Establishment of a prognostic model of ten transcription factors in gastric cancer

Genomics. 2021 Nov;113(6):4075-4087. doi: 10.1016/j.ygeno.2021.10.009. Epub 2021 Oct 22.

Abstract

Transcription factors (TFs) play an important role in tumors. We integrated and analyzed 13 GPL570 platform gastric cancer (GC) microarrays, identified 10 independent prognostic TFs, and constructed a GC prognostic model. Using GSE26942 as the verification set, the Kaplan-Meier curve showed that the signature distinguish the survival rate of GC patients (P < 0.01), and the AUC values are 0.746 and 0.630, respectively. Compared with the clinicopathological characteristics, the signature is an independent prognostic factor (P < 0.05). A nomogram was established based on the model, and the five-year calibration curve verified that the prediction of the nomogram was almost consistent with the actual survival rate, C-index of 0.747 indicated a moderate prognostic ability. The analysis of target genes of 10 TFs showed that they are closely related to the progression of GC. External database and rt-PCR showed that the RNA and protein expression of TFs are consistent with our analysis.

Keywords: Gastric cancer; Nomogram; Prognostic model; Transcription factor.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Nomograms
  • Prognosis
  • Stomach Neoplasms* / genetics
  • Stomach Neoplasms* / pathology
  • Survival Rate
  • Transcription Factors / genetics

Substances

  • Transcription Factors