Evidence map›Paper›PMID 35305253›Full record

ArticleMolecular diagnosis & therapy2022

Concordance Study of a 520-Gene Next-Generation Sequencing-Based Genomic Profiling Assay of Tissue and Plasma Samples.

Minghui Wang, Xianshan Chen, Yongmei Dai, Duoguang Wu, Fang Liu, Zheng Yang, Baozhi Song, Li Xie, Liangwei Yang, Weidi Zhao and 9 more

Abstract read
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In one paragraph

Article in Molecular diagnosis & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

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

26 citing papers in PubMed.

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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

19 authors.

Minghui Wang *Department of Thoracic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510220, China.
Xianshan Chen *Department of Thoracic Surgery, Hainan General Hospital, Hainan, 570311, China.
Yongmei DaiDepartment of Oncology, Shengli Clinical Medical College of Fujian Medical University & Fujian Provincial Hospital, Fuzhou, 350001, China.
Duoguang WuDepartment of Thoracic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510220, China.
Fang LiuDepartment of Pathology, The First People's Hospital of Foshan, Foshan, 528000, China.
Zheng YangDepartment of Pathology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, China.
Baozhi SongDepartment of Gynecology, Shengli Clinical Medical College of Fujian Medical University & Fujian Provincial Hospital, Fuzhou, 350001, China.
Li XieDepartment of Oncology, Shengli Clinical Medical College of Fujian Medical University & Fujian Provincial Hospital, Fuzhou, 350001, China.
Liangwei YangDepartment of Cardiothoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences (Ningbo No. 2 Hospital), No. 41 Xibei Road, Ningbo, 315010, Zhejiang, China.
Weidi ZhaoDepartment of Cardiothoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences (Ningbo No. 2 Hospital), No. 41 Xibei Road, Ningbo, 315010, Zhejiang, China.
Chenxu ZhangDepartment of Cardiothoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences (Ningbo No. 2 Hospital), No. 41 Xibei Road, Ningbo, 315010, Zhejiang, China.
Weixi ShenDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China.
Chengjuan FanDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China.
Chong TengDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China.
Xue ZhaoDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China.
Naisheng GaoDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China.
Di ShangDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China.
Guofang ZhaoDepartment of Cardiothoracic Surgery, Hwa Mei Hospital, University of Chinese Academy of Sciences (Ningbo No. 2 Hospital), No. 41 Xibei Road, Ningbo, 315010, Zhejiang, China. guofzhao@hotmail.com.
Tao XinDepartment of Oncology, The Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang, Harbin, 150081, Heilongjiang, China. xintao123456x@163.com.ORCID 0000-0002-7747-4269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNext-generation sequencing (NGS) enables simultaneous detection of actionable somatic variants and estimation of genomic signatures such as tumor mutational burden (TMB) or microsatellite instability (MSI) status, which empowers therapeutic decisions in clinical oncology.

objectiveOur retrospective study investigated the clinical performance of somatic variant detection in paired tissue and blood samples using a large targeted gene panel, the OncoScreen Plus, which interrogates 520 cancer-related genes.

methodsWe analyzed sequencing data derived from paired tissue and blood samples of 3005 patients spanning 20 solid tumor types, including lung (n = 1971), gastrointestinal (n = 625), breast (n = 120) and gynecological (n = 110), genitourinary (n = 38), and other cancers (n = 141).

resultsAcross tumor types, the OncoScreen Plus panel achieved a high tissue detection rate, with an average of 97.9%. The average plasma detection rate was 72.2%, with an average tissue concordance rate of 36.6%. Considering all variant types, the plasma assay yielded an average sensitivity/true positive rate of 45.7%, with a positive predictive value of 64.7% relative to tissue assay. Pearson correlation analysis revealed a strong correlation in TMB estimated from blood and tissue samples (correlation coefficient 0.845, R

conclusionPaired tumor and blood samples from a large cohort of patients spanning 20 tumor types demonstrated that the OncoScreen Plus is a reliable pan-cancer panel for the accurate detection of somatic variants and genomic signatures that could guide individualized treatment strategies to improve the care of patients with advanced cancer.

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsBiomarkers, TumorGenomicsHumansMicrosatellite InstabilityMutationRetrospective StudiesBiomarkers, Tumor

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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.