Literature DB >> 28081052

Identification of Key Transcription Factors Associated with Lung Squamous Cell Carcinoma.

Feng Zhang1, Xia Chen2, Ke Wei3, Daoming Liu4, Xiaodong Xu5, Xing Zhang2, Hong Shi4.   

Abstract

BACKGROUND Lung squamous cell carcinoma (lung SCC) is a common type of lung cancer, but its mechanism of pathogenesis is unclear. The aim of this study was to identify key transcription factors in lung SCC and elucidate its mechanism. MATERIAL AND METHODS Six published microarray datasets of lung SCC were downloaded from Gene Expression Omnibus (GEO) for integrated bioinformatics analysis. Significance analysis of microarrays was used to identify differentially expressed genes (DEGs) between lung SCC and normal controls. The biological functions and signaling pathways of DEGs were mapped in the Gene Otology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, respectively. A transcription factor gene regulatory network was used to obtain insights into the functions of DEGs. RESULTS A total of 1,011 genes, including 539 upregulated genes and 462 downregulated genes, were filtered as DEGs between lung SCC and normal controls. DEGs were significantly enriched in cell cycle, DNA replication, p53 signaling pathway, pathways in cancer, adherens junction, and cell adhesion molecules signaling pathways. There were 57 transcription factors identified, which were used to construct a regulatory network. The network consisted of 736 interactions between 49 transcription factors and 486 DEGs. NFIC, BRCA1, and NFATC2 were the top 3 transcription factors that had the highest connectivity with DEGs and that regulated 83, 82, and 75 DEGs in the network, respectively. CONCLUSIONS NFIC, BRCA1, and NFATC2 might be the key transcription factors in the development of lung SCC by regulating the genes involved in cell cycle and DNA replication pathways.

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Year:  2017        PMID: 28081052      PMCID: PMC5248564          DOI: 10.12659/msm.898297

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Lung cancer is the most frequent cause of cancer death and an estimated 1.8 million new cases occurred in 2012 worldwide, accounting for about 13% of total cancer diagnosis [1]. Lung cancer is the leading cancer site in males, including 17% of the total new cancer cases and 23% of the total cancer deaths in 2008 worldwide [2]. Tobacco use is the major risk factor for lung cancer [3]. Lung cancer is classified as non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) according to histopathology appearance. NSCLC accounts for 80% of lung cancers. NSCLC is divided into three major histological subtypes, including adenocarcinoma (AC), squamous cell carcinoma (SCC), and large cell carcinoma (LCC) [4]. Lung SCC is the second most frequent type of NSCLC after lung AC [5]. In recent years, molecular target therapies for lung AC, including tyrosine kinase inhibitor (gefitinib/erlotinib) against EGFR-sensitive mutants [6,7], crizotinib against ALK fusion [8], and bevacizumab against VEGF over-expression [9], have shown remarkable therapeutic efficacy. However, there is no currently approved molecular target therapy for treatment of lung SCC other than chemotherapy [10-12]. Currently, the pathogenesis mechanism of lung SCC remains unclear. It is reported that dysregulated genes, dysregulated miRNAs, and aberrantly methylated genes are associated with the progression of lung SCC. Hugl-l functions as a tumor suppressor, and the reduced expression of Hugl-1 shows an inverse correlation with lung SCC progression; inhibition of Hugl-1 contributes to the progression of lung squamous cell carcinoma [13]. USP7 overexpression may regulate the survival and invasive properties of lung SCC and predict a poor prognosis of lung SCC [14]. Inhibition of the tumor-suppressive miR-29 family enhances cell invasion in lung SCC through direct regulation of oncogenic LOXL2 [15]. PRDM5 is a tumor suppressor frequently downregulated in tumors. DNA methylation of PRDM5 promoter contributes to the development of lung SCC [16]. Transcription factors function by regulating gene expression through binding to specific DNA sequences and play essential roles in cancer cell processes, including cell proliferation, apoptosis, and migration. Downregulation of transcription factor PROX1 in esophageal squamous cell carcinoma (ESCC) inhibits cellular proliferation and migration; high expression of PROX1 in ESCC could be used as an indicator of poor prognosis [17]. FOXP3 inhibition decreases cell proliferation, migration, invasion, and the secretion of inhibitory cytokines in lung AC [18]. In this study, we used bioinformatics methods to integrate mRNA expression data of lung SCC patients (which were available on the GEO database) in order to identify DEG differences between lung SCC and normal controls. We constructed a transcription factor gene regulatory network of DEGs in lung SCC to find the key transcription factors in lung SCC. The aim of this study was to provide valuable information for further elucidation of the mechanism of pathogenesis and to identify potential therapeutic targets for lung SCC.

Material and Methods

Microarray data

The Gene Expression Omnibus (GEO, ) database was retrieved in order to obtain the microarray data of lung SCC (up to January 1, 2015). The datasets including more than six lung SCC cases or controls. The inclusion criteria of datasets were set as follows: 1) the whole-genome expression profiling of lung SCC tissues or normal control tissues was available in the datasets; and 2) patients did not have preoperative treatment before collection of tumor tissues and normal controls. A total of six mRNA expression datasets of lung SCC were used in our study. Two datasets were based on a platform of GPL6480 Agilent-014850 Whole Human Genome Microarray 4x44K; other datasets were based on platforms of GPL10558 Illumina HumanHT-12 V4.0 expression beadchip, GPL6947 Illumina HumanHT-12 V3.0 expression beadchip, GPL9053 Agilent-UNC-custom-4X44K, and GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array.

Data preprocessing

Different sequencing platforms are known to commonly cause heterogeneity among different microarray datasets, which makes it difficult to compare microarray datasets directly. To eliminate these discrepancies, the raw expression datasets were downloaded and preprocessed, and background correction and normalization was performed using R package metaMA [19]. For each gene, the expression level was calculated.

Identification of DEGs

The linear model limma [20] package for microarray data in R language was used to analyze the chip data. A t-test was used to identify genes expressed differently between lung SCC tumor samples and normal tissues samples. The p value and fold change were calculated. The p values from multiple studies were combined using Fisher’s combined probability method. The false discovery rate (FDR) [21] was used for multiple test corrections of raw p values using the Benjamini and Hochberg method [22]. The threshold for the DEGs was set as FDR <0.01.

Hierarchical clustering

Hierarchical clustering has been extensively applied to identify groups of similarly expressed genes from gene expression data. To reveal samples in which the closest groups were adjacent, a two-way hierarchical clustering analysis [23] was applied to genes using the “pheatmap” package in R language. The results were displayed using a heat map.

GO and KEGG pathway enrichment analysis of DEGs

GO analysis has commonly been used for functional studies of large-scale transcriptomics data. The KEGG pathway database contains information of gene networks [24]. GOrilla was used for GO analysis and the Database for Annotation Visualization and Integrated Discovery (DAVID) [25] was used for KEGG pathway enrichment of DEGs. The threshold of GO function and KEGG pathway of DEGs was set as p<0.001 and FDR <0.01, respectively.

Identification of transcription factors and targeted genes

TRANSFAC () [26] provides data on eukaryotic transcription factors, and includes experimentally-proven binding sites and consensus binding sequences. Data of Position Weight Matrix (PMW), human transcription factors, and binding sites motif of transcription factors were downloaded from TRANSFAC. Based on the downloaded data, DEGs were used for screening transcription factors and obtaining transcription factor regulated genes.

Construction of transcription factor regulatory network

The identified transcription factors and target genes were used for regulatory network construction, and the network was visualized by Cytoscape software () [27]. In this system, nodes represent transcription factors or target genes, and lines represent associations between transcription factors and target genes.

Results

Differentially expressed genes in lung SCC

We collected six mRNA expression profiles (GSE60644, GSE40588, GSE33479, GSE23822, GSE17710, and GSE10245), including 167 lung SCC cases and 99 normal controls (Table 1). After normalization of the raw microarray data, 1,011 significant DEGs were identified in lung SCC compared to normal controls, including 549 upregulated and 462 downregulated genes based on the cut-off criteria. The top 15 significantly upregulated and downregulated genes are listed in Table 2. The full list of DEGs are shown in Supplementary Table 1. The expression pattern of the top 200 significant DEGs are displayed in Figure 1.
Table 1

mRNA expression profiles of lung squamous cell carcinoma in GEO database.

GEO IDControlCasePlatformYearAuthor
GSE606441223GPL10558 Illumina HumanHT-12 V4.0 expression beadchip2014Staaf J. et al.
GSE40588600GPL6480 (Agilent-014850 Whole Human Genome Microarray 4x44K)2014Bangrong C. et al.
GSE334792714GPL6480 (Agilent-014850 Whole Human Genome Microarray 4x44K)2014Mascaux C. et al.
GSE23822056GPL6947 (Illumina HumanHT-12 V3.0 expression beadchip)2012Wright C.M. et al.
GSE17710056GPL9053 (Agilent-UNC-custom-4X44K)2010Wilkerson M.D. et al.
GSE10245018GPL570 ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array)2008Kuner R. et al.
Table 2

Differentially expressed genes in lung SCC.

Gene symbolOfficial full nameLog2FCp-valueFDR
Up-regulation (top15)
HOXC13Homeobox C1311.676081.11×10−431.31×10−41
HOXD13Homeobox D1311.29232.95×10−226.08×10−21
KRT31Keratin 3111.188911.29×10−253.82×10−24
HOXD11Homeobox D1111.104951.02×10−346.57×10−33
ZIC5Zic family member 510.884175.00×10−312.33×10−29
AKR1B15Aldo-keto reductase family 1, member B1510.82674.25×10−281.56×10−26
RAET1LRetinoic acid early transcript 1L10.79267.02×10−333.89×10−31
KRTAP4-1Keratin associated protein 4-110.740824.22×10−393.88×10−37
GNGT1G protein subunit gamma transducin 110.71814.89×10−591.29×10−56
DLX6Distal-less homeobox 610.555079.98×10−335.48×10−31
C12orf56Chromosome 12 open reading frame 5610.504867.72×10−471.15×10−44
SYT14Synaptotagmin 1410.423591.39×10−285.34×10−27
PITX2Paired like homeodomain 210.293137.09×10−251.93×10−23
DSG3Desmoglein 310.207772.59×10−351.75×10−33
PGLYRP3Peptidoglycan recognition protein 310.12291.11×10−232.67×10−22
Down-regulation (top 15)
LOC149620Chitinase, acidic pseudogene 2−12.15942.40×10−278.31×10−26
CYP1A2Cytochrome P450 family 1 subfamily A member 2−9.762711.98×10−234.63×10−22
CAV3Caveolin 3−9.347243.51×10−261.08×10−24
OTCOrnithine carbamoyltransferase−9.082171.61×10−223.42×10−21
CLDN18Claudin 18−8.694775.95×10−282.15×10−26
LOC572558PGM5 antisense RNA 1−8.669281.46×10−264.65×10−25
LCN6Lipocalin 6−8.611488.39×10−231.84×10−21
GUCA2AGuanylate cyclase activator 2A−8.364334.32×10−239.72×10−22
GP9Glycoprotein IX platelet−8.360524.11×10−228.40×10−21
OR6K3Olfactory receptor family 6 subfamily K member 3−8.176552.75×10−291.13×10−27
CELA2BChymotrypsin like elastase family member 2B−7.983067.15×10−272.36×10−25
HBMHemoglobin subunit mu−7.846571.22×10−315.96×10−30
AGERAdvanced glycosylation end product-specific receptor−7.53243.96×10−465.57×10−44
RXFP2Relaxin/insulin-like family peptide receptor 2−7.288484.61×10−383.85×10−36
ACSM2AAcyl-CoA synthetase medium-chain family member 2A−7.195241.04×10−242.78×10−23

FC – fold change; FDR – false discovery rate; lung SCC – lung squamous cell carcinoma.

Figure 1

Heat map of differentially expressed genes in lung squamous cell carcinoma. The hierarchical clustering was performed on gene expression profiles of the top 200 DEGs between lung SCC and normal controls. Each column represents a specimen and each row represents a gene. Red color indicates genes that were upregulated and green color indicates genes that were downregulated. Black indicates genes whose expression was unchanged in tumors as compared to normal.

GO annotation of DEGs in lung SCC

DEGs of lung SCC were performed uisng GO annotation to ascertain their biological roles. The threshold of GO terms was a p value <0.001. Vesicle-mediated transport (GO: 0016192, p=2.69×10−12), regulation of multicellular organismal process (GO: 0051239, p=9.39×10−10) and regulation of cell migration (GO: 0030334, p=2.25×10−9) were the most significant enrichments of biological process. Molecular transducer activity (GO: 0060089, p=1.66×10−13), receptor activity (GO: 0004872, p=1.67×10−12) and signal transducer activity (GO: 0004871, p=1.49×10−11) were the highest for enrichment of molecular function. Membrane part (GO: 0044425, p=3.30×10−27), intrinsic component of membrane (GO: 0031224, p=1.76×10−21), and integral component of membrane (GO: 0016021, p=4.01×10−20) were the highest for enrichment of cellular components, as shown in Table 3.
Table 3

GO terms of DEGs in lung SCC (top 15).

GO IDGO termsp-valueFDR
Biological process
GO: 0016192Vesicle-mediated transport2.69×10−121.64×10−8
GO: 0051239Regulation of multicellular organismal process9.39×10−102.85×10−6
GO: 0030334Regulation of cell migration2.25×10−94.56×10−6
GO: 2000145Regulation of cell motility2.47×10−93.75×10−6
GO: 0045765Regulation of angiogenesis2.67×10−93.25×10−6
GO: 1901342Regulation of vasculature development3.89×10−93.94×10−6
GO: 0040012Regulation of locomotion4.95×10−94.30×10−6
GO: 0002682Regulation of immune system process6.04×10−94.59×10−6
GO: 0051270Regulation of cellular component movement9.70×10−96.55×10−6
GO: 0006897Endocytosis9.86×10−95.99×10−6
GO: 0044765Single-organism transport1.04×10−85.76×10−6
GO: 0030155Regulation of cell adhesion1.08×10−85.49×10−6
GO: 0048583Regulation of response to stimulus1.74×10−88.16×10−6
GO: 0007166Cell surface receptor signaling pathway2.25×10−89.75×10−6
GO: 0006810Transport2.68×10−81.09×10−5
Molecular function
GO: 0060089Molecular transducer activity1.66×10−132.30×10−10
GO: 0004872Receptor activity1.67×10−121.15×10−9
GO: 0004871Signal transducer activity1.49×10−116.85×10−9
GO: 0038023Signaling receptor activity1.52×10−105.27×10−8
GO: 0004888Transmembrane signaling receptor activity6.44×10−101.78×10−7
GO: 0008201Heparin binding9.92×10−72.29×10−4
GO: 1901681Sulfur compound binding2.00×10−63.96×10−4
GO: 0005539Glycosaminoglycan binding6.45×10−61.12×10−3
GO: 0005102Receptor binding1.18×10−51.82×10−3
GO: 0008289Lipid binding1.78×10−52.47×10−3
GO: 0004930G-protein coupled receptor activity2.25×10−52.83×10−3
GO: 0005178Integrin binding3.73×10−54.30×10−3
GO: 0005344Oxygen transporter activity7.34×10−57.82×10−3
GO: 0019825Oxygen binding7.34×10−57.26×10−3
GO: 0020037Heme binding1.74×10−41.61×10−2
Cellular component
GO: 0044425Membrane part3.39×10−272.56×10−24
GO: 0031224Intrinsic component of membrane1.76×10−216.64×10−19
GO: 0016021Integral component of membrane4.01×10−201.01×10−17
GO: 0005886Plasma membrane9.98×10−191.88×10−16
GO: 0044459Plasma membrane part4.64×10−147.00×10−12
GO: 0031226Intrinsic component of plasma membrane7.88×10−139.90×10−11
GO: 0005887Integral component of plasma membrane2.02×10−122.17×10−10
GO: 0016020Membrane2.16×10−112.04×10−9
GO: 0044433Cytoplasmic vesicle part1.18×10−79.92×10−6
GO: 0009986Cell surface2.03×10−71.53×10−5
GO: 0031090Organelle membrane3.75×10−72.57×10−5
GO: 0098805Whole membrane4.60×10−72.89×10−5
GO: 0031012Extracellular matrix6.73×10−73.90×10−5
GO: 0098588Bounding membrane of organelle3.05×10−61.64×10−4
GO: 0031982Vesicle4.19×10−62.11×10−4

FDR – false discovery rate; lung SCC – lung squamous cell carcinoma.

KEGG pathway enrichment of DEGs in lung SCC

To obtain the signaling pathways of DEGs in lung SCC, the KEGG pathways were enriched for DEGs in lung SCC through DAVID. The threshold was FDR <0.01. The significantly enriched signaling pathways consisted of cell cycle (FDR=4.05×10−30), DNA replication (FDR=6.87×10−13), p53 signaling pathway (FDR=1.25×10−7), pathways in cancer (FDR=2.73×10−5), adherens junction (FDR=6.95×10−4), and cell adhesion molecules (FDR=6.95×10−4), as shown in Table 4. There were 38, 14, 13, 23, and 12 DEGs enriched in cell cycle, DNA replication, p53 signaling pathway, pathways in cancer, and cell adhesion molecules, respectively.
Table 4

KEGG enrichment analysis of DEGs in lung SCC (top 15).

KEGG IDKEGG termsp-vlaueFDRCount of No.
hsa04110Cell cycle2.18E-324.05E-3038
hsa04114Oocyte meiosis5.3E-154.93E-1322
hsa03030DNA replication1.11E-146.87E-1314
hsa04115p53 signaling pathway2.68E-91.25E-713
hsa04914Progesterone-mediated oocyte maturation4.86E-91.81E-714
hsa00230Purine metabolism7.66E-82.37E-617
hsa05200Pathways in cancer1.03E-62.73E-523
hsa03440Homologous recombination2.54E-55.91E-46
hsa04520Adherens junction3.53E-56.95E-49
hsa04514Cell adhesion molecules (CAMs)3.74E-56.95E-412
hsa04270Vascular smooth muscle contraction4.26E-57.21E-411
hsa00240Pyrimidine metabolism5.43E-58.42E-410
hsa04330Notch signaling pathway6.46E-59.24E-47
hsa03430Mismatch repair1.15E-41.52E-35
hsa04610Complement and coagulation cascades1.22E-41.52E-38

FDR – false discovery rate; lung SCC – lung squamous cell carcinoma.

Construction of transcription factor gene regulatory network

Based on the TRANSFAC database, a total of 57 transcription factors and corresponding target genes were identified in the lung SCC-associated DEGs, including 20 upregulated transcription factors and 37 downregulated transcription factors. The 57 transcription factors and target genes were used to construct a regulatory network using Cytoscape software, as shown in Figure 2: red and green circular nodes represented upregulated and downregulated transcription factors, respectively; blue circular nodes represented DEGs; lines represented the regulatory correlations between transcription factors and DGEs. The transcription factor gene network consisted of 736 interactions between 49 transcription factors and 486 DEGs. The top 10 transcription factors that regulated DEGs the most were NFIC, BRCA1, NFATC2, NR4A2, EGR1, ELF5, HOXA5, FOXD1, ZEB1, and KLF5, as shown in Supplementary Table 2.
Figure 2

The transcription factor gene regulatory network of lung SCC. Green and red rectangle nodes represent downregulated and upregulated transcription factors, respectively. Blue circular nodes represent DEGs. Solid lines represent regulatory correlation between transcription factors and DEGs.

Discussion

In our study, NFIC regulated 83 DEGs and had the highest connectivity with DEGs in lung SCC. The expression level of NFIC was significantly downregulated in lung SCC compared to normal controls. NFIC regulated three of the top 15 upregulated genes, including GNGT1, DLX6, and PITX2 (Supplementary Table 2, Figure 2). NFIC has been shown to encode nuclear factor I/C, which belongs to the CTF/NF-I family. It has been reported that NFIC is associated with the tumor genesis of breast cancer, gastric cancer, and glioma [28-30]. NFIC is downregulated in invasive and noninvasive breast cancer cells compared to normal breast epithelial cells. Over-expression of NFIC induces expression of E-cadherin and KLF4 in breast cancer, which maintains epithelial differentiation status, leads to inhibition of EMT, and migration and invasion in breast cancer cells [30]. Recent reports suggest NFIC is dysregulated in gastric cancer. The NFI family has been shown to regulate the expression of B-FABP and GFAP, and results in increases in cell migration and anaplasia in malignant glioma cells [28]. NFIC has not previously been reported to be related to lung SCC. In our study, NFIC was a key transcription factor in the regulatory network (Figure 2), which indicates that NFIC might contribute to the pathogenesis of lung SCC. The biological function of NFIC in lung SCC needs to be further elucidated. In our study, BRCA1 had the second highest connectivity with DEGs, and it regulated 82 DEGs in the regulatory network (Supplementary Table 2, Figure 2). BRCA1 was significantly upregulated in lung SCC compared to normal controls. BRCA1 is known to encode the breast cancer 1 gene and act as a tumor suppressor. Mutations in this gene are responsible for approximately 40% of inherited breast cancers and 80% of inherited ovarian cancers [31]. Mounting evidence shows that the expression of BRCA1 is associated with the natural prognosis and treatment prognosis in lung cancer [32,33]. High levels of BRCA1 and SETDB1 expression have been significantly associated with shorter disease-free survival in stage I NSCLC patients [33]. NSCLC patients lacking the expression of ERCC1 and BRCA1 benefit more from adjuvant cisplatin-based chemotherapy compared with patients that expressed either ERCC1 or BRCA1 [32]. All of the aforementioned suggests that BRCA1 might play a vital role in cell proliferation, motility, and invasion of NSCLC. In our study, NFATC2 regulated 75 DEGs in the regulatory network (Supplementary Table 2, Figure 2) and had the third highest connectivity with DEGs. NFATC2 was downregulated in lung SCC compared to normal controls. The second top upregulated gene (Table 2), HOXD13, was regulated by NFATC2. NFATC2 is known to encode the nuclear factor of activated T-cells, cytoplasmic, and calcineurin-dependent 2, which is a member of the nuclear factor of activated T cells family. NFATC2 is considered to be involved in the development of cardiac, skeletal muscle, nervous system, and tumor genesis. NFATC2 contributes to the development of breast cancer, colon cancer, and lung cancer [34-37]. In the experimental model, NFATC2-deficient mice with colitis were protected from colorectal carcinoma development, in contrast to wild-type BALB/c mice [34]. Moreover, NFATC2 has been shown to promote the migration and invasion of breast cancer cells in vitro [36]. In breast cancer, NFATC2-mediated IL8 production promotes the migration of primary human neutrophils in vitro, and promotes neutrophil infiltration in tumor xenografts and suppresses tumor growth [37]. NFATC2 is known to be overexpressed in lung cancer, and depleting the expression of NFATC2 in NSCLC cells can inhibit cell invasion, migration, and metastasis. In our study, NFATC2 was downregulated in lung SCC, the biological functions of NFATC2 in the development of lung SCC were unclear, and the underlying mechanism of action needs further study. A total of 1,011 DEGs were identified in lung SCC compared to normal controls. All of the DEGs were significantly enriched in several KEGG pathways, including cell cycle, DNA replication, p53 signaling pathway, pathways in cancer, adherens junction, and cell adhesion molecules (Table 4). It has been previously reported that cell cycle and DNA replication is significantly enriched in lung SCC [38], which is accordance with our analysis.

Conclusions

We identified 1,011 DEGs, including 549 upregulated genes and 462 downregulated genes, in lung SCC. Transcription factors of lung SCC were identified and assays performed to construct a transcription factor regulatory network. In this network, we found several transcription factors, including NFIC, BRCA1, and NFATC2, which may play important roles in lung SCC via cell cycle and DNA replication signaling pathways. Our findings might provide valuable information for additional pathogenesis elucidation of lung SCC. Moreover, our study revealed that NFIC, BRCA1, and NFATC2 might be clinically useful if tested further for their therapeutic value. The full list of DEGs in lung SCC. FC – fold change; FDR – false discovery rate; lung SCClung squamous cell carcinoma. The top 10 transcription factors regulated DEGs in lung SCC. TFs – transcription factors; FC – fold change; lung SCClung squamous cell carcinoma.
Supplementary Table 1

The full list of DEGs in lung SCC.

Gene symbolLog2FCp-valueFDR
Up-regulation
HOXC1311.676081.11×10−431.31×10−41
HOXD1311.29232.95×10−226.08×10−21
KRT3111.188911.29×10−253.82×10−24
HOXD1111.104951.02×10−346.57×10−33
ZIC510.884175.00×10−312.33×10−29
AKR1B1510.82674.25×10−281.56×10−26
RAET1L10.79267.02×10−333.89×10−31
KRTAP4-110.740824.22×10−393.88×10−37
GNGT110.71814.89×10−391.29×10−56
DLX610.555079.98×10−335.48×10−31
C12orf5610.504867.72×10−471.15×10−44
SYT1410.423591.39×10−285.34×10−27
PITX210.293137.09×10−251.93×10−23
DSG310.207772.59×10−351.75×10−33
PGLYRP310.12291.11×10−232.67×10−22
TMPRSS11F10.05734.58×10−231.03×10−21
CST410.004511.43×10−295.98×10−28
BARX19.7865843.05×10−247.81×10−23
HOXA139.7688954.28×10−261.31×10−24
CALML39.6768662.86×10−268.86×10−25
DLX6AS9.6078128.04×10−303.42×10−28
KRT6C9.490449.95×10−388.11×10−36
USH1G9.3564531.93×10−341.22×10−32
TERT9.3023195.49×10−394.99×10−37
C5orf469.2476333.62×10−332.08×10−31
KRT6A9.1757381.62×10−371.31×10−35
AKR1B109.0507927.46×10−231.64×10−21
KRT749.0243612.30×10−267.16×10−25
KRT168.9903613.06×10−331.78×10−31
SPERT8.9660051.20×10−358.41×10−34
GABRA38.9305463.48×10−352.32×10−33
KRT6B8.8949161.35×10−348.59×10−33
LOC3396748.8405818.47×10−481.31×10−45
GABRQ8.7656599.34×10−232.03×10−21
IL1F58.7587931.98×10−224.16×10−21
ZIC28.6848946.98×10−333.87×10−31
PRAME8.6154225.36×10−241.35×10−22
SERPINB58.3840972.04×10−524.15×10−50
GJB68.3409886.15×10−272.05×10−25
DLL38.2342242.29×10−256.62×10−24
FOXE18.2287934.91×10−241.24×10−22
NMU8.0966276.08×10−251.66×10−23
PNCK8.0873771.21×10−315.93×10−30
ABCA127.9470861.81×10−371.46×10−35
LOC6425877.7355361.09×10−357.66×10−34
FAM131C7.6959122.95×10−351.98×10−33
FOXD37.6652175.47×10−241.37×10−22
DVWA7.6266072.90×10−301.28×10−28
DQX17.5879936×10×10−447.37×10−42
KRT57.5139292.84×10−268.78×10−25
DUSP97.3387122.55×10−382.17×10−36
GUCA1A7.3127471.47×10−275.14×10−26
PITX17.1789732.40×10−514.65×10−49
GRHL37.1634255.74×10−395.19×10−37
CA97.147972.94×10−226.07×10−21
COL11A17.1141745.99×10−292.40×10−27
GPR877.0583477.88×10−407.53×10−38
RAB3B6.9758453.58×10−251.01×10−23
GAL6.9724011.87×10−234.38×10−22
RIMS26.9123685.50×10−241.38×10−22
DSC36.7905659.81×10−293.83×10−27
RAD51AP26.7601571.20×10−222.58×10−21
FAM83B6.6827553.54×10−444.43×10−42
RDM16.6802391.56×10−421.71×10−40
HIST1H2BH6.6761843.21×10−341.98×10−32
KRT176.4825334.25×10−271.44×10−25
B4GALNT46.3788985.07×10−394.63×10−37
FAT26.2528993.61×10−271.24×10−25
NXPH46.1618884.61×10−424.88×10−40
UCN26.0831645.41×10−261.64×10−24
COL7A16.0699268.58×10−345.09×10−32
MMP126.0436393.19×10−362.35×10−34
CHRNB46.0380511.51×10−243.99×10−23
S100A26.0345989.51×10−252.56×10−23
FAM83F5.9870371.53×10−452.08×10−43
OTX15.9139711.71×10−361.29×10−34
PTHLH5.9110665.97×10−241.49×10−22
GJB55.9100181.73×10−286.59×10−27
TFAP2A5.8986861.99×10−574.75×10−55
ZNF6955.8576763.04×10−247.81×10−23
PPP2R2C5.844559.58×10−242.32×10−22
KREMEN25.8136381.98×10−234.62×10−22
DLX55.7437081.04×10−315.16×10−30
KRT155.7037382.04×10−224.27×10−21
TMPRSS45.6815388.78×10−314.03×10−29
SLC2A15.6082471.03×10−613.20×10−39
SHOX25.5403055.29×10−302.28×10−28
TNS45.4893932.16×10−288.16×10−27
NKAIN15.444171.62×10−254.76×10−24
CDC455.3962025.31×10−746.82×10−71
CASKIN15.3945524.73×10−231.06×10−21
GJB25.3756271.68×10−254.94×10−24
MMP115.307695.44×10−322.80×10−30
TP635.2753532.11×10−234.91×10−22
BIRC55.2624646.28×10−751.07×10−71
RASAL15.2365342.17×10−341.36×10−32
TTK5.1845751.93×10−742.82×10−71
HOXA105.1804993.17×10−281.18×10−26
CENPA5.1580776.59×10−747.96×10−71
DEPDC15.1545455.80×10−771.68×10−73
MYBL25.1480391.16×10−709.50×10−68
TROAP5.132111.71×10−742.70×10−71
KIF18B5.1314831.42×10−688.84×10−66
WDR725.1087634.78×10−251.32×10−23
UBE2C5.101661.60×10−775.46×10−74
NEK25.0908342.01×10−781.37×10−74
NEIL35.084591.45×10−462.09×10−44
KIF4A5.0538567.81×10−811.60×10−76
LYPD35.0464973.12×10−301.38×10−28
POLQ4.9955222.51×10−649.90×10−62
TMEM404.9759232.30×10−267.16×10−25
RHOV4.9705188.12×10−365.79×10−34
HJURP4.9471071.74×10−801.78×10−76
DLGAP54.9446021.58×10−691.12×10−66
BUB1B4.9392961.27×10−775.23×10−74
NUF24.9286341.70×10−711.52×10−68
TRIM294.9261133.76×10−251.05×10−23
KIF144.9153276.74×10−694.33×10−66
TPX24.8860943.20×10−781.64×10−74
STRA64.8835792.73×10−257.79×10−24
EXO14.8740453.73×10−745×10×10−71
E2F74.8675896.83×10−391.78×10−56
SPC244.85091.66×10−411.71×10−39
MELK4.8461983.13×10−661.49×10−63
AURKB4.8414816.30×10−673.32×10−64
CDC204.8328981.82×10−763.75×10−73
CDC25C4.8129712.43×10−649.77×10−62
GJB34.7947711.60×10−265.07×10−25
ALG1L4.7837083.24×10−362.38×10−34
FOXM14.7586292.36×10−649.71×10−62
CTSL24.7557568.30×10−449.85×10−42
DEPDC1B4.7275469.84×10−654.21×10−62
FGF114.7158974.72×10−414.71×10−39
RAD54L4.7147781.81×10−711.54×10−68
ARTN4.7061661.57×10−286.00×10−27
IGSF94.6964053.38×10−433.81×10−41
TOP2A4.6645921.28×10−677.76×10−65
PBK4.6470675.53×10−601.60×10−57
EPR14.6156421.28×10−624.70×10−60
ANLN4.5917992.46×10−671.36×10−64
KIF2C4.590671.31×10−762.99×10−73
C15orf424.5837784.02×10−569.07×10−54
SLC44A54.5756481.71×10−255.02×10−24
ASPM4.5580952.41×10−628.49×10−60
MCM104.5346392.73×10−661.33×10−63
CDCA34.5104274.04×10−724.36×10−69
SKA14.5039865.42×10−621.79×10−39
PKMYT14.500083.21×10−609.42×10−58
CCNB24.4966255.08×10−725.22×10−69
PSAT14.4540871.18×10−502.18×10−48
FAM64A4.4489492.95×10−587.29×10−56
CKAP2L4.4196617.55×10−727.38×10−69
NCAPH4.4057231.02×10−719.52×10−69
MND14.3639211.40×10−393.89×10−57
C9orf1404.3538783.33×10−505.99×10−48
CENPF4.3467625.06×10−571.17×10−54
B3GNT44.3278025.06×10−251.40×10−23
TRIP134.3179942.00×10−671.14×10−64
GTSE14.3129171.61×10−646.74×10−62
NKPD14.3034653.33×10−281.24×10−26
CEP554.2849652.79×10−651.25×10−62
SGOL14.2844471.14×10−655.21×10−63
UHRF14.2827682.52×10−396.89×10−57
SKA34.2778083.24×10−692.15×10−66
NDC804.269368.77×10−612.65×10−58
PLK14.2631596.53×10−771.68×10−73
CDCA24.2596621.43×10−583.62×10−56
C16orf594.2206997.47×10−602.13×10−57
CDC64.2143851.59×10−625.72×10−60
ALDH3B24.1766554.58×10−251.27×10−23
PVRL14.172061.62×10−351.12×10−33
SLC6A84.1678397.32×10−344.38×10−32
EPN34.1544541.28×10−371.04×10−35
DSP4.1393182.57×10−473.88×10−45
KIF154.1314042.94×10−566.70×10−54
CENPI4.1187321.88×10−584.71×10−56
RRM24.1150263.67×10−399.92×10−57
ORC6L4.0960112.35×10−661.17×10−63
ESPL14.0864997.36×10−622.32×10−39
OIP54.0788644.35×10−621.49×10−39
PTTG3P4.0730752.83×10−321.49×10−30
CDCA54.0673121.39×10−752.60×10−72
SPC254.0469982.44×10−628.49×10−60
KIF20A4.0172537.31×10−632.73×10−60
GINS14.0115873.78×10−631.46×10−60
RECQL43.9766341.46×10−522.99×10−50
FERMT13.9689325.24×10−343.14×10−32
KIF233.9682132.22×10−732.53×10−70
NCAPG3.9655412.62×10−691.80×10−66
CCNA23.9602371.14×10−655.21×10−63
KIF4B3.9552882.41×10−351.63×10−33
FAM83D3.9416137.25×10−491.18×10−46
ORC1L3.9287085.44×10−632.07×10−60
CDT13.9062733.86×10−589.45×10−56
CCNE13.9052455.56×10−509.76×10−48
ERCC6L3.9014391.72×10−482.77×10−46
IQGAP33.899721.47×10−533.12×10−51
E2F83.887842.90×10−505.27×10−48
ESCO23.8861131.15×10−542.52×10−52
CDCA83.8728664.11×10−703.12×10−67
C1orf1353.8534281.32×10−677.77×10−65
AK3L13.8501896.67×10−458.73×10−43
KIAA01013.80511.11×10−461.62×10−44
MKI673.8013864.44×10−486.96×10−46
UBE2T3.7920885.39×10−621.79×10−39
FBXO433.785623.26×10−301.43×10−28
CDKN33.7710154.21×10−486.65×10−46
HELLS3.7445933.17×10−609.42×10−58
CBLC3.7299051.21×10−315.94×10−30
KIF113.7024911.11×10−698.13×10−67
XRCC23.6927121.11×10−502.08×10−48
RAD513.6785993.82×10−672.06×10−64
CDCA73.6783117.55×10−417.41×10−39
GINS23.6768962.62×10−535.44×10−51
BRIP13.6644183.37×10−495.72×10−47
BUB13.6532716.80×10−622.21×10−39
PRC13.6337283.71×10−702.93×10−67
CDC25A3.6196869.37×10−602.64×10−57
SPAG53.6155438.35×10−541.80×10−51
NUSAP13.6147759.72×10−654.21×10−62
HMMR3.6081035.43×10−509.61×10−48
CASC53.6004629.91×10−511.87×10−48
EME13.5886281.21×10−471.86×10−45
CCNB13.5822661.09×10−665.61×10−64
C17orf533.5765272.62×10−525.28×10−50
ESPN3.5632734.19×10−228.56×10−21
MAD2L13.5617211.06×10−582.73×10−56
KIFC13.5531724.27×10−391.14×10−56
TK13.500714.06×10−496.84×10−47
MEX3A3.4966926.18×10−282.23×10−26
MTL53.4774095.71×10−312.64×10−29
F123.4720534.57×10−281.67×10−26
CENPE3.470347.84×10−521.55×10−49
FAM72D3.4529767.98×10−451.04×10−42
CDK13.4451571.90×10−574.60×10−55
ARNTL23.396766.40×10−292.55×10−27
EFNA33.3708016.83×10−375.27×10−35
FAM72A3.3630865.21×10−415.16×10−39
PERP3.3341423.30×10−444.16×10−42
AURKA3.3116863.49×10−611.07×10−58
CLSPN3.3036985.86×10−374.54×10−35
RAD51AP13.2973271.43×10−462.07×10−44
APOBEC3B3.2931812.23×10−245.78×10−23
SLC7A53.282332.96×10−281.11×10−26
GINS43.2770094.18×10−404.03×10−38
MCM23.2752821×10×10−532.35×10−51
ASF1B3.2747374.31×10−497.20×10−47
FAM111B3.2265992.50×10−341.57×10−32
C18orf563.2206861.06×10−315.21×10−30
STIL3.2200467.31×10−622.32×10−39
CENPM3.2198598.77×10−451.13×10−42
C3orf673.2138776.71×10−282.41×10−26
ZWINT3.2116885.80×10−561.29×10−53
GPR193.1976581.42×10−274.99×10−26
C16orf753.1739531.24×10−411.29×10−39
FAM72B3.1659212.44×10−453.25×10−43
PRR113.1609029.90×10−356.39×10−33
WDR623.1561693.08×10−352.06×10−33
E2F23.1496691.90×10−422.06×10−40
CHRNA53.1465143.38×10−291.38×10−27
ECE23.1393911.69×10−381.47×10−36
EZH23.1205031.98×10−462.83×10−44
KIAA15243.1179765.08×10−521.01×10−49
RFC43.1153152.26×10−463.20×10−44
PIF13.0998593.88×10−332.21×10−31
PLEKHG63.0781761.15×10−274.04×10−26
CARD143.0761314.59×10−231.03×10−21
C12orf483.0719742.60×10−422.80×10−40
FANCI3.058561.69×10−553.72×10−53
ARHGAP11A3.0575911.08×10−512.11×10−49
PTTG13.0565464.20×10−579.80×10−55
ECT23.0376866.06×10−447.36×10−42
MLF1IP2.989285.12×10−435.74×10−41
MCM42.9853684.08×10−579.62×10−55
TMEM132A2.9789131.13×10−391.07×10−37
POLE22.9427414.82×10−363.51×10−34
CENPK2.9201341.95×10−361.46×10−34
BLM2.891012.93×10−453.88×10−43
DNA22.869443.03×10−433.43×10−41
NFKBIL22.8643186.18×10−354.06×10−33
C5orf342.860511.45×10−351.00×10−33
SHCBP12.852552.05×10−452.75×10−43
GYLTL1B2.8511551.08×10−222.33×10−21
DTL2.849363.07×10−382.61×10−36
RAD54B2.8333868.52×10−511.62×10−48
C9orf1002.824682.62×10−351.76×10−33
UBE2S2.8038091.89×10−422.06×10−40
IRF62.8024231.21×10−284.71×10−27
FANCB2.7626512.55×10−392.37×10−37
CCNE22.7569191.49×10−349.46×10−33
CHEK12.7465042.41×10−535.05×10−51
MARK12.7271478.69×10−231.90×10−21
HMGA12.7267091.31×10−461.91×10−44
CENPW2.7263817.49×10−344.47×10−32
GSG22.7246674.49×10−383.76×10−36
PLK42.7053753.47×10−506.20×10−48
SIX42.7052238.25×10−313.81×10−29
SPTBN22.6987144.14×10−261.27×10−24
TYMS2.6821852.71×10−331.58×10−31
PPAP2C2.6768262.01×10−245.24×10−23
DSCC12.64751.86×10−411.90×10−39
ATAD52.6233024.51×10−342.74×10−32
GPT22.6067931.43×10−285.48×10−27
PYCR12.5974613.14×10−258.87×10−24
CCNF2.5818342.80×10−505.13×10−48
DDX122.5792154.42×10−229.02×10−21
SLC16A12.574043.27×10−248.38×10−23
TRAIP2.5728499.94×10−471.47×10−44
MTBP2.5647054.11×10−424.39×10−40
TMEM792.5427571.20×10−232.87×10−22
CCDC342.5286064.85×10−425.11×10−40
FAM54A2.5273841.42×10−359.86×10−34
GRHL12.5181912.84×10−225.87×10−21
CDK5R12.5043491.88×10−255.48×10−24
WDHD12.5000717.78×10−449.29×10−42
CDCA42.4971768.31×10−418.12×10−39
TRIM592.4768138.49×10−293.34×10−27
UCK22.47412.75×10−433.13×10−41
GGH2.4693169.20×10−293.61×10−27
CENPH2.4667162.00×10−422.16×10−40
KNTC12.4583122.65×10−412.65×10−39
KPNA22.4306857.10×10−481×10×10−45
SKP22.4299542.76×10−279.51×10−26
CHAF1B2.3984051.87×10−371.50×10−35
KIF18A2.3797081.02×10−346.57×10−33
GPRIN12.375622.62×10−225.43×10−21
CHTF182.3734241.28×10−243.42×10−23
MCM82.3582762.27×10−381.95×10−36
BOP12.3566776.98×10−251.90×10−23
SRD5A12.3550543.51×10−281.30×10−26
CKS1B2.3492251.72×10−351.18×10−33
RACGAP12.3458762.26×10−483.60×10−46
GAPDH2.3403461.23×10−369.42×10−35
HMGB32.3284653.03×10−247.80×10−23
MFSD2B2.3185499.42×10−242.29×10−22
ATAD22.3171084.12×10−445.09×10−42
LOC1001255562.3137556.12×10−333.42×10−31
C1orf742.2869364.67×10−302.02×10−28
TIMELESS2.2649961.13×10−431.31×10−41
RCC12.2598652.44×10−392.28×10−37
C1orf1122.2597276.31×10−385.16×10−36
PKP32.2497977.20×10−272.37×10−25
AURKAPS12.2239385.47×10−251.50×10−23
NCAPG22.2209211.22×10−369.40×10−35
ACTL6A2.1843031.44×10−295.99×10−28
FANCA2.169587.75×10−282.77×10−26
CHEK22.1648674.11×10−311.93×10−29
TPBG2.1542293.94×10−281.46×10−26
C3orf212.1467484.01×10−241.02×10−22
FEN12.1376381.40×10−421.55×10−40
C11orf822.1256012.15×10−234.98×10−22
PAFAH1B32.1044722.15×10−234.98×10−22
DSG22.1030211.34×10−264.27×10−25
FANCD22.1021991.94×10−381.68×10−36
NCAPD22.0996832.44×10−301.09×10−28
LOC1001281912.0962951.89×10−287.19×10−27
CCDC1382.0897874.95×10−291.99×10−27
SGOL22.0867456.87×10−302.94×10−28
SLC25A102.0844611.67×10−275.82×10−26
PPAT2.0743291.35×10−361.03×10−34
CHAF1A2.0671792.15×10−277.47×10−26
LMNB12.0655923.32×10−331.92×10−31
PDK12.0633687.82×10−293.09×10−27
RNASEH2A2.0574191.27×10−316.20×10−30
GMNN2.0497821.26×10−316.15×10−30
MCM72.0476467.13×10−396.42×10−37
THOC32.0460847.06×10−282.53×10−26
GEMIN8P42.0423691.15×10−232.76×10−22
ARHGEF192.0338331.69×10−233.97×10−22
BRCA12.033551.00×10−283.91×10−27
PSRC12.0249311.76×10−286.72×10−27
NPM32.0004811.07×10−263.46×10−25
C19orf481.9964671.51×10−338.91×10−32
PAICS1.9962228.92×10−366.32×10−34
CKAP21.9924194.21×10−373.29×10−35
ZNF3671.9840071.55×10−233.68×10−22
SC651.9758762.87×10−247.39×10−23
NME11.9752386.32×10−302.71×10−28
SFXN11.9668532.33×10−321.24×10−30
GEN11.9659312.50×10−311.19×10−29
FBXO451.9658298.91×10−293.51×10−27
LMNB21.9527324.63×10−271.56×10−25
CENPL1.9443137.20×10−323.63×10−30
TTLL121.9400792.19×10−235.08×10−22
FKBP41.9358217.48×10−292.97×10−27
FIGNL11.9343563.44×10−291.40×10−27
SNHG11.9216147.98×10−252.16×10−23
DBF41.915241.68×10−296.95×10−28
SHMT21.9089722.72×10−372.14×10−35
ZC3H81.9008192.01×10−351.37×10−33
FAM162A1.8908523.60×10−249.17×10−23
GINS31.8892397.18×10−292.85×10−27
C15orf231.8856992.53×10−361.87×10−34
ZWILCH1.8711811.53×10−421.69×10−40
E2F11.8602718.73×10−231.91×10−21
TFAP41.8600163.53×10−321.84×10−30
ALG31.8583911.29×10−243.44×10−23
GMPS1.8572721×10×10−305.01×10−29
CENPN1.8492112.53×10−321.34×10−30
CCDC581.844621.27×10−284.93×10−27
EPT11.8422691.74×10−244.56×10−23
FANCE1.8391785.42×10−251.49×10−23
C21orf451.8243197.93×10−323.96×10−30
H2AFX1.8170849.01×10−272.94×10−25
CENPO1.8051568.70×10−366.18×10−34
SIAH21.8005955.96×10−231.32×10−21
NUP1551.7994841.07×10−263.46×10−25
TUBA1C1.7945497.15×10−323.62×10−30
SASS61.7940242.06×10−331.21×10−31
DONSON1.7932535.06×10−312.36×10−29
POLR2H1.7817481.88×10−276.54×10−26
PCNA1.7814563.59×10−342.20×10−32
TCF191.7775641.43×10−306.47×10−29
NUDT11.7764148.38×10−262.52×10−24
RPP401.7725237.85×10−293×10×10−27
TACC31.7679385.36×10−271.79×10−25
EFNA41.7652921.40×10−264.45×10−25
C6orf1671.7634623.96×10−281.46×10−26
INCENP1.7542522.62×10−279.02×10−26
MYO191.7464191.81×10−308.09×10−29
POC1A1.7417359.78×10−304.13×10−28
MCM61.7405241.47×10−317×10×10−30
PPP1R14B1.7395738.85×10−272.89×10−25
PSMC3IP1.7358252.85×10−236.52×10−22
RFC51.7346432.79×10−321.47×10−30
C15orf411.7328083.43×10−259.67×10−24
GGCT1.7299412.79×10−311.33×10−29
C20orf721.7273647.35×10−365.26×10−34
YDJC1.7247983.80×10−238.62×10−22
RCCD11.7060896.60×10−272.19×10−25
BRI3BP1.7003241.04×10−253.11×10−24
BRIX11.6961389.09×10−272.96×10−25
PPIF1.6946741.49×10−254.41×10−24
GRHL21.6867251.60×10−244.23×10−23
PUS71.6707359.94×10−273.23×10−25
ESRP11.6669181.93×10−308.64×10−29
CCT51.6550271.25×10−295.23×10−28
RANBP11.6508486.50×10−282.34×10−26
DKC11.6353636.84×10−323.47×10−30
SUV39H21.6286265.34×10−271.79×10−25
KIF20B1.6279672.02×10−234.72×10−22
XPOT1.6236172.56×10−267.94×10−25
C3orf261.6122316.70×10−241.67×10−22
COQ31.6028961.08×10−253.21×10−24
UNG1.5960972.84×10−321.49×10−30
RCC21.5892861.36×10−306.16×10−29
RSRC11.5821511.70×10−255.00×10−24
TPI11.5787524.03×10−261.24×10−24
C12orf111.5694817.47×10−323.76×10−30
PSMD21.5632273.47×10−237.89×10−22
MRPL471.562282.12×10−224.44×10−21
ZFP641.5593354.91×10−322.54×10−30
MRPL31.5552038.39×10−334.62×10−31
DDX391.5515324.41×10−228.99×10−21
C20orf201.5492784.98×10−343.00×10−32
TMEM1771.5465825.83×10−271.94×10−25
TOPBP11.5427321.02×10−242.73×10−23
RUVBL11.5384384.95×10−291.99×10−27
HPRT11.5361659.56×10−242.32×10−22
MCM51.5237544.06×10−239.17×10−22
DTYMK1.5180734.07×10−239.19×10−22
WDR121.5113622.90×10−281.09×10−26
NIPSNAP11.5031678.94×10−242.18×10−22
CCDC991.5003155.71×10−282.07×10−26
PSMG31.5002624.33×10−241×10×10−22
RRM11.4981232.26×10−224.72×10−21
PRIM21.4978581.66×10−244.36×10−23
DNAJB111.4891878.45×10−231.85×10−21
SSX2IP1.4787681.76×10−223.71×10−21
WDR531.4751874.87×10−231.09×10−21
CCDC211.4722952.22×10−224.64×10−21
SNRPA11.4694141.61×10−328.62×10−31
CSE1L1.4619114.29×10−373.34×10−35
TARS1.4595092.12×10−256.13×10−24
WDR671.458023.74×10−251.05×10−23
TIMM8A1.4574091.87×10−223.94×10−21
RAE11.4572246.13×10−364.43×10−34
KIF221.4507151.56×10−244.13×10−23
C10orf21.4380439.56×10−242.32×10−22
RFWD31.434592.11×10−288.00×10−27
DCUN1D51.4273769.02×10−231.96×10−21
CPOX1.4243992.66×10−246.87×10−23
SRPK11.4207455.62×10−312.61×10−29
TMEM481.4205365.64×10−241.41×10−22
DCAF131.4185863.15×10−311.50×10−29
HSPD11.4162851.47×10−243.90×10−23
C16orf881.4036933.89×10−271.32×10−25
TMEM1891.3957164.22×10−239.51×10−22
C12orf321.3877653.33×10−237.59×10−22
FLAD11.3829841.05×10−325.74×10−31
DUS4L1.3826262.15×10−245.59×10−23
RANGAP11.3731259.71×10−242.35×10−22
BYSL1.3691321.61×10−244.23×10−23
CSTF21.3680533.96×10−238.96×10−22
CCDC861.3486742.35×10−256.77×10−24
XPO51.3440488.53×10−252.31×10−23
DNAJC91.343223.94×10−301.72×10−28
NUP371.3357453.54×10−259.96×10−24
SPATS21.3339561.20×10−315.89×10−30
PRMT31.3332289.79×10−232.13×10−21
C1orf1311.3301271.36×10−243.61×10−23
DSN11.3293284.50×10−229.16×10−21
B4GALT21.3229379.35×10−252.52×10−23
NAA501.3104844.29×10−251.20×10−23
TBRG41.3088681.24×10−263.99×10−25
CDK41.3059363.04×10−247.81×10−23
PGAM51.29792.13×10−224.45×10−21
CCT31.2961523.16×10−331.83×10−31
NOP561.2830911.02×10−232.47×10−22
METAP11.2725011.05×10−222.28×10−21
SNRPD11.2717441.27×10−222.72×10−21
YWHAZ1.2530882.60×10−257.46×10−24
WDR751.2489562.31×10−311.11×10−29
OLA11.2476611.13×10−222.44×10−21
TUBG11.2413582.71×10−257.74×10−24
RFC21.233772.51×10−235.78×10−22
B3GALNT21.2320651.80×10−244.71×10−23
TH1L1.2285344.96×10−241.25×10−22
ALDH18A11.2273434.89×10−312.29×10−29
FAM136A1.2253456.55×10−241.63×10−22
MEMO11.2217391.50×10−223.19×10−21
TFB2M1.2172136.72×10−231.49×10−21
MTIF21.2137981.33×10−264.27×10−25
TUBB1.2038062.31×10−235.33×10−22
FAM189B1.1976195.38×10−231.20×10−21
HN1L1.1936164.83×10−241.22×10−22
TRAP11.1909453.01×10−226.18×10−21
HDGF1.1887872.04×10−277.09×10−26
R3HDM11.179916.86×10−241.70×10−22
HDAC21.1626762.45×10−235.65×10−22
XPO11.1611852.32×10−235.35×10−22
SLC25A391.1402582.78×10−225.75×10−21
CSNK2A11.1331611.57×10−223.34×10−21
HDAC11.1297966.97×10−241.72×10−22
INTS81.1291347×10×10−241.75×10−22
FARSB1.1184613×10×10−247.95×10−23
TMEM691.1159623.67×10−261.13×10−24
TRAF71.108777.67×10−231.69×10−21
NOL101.0779038.73×10−262.62×10−24
PALB21.0618081.82×10−234.27×10−22
CPSF31.059515.15×10−231.15×10−21
DENR1.0567221.01×10−315.04×10−30
PRPF191.0456523.00×10−291.23×10−27
PSMD121.0355374.44×10−229.04×10−21
PPM1G0.9886281.01×10−232.45×10−22
TAF20.9868981.37×10−233.26×10−22
CCT70.9761011.48×10−223.15×10−21
KCMF10.9375332.22×10−245.76×10−23
Down-regulation
LOC149620−12.15942.40×10−278.31×10−26
CYP1A2−9.762711.98×10−234.63×10−22
CAV3−9.347243.51×10−261.08×10−24
OTC−9.082171.61×10−223.42×10−21
CLDN18−8.694775.95×10−282.15×10−26
LOC572558−8.669281.46×10−264.65×10−25
LCN6−8.611488.39×10−231.84×10−21
GUCA2A−8.364334.32×10−239.72×10−22
GP9−8.360524.11×10−228.40×10−21
OR6K3−8.176552.75×10−291.13×10−27
CELA2B−7.983067.15×10−272.36×10−25
HBM−7.846571.22×10−315.96×10−30
AGER−7.53243.96×10−465.57×10−44
RXFP2−7.288484.61×10−383.85×10−36
ACSM2A−7.195241.04×10−242.78×10−23
GGTLC1−7.101074.79×10−271.62×10−25
CLEC1B−6.890421.58×10−265.01×10−25
TNNC1−6.816535.85×10−282.12×10−26
MS4A15−6.814762.34×10−224.87×10−21
CELA2A−6.68551.73×10−255.07×10−24
C19orf59−6.57941.43×10−411.48×10−39
GPIHBP1−6.526897.73×10−323.87×10−30
ADAMTS8−6.458129.52×10−293.73×10−27
GPD1−6.272756×10×10−491.00×10−46
CLIC5−6.113931.90×10−411.92×10−39
FIGF−6.077332.45×10−289.23×10−27
FAM107A−6.037074.42×10−424.70×10−40
HBB−5.972491.31×10−253.89×10−24
SCUBE1−5.932841.11×10−222.39×10−21
TMEM100−5.915133.29×10−311.56×10−29
CACNA2D2−5.844345.15×10−353.40×10−33
PRG4−5.756922.24×10−288.45×10−27
FCN3−5.655366.26×10−364.51×10−34
VEPH1−5.641091.67×10−275.82×10−26
INMT−5.633991.16×10−431.34×10−41
MARCO−5.521771.72×10−255.03×10−24
HBA2−5.478446.69×10−333.72×10−31
DES−5.462991.94×10−245.06×10−23
SUSD2−5.438932.00×10−371.60×10−35
TNXB−5.411862.72×10−372.14×10−35
C4orf31−5.36041.31×10−264.21×10−25
CLEC3B−5.26131.67×10−492.85×10−47
TCF21−5.232071.65×10−391.56×10−37
ACOXL−5.225721.96×10−298.11×10−28
LRRC36−5.224741.50×10−328×10×10−31
SLC46A2−5.07461.07×10−325.82×10−31
FAM189A2−5.043314.41×10−241.11×10−22
CCL14−4.994031.72×10−234.05×10−22
COL4A3−4.971181.35×10−233.23×10−22
FHL5−4.931285.90×10−323.02×10−30
GPR133−4.885076.57×10−323.34×10−30
IL1RL1−4.855471.41×10−233.35×10−22
ABCA3−4.83122.03×10−234.73×10−22
GYPB−4.808651.45×10−327.90×10−31
ATOH8−4.778353.88×10−301.69×10−28
LRRK2−4.728521.71×10−265.40×10−25
GCOM1−4.725952.22×10−331.30×10−31
LPL−4.65521.04×10−315.14×10−30
PREX2−4.599712.77×10−225.72×10−21
MRC1−4.594731.05×10−294.43×10−28
FOSB−4.583461.56×10−233.70×10−22
C1QTNF7−4.571732.80×10−236.40×10−22
PDK4−4.512651.00×10−263.25×10−25
LYVE1−4.497842.27×10−361.69×10−34
EDNRB−4.489352.39×10−382.04×10−36
NPR1−4.47851.11×10−389.80×10−37
PGM5−4.474873.50×10−248.94×10−23
HSD17B6−4.460569.00×10−491.45×10−46
CCDC48−4.428392.32×10−392.19×10−37
PLAC9−4.420121.55×10−254.57×10−24
LRRN3−4.41589.76×10−242.36×10−22
AFF3−4.394412.44×10−278.42×10−26
TEK−4.371021.40×10−431.61×10−41
HIGD1B−4.368671.48×10−328.01×10−31
NOSTRIN−4.367254.05×10−445.04×10−42
FHL1−4.335982.35×10−392.21×10−37
STEAP4−4.333691.27×10−222.72×10−21
GPR116−4.301211.71×10−452.31×10−43
SELENBP1−4.287631.64×10−286.26×10−27
SYT15−4.283415.03×10−332.85×10−31
SLC19A3−4.266241.13×10−232.72×10−22
SDPR−4.239256.95×10−282.49×10−26
DLC1−4.221431.08×10−431.27×10−41
HSPB6−4.210335.11×10−332.89×10−31
AQP1−4.191978.63×10−355.59×10−33
SLC39A8−4.191555.97×10−447.29×10−42
MFAP4−4.167752.56×10−257.39×10−24
ABI3BP−4.142679.53×10−252.56×10−23
OLR1−4.142033.94×10−251×10×10−23
KL−4.125626.31×10−251.73×10−23
EMCN−4.082011.45×10−351.00×10−33
CPAMD8−4.062854.48×10−251.25×10−23
MMRN1−4.052468.48×10−231.86×10−21
RTKN2−4.044055.50×10−467.68×10−44
FMO2−4.020698.74×10−252.36×10−23
AOC3−4.013571.26×10−337.48×10−32
SHE−4.000921.66×10−361.25×10−34
C11orf9−4.00032.69×10−236.17×10−22
FBP1−3.998033.06×10−291.25×10−27
ARC−3.995555.07×10−251.40×10−23
WISP2−3.985767.95×10−231.75×10−21
ABCC6−3.940261.17×10−305.33×10−29
C6orf174−3.888445.79×10−261.76×10−24
ROBO4−3.870916.42×10−501.12×10−47
FMO5−3.86982.25×10−267.02×10−25
VSIG4−3.861896.51×10−251.77×10−23
A2M−3.850294.70×10−363.43×10−34
SPOCK2−3.849695.18×10−292.08×10−27
CCDC85A−3.848113.00×10−281.12×10−26
GPX3−3.799827.52×10−323.77×10−30
ARHGAP6−3.798063.67×10−311.73×10−29
PRX−3.792354.63×10−394.24×10−37
USHBP1−3.782118.39×10−397.52×10−37
SLC1A1−3.778751.58×10−328.50×10−31
CD36−3.768778.32×10−231.83×10−21
PTPRB−3.752894.22×10−445.18×10−42
S1PR1−3.744943.83×10−403.71×10−38
SPN−3.730162.72×10−291.12×10−27
LIMCH1−3.728544.65×10−281.70×10−26
AKAP2−3.719631.75×10−307.87×10−29
FGFR4−3.711341.39×10−264.44×10−25
TAL1−3.710462.97×10−311.41×10−29
ALDH3B1−3.698845.40×10−322.79×10−30
KANK3−3.692944.49×10−497.43×10−47
COX4I2−3.675386.99×10−302.99×10−28
CDH5−3.671131.26×10−441.61×10−42
CLDN5−3.667021.01×10−304.65×10−29
NRGN−3.665582.83×10−258.05×10−24
MSR1−3.66078.39×10−242.05×10−22
DPEP2−3.642294.71×10−302.04×10−28
CX3CR1−3.625541.22×10−232.92×10−22
LOC158376−3.622523.99×10−311.88×10−29
ARHGEF15−3.619493.07×10−443.89×10−42
SOX17−3.616473.27×10−372.56×10−35
ECSCR−3.608832.05×10−371.63×10−35
RICH2−3.588881.36×10−285.26×10−27
PRAM1−3.586953.58×10−281.33×10−26
PTH1R−3.583113.39×10−259.57×10−24
CD52−3.581541.59×10−275.55×10−26
C13orf15−3.560711.53×10−492.64×10−47
HYAL1−3.559752.04×10−309×10×10−29
VIPR1−3.544553.84×10−271.31×10−25
PKNOX2−3.542647.29×10−241.79×10−22
LDB2−3.525485.25×10−456.91×10−43
GLDN−3.523715.12×10−292.06×10−27
CGNL1−3.520761.23×10−274.35×10−26
ADRB2−3.519512.03×10−234.73×10−22
F10−3.507051.67×10−223.53×10−21
JPH4−3.501744.63×10−229.40×10−21
RASGRP4−3.499124.28×10−322.23×10−30
CAV1−3.487236×10×10−312.82×10−29
HOPX−3.485535.64×10−231.25×10−21
FAM162B−3.475652.80×10−301.24×10−28
SEMA3B−3.47321.80×10−244.71×10−23
CFP−3.467131.13×10−294.75×10−28
GIMAP8−3.465771.77×10−361.32×10−34
PHACTR1−3.463992.75×10−341.72×10−32
CFD−3.435995.06×10−302.18×10−28
RAMP3−3.434981.63×10−361.24×10−34
GRRP1−3.426598.46×10−397.55×10−37
C5orf4−3.418194.63×10−322.40×10−30
SYNE1−3.411182.24×10−309.97×10−29
LAMP3−3.40733.70×10−251.04×10−23
KLF2−3.405311.46×10−381.28×10−36
ALOX5AP−3.403891.40×10−254.14×10−24
VWF−3.394823.82×10−332.18×10−31
OSCAR−3.39291.17×10−305.32×10−29
GSTM5−3.389191.05×10−242.80×10−23
ACVRL1−3.377621.21×10−451.66×10−43
C1orf116−3.366894.27×10−261.31×10−24
MYCT1−3.365082.63×10−412.64×10−39
MS4A7−3.362052.55×10−267.92×10−25
ALOX5−3.359242.65×10−257.58×10−24
ARRB1−3.358913.42×10−331.97×10−31
ESAM−3.354092.52×10−473.83×10−45
NLRC4−3.350655.43×10−384.46×10−36
GNG11−3.335293.12×10−392.89×10−37
CASS4−3.328761.62×10−223.44×10−21
EPAS1−3.317951.64×10−381.43×10−36
CD300C−3.317171.88×10−223.95×10−21
CD93−3.294858.24×10−355.35×10−33
TPPP3−3.276482.40×10−224.99×10−21
PDE2A−3.276012.88×10−268.89×10−25
CLEC14A−3.270857.32×10−438.16×10−41
RAMP2−3.252413.56×10−475.33×10−45
AATK−3.251413.24×10−301.42×10−28
MUSTN1−3.246451.56×10−254.60×10−24
JAM2−3.243443.37×10−301.48×10−28
TMEM88−3.241225.12×10−353.39×10−33
STARD8−3.240311.32×10−348.40×10−33
RNASE1−3.238716.24×10−261.89×10−24
C20orf160−3.229631.34×10−359.35×10−34
CSRNP1−3.227581.07×10−411.12×10−39
FILIP1−3.227512.37×10−235.46×10−22
CD300LF−3.225751.40×10−222.98×10−21
ABCA9−3.222811.08×10−222.33×10−21
LIMS2−3.221212.16×10−311.04×10−29
FOXF1−3.213723.89×10−342.38×10−32
CCRL1−3.207333.47×10−342.14×10−32
STX11−3.206871.34×10−295.61×10−28
HSPA12B−3.203055×10×10−384.22×10−36
GRAMD2−3.194448.20×10−262.47×10−24
FBLN5−3.1821.35×10−285.21×10−27
AMICA1−3.179743.65×10−249.28×10−23
SEMA3G−3.175043.27×10−311.55×10−29
GPBAR1−3.169982.00×10−319.65×10−30
SHROOM4−3.168811.96×10−255.69×10−24
PID1−3.167994.51×10−251.25×10−23
NR4A1−3.163984.02×10−239.08×10−22
PECAM1−3.137411.02×10−451.41×10−43
RHOBTB2−3.133898.02×10−282.86×10−26
TNS1−3.132023.99×10−342.43×10−32
SH2D3C−3.118812.42×10−443.09×10−42
WWC2−3.100116.68×10−364.79×10−34
ADAMTSL4−3.099541×10×10−232.64×10−22
TIE1−3.0974.64×10−342.80×10−32
DUSP1−3.095633.34×10−271.15×10−25
C1orf162−3.081957.24×10−303.08×10−28
FGD5−3.07826.17×10−272.05×10−25
GPR146−3.077418.21×10−511.58×10−48
ADCY4−3.054921.61×10−317.78×10−30
NOVA2−3.048821.61×10−328.62×10−31
DPYSL2−3.045324.03×10−352.68×10−33
PALM2-AKAP2−3.034896.21×10−333.46×10−31
KIAA1462−3.034538.56×10−313.94×10−29
TGFBR2−3.034521.36×10−381.20×10−36
ITGA10−3.018688.09×10−241.98×10−22
CD302−3.007023.53×10−403.44×10−38
RHOJ−3.005054×10×10−332.33×10−31
FAM105A−3.003651.23×10−295.17×10−28
ARHGAP31−32.13×10−298.78×10−28
GIMAP6−2.999334.50×10−261.37×10−24
DOK2−2.987642.90×10−258.22×10−24
DENND2A−2.985871.33×10−253.95×10−24
TUBB1−2.984626.32×10−354.13×10−33
FAM13C−2.97246.72×10−231.49×10−21
C20orf202−2.967041.57×10−233.71×10−22
SLC11A1−2.965214.93×10−271.66×10−25
PCDH12−2.961045.91×10−333.32×10−31
CELF2−2.958536.41×10−251.75×10−23
GATA6−2.94928.57×10−242.09×10−22
FRY−2.945576.24×10−241.56×10−22
FAM23A−2.942971.91×10−224.02×10−21
SIRPB1−2.937615.37×10−231.20×10−21
FGR−2.920741.40×10−264.45×10−25
CCRL2−2.918671.72×10−244.51×10−23
TSPAN12−2.912889.95×10−242.40×10−22
LRP2BP−2.898574.30×10−383.62×10−36
SORBS1−2.895821.00×10−242.69×10−23
LMO7−2.895417.26×10−417.17×10−39
CXorf36−2.891293.14×10−341.95×10−32
GIMAP7−2.889634.23×10−241.07×10−22
SOD3−2.883852.37×10−224.92×10−21
PTPRN2−2.876592.90×10−236.63×10−22
SMAD6−2.875329.07×10−283.22×10−26
C1QTNF2−2.873138.71×10−242.13×10−22
ICAM2−2.861595.21×10−281.89×10−26
LEPR−2.860254.70×10−281.71×10−26
GRASP−2.854831.69×10−244.44×10−23
RPS6KA2−2.852671.53×10−296.34×10−28
LOC100302650−2.844937.06×10−241.74×10−22
MMRN2−2.844493.59×10−332.06×10−31
PEAR1−2.843133.78×10−271.29×10−25
RAI2−2.829675.25×10−231.17×10−21
DRAM1−2.826451.43×10−316.92×10−30
LRRC32−2.822621.25×10−274.38×10−26
C5AR1−2.822132.59×10−257.43×10−24
BCL6B−2.812412.95×10−341.84×10−32
GIMAP5−2.801631.61×10−223.41×10−21
MFSD2A−2.798675.38×10−251.48×10−23
MGLL−2.795411.06×10−222.30×10−21
GLIPR2−2.794765.14×10−332.90×10−31
SGMS2−2.788966.74×10−272.23×10−25
IL3RA−2.787792.77×10−301.23×10−28
TRPV2−2.785912.16×10−288.16×10−27
CD34−2.781221.13×10−347.21×10−33
ARHGAP29−2.778414.50×10−229.16×10−21
F8−2.773658.66×10−397.70×10−37
CYYR1−2.769861.26×10−284.89×10−27
PTPRM−2.766793.67×10−271.25×10−25
PDE1B−2.76197.76×10−231.71×10−21
DAPK2−2.755683.00×10−258.51×10−24
ACE−2.754644.75×10−291.92×10−27
EMP2−2.745118.21×10−355.35×10−33
KIF17−2.741772.03×10−266.37×10−25
KDR−2.736061.11×10−263.57×10−25
CCDC69−2.731417.48×10−252.03×10−23
ERG−2.727451.46×10−327.93×10−31
SPNS2−2.704124.34×10−241×10×10−22
FLVCR2−2.700558.12×10−241.99×10−22
P2RY14−2.69986.86×10−231.51×10−21
AHCYL2−2.696861.81×10−381.57×10−36
MFNG−2.683549.22×10−273.00×10−25
PTPN21−2.683485.92×10−353.89×10−33
GRK5−2.681081.62×10−361.23×10−34
NR5A2−2.662467.92×10−272.60×10−25
STARD13−2.661462.58×10−257.41×10−24
S100A4−2.660434.73×10−271.60×10−25
GADD45B−2.65076.50×10−292.59×10−27
FLI1−2.6491.47×10−264.66×10−25
CD97−2.647559.65×10−304.08×10−28
TENC1−2.641612.57×10−372.04×10−35
FLT4−2.628288.35×10−262.52×10−24
SELPLG−2.627331.54×10−223.27×10−21
NOTCH4−2.619654.93×10−291.99×10−27
RASL12−2.614741.82×10−265.72×10−25
FZD4−2.611257.71×10−344.59×10−32
SPI1−2.610053.72×10−227.63×10−21
CD55−2.598337.24×10−303.08×10−28
ZFP36−2.597471.90×10−234.45×10−22
DENND3−2.586692.34×10−278.09×10−26
KANK2−2.585185.25×10−384.33×10−36
CABLES1−2.58021.06×10−222.30×10−21
SCARF1−2.573143.55×10−342.18×10−32
ENG−2.555952.48×10−321.32×10−30
RNASE4−2.53754.20×10−281.54×10−26
CYBRD1−2.529394.89×10−271.65×10−25
GMFG−2.526433.54×10−227.28×10−21
ATP11A−2.524042.30×10−321.23×10−30
CITED2−2.519514.01×10−281.48×10−26
TSPAN4−2.48851.28×10−253.82×10−24
ZMYND15−2.487559.02×10−231.96×10−21
TNFSF13−2.484152.62×10−341.64×10−32
CALCRL−2.467263.28×10−248.39×10−23
GJA4−2.464044.81×10−231.08×10−21
AK1−2.450491.71×10−411.76×10−39
TMEM204−2.449781.01×10−242.70×10−23
DOCK4−2.422479.56×10−293.74×10−27
CYB5A−2.397847.48×10−272.46×10−25
SLC9A3R2−2.35763.71×10−301.62×10−28
LMO2−2.353634.94×10−231×10×10−21
ACP5−2.343841.18×10−222.54×10−21
4-Sep−2.334033.49×10−237.92×10−22
ALDH2−2.333251.00×10−263.25×10−25
TMEM220−2.31184.31×10−251.20×10−23
ELTD1−2.309697.03×10−241.73×10−22
DISP1−2.308039.17×10−283.25×10−26
CD101−2.304612.53×10−246.55×10−23
SPRY4−2.29061.74×10−255.09×10−24
RECK−2.287896.98×10−241.73×10−22
HECW2−2.281441.90×10−255.54×10−24
SULT1A1−2.278853.82×10−238.66×10−22
APOLD1−2.278382.83×10−258.05×10−24
ADARB1−2.27671.07×10−232.57×10−22
SH3BP5−2.271265.27×10−251.45×10−23
ACACB−2.256861.59×10−233.77×10−22
KLF9−2.255921.00×10−222.18×10−21
SNX30−2.233153.35×10−382.83×10−36
SNX25−2.231637.67×10−449.21×10−42
MITF−2.227536.91×10−241.71×10−22
PDLIM2−2.199741.38×10−306.25×10−29
EXOC3L−2.198961.49×10−306.71×10−29
DLL4−2.198652.42×10−246.26×10−23
LHFP−2.187966.97×10−272.30×10−25
TNFSF12−2.187165.01×10−271.68×10−25
AFAP1L1−2.175871.60×10−233.79×10−22
CAT−2.174561.85×10−351.27×10−33
KCNAB1−2.173121.26×10−222.69×10−21
SASH1−2.168352.02×10−234.72×10−22
ARHGAP18−2.160432.44×10−267.57×10−25
UNC13B−2.156582×10×10−266.60×10−25
CD83−2.136212.53×10−235.81×10−22
MOSC2−2.13613.39×10−261.04×10−24
GPD1L−2.133285.33×10−281.93×10−26
SECISBP2L−2.128671.67×10−431.91×10−41
RBMS2−2.128454.40×10−301.91×10−28
RBPMS−2.119092.70×10−236.18×10−22
PRKCE−2.111874.55×10−342.76×10−32
FAM167B−2.09079.79×10−283.46×10−26
GPR4−2.086242.52×10−257.27×10−24
KLF6−2.080312.59×10−246.69×10−23
UTRN−2.06922.20×10−266.90×10−25
TPK1−2.066241.39×10−222.97×10−21
WFS1−2.060682.74×10−331.60×10−31
TM6SF1−2.042184.99×10−261.52×10−24
ADPRH−2.040994.49×10−231.01×10−21
CISH−2.039884×10×10−251.15×10−23
SPTBN1−2.0313.11×10−362.30×10−34
ASAH1−2.025665.74×10−333.23×10−31
MAGI3−2.020678.57×10−262.57×10−24
EPB41L5−2.018281.89×10−351.29×10−33
LRRC70−2.010533.29×10−248.40×10−23
CXCL16−1.989295.62×10−271.87×10−25
SGK269−1.973126.78×10−272.24×10−25
PHACTR2−1.958531.36×10−306.16×10−29
HSD17B11−1.933313.97×10−281.46×10−26
RILP−1.91558.40×10−272.75×10−25
ITPR1−1.89691.68×10−233.95×10−22
NPC2−1.891681.58×10−233.73×10−22
RAPGEF2−1.855028.16×10−303.46×10−28
WWC1−1.832246.80×10−241.69×10−22
CFL2−1.829028.54×10−262.57×10−24
CBX7−1.816882.70×10−236.19×10−22
BTBD9−1.809595.96×10−251.63×10−23
MBIP−1.801562.08×10−256.04×10−24
HPCAL1−1.796018.56×10−283.04×10−26
KAT2B−1.79583.09×10−258.75×10−24
RASSF3−1.793961.08×10−242.88×10−23
FCGRT−1.792271.95×10−255.67×10−24
IFT57−1.780874.31×10−271.46×10−25
HYAL2−1.779691.90×10−411.92×10−39
LTA4H−1.776064.98×10−404.78×10−38
RAB27A−1.761351.64×10−244.33×10−23
LIMD1−1.752019.09×10−366.41×10−34
ADCY9−1.735653.69×10−227.56×10−21
ST6GALNAC6−1.731175.05×10−384.20×10−36
PXMP4−1.719151.71×10−223.62×10−21
LATS2−1.715341.42×10−223.04×10−21
SLC27A3−1.713571.64×10−296.79×10−28
C7orf23−1.704141.95×10−287.40×10−27
CRY2−1.701131.86×10−329.96×10−31
CASKIN2−1.700481.08×10−232.59×10−22
UBL3−1.69653.62×10−291.47×10−27
AKAP13−1.694731.71×10−234.02×10−22
PLEKHO2−1.694333.80×10−238.63×10−22
PNPLA6−1.67398.43×10−324.20×10−30
SNRK−1.658451.25×10−451.71×10−43
DOK4−1.635991.49×10−233.54×10−22
RARA−1.63464.72×10−281.72×10−26
CALCOCO1−1.633213.91×10−271.33×10−25
PHF17−1.627381.07×10−253.21×10−24
VAMP2−1.613366.49×10−323.31×10−30
C5orf53−1.605316.50×10−231.44×10−21
ARRB2−1.587053.24×10−291.32×10−27
C5orf32−1.584499.32×10−283.30×10−26
ZBTB47−1.576212.28×10−224.74×10−21
GNAQ−1.571876.00×10−323.06×10−30
SIDT2−1.565524.55×10−261.39×10−24
FYCO1−1.535675.63×10−241.41×10−22
SLC35A1−1.527422.71×10−257.74×10−24
TAPT1−1.508325.45×10−322.80×10−30
C1orf198−1.502734.62×10−322.40×10−30
KIF1C−1.499673.00×10−236.85×10−22
MAP3K3−1.492871.47×10−285.66×10−27
SH3D19−1.488811.09×10−232.61×10−22
CARD8−1.484711.78×10−223.75×10−21
ARHGEF3−1.482224.88×10−251.35×10−23
QSOX1−1.470362.94×10−226.06×10−21
RILPL2−1.419771.58×10−244.17×10−23
RAB8B−1.419175.62×10−231.25×10−21
BTD−1.418712.49×10−225.16×10−21
C10orf32−1.411468.63×10−231.89×10−21
PPM1M−1.409251.13×10−222.43×10−21
HSD17B4−1.390294.87×10−363.53×10−34
FAM82A2−1.330977.42×10−334.09×10−31
ZFP106−1.329142.03×10−224.25×10−21
STX12−1.319414.61×10−312.16×10−29
C12orf49−1.300116.32×10−292.53×10−27
BMPR2−1.298164.05×10−228.29×10−21
SERINC1−1.290463.43×10−321.80×10−30
GANC−1.280851.48×10−223.15×10−21
SDCBP−1.270781.95×10−224×10×10−21
GNAI2−1.234952.09×10−266.55×10−25
CD81−1.215896.65×10−262.01×10−24
INPP5K−1.147012.93×10−281×10×10−26
COL4A3BP−1.144321.75×10−265.50×10−25
SEC22C−1.138981.14×10−263.68×10−25
SNX2−1.023679.40×10−252.53×10−23
SACM1L−1.005164.74×10−241.20×10−22
ZFYVE20−0.938227.39×10−241.82×10−22
RHOA−0.930415.87×10−241.47×10−22
GORASP1−0.883786.42×10−251.75×10−23

FC – fold change; FDR – false discovery rate; lung SCC – lung squamous cell carcinoma.

Supplementary Table 2

The top 10 transcription factors regulated DEGs in lung SCC.

TFsLog2FCUp/downConnectivityGenes
NFIC−0.9414Down83FGFR4, FCGRT, CHAF1A, HSD17B4, TMEM69, PLK1, ROBO4, CBLC, GPR116, NAA50, ARHGAP6, MCM6, DTYMK, PTPRM, RPS6KA2, CHRNA5, CYYR1, WDR62, ASF1B, GNGT1, TFB2M, GSTM5, ANLN, FLAD1, DNAJB11, MUSTN1, C10orf32, LRRC36, ECT2, PPP1R14B, ALDH2, CRY2, ARC, RNASE4, KRT74, FOXE1, BRCA1, SOX17, C5AR1, FKBP4, POC1A, C1orf162, RNASE1, SLC7A5, FAM72A, CBX7, PGM5, PCDH12, SSX2IP, TM6SF1, PALM2-AKAP2, ACOXL, PITX2, PSAT1, FZD4, DSP, UTRN, KIF22, CENPE, TMEM189, FAM72D, TMEM132A, TERT, DLX6, KIF1C, STX12, GORASP1, ATAD5, TK1, LRRK2, GGCT, KIF11, LMNB1, SLC25A10, ZC3H8, TRPV2, POLR2H, CALCRL, MMRN1, CD34, MMP11, CDC25A, RAB8B
BRCA12.0335Up82LIMD1, CELF2, ACACB, CD302, DUSP9, PPAP2C, GORASP1, LAMP3, MCM4, GYLTL1B, FLAD1, TNS4, HSD17B4, STRA6, FAM83D, DAPK2, MARCO, EFNA4, PDE1B, PSRC1, COL4A3, ASAH1, TIMM8A, ERCC6L, CBLC, SORBS1, HOPX, CCDC58, CLEC14A, PLEKHO2, BTBD9, PALB2, KIF4A, SSX2IP, SPOCK2, EDNRB, ADAMTSL4, PTH1R, GGCT, UBE2T, HELLS, ABCC6, ADCY9, NEK2, PHACTR1, TPK1, TROAP, ABCA12, TMPRSS11F, CENPK, PRPF19, ATP11A, TOP2A, SNRPA1, SUV39H2, DSP, SACM1L, HDAC2, ELTD1, TPX2, B4GALNT4, TNXB, GCOM1, PID1, HBB, MYO19, AATK, NLRC4, BLM, SH3BP5, GIMAP6, GLIPR2, GNAQ, MELK, MND1, SKA3, ADAMTS8, RPS6KA2, CHAF1A, ITGA10, CALCOCO1
NFATC2−2.5949Down75IGSF9, SH3BP5, KRT16, PTHLH, PTPN21, CARD8, PSMD12, MELK, GPIHBP1, RAD51AP2, DUSP1, TSPAN12, PKMYT1, PSMC3IP, KANK2, ALDH3B1, ARTN, MYO19, NUDT1, PLAC9, HOXD13, FANCI, AKAP13, KIAA1524, KIF20A, DTYMK, DEPDC1B, VEPH1, PDE1B, NMU, MRPL47, STIL, ASPM, UBE2T, FEN1, SASH1, BIRC5, PLEKHO2, LRRN3, DSCC1, PXMP4, CASS4, MMP12, MARCO, E2F1, FAM162B, SULT1A1, PCDH12, FBLN5, TRAF7, PNPLA6, KIAA0101, FILIP1, DOK2, FAM72B, CBLC, B3GNT4, TPBG, WWC2, C1orf162, KRT17, KIF18B, RASAL1, C20orf202, PRKCE, CCNB2, ABCA9, ADAMTS8, GAL, LAMP3, RHOA, ADARB1, SCUBE1, NCAPG, TCF19
NR4A2−2.4142Down64NOVA2, FAM105A, PTPRB, SASS6, GPR4, ARHGAP29, RSRC1, DQX1, SCUBE1, MRPL47, ALDH3B1, PDE2A, POLQ, ALDH2, APOBEC3B, SLC46A2, FRY, E2F2, PITX2, GINS3, C10orf2, CENPL, RAI2, ACP5, CDC25C, SSX2IP, NCAPG2, ATAD2, YWHAZ, E2F7, IRF6, SRD5A1, MCM2, DENND3, NAA50, POC1A, EDNRB, TFAP2A, CDCA8, CCNB2, B3GALNT2, KIF11, CBLC, TMEM100, GIMAP8, CDC25A, COX4I2, CDH5, MELK, FAM131C, TMPRSS11F, PREX2, TPK1, PLEKHG6, GPR87, CSTF2, UHRF1, KIAA1462, KANK3, ADPRH, PGM5, MCM6, CCDC69, MITF
EGR1−2.1270Down45CLEC3B, SHOX2, EPB41L5, C1QTNF7, PRIM2, SUV39H2, RSRC1, VEPH1, HYAL2, TRIM29, ACACB, TPBG, TMEM79, DOK2, PTPRM, GUCA1A, CX3CR1, SPOCK2, BCL6B, CDCA5, FAM83B, CABLES1, FANCI, TNXB, RIMS2, GRHL1, GPR133, DLL4, WWC1, ENG, UHRF1, ABI3BP, UTRN, PNPLA6, SNRK, ST6GALNAC6, SEMA3B, MEX3A, PDE2A, FAM13C, RASL12, SLC2A1, TMEM132A, ATP11A, WFS1
ELF5−2.5991Down43ESPL1, RBPMS, GABRA3, DEPDC1B, C1orf112, GJB3, VIPR1, RAB27A, UBL3, FBXO45, MUSTN1, SH3D19, ZIC5, PALM2-AKAP2, KLF9, LIMD1, NUSAP1, GNAI2, DRAM1, AFAP1L1, BTBD9, SLC16A1, DSC3, NR5A2, RHOJ, SH2D3C, HSPB6, PID1, FLI1, RXFP2, ADCY9, SORBS1, PRKCE, DCAF13, TP63, RHOA, FARSB, CCT3, SYT15, CALCRL, ABI3BP, PRIM2, WDR62
HOXA5−2.0075Down43CENPF, CACNA2D2, NOL10, CCDC34, MELK, PAFAH1B3, ADCY9, RECK, CENPH, FAM105A, SHROOM4, LEPR, GRK5, UNC13B, SRPK1, HDAC1, SGOL1, MYCT1, MARCO, NPR1, SLC1A1, EPAS1, MITF, C12orf49, CYYR1, ATAD2, CCDC58, FANCD2, GPD1L, MCM8, DENND3, ESRP1, MTL5, LMNB2, RRM2, SCUBE1, HOXA10, S1PR1, LTA4H, CDC45, HDAC2, RAB27A, AFAP1L1
FOXD13.7626Up42SGOL1, TNFSF12, MS4A15, ESCO2, GORASP1, CYB5A, EPAS1, FANCE, GPR116, LRRN3, RAD51AP1, ROBO4, PSMD12, KCNAB1, MTIF2, MBIP, CCDC34, HSD17B11, CABLES1, GRHL2, ELTD1, SHOX2, CAV1, KRTAP4-1, UHRF1, GPRIN1, GPD1L, DSG3, NEK2, YWHAZ, PEAR1, SNX2, COL4A3BP, CDC6, ARHGAP31, CENPO, CLSPN, KIF23, DSC3, SLC7A5, RPS6KA2, ADARB1
ZEB1−1.8558Down40TNS4, CDC45, NMU, IQGAP3, ACSM2A, TNXB, MYO19, C12orf56, UNG, ARHGAP18, CFD, CENPF, SPTBN2, AATK, CASC5, PECAM1, FLVCR2, NR4A1, SUSD2, PALB2, DNAJB11, FAM83F, TNFSF12, SPATS2, RIMS2, SPNS2, PRAME, TNFSF13, MRPL3, MYCT1, HN1L, RAI2, DCUN1D5, SNX30, KIF15, FGFR4, DTL, FOXE1, MARCO, ANLN
KLF51.1064Up34EZH2, MMP11, FLT4, FGR, MFNG, SNX2, JAM2, BOP1, CSRNP1, ZWILCH, LMNB2, PXMP4, ESPN, DUSP9, UHRF1, ADAMTSL4, LIMD1, CABLES1, DCAF13, CD97, TRAP1, PRX, UNG, KIF23, CDT1, GPRIN1, GMPS, MAP3K3, RASAL1, FGF11, ARHGAP29, RILPL2, E2F1, TSPAN4

TFs – transcription factors; FC – fold change; lung SCC – lung squamous cell carcinoma.

  35 in total

1.  FDR control by the BH procedure for two-sided correlated tests with implications to gene expression data analysis.

Authors:  Anat Reiner-Benaim
Journal:  Biom J       Date:  2007-02       Impact factor: 2.207

2.  Pathways enrichment analysis for differentially expressed genes in squamous lung cancer.

Authors:  Liqiang Qian; Qingquan Luo; Xiaojing Zhao; Jia Huang
Journal:  Pathol Oncol Res       Date:  2013-10-10       Impact factor: 3.201

Review 3.  Pathology of lung cancer.

Authors:  William D Travis
Journal:  Clin Chest Med       Date:  2011-12       Impact factor: 2.878

4.  Epidermal growth factor receptor exon 20 insertions in advanced lung adenocarcinomas: Clinical outcomes and response to erlotinib.

Authors:  M E Arcila; H A Yu; J Naidoo; C S Sima; K Rodriguez; N Busby; K Nafa; M Ladanyi; G J Riely; M G Kris
Journal:  Cancer       Date:  2015-06-10       Impact factor: 6.860

5.  Phase III study comparing cisplatin plus gemcitabine with cisplatin plus pemetrexed in chemotherapy-naive patients with advanced-stage non-small-cell lung cancer.

Authors:  Giorgio Vittorio Scagliotti; Purvish Parikh; Joachim von Pawel; Bonne Biesma; Johan Vansteenkiste; Christian Manegold; Piotr Serwatowski; Ulrich Gatzemeier; Raghunadharao Digumarti; Mauro Zukin; Jin S Lee; Anders Mellemgaard; Keunchil Park; Shehkar Patil; Janusz Rolski; Tuncay Goksel; Filippo de Marinis; Lorinda Simms; Katherine P Sugarman; David Gandara
Journal:  J Clin Oncol       Date:  2008-05-27       Impact factor: 44.544

6.  Prognostic value of ERCC1, RRM1, BRCA1 and SETDB1 in early stage of non-small cell lung cancer.

Authors:  A Lafuente-Sanchis; Á Zúñiga; J M Galbis; A Cremades; M Estors; N J Martínez-Hernández; J Carretero
Journal:  Clin Transl Oncol       Date:  2015-11-05       Impact factor: 3.405

7.  Reduced Expression of Hugl 1 Contributes to the Progression of Lung Squamous Cell Carcinoma.

Authors:  Tomohiko Matsuzaki; Susumu Takekoshi; Kentaro Toriumi; Kanae Kitatani; Madoka Nitou; Naoko Imamura; Go Ogura; Ryota Masuda; Naoya Nakamura; Masayuki Iwazaki
Journal:  Tokai J Exp Clin Med       Date:  2015-12-20

8.  USP7 overexpression predicts a poor prognosis in lung squamous cell carcinoma and large cell carcinoma.

Authors:  Guang-Yin Zhao; Zong-Wu Lin; Chun-Lai Lu; Jie Gu; Yun-Feng Yuan; Feng-Kai Xu; Rong-Hua Liu; Di Ge; Jian-Yong Ding
Journal:  Tumour Biol       Date:  2014-12-18

9.  Depleting NFAT1 expression inhibits the ability of invasion and migration of human lung cancer cells.

Authors:  Ji-Fu Liu; Shou-Hua Zhao; Shan-Shan Wu
Journal:  Cancer Cell Int       Date:  2013-05-12       Impact factor: 5.722

10.  Tumor-suppressive microRNA-29 family inhibits cancer cell migration and invasion directly targeting LOXL2 in lung squamous cell carcinoma.

Authors:  Keiko Mizuno; Naohiko Seki; Hiroko Mataki; Ryosuke Matsushita; Kazuto Kamikawaji; Tomohiro Kumamoto; Koichi Takagi; Yusuke Goto; Rika Nishikawa; Mayuko Kato; Hideki Enokida; Masayuki Nakagawa; Hiromasa Inoue
Journal:  Int J Oncol       Date:  2015-12-14       Impact factor: 5.650

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  11 in total

1.  Microarray expression profiling and bioinformatics analysis of circular RNA expression in lung squamous cell carcinoma.

Authors:  Jiali Xu; Yongqian Shu; Tongpeng Xu; Wei Zhu; Tianzhu Qiu; Jun Li; Meiling Zhang; Jing Xu; Renhua Guo; Kaihua Lu; Lingjun Zhu; Yongmei Yin; Yanhong Gu; Lianke Liu; Ping Liu; Rong Wang
Journal:  Am J Transl Res       Date:  2018-03-15       Impact factor: 4.060

2.  Cathepsin K Knockout Exacerbates Haemorrhagic Transformation Induced by Recombinant Tissue Plasminogen Activator After Focal Cerebral Ischaemia in Mice.

Authors:  Rong Zhao; Xin-Wei He; Yan-Hui Shi; Yi-Sheng Liu; Feng-Di Liu; Yue Hu; Mei-Ting Zhuang; Xiao-Yan Feng; Lei Zhao; Bing-Qiao Zhao; Hui-Qin Liu; Guo-Ping Shi; Jian-Ren Liu
Journal:  Cell Mol Neurobiol       Date:  2019-05-07       Impact factor: 5.046

3.  Mechanical instability generated by Myosin 19 contributes to mitochondria cristae architecture and OXPHOS.

Authors:  Peng Shi; Xiaoyu Ren; Jie Meng; Chenlu Kang; Yihe Wu; Yingxue Rong; Shujuan Zhao; Zhaodi Jiang; Ling Liang; Wanzhong He; Yuxin Yin; Xiangdong Li; Yong Liu; Xiaoshuai Huang; Yujie Sun; Bo Li; Congying Wu
Journal:  Nat Commun       Date:  2022-05-13       Impact factor: 17.694

4.  Expression profiling revealed keratins and interleukins as potential biomarkers in squamous cell carcinoma of horn in Indian bullocks (Bos indicus).

Authors:  Ketankumar Panchal; Prakash Koringa; Pritesh Sabara; Dhruv Bhatia; Subhash Jakhesara; Chaitanya Joshi
Journal:  3 Biotech       Date:  2020-02-05       Impact factor: 2.406

5.  Differential protein-coding gene and long noncoding RNA expression in smoking-related lung squamous cell carcinoma.

Authors:  Shicheng Li; Xiao Sun; Shuncheng Miao; Jia Liu; Wenjie Jiao
Journal:  Thorac Cancer       Date:  2017-09-26       Impact factor: 3.500

6.  miR-339-5p Increases Radiosensitivity of Lung Cancer Cells by Targeting Phosphatases of Regenerating Liver-1 (PRL-1).

Authors:  Jia Wang; Mawei Jiang; Shian Xia
Journal:  Med Sci Monit       Date:  2018-11-21

7.  Differentially Expressed Genes Associated With Prognosis in Locally Advanced Lymph Node-Negative Prostate Cancer.

Authors:  Elena A Pudova; Elena N Lukyanova; Kirill M Nyushko; Dmitry S Mikhaylenko; Andrew R Zaretsky; Anastasiya V Snezhkina; Maria V Savvateeva; Anastasiya A Kobelyatskaya; Nataliya V Melnikova; Nadezhda N Volchenko; Gennady D Efremov; Kseniya M Klimina; Anastasiya A Belova; Marina V Kiseleva; Andrey D Kaprin; Boris Y Alekseev; George S Krasnov; Anna V Kudryavtseva
Journal:  Front Genet       Date:  2019-08-09       Impact factor: 4.599

Review 8.  Multimerin-1 and cancer: a review.

Authors:  Mareike G Posner
Journal:  Biosci Rep       Date:  2022-02-25       Impact factor: 3.840

9.  Expression and Comparison of Cbl-b in Lung Squamous Cell Carcinoma and Adenocarcinoma.

Authors:  Peng Li; Hongliang Liu; Zhiqiang Zhang; Xiaodong Lv; Huijuan Wang; Jie Ma; Zhiyong Ma; Xiujuan Qu; Yue-E Teng
Journal:  Med Sci Monit       Date:  2018-01-31

10.  Correlations Between mRNA Levels of Centrosomal Protein 55 (CEP55) and Clinical Features of Patients with Lung Cancer.

Authors:  Xue-Ping Ma; Wenping Zhang; Bu-Qiang Wu; Jun Qin
Journal:  Med Sci Monit       Date:  2018-05-11
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