Evidence map›Paper›PMID 36514063›Full record

SynthesisBMC medicine2022

Potential clinical utility of liquid biopsy in early-stage non-small cell lung cancer.

Haifeng Shen, Yichen Jin, Heng Zhao, Manqi Wu, Kai Zhang, Zihan Wei, Xin Wang, Ziyang Wang, Yun Li, Fan Yang and 2 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 4 pooled it
5.4field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 4 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  9. [Advances on Postoperative Recurrence Risk Prediction in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026
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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

12 authors at 1 institution in 1 country.

Haifeng Shen *Thoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.ORCID 0000-0002-0166-2028
Yichen Jin *Thoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Heng ZhaoThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Manqi WuThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Kai ZhangThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Zihan WeiThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Xin WangThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Ziyang WangThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Yun LiThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Fan Yang *Thoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Jun Wang *Thoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China.
Kezhong ChenThoracic Oncology Institute, Department of Thoracic Surgery, Peking University People's Hospital, Peking University, Xi Zhi Men South Ave No.11, Beijing, 100044, China. chenkezhong@pkuph.edu.cn.ORCID 0000-0002-9723-6153
Peking University · CN

Funding

Chinese Academy of Medical Sciences 2021RU002National Natural Science Foundation of China 81602001National Natural Science Foundation of China 82072566National Natural Science Foundation of China 92059203Peking University People's Hospital RS2019-01Peking University People's Hospital RZ2022-03
6 · The paper itself

Abstract

backgroundLiquid biopsy has been widely researched for early diagnosis, prognostication and disease monitoring in lung cancer, but there is a need to investigate its clinical utility for early-stage non-small cell lung cancer (NSCLC).

methodsWe performed a meta-analysis and systematic review to evaluate diagnostic and prognostic values of liquid biopsy for early-stage NSCLC, regarding the common biomarkers, circulating tumor cells, circulating tumor DNA (ctDNA), methylation signatures, and microRNAs. Cochrane Library, PubMed, EMBASE databases, ClinicalTrials.gov, and reference lists were searched for eligible studies since inception to 17 May 2022. Sensitivity, specificity and area under the curve (AUC) were assessed for diagnostic values. Hazard ratio (HR) with a 95% confidence interval (CI) was extracted from the recurrence-free survival (RFS) and overall survival (OS) plots for prognostic analysis. Also, potential predictive values and treatment response evaluation were further investigated.

resultsIn this meta-analysis, there were 34 studies eligible for diagnostic assessment and 21 for prognostic analysis. The estimated diagnostic values of biomarkers for early-stage NSCLC with AUCs ranged from 0.84 to 0.87. The factors TNM stage I, T1 stage, N0 stage, adenocarcinoma, young age, and nonsmoking contributed to a lower tumor burden, with a median cell-free DNA concentration of 8.64 ng/ml. For prognostic analysis, the presence of molecular residual disease (MRD) detection was a strong predictor of disease relapse (RFS, HR, 4.95; 95% CI, 3.06-8.02; p < 0.001) and inferior OS (HR, 3.93; 95% CI, 1.97-7.83; p < 0.001), with average lead time of 179 ± 74 days between molecular recurrence and radiographic progression. Predictive values analysis showed adjuvant therapy significantly benefited the RFS of MRD + patients (HR, 0.27; p < 0.001), while an opposite tendency was detected for MRD - patients (HR, 1.51; p = 0.19). For treatment response evaluation, a strong correlation between pathological response and ctDNA clearance was detected, and both were associated with longer survival after neoadjuvant therapy.

conclusionsIn conclusion, our study indicated liquid biopsy could reliably facilitate more precision and effective management of early-stage NSCLC. Improvement of liquid biopsy techniques and detection approaches and platforms is still needed, and higher-quality trials are required to provide more rigorous evidence prior to their routine clinical application.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorHumansLiquid BiopsyNeoplasm Recurrence, LocalBiomarkers, TumorDiagnostic accuracyEarly-stage NSCLCLiquid biopsyMolecular residual diseasePredictive valuesPrognostic valuesTreatment evaluation

Identifiers

PMID36514063
PMCPMC9749360
OpenAlexW4311301419

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.