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Katsuhiko Shimizu,1 Masao Nakata,1 Shinsuke Saisho,1 Masayuki Inubushi,2 Norihito Okumura,3 Tomohiro Murakawa,4 Motohiro Yamashita,5 Hiroshige Nakamura,6 Yoshifumi Sano,7 Kazuhiko Kataoka,8 Shinichi Toyooka9 1Department of General Thoracic Surgery, Kawasaki Medical School, Kurashiki, Japan; 2Division of Nuclear Medicine, Department of Radiology, Kawasaki Medical School, Kurashiki, Japan; 3Department of Thoracic Surgery, Kurashiki Central Hospital, Kurashiki, Japan; 4Department of Thoracic Surgery, Kansai Medical University, Osaka, Japan; 5Department of Thoracic Surgery, Shikoku Cancer Center, Matsuyama, Japan; 6Division of General Thoracic Surgery, Tottori University Hospital, Yonago, Japan; 7Department of Cardiovascular and Thoracic Surgery, Ehime University Graduate School of Medicine, Toon, Japan; 8Department of Thoracic Surgery, National Hospital Organization Iwakuni Clinical Center, Iwakuni, Japan; 9Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, JapanCorrespondence: Katsuhiko Shimizu, Department of General Thoracic Surgery, Kawasaki Medical School, 577 Matsushima, Kurashiki, Okayama, 701-0192, Japan, Tel +81-86-462-1124, Fax +81-86-464-1124, Email kshimizu@med.kawasaki-m.ac.jpBackground: Induction therapy followed by surgery is recommended as an alternative treatment strategy for locally advanced non-small cell lung cancer (NSCLC). Patients who achieve pathologic response after induction therapy have better outcomes than non-responders; therefore, therapeutic response must be evaluated. Recently, new approaches for monitoring therapeutic responses, which are based on 18F‐Fluorodeoxyglucose positron emission tomography (FDG‐PET), have been developed. In this study, we evaluated the predictive value of Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST), which uses standardized uptake values corrected for lean body mass (SUL) and total lesion glycolysis (TLG).Methods: A total of 130 patients in the Setouchi Lung Cancer Group who underwent FDG-PET imaging before and after induction therapy prior to a planned surgical resection for NSCLC between 2007 and 2016 were studied retrospectively. The pathologic responses of the primary lung tumors and metastatic lymph nodes were compared with their responses based on evaluation using PERCIST.Results: Postoperative pathologic studies revealed pathologic complete response (pCR) in 42 (32.3%) patients. PERCIST was significantly correlated with pathologic response (p < 0.001). The sensitivity, specificity, and accuracy of PERCIST for predicting pCR were 16.7% (7/42), 88.6% (78/88), and 65.4% (85/130), respectively. Patients with pCR had significantly higher reduction rates in SULpeak for both primary lung tumors and metastatic lymph nodes and TLG for primary tumors than non-responders. In a multivariate Cox regression analysis, tumor site in upper lobes, reduction rate of TLG in primary tumor, and pathologic N0 were independent predictors of favorable recurrence-free survival (RFS).Conclusion: Our study suggested that PERCIST, especially the rate of TLG reduction rate, are useful to predict the pathological response and prognosis after induction therapy. Although improvement is necessary, PERCIST can be a promising method of the post-induction status in lung cancer. Further research is needed to confirm our findings.Keywords: non-small cell lung cancer, FDG PET, PERCIST, SUL, TLG

Masaya Suenaga,1 Suguru Yamada,1 Tsutomu Fujii,1 Bryan C Fuchs,2 Norio Okumura,1 Mitsuro Kanda,1 Daisuke Kobayashi,1 Chie Tanaka,1 Goro Nakayama,1 Hiroyuki Sugimoto,1 Masahiko Koike,1 Shuji Nomoto,1 Michitaka Fujiwara,1 Shin Takeda,3 Kazuhiko Hayashi,4 Kenneth K Tanabe,2 Hidemi Goto,4 Yasuhiro Kodera11Department of Gastroenterological Surgery (Surgery II), Nagoya University Graduate School of Medicine, Nagoya, Japan; 2Division of Surgical Oncology, Massachusetts General Hospital Cancer Center and Harvard Medical School, Boston, MA, USA; 3Division of Surgery, Nagoya Medical Center, Nagoya, Japan; 4Department of Gastroenterology, Nagoya University Graduate School of Medicine, Nagoya, JapanBackground: A single nucleotide polymorphism (SNP) in the epidermal growth factor (EGF) gene (rs4444903) has been associated with increased risk of cancer, including hepatocellular carcinoma (HCC). The aim of this study was to examine the relationship between the EGF SNP genotype and the development and prognosis of HCC, in a Japanese population.Methods: Restriction fragment-length polymorphism was used to determine the presence of the EGF SNP genotype in 498 patients, including 208 patients with HCC. The level of EGF messenger ribonucleic acid (mRNA) expression in cancerous tissues was measured by quantitative reverse transcription polymerase chain reaction. The correlation between the EGF SNP genotype and prognosis was statistically analyzed in the patients with HCC.Results: The proportion of the A/A, A/G, and G/G genotypes were 5.3%, 42.8%, and 51.9%, respectively, in the patients with HCC, whereas in those without HCC, they were 8.6%, 35.9%, and 55.5%, respectively, revealing that the odds ratio (OR) of developing HCC was higher in patients with a G allele (OR =1.94, P=0.080 for A/G patients and OR =1.52, P=0.261 for G/G patients, as compared with A/A patients). In particular, when the analysis was limited to the 363 patients with hepatitis C, the OR for developing HCC was 3.54 (P=0.014) for A/G patients and was 2.85 (P =0.042) for G/G patients, as compared with A/A patients. Tumoral EGF mRNA expression in G/G patients was significantly higher than that in A/A patients (P=0.033). No statistically significant differences were observed between the EGF SNP genotype and disease-free or overall survival.Conclusion: The EGF SNP genotype might be associated with a risk for the development of HCC in Japanese patients but not with prognosis. Of note, the association is significantly stronger in patients with hepatitis C, which is the main risk factor for HCC in Japan.Keywords: epidermal growth factor, functional polymorphism, hepatocellular carcinoma, hepatitis C, hepatocarcinogenesis