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Journal Thoracic Oncology

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Abstracts <strong>Journal</strong> of <strong>Thoracic</strong> <strong>Oncology</strong> • Volume 12 Issue S1 January 2017<br />

Hospitals NHS Foundation Trust, Sheffield/United Kingdom, 3 The Christie,<br />

Manchester/United Kingdom<br />

Background: Worldwide lung cancer is the biggest cause of cancer mortality<br />

(Cancer Research UK, 2012) and is the UK’s second most commonly diagnosed<br />

malignancy (Macmillan Cancer Support, 2013). Early detection and treatment<br />

significantly improves five year survival rates but curative treatments can<br />

impact on patients’ health and wellbeing. To date little research has been<br />

conducted to establish the support needs and recovery patterns of health<br />

and wellbeing among lung cancer patients treated with curative intent<br />

radiotherapy. This limits our ability to identify those most at risk of poorer<br />

health and wellbeing outcomes and target services effectively to support<br />

patients better. This study assesses the feasibility of collecting patient<br />

reported outcomes measures (PROMs) and clinical details to understand<br />

recovery after curative intent radiotherapy treatment for lung cancer.<br />

Methods: This mixed methods study used a prospective, longitudinal cohort<br />

design. Eligible patients awaiting curative intent radiotherapy were recruited<br />

from six UK sites between October 2015 and June 2016. Questionnaires<br />

were completed before undergoing radiotherapy and 3 months later. The<br />

questionnaires included validated patient reported outcome measures,<br />

including quality of life, symptoms, social support, wellbeing and sociodemographic<br />

details. Participants’ medical details were collected by<br />

healthcare professionals (HCPs) including cancer type, stage, treatment,<br />

and comorbid conditions. Study procedures were evaluated in a qualitative<br />

process evaluation. Results: Of 229 eligible patients, 136 consented to the<br />

study with 73% uptake of those approached. A further 13 patients provided<br />

reduced consent to collect demographic and medical information only.<br />

Preliminary results: response rates 76% at baseline and 65% at 3 months.<br />

Of baseline responders: 59% were male; the median age was 70 years; 29%<br />

lived alone; 61% were home owner-occupiers and 20% were current smokers.<br />

Baseline EORTC-QLQ-C30 results showed a mean global health status score<br />

of 56.6 and patients were most affected by dyspnoea and fatigue with<br />

mean scores of 48.8 and 45.0. These are in line with expected scores based<br />

on reference data. To date 9 HCPs, 7 patients and 2 stakeholders have been<br />

interviewed as part of the process evaluation, study processes and procedures<br />

are deemed acceptable to participants. Conclusion: This study demonstrates<br />

it is feasible to recruit a cohort of lung cancer patients prospectively to<br />

assess wellbeing and patterns of recovery following radiotherapy. This novel<br />

approach to understanding lung cancer patients’ experiences of survival will<br />

enhance our ability to target appropriate and timely support to those most at<br />

risk of poorer health and wellbeing.<br />

Keywords: quality of life, Feasibility, Radiotherapy<br />

SESSION MA14: IMMUNOTHERAPY IN ADVANCED NSCLC:<br />

BIOMARKERS AND COSTS<br />

TUESDAY, DECEMBER 6, 2016 - 16:00-17:30<br />

MA14.01 UPDATED DATASET ASSESSING TUMOR MUTATION<br />

BURDEN (TMB) AS A BIOMARKER FOR RESPONSE TO PD-1/PD-L1<br />

TARGETED THERAPIES IN LUNG CANCER (LC)<br />

Alexa Schrock 1 , Neelesh Sharma 2 , Nir Peled 3 , Jose Bufill 4 , Gordan Srkalovic 5 ,<br />

David Spigel 6 , David Fabrizio 1 , Garrett Frampton 1 , Caitlin Connelly 1 , Mary Beth<br />

Lipka 2 , Anna Belilovski 3 , Jun Lo 1 , Yali Li 1 , James Sun 1 , Kyle Gowen 1 , Gregory<br />

Kalemkerian 7 , Luis Raez 8 , Sai-Hong Ou 9 , Jeffrey Ross 1 , Philip Stephens 1 , Siraj<br />

Ali 1 , Vincent Miller 1<br />

1 Foundation Medicine, Cambridge/United States of America, 2 Hematology<br />

and <strong>Oncology</strong>, University Hospitals, Cleveland/OH/United States of America,<br />

3 Davidoff Cancer Center, Petach Tikva/Israel, 4 Michiana Hematology-<strong>Oncology</strong>,<br />

Pc, Mishawaka/IN/United States of America, 5 Sparrow Regional Cancer Center,<br />

Lansing/AL/United States of America, 6 Sarah Cannon Research Institute, Nashville/<br />

United States of America, 7 University of Michigan Cancer Center, Ann Arbor/MI/<br />

United States of America, 8 Memorial Cancer Institute, Miami/FL/United States of<br />

America, 9 University of California Irvine School of Medicine, Orange County/CA/<br />

United States of America<br />

Background: Immune checkpoint inhibitors (ICPIs) nivolumab and<br />

pembrolizumab have been FDA-approved in non-small cell LC (NSCLC). Current<br />

IHC based diagnostics are challenged by assay and slide scoring issues and<br />

modest predictive value, and more robust and comprehensive biomarkers<br />

of ICPI efficacy are needed. A discovery set of 64 NSCLCs treated with ICPIs<br />

suggested that high TMB (≥15 mutations/Mb) significantly correlated with<br />

longer time on drug (Spigel et al., ASCO 2016, Abstract:9017). Methods:<br />

Comprehensive genomic profiling (CGP) was performed during the course<br />

of clinical care. TMB was assessed as the number of somatic, coding, base<br />

substitution and indels per Mb of genome. Microsatellite instability-high<br />

(MSI-H) or stable (MSS) status was determined using a proprietary algorithm.<br />

Results: 15,529 LCs: 66% adenocarcinoma, 1% sarcomatoid, 14% NSCLC NOS,<br />

11% squamous, 5% small cell, and 2% large cell were assessed. TMB was similar<br />

across all lung histologies (median: 6.3, 8.1, 9.0, 9.9, 9.9, and 10.8); the median<br />

was 7.6 for all LC cases (TMB ≥15 in 24% of cases), compared to 4.5 for 80,000+<br />

samples of diverse tumor types in the database. Of LCs assessed 0.3% were<br />

MSI-H, of which 30/31 were TMB-high; however, 24% of MSS-stable cases<br />

were also TMB-high. PD-L1 amplification and DNA repair pathway mutation<br />

(MLH1, MSH2, POLE) were found in 1.0% and 1.1% of LC cases analyzed,<br />

respectively. Tumors harboring known drivers (ALK, ROS1, EGFR, BRAF V600E,<br />

MET splice) had low TMB (median: 2.5, 3.6, 3.8, 3.8, 4.5), whereas tumors with<br />

KRAS mutation, non-V600E BRAF mutation, PD-L1 amplification, or DNA<br />

repair alterations were more likely to be TMB-high (median: 9.0, 10.8, 14.4,<br />

21.6). Conclusion: High TMB may be a predictive biomarker of response to<br />

ICPIs. Several factors including lack of a known driver, MSI-H status, PD-L1<br />

amplification, and DNA repair mutation correlated with high TMB (P

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