Clinical trial · Observational
Transcriptomic Signatures in Gastric Adenocarcinoma
Exploring the Transcriptomic Signatures and Their Relevance in Gastric Adenocarcinoma
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Gastric Adenocarcinoma (GAC) accounting for the major percentage of all stomach malignancies is associated with a poor overall survival of 25-30% despite the advancement in treatment strategies. Several factors associated with tumor microenvironment (TME) are thought to play an important role in tumorigenesis and acquired chemoresistance to therapies that are not otherwise addressed by the comprehensive molecular classification of GAC given by TCGA and ACRG. In the present study investigators intend to do transcriptome profiling of GAC tumor tissue and adjacent normal tissue to investigate differentially expressed genes between the two in relation to TME which might help in identification of gene signatures that are clinically relevant with survival outcome in Gastric Adenocarcinoma.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Gastric Adenocarcinoma | Gastric Adenocarcinoma | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Observational study | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Patients with Gastric Adenocarcinoma
- description
- Patients with origin of tumor in distal part of stomach who underwent total or partial gastrectomy after biopsy examination with availability of follow-up and archived FFPE tissue will be considered for this study.
- interventionNames
- Diagnostic Test: Observational study
Primary outcomes (4)
- measure
- Transcriptome profiling of Gastric adenocarcinoma
- timeFrame
- Range of 6 months to 5 years of patient recruitment
- description
- To obtain gene expression data of cancerous and normal tissue through RNA - sequencing
- measure
- Differential gene expression analysis in Gastric adenocarcinoma
- timeFrame
- Range of 6 months to 5 years of patient recruitment
- description
- To determine differentially expressed gene between tumor and normal tissue through bioinformatic analysis of gene expression data
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 80 Years
Show eligibility criteria text
Inclusion Criteria: * Patients with origin of tumor in distal part of stomach * Patients who underwent Total or partial Gastrectomy after Biopsy examination * Availability of follow up in Radiotherapy or Gastro department * Availability of FFPE gastrectomy specimen tissue of selected cases in Histopathology Exclusion Criteria: * Patients with origin of tumor in proximal part of stomach * Patients with only biopsy available * Patients whose follow-up is not available * Unavailability of FFPE tissue blocks
References
Publications (6)
- BACKGROUNDAhn B, Chae YS, Kim CH, Lee Y, Lee JH, Kim JY. Tumor microenvironmental factors have prognostic significances in advanced gastric cancer. APMIS. 2018 Oct;126(10):814-821. doi: 10.1111/apm.12889. PMID 30264431
- BACKGROUNDZhang S, Zeng Z, Liu Y, Huang J, Long J, Wang Y, Peng X, Hu Z, Ouyang Y. Prognostic landscape of tumor-infiltrating immune cells and immune-related genes in the tumor microenvironment of gastric cancer. Aging (Albany NY). 2020 Sep 23;12(18):17958-17975. doi: 10.18632/aging.103519. Epub 2020 Sep 23. PMID 32969836
- BACKGROUNDQiu XT, Song YC, Liu J, Wang ZM, Niu X, He J. Identification of an immune-related gene-based signature to predict prognosis of patients with gastric cancer. World J Gastrointest Oncol. 2020 Aug 15;12(8):857-876. doi: 10.4251/wjgo.v12.i8.857. PMID 32879664
- BACKGROUNDRen N, Liang B, Li Y. Identification of prognosis-related genes in the tumor microenvironment of stomach adenocarcinoma by TCGA and GEO datasets. Biosci Rep. 2020 Oct 30;40(10):BSR20200980. doi: 10.1042/BSR20200980. PMID 33015704
- BACKGROUNDCai WY, Dong ZN, Fu XT, Lin LY, Wang L, Ye GD, Luo QC, Chen YC. Identification of a Tumor Microenvironment-relevant Gene set-based Prognostic Signature and Related Therapy Targets in Gastric Cancer. Theranostics. 2020 Jul 9;10(19):8633-8647. doi: 10.7150/thno.47938. eCollection 2020. PMID 32754268
- BACKGROUNDLi T, Gao X, Han L, Yu J, Li H. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis. World J Surg Oncol. 2018 Jun 19;16(1):114. doi: 10.1186/s12957-018-1409-3. PMID 29921304