- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05319392
Transcriptomic Signatures in Gastric Adenocarcinoma (GAC)
Exploring the Transcriptomic Signatures and Their Relevance in Gastric Adenocarcinoma
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
This study on Gastric adenocarcinoma is retrospective as well as prospective that will be conducted at SGPGIMS, Lucknow, India. Patients undergoing gastric resection at the department of surgical gastroenterology who are diagnosed with GAC based on the endoscopic biopsy in the department of pathology will be recruited for the study. For the retrospective part of study, cases will be selected based on histological findings retrieved from hospital information system and patient records.
For sample collection, surgically resected fresh specimens will be collected in RNAlater and stored at -80⁰C. Archived formalin fixed paraffin embedded (FFPE) tissue blocks for retrospective cases will be retrieved and reviewed histopathologically. After a confirmed diagnosis of GAC, tissues will be processed to obtain tumor and normal tissue for experimental part.
RNA from the tumor and normal area will be extracted from FFPE blocks and fresh tissue specimens. Whole transcriptomic next generation sequencing will be performed after successful quality check, library preparation and amplification. The gene expression data obtained from sequencing will be bioinformatically analyzed to elucidate differential gene expression between tumor and adjacent normal tissue in relation to TME. The significantly differentially expressed genes between the tumor and normal areas will be annotated and identified using bioinformatic packages for gene annotation. Using statistical analysis, the differentially expressed genes will be correlated with the patient's clinical features and outcome to identify TME genes with significant prognostic value.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Raghavendra Lingaiah
- Phone Number: +91-522-2494250
- Email: raghulingaiah@gmail.com
Study Contact Backup
- Name: Shalini Singh
- Email: shal_singh@yahoo.co.uk
Study Locations
-
-
Uttar Pradesh
-
Lucknow, Uttar Pradesh, India, 226014
- Recruiting
- Sanjay Gandhi Postgraduate Institute of Medical Sciences
-
Contact:
- Raghavendra Lingaiah
- Phone Number: +91-522-2494250
- Email: raghulingaiah@gmail.com
-
Contact:
- Shalini Singh
- Email: shal_singh@yahoo.co.uk
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Patients with Gastric Adenocarcinoma
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.
|
Exploration of transcriptomic signatures related to tumor microenvironment having a significant role in prognosis of gastric adenocarcinoma patients
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Transcriptome profiling of Gastric adenocarcinoma
Time Frame: Range of 6 months to 5 years of patient recruitment
|
To obtain gene expression data of cancerous and normal tissue through RNA - sequencing
|
Range of 6 months to 5 years of patient recruitment
|
|
Differential gene expression analysis in Gastric adenocarcinoma
Time Frame: Range of 6 months to 5 years of patient recruitment
|
To determine differentially expressed gene between tumor and normal tissue through bioinformatic analysis of gene expression data
|
Range of 6 months to 5 years of patient recruitment
|
|
Influence of tumor microenvironment on gene expression profile of gastric adenocarcinoma
Time Frame: Range of 6 months to 5 years of patient recruitment
|
To identify tumor microenvironment related genes and their functional annotation using bioinformatic packages
|
Range of 6 months to 5 years of patient recruitment
|
|
Correlation of tumor microenvironment related genes with patient's clinical features
Time Frame: Range of 6 months to 5 years of patient recruitment
|
To correlate differentially expressed tumor microenvironment related gene with outcome in patients to identify genes significantly related with overall survival
|
Range of 6 months to 5 years of patient recruitment
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Patient risk stratification based on correlation between gene expression and overall survival
Time Frame: Range of 6 months to 5 years of patient recruitment
|
To stratify patients based on gene signatures related to overall survival in gastric adenocarcinoma patients
|
Range of 6 months to 5 years of patient recruitment
|
Collaborators and Investigators
Investigators
- Principal Investigator: Raghavendra Lingaiah, SGPGIMS
Publications and helpful links
General Publications
- Ahn 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.
- Zhang 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.
- Qiu 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.
- Ren 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.
- Cai 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.
- Li 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2021-240-PhD-EXP-42
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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