Evidence map›Paper›PMID 36657446›Full record

ArticleCell reports. Medicine2023

Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: A real-world study.

Han-Min Wang, Chan-Yuan Zhang, Kai-Cheng Peng, Ze-Xin Chen, Jun-Wei Su, Yu-Fa Li, Wen-Feng Li, Qing-Yun Gao, Shi-Ling Zhang, Yu-Qing Chen and 10 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 154 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 4 pooled it
42.9field-weighted citation impact, top 1% 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.

NCT06406608 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Patient-derived Organoid Drug Sensitivity Guided Treatment for Drug-resistant Recurrent Non-Small Cell Lung Cancer

TypeinterventionalSponsorHenan Cancer HospitalRan2024 to 2026Enrolled20ConditionsNon-small Cell Lung CancerArmsChemotherapy and targeted-therapy guided by organoid drug sensitivity test
NCT06406660 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Patient-derived Organoid Drug Sensitivity Guided Treatment for Recurrent Small Cell Lung Cancer

TypeinterventionalSponsorHenan Cancer HospitalRan2024 to 2026Enrolled20ConditionsSmall Cell Lung CancerArmsChemotherapy and targeted-therapy guided by organoid drug sensitivity test
3 · Its place in the literature

Who cites it

154 citing papers in PubMed, 4 syntheses or guidelines pooled it, 167 citations in OpenAlex.

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  11. Patient-Derived Organoid and Single-Cell Multiomics Reveal Evolution Driven by CEACAM6/KRT19-Mediated Heterogeneity.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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94 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Han-Min WangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Chan-Yuan ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China.
Kai-Cheng PengGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; School of Medicine, South China University of Technology, Guangzhou 510006, China.
Ze-Xin ChenGuangdong Research Center of Organoid Engineering and Technology, Guangzhou 510530, China.
Jun-Wei SuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Yu-Fa LiGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Wen-Feng LiGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Qing-Yun GaoGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Shi-Ling ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China.
Yu-Qing ChenGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; School of Medicine, South China University of Technology, Guangzhou 510006, China.
Qing ZhouGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Cong XuGuangdong Research Center of Organoid Engineering and Technology, Guangzhou 510530, China.
Chong-Rui XuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Zhen WangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Jian SuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Hong-Hong YanGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Xu-Chao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Hua-Jun ChenGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China. Electronic address: chenhuajun@gdph.org.cn.
Yi-Long WuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China. Electronic address: syylwu@live.cn.
Jin-Ji YangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China; School of Medicine, South China University of Technology, Guangzhou 510006, China. Electronic address: yangjinji@gdph.org.cn.
Guangdong Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the clinical response to chemotherapeutic or targeted treatment in patients with locally advanced or metastatic lung cancer requires an accurate and affordable tool. Tumor organoids are a potential approach in precision medicine for predicting the clinical response to treatment. However, their clinical application in lung cancer has rarely been reported because of the difficulty in generating pure tumor organoids. In this study, we have generated 214 cancer organoids from 107 patients, of which 212 are lung cancer organoids (LCOs), primarily derived from malignant serous effusions. LCO-based drug sensitivity tests (LCO-DSTs) for chemotherapy and targeted therapy have been performed in a real-world study to predict the clinical response to the respective treatment. LCO-DSTs accurately predict the clinical response to treatment in this cohort of patients with advanced lung cancer. In conclusion, LCO-DST is a promising precision medicine tool in treating of advanced lung cancer.

Indexed as

Lung NeoplasmsHumansOrganoidsPrecision Medicinechemotherapydrug sensitivity testlung cancerpatient-derived organoidpersonalized medicinereal-world studytargeted therapy

Identifiers

PMID36657446
PMCPMC9975107
OpenAlexW4317240973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.