Evidence map›Paper›PMID 25777075›Full record

ReviewDer Pathologe2015

[Molecular pathology of colorectal cancer].

J H L Neumann, A Jung, T Kirchner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Artificial Intelligence in Pathology.Deutsches Arzteblatt international · 2021
    Review
  4. Article
  5. Article
  6. Review
  7. 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

3 authors.

J H L NeumannPathologisches Institut, Ludwig-Maximilians-Universität München, Thalkirchner Straße 36, 80337, München, Deutschland, jens.neumann@med.uni-muenchen.de.
A Jung
T Kirchner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, several predictive and prognostic biomarkers have been established in colorectal cancer (CRC). The RAS-mutation status is widely applied in the daily routine diagnostic as predictive biomarker for treatment with EGFR-inhibitors. A BRAF- mutation has no predictive value in this context. The detection of high-grade microsatellite instability (MSI-H) is a predictive biomarker for response to 5-Fluoruracil-monotherapy. Prognostic biomarkers in CRC are the MSI-status and the mutational status of BRAF. According to the current WHO classification poorly and undifferentiated CRC and MSI-associated special morphological subtypes are molecular graded depending on their MSI-status. The detection of a BRAF-mutation in the context of microsatellite stability (MSS) is associated with a very poor prognosis and thus represents the most aggressive molecular subtype of CRC. In patients with positive Bethesda criteria a stepwise immunohistochemical and molecular diagnostic scheme is proposed.

Indexed as

Molecular Diagnostic TechniquesAdenocarcinomaAlgorithmsClass I Phosphatidylinositol 3-KinasesColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA Mutational AnalysisErbB ReceptorsFluorouracilGenetic MarkersHumansMicrosatellite InstabilityPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins B-rafBRAF protein, humanClass I Phosphatidylinositol 3-KinasesEGFR protein, humanErbB ReceptorsFluorouracilGenetic MarkersPhosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene Proteins B-raf

Identifiers

What OpenQuestion holds

Textmetadata
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.