Evidence map›Paper›PMID 36332624›Full record

ArticleCancer cell2022

Tumor-intrinsic SIRPA promotes sensitivity to checkpoint inhibition immunotherapy in melanoma.

Zhicheng Zhou, Mei-Ju May Chen, Yikai Luo, Kamalika Mojumdar, Xin Peng, Hu Chen, Shweta V Kumar, Rehan Akbani, Yiling Lu, Han Liang

Open access · greenAbstract read
In one paragraph

Article in Cancer cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Innate Immune Cells in Melanoma: Implications for Immunotherapy.International journal of molecular sciences · 2024
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Zhicheng ZhouDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Mei-Ju May ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yikai LuoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
Kamalika MojumdarDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Xin PengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Hu ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Shweta V KumarDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Rehan AkbaniDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yiling LuDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
The University of Texas MD Anderson Cancer Center SPORE in MelanomaP50CA221703 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DAVIES, MICHAEL · 2019 to 2023
$10.3M
TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic DataU24CA209851 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN, MILLS, GORDON B. · 2016 to 2020
$4.0M
The Cancer Proteome Atlas: an Integrated Bioinformatics Resource for Functional Cancer Proteomic DataU24CA264128 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Rehan Akbani, Han Liang · 2022 to 2026
$3.9M
Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancerU01CA217842 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENEEN, BENJAMIN, MILLS, GORDON B. · 2017 to 2021
$3.6M
Characterization and modeling of m6A RNA methylation in cancerR01CA251150 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN · 2020 to 2024
$2.7M
Mechanistic maps of adaptive responses to therapeutic stress to optimize combination therapies.U01CA253472 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI KORKUT, ANIL, LIANG, HAN · 2021 to 2025
$2.6M
Functional Proteomics by Reverse Phase Protein Array in CancerR50CA221675 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LU, YILING · 2017 to 2021
$726k
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA221703NCI NIH HHS R01 CA251150NCI NIH HHS R50 CA221675NCI NIH HHS U01 CA217842NCI NIH HHS U01 CA253472NCI NIH HHS U24 CA209851NCI NIH HHS U24 CA264128
6 · The paper itself

Abstract

Checkpoint inhibition immunotherapy has revolutionized cancer treatment, but many patients show resistance. Here we perform integrative transcriptomic and proteomic analyses on emerging immuno-oncology targets across multiple clinical cohorts of melanoma under anti-PD-1 treatment, on both bulk and single-cell levels. We reveal a surprising role of tumor-intrinsic SIRPA in enhancing antitumor immunity, in contrast to its well-established role as a major inhibitory immune modulator in macrophages. The loss of SIRPA expression is a marker of melanoma dedifferentiation, a key phenotype linked to immunotherapy efficacy. Inhibition of SIRPA in melanoma cells abrogates tumor killing by activated CD8

Indexed as

CD8-Positive T-LymphocytesMelanomaAnimalsAntigens, DifferentiationB7-H1 AntigenEcosystemHumansImmunotherapyMiceProteomicsReceptors, ImmunologicAntigens, DifferentiationB7-H1 AntigenReceptors, ImmunologicSIRPA protein, humananti-PD-1 treatmentbiomarkerimmunotherapysingle-cell analysistherapeutic target

Identifiers

PMID36332624
PMCPMC9669221
OpenAlexW4308254806

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.