Evidence map›Paper›PMID 42706314›Full record

ArticleLeukemia2026

Circulating tumor cells identify a disseminated genomic high-risk phenotype within IMS-IMWG 2025 staging in newly diagnosed multiple myeloma.

Yating Li, Lihui Shi, Wenqiang Yan, Yuntong Liu, Jian Cui, Jingyu Xu, Jieqiong Zhou, Chenxing Du, Shuhui Deng, Weiwei Sui and 3 more

Registry-linked trialAbstract read
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In one paragraph

Article in Leukemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04645199 (National Longitudinal Cohort of Hematological Diseases), which is not on this 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.

NCT04645199 recruitingnot on this map

National Longitudinal Cohort of Hematological Diseases (NICHE)

TypeobservationalSponsorInstitute of Hematology & Blood Diseases Hospital, ChinaRan2020 to 2030Enrolled2,300ConditionsMultiple Myeloma, Acute Myeloid Leukemia, Hemophilia, Hemophilia A
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.

Yating Li *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Lihui Shi *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Wenqiang Yan *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Yuntong LiuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Jian CuiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID http://orcid.org/0000-0002-3885-6782
Jingyu XuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID http://orcid.org/0000-0002-3698-2072
Jieqiong ZhouState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Chenxing DuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID http://orcid.org/0000-0002-4523-6602
Shuhui DengState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Weiwei SuiState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Yan XuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Lugui QiuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. qiulg@ihcams.ac.cn.ORCID http://orcid.org/0000-0002-8752-0644
Gang AnState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. angang@ihcams.ac.cn.ORCID http://orcid.org/0000-0003-4922-4614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2025 IMS-IMWG consensus genomic staging (CGS) system has improved genomic risk stratification in newly diagnosed multiple myeloma (NDMM), yet does not capture whether high-risk clones have acquired a disseminated phenotype. We investigated whether circulating tumor cells (CTC) refine CGS and enable longitudinal residual disease monitoring. We retrospectively analyzed 631 MM patients from the NICHE cohort (NCT04645199) who underwent CTC assessment across disease phases. Among 410 patients assessed at diagnosis, CTC were detectable in 63.9% and correlated with both bone marrow plasma cell infiltration and accumulation of high-risk cytogenetic abnormalities. In 359 NDMM patients with adequate follow-up, a cohort-derived CTC threshold of 0.38% independently predicted inferior progression-free survival (PFS) after multivariable adjustment. Importantly, CTC refined prognostic stratification specifically within the CGS high-risk subgroup. Patients with CGS high-risk/CTC-high disease had the shortest PFS, thereby defining a disseminated genomic high-risk phenotype comprising 12.4% (39/314) of evaluable NDMM patients. In follow-up cohorts, detectable CTC were associated with inferior outcomes in 127 patients assessed during non-progressive disease states, whereas combined CTC and bone marrow minimal residual disease assessment stratified outcomes in 120 patients with paired measurements. Overall, CTC-integrated CGS supports minimally invasive baseline risk stratification and longitudinal disease monitoring.

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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.