Evidence map›Paper›PMID 38366637›Full record

ArticleThe British journal of dermatology2024

Cancer type and histology influence cutaneous immunotherapy toxicities: a multi-institutional cohort study.

Guihong Wan, Sara Khattab, Bonnie W Leung, Shijia Zhang, Nga Nguyen, Matthew Tran, Chuck Lin, Crystal Chang, Nora Alexander, Ruple Jairath and 12 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The British journal of dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 7% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A pharmacovigilance data-driven approach to reveal high fatal adverse events following checkpoint immunotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 5 institutions in 1 country.

Guihong WanDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Sara KhattabDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Bonnie W LeungDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Shijia ZhangDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Nga NguyenDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Matthew TranDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Chuck LinDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Crystal ChangDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.ORCID 0000-0002-0647-7040
Nora AlexanderDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Ruple JairathDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Jordan PhillippsDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Kimberly TangDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Ahmad RajehDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Leyre ZubiriDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Steven T ChenDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Shadmehr DemehriDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Kun-Hsing YuHarvard Medical School, Boston, MA.
Alexander GusevCenter for Cutaneous Oncology, Department of Dermatology, Dana-Farber Cancer Institute, Boston, MA.
Shawn G KwatraDepartment of Dermatology, Johns Hopkins University, Baltimore, MD, USA.
Nicole R LeBoeufHarvard Medical School, Boston, MA.
Kerry L ReynoldsDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Yevgeniy R SemenovDepartment of Dermatology, Massachusetts General Hospital, Boston, MA.
Massachusetts General Hospital · USHarvard University · USBrigham and Women's Hospital · USDana-Farber Cancer Institute · USJohns Hopkins University · US

Funding

Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule DrugsU54CA225088 · NCI · HARVARD MEDICAL SCHOOL · PI HAIGIS, MARCIA · 2018 to 2022
$10.8M
Robust, Generalizable, and Fair Machine Learning Models for BiomedicineR35GM142879 · NIGMS · HARVARD MEDICAL SCHOOL · PI YU, KUN-HSING · 2021 to 2025
$2.4M
Mitigating Hematologic Adverse Events in Patients with Myeloid Malignancies: A Novel Causal Artificial Intelligence ApproachR01HL174679 · NHLBI · HARVARD MEDICAL SCHOOL · PI Kun-Hsing Yu · 2024 to 2026
$2.3M
Racial Differences in Biomarkers and Therapeutic Targets for Chronic ItchK23AR077073 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI KWATRA, SHAWN GAURAV · 2021 to 2025
$873k
Predictive modeling of cutaneous immune checkpoint inhibitor toxicitiesK23AR080791 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Yevgeniy R Semenov · 2023 to 2026
$704k
Explainable Artificial Intelligence for Melanoma Recurrence Prediction via Integrative Modeling of Multiplexed Imaging with Transcriptomics and HistopathologyK99CA286966 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WAN, GUIHONG · 2024 to 2025
$352k
Department of Defense HT9425-23-1-0523Dermatology Foundation K23AR080791Melanoma Research AllianceNCI NIH HHS K99 CA286966NCI NIH HHS L30 CA264747NCI NIH HHS U54 CA225088NCI NIH HHS U54-CA225088NHLBI NIH HHS R01 HL174679NIAMS NIH HHS K23 AR077073NIAMS NIH HHS K23 AR080791NIGMS NIH HHS R35 GM142879NIH HHS K23AR077073
6 · The paper itself

Abstract

backgroundCutaneous immune-related adverse events (cirAEs) are the most common toxicities to occur in the setting of immune checkpoint inhibitor (ICI) therapy. Identifying patients who are at increased risk of developing cirAEs may improve quality of life and outcomes.

objectivesTo investigate the influence of cancer type and histology on the development of cirAEs in the setting of ICI therapy and survival outcomes.

methodsThis retrospective cohort study included patients recruited between 1 December 2011 and 30 October 2020. They received ICI from 2011 to 2020 with follow-up of outcomes through October 2021. We identified 3668 recipients of ICI therapy who were seen at Massachusetts General Brigham and Dana-Farber. Of these, 669 developed cirAEs. Records that were incomplete or categories of insufficient sample size were excluded from the study cohort. Multivariate Cox proportional hazards models were used to investigate the impact of cancer organ system and histology on cirAE development, after adjusting for demographics, Charlson Comorbidity Index, ICI type, cancer stage at ICI initiation, and year of ICI initiation. Time-varying Cox proportional hazards modelling was used to examine the impact of cirAE development on mortality.

resultsCompared with other nonepithelial cancers (neuroendocrine, leukaemia, lymphoma, myeloma, sarcoma and central nervous system malignancies), cutaneous squamous cell carcinoma [cSCC; hazard ratio (HR) 3.57, P < 0.001], melanoma (HR 2.09, P < 0.001), head and neck adenocarcinoma (HR 2.13, P = 0.009), genitourinary transitional cell carcinoma (HR 2.15, P < 0.001) and genitourinary adenocarcinoma (HR 1.53, P = 0.037) were at significantly higher risk of cirAEs in multivariate analyses. The increased risk of cirAEs translated into an adjusted survival benefit for melanoma (HR 0.37, P < 0.001) and cSCC (HR 0.51, P = 0.011).

conclusionsThe highest rate of cirAEs and subsequent survival benefits were observed in cutaneous malignancies treated with ICI therapies. This study improves our understanding of patients who are at highest risk of developing cirAEs and would, therefore, benefit from appropriate counselling and closer monitoring by their oncologists and dermatologists throughout their ICI therapy. Limitations include its retrospective nature and cohort from one geography.

Indexed as

Immune Checkpoint InhibitorsAdultAgedDrug EruptionsFemaleHumansMaleMiddle AgedNeoplasmsRetrospective StudiesSkin NeoplasmsImmune Checkpoint Inhibitors

Identifiers

PMID38366637
PMCPMC11188738
OpenAlexW4391915207

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.