Evidence map›Paper›PMID 25656989›Full record

ArticleBMC cancer2015

Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas.

Hector H Li-Chang, Katayoon Kasaian, Ying Ng, Amy Lum, Esther Kong, Howard Lim, Steven Jm Jones, David G Huntsman, David F Schaeffer, Stephen Yip

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trifluridine/tipiracil in patients with metastatic gastroesophageal junction cancer: a subgroup analysis from the phase 3 TAGS study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Trial
  2. Article
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  4. The spectrum of TP53 mutations in Rwandan patients with gastric cancer.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
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  18. GEAMP, a novel gastroesophageal junction carcinoma cell line derived from a malignant pleural effusion.Laboratory investigation; a journal of technical methods and pathology · 2020
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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

10 authors at 3 institutions in 1 country.

Hector H Li-ChangUniversity of British Columbia, Vancouver, Canada. hlichang@bccrc.ca.
Katayoon KasaianUniversity of British Columbia, Vancouver, Canada. kkasaian@bcgsc.ca.
Ying NgCentre for Translational and Applied Genomics, British Columbia Cancer Agency, Vancouver, Canada. yng@bccancer.bc.ca.
Amy LumCentre for Translational and Applied Genomics, British Columbia Cancer Agency, Vancouver, Canada. alum2@bccancer.bc.ca.
Esther KongCentre for Translational and Applied Genomics, British Columbia Cancer Agency, Vancouver, Canada. esther.kong@bccancer.bc.ca.
Howard LimUniversity of British Columbia, Vancouver, Canada. hlim@bccancer.bc.ca.
Steven Jm JonesCanada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, Canada. sjones@bcgsc.ca.
David G HuntsmanUniversity of British Columbia, Vancouver, Canada. dhuntsma@bccancer.bc.ca.
David F SchaefferUniversity of British Columbia, Vancouver, Canada. david.schaeffer@vch.ca.
Stephen YipUniversity of British Columbia, Vancouver, Canada. syip-02@bccancer.bc.ca.
BC Cancer Agency · CAUniversity of British Columbia · CACanada's Michael Smith Genome Sciences Centre · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundAdenocarcinomas of both the gastroesophageal junction and stomach are molecularly complex, but differ with respect to epidemiology, etiology and survival. There are few data directly comparing the frequencies of single nucleotide mutations in cancer-related genes between the two sites. Sequencing of targeted gene panels may be useful in uncovering multiple genomic aberrations using a single test.

methodsDNA from 92 gastroesophageal junction and 75 gastric adenocarcinoma resection specimens was extracted from formalin-fixed paraffin-embedded tissue. Targeted deep sequencing of 46 cancer-related genes was performed through emulsion PCR followed by semiconductor-based sequencing. Gastroesophageal junction and gastric carcinomas were contrasted with respect to mutational profiles, immunohistochemistry and in situ hybridization, as well as corresponding clinicopathologic data.

resultsGastroesophageal junction carcinomas were associated with younger age, more frequent intestinal-type histology, more frequent p53 overexpression, and worse disease-free survival on multivariable analysis. Among all cases, 145 mutations were detected in 31 genes. TP53 mutations were the most common abnormality detected, and were more common in gastroesophageal junction carcinomas (42% vs. 27%, p = 0.036). Mutations in the Wnt pathway components APC and CTNNB1 were more common among gastric carcinomas (16% vs. 3%, p = 0.006), and gastric carcinomas were more likely to have ≥3 driver mutations detected (11% vs. 2%, p = 0.044). Twenty percent of cases had potentially actionable mutations identified. R132H and R132C missense mutations in the IDH1 gene were observed, and are the first reported mutations of their kind in gastric carcinoma.

conclusionsPanel sequencing of routine pathology material can yield mutational information on several driver genes, including some for which targeted therapies are available. Differing rates of mutations and clinicopathologic differences support a distinction between adenocarcinomas that arise in the gastroesophageal junction and those that arise in the stomach proper.

Indexed as

MutationAdenocarcinomaAdultAgedAged, 80 and overEsophageal DiseasesEsophagogastric JunctionFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRetrospective Studies

Identifiers

PMID25656989
PMCPMC4322811
OpenAlexW2134871854

What OpenQuestion holds

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LicenceCC BY
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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.