Evidence map›Paper›PMID 37186446›Full record

ArticleIET systems biology2023

Chromosome instability-associated prognostic signature and cluster investigation for cutaneous melanoma cases.

Ning Liu, Guangjing Liu, Qian Ma, Xiaobing Li

Open access · goldAbstract read
In one paragraph

Article in IET systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 5 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

4 authors at 1 institution in 1 country.

Ning LiuDepartment of Plastic and Burns Surgery, Tianjin First Center Hospital, School of Medicine, Nankai University, Tianjin, China.
Guangjing LiuDepartment of Plastic and Burns Surgery, Tianjin First Center Hospital, School of Medicine, Nankai University, Tianjin, China.
Qian MaDepartment of Plastic and Burns Surgery, Tianjin First Center Hospital, School of Medicine, Nankai University, Tianjin, China.
Xiaobing LiDepartment of Plastic and Burns Surgery, Tianjin First Center Hospital, School of Medicine, Nankai University, Tianjin, China.ORCID 0000-0003-3313-6353
Nankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomal instability (CIN) is closely associated to the early detection of several clinical tumours. In this study, the authors first established a novel prognostic model of melanoma using the hub genes of CIN, based on the datasets of The cancer genome atlas-skin cutaneous melanoma (TCGA-SKCM) and GSE65904 cohorts. Based on the risk scores of our model, the disease-specific survival (DSS) prognosis was worse in the high-risk group. Combining risk score, stage, age, ulceration, and clark factors, a Nomogram was generated to predict 1, 3, 5-year survival rates, which indicated a good clinical validity. Our finding also showed a correlation between high/low risk and tumour infiltration levels of 'activated CD8 T cells' and 'effector memory CD8 T cells'. Moreover, the authors first performed a CIN-based tumour clustering analysis using TCGA-SKCM cases, and identified two melanoma clusters, which exhibit the distinct DSS prognosis and the tumour-infiltrating levels of CD8 T cells. Taken together, a promising CIN-related prognostic signature and clustering for melanoma cases were first established in our study.

Indexed as

MelanomaSkin NeoplasmsChromosomal InstabilityCutaneous Malignant MelanomaHumansPrognosiscancergeneticspattern clustering

Identifiers

PMID37186446
PMCPMC10280610
OpenAlexW4367053524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.