Evidence map›Paper›PMID 32184628›Full record

ArticleOncoTargets and therapy2020

Circulating Tumor Cells as a Screening and Diagnostic Marker for Early-Stage Non-Small Cell Lung Cancer.

Guo-Chen Duan, Xiao-Peng Zhang, Hui-En Wang, Zhi-Kang Wang, Hua Zhang, Lei Yu, Wen-Fei Xue, Zhi-Fei Xin, Zhong-Hui Hu, Qing-Tao Zhao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06262386 (Utilizing Perioperative Variation Trends of Circulating Tumor Cells and Tumor Pathological Characteristics as a Combined Relapse Prediction Model for Resectable Non-Small Cell Patients - a Prospective Clinical Feasibility Trial), which is not on this map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 10% 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.

NCT06262386 narecruitingnot on this mapstarted 2023, after this paper: background citation

Utilizing Perioperative Variation Trends of Circulating Tumor Cells and Tumor Pathological Characteristics as a Combined Relapse Prediction Model for Resectable Non-Small Cell Patients - a Prospective Clinical Feasibility Trial

TypeinterventionalSponsorChang Gung Memorial HospitalRan2023 to 2028Enrolled358ConditionsLung Cancer, Relapse/RecurrenceArmsCisplatin based chemottherapy
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 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

10 authors at 1 institution in 1 country.

Guo-Chen DuanDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.ORCID 0000-0002-3877-4453
Xiao-Peng ZhangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Hui-En WangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Zhi-Kang WangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Hua ZhangDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Lei YuDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Wen-Fei XueDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Zhi-Fei XinDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Zhong-Hui HuDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Qing-Tao ZhaoDepartment of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.ORCID 0000-0001-6400-2329
Hebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumor cells (CTCs) have become potential diagnostic biomarker for several types of cancer, including lung cancer. In this study, we aim to determine whether CTCs detected by CellCollector can be used for early-stage diagnosis of lung cancer.

methodsIn this study, we recruited 64 volunteers, among whom 44 were suspected lung cancer patients requiring surgical treatment and 20 were healthy volunteers. We simultaneously analyzed PD-L1 expression in CTCs isolated using the GILUPI CellCollector and copy number variation by next-generation sequencing (NGS).

resultsWe enrolled a total of 44 patients with suspected lung cancer who required surgery and 20 healthy volunteers. The patients were classified into 4 groups based on their pathological results: benign disease, in situ cancer, microinvasive, and invasive. The CTCs detection rate for each group was 10.00% (1/10), 45% (5/11), 50% (7/14), and 67% (6/9), respectively. Among the patients with lung cancer, the CTCs detection rate increased with disease progression. The rate of CTCs positivity was 52.94% (18/34) in patients who were diagnosed with lung cancer by pathology and 10% (1/10) in patients with benign disease. CTCs were not detected in the control group. The area under the receiver operating characteristic (ROC) curve, a measure for distinguishing patients with primary lung cancer, was 0.715 (95% CI 0.549-0.880, P=0.041). The sensitivity and specificity of the in vivo CTCs detection strategy for the diagnosis of early-stage lung cancer were 52.94% and 90%, respectively. CTCs were associated with clinical pathology but not with the size and location of the nodules.

conclusionCTCs isolation using the CellCollector in vivo detection method might be effective for distinguishing between benign and malignant nodules and may be used for early-stage diagnosis of lung cancer.

Indexed as

CellCollectorcirculating tumor cellsearly-stage diagnosisin vivolung cancer

Identifiers

PMID32184628
PMCPMC7061431
OpenAlexW3009308132

What OpenQuestion holds

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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.