Evidence map›Paper›PMID 35380714›Full record

ArticleThe oncologist2022

Evaluation of Tumor DNA Sequencing Results in Patients with Gastric and Gastroesophageal Junction Adenocarcinoma Stratified by TP53 Mutation Status.

Anthony C Wood, Yonghong Zhang, Qianxing Mo, Ling Cen, Jacques Fontaine, Sarah E Hoffe, Jessica Frakes, Sean P Dineen, Jose M Pimiento, Christine M Walko and 1 more

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
    Review
  4. Article
  5. 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

11 authors at 1 institution in 1 country.

Anthony C WoodDepartment of Gastrointestinal Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Yonghong ZhangDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Qianxing MoDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Ling CenDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Jacques FontaineDepartment of Thoracic Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Sarah E HoffeDepartment of Radiation Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Jessica FrakesDepartment of Radiation Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Sean P DineenDepartment of Gastrointestinal Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Jose M PimientoDepartment of Gastrointestinal Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Christine M WalkoDepartment of Individualized Cancer Medicine, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Rutika MehtaDepartment of Gastrointestinal Oncology, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Moffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

backgroundGastric cancer (GC) and gastroesophageal junction adenocarcinomas (GEJ) are molecularly diverse. TP53 is the most frequently altered gene with approximately 50% of patients harboring mutations. This qualitative study describes the distinct genomic alterations in GCs and GEJs stratified by TP53 mutation status. PATIENTS AND

methodsTumor DNA sequencing results of 324 genes from 3741 patients with GC and GEJ were obtained from Foundation Medicine. Association between gene mutation frequency and TP53 mutation status was examined using Fisher's exact test. Functional gene groupings representing molecular pathways suggested to be differentially mutated in TP53 wild-type (TP53WT) and TP53 mutant (TP53MUT) tumors were identified. The association of the frequency of tumors containing a gene mutation in the molecular pathways of interest and TP53 mutation status was assessed using Fisher's exact test with a P-value of <.01 deemed statistically significant for all analyses.

resultsTP53 mutations were noted in 61.6% of 2946 GCs and 81.4% of 795 GEJs (P < .001). Forty-nine genes had statistically different mutation frequencies in TP53WT vs. TP53MUT patients. TP53WT tumors more likely had mutations related to DNA mismatch repair, homologous recombination repair, DNA and histone methylation, Wnt/B-catenin, PI3K/Akt/mTOR, and chromatin remodeling complexes. TP53MUT tumors more likely had mutations related to fibroblast growth factor, epidermal growth factor receptor, other receptor tyrosine kinases, and cyclin and cyclin-dependent kinases.

conclusionThe mutational profiles of GCs and GEJs varied according to TP53 mutation status. These mutational differences can be used when designing future studies assessing the predictive ability of TP53 mutation status when targeting differentially affected molecular pathways.

Indexed as

AdenocarcinomaPhosphatidylinositol 3-KinasesDNA, NeoplasmEsophagogastric JunctionHumansMutationSequence Analysis, DNATumor Suppressor Protein p53DNA, NeoplasmPhosphatidylinositol 3-KinasesTP53 protein, humanTumor Suppressor Protein p53DNA sequencinggastric cancergastroesophageal cancermutation analysisTP53

Identifiers

PMID35380714
PMCPMC8982441
OpenAlexW4205960796

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Registered trials

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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.