Evidence map›Paper›PMID 40205326›Full record

ArticleBMC cancer2025

Personalized drug screening of patient-derived tumor-like cell clusters based on specimens obtained from percutaneous transthoracic needle biopsy in patients with lung malignancy: a real-world study.

Sheng Xu, Shen-Yi Yin, Zhi-Xin Bie, Yuan-Ming Li, Jing Qi, Yi-Dan Ma, Zheng Wang, Jianzhong Jeff Xi, Xiao-Guang Li

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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
–field-weighted citation impact
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.

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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.

Sheng Xu *Department of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Shen-Yi Yin *State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Zhi-Xin BieDepartment of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yuan-Ming LiDepartment of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Jing QiDepartment of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Yi-Dan MaDepartment of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Zheng WangDepartment of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Jianzhong Jeff XiState Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, No.5 Yiheyuan Road, Haidian District, Beijing, 100871, China. jzxi@pku.edu.cn.
Xiao-Guang LiDepartment of Minimally Invasive Tumor Therapies Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China. xglee88@126.com.

Funding

Capital's Funds for Health Improvement and Research CFH-2022-2-4053
6 · The paper itself

Abstract

backgroundPatient-derived xenografts and organoids were the most common patient-derived tumor models in vitro that were utilized in personalized drug screening, and the establishment rate and duration required to be improved. Patient-derived tumor-like cell clusters (PTCs) could be established within ten days for drug screening, with high establishment rate and accuracy in predicting clinical outcomes. This study aims to explore the accuracy of PTCs based on specimens obtained from percutaneous transthoracic needle biopsy (PTNB) in lung malignancy (LM) patients, and to investigate the predictors for the success of PTC culture. MATERIALS AND

methodsThis retrospective cohort study included LM patients who underwent image-guided PTNB, and the specimens were used for PTC culture, which was followed by personalized drug screening of chemotherapy and molecular targeted therapy, and the accuracy was validated by previous or further treatments. The predictors of the success of PTC culture were identified by univariable and multivariable analyses.

resultsA total of 68 LM patients were enrolled, consisting of 57, 7, and 4 patients with non-small cell lung cancer, small cell lung cancer, and lung metastases, respectively. Pneumothorax was the predominant adverse event for PTNB, with an incidence rate of 20.6% (14/68). PTC models based on PTNB specimens were established successfully for 56 patients in 3.8 ± 2.3 days, with an 82.4% success rate. Five patients had not received treatments before or after PTC culture. PTC drug screening reveals 88.2% (45/51) overall consistency in predicting clinical outcomes. Necrotic area over half of the tumor (hazard ratio, 0.121; 95% confidence interval, 0.025-0.598; P = 0.010) was identified as the negative predictor for the success of PTC culture.

conclusionsPTC culture based on PTNB specimens could be established in 82.4% of LM patients, with a high accuracy in predicting clinical outcomes. Excessive necrosis in the tumor may predict the failure of PTC culture. Image-guided PTNB targeting enhanced or fluorodeoxyglucose‌ avid regions on images might contribute to improving the success rate of PTC culture.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungLung NeoplasmsPrecision MedicineAdultAgedAged, 80 and overBiopsy, NeedleDrug Screening Assays, AntitumorFemaleHumansImage-Guided BiopsyMaleMiddle AgedRetrospective StudiesAntineoplastic AgentsBiopsyLung malignancyPersonalized drug screeningTumor-like cell clusters

Identifiers

PMID40205326
PMCPMC11983848

What OpenQuestion holds

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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.