Evidence map›Paper›PMID 26961069›Full record

ArticleScientific reports2016

Comprehensive molecular portrait using next generation sequencing of resected intestinal-type gastric cancer patients dichotomized according to prognosis.

E Bria, S Pilotto, M Simbolo, M Fassan, G de Manzoni, L Carbognin, I Sperduti, M Brunelli, I Cataldo, A Tomezzoli and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Gastric Cancer Cell Lines Have DifferentCanadian journal of gastroenterology & hepatology · 2018
    Article
  8. Review
  9. Review
  10. Article
  11. Molecular Testing for Gastrointestinal Cancer.Journal of pathology and translational medicine · 2017
    Review
  12. Article
  13. 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

16 authors at 3 institutions in 2 countries.

E BriaMedical Oncology, Azienda Ospedaliera Universitaria Integrata, University of Verona, Verona, Italy.
S PilottoMedical Oncology, Azienda Ospedaliera Universitaria Integrata, University of Verona, Verona, Italy.
M SimboloARC-NET Applied Research on Cancer Center, University of Verona, Verona, Italy.
M FassanARC-NET Applied Research on Cancer Center, University of Verona, Verona, Italy.
G de Manzoni1st Division of General Surgery, University of Verona, Verona, Italy.
L CarbogninMedical Oncology, Azienda Ospedaliera Universitaria Integrata, University of Verona, Verona, Italy.
I SperdutiBiostatistics, Regina Elena National Cancer Institute, Rome, Italy.
M BrunelliDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
I CataldoDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
A TomezzoliDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
A MafficiniDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
G TurriDepartment of Pathology and Diagnostics, University of Verona, Verona, Italy.
N KarachaliouPangaea Biotech, Barcelona, Spain.
R RosellPangaea Biotech, Barcelona, Spain.
G TortoraMedical Oncology, Azienda Ospedaliera Universitaria Integrata, University of Verona, Verona, Italy.
A ScarpaARC-NET Applied Research on Cancer Center, University of Verona, Verona, Italy.
University of Verona · ITAzienda Ospedaliera Universitaria Integrata Verona · ITInstitut Català d'Oncologia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we evaluated whether the presence of genetic alterations detected by next generation sequencing may define outcome in a prognostically-selected and histology-restricted population of resected gastric cancer (RGC). Intestinal type RGC samples from 34 patients, including 21 best and 13 worst prognostic performers, were studied. Mutations in 50 cancer-associated genes were evaluated. A significant difference between good and poor prognosis was found according to clinico-pathologic factors. The most commonly mutated genes in the whole population were PIK3CA (29.4%), KRAS (26.5%), TP53 (26.5%) MET (8.8%), SMAD4 (8.8%) and STK11 (8.8%). Multiple gene mutations were found in 14/21 (67%) patients with good prognosis, and 3/13 (23%) in the poor prognosis group. A single gene alteration was found in 5/21 (24%) good and 6/13 (46%) poor prognosis patients. No mutation was found in 2/21 (9.5%) and 4/13 (31%) of these groups, respectively. In the overall series, ß-catenin expression was the highest (82.4%), followed by E-Cadherin (76.5%) and FHIT (52.9%). The good prognosis group was characterized by a high mutation rate and microsatellite instability. Our proof-of-principle study demonstrates the feasibility of a molecular profiling approach with the aim to identify potentially druggable pathways and drive the development of customized therapies for RGC.

Indexed as

Pathology, MolecularPrognosisAgedAged, 80 and overAMP-Activated Protein Kinase KinasesClass I Phosphatidylinositol 3-KinasesDisease-Free SurvivalDNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationPhosphatidylinositol 3-KinasesProtein Serine-Threonine KinasesAMP-Activated Protein Kinase KinasesClass I Phosphatidylinositol 3-KinasesKRAS protein, humanMET protein, humanPhosphatidylinositol 3-KinasesPIK3CA protein, humanProtein Serine-Threonine KinasesProto-Oncogene Proteins c-metProto-Oncogene Proteins p21(ras)Smad4 ProteinSMAD4 protein, humanSTK11 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID26961069
PMCPMC4785368
OpenAlexW2297068537

What OpenQuestion holds

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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.