Evidence map›Paper›PMID 23517622›Full record

ArticleJournal of translational medicine2013

A three-gene signature as potential predictive biomarker for irinotecan sensitivity in gastric cancer.

Jie Shen, Jia Wei, Hao Wang, Guofeng Yue, Lixia Yu, Yang Yang, Li Xie, Zhengyun Zou, Xiaoping Qian, Yitao Ding and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. RNA-seq reveals determinants for irinotecan sensitivity/resistance in colorectal cancer cell lines.International journal of clinical and experimental pathology · 2014
    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

12 authors at 2 institutions in 1 country.

Jie Shen
Jia Wei
Hao Wang
Guofeng Yue
Lixia Yu
Yang Yang
Li Xie
Zhengyun Zou
Xiaoping Qian
Yitao Ding
Wenxian Guan
Baorui Liu
Nanjing Drum Tower Hospital · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePersonalized chemotherapy based on molecular biomarkers can maximize anticancer efficiency. We aim to investigate predictive biomarkers capable of predicting response to irinotecan-based treatment in gastric cancer.

methodsWe examined gene expression of APTX, BRCA1, ERCC1, ISG15, Topo1 and methylation of SULF2 in formalin-fixed paraffin-embedded gastric cancer tissues from 175 patients and evaluated the association between gene expression levels or methylation status and in vitro sensitivity to irinotecan. We used multiple linear regression analysis to develop a gene-expression model to predict irinotecan sensitivity in gastric cancer and validated this model in vitro and vivo.

resultsGene expression levels of APTX, BRCA1 and ERCC1 were significantly lower in irinotecan-sensitive gastric cancer samples than those irinotecan-resistant samples (P<0.001 for all genes), while ISG15 (P=0.047) and Topo1 (P=0.002) were significantly higher. Based on those genes, a three-gene signature were established, which was calculated as follows: Index =0.488 - 0.020× expression level of APTX + 0.015× expression level of Topo1 - 0.011 × expression level of BRCA1. The three-gene signature was significantly associated with irinotecan sensitivity (rho=0.71, P<0.001). The sensitivity and specificity for the prediction of irinotecan sensitivity based on the three-gene signature reached 73% and 86%, respectively. In another independent testing set, the irinotecan inhibition rates in gastric samples with sensitive-signature were much higher than those with resistant-signature (65% vs. 22%, P<0.001). Irinotecan therapy with 20 mg/kg per week to immunodeficient mice carrying xenografts with sensitive-signature dramatically arrested the growth of tumors (P<0.001), but had no effect on mice carrying xenografts with resistant-signature.

conclusionsThe three-gene signature established herein is a potential predictive biomarker for irinotecan sensitivity in gastric cancer.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAdultAgedAged, 80 and overAnimalsBiomarkers, TumorCamptothecinDrug Screening Assays, AntitumorFemaleHumansIrinotecanMaleMethylationMiceMiddle AgedBiomarkers, TumorCamptothecinIrinotecanNeoplasm ProteinsSULF2 protein, humanSulfatasesSulfotransferases

Identifiers

PMID23517622
PMCPMC3639168
OpenAlexW2096681299

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.