Evidence map›Paper›PMID 42246975›Full record

ArticleInnere Medizin (Heidelberg, Germany)2026

[Personalized pharmacotherapy of colorectal cancer].

Nadine Schulte

Abstract readEnglish Abstract
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In one paragraph

Article in Innere Medizin (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Nadine SchulteII. Medizinische Klinik, Universitätsmedizin Mannheim, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Deutschland. nadine.schulte@umm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment of colorectal cancer has fundamentally evolved due to molecular characterization and biomarker-driven strategies.

objectivesTo summarize key personalized treatment approaches in colorectal cancer with a focus on clinically relevant molecular subgroups. CURRENT DATA: Molecular biomarkers increasingly guide treatment decisions. Microsatellite instability-high (MSI-H)/deficient mismatch repair (dMMR) tumors show pronounced responses to immune checkpoint inhibitors and represent a distinct therapeutic entity. In the adjuvant setting, recent data identify for the first time a predictive biomarker for a targeted pharmacologic intervention: patients with alterations in the phosphoinositide 3‑kinase (PI3K) pathway significantly benefit from adjuvant aspirin therapy, emphasizing the importance of molecular testing even in early-stage disease. In metastatic colorectal cancer, molecular stratification is essential. For BRAF V600E-mutated tumors, the BREAKWATER study demonstrates that targeted therapy in first-line combination with chemotherapy significantly improves response rates and survival. Additional targets such as HER2 and emerging immunologic and cellular therapies continue to expand treatment options.

conclusionsColorectal cancer treatment is increasingly evolving into a precision oncology approach. Integration of molecular biomarkers enables tailored therapy decisions and opens new options, particularly in adjuvant and metastatic settings.

Indexed as

Colorectal NeoplasmsPrecision MedicineAspirinBiomarkers, TumorChemotherapy, AdjuvantDNA Mismatch RepairHumansMicrosatellite InstabilityMolecular Targeted TherapyProto-Oncogene Proteins B-rafAspirinBiomarkers, TumorProto-Oncogene Proteins B-rafAcetylsalicylic acidBRAF-V600E mutationColorectal cancer/personalized medicineColorectal neoplasms/immunotherapyPhosphoinositide 3-kinase

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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.