Evidence map›Paper›PMID 33547395›Full record

ArticleScientific reports2021

NLRC5/CITA expression correlates with efficient response to checkpoint blockade immunotherapy.

Sayuri Yoshihama, Steven X Cho, Jason Yeung, Xuedong Pan, Gregory Lizee, Kranti Konganti, Valen E Johnson, Koichi S Kobayashi

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Review
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  9. Targeted demethylation and activation ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Immunopeptidomics in the cancer immunotherapy era.Exploration of targeted anti-tumor therapy · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. Journal for immunotherapy of cancer · 2023
    Article
  16. Response to "Journal for immunotherapy of cancer · 2023
    Article
  17. Article
  18. Review
  19. 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

8 authors.

Sayuri YoshihamaDepartment of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, 415A Reynolds Medical Building, College Station, TX, 77843, USA.
Steven X ChoDepartment of Immunology, Graduate School of Medicine, Hokkaido University, Kita 15, Nishi 7, Kita-ku, Sapporo, 060-8638, Japan.
Jason YeungDepartment of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, 415A Reynolds Medical Building, College Station, TX, 77843, USA.
Xuedong PanDepartment of Statistics, Texas A&M University, College Station, TX, 77843, USA.
Gregory LizeeDepartments of Melanoma Medical Oncology and Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77054, USA.ORCID 0000-0003-4449-7461
Kranti KongantiTexas A&M Institute for Genome Science and Society, Texas A&M University, College Station, TX, 77843, USA.
Valen E JohnsonDepartment of Statistics, Texas A&M University, College Station, TX, 77843, USA.
Koichi S KobayashiDepartment of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, 415A Reynolds Medical Building, College Station, TX, 77843, USA. kskobayashi@med.hokudai.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Checkpoint blockade-mediated immunotherapy is emerging as an effective treatment modality for multiple cancer types. However, cancer cells frequently evade the immune system, compromising the effectiveness of immunotherapy. It is crucial to develop screening methods to identify the patients who would most benefit from these therapies because of the risk of the side effects and the high cost of treatment. Here we show that expression of the MHC class I transactivator (CITA), NLRC5, is important for efficient responses to anti-CTLA-4 and anti-PD1 checkpoint blockade therapies. Melanoma tumors derived from patients responding to immunotherapy exhibited significantly higher expression of NLRC5 and MHC class I-related genes compared to non-responding patients. In addition, multivariate analysis that included the number of tumor-associated non-synonymous mutations, predicted neo-antigen load and PD-L2 expression was capable of further stratifying responders and non-responders to anti-CTLA4 therapy. Moreover, expression or methylation of NLRC5 together with total somatic mutation number were significantly correlated with increased patient survival. These results suggest that NLRC5 tumor expression, alone or together with tumor mutation load constitutes a valuable predictive biomarker for both prognosis and response to anti-CTLA-4 and potentially anti-PD1 blockade immunotherapy in melanoma patients.

Indexed as

Gene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsImmunotherapyIntracellular Signaling Peptides and ProteinsMelanomaMutationPrognosisImmune Checkpoint InhibitorsIntracellular Signaling Peptides and ProteinsNLRC5 protein, human

Identifiers

PMID33547395
PMCPMC7865024

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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.