Evidence map›Paper›PMID 42162441›Full record

ReviewThe AAPS journal2026

HLA Class II Alleles DRB1*11:01 and DQB1*03:01 Unmask Immunogenetic Susceptibility to Anti-Nivolumab Antibodies in Combination with Ipilimumab.

Surendran Rajendran, Andres H Gutierrez, Ming-Shan Chien, Tracy Tang, Jochem Gokemeijer, Daron Forman, Anne S De Groot, Vibha Jawa, Lora Hamuro

Abstract readReview
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In one paragraph

Review in The AAPS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Surendran RajendranClinical Pharmacology & Pharmacometrics, Bristol Myers Squibb, 3551 Lawrenceville Road, Princeton, NJ, 08543, United States of America.
Andres H GutierrezEpiVax, Inc., Providence, RI, United States of America.ORCID 0000-0002-6127-8327
Ming-Shan ChienInformatics & Predictive Sciences Research, Bristol Myers Squibb, Princeton, NJ, United States of America.ORCID 0000-0003-3626-676X
Tracy TangInformatics & Predictive Sciences Research, Bristol Myers Squibb, Princeton, NJ, United States of America.ORCID 0000-0003-4653-7244
Jochem GokemeijerDiscovery Biotherapeutics, Bristol Myers Squibb, Cambridge, MA, United States of America.ORCID 0009-0003-3640-5966
Daron FormanDiscovery Biotherapeutics, Bristol Myers Squibb, Cambridge, MA, United States of America.ORCID 0009-0004-3452-5531
Anne S De GrootEpiVax, Inc., Providence, RI, United States of America.ORCID 0000-0001-5911-1459
Vibha JawaEpiVax, Inc., Providence, RI, United States of America. vjawa@epivax.com.ORCID 0000-0001-7019-729X
Lora HamuroClinical Pharmacology & Pharmacometrics, Bristol Myers Squibb, 3551 Lawrenceville Road, Princeton, NJ, 08543, United States of America. lora.hamuro@bms.com.ORCID 0000-0003-2367-1926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biologic combinations that modulate immune responses are increasingly used in oncology, enhancing anti-tumor immunity but also raising the risk of anti-drug antibody (ADA) development. Nivolumab administered in combination with ipilimumab results in significantly higher nivolumab ADA incidence (44%) compared to nivolumab monotherapy (12%). While previous analyses showed no clinical impact of nivolumab ADA on safety and efficacy for the combination, it provided a unique dataset to evaluate genetic predispositions to nivolumab ADA development and impact of co-administered ipilimumab. HLA Class II alleles were evaluated for associations with nivolumab ADA. Logistic regression analyses were performed on HLA-DRB1, DQB1, and DQA1 alleles from melanoma subjects treated with nivolumab plus ipilimumab and nivolumab alone. Univariate screening identified candidate alleles that were associated with immunogenicity. This was followed by multivariable modeling to assess independent and combined effects after accounting for sex, age and region. Multivariable analyses indicated that DRB1*11:01 (Odds Ratio (OR) = 2.5, p-value (p) = 0.011) and DQB1*03:01 (OR = 3.2, p = 0.0002) were each significantly associated with nivolumab ADA positivity in combination therapy. The combined presence of both alleles conferred an even stronger association (OR = 4.1, p = 0.0017). No significant associations were observed for nivolumab monotherapy. In silico predictions and MHC-associated peptide proteomics (MAPPs) confirmed high-affinity binding of a nivolumab framework peptide (a known Treg epitope) to DRB1*11:01. DRB1*11:01 and DQB1*03:01 may predict anti-nivolumab antibody development in the context of combination therapy. These findings underscore the role of host genetics and immune modulation by ipilimumab in shaping immunogenicity.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsHLA-DQ beta-ChainsHLA-DRB1 ChainsIpilimumabMelanomaNivolumabAdultAgedAllelesFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedHLA-DQB1 antigenHLA-DQ beta-ChainsHLA-DRB1*11 antigenHLA-DRB1 ChainsIpilimumabNivolumab(ADA)anti-drug antibodiesHLA-restrictionimmunogenicityipilimumabnivolumab

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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.