Evidence map›Paper›PMID 31959735›Full record

ArticleAging2020

Man Li, Anqi Lin, Peng Luo, Weitao Shen, Dan Xiao, Lanying Gou, Jian Zhang, Linlang Guo

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03162705 (Prospective Molecular Profiling in Small Cell Lung Cancer), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 2% 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.

NCT03162705 unknown statusnot on this map

Prospective Molecular Profiling in Small Cell Lung Cancer

TypeobservationalSponsorZhujiang HospitalRan2017 to 2021Enrolled120ConditionsLung Neoplasms, Small Cell Lung Cancer
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  3. CD4Trends in cancer · 2024
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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

8 authors at 2 institutions in 1 country.

Man LiDepartment of Pathology Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Anqi LinDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Weitao ShenDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Dan XiaoDepartment of Pathology Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Lanying GouDepartment of Pathology Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Linlang GuoDepartment of Pathology Zhujiang Hospital, Southern Medical University, Guangzhou 510282, People's Republic of China.
Southern Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapies based on platinum have been the standard first-line treatment for patients with small-cell lung cancer(SCLC) in the past years. However, the progression of patients occurs mostly due to rapid development of resistance to chemotherapy. In addition, the mechanisms involved in development of cisplatin-resistance in SCLC remain undetermined. Here, we analyzed whole-exome sequencing(WES) datasets from Genomics of Drug Sensitivity in Cancer(GDSC, N=55) and WES data and overall survival(OS) from a published cohort(N=101) to search for cisplatin-resistant target genes and genes associated with poor prognosis. We use our cohort(NCT03162705) as the validation set. We applied single sample gene set enrichment analysis(ssGSEA) to explore the potential molecular mechanisms of cisplatin-resistance. DNAH10 mutations in SCLC was significantly associated with cisplatin-resistance(P=0.0350), poor OS(HR:3.445;P=0.00035) and worse progression-free survival (PFS)(P=0.0142). ssGSEA showed that the negative regulation of FGFR, the SPRY regulation of FGF, and the positive regulation of noncanonical WNT and PI3K/AKT/IKK signaling pathways are differentially up- or downregulated in DNAH10-mutated cell lines. A higher TMB was observed in DNAH10-mutated cell lines. Taken together, DNAH10 mutations may have a potential value in prediction of cisplatin resistance and poor survival in SCLC. Moreover, DNAH10 mutations may have a positive correlation with high TMB in SCLC.

Indexed as

Biomarkers, TumorMutationAgedCell Line, TumorCisplatinComputational BiologyDrug Resistance, NeoplasmDyneinsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedPrognosisBiomarkers, TumorCisplatinDNAH10 protein, humanDyneinscisplatinDNAH10resistancesmall cell lung cancertumor mutation burden

Identifiers

PMID31959735
PMCPMC7053592
OpenAlexW3002419063

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.