Integration of gene mutations in risk prognostication for watch‐and‐wait follicular lymphoma patients initiating first‐line treatment

Follicular lymphoma (FL) patients with low tumor burden at diagnosis frequently undergo the watch-and-wait (W&W) strategy. The study aimed to facilitate risk assessment in predicting the time to lymphoma treatment (TLT) for W&W patients through an integrated analysis of clinical factors and genetic mutations. A retrospective study was conducted on 214 FL patients managed with W&W between 2016 and 2023. Among them, 184 patients underwent targeted sequencing. The median follow-up was 30.4 months (IQR 21.4-41.9, range 6.4-95.8). A clinico-genetic model m3-PRIMA-PI was developed using the multivariate Cox proportional hazards method, incorporating two clinical parameters (bone marrow involvement and elevated β2-MG) and three gene mutations (<i>KMT2D</i>, <i>EP300</i>, and <i>TP53</i>). Patients were categorized into low (69.0%), intermediate (21.7%), and high (9.2%) risk groups. Probabilities of treatment initiation at one year were 11.0% (95% CI, 5.2%-16.5%), 26.0% (95% CI, 10.7%-38.7%), and 54.3% (95% CI, 22.3%-73.1%); and at 2 years were 29.4% (95% CI, 20.2%-37.5%), 49.8% (95% CI, 31.1%-63.4%), and 93.5% (95% CI, 56.7%-99.0%), respectively. The predictive performance for TLT was superior with m3-PRIMA-PI, achieving a C-index of 0.66 (95% CI, 0.63-0.69), compared to established indexes like FLIPI (C-index 0.59, 95% CI, 0.56-0.62) and FLIPI2 (C-index 0.59, 95% CI, 0.55-0.61). The above results were further validated in an independent external cohort. The m3-PRIMA-PI may provide a promising tool for risk stratification in W&W FL patients.

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Publication Details

Journal
HemaSphere
Published
2025-05-01
DOI
https://doi.org/10.1002/hem3.70141
Citations
1
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.47

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article

Integration of gene mutations in risk prognostication for watch‐and‐wait follicular lymphoma patients initiating first‐line treatment

Rongji Mu, Di Fu, Zhong Zheng, Hui‐Lai Zhang et al.
1 citations
HemaSphere
Lymphoma Diagnosis and Treatment
1.47
article

Integration of gene mutations in risk prognostication for watch‐and‐wait follicular lymphoma patients initiating first‐line treatment

Rongji Mu, Di Fu, Zhong Zheng, Hui‐Lai Zhang, Bing Xu, Weili Zhao, Xianhuo Wang, Shu Cheng, Nan Wang, Li Wang, Rong Li, Li Z, Xu Tian, Yan Zhao, Pengpeng Xu, Wei Tang, Rui Sun, R. Li
article en
1 citations

Abstract

Follicular lymphoma (FL) patients with low tumor burden at diagnosis frequently undergo the watch-and-wait (W&W) strategy. The study aimed to facilitate risk assessment in predicting the time to lymphoma treatment (TLT) for W&W patients through an integrated analysis of clinical factors and genetic mutations. A retrospective study was conducted on 214 FL patients managed with W&W between 2016 and 2023. Among them, 184 patients underwent targeted sequencing. The median follow-up was 30.4 months (IQR 21.4-41.9, range 6.4-95.8). A clinico-genetic model m3-PRIMA-PI was developed using the multivariate Cox proportional hazards method, incorporating two clinical parameters (bone marrow involvement and elevated β2-MG) and three gene mutations (<i>KMT2D</i>, <i>EP300</i>, and <i>TP53</i>). Patients were categorized into low (69.0%), intermediate (21.7%), and high (9.2%) risk groups. Probabilities of treatment initiation at one year were 11.0% (95% CI, 5.2%-16.5%), 26.0% (95% CI, 10.7%-38.7%), and 54.3% (95% CI, 22.3%-73.1%); and at 2 years were 29.4% (95% CI, 20.2%-37.5%), 49.8% (95% CI, 31.1%-63.4%), and 93.5% (95% CI, 56.7%-99.0%), respectively. The predictive performance for TLT was superior with m3-PRIMA-PI, achieving a C-index of 0.66 (95% CI, 0.63-0.69), compared to established indexes like FLIPI (C-index 0.59, 95% CI, 0.56-0.62) and FLIPI2 (C-index 0.59, 95% CI, 0.55-0.61). The above results were further validated in an independent external cohort. The m3-PRIMA-PI may provide a promising tool for risk stratification in W&W FL patients.

HemaSphereVol. 9(5)
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Tianjin Medical University Cancer Institute and Hospital (CN), First Affiliated Hospital of Xiamen University (CN), PLA Navy General Hospital (CN), Shanghai Institute of Hematology (CN)
National Natural Science Foundation of China, Shanghai Municipal Education Commission, Shanghai Jiao Tong University, Shanghai Hospital Development Center, Shanghai Clinical Research Center, School of Medicine, Shanghai Jiao Tong University
Good health and well-being
Openalex Percentile: Top 20%
Lymphoma Diagnosis and Treatment
1.47
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