Evidence map›Paper›PMID 41392153›Full record

ReviewHuman genomics2025

Early mutational events and clonal dynamics in normal crypts: implications for colorectal tumorigenesis.

Charlie Marvalim, Dedrick Kok Hong Chan

Abstract readReview
In one paragraph

Review in Human genomics, 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. Review
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

2 authors.

Charlie MarvalimDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Dedrick Kok Hong ChanDepartment of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. surckhd@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer has widely been described by the classic adenoma-carcinoma sequence, where sequential mutations in APC, KRAS, and TP53 drive the transition from normal epithelium to carcinoma. However, recent high-resolution genomic analyses have expanded this framework by revealing the presence of multiple driver mutations within morphologically normal colonic crypts. In this review, we summarize the emerging landscape of several somatic driver mutations in normal crypts, highlighting genes that were reported to be under positive selection, such as FBXW7, STAG2, AXIN2, PIK3CA, ERBB2, and ERBB3, and discuss their known functions in both normal epithelium and colorectal cancer. We also postulate the functional consequences of these mutations in the overall priming of colonic crypts to potential tumorigenesis. Despite their presence, the frequencies of these mutations in both normal epithelial and colorectal cancers are low, and most of them do not progress to malignancy. We therefore discuss the intrinsic and extrinsic factors that dictate the fate of these crypts. Together, these findings underscore that tumor-initiating events in colorectal cancer may occur much earlier than previously recognized. A deeper understanding of these early driver events may help to better inform strategies for early detection, risk stratification, and prevention before these morphologically normal crypts transform into neoplasia.

Indexed as

CarcinogenesisCell Transformation, NeoplasticColorectal NeoplasmsMutationClonal EvolutionHumansCell-autonomous effectsClonal evolutionColorectal cancerIntratumoral heterogeneityMicroenvironmental interactionsSomatic driver mutationsTumor-initiating events

Identifiers

PMID41392153
PMCPMC12713239

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.