Evidence map›Paper›PMID 35666052›Full record

ArticleCancer communications (London, England)2022

Candidate therapeutic agents in a newly established triple wild-type mucosal melanoma cell line.

Chaoji Shi, Ziyue Gu, Shengming Xu, Houyu Ju, Yunteng Wu, Yong Han, Jiayi Li, Chuwen Li, Jing Wu, Lizhen Wang and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer communications (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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

16 authors at 2 institutions in 3 countries.

Chaoji ShiDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Ziyue GuDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Shengming XuDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Houyu JuDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Yunteng WuDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Yong HanDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Jiayi LiDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Chuwen LiDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Jing WuDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Lizhen WangNational Clinical Research Center for Oral Diseases, Shanghai, 200011, P. R. China.
Jiang LiNational Clinical Research Center for Oral Diseases, Shanghai, 200011, P. R. China.
Guoyu ZhouDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Weimin YeDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Guoxin RenDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Zhiyuan ZhangDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Rong ZhouDepartment of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, P. R. China.
Shanghai Jiao Tong University · CNAcademy of Medical Sciences · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMucosal melanoma has characteristically distinct genetic features and typically poor prognosis. The lack of representative mucosal melanoma models, especially cell lines, has hindered translational research on this melanoma subtype. In this study, we aimed to establish and provide the biological properties, genomic features and the pharmacological profiles of a mucosal melanoma cell line that would contribute to the understanding and treatment optimization of molecularly-defined mucosal melanoma subtype.

methodsThe sample was collected from a 67-year-old mucosal melanoma patient and processed into pieces for the establishment of cell line and patient-derived xenograft (PDX) model. The proliferation and tumorigenic property of cancer cells from different passages were evaluated, and whole-genome sequencing (WGS) was performed on the original tumor, PDX, established cell line, and the matched blood to confirm the establishment and define the genomic features of this cell line. AmpliconArchitect was conducted to depict the architecture of amplified regions detected by WGS. High-throughput drug screening (HTDS) assay including a total of 103 therapeutic agents was implemented on the established cell line, and selected candidate agents were validated in the corresponding PDX model.

resultsA mucosal melanoma cell line, MM9H-1, was established which exhibited robust proliferation and tumorigenicity after more than 100 serial passages. Genomic analysis of MM9H-1, corresponding PDX, and the original tumor showed genetic fidelity across genomes, and MM9H-1 was defined as a triple wild-type (TWT) melanoma subtype lacking well-characterized "driver mutations". Instead, the amplification of several oncogenes, telomerase reverse transcriptase (TERT), v-Raf murine sarcoma viral oncogene homolog B1 (BRAF), melanocyte Inducing transcription factor (MITF) and INO80 complex ATPase subunit (INO80), via large-scale genomic rearrangement potentially contributed to oncogenesis of MM9H-1. Moreover, HTDS identified proteasome inhibitors, especially bortezomib, as promising therapeutic candidates for MM9H-1, which was verified in the corresponding PDX model in vivo.

conclusionsWe established and characterized a new mucosal melanoma cell line, MM9H-1, and defined this cell line as a TWT melanoma subtype lacking well-characterized "driver mutations". The MM9H-1 cell line could be adopted as a unique model for the preclinical investigation of mucosal melanoma.

Indexed as

MelanomaAgedAnimalsCell LineGenomicsHumansMiceXenograft Model Antitumor Assaysbortezomibcell lineextrachromosomal DNAhigh-throughput drug screeningmucosal melanomapatient derived tumor cellspatient-derived xenograftwhole-genome sequencing

Identifiers

PMID35666052
PMCPMC9257989
OpenAlexW4281636957

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.