Evidence map›Paper›PMID 42781368›Full record

ReviewFrontiers in oncology2026

Molecularly informed preoperative and response-adapted management of colorectal cancer: evidence, decision boundaries, and emerging directions.

Wenjing Hao, Yan Liu, Haidong Cheng, Mingxing Hou

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

4 authors.

Wenjing HaoInner Mongolia Medical University, Hohhot, China.
Yan LiuAffiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Haidong ChengAffiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Mingxing HouAffiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment delivered before surgery in colorectal cancer now encompasses several clinically distinct strategies rather than one uniform pathway. These include selective neoadjuvant chemotherapy for radiologically high-risk colon cancer, total neoadjuvant therapy (TNT) and response-adapted organ preservation in rectal cancer, immunotherapy for mismatch repair-deficient or microsatellite instability-high (dMMR/MSI-H) disease, and perioperative or conversion treatment for colorectal liver metastases (CRLM). This Review separates these settings by treatment intent, expected endpoint, likelihood of surgery, and evidence maturity. MMR/MSI has direct treatment relevance in localized disease; RAS/BRAF status and primary tumor sidedness mainly inform metastatic and conversion strategies; HER2-directed treatment remains supported principally by advanced-disease data; and circulating tumor DNA (ctDNA), radiomics, and other dynamic tools remain adjunctive or investigational for most preoperative decisions. Quantitative results from pivotal trials are summarized alongside practical decision boundaries, including clinical complete response assessment, watch-and-wait surveillance, CRLM resectability reassessment, and stopping rules. The central message is deliberately cautious: moving treatment earlier is useful only when the clinical scenario, therapeutic aim, evidence level, reassessment plan, and salvage pathway are defined before treatment begins.

Indexed as

colorectal cancercolorectal liver metastasesimmunotherapymolecular profilingneoadjuvant therapyorgan preservationtotal neoadjuvant therapywatch-and-wait

Identifiers

PMID42781368
PMCPMC13598835

What OpenQuestion holds

Textmetadata
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.