Evidence map›Paper›PMID 34471493›Full record

ArticleComputational and structural biotechnology journal2021

Identification of subtypes correlated with tumor immunity and immunotherapy in cutaneous melanoma.

Qian Liu, Rongfang Nie, Mengyuan Li, Lin Li, Haiying Zhou, Hui Lu, Xiaosheng Wang

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

7 authors.

Qian LiuBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Rongfang NieBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Mengyuan LiBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Lin LiBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Haiying ZhouDepartment of Orthopedics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
Hui LuDepartment of Orthopedics, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
Xiaosheng WangBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because immune checkpoint inhibitors (ICIs) are effective for a subset of melanoma patients, identification of melanoma subtypes responsive to ICIs is crucial. We performed clustering analyses to identify immune subtypes of melanoma based on the enrichment levels of 28 immune cells using transcriptome datasets for six melanoma cohorts, including four cohorts not treated with ICIs and two cohorts treated with ICIs. We identified three immune subtypes (Im-H, Im-M, and Im-L), reproducible in these cohorts. Im-H displayed strong immune signatures, low stemness and proliferation potential, genomic stability, high immunotherapy response rate, and favorable prognosis. Im-L showed weak immune signatures, high stemness and proliferation potential, genomic instability, low immunotherapy response rate, and unfavorable prognosis. The pathways highly enriched in Im-H included immune, MAPK, apoptosis, calcium, VEGF, cell adhesion molecules, focal adhesion, gap junction, and PPAR. The pathways highly enriched in Im-L included Hippo, cell cycle, and ErbB. Copy number alterations correlated inversely with immune signatures in melanoma, while tumor mutation burden showed no significant correlation. The molecular features correlated with favorable immunotherapy response included immune-promoting signatures and pathways of PPAR, MAPK, VEGF, calcium, and glycolysis/gluconeogenesis. Our data recapture the immunological heterogeneity in melanoma and provide clinical implications for the immunotherapy of melanoma.

Indexed as

Clustering analysisDMFS, distant-metastasis free survivalDSS, disease-specific survivalEMT, epithelial-mesenchymal transitionFDR, false discovery rateGO, gene ontologyGSEA, gene-set enrichment analysisHLA, human leukocyte antigenHRD, homologous recombination deficiencyICIs, immune checkpoint inhibitorsImmune subtypesImmunotherapyMDSC, myeloid-derived suppressor cellMelanomaNK, natural killerOS, overall survivalSCNAs, somatic copy number alterationsssGSEA, single-sample gene-set enrichment analysisTCGA, The Cancer Genome AtlasTIME, tumor immune microenvironmentTMB, tumor mutation burdenTME, tumor microenvironmentTumor immune microenvironmentWGCNA, weighted gene co-expression network analysis

Identifiers

PMID34471493
PMCPMC8379294

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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.