Evidence map›Paper›PMID 23178814›Full record

ReviewCancer letters2013

Identifying molecular drivers of gastric cancer through next-generation sequencing.

Han Liang, Yon Hui Kim

Abstract readReview
In one paragraph

Review in Cancer letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Trial
  2. Docetaxel, oxaliplatin, and capecitabine combination chemotherapy for metastatic gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2014
    Trial
  3. Review
  4. Genomic characterization of peritoneal lavage cytology-positive gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Molecular predictive markers in tumors of the gastrointestinal tract.World journal of gastrointestinal oncology · 2016
    Review
  20. 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

2 authors.

Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.
Yon Hui Kim

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)U24CA143883 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2009 to 2016
$10.6M
NCI NIH HHS NIH/NCI P30 CA016672NCI NIH HHS NIH/NCI P50 CA098258NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA098258NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA143883)
6 · The paper itself

Abstract

Gastric cancer is the second most common cause of cancer-related death in the world, representing a major global health issue. The high mortality rate is largely due to the lack of effective medical treatment for advanced stages of this disease. Recently next-generation sequencing (NGS) technology has become a revolutionary tool for cancer research, and several NGS studies in gastric cancer have been published. Here we review the insights gained from these studies regarding how use NGS to elucidate the molecular basis of gastric cancer and identify potential therapeutic targets. We also discuss the challenges and future directions of such efforts.

Indexed as

Genetic TestingGenome, HumanHigh-Throughput Nucleotide SequencingSequence Analysis, DNASequence Analysis, RNAAnimalsBiomarkers, TumorComputational BiologyDNA Mutational AnalysisGene Expression ProfilingGene Expression Regulation, NeoplasticGene FusionGenetic Predisposition to DiseaseGenomicsHumansMutationBiomarkers, TumorGastric cancerGene fusionNext-generation sequencingRNA sequencingSomatic mutationTherapeutic target

Identifiers

PMID23178814
PMCPMC3873853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.