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Patil S, Islam F, Gopalan V. Diagnostic and Prognostic Implications of Cancer Stem Cell Transcription Factors. CANCER STEM CELLS: BASIC CONCEPT AND THERAPEUTIC IMPLICATIONS 2023:325-347. [DOI: 10.1007/978-981-99-3185-9_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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Saberi S, Esmaeili M, Tashakoripour M, Eshagh Hosseini M, Baharvand H, Mohammadi M. Infection with a hypervirulent strain of Helicobacter pylori primes gastric cells toward intestinal transdifferentiation. Microb Pathog 2021; 162:105353. [PMID: 34896202 DOI: 10.1016/j.micpath.2021.105353] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/05/2021] [Accepted: 12/05/2021] [Indexed: 12/09/2022]
Abstract
BACKGROUND Intestinal metaplasia, gastric-to-intestinal transdifferentiation, occurs as a result of the misexpression of certain regulatory factors, leading to genetic reprogramming. Here, we have evaluated the H. pylori-induced expression patterns of these candidate genes. METHODS The expression levels of 1) tissue-specific transcription factors (RUNX3, KLF5, SOX2, SALL4, CDX1 and CDX2), 2) stemness factors (TNFRSF19, LGR5, VIL1) and 3) tissue-specific mucins (MUC5AC, MUC2) were evaluated by quantitative real-time PCR in gastric primary cells (GPCs), in parallel with two gastric cancer (MKN45 and AGS) cell lines, up to 96h following H. pylori infection. RESULTS Following H. pylori infection of GPCs, RUNX3 declined at 24h post infection (-6.2 ± 0.3) and remained downregulated for up to 96h. Subsequently, overexpression of self-renewal and pluripotency transcription factors, KLF5 (3.6 ± 0.2), SOX2 (7.6 ± 0.5) and SALL4 (4.3 ± 0.2) occurred. The expression of TNFRSF19 and LGR5, demonstrated opposing trends, with an early rise of the former (4.5 ± 0.3) at 8h, and a simultaneous fall of the latter (-1.8 ± 0.5). This trend was reversed at 96h, with the decline in TNFRSF19 (-5.5 ± 0.2), and escalation of LGR5 (2.6 ± 0.2) and VIL1 (1.8 ± 0.3). Ultimately, CDX1 and CDX2 were upregulated by 1.9 and 4.7-fold, respectively. The above scenario was, variably observed in MKN45 and AGS cells. CONCLUSION Our data suggests an interdependent gene regulatory network, induced by H. pylori infection. This interaction begins with the downregulation of RUNX3, upregulation of self-renewal and pluripotency transcription factors, KLF5, SOX2 and SALL4, leading to the downregulation of TNFRSF19, upregulation of LGR5 and aberrant expression of intestine-specific transcription factors, potentially facilitating the process of gastric-to-intestinal transdifferentiation.
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Affiliation(s)
- Samaneh Saberi
- HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Maryam Esmaeili
- HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran
| | - Mohammad Tashakoripour
- Gastroenterology Department, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahmoud Eshagh Hosseini
- Gastroenterology Department, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Baharvand
- Department of Stem Cells and Developmental Biology at Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran; Department of Developmental Biology, University of Science and Culture, Tehran, Iran
| | - Marjan Mohammadi
- HPGC Research Group, Department of Medical Biotechnology, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
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Wei L, Chen J, Song C, Zhang Y, Zhang Y, Xu M, Feng C, Gao Y, Qian F, Wang Q, Shang D, Zhou X, Zhu J, Wang X, Jia Y, Liu J, Zhu Y, Li C. Cancer CRC: A Comprehensive Cancer Core Transcriptional Regulatory Circuit Resource and Analysis Platform. Front Oncol 2021; 11:761700. [PMID: 34712617 PMCID: PMC8546348 DOI: 10.3389/fonc.2021.761700] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 09/24/2021] [Indexed: 11/30/2022] Open
Abstract
A core transcriptional regulatory circuit (CRC) is a group of interconnected auto-regulating transcription factors (TFs) that form loops and can be identified by super-enhancers (SEs). Studies have indicated that CRCs play an important role in defining cellular identity and determining cellular fate. Additionally, core TFs in CRCs are regulators of cell-type-specific transcriptional regulation. However, a global view of CRC properties across various cancer types has not been generated. Thus, we integrated paired cancer ATAC-seq and H3K27ac ChIP-seq data for specific cell lines to develop the Cancer CRC (http://bio.liclab.net/Cancer_crc/index.html). This platform documented 94,108 cancer CRCs, including 325 core TFs. The cancer CRC also provided the “SE active core TFs analysis” and “TF enrichment analysis” tools to identify potentially key TFs in cancer. In addition, we performed a comprehensive analysis of core TFs in various cancer types to reveal conserved and cancer-specific TFs.
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Affiliation(s)
- Ling Wei
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.,The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Jiaxin Chen
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Chao Song
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.,The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Yuexin Zhang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Yimeng Zhang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Mingcong Xu
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Chenchen Feng
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Yu Gao
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Fengcui Qian
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.,The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Qiuyu Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.,The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.,School of Computer, University of South China, Hengyang, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, China
| | - Desi Shang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.,School of Computer, University of South China, Hengyang, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, China
| | - Xinyuan Zhou
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Jiang Zhu
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Xiaopeng Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Yijie Jia
- School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China
| | - Jiaqi Liu
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.,School of Computer, University of South China, Hengyang, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, China
| | - Yanbing Zhu
- Experimental and Translational Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.,Beijing Clinical Research Institute, Beijing, China
| | - Chunquan Li
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, China.,School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing, China.,Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.,School of Computer, University of South China, Hengyang, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, China.,General Surgery Department, Beijing Friendship Hospital, Capital Medical University, Beijing, China.,Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, China
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Ribeirinho-Soares S, Pádua D, Amaral AL, Valentini E, Azevedo D, Marques C, Barros R, Macedo F, Mesquita P, Almeida R. Prognostic significance of MUC2, CDX2 and SOX2 in stage II colorectal cancer patients. BMC Cancer 2021; 21:359. [PMID: 33823840 PMCID: PMC8025574 DOI: 10.1186/s12885-021-08070-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 03/19/2021] [Indexed: 01/09/2023] Open
Abstract
Background Colorectal cancer (CRC) remains a serious health concern worldwide. Despite advances in diagnosis and treatment, about 15 to 30% of stage II CRC patients subjected to tumor resection with curative intent, develop disease relapse. Moreover, the therapeutic strategy adopted after surgery is not consensual for these patients. This supports the imperative need to find new prognostic and predictive biomarkers for stage II CRC. Methods For this purpose, we used a one-hospital series of 227 stage II CRC patient samples to assess the biomarker potential of the immunohistochemical expression of MUC2 mucin and CDX2 and SOX2 transcription factors. The Kaplan-Meier method was used to generate disease-free survival curves that were compared using the log-rank test, in order to determine prognosis of cases with different expression of these proteins, different mismatch repair (MMR) status and administration or not of adjuvant chemotherapy. Results In this stage II CRC series, none of the studied biomarkers showed prognostic value for patient outcome. However low expression of MUC2, in cases with high expression of CDX2, absence of SOX2 or MMR-proficiency, conferred a significantly worst prognosis. Moreover, cases with low expression of MUC2 showed a significantly clear benefit from treatment with adjuvant chemotherapy. Conclusion In conclusion, we observe that patients with stage II CRC with low expression of MUC2 in the tumor respond better when treated with adjuvant chemotherapy. This observation supports that MUC2 is involved in resistance to fluorouracil-based adjuvant chemotherapy and might be a promising future predictive biomarker in stage II CRC patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08070-6.
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Affiliation(s)
- Sara Ribeirinho-Soares
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Diana Pádua
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Ana Luísa Amaral
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Elvia Valentini
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | | | | | - Rita Barros
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal.,Faculty of Medicine, University of Porto, Porto, Portugal
| | - Filipa Macedo
- IPO-C - Instituto Português de Oncologia de Coimbra Francisco Gentil, E. P. E, Coimbra, Portugal
| | - Patrícia Mesquita
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal.,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal
| | - Raquel Almeida
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal. .,IPATIMUP - Institute of Molecular Pathology and Immunology, University of Porto, Porto, Portugal. .,Faculty of Medicine, University of Porto, Porto, Portugal. .,Biology Department, Faculty of Sciences of the University of Porto, Porto, Portugal.
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Zhao G, Wang X, Qu L, Zhu Z, Hong J, Hou H, Li Z, Wang J, Lv Z. The Clinical and Molecular Characteristics of Sex-Determining Region Y-Box 2 and its Prognostic Value in Breast Cancer: A Systematic Meta-Analysis. Breast Care (Basel) 2020; 16:16-26. [PMID: 33716628 DOI: 10.1159/000505806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 01/02/2020] [Indexed: 01/17/2023] Open
Abstract
Objective Transcription factor SOX2 (sex-determining region Y-box 2) has a crucial role in the maintenance of the stem cell state. However, current evidence regarding the role of SOX2 in breast cancer is conflicting. We conducted this meta-analysis to clarify the association of SOX2 expression with clinical and molecular features and its prognostic effect on breast cancer. Methods All relevant articles were searched using electronic databases. The pooled odds ratios (ORs) or hazard ratios (HRs: multivariate Cox survival analysis) with their 95% confidence intervals (CIs) were calculated. Results A final total of 18 studies containing 3,080 patients with breast cancer were included. SOX2 protein expression was not related to age, menopausal status, lymph node metastasis, lymphovascular invasion, molecular estrogen receptor status, progesterone receptor status, triple-negative status, and the overall survival in breast cancer, but was closely associated with advanced tumor grade (grade 3 vs. grade 1-2: OR = 2.74, 95% CI = 1.85-4.06, p < 0.001), clinical stage (stage 3-4 vs. stage 0-2: OR = 2.46, 95% CI = 1.37-4.40, p = 0.002), pT stage (T stage 2-4 vs. T stage 1: OR = 1.52, 95% CI = 1.07-2.17, p = 0.019), molecular human epidermal growth factor receptor 2 (HER2) status (positive vs. negative: OR = 1.61, 95% CI = 1.21-2.14, p = 0.001), epidermal growth factor receptor (EGFR) status (positive vs. negative: OR = 2.21, 95% CI = 1.13-4.33, p = 0.021), and worse disease-free survival (DFS) (HR = 2.66, 95% CI = 1.20-5.91, p = 0.016) of breast cancer. Conclusions SOX2 expression is correlated with breast cancer progression, HER2 status, and EGFR status, and may be an independent prognostic marker for predicting poor DFS.
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Affiliation(s)
- Gang Zhao
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Xiaozhen Wang
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Limei Qu
- Department of Pathology, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Zhu Zhu
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Jinghui Hong
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Haiqin Hou
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Zuonong Li
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Jun Wang
- Department of Breast Surgery, the First Affiliated Hospital of Jilin University, Changchun, China
| | - Zheng Lv
- Cancer Center, the First Affiliated Hospital of Jilin University, Changchun, China
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Clinical and Survival Impact of Sex-Determining Region Y-Box 2 in Colorectal Cancer: An Integrated Analysis of the Immunohistochemical Study and Bioinformatics Analysis. JOURNAL OF ONCOLOGY 2020; 2020:3761535. [PMID: 32104175 PMCID: PMC7040407 DOI: 10.1155/2020/3761535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 11/30/2019] [Accepted: 12/30/2019] [Indexed: 12/24/2022]
Abstract
Transcription factor sex-determining region Y-box 2 (SOX2) involves in the maintenance of cancer stem cells. However, the role of SOX2 in colorectal cancer (CRC) remains unclear. This study was conducted to investigate the effect of SOX2 on CRC. Studies were searched using electronic databases. The combined odds ratios (ORs) or hazard ratios (HRs: multivariate Cox survival analysis) with their 95% confidence intervals (CIs) were calculated. The Cancer Genome Atlas (TCGA) and GEO datasets were further applied to validate the survival effect. The functional analysis of SOX2 was investigated. In this work, 13 studies including 2337 patients were identified, and validation data were enrolled from TCGA and GEO datasets. SOX2 expression was not significantly related to age, gender, microsatellite instability (MSI) status, clinical stage, histological grade, tumor size, pT-stage, lymph node metastasis, distal metastasis, and cancer-specific survival (CSS) but was correlated with worse overall survival (OS: n = 536 patients) (P < 0.05). Furthermore, TCGA data demonstrated similar results, with no significant correlation between SOX2 and pathological characteristics. Further validation data (OS: n = 1408 and disease-free survival (DFS): n = 1367) showed that SOX2 expression was correlated with worse OS (HR = 1.35, 95% CI: 1.11–1.65, P=0.004) and DFS (HR = 1.30, 95% CI: 1.04–1.62, P=0.02). The functional analyses showed that SOX2 involved in cell-cell junction, focal adhesion, extracellular matrix- (ECM-) receptor interaction, and MAP kinase activity. Our findings suggest that SOX2 expression may be correlated with the worse prognosis of CRC.
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Zhang XH, Wang W, Wang YQ, Zhu L, Ma L. The association of SOX2 with clinical features and prognosis in colorectal cancer: A meta-analysis. Pathol Res Pract 2019; 216:152769. [PMID: 31810585 DOI: 10.1016/j.prp.2019.152769] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 11/14/2019] [Accepted: 11/27/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The expression of SOX2 protein has been reported to be correlated with colorectal cancers. In this study, we conducted a meta-analysis to evaluate the association of SOX2 with clinical features and prognosis in colorectal cancer. METHODS The relevant studies up to March 2019 were searched in Two English databases(PubMed and EMBASE)and two Chinese databases (CNKI and Wanfang database). Pooled ORs or HRs were used to assess the strength of the association between SOX2 and clinical parameters. RESULTS 14 studies involving 2077 colorectal cancer patients were included in the meta-analysis. Our results revealed there were no associations between SOX2 and gender and age. However, significant positive associations were observed for N categories (OR = 3.02, 95 %CI = 2.11-4.31), advanced stage (OR = 2.85, 95 %CI = 2.00-4.07), poor differentiation (OR = 1.90, 95 %CI = 1.38-2.64), distant metastasis (OR = 4.66, 95 %CI = 2.77-7.85) and poor OS (HR = 1.49, 95 %CI = 1.09-2.03). CONCLUSION The results indicated that SOX2 protein may serve as a novel prognostic factor for patients with colorectal cancer.
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Affiliation(s)
- Xian-Hui Zhang
- Department of Laboratory Medicine, Children's Hospital of Shanxi Province, Taiyuan, China
| | - Wei Wang
- Department of Laboratory Medicine, Shanxi Provincial People's Hospital, Taiyuan, China
| | - Ya-Qi Wang
- Department of Laboratory Medicine, Children's Hospital of Shanxi Province, Taiyuan, China
| | - Lei Zhu
- Department of Laboratory Medicine, Children's Hospital of Shanxi Province, Taiyuan, China
| | - Lan Ma
- Department of Laboratory Medicine, Children's Hospital of Shanxi Province, Taiyuan, China.
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Yang L, Xu JF, Kang Q, Li AQ, Jin P, Wang X, He YQ, Li N, Cheng T, Sheng JQ. Predictive Value of Stemness Factor Sox2 in Gastric Cancer Is Associated with Tumor Location and Stage. PLoS One 2017; 12:e0169124. [PMID: 28046028 PMCID: PMC5207680 DOI: 10.1371/journal.pone.0169124] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/12/2016] [Indexed: 12/31/2022] Open
Abstract
Cancer stem cells (CSCs) are thought to be the "root" of cancer. Although stemness-related factors ALDH1A1 and Sox2 have been used as markers to identify gastric CSCs, the expression pattern and significance of these factors in gastric cancer have not been sufficiently demonstrated. In this study, the expressions of ALDH1A1 and Sox2 were detected by immunohistochemistry in 122 gastric cancer specimens. And the correlation between Sox2 or ALDH1A1 expression and clinicopathological parameters and overall survival data were analyzed. The positive rate of ALDH1A1 expression was 60%, but there was no significant difference between survival rates of ALDH1A1-positive and ALDH1A1-negative patients. Sox2 was expressed in 42% of specimens and was associated with poor prognosis of patients (P = 0.015). Stratified analysis showed that Sox2 expression correlated with shorter lifespan only in patients with cardiac gastric cancers (P = 0.002) or stage I or II gastric cancers (P = 0.002); but not in patients with non-cardiac cancers (P = 0.556) or stage III or IV gastric cancers (P = 0.121). Analysis on a database cohort validated the correlation between Sox2 expression and poor prognosis in stage II cancer. Also, expression of Sox2 was associated with lymphnode metastasis in patients with cardiac gastric cancer (P = 0.037). A multivariate analysis revealed that Sox2 was an independent prognostic factor in cardiac gastric cancer. Our results indicate that predictive value of Sox2 in gastric cancer is associated with cardiac cancer location and with early cancer stages (I and II).
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Affiliation(s)
- Lang Yang
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
- * E-mail: (JQS); (LY)
| | - Jun-Feng Xu
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
- GraduateCollege, PLA General Hospital, Beijing, China
| | - Qian Kang
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
| | - Ai-Qin Li
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
| | - Peng Jin
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
| | - Xin Wang
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
| | - Yu-Qi He
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
| | - Na Li
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
| | - Tao Cheng
- Department of Pathology, PLA Army General Hospital, Beijing, China
| | - Jian-Qiu Sheng
- Department of Gastroenterology, PLA Army General Hospital, Beijing, China
- * E-mail: (JQS); (LY)
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