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Hematologic Malignancies: Treatment Strategies and Future Challenges: 2nd Edition

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Hematology".

Deadline for manuscript submissions: 25 October 2026 | Viewed by 1481

Editor


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Guest Editor
Department of Hematology, Juntendo University Urayasu Hospital, 2-1-1 Tomioka, Urayasu-shi, Japan
Interests: hematolygy; lymphoma; hematological malignancies; multiple myeloma
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Special Issue Information

Dear Colleagues,

This is the second edition of the Special Issue "Hematologic Malignancies: Treatment Strategies and Future Challenges".

Hematologic malignancies are among the most prevalent cancers, and their incidence has increased in recent decades. Despite clinical progress, challenges such as relapse, refractory cases, and drug resistance remain. The main purpose of this research theme is to introduce current therapeutic strategies and, as future challenges, to explore the future of hematologic malignancies, such as discovery of new targets or biomarkers and epigenetic drugs. It also includes the development of novel drugs in combination with conventional chemotherapeutic agents to reduce side effects and resistance in hematologic malignancies. Authors are encouraged to submit original research papers and reviews. We encourage submissions that provide new insights into underlying proliferation and resistance mechanisms in the treatment of hematological malignancies and discuss the clinical implications of these findings. After submission, all manuscripts are peer-reviewed according to standard journal procedures and policies. We hope that you will accept this invitation and contribute to the success of this Special Issue. We look forward to working with you.

Dr. Masaaki Noguchi
Guest Editor

Manuscript Submission Information

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Keywords

  • hematologic malignancies
  • relapse
  • refractory
  • drug resistance
  • therapeutic strategies
  • new target
  • biomarkers
  • new insights

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Related Special Issue

Published Papers (2 papers)

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12 pages, 596 KB  
Article
Glasgow Prognostic Score and Gustave Roussy Immune Score in Hodgkin Lymphoma: Survival Associations and Limited Incremental Prognostic Value Beyond the International Prognostic Score
by Kemal Aygün, Şerife Solmaz, Olgu Aygün, İbrahim Eryılmaz, Tugba Cetintepe, Hatice Demet Kiper Unal, Alev Garip Acar and Eray Arslan
J. Clin. Med. 2026, 15(13), 5159; https://doi.org/10.3390/jcm15135159 - 2 Jul 2026
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Abstract
Background/Objectives: Although outcomes in Hodgkin lymphoma (HL) have improved substantially, patients with advanced-stage disease, comorbidities, or relapsed/refractory presentations can still fare poorly. Blood-based indices of systemic inflammation and nutrition are derived from routine tests, but their value beyond established prognostic models is uncertain. [...] Read more.
Background/Objectives: Although outcomes in Hodgkin lymphoma (HL) have improved substantially, patients with advanced-stage disease, comorbidities, or relapsed/refractory presentations can still fare poorly. Blood-based indices of systemic inflammation and nutrition are derived from routine tests, but their value beyond established prognostic models is uncertain. We examined the association of the baseline Gustave Roussy Immune Score (GRIm) and Glasgow Prognostic Score (GPS) with treatment response, progression-free survival (PFS), and overall survival (OS) in HL, focusing on their performance relative to the seven-factor International Prognostic Score (IPS-7). Methods: We retrospectively analysed 110 adults with histologically confirmed HL treated at a tertiary haematology centre between January 2015 and December 2025. GPS, GRIm, and IPS-7 were calculated from data recorded at diagnosis. Treatment response was classified as complete versus non-complete. Outcomes were assessed with Kaplan–Meier analysis, log-rank tests, Cox regression, Harrell’s C-index, and likelihood-ratio testing. Results: Most patients had advanced-stage disease (69.1%) and received ABVD-based treatment (94.5%); complete response was achieved in 90 (81.8%). GPS and GRIm were not significantly associated with non-complete response, whereas IPS-7 was. Over a median follow-up of 39.5 months, 28 patients (25.5%) progressed or died and 17 (15.5%) died. In univariable Cox analysis, high GRIm risk (HR = 2.68, 95% CI 1.17–6.14), higher GPS (HR = 2.18 per point, 95% CI 1.23–3.89), and higher IPS-7 (HR = 2.10 per point, 95% CI 1.59–2.77) predicted shorter PFS. For OS, GPS and IPS-7 were significant, whereas GRIm was not. After adjustment for IPS-7, neither GPS nor GRIm remained independently associated with PFS or OS, and adding either score to IPS-7 produced only small, non-significant gains in discrimination. Conclusions: Baseline GPS and GRIm were associated with survival on univariable analysis, particularly for PFS, but their incremental value beyond IPS-7 was limited. These scores may help describe baseline inflammatory and nutritional risk and should not be regarded as alternatives to established HL prognostic models. In particular, GPS and GRIm were not significantly associated with treatment response and should be viewed as supportive markers requiring external validation, rather than as tools that can independently guide treatment decisions. Full article
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20 pages, 3911 KB  
Case Report
A New Histology-Based Prognostic Index for Acute Lymphoblastic Leukemia: Preliminary Results of the “ALL Urayasu Classification”
by Toru Mitsumori, Hideaki Nitta, Haruko Takizawa, Hiroko Iizuka-Honma, Chiho Furuya, Suiki Maruo, Maki Fujishiro, Shigeki Tomita, Akane Hashizume, Tomohiro Sawada, Kazunori Miyake, Mitsuo Okubo, Yasunobu Sekiguchi and Masaaki Noguchi
J. Clin. Med. 2026, 15(2), 768; https://doi.org/10.3390/jcm15020768 - 17 Jan 2026
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Abstract
Background/Objectives: Mechanisms underlying treatment resistance in hematopoietic malignancies such as acute lymphoblastic leukemia (ALL) include (1) enhanced activity of anticancer drug efflux mechanisms (MRP1); (2) suppressed activity of anticancer drug influx mechanisms (ENT-1); (3) enhanced drug detoxification activity (AKR1B10, AKR1C3, CYP3A4); (4) [...] Read more.
Background/Objectives: Mechanisms underlying treatment resistance in hematopoietic malignancies such as acute lymphoblastic leukemia (ALL) include (1) enhanced activity of anticancer drug efflux mechanisms (MRP1); (2) suppressed activity of anticancer drug influx mechanisms (ENT-1); (3) enhanced drug detoxification activity (AKR1B10, AKR1C3, CYP3A4); (4) influence of the tumor microenvironment (GRP94), etc. We conducted this study to comprehensively and clinically examine treatment resistance due primarily to a decrease in the tumor intracellular anticancer drug concentrations. Methods: The subjects were 19 ALL patients who underwent initial induction therapy with alternating Hyper CVAD/MA therapy. Antibodies against 23 types of treatment resistance-associated proteins were used for immunohistochemical analysis of tumor specimens obtained from the patients, and correlations between the results of immunohistochemistry and the overall survival (OS) were retrospectively analyzed using the Kaplan–Meier method. Results: Based on the patterns of expression of the enzymes involved in treatment resistance, we classified the patients (Urayasu classification for ALL, which we believe would be very useful for accurately stratifying patients with ALL according to the predicted prognosis), as follows: Good prognosis group, n = 1, 5%: AKR1B1(+)/AKR1B10(−), 5-year overall survival (OS), 100%; Intermediate prognosis-1 group, n = 9, 5%: AKR1B1(−)/AKR1B10(−) plus MRP1(−), 5-year OS, 68%; Intermediate-2 prognosis group, n = 6.3%: AKR1B1(−)/AKR1B10(−) plus MRP1(+), median survival, 17 months, 5-year OS, 20%; and Poor prognosis group, n = 3, 16%: AKR1B1(−)/AKR1B10(+), median survival, 18 months, 5-year OS, 0%. n = 2. Conclusions: The Urayasu classification for ALL is considered reliable for predicting the prognosis of patients with ALL after the initial Hyper CVAD/MA remission induction therapy. Full article
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