Evidence map›Paper›PMID 33837006›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

Myeloid Cell-associated Resistance to PD-1/PD-L1 Blockade in Urothelial Cancer Revealed Through Bulk and Single-cell RNA Sequencing.

Li Wang, John P Sfakianos, Kristin G Beaumont, Guray Akturk, Amir Horowitz, Robert P Sebra, Adam M Farkas, Sacha Gnjatic, Austin Hake, Sudeh Izadmehr and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
12.8field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 84 citations in OpenAlex.

  1. Trial
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  7. Single-cell sequencing: accurate disease detection.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  8. Article
  9. Review
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  11. Review
  12. Article
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  14. Progress in understanding the regulatory mechanisms of immune checkpoint proteins PD-1 and PD-L1 expression.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  15. Article
  16. Review
  17. COSMIC-021 Phase Ib Study of Cabozantinib Plus Atezolizumab: Results from the Locally Advanced or Metastatic Urothelial Carcinoma Cohorts.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  18. Construction of M2 macrophage-related gene signature for predicting prognosis and revealing different immunotherapy response in bladder cancer patients.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 6 institutions in 2 countries.

Li WangIcahn Institute for Data Science and Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, New York.
John P SfakianosDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York.
Kristin G BeaumontIcahn Institute for Data Science and Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, New York.
Guray AkturkPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-7032-8085
Amir HorowitzPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Robert P SebraIcahn Institute for Data Science and Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, New York.
Adam M FarkasPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-5813-9473
Sacha GnjaticPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0001-5643-9520
Austin HakeIcahn Institute for Data Science and Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-5427-4176
Sudeh IzadmehrDivision of Hematology Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, New York.ORCID 0000-0001-8948-5689
Peter WiklundDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York.
William K OhDivision of Hematology Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, New York.
Peter M SzaboBristol-Myers Squibb, Princeton, New Jersey.
Megan Wind-RotoloBristol-Myers Squibb, Princeton, New Jersey.ORCID 0000-0001-8063-9928
Keziban Unsal-KacmazBristol-Myers Squibb, Princeton, New Jersey.
Xin YaoDepartment of Genitourinary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, P.R. China.
Eric SchadtIcahn Institute for Data Science and Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, New York.
Padmanee SharmaDepartment of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas.
Nina BhardwajPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York. matthew.galsky@mssm.edu jun.zhu@mssm.edu Nina.bhardwaj@mssm.edu.
Jun ZhuIcahn Institute for Data Science and Genomics Technology, Icahn School of Medicine at Mount Sinai, New York, New York. matthew.galsky@mssm.edu jun.zhu@mssm.edu Nina.bhardwaj@mssm.edu.
Matthew D GalskyDivision of Hematology Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, Tisch Cancer Institute, New York, New York. matthew.galsky@mssm.edu jun.zhu@mssm.edu Nina.bhardwaj@mssm.edu.ORCID 0000-0001-7655-9378
Icahn School of Medicine at Mount Sinai · USSema4 (United States) · USTisch Hospital · USBristol-Myers Squibb (United States) · USThe University of Texas MD Anderson Cancer Center · USTianjin Medical University Cancer Institute and Hospital · CN

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5M
Modulating anti-HIV immunity by plasmacytoid dendritic cellsR01AI081848 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BHARDWAJ, NINA · 2010 to 2021
$4.5M
Dissecting myeloid cell-mediated resistance to immune checkpoint blockade in bladder cancerR01CA249175 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BHARDWAJ, NINA, GALSKY, MATTHEW · 2020 to 2024
$3.5M
NK cell exhaustion in metastatic melanomaR01CA201189 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BHARDWAJ, NINA · 2016 to 2020
$2.1M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
NCI NIH HHS P30 CA196521NCI NIH HHS R01 CA201189NCI NIH HHS R01 CA249175NCI NIH HHS U24 CA224319NIAID NIH HHS R01 AI081848NIH HHS S10 OD026880
6 · The paper itself

Abstract

purposeTo define dominant molecular and cellular features associated with PD-1/PD-L1 blockade resistance in metastatic urothelial cancer. EXPERIMENTAL

designWe pursued an unbiased approach using bulk RNA sequencing data from two clinical trials to discover (IMvigor 210) and validate (CheckMate 275) pretreatment molecular features associated with resistance to PD-1/PD-L1 blockade in metastatic urothelial cancer. We then generated single-cell RNA sequencing (scRNA-seq) data from muscle-invasive bladder cancer specimens to dissect the cellular composition underlying the identified gene signatures.

resultsWe identified an adaptive immune response gene signature associated with response and a protumorigenic inflammation gene signature associated with resistance to PD-1/PD-L1 blockade. The adaptive immune response:protumorigenic inflammation signature expression ratio, coined the 2IR score, best correlated with clinical outcomes, and was externally validated. Mapping these bulk gene signatures onto scRNA-seq data uncovered their underlying cellular diversity, with prominent expression of the protumorigenic inflammation signature by myeloid phagocytic cells. However, heterogeneity in expression of adaptive immune and protumorigenic inflammation genes was observed among single myeloid phagocytic cells, quantified as the myeloid single cell immune:protumorigenic inflammation ratio (M

conclusionsThe balance of adaptive immunity and protumorigenic inflammation in individual tumor microenvironments is associated with PD-1/PD-L1 resistance in urothelial cancer with the latter linked to a proinflammatory cellular state of myeloid phagocytic cells detectable in tumor and blood.

Indexed as

Sequence Analysis, RNACarcinoma, Transitional CellDrug Resistance, NeoplasmHumansImmune Checkpoint InhibitorsMyeloid CellsUrinary Bladder NeoplasmsImmune Checkpoint Inhibitors

Identifiers

PMID33837006
PMCPMC8338756
OpenAlexW3141281714

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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.