Evidence map›Paper›PMID 30340556›Full record

ArticleBMC cancer2018

Genetic and immunological biomarkers predict metastatic disease recurrence in stage III colon cancer.

Andreas Sperlich, Alexander Balmert, Dietrich Doll, Sabine Bauer, Fabian Franke, Gisela Keller, Dirk Wilhelm, Anna Mur, Michael Respondek, Helmut Friess and 2 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. MACC1 in colorectal cancer: a claim-level evidence audit from metastasis driver to proposed microenvironmental regulator.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

12 authors.

Andreas SperlichDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Alexander BalmertDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Dietrich DollDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Sabine BauerDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Fabian FrankeDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Gisela KellerInstitute of Pathology, Technical University of Munich, Trogerstr. 18, 81675, Munich, Germany.
Dirk WilhelmDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Anna MurDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Michael RespondekSt. Marienhospital, Praxis für Pathologie Vechta, Marienstr. 11, 49377, Vechta, Germany.
Helmut FriessDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Ulrich NitscheDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany.
Klaus-Peter JanssenDepartment of Surgery, Klinikum rechts der Isar, TUM, Ismaninger Str. 22, 81675, Munich, Germany. klaus-peter.janssen@tum.de.ORCID http://orcid.org/0000-0002-4707-7887

Funding

Gesellschaft für Gastroenterologie in Bayern e.V Anschubfinanzierung Kolorektalkarzinom
6 · The paper itself

Abstract

backgroundEven though the post-operative outcome varies greatly among patients with nodal positive colon cancer (UICC stage III), personalized prediction of systemic disease recurrence is currently insufficient. We investigated in a retrospective setting whether genetic and immunological biomarkers can be applied for stratification of distant metastasis occurrence risk.

methodsEighty four patients with complete resection (R0) of stage III colon cancer from two clinical centres were analysed for genetic biomarkers: microsatellite instability, oncogenic mutations in KRAS exon2 and BRAF exon15, expression of osteopontin and the metastasis-associated genes SASH1 and MACC1. Tumor-infiltrating CD3 and CD8 positive T-cells were quantified by immunocytochemistry. Results were correlated with outcome and response to 5-FU based adjuvant chemotherapy, using Cox's proportional hazard models and integrative two-step cluster analysis.

resultsDistant metastasis risk was significantly correlated with oncogenic KRAS mutations (p = 0.015), expression of SASH1 (p = 0.016), and the density of CD8-positive T-cells (p = 0.007) in Kaplan-Meier analysis. Upon multivariate Cox-regression analysis, KRAS mutation (p = 0.008) and density of CD8-positive TILs (p = 0.009) were retained as prognostic parameters for metachronous distant metastasis. Integrative two-step cluster analysis was used to combine all genetic markers, allowing stratification of patient subgroups. Post-operative distant metastasis risk ranged from 31% (low-risk) to 41% (intermediate), and 57% (high-risk) (p = 0.032). Increased expression of osteopontin (p = 0.019) and low density of CD8-positive T-cells (p = 0.043) were significantly associated with unfavourable response to 5-FU.

conclusionsIntegrative biomarker analysis allows stratification of stage III colon cancer patients for the risk of metastatic disease recurrence and may indicate response to 5-FU. Thus, biomarker analysis might facilitate the use of adjuvant therapy for high risk patients.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorColonic NeoplasmsFemaleGenetic MarkersHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingRetrospective StudiesBiomarkers, TumorGenetic MarkersBRAFChemotherapyDisease-free survivalFluorouracilKRASMicrosatellite instabilityPredictors of recurrencePrognosisSASH1

Identifiers

PMID30340556
PMCPMC6194664

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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.