Evidence map›Paper›PMID 26033401›Full record

Observational studyHistopathology2016

MET in gastric cancer--discarding a 10% cutoff rule.

Marie-Luise Metzger, Hans-Michael Behrens, Christine Böger, Jochen Haag, Sandra Krüger, Christoph Röcken

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Histopathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. MDM2 amplification is rare in gastric cancer.Virchows Archiv : an international journal of pathology · 2023
    Article
  10. Article
  11. LAG3 in gastric cancer: it's complicated.Journal of cancer research and clinical oncology · 2023
    Article
  12. The putative pleiotropic functions of meprin β in gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  13. Article
  14. Article
  15. Predictive biomarkers in gastric cancer.Journal of cancer research and clinical oncology · 2023
    Review
  16. Article
  17. Review
  18. Article
  19. 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

6 authors at 1 institution in 1 country.

Marie-Luise MetzgerDepartment of Pathology, Christian-Albrechts-University, Kiel, Germany.
Hans-Michael BehrensDepartment of Pathology, Christian-Albrechts-University, Kiel, Germany.
Christine BögerDepartment of Pathology, Christian-Albrechts-University, Kiel, Germany.
Jochen HaagDepartment of Pathology, Christian-Albrechts-University, Kiel, Germany.
Sandra KrügerDepartment of Pathology, Christian-Albrechts-University, Kiel, Germany.
Christoph RöckenDepartment of Pathology, Christian-Albrechts-University, Kiel, Germany.
Kiel University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe aimed to develop a putative predictive biomarker score for future hepatocyte growth factor receptor (MET)-targeted therapy of gastric cancer (GC). METHODS AND

resultsMET expression and MET amplification were analysed by immunohistochemistry (IHC) and chromogenic in-situ hybridization (CISH) in 470 GC patients. Immunostaining was documented with the HistoScore. The percentage area of MET-amplified tumour cell clones was assessed by virtual microscopy. The expression of MET was heterogeneous in primary and metastatic GC. Immunostaining intensity (MET-IHC 2+/3+) correlated with MET amplification and a positive MET status was defined by a combination of MET-IHC 2+ or 3+ with MET amplification, or MET-IHC 3+ without MET amplification. The prognostic significance of the MET status was independent from the percentage area of positive tumour cells (e.g. <10 versus ≥10%). MET-positive GCs were microsatellite stable and of KRAS/PIK3CA wild-type. MET-positive GCs had a very poor prognosis, with a median survival of 5.4 months and a hazard ratio of 2.126.

conclusionsA combination of immunohistochemistry and CISH is suitable to assess MET status. If MET status is used as a predictive biomarker, prospective studies should pay specific attention to adequate tissue sampling, should ignore cutoff values for tumour areas, may consider the KRAS and PIK3CA genotype as negative predictive markers and should carry out the analysis expeditiously.

Indexed as

AgedBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesCohort StudiesFemaleGene AmplificationHumansImmunohistochemistryIn Situ HybridizationKaplan-Meier EstimateMalePrognosisProto-Oncogene Proteins c-metProto-Oncogene Proteins p21(ras)Retrospective StudiesStomach NeoplasmsBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesKRAS protein, humanMET protein, humanPIK3CA protein, humanProto-Oncogene Proteins c-metProto-Oncogene Proteins p21(ras)gastric cancerimmunohistochemistryin-situ hybridizationMETpredictive biomarkertargeted therapy

Identifiers

PMID26033401
PMCPMC4744765
OpenAlexW2095670188

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.