Evidence map›Paper›PMID 41488619›Full record

ReviewFrontiers in immunology2025

Severe systemic cutaneous adverse reactions following camrelizumab therapy: a case report and literature review.

Yuan-Dong Sun, Wen-Jia Guo, Jian-Jun Han

Abstract readCase ReportsReview
In one paragraph

Review in Frontiers in immunology, 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.

Yuan-Dong SunCancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Wen-Jia Guo *Cancer Research Institute, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.
Jian-Jun Han *Center of Interventional Radiology, Shandong Cancer Hospital and Institute Affiliated Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a case of a 42-year-old female patient with lip squamous cell carcinoma who developed a severe systemic cutaneous adverse reaction following camrelizumab therapy. The patient had previously undergone wide local excision, chemotherapy, and radiotherapy before receiving camrelizumab in combination with transcatheter arterial chemoembolization. Ten days after the initial infusion, she presented with generalized desquamation, hyperpigmented lesions, and skin breakdown involving the trunk and extremities, most prominently on the hands, arms, and legs. Corticosteroid therapy led to a rapid reduction in pruritus and gradual improvement of cutaneous lesions, with marked healing observed after one week. Remarkably, upon rechallenge with camrelizumab, only mild residual hyperpigmentation was noted without recurrence of severe symptoms. This case highlights the importance of recognizing camrelizumab-associated dermatologic toxicity, emphasizes the role of timely corticosteroid intervention, and suggests that cautious rechallenge may be feasible in selected patients. Further investigation is warranted to elucidate the immunopathological mechanisms underlying severe skin reactions to PD-1 inhibitors and to optimize prevention and management strategies.

Indexed as

Antibodies, Monoclonal, HumanizedCarcinoma, Squamous CellDrug EruptionsImmune Checkpoint InhibitorsAdultFemaleHumansSkinAntibodies, Monoclonal, HumanizedcamrelizumabImmune Checkpoint Inhibitorscamrelizumabcorticosteroid managementimmune checkpoint inhibitorssevere cutaneous adverse reactionsquamous cell carcinoma

Identifiers

PMID41488619
PMCPMC12757287

What OpenQuestion holds

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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.