Updated multicenter retrospective analysis of systemic treatments in well-differentiated grade 3 (G3) gastroenteropancreatic neuroendocrine tumors (GEP-NETs).

A Angelo Pirozzi (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) C Celine Hoyek (Division of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ) F Fares Jamal (Mayo Clinic Arizona, Scottsdale, Arizona, United States) C Caden Collins (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) E Edwar Kounsselie (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) A Abdullah Alsulaiman (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) A Amal Youssef (Mayo Clinic Arizona, Scottsdale, Arizona, United States) D Daniel H. Ahn (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) T Tanios S. Bekaii-Saab T Timothy J. Hobday (Department of Oncology, Mayo Clinic Rochester, Rochester, MN) J Jason S. Starr (Division of Hematology and Oncology, Mayo Clinic Florida, Jacksonville, FL) T Thorvardur Ragnar Halfdanarson (Department of Oncology, Mayo Clinic Rochester, Rochester, MN) P Patrick Walsh McGarrah (Department of Oncology, Mayo Clinic Rochester, Rochester, MN) M Mohamad Bassam Sonbol

Abstract

619 Background: Well-differentiated G3 GEP-NETs are rare and heterogeneous diseases, limiting phase III trials and definition of clear standards of care. Building upon our preliminary cohort of 76 patients (pts), we present an updated and expanded retrospective analysis across three Mayo Clinic tertiary centers. Methods: We included pts with histologically confirmed well-differentiated G3 GEP-NETs diagnosed since 2017 (new WHO classification) from the three Mayo Clinic sites (Rochester, Phoenix, Jacksonville). Endpoints were ORR, DCR, PFS, and OS across treatment lines. PFS/OS were estimated by Kaplan-Meier. OS was defined from treatment start. Multivariate Cox regression was used to evaluate the association of clinic-pathologic features (age, sex, tumor functionality, Ki-67, primary tumor site, stage at diagnosis, presence of liver metastasis, number of metastatic sites at diagnosis) with OS (p<0.05). Results: 111 pts (median age 62 y, range 22–83). Primary sites were pancreas (58%), small bowel (19%), unknown (9%), and rectum (5%). Most tumors were G3 at diagnosis (88%); the remainder evolved from prior G1/G2. Ki-67 was 20–55% in 83% of cases. Most were nonfunctional (70%); functional subtypes included carcinoid (13%) and gastrinoma (8%). Median plasma 5-HIAA was 38.5 ng/ml (5–1394). Advanced disease was present in 85%. Common metastatic sites included liver (85%), lymph nodes (32%), bone (26%), peritoneum (10%), and lung (9%). Median number of metastatic sites was 1 (range 0–5). Median number of systemic treatment lines was 2 (range 0–8). The most frequent regimens and outcomes are shown in the Table. Insulin-secreting tumors (HR 2.16, 95% CI 1.33–25.73, p=0.019) and ≥2 metastatic sites (HR 2.13, 95% CI 1.05–4.31, p=0.035) were associated with inferior OS. Conclusions: This represents one of the largest real-world datasets of well-differentiated G3 GEP-NETs and provides a deeper evaluation of treatment strategies and prognostic factors. CAPTEM, SSAs, and PRRT with Lu-177 emerged as the most commonly used therapies, with PRRT showing the most favorable outcomes. Insulin secretion and higher metastatic burden were confirmed as adverse prognostic factors. CAPTEM SSAs PRRT Lu-177 Carboplatin plus etoposide FOLFOX Everolimus Sunitinib N of pts (%) 64 (58) 44 (40) 37 (33) 24 (19) 18 (13) 11 (10) 8 (7) Line of therapy (%)  First 36 (56.3) 27 (61.4) 5 (13.5) 13 (59.2) 5 (7.2) 1 (9.0) 1 (12.5)  Second 15 (23.4) 13 (29.5) 13 (35.2) 3 (13.6) 5 (35.7) 3 (27.3) 2 (37.5)  Third or higher 13 (20.3) 4 (9.1) 19 (51.3) 6 (27.2) 8 (57.1) 7 (63.7) 5 (62.5) DCR (%) 60.9 56.8 75.0 52.2 71.4 45.5 37.5 ORR (%) 34.4 13.6 44.4 30.4 35.7 18.2 12.5 mPFS (95% CI) 8.0 (5.3-10.6) 6.2 (2.8-9.5) 11.2 (9.1-13.3) 7.3 (2.8-11.8) 4.4 (2.4-6.4) 3.9 (2.2-5.6) 3.9 (1.54-6.26) mOS (95% CI) 40.1 (23.0-57.2) 50 (22.6-77.4) 76.1 (16.3-135.8) 33.0 (21.0-45.0) 21.1 (15.0-27.2) NE NE

Article Details

Volume / Issue Vol. 44, Issue 2_suppl
Published January 10, 2026
Pages 619-619
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (14)

A

Angelo Pirozzi

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

C

Celine Hoyek

Division of Internal Medicine, Mayo Clinic Arizona, Phoenix, AZ

F

Fares Jamal

Mayo Clinic Arizona, Scottsdale, Arizona, United States

C

Caden Collins

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

E

Edwar Kounsselie

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

A

Abdullah Alsulaiman

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

A

Amal Youssef

Mayo Clinic Arizona, Scottsdale, Arizona, United States

D

Daniel H. Ahn

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

T

Tanios S. Bekaii-Saab

T

Timothy J. Hobday

Department of Oncology, Mayo Clinic Rochester, Rochester, MN

J

Jason S. Starr

Division of Hematology and Oncology, Mayo Clinic Florida, Jacksonville, FL

T

Thorvardur Ragnar Halfdanarson

Department of Oncology, Mayo Clinic Rochester, Rochester, MN

P

Patrick Walsh McGarrah

Department of Oncology, Mayo Clinic Rochester, Rochester, MN

M

Mohamad Bassam Sonbol