Evidence map›Paper›PMID 23645036›Full record

SynthesisMolecular biology reports2013

An integrated analysis of the association between Ts gene polymorphisms and clinical outcome in gastric and colorectal cancer patients treated with 5-FU-based regimens.

Ying-Chao Wang, Hui-Ping Xue, Zhen-Hua Wang, Jing-Yuan Fang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ying-Chao WangGI Division, Shanghai Institution of Digestive Disease, School of Medicine, Renji Hospital, Shanghai Jiao-Tong University, Shanghai, 200001, China.
Hui-Ping Xue
Zhen-Hua Wang
Jing-Yuan Fang
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thymidylate synthetase is the major target of 5-fluorouracil (5-FU), which is widely used for the treatment of gastric cancer (GC) and colorectal cancer (CRC). This meta-analysis aimed to elucidate the effect of Ts polymorphisms on the efficacy of 5-FU-based chemotherapy in GC and CRC patients. Individual data were analyzed from 10 studies of 1102 GC and CRC patients treated with 5-FU-based regimens. The primary outcomes of interest were overall survival (OS) and progression-free survival (PFS). Data were pooled using the program STATA version 10.0 (Stata Corporation, College Station, TX). The relationship between the Ts polymorphism and survival following 5FU-based treatment of GC and CRC patients was systematically summarized. Compared with the C allele, the G allele was associated with shorter PFS but with similar OS in Caucasian CRC patients. Compared with the 3R/3R genotype, the 2R/3R or 2R/2R genotype was associated with the same PFS, but with a shorter OS, particularly in Caucasian CRC patients. These results show a correlation between survival following 5-FU-based therapy and tumor genotype in Caucasian CRC patients. Larger studies and further clinical trials are required to confirm this observation.

Indexed as

Polymorphism, GeneticAllelesAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsEthnicityFluorouracilGene FrequencyGenotypeHumansPrognosisStomach NeoplasmsThymidylate SynthaseTreatment OutcomeAntineoplastic AgentsFluorouracilThymidylate Synthase

Identifiers

PMID23645036
OpenAlexW2081238656

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.