Evidence map›Paper›PMID 39628993›Full record

ArticleFrontiers in oncology2024

Exploring the molecular profile of localized colon cancer: insights from the AIO Colopredict Plus registry.

Ira Ekmekciu, Doreen Maria Zucha, Jens Christmann, Sarah Wisser, Vera Heuer, Buelent Sargin, Stephan Hollerbach, Christof Lamberti, Lothar Müller, Celine Lugnier and 7 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Ira Ekmekciu *Department of Hematology, Oncology and Palliative Care, St. Josef Hospital, Ruhr University, Bochum, Germany.
Doreen Maria Zucha *Institute of Pathology, Ruhr University, Bochum, Germany.
Jens Christmann *Institute of Pathology, Ruhr University, Bochum, Germany.
Sarah WisserInstitute of Pathology, Ruhr University, Bochum, Germany.
Vera HeuerDepartment of Hematology, Oncology and Palliative Care, St. Josef Hospital, Ruhr University, Bochum, Germany.
Buelent SarginHematology and Medical Oncology, St-Marien-Hospital Lunen, Lunen, Germany.
Stephan HollerbachDepartment of Gastroenterology, Allgemeines Krankenhaus (AKH) Celle, Celle, Germany.
Christof LambertiHematology and Oncology, Regiomed Hospital Group, Coburg, Germany.
Lothar MüllerOnkologie UnterEms, Leer, Germany.
Celine LugnierDepartment of Hematology, Oncology and Palliative Care, St. Josef Hospital, Ruhr University, Bochum, Germany.
Berlinda VerdoodtInstitute of Pathology, Ruhr University, Bochum, Germany.
Robin DenzDepartment of Medical Informatics, Biometrics and Epidemiology, Ruhr University, Bochum, Germany.
Tobias TerzerDepartment of Hematology, Oncology and Palliative Care, St. Josef Hospital, Ruhr University, Bochum, Germany.
Inke FederInstitute of Pathology, Ruhr University, Bochum, Germany.
Anke Reinacher-SchickDepartment of Hematology, Oncology and Palliative Care, St. Josef Hospital, Ruhr University, Bochum, Germany.
Andrea TannapfelInstitute of Pathology, Ruhr University, Bochum, Germany.
Iris TischoffInstitute of Pathology, Ruhr University, Bochum, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Understanding the mutational landscape of colon cancer (CC) is crucial for targeted therapy development. Microsatellite instability (MSI-H), rat sarcoma (RAS), and B-Raf proto-oncogene, serine/threonine kinase (BRAF) mutations (MT) are pivotal markers. Further investigation into clinicopathological features of RAS and BRAF MT in microsatellite stable (MSS) and MSI-H tumors is warranted. Methods: A retrospective analysis of 4883 localized CC patients (pts.) was conducted. Molecular profiling assessed MSI, KRAS, NRAS, and BRAF MT. Correlation with clinicopathological data employed ANOVA and Chi-square tests. Disease-free survival (DFS) and overall survival (OS) were analyzed adjusting for age, gender, sidedness, UICC stage, Charlson Comorbidity Index (CCI). A Cox model incorporated all variables as covariates. Results: This analysis included 4883 pts. (2302 female/2572 male, 3865 (79.2%) MSS, 1018 (20.8%) MSI-H). MSS pts. had more All-Wild Type (WT), KRAS MT, and NRAS MT tumors vs. MSI-H pts. (42.1% vs. 21.1%; 39.8% vs. 15.4%; 3.6% vs. 0.7%; p<0.001 for each). BRAF MT tumors (95.5% BRAF V600E MT) were more prevalent in MSI-H individuals (62.8% vs. 8.1%, p<0.001). KRAS and BRAF MT tumors were more frequently right-sided, while BRAF MT tumors were associated with female gender, advanced disease stage, lymph node positivity, and poorer differentiation in the MSS subset (p<0.001). Common KRAS mutations included p.G12D (30.44%) and p.G12V (21.3%) in MSS and p.G13D (28.9%) and p.G12D (22.37%) in MSI-H. NRAS MT tumors were dominated by codon 61 mutations (51.7%). Survival analysis revealed worst prognosis in BRAF MT MSS tumors (DFS: HR 1.74 (95% CI 1.15-2.62, p=0.009; OS: HR 1.61 (95% CI 0.99-2.6), p=0.055). The 3-years DFS and 5-years OS rates were lowest in this subset (61.6% and 57.7% respectively). Discussion: These findings highlight the complex interplay between molecular subtypes, clinicopathological features, and survival outcomes in early CC. Further research is needed to elucidate underlying mechanisms and develop personalized treatment strategies.

Indexed as

BRAFcolon cancerlocalizedmicrosatellite instabilityRASreal world data

Identifiers

PMID39628993
PMCPMC11612501

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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.