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Introduction: The LIPI, based on pretreatment derived neutrophils/[leukocytes-neutrophils] ratio (dNLR) and LDH, is associated with immune checkpoint inhibitors (ICI) outcomes in advanced non-small-cell lung cancer (NSCLC). We aimed to assess baseline LIPI correlation with durvalumab consolidation outcomes in the locally advanced setting., Material and Methods: Multicentre retrospective study (330 patients) with stage III unresectable NSCLC treated with durvalumab after chemo-radiotherapy between April 2015 and December 2020; 65 patients treated with chemo-radiotherapy only. Baseline LIPI characterized 3 groups: good (dNLR≤3+LDH≤ULN), intermediate (dNLR>3/LDH>ULN) and poor (dNLR>3+LDH>ULN). Primary endpoint was overall survival (OS)., Results: In the durvalumab cohort, median age was 67 years, 95% smokers, 98% with a performance status of 0-1; 60% had nonsquamous histology and 16% a PD-L1 expression <1%. Radiotherapy was delivered concurrently in 81%. LIPI was evaluable in 216 patients: 66% good, 31% intermediate, 3% poor. LIPI significantly correlated with median OS (median follow-up: 19 months): 18.1 months vs. 47.0 months vs. not reached in poor, intermediate and good LIPI groups, respectively (P = .03). A trend between objective response rate and LIPI groups was observed: 0% vs. 41% vs. 45%, respectively (P = .05). The pooled intermediate/poor LIPI group was associated with shorter OS (HR 1.97; P = .03) and higher risk of progressive disease (OR 2.68; P = .047). Survivals and response were not influenced in the control cohort., Conclusion: Baseline LIPI correlated with outcomes in patients with locally advanced NSCLC treated with durvalumab consolidation, but not in those who only received chemo-radiotherapy, providing further evidence of its prognostic and potential predictive role of ICI benefit in NSCLC., Competing Interests: Disclosure VAA: Lectures and educational activities: Bristol-Myers Squibb, AstraZeneca, MSD; Travel, Accommodations, Expenses: Takeda, Sanofi, Janssen; RL: Personal fees: AstraZeneca, Bristol-Myers Squibb. Travel, Accommodations: Roche, Italfarmaco; RLC: Consulting, advisory role or lectures: Amgen, Bristol-Myers Squibb, Pierre-Fabre, Boehringer Ingelheim, Novartis, Roche. Honoraria: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Pierre-Fabre, MSD, Novartis, Pfizer, Roche, Takeda. Clinical trials research: AstraZeneca, Roche. Travel, Accommodations, Expenses: Roche, Novartis, Takeda, Boehringer Ingelheim; JBB: Reports grants and personal fees from Roche and Pfizer, and personal fees from MSD, BMS, AstraZeneca, Boehringer-Ingelheim, Sanofi, and Novartis, outside the submitted work; SP: Consulting, advisory role or lectures: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Merck, Novartis, Roche, Amgen, Takeda (outside the submitted manuscript); MT: Travel, accommodation, expenses: Roche, Bristol-Myers Squibb, AstraZeneca, Takeda, Eli Lilly. Honoraria as medical writer: Novartis, Amgen, MSD. None related to the current manuscript; MS: Speaker, Advisory Role: Amgen, AstraZeneca, BMS, Boehringer Ingelheim, Janssen, Lilly, Novartis, Pfizer, Roche, Sanofi Avemtis, Siemens Healthineers, Takeda; Research support (institutional): Amgen, BMS, Dracen Pharmaceuticals, Janssen, Novartis, Pfizer, Siemens Healthiness; EN: has participated in lectures and advisory boards from Roche, Bristol Myers Squibb, Merck Sharp & Dohme, Merck Serono, Pfizer, Lilly, Amgen, Boehringer Ingelheim, AstraZeneca, Takeda, Sanofi and Bayer. E. N. has received research funding support from Pfizer, Roche, Merck Serono, Bristol Myers Squibb and Nanostring; GL: Honorary from Boehringer Ingelheim, Blueprint Medicines, AstraZeneca, Merck, Janssen; Consulting and advisory role from Pfizer and AstraZeneca; Research funding from AstraZeneca, Lucence, Xilis, Merck Sharp and Dohme, EMD Serono, Blueprint Medicines, Tesaro, Vavarian Nordic, Novartis, G1 Therapeutics. AdaptImmune, BMS, GSK, Abbvie, Rgenix, Pfizer, Roche, Genentech, Lilly, Janssen; travel, accommodations and expenses from Boehringer Ingelheim, Pfizer, Squibb Sons, Janssen, Seattle Genetics, Celgene, Ibsen, Pharmacyclocs, Merck, AstraZeneca, Seagen; DS: Consulting, advisory role: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Merck Sharp & Dohme, Sanofi. Honoraria: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Roche, Merck Sharp & Dohme. Principal Investigator in clinical trial sponsored by Bristol-Myers Squibb, Merck Sharp & Dohme, Eli Lilly. Travel, Accommodations: AstraZeneca, Roche, Bristol-Myers Squibb, Merck Sharp & Dohme, Pfizer; RGC: Consulting, advisory role or lectures from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Takeda, Janseen, MSD, Roche, Pfizer, Eli Lilly, Amgen, Sanofi; honoraria (self) from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Pfizer, Roche, MSD, Takeda, Eli Lilly, Novartis; clinical trials research from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Merck, Novartis, Pfizer, Roche, Medimmun, Sanofi-Aventis; VB: Consulting, advisory role: AstraZeneca, Bristol-Myers Squibb, MSD, Merck, Novartis, Pfizer, Roche. Clinical trials research: AstraZeneca, MSD, Roche; MC: Advisory or Consultancy role: AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, EUSA Pharma, Lilly, Roche. Honoraria, lectures: Abbot, AstraZeneca, Bristol-Myers Squibb, EUSA Pharma, Ipsen, Merck, Sharp & Dohme, Novartis, Pfizer, Pierre Fabre, Roche, Takeda. Travel expenses: Ipsen, Lilly, Merck, Pfizer, Pierre Fabre. Institutional financial interests: Astra Zeneca, Merck, Pfizer, Roche; BB: Sponsored Research at Gustave Roussy Cancer Center, Abbvie, Amgen, AstraZeneca, Biogen, Blueprint Medicines, BMS, Celgene, Eli Lilly, GSK, Ignyta, IPSEN, Merck KGaA, MSD, Nektar, Onxeo, Pfizer, Pharma Mar, Sanofi, Spectrum Pharmaceuticals, Takeda, Tiziana Pharma; DP: Consulting, advisory role or lectures: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Daiichi Sankyo, Eli Lilly, Merck, Novartis, Pfizer, prIME Oncology, Peer CME, Roche. Honoraria: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Merck, Novartis, Pfizer, prIME Oncology, Peer CME, Roche. Clinical trials research: AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Merck, Novartis, Pfizer, Roche, Medimmun, Sanofi-Aventis, Taiho Pharma, Novocure, Daiichi Sankyo. Travel, Accommodations, Expenses: AstraZeneca, Roche, Novartis, prIME Oncology, Pfizer; LM: Research grant/Funding (self): Bristol Myers Squibb, Boehringer Ingelheim, Amgen, Stilla, Inivata; Advisory/Consultancy: Roche Diagnostics, Takeda; Honoraria (self): Bristol Myers Squibb, Tecnofarma, Roche; Travel/Accommodation/Expenses: Roche, Boehringer Ingelheim, Takeda, AstraZeneca. The remaining authors declare no conflict of interest., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Purpose: Compared with people living without HIV (PWOH), people living with HIV (PWH) and cancer have traditionally been excluded from immune checkpoint inhibitor (ICI) trials. Furthermore, there is a paucity of real-world data on the use of ICIs in PWH and cancer., Methods: This retrospective study included PWH treated with anti-PD-1- or anti-PD-L1-based therapies for advanced cancers. Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS). Objective response rates (ORRs) were measured per RECIST 1.1 or other tumor-specific criteria, whenever feasible. Restricted mean survival time (RMST) was used to compare OS and PFS between matched PWH and PWOH with metastatic NSCLC (mNSCLC)., Results: Among 390 PWH, median age was 58 years, 85% (n = 331) were males, 36% (n = 138) were Black; 70% (n = 274) received anti-PD-1/anti-PD-L1 monotherapy. Most common cancers were NSCLC (28%, n = 111), hepatocellular carcinoma ([HCC]; 11%, n = 44), and head and neck squamous cell carcinoma (HNSCC; 10%, n = 39). Seventy percent (152/216) had CD4+ T cell counts ≥200 cells/µL, and 94% (179/190) had HIV viral load <400 copies/mL. Twenty percent (79/390) had any grade immune-related adverse events (irAEs) and 7.7% (30/390) had grade ≥3 irAEs. ORRs were 69% (nonmelanoma skin cancer), 31% (NSCLC), 16% (HCC), and 11% (HNSCC). In the matched mNSCLC cohort (61 PWH v 110 PWOH), 20% (12/61) PWH and 22% (24/110) PWOH had irAEs. Adjusted 42-month RMST difference was -0.06 months (95% CI, -5.49 to 5.37; P = .98) for PFS and 2.23 months (95% CI, -4.02 to 8.48; P = .48) for OS., Conclusion: Among PWH, ICIs demonstrated differential activity across cancer types with no excess toxicity. Safety and activity of ICIs were similar between matched cohorts of PWH and PWOH with mNSCLC.

The tumor microenvironment (TME) is composed of a plethora of different cell types, such as cytotoxic immune cells and immunomodulatory cells. Depending on its composition and the interactions between cancer cells and peri-tumoral cells, the TME may affect cancer progression. The characterization of tumors and their complex microenvironment could improve the understanding of cancer diseases and may help scientists and clinicians to discover new biomarkers. We recently developed several multiplex immunofluorescence (mIF) panels based on tyramide signal amplification (TSA) for the characterization of the TME in colorectal cancer, head and neck squamous cell carcinoma, melanoma, and lung cancer. Once the staining and scanning of the corresponding panels are completed, the samples are analyzed on an image analysis software. The spatial position and the staining of each cell are then exported from this quantification software into R. We developed R scripts that allow us not only to analyze the density of each cell type in several tumor compartments (e.g. the center of the tumor, the margin of the tumor, and the stroma) but also to perform distance-based analyses between different cell types. This particular workflow adds a spatial dimension to the classical density analysis already routinely performed for several markers. mIF analysis could allow scientists to have a better understanding of the complex interaction between cancer cells and the TME and to discover new predictive biomarkers of response to treatments, such as immune checkpoint inhibitors, and targeted therapies.

The molecular steps leading to small cell lung cancer (SCLC) development and progression are still poorly understood, resulting in the absence of targeted therapy and an extremely poor prognosis. Activation of Focal Adhesion Kinase (FAK) plays a key role in the invasive behavior of this cancer in vitro. Our hypothesis is that FAK could be a therapeutic target in SCLC. Our work aims to describe a mouse model to study the role of FAK and the antitumoral potential of its inhibition in SCLC in vivo., (Copyright © 2023 SPLF. Published by Elsevier Masson SAS. All rights reserved.)

Introduction: Approximately 10% of EGFR mutations (EGFRmuts) are uncommon (ucEGFRmuts). We aimed to collect real-world data about osimertinib for patients with ucEGFRmuts., Methods: This is a multicenter, retrospective study of ucEGFRmut (exon 20 insertions excluded) metastatic NSCLC treated with osimertinib as first EGFR inhibitor. The Response Evaluation Criteria in Solid Tumors and response assessment in neuro-oncology brain metastases brain objective response rate (ORR) were evaluated by the investigators. Median progression-free survival (mPFS), median overall survival, and median duration of response (mDOR) were calculated from osimertinib initiation. Mutations found at resistance were collected., Results: A total of 60 patients were included (22 centers, nine countries), with median age of 64 years, 75% females, and 83% Caucasian. The largest subgroups were G719X (30%), L861Q (20%), and de novo Thr790Met (T790M) (15%). The ORR was 61%, mPFS 9.5 months, mDOR 17.4 months, and median overall survival 24.5 months. Regarding patients with no concurrent common mutations or T790M (group A, n = 44), ORR was 60%, mPFS 8.6 months, and mDOR 11 months. For G719X, ORR was 47%, mPFS 8.8 months, and mDOR 9.1 months. For L861Q, ORR was 80%, mPFS 16 months, and mDOR 16 months. For de novo T790M, ORR was 44%, mPFS 12.7 months, and mDOR 46.2 months. Compound EGFRmut including common mutations had better outcome compared with only ucEGFRmut. For 13 patients with a response assessment in neuro-oncology brain metastases-evaluable brain metastases, brain ORR was 46%. For 14 patients, rebiopsy results were analyzed: four patients with additional EGFR mutation (C797S, D585Y, E709K), three with new TP53 mutation, one with c-Met amplification, one with PIK3CA mutation, and one with neuroendocrine transformation., Conclusions: Osimertinib was found to have an activity in ucEGFRmut with a high rate of disease control systemically and intracranially. Several resistance mechanisms were identified. This report comprises, to the best of our knowledge, the largest data set of its kind., (Copyright © 2022 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Introduction: Durvalumab is the standard-of-care as consolidation therapy after chemo-radiotherapy in stage III unresectable non-small cell lung cancer (NSCLC); however, its activity across patients with NSCLC harbouring driver genomic alterations (dGA) is poorly characterised., Material and Methods: Multicentre retrospective study including patients with stage III unresectable NSCLC treated with durvalumab after chemo-radiotherapy between April 2015 and October 2020 at 26 centres in Europe and America. Clinical and biological data were collected; dGA included: EGFR/BRAF/KRAS mutations (m) and ALK/ROS1 rearrangements (r). We evaluated progression-free survival (PFS) and overall survival (OS) based on dGA., Results: Out of 323 patients included, 43 patients had one dGA: KRASm (n = 26; 8 G12C), EGFRm (n = 8; 6 del19/ex21), BRAFm (n = 5; 4 V600E) and ALKr (n = 4). The median age was 66 years [39-84], gender ratio 1:1, with 98% performance status (PS) 0-1 and 19% non-smokers; 88% had adenocarcinoma. PD-L1 was positive in 85% (n = 4 missing). In the whole cohort, the median PFS was 17.5 months (mo.) (95% CI, 13.2-24.9) and median OS 47 mo (95%CI, 47-not reached [NR]). No statistically significant differences in terms of the median PFS were observed between patients with dGA vs. non-dGA: 14.9 mo (95% CI, 8.1-NR) vs. 18 mo. (95% CI, 13.4-28.3) (P = 1.0); however, when analysed separately: the median PFS was NR (11.3-NR) in the KRASm G12C vs. 8.1 mo (5.8-NR) in the EGFRm del19/ex21 vs. 7.8 mo (7.7-NR) in the BRAFm V600E/ALKr (P = 0.02)., Conclusions: We observed limited activity of durvalumab consolidation in patients with stage III unresectable NSCLC with EGFR/BRAFm and ALKr but not for those harbouring KRASm. Larger prospective studies are needed to confirm these findings., Competing Interests: Conflict of interest statement MMj: advisory and consultancy honoraria from Roche, Merck, BristolMyers Squibb, AstraZeneca, Amgen, Boehringer, Sanofi and Takeda; speaker honoraria from Roche, Merck, Bristol-Myers Squibb, AstraZeneca, Bayer, Amgen, Pfizer and Boehringer; grants from AstraZeneca and BristolMyers Squib, and travel/accommodation expenses from Roche, Merck and Lilly. RLC: honoraria from Kyowa Kirin, Pierre-Fabre, Takeda, AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Novartis, Roche, Merck Serono, Pfizer; consulting or advisory role from Roche, Astra-Zeneca, Boehringer Ingelheim, Aristo, Novartis; research funding from Roche, Bristol-Myers Squibb, MSD, Boehringer Ingelheim, AstraZeneca. JBB: grants and personal fees from Roche-Genentech, Pfizer, MSD, BMS, Astrazeneca, Novartis, Boehringer-Ingelheim, Vifor, Sanofi, LEO Pharma, outside the submitted work. SP: Consulting, advisory role or lectures from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Merck, Novartis, Roche, Amgen. MT: travel grants from Roche, Bristol-Myers Squibb, AstraZeneca, Takeda; honoraria as medical writer from Novartis, Amgen. GZ: research grants from Roche-France, Bristol-Myers Squibb, and Takeda outside of the submitted work; perceived fees from Bristol-Myers Squibb, AstraZeneca, Pfizer, and Boehringer Ingelheim outside the submitted work; and reimbursement for international meetings assistance from AbbVie, Merck Sharp & Dohme, AstraZeneca, Bristol-Myers Squibb, and Roche-France. XM-R: Research grant funding from Brystol-Myers Squibb; consulting, advisory role or lectures from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim; honoraria (self) from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Pfizer, Roche, MSD; clinical trials research from Boehringer Ingelheim, Pfizer, Roche, Abbvie; travel, accommodations and expenses from Roche, Pfizer, Brysto-Myers Squibb. JB: educational grants by AMGEN. MSch: speaker and advisory role honoraria, travel accommodations from AMGEN, AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Janssen, Novartis, Pfizer, Roche, Takeda; personal research support from AMGEN, Dracen Pharmaceuticals, Siemens Healthineers; institutional research support from Boehringer Ingelheim, Bristol-Myers Squibb, MSD, Novartis, Pfizer, Roche. EN: research support from Roche, Merck Serono, Bristol Myers Squibb and Pfizer and participated in advisory boards or lectures from Bristol Myers Squibb, Merck Serono, Merck Sharpe & Dohme, Lilly, Roche, Pfizer, Takeda, Bayer, Boehringer Ingelheim, Amgen and AstraZeneca. DS: Consulting, advisory role, honoraria from AstraZeneca, Merck Sharp & Dohme, Bristol-Myers Squibb, Boehringer Ingelheim, Sanofi, Eli Lilly; travel grants from Roche. RGC: Consulting, advisory role or lectures from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Takeda, Janseen, MSD, Roche, Pfizer, Eli Lilly, Amgen, Sanofi; honoraria (self) from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Pfizer, Roche, MSD, Takeda, Eli Lilly, Novartis; clinical trials research from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Merck, Novartis, Pfizer, Roche, Medimmun, Sanofi-Aventis. JMe: Advisory Boards/Honoraria/Speakers’ fee/Consultant for Astra-Zeneca, Boeringher Ingelheim, BMS, Roche, MSD; travel grants from Astra-Zeneca, Boeringher Ingelheim, BMS, Ipsen, Roche, MSD. VB: Clinical trial research from AstraZeneca, Roche, MSD; advisory role/consulting/speaker from Pfizer, MSD, AstraZeneca, Roche, Bristol, Merck, Takeda. MC: Advisory or Consultancy role from AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, EUSA Pharma, Lilly, Roche; honoraria, lectures from Abbot, Bristol-Myers Squibb, EUSA Pharma, Ipsen, Novartis, Pfizer, Pierre Fabre, Roche; travel, expenses from Ipsen, Lilly, Merck, Pfizer, Pierre Fabre; institutional financial interests from Astra Zeneca, Merck, Roche, Pfizer. GR: consulting, advisory role or lectures from AstraZeneca, Bayer, Bristol-Myers Squibb, Janssen, Merck Sharp & Dome, Pfizer, Roche, Takeda; sponsored Research Amgen and Janssen. BB: sponsored research at Gustave Roussy Cancer Centre Abbvie, Amgen, AstraZeneca, Biogen, Blueprint Medicines, BMS, Celgene, Eli Lilly, GSK, Ignyta, IPSEN, Merck KGaA, MSD, Nektar, Onxeo, Pfizer, Pharma Mar, Sanofi, Spectrum Pharmaceuticals, Takeda, Tiziana Pharma. DP: consulting, advisory role or lectures from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Daiichi Sankyo, Eli Lilly, Merck, Novartis, Pfizer, prIME Oncology, Peer CME, Roche; honoraria from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Merck, Novartis, Pfizer, prIME Oncology, Peer CME, Roche; clinical trials research from AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Eli Lilly, Merck, Novartis, Pfizer, Roche, Medimmun, Sanofi-Aventis, Taiho Pharma, Novocure, Daiichi Sankyo; travel, accommodations, expenses from AstraZeneca, Roche, Novartis, prIME Oncology, Pfizer. LM: research grant/Funding (self) from Bristol Myers Squibb, Boehringer Ingelheim, Amgen, Stilla, Inivata; advisory/consultancy from Roche, Takeda; honoraria (self) from Bristol Myers Squibb, Roche, Takeda, AstraZeneca; travel/Accommodation/Expenses from Roche, Bristol Myers Squibb, Takeda, AstraZeneca; non-remunerated activity/ies from AstraZeneca. MR, EA, MMo, ND, EE, RL, JMo, FA, SP, AD, MSp, EM, RR, JCB, LL, BD, AdG, CAV and GL declare no conflicts of interest., (Copyright © 2022. Published by Elsevier Ltd.)

Background: Prior antibiotic therapy (pATB) is known to impair efficacy of single-agent immune checkpoint inhibitors (ICIs), potentially through the induction of gut dysbiosis. Whether ATB also affects outcomes to chemo-immunotherapy combinations is still unknown., Patients and Methods: In this international multicentre study, we evaluated the association between pATB, concurrent ATB (cATB) and overall survival (OS), progression-free survival (PFS) and objective response rate (ORR) in patients with non-small-cell lung cancer (NSCLC) treated with first-line chemo-immunotherapy at eight referral institutions., Results: Among 302 patients with stage IV NSCLC, 216 (71.5%) and 61 (20.2%) patients were former and current smokers, respectively. Programmed death-ligand 1 tumour expression in assessable patients (274, 90.7%) was ≥50% in 76 (25.2%), 1%-49% in 84 (27.9%) and <1% in 113 (37.5%). Multivariable analysis showed pATB-exposed patients to have similar OS {hazard ratio (HR) = 1.42 [95% confidence interval (CI): 0.91-2.22]; P = 0.1207} and PFS [HR = 1.12 (95% CI: 0.76-1.63); P = 0.5552], compared to unexposed patients, regardless of performance status. Similarly, no difference with respect to ORR was found across pATB exposure groups (42.6% versus 57.4%, P = 0.1794). No differential effect was found depending on pATB exposure duration (≥7 versus <7 days) and route of administration (intravenous versus oral). Similarly, cATB was not associated with OS [HR = 1.29 (95% CI: 0.91-1.84); P = 0.149] and PFS [HR = 1.20 (95% CI: 0.89-1.63); P = 0.222] when evaluated as time-varying covariate in multivariable analysis., Conclusions: In contrast to what has been reported in patients receiving single-agent ICIs, pATB does not impair clinical outcomes to first-line chemo-immunotherapy of patients with NSCLC. pATB status should integrate currently available clinico-pathologic factors for guiding first-line treatment decisions, whilst there should be no concern in offering cATB during chemo-immunotherapy when needed., Competing Interests: Disclosure AC received speaker fees and grant consultancies from AstraZeneca, MSD, BMS, Roche and Novartis. DJP received lecture fees from ViiV Healthcare and Bayer Healthcare; travel expenses from BMS and Bayer Healthcare; consulting fees for Mina Therapeutics, EISAI, Roche, AstraZeneca, DaVolterra and BMS; and received research funding (to institution) from MSD and BMS. All other authors have declared no conflicts of interest. Data sharing The datasets used during the present study are available from the corresponding author upon reasonable request., (Copyright © 2021 European Society for Medical Oncology. Published by Elsevier Ltd. All rights reserved.)

Small cell lung cancer (SCLC) has a poor prognosis. Focal adhesion kinase (FAK) is a non-receptor tyrosine kinase regulating cell proliferation, survival, migration, and invasion, which is overexpressed and/or activated in several cancers, including SCLC. We wanted to determine whether FAK contributes to SCLC aggressive behavior. We first evaluated the effect of FAK small-molecule inhibitor PF-573,228 in NCI-H82, NCI-H146, NCI-H196, and NCI-H446 SCLC cell lines. PF-573,228 (0.1-5 μmol/L) inhibited FAK activity by decreasing phospho-FAK (Tyr397), without modifying total FAK expression. PF-573,228 decreased proliferation, decreased DNA synthesis, induced cell-cycle arrest in G 2 -M phases, and increased apoptosis in all cell lines. PF-573,228 also decreased motility in adherent cell lines. To make sure that these effects were not off-target, we then used a genetic method to inhibit FAK in NCI-H82 and NCI-H446, namely stable transduction with FAK shRNA and/or FAK-related nonkinase (FRNK), a splice variant lacking the N-terminal and kinase domains. Although FAK shRNA transduction decreased total and phospho-FAK (Tyr397) expression, it did not affect proliferation, DNA synthesis, or progression through cell cycle. However, restoration of FAK-targeting (FAT) domain (attached to focal adhesion complex where it inhibits pro-proliferative proteins such as Rac-1) by FRNK transduction inhibited proliferation, DNA synthesis, and induced apoptosis. Moreover, although FAK shRNA transduction increased active Rac1 level, FRNK reexpression in cells previously transduced with FAK shRNA decreased it. Therefore, FAK appears important in SCLC biology and targeting its kinase domain may have a therapeutic potential, while targeting its FAT domain should be avoided to prevent Rac1-mediated protumoral activity., (©2018 American Association for Cancer Research.)