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Correlation of immune-related adverse events with peripheral baseline immune markers and overall survival in patients with metastatic melanoma on ipilimumab and chemotherapy.

2019· article· en· W2947377968 on OpenAlexaff
Khashayar Esfahani, Paméla Thébault, Réjean Lapointe, Rahima Jamal, Wilson H. Miller

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineIpilimumabInternal medicineGastroenterologyAdverse effectMelanomaRashImmunotherapyCancer

Abstract

fetched live from OpenAlex

9561 Background: Very few predictive markers have been validated for immune-related adverse events (irAE), which are the number one reason for cessation of treatment and treatment-related deaths on checkpoint inhibitors. In a phase II trial of combined ipilimumab (ipi) with carboplatin/paclitaxel (C/P) (NCT01676649), we sought to determine baseline peripheral blood markers predictive of irAEs and to correlate these adverse with subsequent survival. Methods: Thirty patients with untreated unresectable/metastatic melanoma were treated with C (AUC = 6) and P (175mg/m2) every 3 weeks x 5 and Ipi (3mg/kg) every 3 weeks x 4. irAEs were graded according to the CTCAE v5.0. Median follow-up was 60 months. Baseline blood markers was assessed by a 37 multiplex cytokine-chemokine platform (Meso Scale Discovery) and multiparameter flow cytometry. Results: Grade 2 or higher irAE occurred in 11/30 of patients (4 colitis, 2 hepatitis, 2 hypophysitis, 3 rash). Median survival was 43.8 months in patients with irAE and 14.5 months for those without irAE (p = 0.001). Pts with irAE had lower baseline circulating levels of IL-6 (3.6 vs. 19.8 pg/mL, p = 0.049), TNF alpha (7.6 vs. 11.6 pg/mL, p = 0.003), CXCL9 (83.4 vs. 116.8 pg/mL, p = 0.042) and CCL3 (52.3 vs. 76.4 pg/mL, p = 0.012), but higher baseline circulating dendritic cells (DC) (4.9 vs. 2.9 % of total PBMC, p = 0.002) and a lower level of myeloid-derived suppressor cells (MDSC) (0.8 vs. 1.7 %, p = 0.049). There was no correlation between baseline B cell circulating numbers or differentiation and irAEs. Conclusions: Although results from previous studies of ipi monotherapy vary, our small study shows a highly significant correlation between irAEs and improved long term outcome for patients treated with ipi/C/P. Our exploratory analysis also identifies putative predictive immune and cytokine-chemokine markers of irAEs, which are associated with: 1) Antigen presentation dysregulation (high DC cells) and lack of adequate auto-immune suppression (low MDSC), as also seen in classic autoimmune diseases; and 2) A low inflammatory baseline signature (low TNF, IL-6, CCL3, CXCL9) consistent with possible immune exhaustion and reduced lymphocytic homeostatic fitness. Our combined markers depict a dysregulated immune landscape favorable to the expansion of self-reactive immune cells under CTLA-4 blockade. Our results are hypothesis generating and require further evaluation in a larger group of patients, including PD-1 treated cohorts. Clinical trial information: NCT01676649.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.328
Teacher spread0.309 · 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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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