Evidence map›Paper›PMID 41450739›Full record

ReviewFrontiers in cell and developmental biology2025

Sidedness matters: single-cell perspectives on left- and right-sided colorectal cancer.

Maria Yanova, Diana Maltseva, Alexander Tonevitsky

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2025. 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

3 authors.

Maria YanovaFaculty of Biology and Biotechnology, National Research University Higher School of Economics, Moscow, Russia.
Diana MaltsevaFaculty of Biology and Biotechnology, National Research University Higher School of Economics, Moscow, Russia.
Alexander TonevitskyFaculty of Biology and Biotechnology, National Research University Higher School of Economics, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide. Tumor sidedness, distinguishing left- (LCRC) and right-sided (RCRC) cancers, has emerged as a critical clinical determinant, influencing patient prognosis and therapeutic response. However, the cellular and molecular mechanisms underlying these differences remain poorly understood. Recent advances in single-cell RNA sequencing (sc-seq) provide high-resolution insights into CRC heterogeneity, revealing distinct tumor, immune, and stromal cell populations and their context-specific interactions. In this review, we synthesize sc-seq studies that dissect the molecular programs driving progression, therapy resistance, and metastasis in CRC. We highlight malignant subclusters characterized by metabolic reprogramming and spatially organized oncogenic signaling; specialized immune cell states, including macrophage subsets, exhausted T cells, and mast cells, that shape tumor immunity; and stromal elements such as cancer-associated fibroblasts and endothelial tip cells that remodel the extracellular matrix, promote angiogenesis, and foster immune evasion. Importantly, sc-seq demonstrates that LCRC and RCRC represent distinct multicellular ecosystems with differential immune recruitment and stromal signaling, underscoring the need for sidedness-informed therapeutic strategies. We propose that future interventions should target cell-cell communication networks and spatially defined tumor-microenvironment interactions to overcome heterogeneity and improve clinical outcomes.

Indexed as

cancer-associated fibroblastscell-cell interactionscolorectal cancerimmunotherapyleft-sided and right-sided colorectal cancermetastasissingle-cell RNA sequencingtumor-associated macrophages

Identifiers

PMID41450739
PMCPMC12727991

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.