Literature DB >> 35096568

Knockdown of NAA25 Suppresses Breast Cancer Progression by Regulating Apoptosis and Cell Cycle.

Jingkai Xu1, Zhi Li2, Xianbo Zuo1, Guozheng Li3,4, Xuejun Zhang5, Bo Zhang3,4, Yong Cui1.   

Abstract

NAA25 gene variants were reported as risk factors for type 1 diabetes, rheumatoid arthritis and acute arterial stroke. But it's unknown whether it could contribute to breast cancer. We identified rs11066150 in lncHSAT164, which contributes to breast cancer, in our earlier genome-wide long non-coding RNA association study on Han Chinese women. However, rs11066150 A/G variant is also located in NAA25 intron. Based on the public database, such as TCGA and Curtis dataset, NAA25 gene is highly expressed in breast cancer tissues and this result has also been proved in our samples and cell lines through RT-qPCR and western blot analysis. To better understand the function of NAA25 in breast cancer, we knocked down the expression of NAA25 in breast cancer cell lines, FACS was used to detect cell apoptosis and cell cycle and colony formation assay was used to detect cell proliferation. We found that NAA25-deficient cells could increase cell apoptosis, delay G2/M phase cell and decrease cell clone formation. RNA sequencing was then applied to analyze the molecular profiles of NAA25-deficient cells, and compared to the control group, NAA25 knockdown could activate apoptosis-related pathways, reduce the activation of tumor-associated signaling pathways and decrease immune response-associated pathways. Additionally, RT-qPCR was employed to validate these results. Taken together, our results revealed that NAA25 was highly expressed in breast cancer, and NAA25 knockdown might serve as a therapeutic target in breast cancer.
Copyright © 2022 Xu, Li, Zuo, Li, Zhang, Zhang and Cui.

Entities:  

Keywords:  NAA25; RNA sequencing; apoptosis; breast cancer; cell cycle

Year:  2022        PMID: 35096568      PMCID: PMC8792228          DOI: 10.3389/fonc.2021.755267

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


Introduction

Breast cancer is the most common and a leading cause of cancer-related deaths of women worldwide (1). And China is undergoing the cancer transition stage, with the occurrence of female breast cancer increasing rapidly (2, 3). With the development of sequencing technologies, a lot of breast cancer associated genes have been validated (4, 5). Our previous case-control genome wide lncRNA association study on Han Chinese women identified that SNP rs11066150 was associated with breast cancer and lncHSAT164 gene could contribute to breast cancer (6). And rs11066150 A/G was an intron variant in N-alpha-acetyltransferase 25 (NAA25) gene (also known as MDM20, C12orf30 and NAP1). NAA25 gene variants were reported to be associated with type 1 diabetes (T1D), rheumatoid arthritis, acute arterial stroke and dyslipidemia (7–10). However, the relationship between NAA25 and breast cancer is still unknown. NAA25 encodes the auxiliary subunit, which could then affect posttranslational modifications by forming N-terminal acetyltransferase B complex with catalytic subunit NAA20 (11). In yeast, it can regulate actin remodeling, and stabilize actin cytoskeleton and mitochondrial targeting (12, 13). And NAA25 knockdown can disrupt cell cycle and reduce cell growth (14). However, the physiological function and mechanism of NAA25 in breast cancer remain unknown. To explore the relationship between NAA25 gene and breast cancer, we compared NAA25 gene expression between normal tissues and breast cancer tissues in public databases, such as TCGA and Curtis dataset, and analyzed the relationship between NAA25 gene expression and overall survival (OS) of patients. In addition, we tested NAA25 gene expression in breast cancer tissues, para-carcinoma tissues, breast cancer cell lines and normal breast epithelial cell lines. Furthermore, we specifically knocked down NAA25 gene expression in breast cancer cells and explored its influence on tumor cell proliferation, apoptosis and cell cycle. Finally, RNA-seq analysis was used to clarify the molecular profiles of NAA25-deficient cells.

Materials and Methods

Subjects

In this study, four-pairs of breast cancer tissues and para-carcinoma tissues (all from Han Chinese women) were collected at the No.2 Hospital, Anhui Medical University. All cases were diagnosed with breast cancer by at least two pathologists. Para-carcinoma specimens were adipose/skin tissues, which were collected from breast cancer patients who underwent radical mastectomy. All tissue samples were stored in liquid nitrogen immediately after surgical resection. The information of breast cancer patients was provided in .

Cell Culture

MCF10A, MCF7, T47D, and HEK293T cell lines were purchased from the Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences. MCF10A, a kind of normal human breast epithelial cell, was grown in DMEM/F12 (Gibco, Life, China) medium supplemented with 10% fetal bovine serum (FBS) (Gibco, Australia), 10 µg/ml insulin (Macklin, China), 20 ng/ml EGF (Peprotech, China), and 0.5 µg/ml hydrocortisone (Macklin, China). MCF7 and HEK293T cells were maintained in DMEM (Gibco, Life, USA) supplemented with 10% FBS (Gibco, Australia). T47D cells were maintained in RPMI-1640 medium (Gibco, Life, USA) supplemented with 10% FBS (Gibco, Australia). All medium were supplemented with 100 U/ml penicillin–streptomycin (Gibco, Life, China), and all cells were maintained at 37°C in a humidified atmosphere containing 5% CO2 and confirmed to be mycoplasma free.

RNA Extraction and RT-qPCR Analysis

The total RNA from the cell lines, human breast cancer tissues and para-cancerous tissues used in this study was extracted with TRIzol reagent, and DNase I (Thermo Fisher, USA) was used to remove genomic DNA. First-strand cDNA was synthesized by using the SuperScript III Reverse Transcriptase Kit (Thermo Fisher, USA). Relative RNA levels determined by RT-qPCR were measured on a Rotor-Gene Q real-time PCR machine (Qiagen, Germany). GAPDH was employed as an internal control. The relative expression of RNAs was calculated using the 2−ΔΔCt method. All primer sequences for RT-qPCR are listed in .

Plasmid Construction, Transfection and Lentivirus Infection

Short hairpin RNAs (shRNAs) against NAA25 sh1 and sh2 were designed and synthesized by Taihe Biotechnology (Beijing, China) and cloned into the EGFP-Puro-pll3.7 plasmid. Based on the PSPAX2-PMD2G lentiviral system, a lentivirus was constructed according to the manufacturer’s instructions. After lentivirus infection, 1 µg/ml puromycin (In vivoGen, USA) was added for selection, and 48-72 hours later, the cells were harvested for further experiments. shRNA sequences are listed in .

Western Blot Analysis

Tissues and cells were lysed in RIPA buffer (Beyotime, China). 40 μg of protein was used for SDS-PAGE gel electrophoresis (Bio-Rad) and transferred onto PVDF membranes (Millipore, China). Blocking was performed with 5% milk, and then the membranes were incubated with primary antibodies. Anti-NAA25 (1:1, 000 HPA039322, Sigma-Aldrich) or anti-actin (1:5000, A1978, Sigma-Aldrich) was added and incubated overnight at 4°C. After being washed, the membranes were incubated with secondary antibodies (peroxidase conjugated, suitable for each primary antibody) for 2 hours at room temperature. The signal was detected with a Bio-Rad ChemiDoc XRS + System after adding Super Signal West Pico chemiluminescence.

Colony Formation Assay

To analyze cell growth, colony formation assays were performed. 1×103 cells of T47D- and MCF7- Ctr, -sh1, -sh2 were seeded in a 6-well plate and incubated for 10 to 15 days at 37°C. Then, the cells were washed twice in PBS, fixed with 90% ethanol for 15 minutes and stained with 0.1% crystal violet for 20 minutes. Images of colonies were taken with a digital camera, and the number of colonies was analyzed by ImageJ v1.8.0 software.

Apoptosis Assay

For apoptosis analysis, target cells were transferred to a 15 ml centrifuge tube, and annexin V binding buffer was added. After being centrifugated at 1,000 rpm for 5 min at 4°C, the cells were washed 3 times in PBS. Then, the cells were treated with 100 μl of binding buffer, 5 μl of Annexin V-APC and 1 μl of 100 μg/ml propidium iodide (PI) stain (Thermo Fisher, USA), and incubated in the dark for 25 min. Cell apoptosis was analyzed by flow cytometry (BD Biosciences).

Cell Cycle Assay

For cell cycle analysis, target cells were fixed with 75% ice-cold ethanol at 4°C overnight. Then, the cells were suspended in PBS supplemented with 100 mg/ml RNase A for 30 min at 37°C and then stained with 50 µg/ml PI (Thermo Fisher, USA) in the dark at room temperature for 15 min. Finally, a total of 20,000 cells were analyzed on a FACS Calibur flow cytometer equipped with Cell Quest software (BD Biosciences).

RNA-Seq Analysis

After NAA25 knockdown in T47D cells, cells from the Ctr, sh1 and sh2 groups were harvested for RNA-seq analysis at Shanghai Majorbio Biopharm Technology Co. mRNAs were isolated from total RNA with the oligo (dT) method. The mRNAs were fragmented, and then first-strand cDNA and second-strand cDNA were synthesized. After being purified, cDNA fragments were linked to adapters. Then, cDNA fragments of suitable size were selected for PCR amplification. The sequencing platform used in this study was Illumina HiSeq, and the paired-end reads were 2×150 bp. TPM (Transcripts Per Million reads) was used to evaluate genes expression, transcript abundance was assessed with the DESeq2, and the significantly affected genes were determined by setting a fold change of ≥ 2. The differentially expressed gene (DEG), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, gene ontology (GO), GO term and gene set enrichment analysis (GSEA) described in this paper were performed on the free online platform Majorbio Cloud Platform (www.majorbio.com).

Statistical Analysis

All statistical analyses were performed using Graphpad Prism 8.0 statistical software (California, US). Experiment data are shown as the means ± SEM, and all experiments were conducted for at least three times. Significance was determined using the Student’s t-test: N.S. p > 0.05; ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001 and ∗∗∗∗p < 0.0001.

Results

rs11066150 Associated Gene NAA25 Highly Expressed in Breast Cancer

rs11066150 was reported in lncHSAT164 (6), and it is also located within the fifth intron of NAA25 gene ( ). Based on the eQTLGen database (https://www.eqtlgen.org/), we identified 4 cis-eQTL effects genes, TMEM116, HECTD4, MAPKAPK5 and NAA25, to be associated with rs11066150 ( ). And TMEM116, HECTD4, MAPKAPK5 was reported to be associated with renal cell carcinoma, prostate cancer and colorectal cancer (15–17). However, NAA25 gene has never been reported to be associated with cancers.
Figure 1

Characterization of NAA25 gene in breast cancer. (A) rs11066150 variant schematic diagram in lncHSAT164 and NAA25. (B, C) NAA25 gene was highly expressed in breast cancer tissues compared to the controls in TCGA dataset and Curtis dataset. (D) OS analysis of patients with high and low NAA25 expression. The p value was calculated using Mann-Whitney U tests. (E) Western-blot and RT-qPCR to analyze NAA25 expression in breast cancer tissues and para-carcinoma tissues, NAA25 was highly expressed in breast cancer tissues. The two bands are all NAA25. *p < 0.05.

Characterization of NAA25 gene in breast cancer. (A) rs11066150 variant schematic diagram in lncHSAT164 and NAA25. (B, C) NAA25 gene was highly expressed in breast cancer tissues compared to the controls in TCGA dataset and Curtis dataset. (D) OS analysis of patients with high and low NAA25 expression. The p value was calculated using Mann-Whitney U tests. (E) Western-blot and RT-qPCR to analyze NAA25 expression in breast cancer tissues and para-carcinoma tissues, NAA25 was highly expressed in breast cancer tissues. The two bands are all NAA25. *p < 0.05. To explore the role of NAA25 gene in breast cancer, we analyzed its expression in different public databases. According to TCGA and the Curtis, Finak breast and Richardson breast datasets (18–21), we found that NAA25 was greatly up regulated in breast cancer tissues in comparison with normal breast tissues ( and ). Furthermore, high mRNA levels of NAA25 showed marginal associations with poor OS in the Curtis database (p = 0.013) ( ). Additionally, we explored the expression of NAA25 gene in breast cancer tissues and para-cancerous tissues. RT-qPCR and western blot analyses were performed in four-pairs of tissues, and results revealed that NAA25 was highly expressed in cancer tissues ( ). We also monitored NAA25 expression in normal breast epithelial cell line MCF10A, and breast cancer cell lines MCF7 and T47D. Compared to MCF10A, NAA25 was highly expressed in T47D cells ( ). Together, our analyses reveal a previously unknown role of NAA25 in breast cancer, and highly expressed NAA25 might influence the progress of breast cancer.
Figure 2

NAA25 gene influences cell apoptosis and the cell cycle in breast cancer. (A) RT-qPCR and western blot analysis of NAA25 gene expression in breast cancer cell lines (The two bands are all NAA25.). (B) RT-qPCR and western blot analysis in the NAA25-deficient T47D cell line. (C) Cell apoptosis in the NAA25-deficient T47D cells. Compared to the Ctr group, NAA25 knockdown could increase cell apoptosis. (D) Cell cycle analysis of the NAA25-deficient T47D cells. Compared to the Ctr group, NAA25 knockdown induced G2/M cell cycle arrest. (E, F) Downregulated NAA25 reduced the clonogenic potential of breast cancer cells. N.S. p > 0.05; *p < 0.05; **p < 0.01; ***p < 0.001 and ****p < 0.0001.

NAA25 gene influences cell apoptosis and the cell cycle in breast cancer. (A) RT-qPCR and western blot analysis of NAA25 gene expression in breast cancer cell lines (The two bands are all NAA25.). (B) RT-qPCR and western blot analysis in the NAA25-deficient T47D cell line. (C) Cell apoptosis in the NAA25-deficient T47D cells. Compared to the Ctr group, NAA25 knockdown could increase cell apoptosis. (D) Cell cycle analysis of the NAA25-deficient T47D cells. Compared to the Ctr group, NAA25 knockdown induced G2/M cell cycle arrest. (E, F) Downregulated NAA25 reduced the clonogenic potential of breast cancer cells. N.S. p > 0.05; *p < 0.05; **p < 0.01; ***p < 0.001 and ****p < 0.0001.

NAA25 Knockdown Inducing Apoptosis, G2/M Arrest and Suppressing Cell Proliferation

To investigate the physiological roles of NAA25 gene in breast cancer, two shRNA targets were designed to knockdown NAA25 gene in breast cancer cell lines, and the mRNA expression and protein expression of NAA25 were both significantly diminished ( and ). Apoptosis is a key cellular process in breast cancer. We measured the effect of NAA25 on apoptosis and cell cycle by FACE analysis. Compared to the Ctr group, the number of apoptotic cells was relatively larger in the shRNA groups (p < 0.01), as shown in ( ), and more cells were arrested in the G2/M phase (p < 0.05), as shown in ( ). To further investigate whether NAA25 knockdown could influence tumor growth, colony formation assays were applied in this study, which illustrated that clonogenic survival significantly decreased following NAA25 knockdown in T47D cell line ( ). And similar results were investigated in NAA25-deficient MCF7 cells. Hence, based on these results, we conclude that NAA25 is highly expressed in breast cancer and may lead to poor OS in patients by regulating tumor cell apoptosis and cell cycle.

RNA Sequencing Characterizing the Molecular Profile of NAA25-Deficient Breast Cancer Cells

To investigate the importance of NAA25 gene in breast cancer, RNA-seq analysis was applied after NAA25 knockdown in the T47D cell line. Pearson’s correlation analysis (PCA) was performed to cluster all samples ( ). Based on the gene expression matrix, the Venn diagram was used to analyze the co-expressed and specifically expressed genes or transcripts among the Ctr group and shRNA groups ( ). Furthermore, differentially expressed gene (DEG) analysis was conducted to compare the Ctr group and the sh1 and sh2 groups respectively, and 119 DEGs were identified ( , ). All DEGs were presented in .
Figure 3

RNA-seq analysis in the NAA25-deficient T47D cells. (A) Venn diagram analysis of gene or transcript expression among the Ctr group and shRNA groups. (B) Differentially expressed gene (DEG) heatmap analysis. Blue indicates downregulated genes. Red indicates upregulated genes. (C) Volcano plot showing the DEG in the Ctr group and the sh1 group. (D) GO term analysis between the Ctr group and the sh1 group. (E) Gene set enrichment analysis (GSEA) to analyze DEG between the Ctr group and the sh1 group. (F) RT-qPCR analysis to validate DEGs after NAA25 knockdown in the T47D cells. The data shown here are representative of at least 3 independent experiments. N.S. p > 0.05; *p < 0.05; **p < 0.01 and ****p < 0.0001.

RNA-seq analysis in the NAA25-deficient T47D cells. (A) Venn diagram analysis of gene or transcript expression among the Ctr group and shRNA groups. (B) Differentially expressed gene (DEG) heatmap analysis. Blue indicates downregulated genes. Red indicates upregulated genes. (C) Volcano plot showing the DEG in the Ctr group and the sh1 group. (D) GO term analysis between the Ctr group and the sh1 group. (E) Gene set enrichment analysis (GSEA) to analyze DEG between the Ctr group and the sh1 group. (F) RT-qPCR analysis to validate DEGs after NAA25 knockdown in the T47D cells. The data shown here are representative of at least 3 independent experiments. N.S. p > 0.05; *p < 0.05; **p < 0.01 and ****p < 0.0001. Furthermore, KEGG enrichment analyses were performed among the 119 DEGs, and most of them were related to infections, immune responses, cancers and immune diseases ( ). GO term analysis was performed to NAA25-deficient cells, and the results showed that many genes were associated with infection and immunity ( and ). To assess the molecular pathways involved in NAA25-deficient T47D cells, we performed gene set enrichment analysis (GSEA). And NAA25 knockdown could increase apoptosis associated pathways, and reduce tumor associated pathways, like MYC, HIF1A, ERB2, MEK and TNF ( and ). In addition, immune response associated pathways like IL4, TNF and LTE2 were reduced. Finally, RT-qPCR analysis was used to verify RNA-seq data ( ). IFIT2, IFIT3, IFIT27, IFITM1, NDRG1, PFKFB4, ZNF395, IFI6, FUT11 and OAS2 mRNA expression was upregulated after NAA25 knockdown, and HSPH1 gene expression was down regulated, consistent with the RNA-seq results.

Discussion

A large number of breast cancer associated susceptibility SNPs and genes were identified and reported as a molecular marker in tumor incidence, metastasis, prognosis and treatment. Previously, we performed a genome-wide lncRNA association study in Han Chinese women and identified two new susceptibility SNPs, rs11066150 and rs12537 (6) (22). rs11066150 variant had no relationship with the clinical characteristics of breast cancer like family history, menopausal status, and molecular subtypes (22). However, rs11066150 associated lncRNA, lncHSAT164, was highly expressed in breast cancer, and overexpressed lncHSAT164 could promote colony formation and down-expressed lncHSAT164 could promote cell apoptosis and regulate cell cycle (6). In this study, we reported rs11066150 as an intron variant SNP in NAA25 gene. And NAA25 gene is highly expressed in breast cancer tissues relative to normal tissues, while high NAA25 expression is correlated with poor OS. And NAA25 knockdown could induce cell apoptosis, delay G2/M phase cell and decrease cell clone formation. NAA25 was reported to be associated with T1D (7, 23), arthritis (8, 24) and virus infection (25). However, NAA25 gene was reported as a proto-oncogene in breast cancer for the first time, and more research is needed in the future to characterize the impact of rs11066150 A/G variant on breast cancer, and the relationship between lncHSAT164 and NAA25 gene also needs further study. RNA-seq is a ubiquitous tool in molecular biology that is shaping nearly every aspect of our understanding of genomic function (26). The molecular features of NAA25-deficient T47D cell lines were analyzed by RNA-seq in this work, and analysis results indicated that many infection and immune associated genes were highly expressed, which suggests that immune therapy may be an effective approach in treating NAA25-overexpressed breast cancer. Highly expressed IFIT2 and NDRG1 could reduce tumor migration and metastasis (27–30). And HSPH1 was highly expressed in different tumors, such as colorectal cancer, B-cell lymphoma, melanoma and esophageal squamous cell carcinoma (31–34), while NAA25 knockdown could upregulate IFIT2 and NDRG1 expression and downregulate HSPH1 expression ( ). These findings suggest that NAA25 knockdown may also play a positive role in treating other cancers. As an important accessory subunit of the NatB enzymatic complex, NAA25 could work with the NAA20 catalytic subunit to promote enzymatic activity (26, 35), and NAA25 knockdown did not reduce NAA20 expression (12). It’s also verified in the current study. In conclusion, in this study, we reported NAA25 as a candidate gene of rs11066150, which was highly expressed in breast cancer, and highly expressed NAA25 could reduce patient’s OS. In addition, NAA25 knockdown could induce cell apoptosis, delay G2/M phase cell and decrease cell clone formation. RNA-seq analysis was also applied to clarify the molecular profiling of NAA25-deficient cells, and NAA25 knockdown repressed tumor- and immune response-associated pathways. This study is among the first attempts to clarify the function of NAA25 in breast cancer, and these results have elucidated the mechanism of NAA25 in breast cancer and suggests that NAA25 may serve as a potential therapeutic target of breast cancer.

Data Availability Statement

The datasets presented in this study can be found in online repositories. RNA-seq data presented in the study are deposited in the SRA repository, accession number PRJNA752396. Further inquiries can be directed to the corresponding authors.

Ethics Statement

This study was approved by the Ethics Committee of Anhui Medical University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

JX, YC, and BZ conceived of the idea. JX, ZL, and GL performed the experiments. JX, XBZ, and XJZ analyzed the data. JX drafted the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the scientific and technological innovation leading talents of “Ten Thousand Talents Program” (2018-WRJH-1), the National Natural Science Foundation of China (81872516), the discipline construction project of Peking Union Medical College (xhxk201903) and 2020 medical service and support capability upgrade project (2020-QTL-008).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer, H-FZ, declared a past co-authorship with one of the authors, XJZ, to the handling editor.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  35 in total

Review 1.  RNA sequencing: the teenage years.

Authors:  Rory Stark; Marta Grzelak; James Hadfield
Journal:  Nat Rev Genet       Date:  2019-07-24       Impact factor: 53.242

2.  Identification of six novel susceptibility loci for dyslipidemia using longitudinal exome-wide association studies in a Japanese population.

Authors:  Yoshiki Yasukochi; Jun Sakuma; Ichiro Takeuchi; Kimihiko Kato; Mitsutoshi Oguri; Tetsuo Fujimaki; Hideki Horibe; Yoshiji Yamada
Journal:  Genomics       Date:  2018-06-04       Impact factor: 5.736

3.  Identification of the human N(alpha)-acetyltransferase complex B (hNatB): a complex important for cell-cycle progression.

Authors:  Kristian K Starheim; Thomas Arnesen; Darina Gromyko; Anita Ryningen; Jan Erik Varhaug; Johan R Lillehaug
Journal:  Biochem J       Date:  2008-10-15       Impact factor: 3.857

4.  Depleting IFIT2 mediates atypical PKC signaling to enhance the migration and metastatic activity of oral squamous cell carcinoma cells.

Authors:  K C Lai; C J Liu; K W Chang; T C Lee
Journal:  Oncogene       Date:  2012-09-17       Impact factor: 9.867

5.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

6.  N-Terminal Acetylation by NatB Is Required for the Shutoff Activity of Influenza A Virus PA-X.

Authors:  Kohei Oishi; Seiya Yamayoshi; Hiroko Kozuka-Hata; Masaaki Oyama; Yoshihiro Kawaoka
Journal:  Cell Rep       Date:  2018-07-24       Impact factor: 9.423

7.  Genome-wide long non-coding RNA association study on Han Chinese women identifies lncHSAT164 as a novel susceptibility gene for breast cancer.

Authors:  Jing-Kai Xu; Guo-Zheng Li; Zhi Li; Wen-Jing Li; Run-Sheng Chen; Bo Zhang; Xue-Jun Zhang
Journal:  Chin Med J (Engl)       Date:  2021-03-22       Impact factor: 2.628

8.  Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

Authors:  Roger L Milne; Karoline B Kuchenbaecker; Kyriaki Michailidou; Jonathan Beesley; Siddhartha Kar; Sara Lindström; Shirley Hui; Audrey Lemaçon; Penny Soucy; Joe Dennis; Xia Jiang; Asha Rostamianfar; Hilary Finucane; Manjeet K Bolla; Lesley McGuffog; Qin Wang; Cora M Aalfs; Marcia Adams; Julian Adlard; Simona Agata; Shahana Ahmed; Habibul Ahsan; Kristiina Aittomäki; Fares Al-Ejeh; Jamie Allen; Christine B Ambrosone; Christopher I Amos; Irene L Andrulis; Hoda Anton-Culver; Natalia N Antonenkova; Volker Arndt; Norbert Arnold; Kristan J Aronson; Bernd Auber; Paul L Auer; Margreet G E M Ausems; Jacopo Azzollini; François Bacot; Judith Balmaña; Monica Barile; Laure Barjhoux; Rosa B Barkardottir; Myrto Barrdahl; Daniel Barnes; Daniel Barrowdale; Caroline Baynes; Matthias W Beckmann; Javier Benitez; Marina Bermisheva; Leslie Bernstein; Yves-Jean Bignon; Kathleen R Blazer; Marinus J Blok; Carl Blomqvist; William Blot; Kristie Bobolis; Bram Boeckx; Natalia V Bogdanova; Anders Bojesen; Stig E Bojesen; Bernardo Bonanni; Anne-Lise Børresen-Dale; Aniko Bozsik; Angela R Bradbury; Judith S Brand; Hiltrud Brauch; Hermann Brenner; Brigitte Bressac-de Paillerets; Carole Brewer; Louise Brinton; Per Broberg; Angela Brooks-Wilson; Joan Brunet; Thomas Brüning; Barbara Burwinkel; Saundra S Buys; Jinyoung Byun; Qiuyin Cai; Trinidad Caldés; Maria A Caligo; Ian Campbell; Federico Canzian; Olivier Caron; Angel Carracedo; Brian D Carter; J Esteban Castelao; Laurent Castera; Virginie Caux-Moncoutier; Salina B Chan; Jenny Chang-Claude; Stephen J Chanock; Xiaoqing Chen; Ting-Yuan David Cheng; Jocelyne Chiquette; Hans Christiansen; Kathleen B M Claes; Christine L Clarke; Thomas Conner; Don M Conroy; Jackie Cook; Emilie Cordina-Duverger; Sten Cornelissen; Isabelle Coupier; Angela Cox; David G Cox; Simon S Cross; Katarina Cuk; Julie M Cunningham; Kamila Czene; Mary B Daly; Francesca Damiola; Hatef Darabi; Rosemarie Davidson; Kim De Leeneer; Peter Devilee; Ed Dicks; Orland Diez; Yuan Chun Ding; Nina Ditsch; Kimberly F Doheny; Susan M Domchek; Cecilia M Dorfling; Thilo Dörk; Isabel Dos-Santos-Silva; Stéphane Dubois; Pierre-Antoine Dugué; Martine Dumont; Alison M Dunning; Lorraine Durcan; Miriam Dwek; Bernd Dworniczak; Diana Eccles; Ros Eeles; Hans Ehrencrona; Ursula Eilber; Bent Ejlertsen; Arif B Ekici; A Heather Eliassen; Christoph Engel; Mikael Eriksson; Laura Fachal; Laurence Faivre; Peter A Fasching; Ulrike Faust; Jonine Figueroa; Dieter Flesch-Janys; Olivia Fletcher; Henrik Flyger; William D Foulkes; Eitan Friedman; Lin Fritschi; Debra Frost; Marike Gabrielson; Pragna Gaddam; Marilie D Gammon; Patricia A Ganz; Susan M Gapstur; Judy Garber; Vanesa Garcia-Barberan; José A García-Sáenz; Mia M Gaudet; Marion Gauthier-Villars; Andrea Gehrig; Vassilios Georgoulias; Anne-Marie Gerdes; Graham G Giles; Gord Glendon; Andrew K Godwin; Mark S Goldberg; David E Goldgar; Anna González-Neira; Paul Goodfellow; Mark H Greene; Grethe I Grenaker Alnæs; Mervi Grip; Jacek Gronwald; Anne Grundy; Daphne Gschwantler-Kaulich; Pascal Guénel; Qi Guo; Lothar Haeberle; Eric Hahnen; Christopher A Haiman; Niclas Håkansson; Emily Hallberg; Ute Hamann; Nathalie Hamel; Susan Hankinson; Thomas V O Hansen; Patricia Harrington; Steven N Hart; Jaana M Hartikainen; Catherine S Healey; Alexander Hein; Sonja Helbig; Alex Henderson; Jane Heyworth; Belynda Hicks; Peter Hillemanns; Shirley Hodgson; Frans B Hogervorst; Antoinette Hollestelle; Maartje J Hooning; Bob Hoover; John L Hopper; Chunling Hu; Guanmengqian Huang; Peter J Hulick; Keith Humphreys; David J Hunter; Evgeny N Imyanitov; Claudine Isaacs; Motoki Iwasaki; Louise Izatt; Anna Jakubowska; Paul James; Ramunas Janavicius; Wolfgang Janni; Uffe Birk Jensen; Esther M John; Nichola Johnson; Kristine Jones; Michael Jones; Arja Jukkola-Vuorinen; Rudolf Kaaks; Maria Kabisch; Katarzyna Kaczmarek; Daehee Kang; Karin Kast; Renske Keeman; Michael J Kerin; Carolien M Kets; Machteld Keupers; Sofia Khan; Elza Khusnutdinova; Johanna I Kiiski; Sung-Won Kim; Julia A Knight; Irene Konstantopoulou; Veli-Matti Kosma; Vessela N Kristensen; Torben A Kruse; Ava Kwong; Anne-Vibeke Lænkholm; Yael Laitman; Fiona Lalloo; Diether Lambrechts; Keren Landsman; Christine Lasset; Conxi Lazaro; Loic Le Marchand; Julie Lecarpentier; Andrew Lee; Eunjung Lee; Jong Won Lee; Min Hyuk Lee; Flavio Lejbkowicz; Fabienne Lesueur; Jingmei Li; Jenna Lilyquist; Anne Lincoln; Annika Lindblom; Jolanta Lissowska; Wing-Yee Lo; Sibylle Loibl; Jirong Long; Jennifer T Loud; Jan Lubinski; Craig Luccarini; Michael Lush; Robert J MacInnis; Tom Maishman; Enes Makalic; Ivana Maleva Kostovska; Kathleen E Malone; Siranoush Manoukian; JoAnn E Manson; Sara Margolin; John W M Martens; Maria Elena Martinez; Keitaro Matsuo; Dimitrios Mavroudis; Sylvie Mazoyer; Catriona McLean; Hanne Meijers-Heijboer; Primitiva Menéndez; Jeffery Meyer; Hui Miao; Austin Miller; Nicola Miller; Gillian Mitchell; Marco Montagna; Kenneth Muir; Anna Marie Mulligan; Claire Mulot; Sue Nadesan; Katherine L Nathanson; Susan L Neuhausen; Heli Nevanlinna; Ines Nevelsteen; Dieter Niederacher; Sune F Nielsen; Børge G Nordestgaard; Aaron Norman; Robert L Nussbaum; Edith Olah; Olufunmilayo I Olopade; Janet E Olson; Curtis Olswold; Kai-Ren Ong; Jan C Oosterwijk; Nick Orr; Ana Osorio; V Shane Pankratz; Laura Papi; Tjoung-Won Park-Simon; Ylva Paulsson-Karlsson; Rachel Lloyd; Inge Søkilde Pedersen; Bernard Peissel; Ana Peixoto; Jose I A Perez; Paolo Peterlongo; Julian Peto; Georg Pfeiler; Catherine M Phelan; Mila Pinchev; Dijana Plaseska-Karanfilska; Bruce Poppe; Mary E Porteous; Ross Prentice; Nadege Presneau; Darya Prokofieva; Elizabeth Pugh; Miquel Angel Pujana; Katri Pylkäs; Brigitte Rack; Paolo Radice; Nazneen Rahman; Johanna Rantala; Christine Rappaport-Fuerhauser; Gad Rennert; Hedy S Rennert; Valerie Rhenius; Kerstin Rhiem; Andrea Richardson; Gustavo C Rodriguez; Atocha Romero; Jane Romm; Matti A Rookus; Anja Rudolph; Thomas Ruediger; Emmanouil Saloustros; Joyce Sanders; Dale P Sandler; Suleeporn Sangrajrang; Elinor J Sawyer; Daniel F Schmidt; Minouk J Schoemaker; Fredrick Schumacher; Peter Schürmann; Lukas Schwentner; Christopher Scott; Rodney J Scott; Sheila Seal; Leigha Senter; Caroline Seynaeve; Mitul Shah; Priyanka Sharma; Chen-Yang Shen; Xin Sheng; Hermela Shimelis; Martha J Shrubsole; Xiao-Ou Shu; Lucy E Side; Christian F Singer; Christof Sohn; Melissa C Southey; John J Spinelli; Amanda B Spurdle; Christa Stegmaier; Dominique Stoppa-Lyonnet; Grzegorz Sukiennicki; Harald Surowy; Christian Sutter; Anthony Swerdlow; Csilla I Szabo; Rulla M Tamimi; Yen Y Tan; Jack A Taylor; Maria-Isabel Tejada; Maria Tengström; Soo H Teo; Mary B Terry; Daniel C Tessier; Alex Teulé; Kathrin Thöne; Darcy L Thull; Maria Grazia Tibiletti; Laima Tihomirova; Marc Tischkowitz; Amanda E Toland; Rob A E M Tollenaar; Ian Tomlinson; Ling Tong; Diana Torres; Martine Tranchant; Thérèse Truong; Kathy Tucker; Nadine Tung; Jonathan Tyrer; Hans-Ulrich Ulmer; Celine Vachon; Christi J van Asperen; David Van Den Berg; Ans M W van den Ouweland; Elizabeth J van Rensburg; Liliana Varesco; Raymonda Varon-Mateeva; Ana Vega; Alessandra Viel; Joseph Vijai; Daniel Vincent; Jason Vollenweider; Lisa Walker; Zhaoming Wang; Shan Wang-Gohrke; Barbara Wappenschmidt; Clarice R Weinberg; Jeffrey N Weitzel; Camilla Wendt; Jelle Wesseling; Alice S Whittemore; Juul T Wijnen; Walter Willett; Robert Winqvist; Alicja Wolk; Anna H Wu; Lucy Xia; Xiaohong R Yang; Drakoulis Yannoukakos; Daniela Zaffaroni; Wei Zheng; Bin Zhu; Argyrios Ziogas; Elad Ziv; Kristin K Zorn; Manuela Gago-Dominguez; Arto Mannermaa; Håkan Olsson; Manuel R Teixeira; Jennifer Stone; Kenneth Offit; Laura Ottini; Sue K Park; Mads Thomassen; Per Hall; Alfons Meindl; Rita K Schmutzler; Arnaud Droit; Gary D Bader; Paul D P Pharoah; Fergus J Couch; Douglas F Easton; Peter Kraft; Georgia Chenevix-Trench; Montserrat García-Closas; Marjanka K Schmidt; Antonis C Antoniou; Jacques Simard
Journal:  Nat Genet       Date:  2017-10-23       Impact factor: 38.330

9.  Gene expression profiling of the tumor microenvironment during breast cancer progression.

Authors:  Xiao-Jun Ma; Sonika Dahiya; Elizabeth Richardson; Mark Erlander; Dennis C Sgroi
Journal:  Breast Cancer Res       Date:  2009-02-02       Impact factor: 6.466

10.  Up-regulation of the kinase gene SGK1 by progesterone activates the AP-1-NDRG1 axis in both PR-positive and -negative breast cancer cells.

Authors:  Mukul Godbole; Trupti Togar; Kuldeep Patel; Bhasker Dharavath; Neelima Yadav; Sharan Janjuha; Nilesh Gardi; Kanishka Tiwary; Prachi Terwadkar; Sanket Desai; Ratnam Prasad; Hemant Dhamne; Kunal Karve; Sameer Salunkhe; Dhananjay Kawle; Pratik Chandrani; Shilpee Dutt; Sudeep Gupta; Rajendra A Badwe; Amit Dutt
Journal:  J Biol Chem       Date:  2018-10-18       Impact factor: 5.157

View more
  1 in total

1.  Morphological and molecular evolution of hadal amphipod's eggs provides insights into embryogenesis under high hydrostatic pressure.

Authors:  Wenhao Li; Faxiang Wang; Shouwen Jiang; Binbin Pan; Qi Liu; Qianghua Xu
Journal:  Front Cell Dev Biol       Date:  2022-09-12
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.