Evidence map›Paper›PMID 36544693›Full record

ArticleAnnals of translational medicine2022

Oncogenic alterations reveal key strategies for precision oncology in melanoma treatment.

Wei Sun, Fang Zhao, Tu Hu, Zhiqiang Wu, Yu Xu, Yan Dong, Biqiang Zheng, Chunmeng Wang, Wangjun Yan, Xiaoli Zhu and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

16 authors at 5 institutions in 3 countries.

Wei Sun *Department of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fang Zhao *Department of Dermatology, University Hospital Essen, Essen, Germany.
Tu Hu *Department of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhiqiang Wu *Department of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yu XuDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yan DongDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Biqiang ZhengDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chunmeng WangDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wangjun YanDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaoli ZhuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Jian WuMyGenostics Inc., Beijing, China.
Michael J McKayDepartment of Radiation Oncology, Northern Cancer Service, Burnie, Australia.
Imanol ArozarenaNavarrabiomed-Fundación Miguel Servet-Idisna, Complejo Hospitalario de Navarra, Pamplona, Spain.
Llucia AlosDepartment of Pathology, Hospital Clinic of Barcelona, Barcelona, Spain.
Cristina TeixidoDepartment of Pathology, Hospital Clinic of Barcelona, Barcelona, Spain.
Yong ChenDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CNHospital Clínic de Barcelona · ESComplejo Hospitalario de Navarra · ESEssen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Molecular profiling with next-generation sequencing (NGS) has been applied in multiple solid tumors, including melanomas, to identify potential drug targets. However, the association between clinical outcomes and the molecular alterations has not yet been fully clarified. Methods: A total of 108 patients with melanoma were included in this study, 95 of whom had both sequencing data and clinical outcomes were collected. We analyzed the genetic alterations of 108 malignant melanoma patients using the OncoCare panel, which covers 559 genes. Results: A model was also established to predict side effects through a combination analysis of clinical data and somatic variants, yielding an area under the receiver operating characteristic curve (AUROC) score of 0.8. We also identified epidermal growth factor receptor (EGFR) mutation was excellent predictor for progression-free survival (PFS) for patient who received immunotherapy (log-rank P=0.01), while tumor mutation burden (TMB) was found to not be significantly associated with PFS (log-rank P=0.87). Combining clinical features with genetic analysis, we found that patients carrying both DNA POLD1/ALOX12B or POLD1/PTPRT mutations had a significantly lower survival rate. Conclusions: Overall, these results demonstrate the benefits of applying NGS clinical panels and shed light on future directions of personalized therapeutics for the treatment of melanoma.

Indexed as

genetic alterationsmachine learningMelanomanext-generation sequencing panels (NGS panels)prognostic predictors

Identifiers

PMID36544693
PMCPMC9761125
OpenAlexW4310812686

What OpenQuestion holds

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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.