Evidence map›Paper›PMID 31423285›Full record

ArticleOncology letters2019

Maximum allele frequency observed in plasma: A potential indicator of liquid biopsy sensitivity.

Yong Tang, Xianling Liu, Zhu'An Ou, Zhe He, Qihang Zhu, Ye Wang, Mei Yang, Junyi Ye, Han Han-Zhang, Guibin Qiao

Abstract read
In one paragraph

Article in Oncology letters, 2019. 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
–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

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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.

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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

10 authors.

Yong TangDepartment of Thoracic Surgery, General Hospital of Southern Theater Command, Guangzhou, Guangdong 510010, P.R. China.
Xianling LiuDepartment of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410008, P.R. China.
Zhu'An OuDepartment of Thoracic Surgery, General Hospital of Southern Theater Command, Guangzhou, Guangdong 510010, P.R. China.
Zhe HeDepartment of Thoracic Surgery, General Hospital of Southern Theater Command, Guangzhou, Guangdong 510010, P.R. China.
Qihang ZhuDepartment of Thoracic Surgery, General Hospital of Southern Theater Command, Guangzhou, Guangdong 510010, P.R. China.
Ye WangDepartment of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China.
Mei YangDepartment of Cadre Treatment, The Third Affiliated Hospital of Kunming Medical University (Yunnan Province Tumor Hospital), Kunming, Yunnan 650118, P.R. China.
Junyi YeBurning Rock Biotech, Guangzhou, Guangdong 510300, P.R. China.
Han Han-ZhangBurning Rock Biotech, Guangzhou, Guangdong 510300, P.R. China.
Guibin QiaoDepartment of Thoracic Surgery, Guangdong General Hospital, Guangzhou, Guangdong 510245, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized medicine is revolutionizing the diagnosis and treatment of cancer; however, for personalized medicine to be used accurately, patient information is essential to determine the appropriate diagnosis, prognosis and treatment. The detection of genomic mutations in liquid biopsy samples is a non-invasive method of characterizing the genotype of a tumor. However, next generation sequencing-based plasma genotyping only has a sensitivity of ~70%. Identifying potential indicators that may reflect the sensitivity of a liquid biopsy analysis could offer important information for its clinical application. In the present study, 47 pairs of patient-matched plasma and tumor tissue samples obtained from patients with advanced lung cancer were sequenced using a panel of 56 cancer-associated genes. The plasma maximum allele frequency (Max AF) was identified as a novel biomarker to indicate the sensitivity of plasma genotyping. Using the identified somatic mutations in patient tissue biopsy samples as a reference, the sensitivity of the corresponding patient plasma test was investigated. The by-variant sensitivity of the plasma test was 68.1%, with 79 matched and 37 missed genetic aberrances. The by-patient sensitivity was calculated as 83%. Patients with a high plasma Max AF value (>2.2%) demonstrated a higher concordance with the range of mutations identified in the patient-matched tissue samples. The Max AF observed in patient plasma samples was positively correlated with liquid biopsy sensitivity and could be used as a potential indicator of liquid biopsy sensitivity. Therefore, patients with a low plasma Max AF (≤2.2%) may need to undergo further tissue biopsy to allow personalized oncology treatment. In summary, the present study may offer a non-invasive testing method for a sub-group of patients with advanced lung cancer.

Indexed as

liquid biopsymaximum allelic fractionnon-small cell lung cancerpersonalized medicine

Identifiers

PMID31423285
PMCPMC6607097

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