Evidence map›Paper›PMID 35785488›Full record

ArticleCancer medicine2023

Association between mutational subgroups, Warburg-subtypes, and survival in patients with colorectal cancer.

Kelly Offermans, Josien C A Jenniskens, Colinda C J M Simons, Iryna Samarska, Gregorio E Fazzi, Jaleesa R M van der Meer, Kim M Smits, Leo J Schouten, Matty P Weijenberg, Heike I Grabsch and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.5field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Review
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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

11 authors at 2 institutions in 4 countries.

Kelly OffermansDepartment of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0001-6842-4887
Josien C A JenniskensDepartment of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0003-2727-2981
Colinda C J M SimonsDepartment of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0002-0085-5186
Iryna SamarskaDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0003-4092-0672
Gregorio E FazziDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0001-7068-8435
Jaleesa R M van der MeerDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.
Kim M SmitsDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0002-4629-4396
Leo J SchoutenDepartment of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0003-3361-7560
Matty P WeijenbergDepartment of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0003-1695-4768
Heike I GrabschDepartment of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0001-9520-6228
Piet A van den BrandtDepartment of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, The Netherlands.ORCID 0000-0001-8781-8099
Maastricht University Medical Centre · NLUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious research suggests that Warburg-subtypes are related to potentially important survival differences in colorectal cancer (CRC) patients. In the present study, we investigated whether mutational subgroups based on somatic mutations in RAS, BRAF, PIK3CA, and MET, which are known to promote the Warburg-effect, as well as mismatch repair (MMR) status, hold prognostic value in CRC. In addition, we investigated whether Warburg-subtypes provide additional prognostic information, independent of known prognostic factors like TNM stage.

methodsCRC patients (n = 2344) from the prospective Netherlands Cohort Study (NLCS) were classified into eight mutually exclusive mutational subgroups, based on observed mutations in RAS, BRAF, PIK3CA, and MET, and MMR status: All-wild-type + MMR

resultsCompared to patients with all-wild-type + MMR

conclusionOur results highlight the prognostic potential of mutational subgroups in CRC. Warburg-subtypes did not provide additional prognostic information within these mutational subgroups. Future larger-scale prospective studies are necessary to validate our findings and to examine the potential clinical utility of CRC subtyping based on mutational subgroups.

Indexed as

Colorectal NeoplasmsProto-Oncogene Proteins B-rafBrain NeoplasmsClass I Phosphatidylinositol 3-KinasesCohort StudiesDNA Mutational AnalysisHumansMutationNeoplastic Syndromes, HereditaryPrognosisProspective StudiesProto-Oncogene Proteins p21(ras)Class I Phosphatidylinositol 3-KinasesProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)colorectal canceroncogenesprognosissurvivalWarburg-effect

Identifiers

PMID35785488
PMCPMC9883416
OpenAlexW4283797752

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.