Evidence map›Paper›PMID 42325264›Full record

ArticleiScience2026

Challenging the control through a single-cell perspective on normal adjacent tissue in colorectal cancer.

Patricia Raude, Onur Mert Batmaz, Subhiksha Meenakshi Sundaram, Christina Parpoulas, Xiaodong Wang, Joana Aggrey Fynn, Jana Koch, Dina Mönch, Thomas Mürdter, Marc H Dahlke and 2 more

Abstract read
In one paragraph

Article in iScience, 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

12 authors.

Patricia RaudeRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Onur Mert BatmazRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Subhiksha Meenakshi SundaramRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Christina ParpoulasRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Xiaodong WangRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Joana Aggrey FynnRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Jana KochDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Bosch Health Campus, Stuttgart 70376, Germany.
Dina MönchDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Bosch Health Campus, Stuttgart 70376, Germany.
Thomas MürdterDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Bosch Health Campus, Stuttgart 70376, Germany.
Marc H DahlkeRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Dominik SaulRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.
Robyn Laura KosinskyRobert Bosch Center for Tumor Diseases, Bosch Health Campus, Stuttgart 70376, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While normal adjacent tissue (NAT) is used as a standard control in cancer studies, NAT in close proximity to the tumor can display tumor-like molecular features, which are associated with a higher risk of local recurrence in colorectal cancer (CRC). To investigate the cellular composition and molecular features of NAT in detail, we analyzed single-cell RNA sequencing and spatial transcriptomics datasets of CRC tissue, corresponding NAT, and healthy colorectal biopsies. Our findings revealed significant differences in both cellular composition and gene expression profiles between healthy, NAT, and tumor tissues. We identified differentially expressed genes between healthy and normal adjacent tissue for each cell type, as well as tumor-associated copy number variations within NAT. Furthermore, we identified gene panels that effectively distinguish between healthy tissue and tissues exhibiting tumor-associated gene expression profiles, including NAT and tumor tissue. Finally, we developed a pharmacological strategy to reverse tumor-associated gene expression patterns

Indexed as

canceromics

Identifiers

PMID42325264
PMCPMC13276536

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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.