Evidence map›Paper›PMID 42205992›Full record

ArticleBlood and lymphatic cancer : targets and therapy2026

A Risk Model Using Refined Disease Risk Index and 1-Month NK-Cell Count for Relapse in Children and Adults with T-ALL/LBL After Myeloablative Umbilical Cord Blood Transplantation.

Na Zhao, Rong Chi, Kaidi Song, Yue Wu, Bingbing Yan, Dongyao Wang, Baolin Tang, Xiaoyu Zhu

Abstract read
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Article in Blood and lymphatic cancer : targets and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Na Zhao *Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Rong Chi *Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.ORCID 0009-0002-5113-7384
Kaidi Song *Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Yue WuDepartment of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Bingbing YanDepartment of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Dongyao WangDepartment of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.ORCID 0000-0003-1720-1135
Baolin TangDepartment of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Xiaoyu ZhuDepartment of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.ORCID 0000-0002-1111-9141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To assess transplant outcomes after umbilical cord blood transplantation (UCBT) in patients with T-cell acute lymphoblastic leukemia/lymphoblastic lymphoma (T-ALL/LBL) and identify factors associated with relapse. Patients and Methods: We retrospectively analyzed 105 patients with T-ALL/LBL (age, 2-53 years), who underwent single-unit UCBT as their first transplant at our center between January 2014 and June 2024. Transplant outcomes were assessed in the overall cohort. Relapse-associated factors were identified using Fine-Gray competing-risk regression in the subgroup with available 1-month peripheral blood natural killer (NK) cell measurements (58/105, 55.2%). The 1-month NK-cell count was dichotomized based on the median number in the analyzed cohort. A simplified risk score was derived from the final multivariable model. Model performance was assessed using time-dependent area under the curve (AUC) and calibration analysis. Results: In the overall cohort, the 3-year overall survival, progression-free survival, and GVHD-free relapse-free survival were 57.3% (95% CI, 46.9-66.4%), 54.9% (95% CI, 44.9-63.9%), and 49.3% (95% CI, 39.5-58.5%), respectively, and the 3-year cumulative incidence of relapse was 34.5% (95% CI, 25.5-43.6%). In the NK-measured subgroup, multivariable Fine-Gray analysis identified high refined Disease Risk Index (R-DRI) (sHR, 4.561; 95% CI, 1.662-12.51; Conclusion: Relapse remains a major cause of treatment failure after UCBT in T-ALL/LBL. High R-DRI and low 1-month NK-cell count were independently associated with relapse and allowed apparent risk stratification in the development cohort. This exploratory 2-factor model may provide a basis for future studies of relapse assessment incorporating early immune recovery.

Indexed as

competing risksimmune recoveryprognosisstratification

Identifiers

PMID42205992
PMCPMC13207877

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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.