Evidence map›Paper›PMID 37273084›Full record

ArticleDiscover oncology2023

SDH mutations, as potential predictor of chemotherapy prognosis in small cell lung cancer patients.

Ran Zeng, Xiaoyun Fan, Jin Yang, Chen Fang, Jieyi Li, Wei Wen, Jing Liu, Mengchen Lv, Xiangran Feng, XiaoKai Zhao and 13 more

Open access · goldAbstract read
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Emerging roles of the metabolite succinate in bone-related diseases.Journal of Zhejiang University. Science. B · 2025
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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

23 authors at 6 institutions in 1 country.

Ran Zeng *Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Xiaoyun Fan *Department of Geriatric Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Jin Yang *Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Chen FangDepartment of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, The First Affiliated Hospital of Second Military Medical University, No.168, Changhai Road, Yangpu District, Shanghai, 200433, People's Republic of China.
Jieyi LiJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China.
Wei WenJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China.
Jing LiuDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Mengchen LvDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Xiangran FengDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
XiaoKai ZhaoJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China.
Hongjie YuJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China.
Yuhuan ZhangJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China.
Xianwen SunDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Zhiyao BaoDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Jun ZhouDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Lei NiDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Xiaofei WangDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Qijian ChengDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Beili GaoDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China.
Ziying GongJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China. gzy@yunyingmedicine.com.
Daoyun ZhangJiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd, Building 5, No.3556 Linggongtang Road, Nanhu District, Jiaxing, 314000, People's Republic of China. zdy@yunyingmedicine.com.
Yuchao DongDepartment of Respiratory and Critical Care Medicine, Shanghai Changhai Hospital, The First Affiliated Hospital of Second Military Medical University, No.168, Changhai Road, Yangpu District, Shanghai, 200433, People's Republic of China. dongyc1020@aliyun.com.
Yi XiangDepartment of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Rui Jin 2nd Road, Shanghai, 200025, People's Republic of China. xiangyiht@163.com.
Ruijin Hospital · CNJiaxing University · CNShanghai Jiao Tong University · CNAnhui Medical University · CNChanghai Hospital · CNSecond Military Medical University · CN

Funding

Key Research and Development Program of Zhejiang province 2023C03057National Key Research and Development Program of China 2018YFC1311902National Natural Science Foundation of China 81672271Shanghai Key Discipline for Respiratory Diseases 2017ZZ02014Zhejiang Leading Talent Entrepreneurship Project 2021R02019
6 · The paper itself

Abstract

purposeSmall cell lung cancer (SCLC) is an aggressive and rapidly progressive malignant tumor characterized by a poor prognosis. Chemotherapy remains the primary treatment in clinical practice; however, reliable biomarkers for predicting chemotherapy outcomes are scarce.

methodsIn this study, 78 SCLC patients were stratified into "good" or "poor" prognosis cohorts based on their overall survival (OS) following surgery and chemotherapeutic treatment. Next-generation sequencing was employed to analyze the mutation status of 315 tumorigenesis-associated genes in tumor tissues obtained from the patients. The random forest (RF) method, validated by the support vector machine (SVM), was utilized to identify single nucleotide mutations (SNVs) with predictive power. To verify the prognosis effect of SNVs, samples from the cbioportal database were utilized.

resultsThe SVM and RF methods confirmed that 20 genes positively contributed to prognosis prediction, displaying an area under the validation curve with a value of 0.89. In the corresponding OS analysis, all patients with SDH, STAT3 and PDCD1LG2 mutations were in the poor prognosis cohort (15/15, 100%). Analysis of public databases further confirms that SDH mutations are significantly associated with worse OS.

conclusionOur results provide a potential stratification of chemotherapy prognosis in SCLC patients, and have certain guiding significance for subsequent precise targeted therapy.

Indexed as

Chemotherapy prognosticNext generation sequencingRandom forestSCLCSDH mutations

Identifiers

PMID37273084
PMCPMC10241767
OpenAlexW4379376805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.