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Long-term toxicities with immune checkpoint inhibitor (ICI) in melanoma patients.

2022· article· en· W4286294474 on OpenAlexaff
Justin Tong, Baskoro Kartolo, Cynthia Yeung, Wilma M. Hopman, Tara Baetz

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineAdverse effectMelanomaRegimenPopulationAdjuvantInternal medicineIpilimumabSurgeryRetrospective cohort studyImmunotherapyCancer

Abstract

fetched live from OpenAlex

e21549 Background: The incorporation of ICI into the treatment of melanoma has greatly improved patient outcomes, but this benefit has come at the cost of exposing patients to immune-related adverse events (irAEs). A wide spectrum of irAE types has been described, and severity is known to vary from minor to life-threatening; however, the literature to date on the chronicity of irAEs is limited. Objectives: To characterize the long-term and permanent irAEs associated with ICI treatment in patients with melanoma, the treatment of irAEs and the association with survival outcomes. Methods: We performed a retrospective chart review of 161 adult patients with melanoma treated with at least one cycle of ICI regimen in the adjuvant or metastatic setting: 129 patients received PD-1 inhibitor monotherapy and 32 received dual immunotherapy. Patients were grouped by duration of irAE: permanent (no complete resolution), long-term (resolution over a period ≥6 months), transient (resolution over a period < 6 months), or no irAEs. Overall survival was evaluated for those patients that were treated in the metastatic setting with PD1 inhibitor monotherapy. Results: Thirty-eight patients were treated in the adjuvant setting and 123 patients were treated in the metastatic setting. A total of 279 irAEs were reported in the whole patient population. Sixty-six (41.0%) patients developed permanent irAEs, 15 (9.3%) experienced long-term irAEs as their longest-lasting toxicity, 34 (21.1%) developed transient irAEs only, and 46 (28.6%) experienced no irAEs. Permanent irAEs occurred in 21 (65.6%) patients treated with dual immunotherapy and in 45 (34.9%) patients treated with monotherapy. The majority of permanent irAEs were endocrine-related (35.5%) or skin-related (32.7%). Grade ≥3 permanent irAEs occurred in 20 (12.4%) patients and included toxicities such as adrenal insufficiency, myocarditis, and myelitis. Fifty-three (32.9%) patients were still on treatment for long-term or permanent irAEs 6 months or more following completion of ICI therapy, including 23 patients on thyroid replacement and 22 on oral steroids. ICI treatment was temporarily interrupted for 63 (22.6%) irAEs and permanently discontinued due to irAE in 38 (13.6%) patients. Subgroup analysis of patients who received single-agent ICI in the first-line palliative setting reveals that those with longer-duration irAEs had a significantly longer median overall survival. Conclusions: Despite the significant benefits, treatment with ICIs in melanoma is associated with a wide range of toxicities that can be permanent and may have long-lasting impacts on patients. The risk of long-term toxicity should therefore be discussed when obtaining consent for treatment. As these treatments are being used more commonly in the adjuvant setting, the impact of survivorship and the long-term management of these toxicities is increasingly important.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.391
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2022
Admission routes1
Has abstractyes

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