Abstract 4139
Background
Selecting which pts may benefit from ieCTs is challenging. Few prognostic indexes have been proposed so far and none qualifying as a predictor of response. The Gustave Roussy Immune Score (GRImS) identifies two prognostic categories based on three objective variables (albumin<3.5 g/dL=1; LDH>ULN=1; NLR>6=1).
Methods
We retrospectively reviewed data of all pts enrolled into ieCTs at the Humanitas Cancer Center Phase I Unit between 2014 and 2019. A large series of demographic and clinical variables were correlated with overall survival (OS) and objective response rate (ORR) through univariate and multivariate analysis (UVA; MVA). Laboratory parameters were calculated either as baseline values and as dynamic six-weeks (6wks) changes. Finally, we explored the performance of the GRImS in our cohort.
Results
A total of 111 pts (M/F:63/48; median age: 62) with advanced solid tumors treated into ieCTs have been selected. The most frequent histologies were hepatocellular carcinoma (34%), lung carcinoma (22%), glioblastomas (13%). With a median follow-up (FU) of 14.3 months (mos), the OS was 12.9 mos, and the ORR 12.6%. In the UVA ECOG PS < 1 (HR = 0.53; IC 0.30-0.94; p = 0.030) and higher baseline value of albumin (HR = 0.40; IC 0.21-0.77; p = 0.006) were significantly associated with a better OS, while baseline total protein level (OR = 1.47; IC 1.24 - 2.10; p = 0.030), and increase in lymphocytes count at 6wks (OR = 1.02; IC 1.00-1.04; p = 0.029) were predictive of response. In the MVA only higher baseline value of albumin seems to confirm its independent prognostic value (HR = 0.48; IC 0.23-1.01; p = 0.054), as well as baseline total protein level its predictive role (OR = 1.52; IC 1-2.33; p = 0.052). The GRImS resulted prognostic, with pts at low-risk (≤1) having a significant better OS compared to pts with a high-risk score (>1) (14.3 mos vs 7.3 mos; p = 0.029), but not predictive.
Conclusions
We assessed the prognostic accuracy of GRImS in our ieCTs cohort. With limitations due to small sample size, short FU and few events recorded we identified additional static and dynamic variables with a potential prognostic and predictive relevance to be further explored in larger series and to be eventually included in new scores.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
M. Simonelli: Advisory / Consultancy: AbbVie. A. Santoro: Advisory / Consultancy: Bristol-Myers-Squibb; Advisory / Consultancy: Servier; Advisory / Consultancy: Gilead; Advisory / Consultancy: Pfizer; Advisory / Consultancy: Eisai; Advisory / Consultancy: Bayer; Advisory / Consultancy: Merck Sharp & Dohme; Speaker Bureau / Expert testimony: Takeda; Speaker Bureau / Expert testimony: Bristol-Myers-Squibb; Speaker Bureau / Expert testimony: Roche; Speaker Bureau / Expert Testimony: Abbvie; Speaker Bureau / Expert testimony: Amgen; Speaker Bureau / Expert testimony: Celgene; Speaker Bureau / Expert testimony: Servier; Speaker Bureau / Expert testimony: Gilead; Speaker Bureau / Expert testimony: AstraZeneca; Speaker Bureau / Expert testimony: Pfizer; Speaker Bureau / Expert testimony: Arqule; Speaker Bureau / Expert testimony: Lilly; Speaker Bureau / Expert testimony: SANDOZ. All other authors have declared no conflicts of interest.
Resources from the same session
5444 - Analysis of the tumor microenvironment and tumor genotype through different stages of lung adenocarcinoma
Presenter: Peter Zink
Session: Poster Display session 1
Resources:
Abstract
3124 - Does Progress achieved in the Treatment of Patients with Metastatic Non-Small-Cell Lung Cancer (NSCLC) reach the Elderly Population?
Presenter: Jorune Suipyte
Session: Poster Display session 1
Resources:
Abstract
5142 - Prognostic factors for non-small cell lung cancer patients with driver mutation negative and brain metastases (HOT 1701)
Presenter: Yoshihito Ohhara
Session: Poster Display session 1
Resources:
Abstract
1580 - A novel risk classification system based on nomogram scores to predict survival of patients presenting with brain metastases at the first diagnosis of NSCLC
Presenter: Pengfei Cui
Session: Poster Display session 1
Resources:
Abstract
4442 - Comparison of real-world response rate (rwRR) to RECIST-based response rate in patients with advanced non-small cell lung cancer (aNSCLC)
Presenter: Xinran Ma
Session: Poster Display session 1
Resources:
Abstract
5405 - Estimating the cost and survival impact of new aNSCLC therapies in Canada with the iTEN model
Presenter: Parneet Kaur Cheema
Session: Poster Display session 1
Resources:
Abstract
1893 - SMARCA4 Deficient Non-Small Cell Lung Cancer (NSCLC): A Comprehensive Genomic Profiling (CGP) Study
Presenter: Stephen Graziano
Session: Poster Display session 1
Resources:
Abstract
5582 - Exploring Resistance to Nivolumab [NIV] applying an Immune Genomic Signature (IGS) in advanced pretreated NSCLC [PRINCiPe study]
Presenter: Sara Pilotto
Session: Poster Display session 1
Resources:
Abstract
1408 - DNA damage repair deficiency is associated with early resistance to crizotinib: whole-genome analysis in non-small cell lung cancer patients with ALK-fusion
Presenter: Dongyun He
Session: Poster Display session 1
Resources:
Abstract
5751 - Phase 3 ALTA-3 study of brigatinib (BRG) vs alectinib (ALC) in patients (pts) with advanced anaplastic lymphoma kinase (ALK)−positive non–small cell lung cancer (NSCLC) that progressed on crizotinib (CRZ)
Presenter: Sanjay Popat
Session: Poster Display session 1
Resources:
Abstract