Gastric AdenocarcinomaGACNCT05319392
Transcriptomic Signatures in Gastric Adenocarcinoma
An observational study of Gastric Adenocarcinoma, run by Sanjay Gandhi Postgraduate Institute of Medical Sciences at 1 site in India.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- Gastric Adenocarcinoma
- What is being tested?
- Observational study
- How many people
- 48 participants
- Where
- 1 siteIndia
- Study dates
- 6 Aug 2021to 6 Oct 2025
- How long will I take part?
- 2 Years
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- Adult, Older adult
Study population: Subjects diagnosed with distal Gastric Adenocarcinoma at SGPGIMS will be recruited for this study
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
Shalini Singh contact
India1 site, 1 recruiting
- Recruiting
Sanjay Gandhi Postgraduate Institute of Medical Sciences
Lucknow, Uttar Pradesh, 226014
Raghavendra Lingaiah, +91-522-2494250, raghulingaiah@gmail.com
Shalini Singh, shal_singh@yahoo.co.uk
About this study
Official title: Exploring the Transcriptomic Signatures and Their Relevance in Gastric Adenocarcinoma
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.
Read the 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.
- Conditions
- Gastric Adenocarcinoma
- Being tested
- Observational study
- Keywords
- Gastric cancer, Tumor microenvironment, Transcriptomics, Differential gene expression
- Medical subject headings
- Stomach Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Observational studyDiagnostic test
Exploration of transcriptomic signatures related to tumor microenvironment having a significant role in prognosis of gastric adenocarcinoma patients
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Diagnostic Test: Observational study |
What is being measured
The primary outcome is the main question the study is designed to answer.
Transcriptome profiling of Gastric adenocarcinoma
To obtain gene expression data of cancerous and normal tissue through RNA - sequencing
Measured: Range of 6 months to 5 years of patient recruitment
Differential gene expression analysis in Gastric adenocarcinoma
To determine differentially expressed gene between tumor and normal tissue through bioinformatic analysis of gene expression data
Measured: Range of 6 months to 5 years of patient recruitment
Influence of tumor microenvironment on gene expression profile of gastric adenocarcinoma
To identify tumor microenvironment related genes and their functional annotation using bioinformatic packages
Measured: Range of 6 months to 5 years of patient recruitment
Correlation of tumor microenvironment related genes with patient's clinical features
To correlate differentially expressed tumor microenvironment related gene with outcome in patients to identify genes significantly related with overall survival
Measured: Range of 6 months to 5 years of patient recruitment
Secondary outcomes (1)
Patient risk stratification based on correlation between gene expression and overall survival
To stratify patients based on gene signatures related to overall survival in gastric adenocarcinoma patients
Measured: Range of 6 months to 5 years of patient recruitment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Apr 2022
- Study start6 Aug 2021
- Primary completion6 Apr 2025 (estimated)
- Study completion6 Oct 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (6)Papers the sponsor has linked to this study.
- Other trials for Gastric AdenocarcinomaStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case only
- Time perspective
- Prospective
- Enrolment
- 48 participants (estimated)
- Target duration
- 2 Years
Sponsor and investigators
- Lead sponsor
- Sanjay Gandhi Postgraduate Institute of Medical Sciences
- Sponsor type
- Other government
- Responsible party
- Principal investigator, raghavendra, Sanjay Gandhi Postgraduate Institute of Medical Sciences
- Investigators
- Raghavendra Lingaiah, Principal investigator, SGPGIMS
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05319392
- Sponsor's protocol ID
- 2021-240-PhD-EXP-42
- Acronym
- GAC
- Status last verified
- Apr 2022
- First submitted
- 31 Mar 2022
- Last updated
- 15 Apr 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
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.
PubMed 30264431Zhang 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.
PubMed 32969836Qiu 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.
PubMed 32879664Ren 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.
PubMed 33015704Cai 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.
PubMed 32754268Li 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.
PubMed 29921304
Study at a glance
From the registry record, last updated by the sponsor on 15 Apr 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Exploring the Transcriptomic Signatures and Their Relevance in Gastric Adenocarcinoma
- ClinicalTrials.gov ID
- NCT05319392
- Acronym / sponsor ID
- GAC / 2021-240-PhD-EXP-42
- Conditions
- Gastric Adenocarcinoma
- Keywords
- Gastric cancer, Tumor microenvironment, Transcriptomics, Differential gene expression
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 48 participants (estimated)
- Lead sponsor
- Sanjay Gandhi Postgraduate Institute of Medical SciencesOther government
- Study start
- 6 Aug 2021 (actual)
- Primary completion
- 6 Apr 2025 (estimated)
- Study completion
- 6 Oct 2025 (estimated)
- First posted
- 8 Apr 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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 design
- Observational model
- Case only
- Time perspective
- Prospective
- Target follow-up
- 2 Years
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Patients with Gastric Adenocarcinoma | – | Diagnostic Test: Observational studyPatients 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. |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Age groups
- Adult, Older adult
- Study population
- Subjects diagnosed with distal Gastric Adenocarcinoma at SGPGIMS will be recruited for this study
Key inclusion criteria (4 listed)
- 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
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Observational studyExploration of transcriptomic signatures related to tumor microenvironment having a significant role in prognosis of gastric adenocarcinoma patients | Diagnostic test | Patients with Gastric Adenocarcinoma |
Primary outcome
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
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
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
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
1 secondary outcome
Patient risk stratification based on correlation between gene expression and overall survival
Time frame: Range of 6 months to 5 years of patient recruitment
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Apr 2022.
- Background: PubMed 30264431Ahn 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.
- Background: PubMed 32969836Zhang 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.
- Background: PubMed 32879664Qiu 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.
- Background: PubMed 33015704Ren 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.
- Background: PubMed 32754268Cai 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.
- Background: PubMed 29921304Li 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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Shalini Singh contact
Raghavendra Lingaiah principal investigator
SGPGIMS
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Gastric Adenocarcinoma, run by Sanjay Gandhi Postgraduate Institute of Medical Sciences at 1 site in India.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 15 Apr 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in India. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Raghavendra Lingaiah (+91-522-2494250, raghulingaiah@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Transcriptome profiling of Gastric adenocarcinoma (time frame: Range of 6 months to 5 years of patient recruitment). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05319392, which also lists 6 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Apr 2022.