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  11. Prognostic Nomograms For Patients With Nf-pan-net After Pancreatectomy: A Retrospective Analysis Based On Seer Database.

Prognostic Nomograms for Patients With NF-Pan-NET After Pancreatectomy: A Retrospective Analysis Based on SEER Database.

Yizhi Wang1,2,3,4,5,6, Yang Kong1,2,3,4,5,6, Qifan Yang1,2,3,4,5,6

  • 1Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Cancer Reports (Hoboken, N.J.)
|September 5, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

New nomograms accurately predict prognosis for patients with nonfunctional pancreatic neuroendocrine tumors (NF-Pan-NETs) after surgery. These models offer improved personalized guidance for postoperative care and surveillance compared to current staging systems.

Area of Science:

  • Oncology
  • Surgical Oncology
  • Biostatistics

Background:

  • Nonfunctional pancreatic neuroendocrine tumors (NF-Pan-NETs) are primarily treated with surgical resection.
  • Accurate postoperative prognostic evaluation for NF-Pan-NET patients is currently lacking.
  • Predictive models are needed to guide personalized treatment and surveillance strategies.

Purpose of the Study:

  • To develop and validate an efficient prognostic model for patients with NF-Pan-NETs undergoing surgical resection.
  • To create nomograms for predicting overall survival (OS) and cancer-specific survival (CSS).
  • To establish risk stratification systems based on the developed nomograms.

Main Methods:

  • Retrospective analysis of 2844 NF-Pan-NET patients from the SEER database (2010-2019).
Keywords:
SEERnomogrampancreatectomypancreatic neuroendocrine tumors

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  • Development of nomograms using six clinicopathological variables: age, grade, AJCC T, N, and M stages, and chemotherapy.
  • Validation of models for predicting OS and CSS.

    • Main Results:

    • The developed nomograms demonstrated high accuracy and discrimination in predicting prognosis for resected NF-Pan-NETs.
    • Risk subgroups based on the nomograms showed significant differences in OS and CSS.
    • The novel models outperformed the AJCC 8th TNM staging system in prognostic efficacy.

    Conclusions:

    • Novel nomograms and risk stratification systems were successfully developed for NF-Pan-NET patients post-pancreatectomy.
    • These models provide superior performance compared to traditional staging systems.
    • The findings offer clinicians more accurate, personalized guidance for postoperative management.
    prognosis