Evidence map›Paper›PMID 42310468›Full record

ArticleCancer medicine2026

High Sensitivity ctDNA Analysis Using a Novel Panel and NOIR-SS Technology for Monitoring Advanced Urothelial Carcinoma.

Tetsuya Danno, Seiji Nakamura, Satoru Taguchi, Yoichi Fujii, Taro Teshima, Yusuke Sato, Taketo Kawai, Yukari Kobayashi, Koji Nagaoka, Yumi Ueda and 3 more

Abstract read
In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Tetsuya DannoDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Seiji NakamuraDNA Chip Research Inc, Tokyo, Japan.
Satoru TaguchiDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1291-4294
Yoichi FujiiDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taro TeshimaDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yusuke SatoDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taketo KawaiDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7279-2874
Yukari KobayashiDepartment of Immunology, Faculty of Medicine, Kindai University, Osaka, Japan.ORCID https://orcid.org/0000-0002-2600-2181
Koji NagaokaDepartment of Immunology, Faculty of Medicine, Kindai University, Osaka, Japan.
Yumi UedaDNA Chip Research Inc, Tokyo, Japan.
Ryo MatobaDNA Chip Research Inc, Tokyo, Japan.
Kazuhiro KakimiDepartment of Immunology, Faculty of Medicine, Kindai University, Osaka, Japan.
Haruki KumeDepartment of Urology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science 23K08731
6 · The paper itself

Abstract

Advanced urothelial carcinoma (aUC) has a poor prognosis, and real-time monitoring of treatment response remains clinically challenging. Circulating tumor DNA (ctDNA) has emerged as a promising non-invasive biomarker that may reflect tumor burden and molecular response. In this study, we analyzed ctDNA dynamics using a urothelial carcinoma-specific mutation panel and the non-overlapping integrated read sequencing system (NOIR-SS), a high-fidelity deep sequencing platform incorporating molecular barcoding for enhanced analytical sensitivity. Tumor tissue and serial plasma samples were collected from 15 patients with aUC treated with dose-dense methotrexate, vinblastine, doxorubicin, and cisplatin (ddMVAC). The custom panel targeted hotspot mutations in TP53, FGFR3, KRAS/HRAS, and the TERT promoter. Based on tumor-derived mutations, a tumor-informed approach was used to track ctDNA in plasma. ctDNA was detectable in 10 of 15 patients prior to ddMVAC and showed a trend toward association with total tumor volume, especially in cases with liver metastases. In contrast, ctDNA detection was limited in cases with only pulmonary metastases. Longitudinal changes in variant allele frequency largely mirrored treatment response, although discrepancies were observed in two cases, likely reflecting subclonal resistance. While the NOIR-SS-based assay proved sensitive and informative, limitations include the cost and time required for sequencing, potential temporal discordance between tissue and plasma sampling, and the absence of correction for clonal hematopoiesis of indeterminate potential. Overall, ctDNA profiling using this targeted panel and NOIR-SS suggested the feasibility of sensitive, non-invasive molecular monitoring in aUC, and may have future clinical applicability if validated prospectively in larger cohorts.

Indexed as

Biomarkers, TumorCirculating Tumor DNAHigh-Throughput Nucleotide SequencingAgedAntineoplastic Combined Chemotherapy ProtocolsFemaleHumansMaleMiddle AgedMutationBiomarkers, TumorCirculating Tumor DNAcfDNActDNAliquid biopsyNOIR‐SSurothelial carcinoma

Identifiers

PMID42310468
PMCPMC13275330

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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.