Evidence map›Paper›PMID 42177352›Full record

ArticleInternational journal of clinical oncology2026

SCRUM-Japan MONSTAR3 hematology cohort: a nationwide multi-omics integrated platform for next-generation precision medicine in hematologic malignancies.

Kensuke Matsuda, Junichiro Yuda, Ryo Yoshimaru, Isamu Harima, Hajime Sakuma, Atsushi Uehara, Masafumi Oto, Masahiko Fukatsu, Takayuki Ikezoe, Hiroaki Araie and 16 more

Abstract read
In one paragraph

Article in International journal of clinical oncology, 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
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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

26 authors.

Kensuke MatsudaDepartment of Hematology, National Cancer Center Hospital East, Kashiwa, Japan.
Junichiro YudaDepartment of Hematology, National Cancer Center Hospital East, Kashiwa, Japan. jyuda@east.ncc.go.jp.ORCID http://orcid.org/0000-0002-4908-1636
Ryo YoshimaruDepartment of Hematology, National Cancer Center Hospital East, Kashiwa, Japan.
Isamu HarimaDepartment of Hematology, National Cancer Center Hospital East, Kashiwa, Japan.
Hajime SakumaDepartment of Hematology, National Cancer Center Hospital East, Kashiwa, Japan.
Atsushi UeharaDivision of Hematology/Oncology, Department of Internal Medicine, Kameda Medical Center, Kamogawa, Japan.
Masafumi OtoDepartment of Hematology and Medical Oncology, Japanese Red Cross Kumamoto Hospital, Kumamoto, Japan.
Masahiko FukatsuDepartment of Hematology, Fukushima Medical University Hospital, Fukushima, Japan.
Takayuki IkezoeDepartment of Hematology, Fukushima Medical University Hospital, Fukushima, Japan.
Hiroaki AraieDepartment of Hematology and Oncology, University of Fukui, Fukui, Japan.
Naoko HosonoDepartment of Hematology and Oncology, University of Fukui, Fukui, Japan.
Chikako OhwadaDepartment of Hematology, International University of Health and Welfare, Narita, Japan.
Chiaki NakasekoDepartment of Hematology, International University of Health and Welfare, Narita, Japan.
Seiji KakiuchiDepartment of Hematology, Yodogawa Christian Hospital, Osaka, Japan.
Takao FujisawaTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Tadayoshi HashimotoTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Taro ShibukiTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Mitsuho ImaiTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Michiko NagamineDepartment of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Japan.
Shingo SakashitaDivision of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.
Riu YamashitaDivision of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center Hospital East, Kashiwa, Japan.
Akio DodoTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Satoshi HorasawaTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Yoshiaki NakamuraTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Hideaki BandoTranslational Research Support Office, National Cancer Center Hospital East, Kashiwa, Japan.
Takayuki YoshinoDepartment of Gastroenterology and Gastrointestinal Oncology, National Cancer Center Hospital East, Kashiwa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHematologic malignancies exhibit marked biological heterogeneity that is often insufficiently characterized by genomic profiling alone. Integrated multi-omics approaches are required to enable more accurate prognostic stratification, elucidate resistance mechanisms, and identify therapeutic vulnerabilities across lymphoma, leukemia, and plasma cell neoplasms.

methodsSCRUM-Japan MONSTAR3 is a nationwide, prospective, integrated multi-omics platform. The hematology cohort aims to enroll 400 patients with newly diagnosed or relapsed/refractory hematologic malignancies. Tumor specimens-including bone marrow aspirates/biopsies or lymph node tissues-are collected at diagnosis and at relapse. The multi-omics workflow encompasses whole-exome sequencing, whole-transcriptome sequencing, spatial transcriptomics, plasma proteomics, metabolomics, microbiome analysis, and tumor-informed measurable residual disease (MRD) monitoring. MRD is assessed using next-generation sequencing-based immunoglobulin heavy (IgH) and T-cell receptor (TCR) rearrangement analysis for lymphoid malignancies and whole-genome sequencing-based variant tracking for myeloid malignancies.

resultsPatient enrollment began in December 2024, followed by nationwide multicenter activation in November 2025. Multi-omics analyses have been implemented in a stepwise manner. Early operational indicators, including biospecimen acquisition, data quality control, and initiation of molecular assays, demonstrate the feasibility of coordinated nationwide deployment of this complex platform.

conclusionThe MONSTAR3 hematology cohort represents the first nationwide integrated multi-omics initiative dedicated to hematologic malignancies. Its large scale, standardized biospecimen framework, and capacity to incorporate emerging technologies provide a robust infrastructure for molecular stratification, longitudinal disease monitoring, and hypothesis-driven interventional research, thereby advancing clinically actionable precision hematology.

Indexed as

Hematologic NeoplasmsPrecision MedicineFemaleHigh-Throughput Nucleotide SequencingHumansMultiomicsNeoplasm, ResidualProspective StudiesProteomicsMeasurable residual diseaseMONSTAR3Multi-omics profilingPrecision medicineSCRUM-JapanSpatial transcriptomics

Identifiers

PMID42177352
PMCPMC13303326

What Socratic holds

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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 Socratic graph.