Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma

Junfeng GUO; Junfeng GUO; Gang ZHANG; Yinghui TAN

doi:10.16016/j.1000-5404.202004111

您当前的位置：

首页 >

文章列表页 >

Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma

Clinical Medicine | 更新时间：2026-01-09

- Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
- Journal of Third Military Medical University Vol. 42, Issue 18, Pages: 1836-1841(2020)
- 作者机构：
  
  1.400037 重庆, 陆军军医大学(第三军医大学)第二附属医院口腔科
  2.400038 重庆, 陆军军医大学(第三军医大学)第一附属医院骨科运动医学中心
- 作者简介：
- 基金信息：
  
  the Talent Support Program of Army Medical University （Third Military Medical University）(2019)
- DOI：10.16016/j.1000-5404.202004111
  CLC： R195.1; R394.3; R739.85
- Received：12 April 2020，
  
  Revised：2020-06-28，
  
  Published：30 September 2020
- 稿件说明：
移动端阅览
Junfeng GUO, Junfeng GUO, Gang ZHANG, et al. Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma[J]. Journal of Third Military Medical University, 2020, 42(18): 1836-1841.
DOI：

Junfeng GUO, Junfeng GUO, Gang ZHANG, et al. Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma[J]. Journal of Third Military Medical University, 2020, 42(18): 1836-1841. DOI： 10.16016/j.1000-5404.202004111.

摘要

目的

建立口腔鳞状细胞癌(oral squamous cell carcinoma

OSCC)增殖相关基因(proliferation-associated differentially expressed genes

PADEGs)风险回归模型，评估患者预后情况。

方法

从MSigDB数据库中收集了1 899个增殖相关基因，在TCGA数据库中下载OSCC患者基因表达及临床数据，将OSCC患者按照7:3的比例分到训练组和验证组，通过Wilcoxon秩和检验获得了癌和癌旁组织中表达有差异的PADEGs，通过单因素Cox分析、Lasso回归分析，构建增殖相关基因风险回归模型，并通过生存分析、独立预后分析评估该模型的准确性。将验证组OSCC患者数据代入模型进行验证。

结果

筛选出了8个建模基因(APP、STC1、SFRP1、ABCB1、HPRT1、ZAP70、ST8SIA1、ADGRG1)，构建了风险回归模型。具有高风险评分的OSCC患者预后较差(

0.01)，该增殖相关基因风险回归模型评分可作为OSCC患者独立预后因素(

0.01)。

结论

成功建立了口腔鳞状细胞癌增殖相关基因风险回归模型，它可能在口腔鳞状细胞癌患者临床干预和管理中成为可靠的预后指标。

Abstract

Objective

To establish a risk regression model based on proliferation-related genes in oral squamous cell carcinoma (OSCC) for evaluating the prognosis of patients with OSCC.

Methods

We retrieved 1 899 proliferation-related genes from the Molecular Signatures Database (MSigDB) and down-loaded from Cancer Genome Atlas (TCGA) the gene expression and clinical data of OSCC patients

who were randomly divided into the training group and validation group at the ratio of 7:3. The proliferation-associated differentially expressed genes (PADEGs) between OSCC and adjacent tissues were identified by Wilcoxon test. The proliferation-related gene risk regression model was constructed by single factor Cox analysis and Lasso regression analysis

and the accuracy of the model was evaluated through survival analysis and independent prognosis analysis. The constructed model was further verified using the data of OSCC patients in the validation group.

Results

Eight genes (APP

STC1

SFRP1

ABCB1

HPRT1

ZAP70

ST8SIA1

and ADGRG1) were screened for construction of the risk regression model. The OSCC patients with high risk scores calculated with the constructed model had significantly poorer prognosis (

0.01). The score of the risk regression model based on the proliferation-related genes was an independent prognostic factor in OSCC patients (

0.01).

Conclusion

The proliferation-related gene risk regression model provides a reliable means for evaluating the prognosis of OSCC patients to facilitate clinical interventions and management of the patients.

关键词

Keywords

references

CHI A C, DAY T A, NEVILLE B W. Oral cavity and oropharyngeal squamous cell carcinoma: an update[J]. CA Cancer J Clin, 2015, 65(5): 401-421. DOI: 10.3322/caac.21293.

CHATURVEDI A K, ANDERSON W F, LORTET-TIEULENT J, et al . Worldwide trends in incidence rates for oral cavity and oropharyngeal cancers[J ] . J Clin Oncol, 2013, 31(36): 4550-4559. DOI: 10.1200/JCO.2013.50.3870.

DISSANAYAKA W L, PITIYAGE G, KUMARASIRI P V, et al . Clinical and histopathologic parameters in survival of oral squamous cell carcinoma[J ] . Oral Surg Oral Med Oral Pathol Oral Radiol, 2012, 113(4): 518-525. DOI: 10.1016/j.oooo.2011.11.001.

GENG F X, ZHANG Y J, LU Z, et al . Fusobacterium nucleatum caused DNA damage and promoted cell proliferation by the Ku70/p53 pathway in oral cancer cells[J ] . DNA Cell Biol, 2020, 39(1): 144-151. DOI: 10.1089/dna.2019.5064.

TIAN L, ZHANG Y, WANG Y, et al . Triptolide reduces proliferation and enhances apoptosis in drug-resistant human oral cancer cells[J ] . Int J Clin Exp Pathol, 2019, 12(4): 1204-1213.

LI Y Y, TAO Y W, GAO S, et al . Cancer-associated fibroblasts contribute to oral cancer cells proli feration and metastasis via exosome-mediated paracrine miR-34a-5p[J ] . EBio Medicine, 2018, 36: 209-220. DOI: 10.1016/j.ebiom.2018.09.006..

PARK H S, PARK J S, CHUN Y J, et al . Prognostic factors and scoring model for survival in metastatic biliary tract cancer[J ] . Cancer Res Treat, 2017, 49(4): 1127-1139. DOI: 10.4143/crt.2016.538.

HUANG R, MAO M, LU Y, et al . A novel immune-related genes prognosis biomarker for melanoma: associated with tumor microenvironment[J ] . Aging (Albany NY), 2020, 12(8): 6966-6980. DOI: 10.18632/aging.103054.

YANG J, CHEN S, YANG Y, et al . Jumonji domain-containing protein 6 protein and its role in cancer[J ] . Cell Prolif, 2020, 53(2): e12747. DOI: 10.1111/cpr.12747.

YING Y, LI J, XIE H, et al . CCND1, NOP14 and DNMT3B are involved in miR-502-5p-mediated inhibition of cell migration and proliferation in bladder cancer[J ] . Cell Prolif, 2020, 53(2): e12751. DOI: 10.1111/cpr.12751.

XU Y, ZOU R, WANG J, et al . The role of the cancer testis antigen PRAME in tumorigenesis and immunotherapy in human cancer[J ] . Cell Prolif, 2020, 53(3): e12770. DOI: 10.1111/cpr.12770.

LIM S, YOO B K, KIM H S, et al . Amyloid-β precursor protein promotes cell proliferation and motility of advanced breast cancer[J ] . BMC Cancer, 2014, 14: 928. DOI: 10.1186/1471-2407-14-928.

DANISH RIZVI S M, HUSSAIN T, SUBAIEA G M, et al . Therapeutic targeting of amyloid precursor protein and its processing enzymes for breast cancer treatment[J ] . Curr Protein Pept Sci, 2018, 19(9): 841-849. DOI: 10.2174/1389203718666170828123924.

KO S Y, LIN S C, CHANG K W, et al . Increased expression of amyloid precursor protein in oral squamous cell carcinoma[J ] . Int J Cancer, 2004, 111(5): 727-732. DOI: 10.1002/ijc.20328.

CHANG A C, DOHERTY J, HUSCHTSCHA L I, et al . STC1 expression is associated with tumor growth and metastasis in breast cancer[J ] . Clin Exp Metast, 2015, 32(1): 15-27. DOI: 10.1007/s10585-014-9687-9.

ZHANG T, WU Y, FANG Z, et al . Low expression of RBMS3 and SFRP1 are associated with poor prognosis in patients with gastric cancer[J ] . Am J Cancer Res, 2016, 6(11): 2679-2689 .

DELOU J M A, VIGNAL G M, ÍNDIO-DO-BRASIL V, et al . Loss of constitutive expression in breast cancer associated with worse prognosis[J ] . Breast Cancer(Dove Med Press), 2017, 9: 415-428. DOI: 10.2147/BCTT.S131284.

TOWNSEND M H, ROBISON R A, O'NEILL K L. A review of HPRT and its emerging role in cancer[J]. Med Oncol, 2018, 35(6): 89. DOI: 10.1007/s12032-018-1144-1.

FU D, LIU B, ZANG L E, et al . MiR-631/ZAP70: A novel axis in the migration and invasion of prostate cancer cells[J ] . Biochem Biophys Res Commun, 2016, 469(3): 345-351. DOI: 10.1016/j.bbrc.2015.11.093.

SHAN Y, LIU Y, ZHAO L, et al . MicroRNA-33a and let-7e inhibit human colorectal cancer progression by targeting ST8SIA1[J ] . Int J Biochem Cell Biol, 2017, 90: 48-58. DOI: 10.1016/j.biocel.2017.07.016.

JI B, FENG Y, SUN Y, et al . GPR56 promotes proliferation of colorectal cancer cells and enhances metastasis via epithelial mesenchymal transition through PI3K/AKT signaling activation[J ] . Oncol Rep, 2018, 40(4): 1885-1896. DOI: 10.3892/or.2018.6582.

WU C, YANG M, CHEN H. Inhibition effect of miR-150 on the progression of oral squamous cell carcinoma by data analysis model based on independent sample T-test[J]. Saudi J Biol Sci, 2020, 27(2): 599-605. DOI: 10.1016/j.sjbs.2019.11.022.

MERMOD M, JOURDAN E F, GUPTA R, et al . Development and validation of a multivariable prediction model for the identification of occult lymph node metastasis in oral squamous cell carcinoma[J ] . Head Neck, 2020. DOI: 10.1002/hed.26105.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Expression of β-arrestin1 in oral squamous cell carcinoma and its effect on cell proliferation, migration and invasion

Expression of MED28 in oral squamous cell carcinoma and para-carcinoma tissues and its correlation with clinical characteristics

A novel estrogen receptor expression stratification (low/moderate/high) based on Chinese population provides more accurate prognosis prediction for HR⁺/HER2^- early breast cancer patients

DLGAP5 promotes progression of oral squamous cell carcinoma by regulating the Warburg effect

Expression of miR-616 in osteosarcoma and its role in proliferation, apoptosis, migration and invasion of tumor cells

Related Author

HAO Xiaohui

CHEN Min

WU Nan

DING Yunshan

ZHU Lifan

DAI Haitao

项钊

吕俊

Related Institution

School of Medicine， Shihezi University

Department of Stomatology， the First Affiliated Hospital of Shihezi University

Department of Breast and Thyroid Surgery， First Affiliated Hospital， Army Medical University （Third Military Medical University）

Department of Oral and Maxillofacial Surgery， the First Affiliated Hospital of Shihezi University

Department of Oral and Maxillofacial Surgery， Jinan Third People’s Hospital

⁰