bioRxivGeneticsPreprint
Transcriptional Signatures of Field Cancerization in Gastric Cancer
Jéssica Manoelli Costa da SilvaiD, Ronald Matheus da Silva MourãoiD, Juliana Barreto Albuquerque PintoiD, Diego PereiraiD, Valéria Cristiane Santos da SilvaiD, Kaue Sant Ana Pereira GuimaraesiD, Ana Karyssa Mendes AnaissiiD, Sâmia DemachkiiD, Williams Fernandes BarraiD, Samir Mansour Moraes CassebiD, Fabiano Cordeiro MoreiraiD, Rommel Mário Rodríguez BurbanoiD, Paulo Pimentel AssumpcãoiD
Abstract
The high rate of local recurrence in gastric adenocarcinoma (GA) suggests that carcinogenesis is not a focal event but a field-wide process. This phenomenon, known as "field cancerization," posits that histologically normal peritumoral tissue is, in fact, a pre-neoplastic field harboring incipient molecular alterations that confound genomic studies using it as a normal control. To overcome this limitation, we performed a three-way comparative transcriptomic analysis of tumor, peritumoral, and true-normal gastric tissues using a deep learning framework. We identified a stable 138-gene signature established within the peritumoral field and conserved in the tumor, which was absent in healthy controls. Within this signature, three key COSMIC-listed driver genes were highlighted: the Hippo pathway component FAT4 and the p53-inhibitor MDM4 were upregulated, while the EMT-suppressor NDRG1 was repressed. Co-expression analysis revealed a dynamic rewiring of these drivers, with a significant positive correlation between FAT4 and MDM4 emerging exclusively in the peritumoral field. In contrast, a negative correlation between FAT4 and NDRG1 was observed specifically in the tumor context. In public cohorts, high expression of FAT4 and MDM4 was significantly associated with poor patient prognosis, whereas NDRG1 showed no prognostic association. Critically, the prognostic power of MDM4 was validated in our local patient cohort. Our findings demonstrate that the peritumoral field is a molecularly distinct state in gastric carcinogenesis, characterized by a metabolic shift, and identify FAT4 and MDM4 as key drivers of this early transition, with significant potential as prognostic biomarkers.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: protein structure prediction
- research focus: gene regulatory network inference
- approach: deep learning
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Molecular and Structural Reprogramming of Gastric Cancer Revealed by Systems-Level Transcriptomic Analysis
Negar Mottaghi-Dastjerdi, Mohammad Soltany‐Rezaee‐Rad·PLoS ONEPeer-reviewed·May 21, 2026
- FERROPTOSIS GENE SIGNATURES REVEAL DISTINCT REGULATORY LANDSCAPES IN GASTRIC ADENOCARCINOMA AND OTHER TISSUES
Sérgio Augusto Antunes Ramos, Thaynara Pereira de Abreu, … Paulo Pimentel de Assumpção·bioRxiv·Sep 11, 2025
- EXPRESSION INSIGHTS INTO GASTRIC ADENOCARCINOMA: NETWORK ANALYSIS REVEALS KEY HUB GENES AND FUNCTIONAL MODULES
Ronald Matheus da Silva Mourão, Fabiano Cordeiro Moreira, … Paulo Pimentel de Assumpção·bioRxiv·Aug 27, 2025
- Integrated Expression Analysis of C-MYC Oncogene-Associated Pathways in Gastric Adenocarcinoma and its Correlation with Clinicopathological Factors
Kaue Sant Ana Pereira Guimaraes, Murilo Filho Pereira Marinho, … Paulo Pimentel Assumpcão·bioRxiv·Sep 11, 2025
- Molecular Insights into ANPEP in Gastric Adenocarcinoma
Tamires Tavares de Araújo, Bianca de Fátima dos Reis Rodrigues, … Paulo Pimentel de Assumpção·Genetics and Molecular BiologyPeer-reviewed·Jan 1, 2026
- GASTRIC CANCER BASED ON TRANSCRIPTION FACTORS
Aline Gonçalves da Costa, Kaue Sant Ana Pereira Guimaraes, … Paulo Pimentel Assumpcão·bioRxiv·Sep 7, 2025