Abstract 1163P
Background
PRRT with 177Lu-Dotatate (Lutathera®) (LU) offers an effective approach in gastroenteropancreatic NETs. We know that systemic inflammatory (SI) parameters could show poorer results, however, it remains unknown in patients (p) treated with PRRT. We aim to analyze the prognostic value of SI biomarkers in NETs undergoing LU.
Methods
Retrospective and multicentric study of NETs receiving LU between 2016 and 2024. Clinical features and blood test [at baseline (BL) and after two cycles of PRRT] data were collected to determine SI markers and calculate the following ratios: neutrophil to lymphocyte (NLR), monocyte to lymphocyte (MLR), platelet to lymphocyte (PLR) and albumin to lymphocyte (ALR). The cut-off values were determined as the median of each variable, correlating them with progression-free (PFS) and overall survival (OS).
Results
44 patients (p) with NETs were included with a median age of 57 years and 54.5% males. NETs were of gastrointestinal (n=16), pancreatic (n=15), pulmonary (n=7) and unknown (n=6) origin. Tumor grade (G) was G1 (29.5%) and G2/3 (70.5%). 25p (56.8%) received ≥2 lines of treatment prior to PRRT. We observed significant poorer PFS in p with pulmonary vs pancreatic NETs (16.3m vs 27.7m; p=0.02), and a trend inhigher tumor G (23.6m vs 36.5m; p=0.26) and with ≥2 metastatic sites (23.6m vs 36.5m; p=0.58). We identified as BL values of good prognosis lower ratios of NLR, MLR, PLR and ALR. Also, BL SII (as a set of the parameters analyzed) showed a favorable trend with a score ≤2 in PFS (34.7m vs 12.8m, p=0.07) and in OS (NR vs 29.6m; p=0.09). After2 cycles of LU, SII score ≤2 significantly predicted better OS (NR vs 12.6m; p=0.02).
Table: 1163P
Prognostic value of inflammatory biomarkers in patients with neuroendocrine tumors treated with PRRT
PFS median (months) | Log-rank p-value | OS median (months) | Log-rank p-value | ||
BL NLR | ConclusionsA SII score ≤2 at baseline or at reassessment could predict better oncological outcomes, although prospective validation is required. Clinical trial identificationEditorial acknowledgementLegal entity responsible for the studyThe authors. FundingHas not received any funding. DisclosureD. Morchón Araujo: Financial Interests, Personal, Invited Speaker: Astellas Pharma, PharmaMar. R. Lozano Mejorada: Financial Interests, Personal, Invited Speaker: Janssen, Astellas, Roche, Bayer, Ipsen, AstraZeneca; Financial Interests, Personal, Advisory Board: Janssen, Merck, Pfizer, Orion Pharma, Advanced Accelerator Applications (Novartis); Financial Interests, Personal, Other, Travel/accommodation: MSD, Sanofi; Financial Interests, Personal, Other, Travel/accommodation: BMS; Non-Financial Interests, Member: Sociedad Española de Oncología Médica. All other authors have declared no conflicts of interest. Resources from the same session951P - CA19-9-related macrophage polarization has prognostic value in patients with HCC after immune checkpoint inhibitor treatmentPresenter: Meiyan Zhu Session: Poster session 17 952P - Comprehensive analysis of cytokines and PDL1 before and after administration of atezolizumab and bevasizumab in patients with HCCPresenter: Kyoji Ito Session: Poster session 17 953P - Vessels that encapsulate tumor clusters (VETC): A promising prognostic predictor for patients with hepatocellular carcinoma treated with tyrosine kinase inhibitor and immunotherapy combinationsPresenter: Yanjiang Yin Session: Poster session 17 954P - Evaluation of antigen-specific CD8 T cell responses to predict efficacy of atezolizumab and bevacizumab treatment in hepatocellular carcinomaPresenter: Angélique Vienot Session: Poster session 17 957P - Modelling immune-mediated cytotoxicity for HCC with patient-derived organoid co-culture platformPresenter: Tsz Tung Kwong Session: Poster session 17 958P - Utilizing personalized tumor-specific methylation haplotypes of circulating tumor DNA for monitoring minimal residual disease in hepatocellular carcinoma patients after curative resectionPresenter: Xinrong Yang Session: Poster session 17 959P - Machine learning-based MRI radiomics predicts overall survival of unresectable hepatocellular carcinoma undergoing transarterial chemoembolization plus PD-(L)1 inhibitors and molecular targeted therapyPresenter: Bin-Yan Zhong Session: Poster session 17 960P - Development and validation of a novel digital PCR assay targeting circulating tumor DNA methylation biomarkers for hepatocellular carcinoma screeningPresenter: Hee-Jung Wang Session: Poster session 17 This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used. For more detailed information on the cookies we use, please check our Privacy Policy.
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