Evidence map›Paper›PMID 34564955›Full record

ArticleCancer medicine2021

High mutations in fatty acid metabolism contribute to a better prognosis of small-cell lung cancer patients treated with chemotherapy.

Qiong Lyu, Weiliang Zhu, Ting Wei, Weimin Ding, Manming Cao, Qiongyao Wang, Linlang Guo, Peng Luo, Jian Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 4 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

9 authors at 1 institution in 1 country.

Qiong LyuDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Weiliang ZhuDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Ting WeiDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Weimin DingDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Manming CaoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qiongyao WangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Linlang GuoDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Peng LuoDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-8215-2045
Jian ZhangDepartment of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7217-0111
Zhujiang Hospital · CN

Funding

Clinical Research Initiative Project of Southern Medical University LC2016ZD029Clinical Research Initiative Project of Southern Medical University LC2019ZD016Guangdong Province 2017KZDXM015Medical Science and Technology Research Grant of Guangdong ProvinceNational Natural Science Foundation of China 81572244National Natural Science Foundation of China 81602631National Natural Science Foundation of China 81672267National Natural Science Foundation of China 81772458National Natural Science Foundation of China 81871859National Natural Science Foundation of China 81972809Natural Science Foundation of Guangdong Province 2015A030311028Natural Science Foundation of Guangdong Province 2018A030310471Natural Science Foundation of Guangdong Province 2018A030313846
6 · The paper itself

Abstract

backgroundThe majority of patients with small-cell lung cancer (SCLC) show a good response in the early stages of treatment, but more than 90% of patients will develop drug resistance. Therefore, biomarkers are urgently needed to identify patients who can benefit from systemic treatment.

methodsWe prospectively enrolled 52 extensive-stage SCLC patients before treatment from a local hospital to identify mutations related to patient prognosis, and verified them in the published Jiang's cohort and George's cohort.

resultsWe found that patients with high mutations (mut-high) in the fatty acid (FA) metabolism pathway had a longer progression-free survival (PFS) in the local hospital cohort (HR = 0.446, 95% CI, 0.207-0.959, p = 0.0387) and a longer overall survival (OS) in Jiang's cohort (HR = 0.549, 95% CI, 0.314-0.960, p = 0.0351) than patients with low mutations (mut-low). Multivariate analysis suggested that mut-high status was an independent prognostic factor in both cohorts. George's cohort verified that mut-high status was associated with a longer OS than mut-low status (HR = 0.730, 95% CI 0.440-1.220, p = 0.2277). The possible mechanisms were as follows: the frequency of mutated FA synthase (FASN) in the mut-high group was greater than that in the mut-low group, and pathways related to the cell cycle, DNA repair, and oxidative phosphorylation were enriched in the mut-high group.

conclusionsThe prognosis of SCLC patients treated with chemotherapy was better among patients with more mutations in the FA metabolism pathway, and the underlying mechanisms could be found at the genome and transcriptome levels.

Indexed as

Adenosine TriphosphatasesAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCell Line, TumorCisplatinEtoposideFatty AcidsFatty Acid SynthasesFemaleHumansLung NeoplasmsMaleMiddle AgedMutationPrognosisAdenosine TriphosphatasesBiomarkers, TumorCisplatinEtoposideFatty AcidsFatty Acid Synthasesbiomarkerfatty acid metabolic pathwayprognosissmall-cell lung cancer (SCLC)whole exome sequencing (WES)

Identifiers

PMID34564955
PMCPMC8559513
OpenAlexW3204584090

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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.