Evidence map›Paper›PMID 25957890›Full record

ArticleJournal of hematology & oncology2015

Clinical significance of day 5 peripheral blast clearance rate in the evaluation of early treatment response and prognosis of patients with acute myeloid leukemia.

Cong Yu, Qing-lei Kong, Yun-xiang Zhang, Xiang-qin Weng, Jing Wu, Yan Sheng, Chun-lei Jiang, Yong-mei Zhu, Qi Cao, Shu-min Xiong and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06652685 (Molecular Subtype Combined with Early Minimal Residual Disease to Optimize the Treatment of Young Treatment-naive Acute Myeloid Leukemia), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT06652685 phase2not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Molecular Subtype Combined with Early Minimal Residual Disease to Optimize the Treatment of Young Treatment-naive Acute Myeloid Leukemia: a Multicenter, Phase II Study

TypeinterventionalSponsorRuijin HospitalRan2024 to 2027Enrolled218ConditionsAcute Myeloid Leukemia (AML)ArmsD5-PBCR(-) IA arm, D5-PBCR(+) IA+Venetoclax arm
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

14 authors.

Cong YuState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. yucong100@126.com.
Qing-lei KongState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. pacifican@126.com.
Yun-xiang ZhangState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. kittyzyx@msn.com.
Xiang-qin WengState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. wxq7803@126.com.
Jing WuState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. wujing.918@163.com.
Yan ShengState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. shy_81119@163.com.
Chun-lei JiangState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. mecolan1982@hotmail.com.
Yong-mei ZhuState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. zymeismile@163.com.
Qi CaoState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. caoqi0908@163.com.
Shu-min XiongState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. milan_xiong@163.com.
Jun-min LiState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. lijunmin@medmail.com.cn.
Xiao-dong XiState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. xi_xiaodong@shsmu.edu.cn.
Sai-juan ChenState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. sjchen@stn.sh.cn.
Bing ChenState Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital, affiliated to Shanghai Jiao Tong University (SJTU) School of Medicine, Collaborative Innovation Center of Systems Biomedicine, SJTU, Shanghai, China. chenbing.rjsih@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimal residual disease detection in the bone marrow is usually performed in patients with acute myeloid leukemia undergoing one course of induction chemotherapy. To optimize the chemotherapy strategies, more practical and sensitive markers are needed to monitor the early treatment response during induction. For instance, peripheral blood (PB) blast clearance rate may be considered as such a monitoring marker.

methodsPB blasts were monitored through multiparameter flow cytometry (MFC). Absolute counts were determined before treatment (D0) and at specified time points of induction chemotherapy (D3, D5, D7, and D9). The cut-off value of D5 peripheral blast clearance rate (D5-PBCR) was defined through receiver operating characteristic (ROC) analysis. Prognostic effects were compared among different patient groups according to D5-PBCR cut-off value.

resultsD5-PBCR cut-off value was determined as 99.55%. Prognostic analysis showed that patients with D5-PBCR ≥99.55% more likely achieved complete remission (94.6% vs. 56.1%, P < 0.001) and maintained a relapse-free status than other patients (80.56% vs. 57.14%, P = 0.027). Survival analysis revealed that relapse-free survival (RFS) and overall survival (OS) were longer in patients with D5-PBCR ≥99.55% than in other patients (two-year OS: 71.0% vs. 38.7%, P = 0.011; two-year RFS: 69.4% vs. 30.7%, P = 0.026). In cytogenetic-molecular intermediate-risk group, a subgroup with worse outcome could be distinguished on the basis of D5-PBCR (<99.55%; OS: P = 0.033, RFS: P = 0.086).

conclusionsAn effective evaluation method of early treatment response was established by monitoring PB blasts through MFC. D5-PBCR cut-off value (99.55%) can be a reliable reference to predict treatment response and outcome in early stages of chemotherapy. The proposed marker may be used in induction regimen modification and help optimize cytogenetic-molecular prognostic risk stratification.

Indexed as

AdolescentAdultAgedArea Under CurveBlast CrisisFemaleFlow CytometryHumansInduction ChemotherapyLeukemia, Myeloid, AcuteMaleMiddle AgedNeoplasm, ResidualPrognosisRemission InductionROC Curve

Identifiers

PMID25957890
PMCPMC4431040

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Registered trials

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.