Evidence map›Paper›PMID 36106402›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Baseline Serum Autoantibody Signatures Predict Recurrence and Toxicity in Melanoma Patients Receiving Adjuvant Immune Checkpoint Blockade.

Paul Johannet, Wenke Liu, David Fenyo, Megan Wind-Rotolo, Michelle Krogsgaard, Janice M Mehnert, Jeffrey S Weber, Judy Zhong, Iman Osman

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.1field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 39 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Paul JohannetDepartment of Medicine, NYU Grossman School of Medicine, New York, New York.
Wenke LiuDepartment of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, New York.
David FenyoDepartment of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0001-5049-3825
Megan Wind-RotoloBristol-Myers Squibb, Princeton, New Jersey.
Michelle KrogsgaardDepartment of Pathology NYU, Grossman School of Medicine, New York, New York.ORCID 0000-0001-5006-7981
Janice M MehnertDepartment of Medicine, NYU Grossman School of Medicine, New York, New York.
Jeffrey S WeberDepartment of Medicine, NYU Grossman School of Medicine, New York, New York.
Judy ZhongDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Iman OsmanDepartment of Medicine, NYU Grossman School of Medicine, New York, New York.ORCID 0000-0002-1472-1971
New York University · USBristol-Myers Squibb (United States) · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
Investigational Cancer Therapeutics Training Program (ICTTP)T32CA009207 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Omar Abdel-Wahab, Alexander Drilon · 1985 to 2026
$13.7M
Project 4P50CA225450 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIRCHHOFF, TOMAS · 2019 to 2025
$12.5M
EHR-based vs population-based CVD risk predictions for older patients with diabetesR01AG065330 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI ZHONG, HUA JUDY · 2020 to 2024
$2.9M
(PQ8) Predicting immune-related toxicity in the adjuvant melanoma setting with checkpoint inhibitionR01CA231295 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSMAN, IMAN, WEBER, JEFFREY S · 2018 to 2022
$2.4M
CVD Risk and Outcome Heterogeneity in Older Adults with DiabetesR01AG054467 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BLAUM, CAROLINE S, ZHONG, HUA JUDY · 2017 to 2020
$1.7M
NCI NIH HHS P30 CA016087NCI NIH HHS P50 CA225450NCI NIH HHS R01 CA231295NCI NIH HHS T32 CA009207NIA NIH HHS R01 AG054467NIA NIH HHS R01 AG065330
6 · The paper itself

Abstract

purposeAdjuvant immunotherapy produces durable benefit for patients with resected melanoma, but many develop recurrence and/or immune-related adverse events (irAE). We investigated whether baseline serum autoantibody (autoAb) signatures predicted recurrence and severe toxicity in patients treated with adjuvant nivolumab, ipilimumab, or ipilimumab plus nivolumab. EXPERIMENTAL

designThis study included 950 patients: 565 from CheckMate 238 (408 ipilimumab versus 157 nivolumab) and 385 from CheckMate 915 (190 nivolumab versus 195 ipilimumab plus nivolumab). Serum autoAbs were profiled using the HuProt Human Proteome Microarray v4.0 (CDI Laboratories, Mayaguez, PR). Analysis of baseline differentially expressed autoAbs was followed by recurrence and severe toxicity signature building for each regimen, testing of the signatures, and additional independent validation for nivolumab using patients from CheckMate 915.

resultsIn the nivolumab independent validation cohort, high recurrence score predicted significantly worse recurrence-free survival [RFS; adjusted HR (aHR), 3.60; 95% confidence interval (CI), 1.98-6.55], and outperformed a model composed of clinical variables including PD-L1 expression (P < 0.001). Severe toxicity score was a significant predictor of severe irAEs (aHR, 13.53; 95% CI, 2.59-86.65). In the ipilimumab test cohort, high recurrence score was associated with significantly worse RFS (aHR, 3.21; 95% CI, 1.38-7.45) and severe toxicity score significantly predicted severe irAEs (aHR, 11.04; 95% CI, 3.84-37.25). In the ipilimumab plus nivolumab test cohort, high autoAb recurrence score was associated with significantly worse RFS (aHR, 6.45; 95% CI, 1.48-28.02), and high severe toxicity score was significantly associated with severe irAEs (aHR, 23.44; 95% CI, 4.10-212.50).

conclusionsBaseline serum autoAb signatures predicted recurrence and severe toxicity in patients treated with adjuvant immunotherapy. Prospective testing of the signatures that include datasets with longer follow-up and rare but more severe toxicities will help determine their generalizability and potential clinical utility. See related commentary by Hassel and Luke, p. 3914.

Indexed as

Adjuvants, ImmunologicAntineoplastic Combined Chemotherapy ProtocolsAutoantibodiesMelanomaHumansImmune Checkpoint InhibitorsIpilimumabNivolumabProspective StudiesAdjuvants, ImmunologicAutoantibodiesImmune Checkpoint InhibitorsIpilimumabNivolumab

Identifiers

PMID36106402
PMCPMC9662924
OpenAlexW4295807223

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.