Virtual Library
Start Your Search
Julien Mazieres
Author of
-
+
MA 10 - Immunotherapy I (ID 664)
- Event: WCLC 2017
- Type: Mini Oral
- Track: Immunology and Immunotherapy
- Presentations: 2
- Moderators:S. Wang, Robert Pirker
- Coordinates: 10/17/2017, 11:00 - 12:30, Room 303 + 304
-
+
MA 10.03 - 3-Year Survival and Duration of Response in Randomized Phase II Study of Atezolizumab vs Docetaxel in 2L/3L NSCLC (POPLAR) (ID 8703)
11:10 - 11:15 | Author(s): Julien Mazieres
- Abstract
- Presentation
Background:
Atezolizumab (anti–PD-L1) has demonstrated OS benefit over docetaxel in a randomized Phase II study, POPLAR, in patients with advanced NSCLC. This benefit has been confirmed in the randomized Phase III study OAK (Rittmeyer, 2017). The 3-year survival analysis of the POPLAR study presented here describes the longest survival follow-up reported to date of an all-comer randomized PD-L1/PD-1 immunotherapy trial in 2L+ NSCLC.
Method:
Patients were randomized 1:1 to receive atezolizumab (1200 mg) or docetaxel (75 mg/m[2]) IV q3w. Tumors were prospectively evaluated for tumor cell (TC) or tumor-infiltrating immune cell (IC) PD-L1 expression using the VENTANA SP142 IHC assay. Landmark OS was estimated using the Kaplan-Meier method. Data cutoff, April 7, 2017; minimum follow-up, 3 years.
Result:
The 2-year and 3-year survival with atezolizumab vs docetaxel were 32.2% vs 16.6% and 18.7% vs 10.0%, respectively. The long-term OS benefit of atezolizumab vs docetaxel was observed across histology and PD-L1 expression subgroups (Table). While the TC3 or IC3 subgroup derived the greatest OS benefit, the TC0 and IC0 subgroup also had improved long-term OS with atezolizumab vs docetaxel. The ITT ORR was 15% in both atezolizumab and docetaxel arms, but the median duration of response was 3 times longer with atezolizumab (22.3 months [95% CI: 11.6, 31.1] vs 7.2 months [95% CI: 5.8, 12.2] with docetaxel). Seven of the 11 docetaxel-arm 3-year survivors received subsequent non-protocol therapy with anti–PD-L1/PD-1 agents. Atezolizumab had a favorable safety profile compared with docetaxel that was consistent with previous reports.
Conclusion:
Atezolizumab demonstrates superior 2-year and 3-year OS benefit compared with docetaxel, and this benefit is observed across histology and PD-L1 expression subgroups (including TC0 and IC0). Atezolizumab is well tolerated, and responses are highly durable. These results are consistent with long-term OS results from OAK, presented separately.Table. Landmark OS in the ITT, PD-L1 expression, and histology subgroups in POPLAR Population (n, atezolizumab vs docetaxel) 2-year OS rate, % 3-year OS rate, % Atezolizumab Docetaxel P value[a] Atezolizumab Docetaxel P value[a] ITT (144 vs 143) 32.2% 16.6% 0.0027 18.7% 10.0% 0.0419 PD-L1 Expression Subgroups TC3 or IC3 (24 vs 23) 41.7% 19.9% 0.1003 37.5% 14.9% 0.0724 TC2/3 or IC2/3 (50 vs 55) 36.1% 13.8% 0.0082 21.2% 9.9% 0.1166 TC1/2/3 or IC1/2/3 (93 vs 102) 36.0% 19.8% 0.0124 18.0% 11.0% 0.1759 TC0 and IC0 (51 vs 41) 25.0% 6.8% 0.0202 20.5% 6.8% 0.0693 Histology Subgroups Non-squamous (95 vs 95) 32.2% 21.1% 0.0960 23.3% 12.4% 0.0585 Squamous (49 vs 48) 32.7% 7.8% 0.0020 9.4% 5.2% 0.4603 [a ]For descriptive purpose only. TC3 or IC3 = PD-L1 ≥ 50% TC or 10% IC; TC2/3 or IC2/3 = PD-L1 ≥ 5% TC or IC; TC1/2/3 or IC1/2/3 = PD-L1 ≥ 1% on TC or IC; TC0 and IC0 = PD-L1 < 1% on TC and IC. NCT01903993.
Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
-
+
MA 10.11 - Hyperprogressive Disease (HPD) Is Frequent in Non-Small Cell Lung Cancer (NSCLC) Patients (Pts) Treated with Anti PD1/PD-L1 Agents (IO) (ID 10222)
12:10 - 12:15 | Author(s): Julien Mazieres
- Abstract
- Presentation
Background:
Using Tumor Growth Rate (TGR), HPD was identified in 9% of 131 advanced cancer pts, treated with IO in a single institution (Champiat et al. 2017). In this study, we explored HPD in a large, multicenter cohort of advanced NSCLC pts treated with IO.
Method:
We performed a retrospective analysis of consecutive NSCLC pts treated with IO, in 8 institutions, between November 2012 and April 2017. Eligibility criteria required, for each patient: 2 CT scans performed before starting IO and one during IO, an interval between two CT scans ≥2 weeks or 3 months (m) and presence of target lesions. CT scans were centrally assessed according to RECIST 1.1 criteria. We calculated TGR before IO (TGR pre-IO) and during IO (TGR IO); patients were defined HPD if they had progression disease (PD) at first evaluation during IO and a ≥ 2-fold increase in the TGR IO compared to TGR pre-IO. Median overall survival (mOS) was estimated using Kaplan-Meier method for the total population and HPD pts.
Result:
Among 419 eligible pts, 86 were excluded for inadequate intervals between CT scans. Among 333 evaluable pts, 63% were male, 46% ≥65 years, 43% smokers; 12% had PS ≥ 2, 65% adenocarcinoma, 45% ≥3 metastatic sites, 22% KRAS mutation, 4% EGFR mutation, 1% ALK rearrangement; 21% had PD-L1 positive status, 10% negative, 69% unknown, >90% received single agent PD-1 inhibitor in ≥ 2 line. Response rate (RR) to IO was 18%, median follow up was 12 m [10-14]. 33% of pts had TGR IO ≥1 (not regressing tumors), 25% had TGR IO ≥ 2-fold TGR pre-IO and 54 pts (16%) had HPD. 15 pts (4%) had confirmed pseudoprogression, 3 were initially qualified as HPD. Compared to not-HPD, HPD pts had more frequently ≥ 3 metastatic sites at baseline (59% vs 43% p=0,02) and more new lung lesions during IO (34% vs 17% p=0,007). PD-L1 negative status was more common among HPD pts but the association was borderline significant (53% vs 28% p=0,05). Age, clinical, molecular characteristics, RR to treatment before IO, baseline tumor burden, liver or brain new lesions during IO were not different according to HPD status. mOS was 13 m [10-17] in the total population, 5 m [3-8] in HPD pts.
Conclusion:
HPD occurred in 16% of advanced NSCLC pts treated with IO and was associated with plurimetastatic disease and appearance of new lung lesions. Further work is needed to characterize HPD prognostic value.
Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
-
+
MA 19 - Mesothelioma: Bench to Bedside (ID 680)
- Event: WCLC 2017
- Type: Mini Oral
- Track: Mesothelioma
- Presentations: 1
- Moderators:Dean A Fennell, Hedy Lee Kindler
- Coordinates: 10/18/2017, 11:00 - 12:30, Room 315
-
+
MA 19.03 - Nintedanib + Pemetrexed/Cisplatin in Malignant Pleural Mesothelioma (MPM): Phase II Biomarker Data from the LUME‑Meso Study (ID 8111)
11:10 - 11:15 | Author(s): Julien Mazieres
- Abstract
- Presentation
Background:
Nintedanib is a triple angiokinase inhibitor. LUME-Meso (NCT01907100) is a randomised, Phase II/III study of ≤6 cycles of nintedanib+pemetrexed/cisplatin versus placebo+pemetrexed/cisplatin, followed by nintedanib or placebo maintenance, in chemo-naïve patients with MPM. In Phase II results, nintedanib+pemetrexed/cisplatin improved progression-free survival (PFS) versus control (hazard ratio [HR]=0.54; p=0.010), with a trend for prolonged overall survival (OS; HR=0.77; p=0.319). Benefit was most pronounced in patients with epithelioid tumours. Since no pharmacodynamic/predictive biomarkers are validated for anti-angiogenic therapies, exploratory analyses were conducted to investigate potential associations of plasma-derived angiogenic factors and genomic markers with treatment outcome in the LUME-Meso Phase II epithelioid population.
Method:
Blood samples were collected at baseline and, for patients receiving maintenance, at monotherapy Cycle 3 (C3mono) and end of monotherapy (EoTmono). Analyses focused on 58 angiogenic factors (Human AngiogenesisMAP[®] panel, Myriad RBM) and single-nucleotide polymorphisms (SNPs) in genes implicated in mesothelioma and/or associated with response to anti-angiogenic therapies in other tumour types (VEGFR1, VEGFR3 and mesothelin). Associations of biomarkers with treatment effect were evaluated by Cox regression and tested for interaction with false discovery rate (FDR) adjustment. Adjusted mean changes in angiogenic factor levels were compared between arms by ANCOVA. Analyses were exploratory, limited by small sample size, and considered hypothesis generating.
Result:
Of 77 patients with epithelioid tumours, angiogenic factor and genomic data were available for 71 and 67 patients, respectively. PFS/OS benefit of nintedanib appeared potentially more pronounced in patients with baseline plasma endoglin level below the median. There were possible weak associations between major homozygous genotypes for two VEGFR3 SNPs (rs307821 G/G and rs307826 A/A), and OS benefit and between VEGFR1 SNP rs9582036 A/A genotype and PFS benefit. Biomarker treatment associations were limited by small subgroup size, especially for low-frequency SNPs, and interaction tests were not significant after FDR adjustment. Regarding pharmacodynamic effects, adjusted mean change in interleukin-8 levels with nintedanib was greater from baseline to C3mono and lower from C3mono until EoTmono, compared with placebo. Nintedanib showed lower adjusted mean changes versus placebo for VEGFR2 from baseline to C3mono, and for VEGFR2 and VEGFR3 from baseline to EoTmono.
Conclusion:
These analyses represent the first biomarker results for nintedanib-treated MPM. While there seemed to be signals for greater PFS and OS improvement in patients with low plasma endoglin and major homozygous VEGFR1/3 genotypes, no biomarkers showed clear significant association with treatment benefit. These findings warrant further evaluation in the Phase III study.
Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
-
+
OA 03 - Mediastinal and Esophageal Tumor: Insight and New Treatment (ID 654)
- Event: WCLC 2017
- Type: Oral
- Track: Thymic Malignancies/Esophageal Cancer/Other Thoracic Malignancies
- Presentations: 1
- Moderators:M. Chida, Jhingook Kim
- Coordinates: 10/16/2017, 11:00 - 12:30, Room 311 + 312
-
+
OA 03.01 - Prevalence of Autoimmune Diseases in Thymic Epithelial Tumors (TET) Insights from RYTHMIC (ID 8745)
11:00 - 11:10 | Author(s): Julien Mazieres
- Abstract
- Presentation
Background:
TET have been associated with autoimmune disorders (AID) in up to 30 % of patients. However, there have been wide variations in the reported prevalence of TET associated disorders based mostly on small single center series. RYTHMIC (Réseau tumeurs THYMiques et Cancer) is a French network mandated to systematically discuss every case of TET. Using our database, we aimed to describe the prevalence of AID in a large French population with TET.
Method:
RYTHMIC database prospectively includes all consecutive patients with a diagnosis of TET discussed in our national tumor board. We calculated the prevalence and described epidemiologic, clinical and pathological characteristics of patients with TET’s related autoimmune diseases.
Result:
From January 2012 to May 2017, 1693 patients were included in the registry. Of these, 200 patients (11.8%) had autoimmune disorder. The mean age at diagnosis of TET was 54 years old and 52% were male. 149 had myasthenia gravis (75.3%), 15 Good syndrome (7.6%), 14 pure red cell aplasia (7.1%), 12 systemic erythematous lupus (6.1%) and 12 thyroiditis (6.1%). Some patients (14.5%) eventually developed more than 1 AID. Diagnosis of AID was mostly done at the same time of TET diagnosis (54.6%) but some patient had their AID diagnosed before (19.8%) or during follow up (13.4%). Masaoka Koga stages were overall well balanced with 16.5% stage III, 16% stage IIb, 13.5% stage I, 13% stage IIa and IV. Histologic subtype distribution was in order of frequency; B2 (37%), AB (14.5%), B3 (14%), B1 (10.5%), thymic carcinoma (4.5 %) and A (4%).
Conclusion:
In our registry of TET, the prevalence of autoimmune diseases was 11.8% and most diagnosis were established at the same time as TET. The extent of disease, measured by Masaoka Koga staging, does not seem correlated.
Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
-
+
OA 12 - Emerging Genomic Targets (ID 679)
- Event: WCLC 2017
- Type: Oral
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:H. Akita, Maurice Pérol
- Coordinates: 10/18/2017, 11:00 - 12:30, F203 + F204 (Annex Hall)
-
+
OA 12.09 - Discussant - OA 12.05, OA 12.06, OA 12.07, OA 12.08 (ID 10800)
12:20 - 12:30 | Presenting Author(s): Julien Mazieres
- Abstract
- Presentation
Abstract not provided
Only Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login, select "Add to Cart" and proceed to checkout. If you would like to become a member of IASLC, please click here.
-
+
P1.01 - Advanced NSCLC (ID 757)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 10/16/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
-
+
P1.01-013 - Patient-Reported Outcomes and Safety from the Phase III ALUR Study of Alectinib vs Chemotherapy in Pre-Treated ALK+ NSCLC (ID 9007)
09:30 - 09:30 | Presenting Author(s): Julien Mazieres
- Abstract
Background:
Alectinib demonstrated superior efficacy versus chemotherapy in ALK+ NSCLC after crizotinib failure (ALUR; NCT02604342). We present PROs and safety in the ITT population and in patients with baseline CNS disease (C-ITT).
Method:
Patients (n=107) with pre-treated ALK+ NSCLC (randomised 2:1) received alectinib (600mg BID) or chemotherapy (pemetrexed 500mg/m[2] or docetaxel 75mg/m[2] q3w) until PD/death/withdrawal. Primary endpoint: investigator-assessed PFS. Secondary endpoints: safety and PROs. Symptoms, functioning, and HRQoL were reported using questionnaires: EORTC QLQ-C30; lung module QLQ-LC13; BN-20 (3 items, CNS symptoms). Pre-specified endpoints included time-to-deterioration (TTD) in lung cancer symptoms, longitudinal analyses of mean score changes from baseline, proportion of patients with clinically meaningful change (≥10-point change from baseline) during treatment.
Result:
High compliance with assessment completion (alectinib 91.7%, chemotherapy 88.6% at baseline); compliance remained ≥70% with alectinib, and decreased with chemotherapy (64.3%, Week 6; ≤70% thereafter). Deterioration of patient-reported fatigue (median TTD 2.7 vs 1.4 months) and arm/shoulder pain (median TTD 8.1 vs 1.9 months) was delayed with alectinib versus chemotherapy. Median TTD in composite symptom endpoint (cough, dyspnoea, chest-pain) was similar between arms. Alectinib patients reported improvement in lung cancer symptoms from baseline (least square [LS] mean) during treatment: fatigue (-6.2), single-item dyspnoea (-6.0), multi-item dyspnoea scale (-2.3), coughing (-4.9), chest pain (-4.2), pain in other parts (-5.3). More patients reported improvement in baseline symptoms (nausea/vomiting, diarrhoea, peripheral neuropathy) with alectinib versus chemotherapy, except constipation. More alectinib patients reported improvements in cognitive function versus chemotherapy (ITT 19% vs 3%; C-ITT 24% vs 4%); average change from baseline in cognitive function favoured alectinib (LS means difference 10.0, 95% CI 2.2–17.7). Median treatment duration: 20.1 weeks alectinib (95% CI 0.4–8.2), 6 weeks chemotherapy (95% CI 1.9–47.1). For alectinib versus chemotherapy: AEs leading to discontinuation, 5.7% vs 8.8%; dose reductions, 4.3% vs 11.8%; dose interruptions due to AEs, 18.3% vs 8.8%. AEs: 77.1% alectinib (grade 3–5, 27.1%); 85.3% chemotherapy (grade 3–5, 41.2%); one fatal AE (chemotherapy); grade ≥3 AEs: 41.2% chemotherapy versus 27.1% alectinib. TEAEs occurring in ≥10% patients: constipation (alectinib 18.6%, all grade 1–2; chemotherapy 8.8% [grade ≥3 2.9%]), nausea (alectinib 1.4%, all grade 1–2; chemotherapy 17.6% [grade ≥3 2.9%]) and fatigue (alectinib 5.7%, all grade 1–2; chemotherapy 26.5% [grade ≥3 8.8%]).
Conclusion:
Alectinib improved HRQoL, functioning, and symptom burden versus chemotherapy (except constipation). Safety of alectinib compared favourably to chemotherapy. Alectinib patients (ITT and C-ITT populations) derived benefit versus chemotherapy.
-
+
P1.07 - Immunology and Immunotherapy (ID 693)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Immunology and Immunotherapy
- Presentations: 1
- Moderators:
- Coordinates: 10/16/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
-
+
P1.07-009 - PD-L1 Expression in Circulating Tumor Cells and Response to PD-1 Inhibitor Treatment in Non-Small Cell Lung Cancer Patients (ID 8494)
09:30 - 09:30 | Author(s): Julien Mazieres
- Abstract
Background:
Inhibitors of the immune checkpoint PD-1/PD-L1 (ICI) have become a standard of care in non-small cell lung cancer (NSCLC). The outcomes, although very promising, remain inconstant. Patient selection, currently based on PD-L1 expression in tumor tissue, must be improved, through more dynamic and non-invasive tests. PD-L1 staining of circulating tumor cells (CTCs) could represent such a valuable predictive biomarker.
Method:
Blood samples were prospectively collected from patients with advanced NSCLC before their first infusion of nivolumab. Ten ml of blood were collected and CTCs were isolated on cell size-based technology (ISET, Rarecells). PD-L1 expression was assessed by immunofluroescence (IF) on CTCs and immunochemistry (IHC).
Result:
60 advanced NSCLC patients were included. 45 tissue biopsies were available for PD-L1 expression analysis of: 31.4 (68.9%) and 9 (20%) of biopsies were positive, respectively, using a 5% and a 50% cut-off for tumor cell PD-L1 expression. 56 ISET filters were analyzed. The number of PD-L1(+) CTCs ranged from 1.5 to 47.5 per 7.5mL of blood (median 8.5, 12.5% of CTCs). No correlation between tissue and CTC staining of PD-L1 was observed. A optimal cutoff of 30/7.5mL number of CTCs was determined. Patients with elevated CTCs (>30/7.5mL) experienced a decrease of overall and progression-free survival (p=0.04 and p<0.0001 respectively). PD-L1 expression on CTCs at baseline was not predictive of outcome in the global population but significantly increased in “non-responders” group (PFS <6 months) in comparison with the “responder” group (PFS>6 months) (p=0.02).Figure 1
Conclusion:
We demonstrated the feasibility of PD-L1 detection in CTCs in patients with advanced NSCLC. In our cohort, PD-L1(+) CTCs are associated with a worse outcome. This can be partly explained by the pejorative impact of the number of CTCs that may outweigh its possible predictive value. The interest of PD-L1 assessment on CTC will be likely reinforced by integrating other biomarkers.
-
+
P2.07 - Immunology and Immunotherapy (ID 708)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Immunology and Immunotherapy
- Presentations: 1
- Moderators:
- Coordinates: 10/17/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
-
+
P2.07-060 - Response Assessment and Subgroups Analysis According to the Lung Immune Prognostic Index (LIPI) for Immunotherapy in Advanced NSCLC Patients (ID 10179)
09:30 - 09:30 | Author(s): Julien Mazieres
- Abstract
Background:
LIPI is a score that combine dNLR (neutrophils/(leucocytes-neutrophils) and lactate dehydrogenase (LDH) and correlate with prognosis of NSCLC patients treated with immune checkpoint inhibitors (ICI). We report the predictive role of LIPI on response and in various subgroups of patients.
Method:
Baseline dNLR and LDH were retrospectively collected in 431 patients treated with ICI from Nov. 2012 to Jan. 2017, from 8 European centers. LIPI delineates 3 groups: good (dNLR<3+LDH3 or LDH>ULN), poor (dNLR>3+LDH>ULN). Response rate (RR) and disease control rate (DCR) were assessed according to the investigator’s criteria. The subgroup analysis was performed according to the age, histology, performance status (PS) and PD-L1 status by immunohistochemistry (positivity if ≥ 1% on tumor cells).
Result:
With a median follow-up of 12.8 months (m.) [95%CI 11.9-14], 431 patients were included. Baseline characteristics are summarized in table 1. The median overall survival (OS) and progression-free survival (PFS) were 10.5m. [95%CI 9.5-13] and 3.9m. [3-4.4], respectively. The median OS was 4.8m. vs. 10 m. vs. 16.5m., and median PFS was 2m. vs. 3.1m. vs. 5m. for the poor, intermediate and good LIPI groups, respectively (both p<0.0001). LIPI was correlated with response rate (p<0.0001). In multivariate analysis, the intermediate and poor group were associated with progressive disease, with an OR of 2.20 [CI95% 1.26-3.84] p=0.005) and an OR of 3.04 [CI95% 1.46-6.36] p=0.003), respectively. LIPI was correlated with OS, regardless the age (<70 years (p<0.0001) vs. older (p=0.0006) and the histology non-squamous (p<0.0001) vs. squamous (p=0.02). In PS 0-1 and in smoker population, LIPI correlated with OS (both p<0.0001), but not in PS ≥2 (12%) and non-smokers (8%). LIPI was correlated with OS for positivity (p=0.01) and unknown PD-L1 (p=0.0001), but not negativity.LIPI 0 Good (N=162, 37%) LIPI 1 Intermediate (N=206, 48%) LIPI 2 Poor (N= 63, 15%) All population cohort N = 431 (%) Sex Male 102 (63) 131 (64) 42 (67) 275 (64) Age at diagnosis Median (years, range) 62 (36;86) 63 (29;86) 62 (39;84) 62 (29;86) Smoking status Non-smoker 13 (8) 18 (9) 5 (8) 36 (8) Former 80 (49) 115 (56) 46 (73) 241 (56) Current 67 (42) 69 (33) 11 (17) 147 (34) Unknown 2 4 1 7 Histology Non-squamous 111 (69) 132 (64) 41 (65) 284 (66) Squamous 51 (31) 74 (36) 22 (35) 147 (34) Molecular alteration EGFR mutation 3 (2) 13 (6) 3 (5) 19 (4) ALK rearrangement 2 (1) 2 (1) 1 (2) 5 (1) KRAS mutation 34 (21) 31 (15) 8 (13) 73 (17) PDL1 status Negative 16 (36) 14 (25) 1 (5) 31 (25) Positive 28 (64) 43 (75) 20 (95) 91 (75) Unknown 118 149 42 337 Performance Status 0 51 (32) 45 (22) 10 (16) 106 (25) 1 96 (60) 132 (64) 42 (67) 270 (63) ≥ 2 12 (8) 28 (14) 11 (17) 51 (12) Stage at diagnosis IIIb 18 (11) 33 (16) 14 (22) 65 (15) IV 101 (62) 135 (66) 38 (60) 274 (64) Metastases sites Median (Range) 2 (0;6) 2 (0;7) 2 (1;7) 2 (0-7) Bone 43 (27) 58 (28) 20 (32) 121 (28) Liver 28 (17) 39 (19) 16 (25) 83 (19) Brain 22 (14) 19 (9) 9 (14) 50 (12) Immunotherapy PD1 inhibitor 133 (82) 167 (81) 48 (76) 348 (81) PDL1 inhibitor 19 (12) 34 (17) 12 (19) 65 (15) PDL1 inhibitor- CTLA4 inhibitor 10 (6) 5 (2) 3 (5) 18 (4) Immunotherapy line Median (Range) 2 (1;11) 2 (1;12) 2 (1;8) 2 (1-12) Response rate Complete response (CR) 6 (4) 3 (1) 0 (0) 8 (2) Partial response (PR) 42 (26) 53 (26) 18 (28) 113 (26) Stable disease (SD) 66 (41) 59 (29) 8 (13) 133 (31) Progression 40 (25) 81 (39) 33 (52) 154 (36) NA 8 10 4 25 Dissociated response 14 (9) 15 (7) 2 (3) 31 (7)
Conclusion:
Baseline LIPI predicts response to ICI, and was correlated with OS regardless of age and histology.
