Enhancing precision: A predictive model for 177 Lu- DOTATATE treatment response in neuroendocrine tumors using quantitative 68 Ga-DOTATATE PET and clinicopathological biomarkers

被引:6
作者
Akhavanallaf, Azadeh [1 ,9 ]
Joshi, Sonal [1 ]
Mohan, Arathi [2 ,3 ]
Worden, Francis P. [2 ,3 ]
Krauss, John C. [2 ,3 ]
Zaidi, Habib [5 ,6 ,7 ,8 ]
Frey, Kirk [1 ]
Suresh, Krithika [4 ]
Dewaraja, Yuni K. [1 ]
Wong, Ka Kit [1 ]
机构
[1] Univ Michigan, Dept Radiol, Ann Arbor, MI USA
[2] Univ Michigan, Dept Internal Med, Div Hematol & Oncol, Ann Arbor, MI USA
[3] Univ Michigan, Rogel Canc Ctr, Ann Arbor, MI USA
[4] Univ Michigan, Rogel Univ Michigan, Dept Biostat, Ann Arbor, MI USA
[5] Geneva Univ Hosp, Div Nucl Med & Mol Imaging, CH-1211 Geneva, Switzerland
[6] Univ Groningen, Univ Med Ctr Groningen, Dept Nucl Med & Mol Imaging, NL-9700 RB Groningen, Netherlands
[7] Univ Southern Denmark, Dept Nucl Med, DK-500 Odense, Denmark
[8] Obuda Univ, Univ Res & Innovat Ctr, Budapest, Hungary
[9] 1301 Catherine,2276 Med Sci I-5610, Ann Arbor, MI 48109 USA
基金
瑞士国家科学基金会;
关键词
SSTR-PET; images-based features; NET; PRRT; outcome prediction; RECEPTOR RADIONUCLIDE THERAPY; BONE METASTASES; SURVIVAL; LU-177-DOTATATE; EFFICACY;
D O I
10.7150/thno.98053
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Purpose: This study aims to elucidate the role of quantitative SSTR-PET metrics and clinicopathological biomarkers in the progression -free survival (PFS) and overall survival (OS) of neuroendocrine tumors (NETs) treated with peptide receptor radionuclide therapy (PRRT). Methods: A retrospective analysis including 91 NET patients (M47/F44; age 66 years, range 34-90 years) who completed four cycles of standard (177) Lu-DOTATATE was conducted. SSTR-avid tumors were segmented from pretherapy SSTR-PET images using a semiautomatic workflow with the tumors labeled based on the anatomical regions. Multiple image -based features including total and organ -specific tumor volume and SSTR density along with clinicopathological biomarkers including Ki-67, chromogranin A (CgA) and alkaline phosphatase (ALP) were analyzed with respect to the PRRT response. Results: The median OS was 39.4 months (95% CI: 33.1 -NA months), while the median PFS was 23.9 months (95% CI: 19.3-32.4 months). Total SSTR-avid tumor volume (HR = 3.6; P = 0.07) and bone tumor volume (HR = 1.5; P = 0.003) were associated with shorter OS. Also, total tumor volume (HR = 4.3; P = 0.01), liver tumor volume (HR = 1.8; P = 0.05) and bone tumor volume (HR = 1.4; P = 0.01) were associated with shorter PFS. Furthermore, the presence of large lesion volume with low SSTR uptake was correlated with worse OS (HR = 1.4; P = 0.03) and PFS (HR = 1.5; P = 0.003). Among the biomarkers, elevated baseline CgA and ALP showed a negative association with both OS (CgA: HR = 4.9; P = 0.003, ALP: HR = 52.6; P = 0.004) and PFS (CgA: HR = 4.2; P = 0.002, ALP: HR = 9.4; P = 0.06). Similarly, number of prior systemic treatments was associated with shorter OS (HR = 1.4; P = 0.003) and PFS (HR = 1.2; P = 0.05). Additionally, tumors originating from the midgut primary site demonstrated longer PFS, compared to the pancreas (HR = 1.6; P = 0.16), and those categorized as unknown primary (HR = 3.0; P = 0.002). Conclusion: Image -based features such as SSTR-avid tumor volume, bone tumor involvement, and the presence of large tumors with low SSTR expression demonstrated significant predictive value for PFS, suggesting potential clinical utility in NETs management. Moreover, elevated CgA and ALP, along with an increased number of prior systemic treatments, emerged as significant factors associated with worse PRRT outcomes.
引用
收藏
页码:3708 / 3718
页数:11
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