Evidence map›Paper›PMID 33922038›Full record

ArticleCells2021

Identification of 15 lncRNAs Signature for Predicting Survival Benefit of Advanced Melanoma Patients Treated with Anti-PD-1 Monotherapy.

Jian-Guo Zhou, Bo Liang, Jian-Guo Liu, Su-Han Jin, Si-Si He, Benjamin Frey, Ning Gu, Rainer Fietkau, Markus Hecht, Hu Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  11. Clinical Importance of the lncRNA NEAT1 in Cancer Patients Treated with Immune Checkpoint Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
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  13. The role of LncRNAs in tumor immunotherapy.Cancer cell international · 2023
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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

11 authors at 3 institutions in 2 countries.

Jian-Guo ZhouDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.ORCID 0000-0002-5021-3739
Bo LiangNanjing University of Chinese Medicine, Nanjing 210029, China.ORCID 0000-0002-1749-6976
Jian-Guo LiuSpecial Key Laboratory of Oral Diseases Research, Stomatological Hospital Affiliated to Zunyi Medical University, Zunyi 563000, China.
Su-Han JinSpecial Key Laboratory of Oral Diseases Research, Stomatological Hospital Affiliated to Zunyi Medical University, Zunyi 563000, China.
Si-Si HeDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Benjamin FreyDepartment of Radiation Oncology, Universitätsklinikum Erlangen, 91054 Erlangen, Germany.ORCID 0000-0001-6743-3351
Ning GuNanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing 210029, China.ORCID 0000-0003-0704-6768
Rainer FietkauDepartment of Radiation Oncology, Universitätsklinikum Erlangen, 91054 Erlangen, Germany.ORCID 0000-0003-4387-3285
Markus HechtDepartment of Radiation Oncology, Universitätsklinikum Erlangen, 91054 Erlangen, Germany.ORCID 0000-0003-2082-216X
Hu MaDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China.
Udo S GaiplDepartment of Radiation Oncology, Universitätsklinikum Erlangen, 91054 Erlangen, Germany.ORCID 0000-0001-6375-5476
Zunyi Medical University · CNUniversitätsklinikum Erlangen · DENanjing University of Chinese Medicine · CN

Funding

European Commission MSCA-ITN-ETN; HYPERBOOST; 955625National Natural Science Foundation of China 81660512Research Programs of Health Commission Foundation of Guizhou Province gzwjkj2019-1-073, gzwjkj2019-1-172Research Programs of Science and Technology Commission Foundation of Zunyi City HZ2019-11, HZ2019-07
6 · The paper itself

Abstract

The blockade of programmed cell death protein 1 (PD-1) as monotherapy has been widely used in melanoma, but to identify melanoma patients with survival benefit from anti-PD-1 monotherapy is still a big challenge. There is an urgent need for prognostic signatures improving the prediction of immunotherapy responses of these patients. We analyzed transcriptomic data of pre-treatment tumor biopsies and clinical profiles in advanced melanoma patients receiving only anti-PD-1 monotherapy (nivolumab or pembrolizumab) from the PRJNA356761 and PRJEB23709 data sets as the training and validation cohort, respectively. Weighted gene co-expression network analysis was used to identify the key module, then least absolute shrinkage and selection operator was conducted to determine prognostic-related long noncoding RNAs (lncRNAs). Subsequently, the differentially expressed genes between different clusters were identified, and their function and pathway annotation were performed. In this investigation, 92 melanoma patients with complete survival information (51 from training cohort and 41 from validation cohort) were included in our analyses. We initiallyidentified the key module (skyblue) by weighted gene co-expression network analysis, and then identified a 15 predictive lncRNAs (AC010904.2, LINC01126, AC012360.1, AC024933.1, AL442128.2, AC022211.4, AC022211.2, AC127496.5, NARF-AS1, AP000919.3, AP005329.2, AC023983.1, AC023983.2, AC139100.1, and AC012615.4) signature in melanoma patients treated with anti-PD-1 monotherapy by least absolute shrinkage and selection operator in the training cohort. These results were then validated in the validation cohort. Finally, enrichment analysis showed that the functions of differentially expressed genes between two consensus clusters were mainly related to the immune process and treatment. In summary, the 15 lncRNAs signature is a novel effective predictor for prognosis in advanced melanoma patients treated with anti-PD-1 monotherapy.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBiomarkers, TumorFemaleFollow-Up StudiesHumansMaleMelanomaMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorRetrospective StudiesRNA, Long NoncodingSurvival RateAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBiomarkers, TumorPDCD1 protein, humanpembrolizumabProgrammed Cell Death 1 ReceptorRNA, Long Noncodingadvanced melanomaimmune checkpoint inhibitorLASSOlncRNAPD-1predictorsurvival benefitWGCNA

Identifiers

PMID33922038
PMCPMC8143567
OpenAlexW3156739817

What OpenQuestion holds

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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.