Evidence map›Paper›PMID 37093867›Full record

ArticleTechnology in cancer research & treatment

The Value of Circulating Tumor Cells and Tumor Markers Detection in Lung Cancer Diagnosis.

Sumin Guo, Jingyu Chen, Po Hu, Chen Li, Xiang Wang, Ning Chen, Jiale Sun, Yongfeng Wang, Jianling Wang, Weikuan Gu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

11 authors at 5 institutions in 2 countries.

Sumin GuoDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Jingyu ChenDepartment of Chinese Medicine Internal Medicine, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Po HuDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Prevention and Research Center of Hebei Province, Shijiazhuang, Hebei, People's Republic of China.
Chen LiDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Prevention and Research Center of Hebei Province, Shijiazhuang, Hebei, People's Republic of China.
Xiang WangDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Prevention and Research Center of Hebei Province, Shijiazhuang, Hebei, People's Republic of China.
Ning ChenDepartment of Pathology, Hebei Chest Hospital, Lung Cancer Prevention and Research Center of Hebei Province, Shijiazhuang, Hebei, People's Republic of China.
Jiale SunCollege of Lab Medicine, Hebei North University, Zhangjiakou, Hebei, People's Republic of China.
Yongfeng WangDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Prevention and Research Center of Hebei Province, Shijiazhuang, Hebei, People's Republic of China.
Jianling WangDepartment of Oncology, Hebei Chest Hospital, Lung Cancer Prevention and Research Center of Hebei Province, Shijiazhuang, Hebei, People's Republic of China.
Weikuan GuDepartment of Orthopedic Surgery and BME-Campbell Clinic, University of Tennessee Health Science Center, Memphis, TN, USA.ORCID 0000-0003-1112-8088
Shucai WuDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Hospital of Hebei Province · CNHebei Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHebei North University · CNUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCirculating tumor cells are complete tumor cells with multi-scale analysis values that present a high potential for lung cancer diagnosis. To enhance the accuracy of lung cancer diagnosis, we detected circulating tumor cells by the innovated conical micro filter integrated microfluidic system.

methodsWe recruited 45 subjects of study, including 22 lung cancer patients, 2 precancerous patients, the control group including 14 healthy participants, and 7 patients with lung benign lesions in this prospective study. We calculated the area under the receiver operating characteristic curve of circulating tumor cells, cytokeratin19 fragment, carcinoma embryonic antigen, squamous cell carcinoma, neuron-specific enolase, and their combination, respectively, while compared the circulating tumor cells levels between vein blood and arterial blood. A conical shape filter embedded in a microfluidic chip was used to improve the detection capability of circulating tumor cells.

resultsThe study indicated that the sensitivity, specificity, positive predictive value, and negative predictive value of circulating tumor cells detection were 81.8%, 90.5%, 90.0%, and 82.6%, respectively. The circulating tumor cells level of lung cancer patient was significantly higher than that of the control group (

conclusionThe circulating tumor cells detection technology by conical micro filter integrated microfluidic could be used for lung cancer diagnosis with high sensitivity and specificity. Complementary combination of circulating tumor cells and conventional 4 lung cancer markers could enhance the clinical application accuracy. Venous blood should be used as a routine sample for circulating tumor cells detections.

Indexed as

Carcinoma, Squamous CellLung NeoplasmsNeoplastic Cells, CirculatingBiomarkers, TumorCarcinoembryonic AntigenHumansLungPhosphopyruvate HydrataseProspective StudiesBiomarkers, TumorCarcinoembryonic AntigenPhosphopyruvate Hydratasecirculating tumor cellsdiagnosislung cancermicrofluidic chip detection

Identifiers

PMID37093867
PMCPMC10134176
OpenAlexW4366957137

What OpenQuestion holds

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LicenceCC BY-NC
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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.