Evidence map›Paper›PMID 39934438›Full record

ArticleInvestigational new drugs2025

DYNC2H1 mutation as a potential predictive biomarker for immune checkpoint inhibitor efficacy in NSCLC and melanoma.

Lu Yang, Yanlong Feng, Xuewen Liu, Qin Zhang, Yaqin Liu, Xing Zhang, Ping Li, Dongsheng Chen

Abstract read
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In one paragraph

Article in Investigational new drugs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Cancer drug resistance (Alhambra, Calif.) · 2025
    Article
  2. Review
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.

Lu Yang *Department of Science and Technology, Nanjing Forestry University, Nanjing, 210037, China.
Yanlong Feng *Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xuewen Liu *The State Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, 210002, China.
Qin ZhangThe State Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, 210002, China.
Yaqin LiuThe State Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, 210002, China.
Xing ZhangThe State Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, 210002, China.
Ping LiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. tzliping@163.com.
Dongsheng ChenThe State Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, 210002, China. dongsheng.chen@simceredx.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynein cytoplasmic 2 heavy chain 1 (DYNC2H1) is reported to play a potential role in cancer immunotherapy. However, the association between DYNC2H1 mutation and the clinical benefit of immunotherapy in non-small cell lung cancer (NSCLC) and melanoma remains to be elucidated. We collected data from three public immune checkpoint inhibitor (ICI)-treated NSCLC cohorts (n = 137 in total) and seven ICI-treated melanoma cohorts (n = 418 in total) to explore the potential of DYNC2H1 mutation as a predictive biomarker. The clinical outcomes, including the objective response rate (ORR) and progression-free survival (PFS), of patients with DYNC2H1 mutations are significantly better than those of patients with wild-type DYNC2H1. Multivariate Cox regression analysis confirmed that DYNC2H1 mutation was an independent predictive factor for ICI efficacy in NSCLC and melanoma. In addition, DYNC2H1 mutation exhibited no prognostic value for NSCLC or melanoma. Tumour mutational burden (TMB) and tumour neoantigen burden (TNB) were significantly higher in patients with DYNC2H1 mutation than in those with wild-type DYNC2H1 in both NSCLC and melanoma cohort. The analysis of immune-related genes and immune cell enrichment revealed an association between DYNC2H1 mutation and increased immune infiltration, revealing a potential mechanism underlying the predictive role of DYNC2H1 mutation in immunotherapy efficacy. In conclusion, DYNC2H1 mutation serves as a predictive biomarker of ICI efficacy in NSCLC and melanoma.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungCytoplasmic DyneinsImmune Checkpoint InhibitorsLung NeoplasmsMelanomaAdultAgedFemaleHumansMaleMiddle AgedMutationPrognosisBiomarkers, TumorCytoplasmic DyneinsImmune Checkpoint InhibitorsBiomarkerDYNC2H1 mutationICI treatment efficacyMelanomaNSCLC

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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.