IPSS-m outperforms IPSS-R in younger adults with Myelodysplastic Syndromes: A retrospective age-stratified analysis

Abstract Introduction Myelodysplastic syndromes (MDS) predominantly affect older adults, with a median age at diagnosis over 70 years, and fewer than 10% of cases occurring before age 50. Aging is associated with clonal hematopoiesis and an increased prevalence of epigenetic mutations (e.g., TET2, ASXL1). Younger adults with MDS (<50 years) remain understudied and may exhibit distinct molecular and clinical features. This study evaluated whether the molecularly integrated Molecular International Prognostic Scoring System (IPSS-M) provides improved prognostic discrimination in younger patients compared to the conventional Revised International Prognostic Scoring System (IPSS-R). Methods We retrospectively analyzed 202 adult MDS patients consecutively diagnosed at West China Hospital between January 2015 and December 2022. Patients were dichotomized by age: <50 years (n=53) and ≥50 years (n=149). Clinical, laboratory, cytogenetic, and targeted next-generation sequencing data (including mutations in DNMT3A, ASXL1, TET2) were collected. Risk stratification was performed using both IPSS-R and IPSS-M. Overall survival (OS) was estimated via Kaplan–Meier analysis and compared using the log-rank test. Group differences were assessed using χ² or Fisher's exact tests for categorical variables, and t-tests or Mann–Whitney U tests for continuous variables. Results The median age was 58 years. Baseline hematologic parameters, cytogenetic risk, and World Health Organization/International Consensus Classification did not significantly differ between age groups (all p > 0.05). Older patients had more comorbidities, notably cardiovascular disease (29.5% vs. 7.5%, p < 0.05). Younger patients were more likely to undergo allogeneic stem cell transplantation (32.1% vs. 8.7%), while older patients more often received hypomethylating agents (59.1% vs. 35.8%). Genetically, mutations in the age-associated DAT gene cluster (DNMT3A, ASXL1, TET2) were significantly less frequent in younger patients (14.5%) compared to older patients (32.5%, p = 0.005). Specifically, TET2 and ASXL1 mutations were enriched in the older cohort (p < 0.001 and p = 0.034, respectively). Median OS was significantly longer in younger patients (17.2 vs. 13.6 months, p < 0.05). Prognostic discrimination by age subgroup revealed distinct patterns. Among older patients (≥50 years; n=149), both IPSS-R and IPSS-M stratified OS significantly. For IPSS-M, the extremely high-risk group (n=70) had a median OS of 15.0 months vs. 30.6 months in the non-extremely high-risk group (n=79, p < 0.0001). For IPSS-R, median OS was 18.6 vs. 29.5 months between extremely high-risk (n=68) and non-extremely high-risk groups (n=81, p = 0.015). In contrast, among younger patients (<50 years; n=53), only IPSS-M effectively separated survival risk. The extremely high-risk group (n=30) had a median OS of 14.9 months, while the non-extremely high-risk group (n=23) had not reached median OS (p = 0.0078). IPSS-R failed to distinguish OS in this cohort (median OS: 30.2 vs. 36.4 months, p = 0.27). These findings underscore the enhanced prognostic accuracy of IPSS-M in younger patients, where it identifies individuals with aggressive disease biology more precisely and avoids over-assignment to the intermediate-risk stratum. Conclusions Younger adults with MDS represent a biologically distinct subgroup, characterized by significantly fewer age-related mutations in DAT genes. In this population, the IPSS-M scoring system offers superior prognostic resolution compared to IPSS-R, particularly in distinguishing truly high-risk disease. Our results suggest that IPSS-M should be the preferred risk model for younger patients with MDS, enabling more accurate survival prediction and guiding clinical decisions such as early transplantation. Age-stratified application of molecular risk tools may enhance personalized management in adult MDS.

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Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-7391
Primary Topic
Acute Myeloid Leukemia Research
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article
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article

IPSS-m outperforms IPSS-R in younger adults with Myelodysplastic Syndromes: A retrospective age-stratified analysis

Ya Zhang, Jinjun Yang, Yu Wu
Blood
Acute Myeloid Leukemia Research
article

IPSS-m outperforms IPSS-R in younger adults with Myelodysplastic Syndromes: A retrospective age-stratified analysis

Ya Zhang, Jinjun Yang, Yu Wu
article en

Abstract

Abstract Introduction Myelodysplastic syndromes (MDS) predominantly affect older adults, with a median age at diagnosis over 70 years, and fewer than 10% of cases occurring before age 50. Aging is associated with clonal hematopoiesis and an increased prevalence of epigenetic mutations (e.g., TET2, ASXL1). Younger adults with MDS (<50 years) remain understudied and may exhibit distinct molecular and clinical features. This study evaluated whether the molecularly integrated Molecular International Prognostic Scoring System (IPSS-M) provides improved prognostic discrimination in younger patients compared to the conventional Revised International Prognostic Scoring System (IPSS-R). Methods We retrospectively analyzed 202 adult MDS patients consecutively diagnosed at West China Hospital between January 2015 and December 2022. Patients were dichotomized by age: <50 years (n=53) and ≥50 years (n=149). Clinical, laboratory, cytogenetic, and targeted next-generation sequencing data (including mutations in DNMT3A, ASXL1, TET2) were collected. Risk stratification was performed using both IPSS-R and IPSS-M. Overall survival (OS) was estimated via Kaplan–Meier analysis and compared using the log-rank test. Group differences were assessed using χ² or Fisher's exact tests for categorical variables, and t-tests or Mann–Whitney U tests for continuous variables. Results The median age was 58 years. Baseline hematologic parameters, cytogenetic risk, and World Health Organization/International Consensus Classification did not significantly differ between age groups (all p > 0.05). Older patients had more comorbidities, notably cardiovascular disease (29.5% vs. 7.5%, p < 0.05). Younger patients were more likely to undergo allogeneic stem cell transplantation (32.1% vs. 8.7%), while older patients more often received hypomethylating agents (59.1% vs. 35.8%). Genetically, mutations in the age-associated DAT gene cluster (DNMT3A, ASXL1, TET2) were significantly less frequent in younger patients (14.5%) compared to older patients (32.5%, p = 0.005). Specifically, TET2 and ASXL1 mutations were enriched in the older cohort (p < 0.001 and p = 0.034, respectively). Median OS was significantly longer in younger patients (17.2 vs. 13.6 months, p < 0.05). Prognostic discrimination by age subgroup revealed distinct patterns. Among older patients (≥50 years; n=149), both IPSS-R and IPSS-M stratified OS significantly. For IPSS-M, the extremely high-risk group (n=70) had a median OS of 15.0 months vs. 30.6 months in the non-extremely high-risk group (n=79, p < 0.0001). For IPSS-R, median OS was 18.6 vs. 29.5 months between extremely high-risk (n=68) and non-extremely high-risk groups (n=81, p = 0.015). In contrast, among younger patients (<50 years; n=53), only IPSS-M effectively separated survival risk. The extremely high-risk group (n=30) had a median OS of 14.9 months, while the non-extremely high-risk group (n=23) had not reached median OS (p = 0.0078). IPSS-R failed to distinguish OS in this cohort (median OS: 30.2 vs. 36.4 months, p = 0.27). These findings underscore the enhanced prognostic accuracy of IPSS-M in younger patients, where it identifies individuals with aggressive disease biology more precisely and avoids over-assignment to the intermediate-risk stratum. Conclusions Younger adults with MDS represent a biologically distinct subgroup, characterized by significantly fewer age-related mutations in DAT genes. In this population, the IPSS-M scoring system offers superior prognostic resolution compared to IPSS-R, particularly in distinguishing truly high-risk disease. Our results suggest that IPSS-M should be the preferred risk model for younger patients with MDS, enabling more accurate survival prediction and guiding clinical decisions such as early transplantation. Age-stratified application of molecular risk tools may enhance personalized management in adult MDS.

BloodVol. 146(Supplement 1)
Sichuan University (CN), West China Hospital of Sichuan University (CN), Mianyang Central Hospital (CN)
Openalex Percentile: Top 48%
Acute Myeloid Leukemia Research
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