Evidence map›Paper›PMID 41667751›Full record

ArticleScientific reports2026

Analytical and clinical validation of CancerMaster, an automated targeted NGS panel, for tumor-only precision oncology.

Jingmin Che, Woo Sun Kwon, Jaeyoung Kim, Erkhembayar Jadamba, Hyo Jun Han, Yuhnam Kim, Choong-Kun Lee, Chan Hee Park, Ye Jin Moon, Han Byeol Mun and 2 more

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2026. 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
–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

1 citing paper in PubMed.

  1. Article
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.

Jingmin Che *Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Woo Sun Kwon *Song-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jaeyoung KimPharos iBio Co., Ltd, Seoul, Republic of Korea.
Erkhembayar JadambaMogam Institute for Biomedical Research, Seoul, Republic of Korea.
Hyo Jun HanCelemics, Seoul, Republic of Korea.
Yuhnam KimCelemics, Seoul, Republic of Korea.
Choong-Kun LeeSong-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Chan Hee ParkSong-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Ye Jin MoonSong-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Han Byeol MunSong-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyun Cheol ChungSong-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sun Young RhaSong-dang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea. rha7655@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a CancerMaster-targeted next generation sequencing (NGS) panel covering 524 key genes specifically designed for the multidimensional molecular profiling of solid tumors. We aimed to establish CancerMaster as an asynchronous and parallel one-stop automated analysis pipeline with a reporting system to overcome the delay in existing NGS approaches. This panel can detect common genomic alteration types, including single nucleotide variants/indels and copy number variants (CNVs), fusions, Epstein-Barr virus/human papillomavirus infection, microsatellite instability (MSI), tumor mutational burden (TMB) status, and human leukocyte antigen typing. Using reference materials, CancerMaster demonstrated 100% reproducibility, 99% analytical sensitivity, and high accuracy (94%). Analytical performance for other biomarker classes-including CNVs, fusions, MSI, TMB, and viral detection-was evaluated separately. In a cohort of 668 patients, we identified actionable mutations, including in TP53, KRAS, and PIK3CA, and CNVs, e.g., ERBB2 amplification in gastric (n = 412) and colorectal (n = 66) cancers. MSI and TMB were strongly correlated in all patients (n = 668, r = 0.75; p < 10

Indexed as

High-Throughput Nucleotide SequencingNeoplasmsPrecision MedicineBiomarkers, TumorDNA Copy Number VariationsFemaleHumansMaleMicrosatellite InstabilityMutationReproducibility of ResultsBiomarkers, TumorColorectal cancerGastric cancerMSIPrecision oncology. comprehensive genomic profilingTMB

Identifiers

PMID41667751
PMCPMC12957461

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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.