Evidence map›Paper›PMID 37254002›Full record

ArticleAnalytical and bioanalytical chemistry2023

Rapid detection of EGFR mutation in CTCs based on a double spiral microfluidic chip and the real-time RPA method.

Wen-Man Li, Xiao-Dong Ren, Yu-Zhu Jiang, Ning Su, Bo-Wen Li, Xian-Ge Sun, Ruo-Xu Li, Wei-Ping Lu, Shao-Li Deng, Jin Li and 2 more

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Article in Analytical and bioanalytical chemistry, 2023. 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
0.5field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Wen-Man LiDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Xiao-Dong RenDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Yu-Zhu JiangDepartment of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China.
Ning SuDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Bo-Wen LiDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Xian-Ge SunDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Ruo-Xu LiDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Wei-Ping LuDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Shao-Li DengDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Jin LiDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Meng-Xia LiDepartment of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China. mengxia.li@outlook.com.
Qing HuangDepartment of Laboratory Medicine, Daping Hospital, Army Medical University, Chongqing, China. qinghuang@tmmu.edu.cn.
Army Medical University · CNDaping Hospital · CN

Funding

Military Logistics Research Project 2019XLC1010National Natural Science Foundation of China 82172370Natural Science Foundation of Chongqing cstc2020jcyj-msxmX0173
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are cells shed from primary or metastatic tumors and spread into the peripheral bloodstream. Mutation detection in CTCs can reveal vital genetic information about the tumors and can be used for "liquid biopsy" to indicate cancer treatment and targeted medication. However, current methods to measure the mutations in CTCs are based on PCR or DNA sequencing which are cumbersome and time-consuming and require sophisticated equipment. These largely limited their applications especially in areas with poor healthcare infrastructure. Here we report a simple, convenient, and rapid method for mutation detection in CTCs, including an example of a deletion at exon 19 (Del19) of the epidermal growth factor receptor (EGFR). CTCs in the peripheral blood of NSCLC patients were first sorted by a double spiral microfluidic chip with high sorting efficiency and purity. The sorted cells were then lysed by proteinase K, and the E19del mutation was detected via real-time recombinase polymerase amplification (RPA). Combining the advantages of microfluidic sorting and real-time RPA, an accurate mutation determination was realized within 2 h without professional operation or complex data interpretation. The method detected as few as 3 cells and 1% target variants under a strongly interfering background, thus, indicating its great potential in the non-invasive diagnosis of E19del mutation for NSCLC patients. The method can be further extended by redesigning the primers and probes to detect other deletion mutations, insertion mutations, and fusion genes. It is expected to be a universal molecular diagnostic tool for real-time assessment of relevant mutations and precise adjustments in the care of oncology patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeoplastic Cells, CirculatingErbB ReceptorsHumansMicrofluidicsMutationRecombinasesEGFR protein, humanErbB ReceptorsRecombinasesCirculating tumor cellEGFR mutation detectionMicrofluidic chipNon-small cell lung cancerRecombinase polymerase amplificationTargeted medication

Identifiers

PMID37254002
OpenAlexW4378757525

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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.