Evidence map›Paper›PMID 35013003›Full record

ArticleCancer immunology research2022

Tumor MHC Class I Expression Associates with Intralesional IL2 Response in Melanoma.

Maryam Pourmaleki, Caitlin J Jones, Charlotte E Ariyan, Zheng Zeng, Mono Pirun, Daniel A Navarrete, Yanyun Li, Mianlei Zhang, Subhiksha Nandakumar, Carl Campos and 22 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 35% 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, 6 citations in OpenAlex.

  1. Review
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  7. Multiplexed Spatial Profiling of Hodgkin Reed-Sternberg Cell Neighborhoods in Classic Hodgkin Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
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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

32 authors at 7 institutions in 2 countries.

Maryam PourmalekiHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4178-9496
Caitlin J JonesBioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8898-0362
Charlotte E AriyanDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Zheng ZengBioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, New York.
Mono PirunBioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, New York.
Daniel A NavarreteHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Yanyun LiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Mianlei ZhangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Subhiksha NandakumarMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-0258-3484
Carl CamposHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Saad NadeemDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
David S KlimstraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8814-1702
Claire F Temple-OberleDepartment of Surgery, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-1199-6590
Thomas BrennDepartment of Pathology, University of Calgary, Calgary, Alberta, Canada.
Evan J LipsonDepartment of Oncology, The Johns Hopkins University School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, and The Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland.ORCID 0000-0003-2976-0911
Kara M SchenkDepartment of Oncology, The Johns Hopkins University School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, and The Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland.ORCID 0000-0001-5147-8301
Julie E SteinDepartment of Pathology, The Johns Hopkins University School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, and The Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland.
Janis M TaubeDepartment of Oncology, The Johns Hopkins University School of Medicine, The Sidney Kimmel Comprehensive Cancer Center, and The Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, Maryland.
Michael G WhiteDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5022-5505
Raymond TraweekDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jennifer A WargoDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
John M KirkwoodDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-3570-4476
Billel GasmiSurgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Stephanie L GoffSurgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0003-3317-9804
Alex D CorwinBiology and Applied Physics, GE Global Research Center, Niskayuna, New York.ORCID 0000-0001-8618-0935
Elizabeth McDonoughBiology and Applied Physics, GE Global Research Center, Niskayuna, New York.ORCID 0000-0001-7524-8260
Fiona GintyBiology and Applied Physics, GE Global Research Center, Niskayuna, New York.ORCID 0000-0001-6638-683X
Margaret K CallahanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrea SchietingerImmunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.
Nicholas D SocciBioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8254-6925
Ingo K MellinghoffHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4347-8149
Travis J HollmannDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · USJohns Hopkins University · USGE Global Research (United States) · USThe University of Texas MD Anderson Cancer Center · USNational Institutes of Health · USUniversity of Calgary · CAUniversity of Pittsburgh · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Leonard J. Appleman · 1988 to 2026
$158.0M
TRAINING OF ACADEMIC SURGICAL ONCOLOGISTST32CA009599 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ashley M Holder, Jennifer A. Wargo · 1988 to 2026
$13.2M
Project 5: Microenvironment manipulation using anti-angiogenics to improve immunotherapy in melanomaP50CA254865 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIRKWOOD, JOHN MUNN, ZAROUR, HASSANE M · 2021 to 2025
$10.4M
Molecular Mechanisms of Drug Resistance in Primary Brain TumorsR35NS105109 · NINDS · SLOAN-KETTERING INST CAN RESEARCH · PI MELLINGHOFF, INGO K · 2018 to 2025
$4.7M
Tri-Institutional PhD Program in Computational Biology & MedicineT32GM132083 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Doron Betel, Iman Hajirasouliha · 2020 to 2026
$3.6M
Opportunities for Pathology Trainees in Cancer ResearchT32CA193145 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANDERS, ROBERT A., EBERHART, CHARLES G · 2015 to 2025
$2.6M
(PQ10) Enhancing responses to immune checkpoint blockade in melanoma via modulation of the microbiomeR01CA219896 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WARGO, JENNIFER A. · 2018 to 2022
$2.2M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA047904NCI NIH HHS P50 CA254865NCI NIH HHS R01 CA219896NCI NIH HHS T32 CA009599NCI NIH HHS T32 CA193145NIGMS NIH HHS T32 GM132083NINDS NIH HHS R35 NS105109
6 · The paper itself

Abstract

Cancer immunotherapy can result in lasting tumor regression, but predictive biomarkers of treatment response remain ill-defined. Here, we performed single-cell proteomics, transcriptomics, and genomics on matched untreated and IL2 injected metastases from patients with melanoma. Lesions that completely regressed following intralesional IL2 harbored increased fractions and densities of nonproliferating CD8+ T cells lacking expression of PD-1, LAG-3, and TIM-3 (PD-1-LAG-3-TIM-3-). Untreated lesions from patients who subsequently responded with complete eradication of all tumor cells in all injected lesions (individuals referred to herein as "extreme responders") were characterized by proliferating CD8+ T cells with an exhausted phenotype (PD-1+LAG-3+TIM-3+), stromal B-cell aggregates, and expression of IFNγ and IL2 response genes. Loss of membranous MHC class I expression in tumor cells of untreated lesions was associated with resistance to IL2 therapy. We validated this finding in an independent cohort of metastatic melanoma patients treated with intralesional or systemic IL2. Our study suggests that intact tumor-cell antigen presentation is required for melanoma response to IL2 and describes a multidimensional and spatial approach to develop immuno-oncology biomarker hypotheses using routinely collected clinical biospecimens.

Indexed as

Interleukin-2MelanomaHepatitis A Virus Cellular Receptor 2HumansImmunotherapyProgrammed Cell Death 1 ReceptorHepatitis A Virus Cellular Receptor 2Interleukin-2Programmed Cell Death 1 Receptor

Identifiers

PMID35013003
PMCPMC8898286
OpenAlexW4206500679

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.