Evidence map›Paper›PMID 39540154›Full record

ArticleFrontiers in oncology2024

The capture of circulating tumor cells by Labyrinth system as a tool for early stage lung cancer detection.

Peipei Jin, Hong Li, Mingran Xie, Jie Tang, Siming Zou, Ruiting Wang, Bin Yu, Tao Chen, Ju Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Peipei Jin *Department of Clinical Laboratory, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Hong Li *Department of Research and Discovery, Suzhou Labyrinth Biotech Co., Ltd, Suzhou, China.
Mingran Xie *Department of Thoracic Surgery, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Jie TangDepartment of Research and Discovery, Suzhou Labyrinth Biotech Co., Ltd, Suzhou, China.
Siming ZouDepartment of Research and Discovery, Suzhou Labyrinth Biotech Co., Ltd, Suzhou, China.
Ruiting WangDepartment of Research and Discovery, Suzhou Labyrinth Biotech Co., Ltd, Suzhou, China.
Bin YuAnalytical General Department, Coherus BioSciences, Camarillo, CA, United States.
Tao ChenDepartment of Research and Discovery, Suzhou Labyrinth Biotech Co., Ltd, Suzhou, China.
Ju ZhangDepartment of Clinical Laboratory, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We focus on utilizing the Labyrinth system for the detection of circulating tumor cells (CTCs) in patients with lung nodules. Our aim is to evaluate CTCs isolated through the Labyrinth system as a biomarker for early-stage lung cancer (LC) detection. Methods: 167 patients with low dose computed tomography (LDCT) diagnostic results for lung nodules and 31 healthy volunteers (HV) were enrolled. Blood samples were processed for CTC detection. LDCT positive (LDCT+) patients underwent surgery and were categorized into those with LC and those with benign lung diseases (BLD) based on their biopsy results. BLD Patients, LDCT negative (LDCT-) patients and HV served as controls. The correlation of CTC counts with LC, BLD, LDCT- and HV was investigated. Receiver operating characteristic (ROC) curves were used to assess the Labyrinth system's diagnostic potential for early-stage LC. Results: Median CTC counts for LC, BLD, LDCT- and HV were 2.7 CTC/mL, 0.6 CTC/mL, 0.4 CTC/mL, 0 CTC/mL, respectively. Statistical analysis indicated CTC counts could distinguish LC from BLD, LDCT- and HV (p-Values < 0.001). Using a cut-off of 1 CTC/mL, the study showed 84.4% sensitivity and 82.4% specificity for LDCT+ patients. Specificity increased to 85.9% for patients with lung nodules and 88.2% for all participants. In conclusion, CTCs detected by the Labyrinth system can serve as a biomarker for early-stage LC detection for patients with lung nodules. Conclusions: CTCs identified by the Labyrinth system are a promising biomarker for early-stage LC detection in clinical practice.

Indexed as

circulating tumor cellsLabyrinth systemlung cancerlung nodulesmicrofluidic chip

Identifiers

PMID39540154
PMCPMC11557529

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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.