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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 />

MA08: TREATMENT MONITORING IN ADVANCED NSCLC<br />

TUESDAY, DECEMBER 6, 2016 - 11:00-12:30<br />

MA08.07 PROSPECTIVE SEQUENTIAL COUNTS OF TOTAL CTC OR<br />

CKIT+CTC IN ADVANCED NSCLC WITH 1ST LINE CHEMOTHERAPY<br />

(POLICE)<br />

Xu-Chao Zhang 1 , Zhen Wang 2 , Yan-Ming Deng 3 , Wei-Bang Guo 1 , Jin -Ji Yang 4 ,<br />

Hong-Hong Yan 1 , Qing Zhou 4 , Binchao Wang 2 , Wei-Neng Feng 3 , Huajun Chen 4 ,<br />

Hai-Yan Tu 2 , Li Zhang 5 , Xiaoqing Liu 6 , Qing-Feng Zou 7 , Yi Long Wu 2<br />

1 Medical Research Center, Guangdong Lung Cancer Institute, Guangdong<br />

General Hospital & Guangdong Academy of Medical Sciences, Guangzhou/China,<br />

2 Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong<br />

Academy of Medical Sciences, Guangzhou/China, 3 <strong>Oncology</strong>, Foshan the First<br />

People’S Hospital, Foshan/China, 4 Division of Pulmonary <strong>Oncology</strong>,cancer Center,<br />

Guangdong Lung Cancer Institute, Guangdong General Hospital & Guangdong<br />

Academy of Medical Sciences, Guangzhou/China, 5 Department of Medical<br />

<strong>Oncology</strong>, Sun Yat-Sen University Cancer Center, Guangzhou/China, 6 Department<br />

of Pulmonary <strong>Oncology</strong>, 307 Hospital of the Academy of Military Medical Sciences,<br />

Cancer Center, Beijing/China, 7 Cancer Center of Guangzhou Medical University,<br />

Guangzhou/China<br />

Background: Circulating tumor cells (CTCs) have been reported prognostic<br />

and predictive in non-small cell lung cancer (NSCLC) and a few of other<br />

cancer types. In 1 st line setting, whether EPCAM + CK + CD45 - CTC and/or stem<br />

cell-like cKIT + EPCAM + CK + CD45 - CTC enumeration and dynamic changes can<br />

be prognostic and/or predictive to standard chemotherapy need further<br />

investigation in Chinese patients with NSCLC. Methods: A prospective study<br />

on the CTC enumeration in advanced NSCLC with 1st line chemotherapy<br />

(POLICE) was started by China <strong>Thoracic</strong> <strong>Oncology</strong> Group (CTONG). Patients<br />

with NSCLC naïve for systemic regimens were enrolled since August 2013.<br />

CTCs were detected by Cell Search Platform and identified as positive for<br />

EPCAM + CK + CD45 - phenotype. CD117 (cKIT) marker was added to test the<br />

frequency of stem cell-like cKIT + EPCAM + CK + CD45 - CTCs. Primary endpoints<br />

were CTC counts and its correlation with first line therapy. Results: Totally<br />

180 patients were enrolled. In 174 case total CTC and cKIT + CTC positive (cutoff<br />

>=1) rates were 38.5% (67/172) vs 14.3% (24/168), 21.8% (31/142) vs 6.3%<br />

(9/142), 13.7% (13/95) vs 6.4% (6/94) and 40.4% (38/94) vs 15.0% (13/93) at<br />

time-points of baseline, after first-cycle-chemo, after four-cycles-chemo and<br />

disease progression. At time immediately after first-cycle-chemo, patients in<br />

CTC=0 group got statistically higher ORR (29.0% VS 7.1%, P=0.017) and DCR<br />

(74.2% VS 42.9%, P=0.002) than in CTC>=1 group. At time after four-cycleschemo,<br />

patients in CTC=0 group got statistically higher DCR (88.3% VS 58.3%,<br />

P=0.026) than in CTC>=1 group. At time either after first-cycle-chemo or after<br />

four-cycles-chemo, patients in CTC>=1 group got worse PFS (5.7m VS 4.0m,<br />

P=0.025; 6.3m VS 4.0m, P=0.001 ) than in CTC=0 group. At time after firstcycle-chemo,<br />

patients in groups cKIT + CTC>=1 and cKIT - CTC>=1 got worse PFSs<br />

(3.1m vs 4.0m vs 5.7m, P=0.001) and worse DCRs (44.4% vs 42.1% vs 73.9%,<br />

P=0.009) than in CTC=0 group. For 142 patients categorized into three groups<br />

of dynamic CTC decrease (17), CTC unchanged (82), and CTC increase (43),<br />

there were significant differences in terms of DCR (71.8% vs 71.6% vs 33.3%,<br />

P=0.018) and PFS (5.2m vs 5.6m vs 3.1m, P=0.037). Conclusion: In first line<br />

setting of advanced NSCLC, at time-points after first-cycle-chemo other than<br />

baseline, total CTC or cKIT + CTC counts could be predictive for worse DCR or<br />

PFS. CTC increase from baseline to after-first-cycle-chemo might be a strong<br />

signal for the inefficacy of first line chemotherapy in the NSCLC patients.<br />

Keywords: Circulating tumor cell, non-small cell lung cancer, predictive<br />

marker, cKIT<br />

MA08: TREATMENT MONITORING IN ADVANCED NSCLC<br />

TUESDAY, DECEMBER 6, 2016 - 11:00-12:30<br />

MA08.09 MONITORING PLASMA EGFR MUTATIONS DURING FIRST<br />

LINE TREATMENT WITH EGFR TKIS IN NSCLC PATIENTS<br />

Katja Mohorcic 1 , Izidor Kern 2 , Urska Janzic 1 , Nina Turnsek Hitij 1 , Mitja Rot 2 ,<br />

Tanja Cufer 1<br />

1 Medical <strong>Oncology</strong> Unit, University Clinic of Respiratory and Allergic Diseases<br />

Golnik, Golnik/Slovenia, 2 Pathology Department, University Clinic of Respiratory<br />

and Allergic Diseases Golnik, Golnik/Slovenia<br />

Background: Genotyping cell free circulating DNA (cfDNA) is a non-invasive<br />

method of detecting EGFR mutations (EGFRmu) in plasma and may provide an<br />

option to identify patients who progress while treated with EGFR TKIs. The<br />

aim of our study was to monitor plasma EGFRmu and identify dynamic case<br />

specific changes in plasma EGFRmu during routine treatment of advanced<br />

EGFRmu NSCLC patients. Methods: Plasma was collected from patients with<br />

advanced EGFRmu NSCLC treated with first- or second-generation EGFR TKIs.<br />

Plasma EGFRmu were dynamically monitored consecutively at every<br />

scheduled visit. Cobas EGFR Mutation Test v1 and v2 (Roche, USA) was used to<br />

detect 42 mutations at EGFR gene in exons 18 to 21. Liquid biopsy progression<br />

(LBP) was determined as reappearance of EGFRmu in plasma after<br />

negativisation during treatment or increase of EGFRmu levels expressed by<br />

semi-quantitative index (SQI). Radiologic progression was determined in<br />

accordance with RECIST1.1 criteria. Results: From May 2014, 23 patients were<br />

treated with EGFR TKIs for advanced EGFRmu NSCLC; 20/23 had detectable<br />

activating mutations in plasma before any treatment and were therefore<br />

included in our analysis. Dynamic changes of plasma EGFRmu during 1 st line<br />

EGFR TKI treatment are shown in Figure 1. Eight patients (40%) experienced<br />

RECIST 1.1 progression while on treatment, whereas one patient was<br />

inevaluable. In 4/8 patients (50%) LBP appeared at the same time as radiologic<br />

progression, in 3/8 patients (37%) LBP appeared before radiologic progression<br />

(8w, 14w, 20w before, respectively) and in 1 patient (12%) radiologic<br />

progression appeared 6w before LBP. Among patients who did not experience<br />

radiologic progression yet, some dynamic changes in cfDNA were also<br />

observed, but alterations in the SQI values were much smaller.<br />

Conclusion: Monitoring EGFR mutations in plasma is a feasible and less<br />

invasive method in routine clinical practice and could be used as a predictive<br />

marker of progression on treatment with EGFR TKIs.<br />

Keywords: plasma EGFR mutations, NSCLC<br />

TREATMENT MONITORING IN ADVANCED NSCLC<br />

TUESDAY, DECEMBER 6, 2016 - 11:00-12:30<br />

MA08.10 DETECTION OF THE T790M MUTATION OF EGFR IN<br />

PLASMA OF ADVANCED NSCLC PATIENTS WITH ACQUIRED<br />

RESISTANCE TO EGFR-TKI (WJOG8014LTR)<br />

Koichi Azuma 1 , Takayuki Takahama 2 , Kazuko Sakai 3 , Masayuki Takeda 2 ,<br />

Toyoaki Hida 4 , Masataka Hirabayashi 5 , Tetsuya Oguri 6 , Hiroshi Tanaka 7 ,<br />

Noriyuki Ebi 8 , Toshiyuki Sawa 9 , Akihiro Bessho 10 , Motoko Tachihara 11 ,<br />

Hiroaki Akamatsu 12 , Shuji Bandoh 13 , Daisuke Himeji 14 , Tatsuo Ohira 15 ,<br />

Mototsugu Shimokawa 16 , Nobuyuki Yamamoto 12 , Yoichi Nakanishi 17 , Kazuhiko<br />

Nakagawa 2 , Kazuto Nishio 3<br />

1 Division of Respirology, Neurology, and Rheumatology, Department of Internal<br />

Medicine, Kurume University School of Medicine, Kurume/Japan, 2 Department of<br />

Medical <strong>Oncology</strong>, Kindai University Faculty of Medicine, Osaka-Sayama/Japan,<br />

3 Department of Genome Biology, Kindai University Faculty of Medicine, Osaka-<br />

Sayama/Japan, 4 <strong>Thoracic</strong> <strong>Oncology</strong>, Aichi Cancer Center Hospital, Nagoya/Japan,<br />

5 Hyogo Prefectural Amagasaki General Medical Center, Hyogo/Japan, 6 Nagoya City<br />

University, Aichi/Japan, 7 Department of Internal Medicine, Niigata Cancer Center<br />

Hospital, Niigata/Japan, 8 Department of Respiratory <strong>Oncology</strong>, Iizuka Hospital,<br />

Fukuoka/Japan, 9 Cancer Center, Gifu Municipal Hospital, Gifu/Japan, 10 Respiratory<br />

Medicine, Japanese Red Cross Okayama Hospital, Okayama/Japan, 11 Division<br />

of Respiratory Medicine, Department of Internal Medicine, Kobe University<br />

Graduate School of Medicine, Kobe/Japan, 12 Third Department of Internal Medicine,<br />

Wakayama Medical University, Wakayama/Japan, 13 Kagawa University, Kagawa/<br />

Japan, 14 Department of Internal Medicine, Miyazaki Prefectural Miyazaki Hospital,<br />

Miyazaki/Japan, 15 <strong>Thoracic</strong> Surgery, Tokyo Medical University Hospital, Tokyo/<br />

Japan, 16 Clinical Research Institute, National Kyushu Cancer Center, Fukuoka/Japan,<br />

17 Kyushu University, Fukuoka/Japan<br />

Copyright © 2016 by the International Association for the Study of Lung Cancer<br />

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