Evidence map›Paper›PMID 29068150›Full record

ArticleThoracic cancer2018

Detection of circulating tumor cells using oHSV1-hTERT-GFP in lung cancer.

Hongjun Gao, Wenjing Liu, Shaoxing Yang, Wen Zhang, Xiaoyan Li, Haifeng Qin, Weixia Wang, Changyun Zhao

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Observational
  6. [Progress of Liquid Biopsy in Early Diagnosis of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2018
    Review
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

8 authors at 2 institutions in 1 country.

Hongjun GaoDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.
Wenjing LiuDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.ORCID 0000-0002-6853-4848
Shaoxing YangDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.
Wen ZhangDepartment of Immunology, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoyan LiDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.
Haifeng QinDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.
Weixia WangDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.
Changyun ZhaoDepartment of Pulmonary Oncology, Affiliated Hospital of the Academy of Military Medical Sciences, Beijing, China.
Academy of Military Medical Sciences · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to evaluate the clinical utility of the oHSV1-hTERT-GFP circulating tumor cell (CTC) detection method in the peripheral blood of patients with lung cancer by comparing its sensitivity to the CellSearch CTC detection method.

methodsThe oHSV1-hTERT-GFP and CellSearch CTC detection methods were compared using peripheral blood samples of patients pathologically diagnosed with lung cancer.

resultsA total of 240 patients with lung cancer were recruited, including 89 patients who were newly diagnosed and 151 patients who had previously received treatment. Sixty-six newly diagnosed patients were evaluated using both methods. The CTC detection rates were 71.2% and 33.3% using the oHSV1-hTERT-GFP and CellSearch methods, respectively; this difference was statistically significant (P = 0.000). Among the entire cohort (n = 240), the CTC detection rate using the oHSV1-hTERT-GFP method was 76.3%, with a CTC count of 0-81. The CTC detection rates were 76.7%, 68.9%, and 76.3% in patients with squamous cell carcinoma, adenocarcinoma, and small cell lung cancer, respectively. There was no statistically significant difference in the CTC detection rates between these different pathological subtypes (P = 0.738). The CTC detection rates of 79.8% and 74.4% in patients with stage I-III and IV lung cancer, respectively, were not significantly different (P = 0.427).

conclusionThe oHSV1-hTERT-GFP method is highly effective for detecting CTCs in patients with lung cancer, independent of pathological type and disease stage, and is ideal for large-scale clinical applications.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplastic Cells, CirculatingBiomarkers, TumorCellSearchcirculating tumor celllung canceroHSV1-hTERT-GFP

Identifiers

PMID29068150
PMCPMC5754295
OpenAlexW2766033291

What OpenQuestion holds

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Registered trials

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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.