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Survival Outcomes and Prognostic Factors in Follicular Lymphoma-Grade 3: A Study Based on the SEER Database.

Ruilan Zhong, Ruifu Wei, Chunyu Zhang, Xunxiu Ji, Lihua Hu, Limei Li, Zhenxin Mei

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Article in Science progress. 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ruilan ZhongDepartment of Hematology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.ORCID 0009-0005-3437-9666
Ruifu WeiDepartment of Oncology and Hematology, Dongfang People's Hospital, Dongfang, Hainan, China.
Chunyu ZhangDepartment of Hematology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Xunxiu JiDepartment of Hematology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Lihua HuDepartment of Hematology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Limei LiDepartment of Hematology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Zhenxin MeiDepartment of Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.ORCID 0009-0005-8389-9174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivesFollicular lymphoma-grade 3 is an aggressive subtype of Follicular lymphoma with a higher recurrence risk and poorer survival outcomes compared to lower-grade Follicular lymphoma. Existing prognostic models often lack accuracy due to disease heterogeneity and insufficient integration of demographic and treatment variables. This study aimed to identify independent prognostic factors and develop a nomogram for predicting OS in Follicular lymphoma-grade 3 patients using the SEER database.MethodsThis study is a retrospective cohort study. Data from 1026 Follicular lymphoma-grade 3 patients diagnosed between 2016 and 2021 were extracted from the SEER database. Patients were randomly divided into training (n = 718) and validation (n = 308) cohorts. Prognostic factors were identified using RSF, LASSO regression, and the Boruta algorithm. A multivariate Cox regression model was used to identify independent prognostic factors, which were incorporated into a nomogram. The model's performance was evaluated using ROC curves, calibration curves, and DCA.ResultsAge, radiotherapy, and liver metastasis were identified as independent prognostic factors for OS. The nomogram demonstrated strong predictive performance with AUC values exceeding 0.7 at 12, 36, and 60 months in both cohorts. Calibration curves confirmed the agreement between predicted and observed OS rates. Risk stratification using the nomogram identified significant survival differences between low-risk and high-risk groups (P < 0.05).ConclusionThis study developed a validated nomogram for Follicular lymphoma-grade 3 that integrates clinical, demographic, and treatment factors, offering superior predictive accuracy over traditional staging systems. The model provides a reliable tool for individualized prognosis assessment and treatment optimization in clinical practice.

Indexed as

Lymphoma, FollicularAdultAgedFemaleHumansMaleMiddle AgedNeoplasm GradingNomogramsPrognosisProportional Hazards ModelsRetrospective StudiesROC CurveSEER ProgramFollicular lymphoma-Grade 3machine learningnomogramoverall survivalSEERsurvival prediction

Identifiers

PMID40247602
PMCPMC12035357

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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.