Evidence map›Paper›PMID 34032165›Full record

ArticleTechnology in cancer research & treatment

A Modified Method to Isolate Circulating Tumor Cells and Identify by a Panel of Gene Mutations in Lung Cancer.

Helin Wang, Jieqing Wu, Qi Zhang, Jianqing Hao, Ying Wang, Zhuoran Li, Hongrui Niu, Hongtao Zhang, Shucai Zhang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Helin WangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Henan, China.ORCID 0000-0002-7059-4217
Jieqing WuDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Henan, China.
Qi ZhangDepartment of Oncology, Beijing Chaoyang Huanxing Cancer Hospital, Beijing, China.
Jianqing HaoDepartment of Respiratory Medicine, Qingyang People's Hospital, Gansu, China.
Ying WangDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Henan, China.
Zhuoran LiDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Henan, China.
Hongrui NiuDepartment of Oncology, The First Affiliated Hospital of Xinxiang Medical University, Henan, China.
Hongtao ZhangDepartment of Central Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Shucai ZhangDepartment of Oncology, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
First Affiliated Hospital of Xinxiang Medical University · CNCapital Medical University · CNCancer Hospital of Huanxing Chaoyang District Beijing · CNQingzhou City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CellSearch system is the only FDA approved and successful used detection technology for circulating tumor cells(CTCs). However, the process for identification of CTCs by CellSearch appear to damage the cells, which may adversely affects subsequent molecular biology assays. We aimed to explore and establish a membrane-preserving method for immunofluorescence identification of CTCs that keeping the isolated cells intact. 98 patients with lung cancer were enrolled, and the efficacy of clinical detection of CTCs was examined. Based on the CellSearch principle, we optimized an anti-EpCAM antibody and improved cell membrane rupture. A 5 ml peripheral blood sample was used to enrich CTCs with EpCAM immunomagnetic beads. Fluorescence signals were amplified with secondary antibodies against anti-EpCAM antibody attached on immunomagnetic beads. After identifying CTCs, single CTCs were isolated by micromanipulation. To confirm CTCs, genomic DNA was extracted and amplified at the single cell level to sequence 72 target genes of lung cancer and analyze the mutation copy number variations (CNVs) and gene mutations. A goat anti-mouse polyclonal antibody conjugated with Dylight 488 was selected to stain tumor cells. We identified CTCs based on EpCAM+ and CD45+ cells to exclude white blood cells. In the 98 lung cancer patients, the detection rate of CTCs (≥1 CTC) per 5 ml blood was 87.76%, the number of detections was 1-36, and the median was 2. By sequencing 72 lung cancer-associated genes, we found a high level of CNVs and gene mutations characteristic of tumor cells. We established a new CTCs staining scheme that significantly improves the detection rate and allows further analysis of CTCs characteristics at the genetic level.

Indexed as

MutationAdultAgedAged, 80 and overBiomarkers, TumorCell SeparationEpithelial Cell Adhesion MoleculeFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedNeoplastic Cells, CirculatingPrognosisBiomarkers, TumorEPCAM protein, humanEpithelial Cell Adhesion Moleculecirculating tumor cells (CTCs)copy number variations (CNVs)detection methodsepithelial cell adhesion molecule (EpCAM)lung cancer

Identifiers

PMID34032165
PMCPMC8155778
OpenAlexW3165387508

What OpenQuestion holds

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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.