Evidence map›Paper›PMID 40351380›Full record

ArticleTherapeutic advances in gastroenterology2025

Partial response to posterior line immunotherapy for more than 15 months in a pMMR patient with cutaneous metastasis of rectal carcinoma: a case report.

Jing-Jing Li, Peng-Fei Xu, Yan-Li Nie

Abstract readCase Reports
In one paragraph

Article in Therapeutic advances in gastroenterology, 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

3 authors.

Jing-Jing LiDepartment of Abdominal Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong.ORCID https://orcid.org/0009-0004-9893-3665
Peng-Fei XuDepartment of Abdominal Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong.
Yan-Li NieDepartment of Abdominal Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The vast majority of colorectal cancers (CRCs) are proficient mismatch repair (pMMR) and microsatellite stable, and their immune microenvironment appears as a "cold tumor," which is not sensitive to single immunotherapy based on immune checkpoint inhibitors (ICIs). The utilization of ICIs in pMMR advanced CRC is still in the exploratory phase. Cutaneous metastasis from colorectal carcinoma is extremely rare, presenting with diverse clinical manifestations, and there is a lack of standard treatment options for such cases. Patients with skin metastasis from CRC usually progress rapidly and are associated with a dismal prognosis. Herein, we report the case of a 66-year-old woman with extensive cutaneous metastasis of pMMR advanced rectal carcinoma. The patient presented to the abdominal oncology clinic with a complaint of erythema on the right lower limb, perineum, and abdominal skin. The patient underwent radical surgery for rectal carcinoma 3 years before the presentation. The histologic examination revealed low-grade squamous cell subepithelial adenocarcinoma. The patient was treated with sintilizumab in combination with fruquintinib, which exhibited remarkable efficacy and improved the patient's quality of life significantly. Previous cases of cutaneous metastasis of colorectal carcinoma were retrieved to characterize the clinicopathological features. For the rare subset of patients with skin metastasis from CRC, immunotherapy combined with anti-angiogenic targeted therapy may be considered.

Indexed as

case reportcolorectal carcinomacutaneous metastasisimmunotherapyproficient mismatch repair

Identifiers

PMID40351380
PMCPMC12062587

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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.