Infrastructure for Developing Gastrointestinal Cancer Prognostic and Predictive Markers
1 other identifier
observational
N/A
1 country
1
Brief Summary
The proposal seeks to establish:
- A comprehensive compilation (database) of clinical information comprising clinical, histopathological, treatment and follow-up characteristics of past and future gastrointestinal cancer (GIC) cases in Singapore that can be shared by investigators. The characteristics will include clinical (eg age, sex, stage), histopathological (eg. grade, type), treatment (eg. treatment status, regimens) and outcome data (eg. survival, toxicity) from medical records.
- A collection (bank) of corresponding frozen and fixed tissue, blood and processed samples (enriched blood mononuclear cells, protein, RNA, DNA, tissue arrays) in Singapore that can be shared by the investigators.
- A gastrointestinal cancer co-operative group (GCCG) of clinicians and scientists researching prognostic and predictive markers in GIC, which will benefit from the multi-disciplinary knowledge, information and samples of its members.
- To characterise genetic polymorphisms related to Gastrointestinal cancer chemotherapy treatment in controls (healthy volunteers)
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 14, 2008
CompletedFirst Posted
Study publicly available on registry
July 16, 2008
CompletedStudy Start
First participant enrolled
September 1, 2012
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2014
CompletedMarch 5, 2014
March 1, 2014
2.2 years
July 14, 2008
March 3, 2014
Conditions
Study Arms (1)
1
Patients with cancers of the gastrointestinal tract (eg. colorectal, gastric, pancreatic, esophageal)
Eligibility Criteria
To examine associations between candidate markers and patient response, toxicity and other clinicopathological characteristics, standard descriptive statistics will be used, according to the variable type (e.g. continuous, discrete, parametric, non-parametric). Associations with patient outcome will be assessed by Kaplan Meier analysis and independence examined in multivariate models by Cox proportional hazard analysis. To discriminate prognostic and predictive significance, outcome associations of candidate markers will be examined with respect to the treatment status of cohorts as outlined in the "Introduction" and as performed previously.
You may qualify if:
- Patients with cancers of the gastrointestinal tract (eg. colorectal, gastric, pancreatic, esophageal)
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National University Hospital
Singapore, Singapore
Related Publications (3)
Soong R, Robbins PD, Dix BR, Grieu F, Lim B, Knowles S, Williams KE, Turbett GR, House AK, Iacopetta BJ. Concordance between p53 protein overexpression and gene mutation in a large series of common human carcinomas. Hum Pathol. 1996 Oct;27(10):1050-5. doi: 10.1016/s0046-8177(96)90282-8.
PMID: 8892589BACKGROUNDSoong R, Powell B, Elsaleh H, Gnanasampanthan G, Smith DR, Goh HS, Joseph D, Iacopetta B. Prognostic significance of TP53 gene mutation in 995 cases of colorectal carcinoma. Influence of tumour site, stage, adjuvant chemotherapy and type of mutation. Eur J Cancer. 2000 Oct;36(16):2053-60. doi: 10.1016/s0959-8049(00)00285-9.
PMID: 11044641BACKGROUNDMattison LK, Soong R, Diasio RB. Implications of dihydropyrimidine dehydrogenase on 5-fluorouracil pharmacogenetics and pharmacogenomics. Pharmacogenomics. 2002 Jul;3(4):485-92. doi: 10.1517/14622416.3.4.485.
PMID: 12164772BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ross Andrew Soo, MBBS
National University Hospital, Singapore
- PRINCIPAL INVESTIGATOR
Alex Chang
Johns Hopkins Singapore International Medical Centre
- PRINCIPAL INVESTIGATOR
Chung Yip Chan
Tan Tock Seng Hospital
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Ross Andrew Soo
Study Record Dates
First Submitted
July 14, 2008
First Posted
July 16, 2008
Study Start
September 1, 2012
Primary Completion
December 1, 2014
Last Updated
March 5, 2014
Record last verified: 2014-03