Evidence map›Paper›PMID 40147828›Full record

ArticleCancer research and treatment2026

The Role of Circulating Tumor Cell as a Promising Biomarker in the Evaluation of Pulmonary Nodules: A Prospective Study.

Shijie Wang, Changdan Xu, Xiaohong Xu, Weipeng Shao, Guohui Wang, Xiongtao Yang, Liwei Gao, Feng Teng, Hongliang Sun, Yue Zhao and 2 more

Abstract read
In one paragraph

Article in Cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Shijie WangDepartment of Radiation Oncology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Changdan XuDepartment of Medical Record, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaohong XuDepartment of Radiation Oncology, Zhongshan Hospital, Fudan University, Shanghai, China.
Weipeng ShaoDepartment of Thoracic Surgical Ward Ⅱ, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Guohui WangDepartment of Radiation Oncology, Tianjin First Central Hospital, Tianjin, China.
Xiongtao YangDepartment of Oncology, Beijing Changping Hospital, Beijing, China.
Liwei GaoDepartment of Radiation Oncology, China-Japan Friendship Hospital, Beijing, China.
Feng TengDepartment of Radiation Oncology, China-Japan Friendship Hospital, Beijing, China.
Hongliang SunDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Yue ZhaoDepartment of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.
Hongxiang FengDepartment of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China.
Guangying ZhuDepartment of Radiation Oncology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

China-Japan Friendship Hospital Talent Introduction Research Startup Foundation 2016-RC-4
6 · The paper itself

Abstract

purposeOur previous study showed that circulating tumor cell (CTC) count combined with gene mutation detection might help differentiate benign and malignant pulmonary nodules (PNs). Herein, we aimed to expand the study cohort and conduct further sequencing analysis. MATERIALS AND

methodsPatients with PNs were included, and CTCs were identified before operation. Low-coverage whole-genome sequencing (LC-WGS) and lung cancer-related targeted gene sequencing were performed on CTCs. The diagnostic efficacy was evaluated by receiver operating characteristic (ROC) curve. The differences in CTC counts among subgroups classified by demographic-clinical characteristics were analyzed. LC-WGS-based copy number variation (CNV) analysis and targeted gene mutation analysis were conducted.

resultsA total of 172 patients were included. CTC count of 2.5 was identified by the ROC curves as the optimal diagnostic cutoff. The sensitivity and specificity of CTC count for differentiating benign and malignant PNs were 54.2% and 78.6%, respectively. The diagnostic sensitivity and specificity of combined CTC count, radiological nodule type, and any malignant imaging features were 84.7% and 71.4%, respectively. The CTC counts were significantly greater in patients with aggressive tumors, later stage, and spread through air spaces. CTCs from malignant cases had more CNVs than those from benign cases.

conclusionCTC count can be used in identifying malignant PNs. The diagnostic efficacy can be improved if combined with computed tomography imaging characteristics. Further CNV analysis might help differential diagnosis. Greater CTC count might suggest more aggressive tumors. CTC detection can provide important information and guidance for subsequent management of PNs.

Indexed as

Biomarkers, TumorLung NeoplasmsMultiple Pulmonary NodulesNeoplastic Cells, CirculatingSolitary Pulmonary NoduleAdultAgedDNA Copy Number VariationsFemaleHumansMaleMiddle AgedMutationProspective StudiesROC CurveWhole Genome SequencingBiomarkers, TumorCirculating tumor cellCopy number variationEarly diagnosis of lung cancerGene sequencingPulmonary nodule

Identifiers

PMID40147828
PMCPMC12800940

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.