Literature DB >> 29317832

Upregulated LAMB3 increases proliferation and metastasis in thyroid cancer.

Yinghao Wang1, Yixiang Jin1, Adheesh Bhandari1, Zhihan Yao1, Fan Yang1, Yiyuan Pan1, Zhouci Zheng1, Shixu Lv1, Ouchen Wang1.   

Abstract

BACKGROUND: Thyroid cancer is the most commonly reported endocrine malignancy, and its increased incidence has been the highest in all human tumors in recent decades. To investigate the mechanism of papillary thyroid cancer (PTC) occurrence and progression, we performed RNA sequencing and found an upregulated gene, LAMB3. However, the biological function of LAMB3 is still not clear.
MATERIALS AND METHODS: We analyzed LAMB3 expression using The Cancer Genome Atlas (TCGA) database and hypothesized LAMB3 to be a gene associated with PTC. To test this hypothesis, we collected 89 pairs of thyroid nodules and adjacent normal thyroid tissues (56 pairs of PTCs, 33 pairs of benign thyroid nodules). Afterward, we performed real-time quantitative polymerase chain reaction (RT-qPCR) to investigate LAMB3 expression in thyroid nodule patients, and then analyzed clinicopathologic features. We performed proliferation, colony formation, migration, and invasion assays to determine the function of LAMB3 in PTC.
RESULTS: We demonstrated that LAMB3 plays oncogenic roles in PTC. The relative expression of LAMB3 is significantly upregulated in PTC compared with matched thyroid normal tissues in validated cohort and TCGA cohort (P<0.001). We also checked area under the curve (AUC of receiver operator characteristic [ROC]) of 97.3% for validated cohort and 90.1% for TCGA cohort to differentiate PTC tumors from normal tissues. In clinicopathologic feature analysis, we found that upregulated LAMB3 is closely related to lymph node metastasis (P=0.018). Furthermore, knockdown of LAMB3 inhibited the proliferation, colony formation, migration, and invasive capacity of PTC.
CONCLUSION: This study indicated that LAMB3 is a gene associated with PTC.

Entities:  

Keywords:  LAMB3; PTC; papillary thyroid cancer

Year:  2017        PMID: 29317832      PMCID: PMC5743181          DOI: 10.2147/OTT.S149613

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Thyroid cancer is the most commonly reported endocrine malignancy, and its increased incidence has been the highest in all human tumors in recent decades.1,2 Thyroid cancer incidence has increased at a rate of 4% annually and exhibited a triple increase over the past decades in many countries.1,3 Due to the widespread use of neck ultrasonography, some histological types of thyroid cancer can be diagnosed during the early stage and prevented from developing to severe clinical disease. However, large and advanced thyroid cancer keeps increasing in incidence.4–6 Thyroid cancer is classified into five histological types, namely parafollicular C-cell-derived medullary thyroid cancer, follicular cell-derived anaplastic thyroid cancer, poorly differentiated thyroid cancer, follicular thyroid cancer, and papillary thyroid cancer (PTC); these types classically account for 3%, 2%, 5%, 10%, and ~80% of all thyroid malignancies, respectively.7 Furthermore, the genetic alterations are significantly associated with the tumorigenesis of thyroid cancer and prognosis of thyroid cancer patients. Genetic rearrangements, including the RET proto-oncogene, are certainly common in PTC (3%–60%).8,9 The rearrangement gene, such as RET/PTC1 and RET/PTC3, can continuously activate the RET tyrosine kinase domain, which is important in triggering changes in the cytoplasm of PTC cells.10,11 Furthermore, genetic mutations can drive tumorigenesis and progression of thyroid cancer, including BRAF mutation,12,13 RAS mutation,14,15 TERT mutation,16,17 and P53 mutation.18 We have made progress in early diagnosis and surgical treatment and found some driver mutations in tumorigenesis and development; however, the molecular mechanism of PTC is still undetermined. To explore the occurrence and progression of thyroid cancer, we performed RNA sequencing (RNA-seq) of 19 pairs of primary PTC tissues and adjacent normal tissues. After analyzing the data, the LAMB3 gene appeared to be a gene associated with PTC that is crucial in tumorigenesis. Tumor invasion and metastasis are significantly associated with the extracellular matrix (ECM) and the tumor’s process of breaking down the basement membrane (BM) and contribute to the poor prognosis of thyroid cancer patients. Laminin (LM), one of the most common basement membrane, is made up of three different chains (α, β, and γ) that are encoded in human beings by 5α, 4β, and 3γ genes.19 In mammals, researchers recently identified 15 different LM isoforms.20 LM-332/LM-5 is encoded by LAMA3, LAMB3, and LAMC2, which consists of α3, β3, and γ2. LM-332 composes the ECM that affects cell adhesion, proliferation, migration, and differentiation.21 However, the function of the LAMB3 gene is still unknown in PTC. Some researchers have demonstrated a significant association between LAMB3 and clinical characterization;22,23 however, its importance in PTC remains to be investigated. In this study, LAMB3 was significantly upregulated in PTC compared with adjacent normal tissue upon RNA-seq and bioinformatics analysis. In addition, LAMB3 is a gene associated with PTC and a potential diagnostic marker in PTC.

Patients and methods

Patients and samples

A total of 56 pairs of matched PTC and adjacent normal tissues and 33 pairs of matched benign thyroid nodules and adjacent normal tissues were collected during initial surgery. Samples after surgical resection were immediately snap frozen in liquid nitrogen and stored at −80°C before extraction. All samples were confirmed by postoperative histopathological examination. Histopathological types of all cases were confirmed by two pathologists. All procedures performed in our study involving human participants were approved by the ethics committee of the First Affiliated Hospital of Wenzhou Medical University. Written informed consent for the scientific use of the biological material was obtained from each patient. The LAMB3 expression values (transcripts per million, TPM) of thyroid cancer were downloaded from The Cancer Genome Atlas (TCGA) database (TCGA-thyroid carcinoma project, 59 pairs of thyroid cancer with adjacent normal thyroid tissues for expression level; 375 thyroid cancers with complete clinicopathologic features for further analysis, including age, gender, tumor size, lymph node metastasis, clinical stage, and histological type).

Next-generation sequencing and bioinformatics analysis

Total RNA was extracted from tissue samples using Trizol reagent (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s protocol. After the quality test, cDNA libraries were prepared using Ion Total RNA-Seq Kit v2.0 (Thermo Fisher Scientific) according to the manufacturer’s instructions. They were then processed for sequencing using Illumina HiSeq 2500 according to commercially available protocols. We applied EBSeq algorithm to screen out the differently expressed genes using the following criteria: 1) fold change >2 for upregulation or downregulation, 2) false discovery rate <0.05, and 3) P-value <0.05.

Cell lines and cell culture

The TPC1 and BCPAP cell lines were provided by Professor Mingzhao Xing of the Johns Hopkins University School of Medicine, Baltimore, MA, USA. The KTC-1 cell line was provided by Stem Cell Bank, Chinese Academy of Sciences (Beijing, People’s Republic of China). The TPC1 and BCPAP were grown in Roswell Park Memorial Institute 1640 medium (RPMI1640; Thermo Fisher Scientific; 10% [v/v] fetal bovine serum [FBS], 1× sodium pyruvate, 1× minimum essential medium nonessential amino acids, 37°C, 5% CO2). KTC-1 was grown in RMPI1640 (10% [v/v] FBS, 1× minimum essential medium nonessential amino acids, 37°C, 5% CO2). These cells used in this study obtained ethical approval from the institutional review board of the First Affiliated Hospital of Wenzhou Medical University (approval no 2012-57).

RNA isolation and real-time quantitative polymerase chain reaction

RNA isolation was performed using Trizol reagent according to the manufacturer’s manual. Reverse transcription was performed with ReverTra Ace qPCR RT Kit (Toyobo, Osaka, Japan), using oligo-dT-primers and 1 μg mRNA per reaction as a template. Real-time quantitative polymerase chain reaction (RT-qPCR) analysis was performed in triplicate on the ABI Prism 7500 Sequence Detection System (Thermo Fisher Scientific) using the Thunderbird SYBR qPCR Mix (Toyobo) according to the manufacturer’s recommendations. The relative expression of LAMB3 was normalized by GADPH expression levels. Primer sequences were as follows: LAMB3: 5′-GCAGCCTCACAACTACTACAG-3′ (forward) and 5′-CCAGGTCTTACCGAAGTCTGA-3′ (reverse); GAPDH: 5′-GGTCGGAGTCAACGGATTTG-3′ (forward) and 5′-ATGAGCCCCAGCCTTCTCCAT-3′ (reverse).

RNA interference

Small interfering RNA (siRNA) for LAMB3 and nontargeting siRNA (negative control [NC] siRNA) were purchased from GenePharma (Shanghai, People’s Republic of China) for siRNA-mediated gene knockdown. Cell lines were seeded in 12-well plates and were incubated overnight. Cells that were 30% confluent were transfected by RNAiMAX (Thermo Fisher Scientific) with a final siRNA concentration of 100 nM according to the manufacturer’s protocol. Cells were harvested 48 h after transfection of RNA isolation. All assays were performed in triplicate. The siRNA sequences were as follows: siRNA1: 5′-CCAAAGGUGCGACUGCAAUTT-3′ (forward) and 5′-AUUGCAGUCGCACCUUUGGTT-3′ (reverse); siRNA2: 5′-CCAGCGAGGCUACUGUAAUTT-3′ (forward) and 5′-AUUACAGUAGCCUCGCUGGTT-3′ (reverse).

Cell proliferation assay

TPC1 (2×103 cells), KTC-1, and BCPAP cells (3×103 cells) were seeded in 96-well plates overnight. On the next day, all cells were transfected with siRNA. Cell Counting Kit-8 (CCK-8; Keygen, Nanjing, People’s Republic of China) was added to each well. After 2-h incubation, the plate was shaken and measured using SpectraMax M5 (Molecular Devices LLC, Sunnyvale, CA, USA) at 450 nm (OD450). This same procedure was repeated every 24 h until the last plate was measured. All assays were repeated in triplicate.

Colony formation assay

The three transfected cells or control cells (2×103 cells for TPC1, 3×103 cells for BCPAP and KTC-1) were seeded in six-well plates and incubated for 8–12 days. Subsequently, each well was washed thrice with PBS, fixed with 4% paraformaldehyde (Sigma-Aldrich Co., St Louis, MO, USA) for 30 min, and stained with 0.01% crystal violet for 30 min. All assays were repeated in triplicate.

Migration and invasion assays

Cell migration assay

Cells (2×104 for TPC1, 3×104 for BCPAP and KTC-1) were suspended in 200 μL serum-free RPMI1640 and seeded into the upper chamber (Corning Incorporated, Corning, NY, USA) of each insert. Subsequently, 500 μL of RPMI1640 containing 10% FBS was added to a 24-well plate. After incubation at 37°C for 24 h, the cells that migrated were fixed and stained for 30 min with 0.01% crystal violet solution in PBS.

Cell invasion assay

Chambers were uniformly covered with 60 μL Matrigel diluted with RPMI1640 to a certain percentage and incubated at 37°C for 4 h. Subsequently, cells (4×104 for TPC1, 6×104 for BCPAP and KTC-1) were suspended in 200 μL RPMI1640 and seeded in the upper chambers, and 500 μL RPMI1640 containing 10% FBS was added to the lower chamber. After incubation at 37°C for 24 h, the cells were fixed and stained.

Statistical analysis

Data on normal distribution are expressed as mean ± SD. Categorical variables were expressed as the percentage and were compared with chi-square test or Fisher’s exact test, as appropriate. Otherwise, differences between groups were analyzed using Student’s t-test (two-tailed). The ability of single gene expression to discriminate (concordance) was determined by calculating the area under the curve (AUC) of the receiver operator characteristic (ROC) curve. All P-values were two sided, and P-value <0.05 was considered statistically significant. Statistical analysis was performed using SPSS software version 23.0 (IBM Corporation, Armonk, NY, USA). GraphPad Prism7 (GraphPad Software, Inc., La Jolla, CA, USA) was used for constructing the graphs.

Results

LAMB3 expression was upregulated in PTC

In our previous study, we performed RNA-seq of 19 pairs of primary PTC tissues and adjacent normal tissues. By further analysis, we found that LAMB3 was significantly upregulated in our data (Figure 1A), which is according to the expression in TCGA database (59 pairs of thyroid cancer with adjacent normal thyroid tissues; Figure 1B). Subsequently, we detected the relative expression of LAMB3 in 89 pairs of matched thyroid nodule tissues (56 pairs of PTCs and 33 pairs of benign thyroid nodules) with normal tissues by RT-qPCR as the validated cohort. As shown in Figure 1C, the relative expression of LAMB3 in tumor tissues was significantly upregulated compared with the matched normal tissues (P<0.001) and benign thyroid nodules (P<0.001). However, there is no significant difference compared with the expression of benign thyroid nodules and adjacent normal thyroid tissues (P>0.1). Then, we performed an ROC curve to evaluate the diagnostic potential of LAMB3 expression level. In our validated cohort (56 pairs of PTC tissues with normal tissues), ROC curve analysis indicated that LAMB3 expression level can be a promising marker for differentiating malignant thyroid cancer from normal tissue, with a sensitivity and specificity of 94.6% and 98.2%, respectively (an area under the ROC curve: 97.3%; Figure 1D). This result is further confirmed by TCGA data (507 PTC tissues and 59 normal tissues) set with a sensitivity and specificity of 83.1% and 91.5%, respectively (an area under the ROC curve: 90.1%; Figure 1E). These results demonstrated that LAMB3 is upregulated and associated with PTC.
Figure 1

LAMB3 relative expression was significantly upregulated in thyroid cancer samples compared with normal thyroid tissues in validated cohort and TCGA cohort.

Notes: (A) LAMB3 expression was upregulated by 19 pairs of matched thyroid cancer and normal tissues by RNA-seq (***P<0.01). (B) LAMB3 relative expression was validated by 59 pairs of matched thyroid cancer and normal tissues by TGCA database (***P<0.01). (C) LAMB3 expression was examined in 56 paired PTC samples with adjacent normal tissues and 33 benign thyroid nodules with adjacent normal tissues by RT-qPCR (***P<0.01). (D) LAMB3 expression level for differentiating normal tissue from PTC in our validated cohort (59 pairs of PTC tissues with adjacent normal tissues); AUC: 97.3%, sensitivity: 94.6%, and specificity: 98.2% in the validated cohort. (E) LAMB3 expression level for differentiating normal tissue from PTC in TCGA cohort (507 PTC tissues and 59 normal tissues), AUC: 90.1%, sensitivity: 83.1%, and specificity: 91.5% in TCGA cohort.

Abbreviations: AUC, area under the curve; ns, no sense; PTC, papillary thyroid cancer; RNA-seq, RNA sequencing; RT-qPCR, real-time quantitative polymerase chain reaction; TPM, transcripts per million; TCGA, The Cancer Genome Atlas.

LAMB3 expression is associated with clinicopathologic features

To investigate whether LAMB3 is related to PTC “occurrence” and progression, we analyzed the clinical features with the relative expression of LAMB3. Based on the 56 pairs of PTC tissues with matched normal tissues, patients were classified into a low- and a high-expression group according to the median value. In TCGA cohort, results revealed that lymph node metastasis (P<0.001) and histological type (P<0.001) were significantly related to high LAMB3 expression (Table 1). In our validated cohort, high LAMB3 expression corresponds to more lymph node metastasis (P=0.018) and tumor size (P<0.001; Table 2); meanwhile, lymph node metastasis risk was consistent with the previous finding in TCGA. However, we found that there is no significant association between LAMB3 expression and gender, as well as histological type in both cohorts (P>0.05).
Table 1

The relationship between LAMB3 expression and clinicopathologic features in TCGA cohort

Clinicopathologic featuresLow expression, n=187 (%)High expression, n=188 (%)P-value
Age (years)
 Mean47.7±14.345.3±16.2
  <4584 (44.9)92 (48.9)
 ≥45103 (55.1)96 (51.1)0.436
Gender
 Male50 (26.7)48 (25.5)
 Female137 (73.3)140 (74.5)0.79
Tumor size (cm)
 Mean2.83±1.702.99±1.72
 ≤117 (9.1)12 (6.4)
  >1170 (90.9)176 (93.6)0.326
Lymph node metastasis
 No103 (55.1)61 (32.4)
 Yes84 (44.9)127 (67.6)<0.001
Histological type
 Classical type116 (62.0)152 (80.9)
 Others71 (38.0)36 (19.1)<0.001
Clinical stage
 I + II127 (67.9)108 (57.4)
 III + IV60 (32.1)80 (42.6)0.036

Abbreviation: TCGA, The Cancer Genome Atlas.

Table 2

The relationship between LAMB3 expression and clinicopathologic features in the validated cohort

Clinicopathologic featuresLow expression, n=28 (%)High expression, n=28 (%)P-value
Age (years)
 Mean49.5±10.945.8±14.2
  <458 (28.6)11 (39.3)
  ≥4520 (71.4)17 (60.7)0.397
Gender
 Male3 (10.7)8 (28.6)
 Female25 (89.3)20 (71.4)0.093
Tumor size (cm)
 Mean1.36±0.941.62±0.60
  ≤118 (64.3)4 (14.3)
  >110 (35.7)24 (85.7)<0.001
Lymph node metastasis
 No11 (39.3)5 (17.9)
 Yes17 (60.7)23 (82.1)0.018
Clinical stage
 I + II11 (39.3)13 (46.4)
 III + IV17 (60.7)15 (53.6)0.598

Upregulation of LAMB3 increased lymph node metastasis risk of PTC

To investigate whether the expression level of LAMB3 is associated with lymph node metastasis, we analyzed the relationship between them by logistic regression. Univariate logistic regression analysis indicated that the significant variables for lymph node metastasis were LAMB3 expression (odds ratio [OR] 2.553, 95% CI 1.678–3.885, P<0.001), age (OR 0.646, 95% CI 0.428–0.976, P=0.038), gender (OR 0.501, 95% CI 0.308–0.815, P=0.005), tumor size (OR 2.242, 95% CI 1.028–4.889, P=0.042), and histological type (OR 0.358, 95% CI 0.226–0.569, P<0.001; Table 3). Multivariate logistic analysis using all parameters also revealed that LAMB3 expression (OR 2.280, 95% CI 1.465–3.549, P<0.001), gender (OR 0.476, 95% CI 0.284–0.796, P=0.005), and histological type (OR 0.444, 95% CI 0.274–0.721, P<0.001) were positively correlated with more lymph node metastasis, whereas age (OR 0.671, 95% CI 0.433–1.040, P=0.074) and tumor size (OR 0.911, 95% CI 0.911–4.584, P=0.083) were negatively associated with lymph node metastasis (Table 4). In summary, upregulated LAMB3 expression could increase the risk of lymph node metastasis in PTC patients.
Table 3

Univariate logistic regression analysis for the lymph node metastatic risk

Clinicopathologic featuresOR95% CIP-value
LAMB3 expression2.5531.678–3.885<0.001
Age0.6460.428–0.9760.038
Gender0.5010.308–0.8150.005
Tumor size2.2421.028–4.8890.042
Histological type0.3580.226–0.569<0.001

Abbreviation: OR, odds ratio.

Table 4

Multivariate logistic regression analysis for the lymph node metastatic risk

Clinicopathologic featuresOR95% CIP-value
LAMB3 expression2.281.465–3.549<0.001
Age0.6710.433–1.040.074
Gender0.4760.284–0.7960.005
Tumor size2.0430.911–4.5840.083
Histological type0.4440.274–0.7210.001

Abbreviation: OR, odds ratio.

Downregulation of LAMB3 suppressed cell proliferation and colony formation

To know the function of LAMB3 in PTC, we downregulated LAMB3 expression in the mRNA level by transfecting siRNA. After transfection, LAMB3 expression at the mRNA level was significantly downregulated by RT-qPCR (Figure 2A). Subsequently, we performed cell proliferation and colony formation assays in PTC cell lines (TPC1, BCPAP, KTC-1). Downregulation of the LAMB3 group (S1, S2) significantly inhibited cell proliferation compared with the NC group (Figure 2B). The proliferation capacities of the S1 and S2 groups were significantly inhibited and reached statistical significance at the 4th day compared with the NC group.
Figure 2

Knockdown of LAMB3 gene inhibited proliferation and colony formation in PTC cell lines.

Notes: (A) LAMB3 relative expression was detected in TPC1, BCPAP, and KTC-1 cell lines transfected with siRNA by RT-qPCR (***P<0.01). (B) Cell proliferation assay. TPC1, BCPAP, and KTC-1 cells transfected with siRNA or NC cells were cultured in 96-well plates for the successive time (1–5 days), and cell proliferation was measured using CCK-8. Cell proliferation was significantly suppressed in TPC1, BCPAP, and KTC-1 cells transfected with siRNA compared with NC. (C) Colony formation assay. TPC1, BCPAP, and KTC-1 cells transfected with siRNA and NC cells were plated in six-well plates at the proper density. After 8–14 days of incubation, cells were fixed with 4% paraformaldehyde and stained with 0.01% crystal violet. (D) Relative quantification of the colony number. The columns represent the mean colony number from at least three independent experiments, and the little vertical bars on the top of the columns represent SD. **P<0.05, ***P<0.01 in comparison with NC using Student’s t-test.

Abbreviations: CCK-8, Cell Counting Kit-8; NC, negative control; PTC, papillary thyroid cancer; RT-qPCR, real-time quantitative polymerase chain reaction; siRNA, small interfering RNA.

To demonstrate the results of cell proliferation assays, we confirmed that downregulation of LAMB3 inhibited cell line proliferation by colony formation assays (Figure 2C and D), which is according to cell proliferation assays.

Downregulation of LAMB3 inhibited migration and invasion

The situation of primary tumor metastasis is important for prognosis. To confirm whether LAMB3 plays an essential role in the migratory and invasive capacities of PTC cell lines, we performed migration and invasion assays. As shown in Figure 3A and B, downregulation of the LAMB3 group (S1, S2) inhibited the migration abilities of cell lines compared with the NC group. More distinct results are shown in TPC1 and BCPAP than KTC-1. As shown in Figure 3C and D, downregulation of the LAMB3 group (S1, S2) inhibited the invasive abilities of cell lines compared with the NC group. The result of invasion assays was consistent with migration. The migration and invasion assays demonstrated that the LAMB3 gene is an important gene associated with PTC-inducing tumor metastasis in PTC.
Figure 3

Knockdown of LAMB3 gene inhibited migration and invasion in PTC cell lines.

Notes: Migration assay: (A) migrating cell number was much less in TPC1, BCPAP, and KTC-1 cells transfected with siRNA compared with NC; (B) relative quantification of migration cell number. Invasion assay: (C) invading cell number was much less in TPC1, BCPAP, and KTC-1 cells transfected with siRNA compared with NC; (D) relative quantification of invasion cell number. Columns represent the mean of cell numbers from at least three independent experiments, and the little vertical bars at the top of the columns represent SD. ***P<0.01 in comparison with NC using Student’s t-test.

Abbreviations: NC, negative control; PTC, papillary thyroid cancer; siRNA, small interfering RNA.

Discussion

“PTC” is the most common histological type of thyroid cancer, and “most PTC” patients have a good prognosis with up to 95% survival after 10 years; however, approximately 20% of patients relapse after initial treatment. In addition, 5%–10% of patients who relapse may die from the disease because of the failure to respond to conventional therapies.24,25 Therefore, knowing the molecular mechanism of PTC is important to predict the occurrence of thyroid cancer and guide its treatment. LMs are large extracellular glycoproteins that are important components of all basement membrane zones (BMZs) and are involved in several important biological processes,26 including wound healing, tissue development, and tumorigenesis.19 In normal tissue, the main role of LM-332 (also termed LM-5) is in the maintenance of epithelial–mesenchymal cohesion.27 Herlitz’s junctional epidermolysis bullosa (JEB) is one kind of severe and lethal blistering disease, owing to LM-332 gene mutations inducing the absence of LM-332.28,29 In tumor tissues, LM-332 stimulated the migration of various cells including carcinoma cells.30–32 In gastric carcinoma cells, LM-332 could promote migration through mitogen-activated protein kinase (MAPK) pathway activation.33 Some researchers demonstrated that LM-332 can interact with cell surface receptors, such as EGFR, syndecan 1, and integrins, to promote tumorigenesis in squamous cell carcinoma.19 In addition, LAMB3 encodes the β3 subunit of LM-332. Also, the LAMB3 gene is strongly associated with human cancers. In previous reports, LAMB3 is overexpressed in PTC upon microarray analysis.34 Moreover, LAMB3 can be aberrantly upregulated by promoter demethylation and induce gastric cancer.35 Furthermore, LAMB3 is related to lymphatic metastasis in lung cancer and affects the migration and invasion capacity in lung cancer cell lines.36 In esophageal squamous cell carcinoma, the expression of LAMB3 is significantly associated with the COL7A1 gene, which is useful for predicting the malignant properties of esophageal squamous cell carcinoma.37 Besides, in the model of human epidermal carcinogenesis, LAMB3 activates PI3K through interactions with collagen VI.38 Some researchers found that osteopontin and LAMB3 can bind to ITGB1, which are receptors for cellular adhesion to the ECM and affect adhesion in the microenvironment to enhance the migration and invasion of highly metastatic cells.36 These studies indicated that LAMB3 is an important gene associated with PTC that may affect the tumorigenesis and progression of different tumors. LAMB3 may affect PI3K in thyroid cancer to regulate thyroid cancer cells migration and proliferation which is still unclear, we will investigate this hypothesis in our further study. Ultrasonography and cytological examination by fine-needle aspiration biopsy (FNAB) are the most common approaches to differentiate malignant and benign thyroid nodules. Even cytological examination, being the most accurate preoperative diagnostic method, cannot differentiate all cases. In addition, 10%–26% of FNABs of thyroid nodules are diagnosed as indeterminate, and 1%–11% are nondiagnostic.39,40 With the development of high-throughput technologies, previous studies have created some diagnostic panels from microarray and next-generation sequence data to deal with this urgent clinical problem. Some researchers developed a diagnostic molecular panel consisting of 167 genes, with sensitivity and specificity of 92% and 52%, respectively.41 Using next-generation sequencing, another study established the ThyroSeq V2 assay, which includes more than 50 gene mutations and gene fusions, with high sensitivity (90%) and specificity (93%).42 The discovery of the gene markers is necessary to differentiate indeterminate thyroid nodules. In our study, LAMB3 expression at the RNA level was significantly upregulated by RNA-seq of 19 pairs of matched PTC tissues and normal tissues, according to data from TCGA. Moreover, we collected 89 pairs of thyroid nodules and matched adjacent normal tissues (56 pairs of PTC and 33 pairs of benign thyroid nodules) and demonstrated that LAMB3 is upregulated in PTC but not in benign thyroid nodules. Subsequently, we demonstrated that upregulated LAMB3 is closely related to lymph node metastasis which is validated by TCGA data set and our tissue specimens. To explore the biological function of LAMB3, we chose three PTC cell lines (TPC1, BCPAP, and KTC-1). By knocking down LAMB3 expression in the RNA level by siRNA, we demonstrated that cell proliferation, migration, and invasion were significantly inhibited. Our study has limitations. Although we found the potential diagnostic value of LAMB3 in differentiating indeterminate thyroid nodules by postoperative specimens, LAMB3 expression in FNAB and diagnostic value were not evaluated. Besides, the specific mechanisms of LAMB3 in PTC remain to be further investigated.

Conclusion

By using RNA-seq and bioinformatics analysis, we discovered that LAMB3 is a gene associated with PTC, which is closely related to lymph node metastasis. Subsequently, we demonstrated that the downregulation of LAMB3 can inhibit cell proliferation, migration, and invasion. Our study provided a new potential diagnostic biomarker and therapeutic target for PTC.
  42 in total

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Authors:  S Kivirikko; J A McGrath; C Baudoin; D Aberdam; S Ciatti; M G Dunnill; J R McMillan; R A Eady; J P Ortonne; G Meneguzzi
Journal:  Hum Mol Genet       Date:  1995-05       Impact factor: 6.150

Review 3.  Tumour microenvironment: laminin 332 in squamous-cell carcinoma.

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5.  A large cell-adhesive scatter factor secreted by human gastric carcinoma cells.

Authors:  K Miyazaki; Y Kikkawa; A Nakamura; H Yasumitsu; M Umeda
Journal:  Proc Natl Acad Sci U S A       Date:  1993-12-15       Impact factor: 11.205

6.  Highly accurate diagnosis of cancer in thyroid nodules with follicular neoplasm/suspicious for a follicular neoplasm cytology by ThyroSeq v2 next-generation sequencing assay.

Authors:  Yuri E Nikiforov; Sally E Carty; Simon I Chiosea; Christopher Coyne; Umamaheswar Duvvuri; Robert L Ferris; William E Gooding; Steven P Hodak; Shane O LeBeau; N Paul Ohori; Raja R Seethala; Mitchell E Tublin; Linwah Yip; Marina N Nikiforova
Journal:  Cancer       Date:  2014-09-10       Impact factor: 6.860

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Journal:  Gynecol Oncol       Date:  2010-02-16       Impact factor: 5.482

9.  Genetic alterations in poorly differentiated and undifferentiated thyroid carcinomas.

Authors:  Paula Soares; Jorge Lima; Ana Preto; Patricia Castro; João Vinagre; Ricardo Celestino; Joana P Couto; Hugo Prazeres; Catarina Eloy; Valdemar Máximo; M Sobrinho-Simões
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10.  Worldwide increasing incidence of thyroid cancer: update on epidemiology and risk factors.

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Journal:  Int J Mol Sci       Date:  2020-06-03       Impact factor: 5.923

2.  LAMB3 mediates apoptotic, proliferative, invasive, and metastatic behaviors in pancreatic cancer by regulating the PI3K/Akt signaling pathway.

Authors:  Hong Zhang; Yao-Zhen Pan; May Cheung; Mary Cao; Chao Yu; Ling Chen; Lei Zhan; Zhi-Wei He; Cheng-Yi Sun
Journal:  Cell Death Dis       Date:  2019-03-08       Impact factor: 8.469

3.  MiR-24-3p Inhibits the Progression of Pancreatic Ductal Adenocarcinoma Through LAMB3 Downregulation.

Authors:  Wenjie Huang; Jianyou Gu; Tian Tao; Junfeng Zhang; Huaizhi Wang; Yingfang Fan
Journal:  Front Oncol       Date:  2020-01-21       Impact factor: 6.244

4.  Genome-wide CRISPR/Cas9 library screen identifies PCMT1 as a critical driver of ovarian cancer metastasis.

Authors:  Jingjing Zhang; Yun Li; Hua Liu; Jiahui Zhang; Jie Wang; Jia Xia; Yu Zhang; Xiang Yu; Jinyan Ma; Masha Huang; Jiahui Wang; Liangzhe Wang; Qian Li; Rutao Cui; Wen Yang; Yingjie Xu; Weiwei Feng
Journal:  J Exp Clin Cancer Res       Date:  2022-01-15

5.  The prognostic and clinical significance of IFI44L aberrant downregulation in patients with oral squamous cell carcinoma.

Authors:  Deming Ou; Ying Wu
Journal:  BMC Cancer       Date:  2021-12-13       Impact factor: 4.430

6.  AUF1 Promotes Proliferation and Invasion of Thyroid Cancer via Downregulation of ZBTB2 and Subsequent TRIM58.

Authors:  Xin Du; Jia-Mei Wang; Da-Lin Zhang; Tong Wu; Xiao-Yan Zeng; Jing-Yi Jiang; Zhen-Xian Du
Journal:  Front Oncol       Date:  2021-06-16       Impact factor: 6.244

7.  An Integrated Microarray Analysis Reveals Significant Diagnostic and Prognostic Biomarkers in Pancreatic Cancer.

Authors:  Zhi-Qiang Yang; Yu-Jian Liu; Xiao-Lei Zhou
Journal:  Med Sci Monit       Date:  2020-04-01
  7 in total

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