Search

A1 Hope and despair in the current treatment of nasopharyngeal cancer, IB Tan, I1 NPC international incidence and risk factors, Ellen T Chang, I2 Familial nasopharyngeal carcinoma and the use of biomarkers, Chien-Jen Chen, Wan-Lun Hsu, Yin-Chu Chien, I3 Genetic susceptibility risk factors for sporadic and familial NPC: recent findings, Allan Hildesheim, I5 Genetic and environmental risk factors for nasopharyngeal cancer in Southeast Asia, James D McKay, Valerie Gaborieau, Mohamed Arifin Bin Kaderi, Dewajani Purnomosari, Catherine Voegele, Florence LeCalvez-Kelm, Graham Byrnes, Paul Brennan, Beena Devi, I6 Characterization of the NPC methylome identifies aberrant epigenetic disruption of key signaling pathways and EBV-induced gene methylation, Li L, Zhang Y, Fan Y, Sun K, Du Z, Sun H, Chan AT, Tsao SW, Zeng YX, Tao Q, I7 Tumor exosomes and translational research in NPC, Pierre Busson, Claire Lhuillier, Olivier Morales, Dhafer Mrizak, Aurore Gelin, Nikiforos Kapetanakis, Nadira Delhem, I8 Host manipulations of the Epstein-Barr virus EBNA1 protein, Sheila Mansouri, Jennifer Cao, Anup Vaidya, and Lori Frappier, I9 Somatic genetic changes in EBV-associated nasopharyngeal carcinoma, Lo Kwok Wai, I10 Preliminary screening results for nasopharyngeal carcinoma with ELISA-based EBV antibodies in Southern China, Sui-Hong Chen, Jin-lin Du, Ming-Fang Ji, Qi-Hong Huang, Qing Liu, Su-Mei Cao, I11 EBV array platform to screen for EBV antibodies associated with NPC and other EBV-associated disorders, Denise L. Doolan, Anna Coghill, Jason Mulvenna, Carla Proietti, Lea Lekieffre, Jeffrey Bethony, and Allan Hildesheim, I12 The nasopharyngeal carcinoma awareness program in Indonesia, Renske Fles, Sagung Rai Indrasari, Camelia Herdini, Santi Martini, Atoillah Isfandiari, Achmad Rhomdoni, Marlinda Adham, Ika Mayangsari, Erik van Werkhoven, Maarten Wildeman, Bambang Hariwiyanto, Bambang Hermani, Widodo Ario Kentjono, Sofia Mubarika Haryana, Marjanka Schmidt, IB Tan, I13 Current advances and future direction in nasopharyngeal cancer management, Brian O’Sullivan, I14 Management of juvenile nasopharyngeal cancer, Enis Ozyar, I15 Global pattern of nasopharyngeal cancer: correlation of outcome with access to radiotherapy, Anne WM Lee, I16 The predictive/prognostic biomarker for nasopharyngeal carcinoma, Mu-Sheng Zeng, I17 Effect of HLA and KIR polymorphism on NPC risk, Xiaojiang Gao, Minzhong Tang, Pat Martin, Yi Zeng, Mary Carrington, I18 Exploring the Association between Potentially Neutralizing Antibodies against EBV Infection and Nasopharyngeal Carcinoma, Anna E Coghill, Wei Bu, Hanh Nguyen, Wan-Lun Hsu, Kelly J Yu, Pei-Jen Lou, Cheng-Ping Wang, Chien-Jen Chen, Allan Hildesheim, Jeffrey I Cohen, I19 Advances in MR imaging in NPC, Ann D King, O1 Epstein-Barr virus seromarkers and risk of nasopharyngeal carcinoma: the gene-environment interaction study on nasopharyngeal carcinoma in Taiwan, Yin-Chu Chien, Wan-Lun Hsu, Kelly J Yu, Tseng-Cheng Chen, Ching-Yuan Lin, Yung-An Tsou, Yi-Shing Leu, Li-Jen Laio, Yen-Liang Chang, Cheng-Ping Wang, Chun-Hun Hua, Ming-Shiang Wu, Chu-Hsing Kate Hsiao, Jehn-Chuan Lee, Ming-Hsui Tsai, Skye Hung-Chun Cheng, Pei-Jen Lou, Allan Hildesheim, Chien-Jen Chen, O2 Familial tendency and environmental co-factors of nasopharyngeal carcinoma: the gene-environment interaction study on nasopharyngeal carcinoma in Taiwan, Wan-Lun Hsu, Kelly J Yu, Yin-Chu Chien, Tseng-Cheng Chen, Ching-Yuan Lin, Yung-An Tsou, Yi-Shing Leu, Li-Jen Liao, Yen-Liang Chang, Tsung-Lin Yang, Chun-Hun Hua, Ming-ShiangWu, Chu-Hsing Kate Hsiao, Jehn-ChuanLee, Ming-Hsui Tsai, Skye Hung-Chun Cheng, Jenq-Yuh Ko, Allan Hildesheim, Chien-Jen Chen, O3 The genetic susceptibility and prognostic role of TERT-CLPTM1L and genes in DNA damage pathways in NPC, Josephine Mun Yee Ko, Wei Dai, Dora Kwong, Wai Tong Ng, Anne Lee, Roger Kai Cheong Ngan, Chun Chung Yau, Stewart Tung, Maria Li Lung, O4 Long term effects of NPC screening, Mingfang Ji, Wei Sheng, Mun Hon Ng, Weimin Cheng, Xia Yu, Biaohua Wu, Kuangrong Wei, Jun Zhan, Yi Xin Zeng, Su Mei Cao, Ningshao Xia, Yong Yuan, O5 Risk prediction of nasopharyngeal carcinoma by detecting host genetic and Epstein-Barr virus variation in saliva, Qian Cui, Miao Xu, Jin-Xin Bei, Yi-Xin Zeng, O6 Patterns of care study in Turkish nasopharyngeal cancer patients (NAZOTURK): A Turkish Radiation Oncology Association Head and Neck Cancer Working Group Study, B Şahin, A Dizman, M Esassolak, A Saran İkizler, HC Yıldırım, M Çaloğlu, B Atalar, F Akman, C Demiroz, BM Atasoy, E Canyilmaz, S Igdem, G Ugurluer, T Kütük, M Akmansoy, E Ozyar, O7 Long term outcome of intensity modulated radiotherapy in nasopharyngeal carcinoma in National Cancer Centre Singapore, Kiattisa Sommat, Fu Qiang Wang, Li-Lian Kwok, Terence Tan, Kam Weng Fong, Yoke Lim Soong, Shie Lee Cheah, Joseph Wee, O8 International phase II randomized study on the addition of docetaxel to the combination of cisplatin and 5-fluorouracil in the induction treatment for nasopharyngeal carcinoma in children and adolescents, M Casanova, E Özyar, C Patte, D Orbach, A Ferrari, VF Cristine, H Errihani, J Pan, L Zhang, S Liji, K Grzegorzewski, L Gore, A Varan, O9 Prognostic impact of metastatic status in patients with nasopharyngeal carcinoma, Susanna Hilda Hutajulu, Guntara Khuzairi, Camelia Herdini, Henry Kusumo, Mardiah Suci Hardianti, Kartika Widayati Taroeno-Hariadi, Ibnu Purwanto, Johan Kurnianda, O10 Development of small molecule inhibitors of latent Epstein-Barr virus infection for the treatment of nasopharyngeal carcinoma, Troy E. Messick, Kimberly Malecka, Lois Tolvinski, Samantha Soldan, Julianna Deakyne, Hui Song, Antonio van den Heuvel, Baiwei Gu, Joel Cassel, Mark McDonnell, Garry R Smith, Venkata Velvadapu, Haiyan Bian, Yan Zhang, Marianne Carlsen, Shuai Chen, Alastair Donald, Christian Lemmen, Allen B Reitz, Paul M Lieberman, O11 Therapeutic targeting of cancer stem-like cells using a Wnt modulator, ICG-001, enhances the treatment outcome of EBV-positive nasopharyngeal carcinoma, King Chi Chan, Lai Sheung Chan, Kwok Wai Lo, Timothy Tak Chun Yip, Roger Kai Cheong Ngan, Michael Kahn, Maria Li Lung, Nai Ki Mak, O12 Role of micro-RNA in NPC biology, Fei-Fei Liu, O13 Expansion of EBNA1- and LMP2-specific effector T lymphocytes from patients with nasopharyngeal carcinoma without enhancement of regulatory T cells, Wafa Khaali; Juliette Thariat; Laurence Fantin; Flavia Spirito; Meriem Khyatti; El Khalil Ben Driss; Sylvain Olivero; Janet Maryanski; Alain Doglio, O14 The experience of patients’ life after amifostine radiotherapy treatment (ART) for nasopharyngeal carcinoma (NPC), Mengxue Xia, Yunfei Xia, Hui Chang, Rachel Shaw, O15 Analysis of mitochondrial DNA mutation in latent membrane protein-1 positive nasopharyngeal carcinoma, Pudji Rahaju, O16 Factors influencing treatment adherence of nasopharyngeal cancer and the clinical outcomes: a hospital-based study, Mardiah Suci Hardianti, Sindhu Wisesa, Kartika Widayati Taroeno-Harijadi, Ibnu Purwanto, Bambang Hariwiyanto, Wigati Dhamiyati, Johan Kurnianda, O17 Chromosomal breaks mediated by bile acid-induced apoptosis in nasopharyngeal epithelial cells: in relation to matrix association region/scaffold attachment region, Sang-Nee Tan, Sai-Peng Sim, O18 Expression of p53 (wild type) on nasopharyngeal carcinoma stem cell that resistant to radiotherapy, Muhtarum Yusuf, Ahmad C Romdhoni, Widodo Ario K, Fedik Abdul Rantam, O19 Mathematical model of nasopharyngeal carcinoma in cellular level, Sugiyanto, Lina Aryati, Fajar Adi-Kusumo, Mardiah Suci Hardianti, O20 Differential expression of microRNA-21 on nasopharyngeal carcinoma plasma patient, SY Bintoro, R Oktriani, C. Herawati, A Surono, Sofia M. Haryana, O21 Therapeutic targeting of an oncogenic fibroblast growth factor-FGF19, which promotes proliferation and induces EMT of carcinoma cells through activating ERK and AKT signaling, L. Zhong, L. Li, B. B. Ma, A. T. Chan, Q. Tao, O22 Resist nasopharyngeal carcinoma (NPC): next generation T cells for the adoptive immunotherapy of NPC, M. Kalra, M. Ngo, S. Perna, A. Leen, N. Lapteva, C. M. Rooney, S. Gottschalk, O23 The correlation of heat shock protein 70 expressions and staging of nasopharyngeal carcinoma, Elida Mustikaningtyas, Sri Herawati, Achmad C Romdhoni, O24 Epstein-Barr virus serological profiles of nasopharyngeal carcinoma - A tribute to Werner Henle, Mingfang Ji, YaruiXu, Weimin Cheng, ShengxiangGe, Fugui Li, M. H. Ng, O25 Targeting the apoptosis pathway using combination TLR3 agonist with anti-survivin molecule (YM-155) in nasopharyngeal carcinoma, Louise SY Tan, Benjamin Wong, CM Lim, O26 The resistance mechanism of nasopharyngeal cancer stem cells to cisplatin through expression of CD44, Hsp70, p53 (wild type), Oct-4, and ß-catenin encoded-genes, Achmad C Romdhoni, Fedik A. Rantam, Widodo Ario Kentjono, P1 Prevalence of nasopharyngeal carcinoma patients at Departement of Otorhinolaringology-Head and Neck Surgery, Dr. Hasan Sadikin general hospital, Bandung, Indonesia in 2010-2014, Deasy Z Madani, Nur Akbar, Agung Dinasti Permana, P2 Case report on pediatric nasopharyngeal carcinoma at Dr. Sardjito Hospital, Yogyakarta, Camelia Herdini, Sagung Rai Indrasari, Jajah Fachiroh, Dwi Hartati, T. Baning Rahayudjati, P3 Report on loco regionally advanced nasopharyngeal cancer patients treated with induction chemotherapy followed by concurrent chemo-radiation therapy, Iswandi Darwis, Susanna Hilda Hutajulu, Bambang Hariwiyanto, Wigati Dhamiyati, Ibnu Purwanto, Kartika Widayati Taroeno-Hariadi, Johan Kurnianda, P4 Sex and age differences in the survival of patients with nasopharyngeal carcinoma, Sindhu Wisesa, Mardiah Suci Hardianti, Susanna Hilda Hutajulu, Kartika Widayati Taroeno-Harijadi, Ibnu Purwanto, Camelia Herdini, Wigati Dhamiyati, Johan Kurnianda, P5 Impact of delayed diagnosis and delayed therapy in the treatment outcome of patients with nasopharyngeal carcinoma, Khoirul Anwar, Susanna Hilda Hutajulu, Sagung Rai Indrasari, Sri Retna Dwidanarti, Ibnu Purwanto, Kartika Widayati Taroeno-Hariadi, Johan Kurnianda, P6 Anaysis of pretreatment anemia in nasopharyngeal cancer patients undergoing neoadjuvant therapy, Dominicus Wendhy Pramana, Susanna Hilda Hutajulu, Bambang Hariwiyanto, Wigati Dhamiyati, Ibnu Purwanto, Kartika Widayati Taroeno-Hariadi, Johan Kurnianda, P7 Results of treatment with neoadjuvant cisplatin-5FU in locally advanced nasopharyngeal carcinoma: a local experience, Diah Ari Safitri, Susanna Hilda Hutajulu, Camelia Herdini, Sri Retna Dwi Danarti, Ibnu Purwanto, Kartika Widayati Taroeno-Hariadi, Johan Kurnianda, P8 Geriatrics with nasopharyngeal cancer, Suryo A Taroeno, Sindhu Wisesa, Kartika Widayati Taroeno-Hariadi, Ibnu Purwanto, Bambang Hariwiyanto, Wigati Dhamiyati, Johan Kurnianda, P9 Correlation of lymphocyte to monocyte and neutrophil to lymphocyte ratio to the response of cisplatin chemoradiotheraphy in locally advance nasopharyngeal carcinoma, I. Wijaya, A. Oehadian, D. Prasetya, P10 Prediction of nasopharyngeal carcinoma risk by Epstein-Barr virus seromarkers and environmental co-factors: the gene-environment interaction study on nasopharyngeal carcinoma in Taiwan, Wan-Lun Hsu, Yin-Chu Chien, Kelly J Yu, Cheng-Ping Wang, Ching-Yuan Lin, Yung-An Tsou, Yi-Shing Leu, Li-Jen Liao, Yen-Liang Chang191,192, Jenq-Yuh Ko, Chun-Hun Hua, Ming-Shiang Wu, Chu-Hsing Kate Hsiao, Jehn-Chuan Lee, Ming-Hsui Tsai, Skye Hung-Chun Cheng, Pei-Jen Lou, Allan Hildesheim, Chien-Jen Chen, P11 Non-viral risk factors for nasopharyngeal carcinoma in West Sumatra, Indonesia, Sukri Rahman, Bestari J. Budiman, Novialdi, Rahmadona, Dewi Yuri Lestari, P12 New prototype Vidas EBV IgA quick: performance on Chinese and Moroccan populations, C. Yin, A. Foussadier, E. Blein, C. Chen, N. Bournet Ammour, M. Khiatti, S. Cao, P13 The expression of EBV-LMP1 and VEGF as predictors and plasma EBV-DNA levels as early marker of distant metastasis after therapy in nasopharyngeal cancer, Dewi Syafriyetti Soeis Marzaini, P14 Characteristics and factors influencing subjects refusal for blood samples retrieval: lesson from NPC case control study in Yogyakarta – Indonesia, Dwi Hartati, Baning Rahayujati, Camelia Herdini, Jajah Fachiroh, P15 Expression of microRNA BART-7-3p and mRNA PTEN on blood plasma of patients with nasopharyngeal carcinoma, L. Gunawan, S. Mubarika Haryana, A. Surono, C. Herawati, P16 IgA response to native early antigen (IgA-EAext) of Epstein-Barr virus (EBV) in healthy population and nasopharyngeal carcinoma (NPC) patients: the potential for diagnosis and screening tools, Michael Hartono, Jajah Fachiroh, Umi Intansari, Dewi Kartikawati Paramita, P17 IgA responses against Epstein-Barr Virus Early Antigen (EBV-EA) peptides as potential candidates of nasopharyngeal carcinoma detection marker, Akmal Akbar, Jajah Fachiroh, Dewi Kartikawati Paramita, P18 Association between smoking habit and IgA-EBV titer among healthy individuals in Yogyakarta, Indonesia, Benny Hermawan, T Baning Rahayudjati, Dewi K Paramita, Jajah Fachiroh, P19 Epstein-Barr virus IgA titer comparison of healthy non-family individuals and healthy first degree family of NPV patients, Gabriella Argy, Jajah Fachiroh, Dewi Kartikawati Paramita, Susanna Hilda Hutajulu, P20 Identification of EBV Early Antigen (EA) derived peptides for NPC diagnosis, Theodora Caroline Sihotang, Jajah Fachiroh, Umi Intansari, Dewi Kartikawati Paramita, P21 Host-pathogen study: relative expression of mRNA BRLF1 Epstein-Barr virus as a potential biomarker for tumor progressivity and polymorphisms of TCRBC and TCRGC2 host genes related to genetic susceptibility on nasopharyngeal carcinoma, Daniel Joko Wahyono, Purnomo Soeharso, Dwi Anita Suryandari, Lisnawati, Zanil Musa, Bambang Hermani, P22 In vitro efficacy of silvestrol and episilvestrol, isolated from Borneo, on nasopharyngeal carcinoma, a major cancer in Borneo, Maelinda Daker, Yeo Jiun Tzen, Norhasimah Bakar, Asma’ Saiyidatina Aishah Abdul Rahman, Munirah Ahmad, Yeo Tiong Chia, Alan Khoo Soo Beng, P23 The expression of mir-141 in patients with nasopharyngeal cancer, Widyandani Sasikirana, Tirta Wardana, Muhammad Radifar, Cita Herawati, Agus Surono, Sofia Mubarika Haryana

is Table S4 presenting mean differences in MD measures between processed images and the corresponding raw digital image, by percent density and breast area categories. (DOC 30 kb)

Screenshots of MutSpec tools inputs and outputs in Galaxy. (PPT 2468Â kb)

is Table S1 presenting percent density, dense area and total breast area in raw–processed image pairs and in SFM–processed digital image pairs, by reader. (DOC 33 kb)

Various food patterns have been associated with weight change in adults, but it is unknown which combinations of nutrients may account for such observations. We investigated associations between main nutrient patterns and prospective weight change in adults. This study includes 235,880 participants, 25-70 years old, recruited between 1992 and 2000 in 10 European countries. Intakes of 23 nutrients were estimated from country-specific validated dietary questionnaires using the harmonized EPIC Nutrient DataBase. Four nutrient patterns, explaining 67 % of the total variance of nutrient intakes, were previously identified from principal component analysis. Body weight was measured at recruitment and self-reported 5 years later. The relationship between nutrient patterns and annual weight change was examined separately for men and women using linear mixed models with random effect according to center controlling for confounders. Mean weight gain was 460 g/year (SD 950) and 420 g/year (SD 940) for men and women, respectively. The annual differences in weight gain per one SD increase in the pattern scores were as follows: principal component (PC) 1, characterized by nutrients from plant food sources, was inversely associated with weight gain in men (-22 g/year; 95 % CI -33 to -10) and women (-18 g/year; 95 % CI -26 to -11). In contrast, PC4, characterized by protein, vitamin B2, phosphorus, and calcium, was associated with a weight gain of +41 g/year (95 % CI +2 to +80) and +88 g/year (95 % CI +36 to +140) in men and women, respectively. Associations with PC2, a pattern driven by many micro-nutrients, and with PC3, a pattern driven by vitamin D, were less consistent and/or non-significant. We identified two main nutrient patterns that are associated with moderate but significant long-term differences in weight gain in adults.

is Table S3 presenting correlation of MD measures in inter-reader repeats. (DOC 29 kb)

is Information 1 showing calibration equations for the conversion of raw vDA to processed vDA, and Information 2 showing calibration equations for the conversion of processed vDA to raw vDA. (DOC 41 kb)

Incidence rates of differentiated thyroid carcinoma (TC) have increased in many countries. Adiposity and dietary risk factors may play a role, but little is known on the influence of energy intake and macronutrient composition. The aim of this study was to investigate the associations between TC and the intake of energy, macronutrients, glycemic index (GI) and glycemic load in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The study included 477,274 middle-age participants (70.2% women) from ten European countries. Dietary data were collected using country-specific validated dietary questionnaires. Total carbohydrates, proteins, fats, saturated, monounsaturated and polyunsaturated fats (PUFA), starch, sugar, and fiber were computed as g/1,000 kcal. Multivariable Cox regression was used to calculate multivariable adjusted hazard ratios (HR) and 95% confidence interval (CI) by intake quartile (Q). After a mean follow-up time of 11 years, differentiated TC was diagnosed in 556 participants (90% women). Overall, we found significant associations only with total energy (HRQ4vs.Q1, 1.29; 95% CI, 1.00-1.68) and PUFA intakes (HRQ4vs.Q1, 0.74; 95% CI, 0.57-0.95). However, the associations with starch and sugar intake and GI were significantly heterogeneous across body mass index (BMI) groups, i.e., positive associations with starch and GI were found in participants with a BMI25 and with sugar intake in those with BMI

is Table S2 presenting mean MD measures of inter-reader repeats, by reader and image type. (DOC 29 kb)

Example of NMF analysis with combined matrices from different analyses. Matrices from two different analyses may be combined in a single matrix to analyse samples from analysis 1 and 2 together. This matrix should contain a header with sample IDs and have 96 rows describing the 6 SBS types in their sequence context. The matrix should be formatted as tab-delimited text to be accepted as input of MutSpec-NMF. (PPT 348Â kb)

is Figure S2 showing Bland–Altman plots for within-system and within-reader standardized vDA measures. (DOCX 79 kb)

Circulating tumor DNA (ctDNA) is emerging as a key potential biomarker for post-diagnosis surveillance but it may also play a crucial role in the detection of pre-clinical cancer. Small-cell lung cancer (SCLC) is an excellent candidate for early detection given there are no successful therapeutic options for late-stage disease, and it displays almost universal inactivation of TP53. We assessed the presence of TP53 mutations in the cell-free DNA (cfDNA) extracted from the plasma of 51 SCLC cases and 123 non-cancer controls. We identified mutations using a pipeline specifically designed to accurately detect variants at very low fractions. We detected TP53 mutations in the cfDNA of 49% SCLC patients and 11.4% of non-cancer controls. When stratifying the 51 initial SCLC cases by stage, TP53 mutations were detected in the cfDNA of 35.7% early-stage and 54.1% late-stage SCLC patients. The results in the controls were further replicated in 10.8% of an independent series of 102 non-cancer controls. The detection of TP53 mutations in 11% of the 225 non-cancer controls suggests that somatic mutations in cfDNA among individuals without any cancer diagnosis is a common occurrence, and poses serious challenges for the development of ctDNA screening tests. (C) 2016 Published by Elsevier B.V.

is Figure S1 showing Bland–Altman plots for vMD measures, by mammography system and reader for: (A) percent mammographic density, (B) dense area and (C) breast area. Y axes to the same scale for comparisons. (DOCX 138 kb)

Metabolomics is a potentially powerful tool for identification of biomarkers associated with lifestyle exposures and risk of various diseases. This is the rationale of the ‘meeting-in-the-middle’ concept, for which an analytical framework was developed in this study. In a nested case-control study on hepatocellular carcinoma (HCC) within the European Prospective Investigation into Cancer and nutrition (EPIC), serum H-1 nuclear magnetic resonance (NMR) spectra (800 MHz) were acquired for 114 cases and 222 matched controls. Through partial least square (PLS) analysis, 21 lifestyle variables (the ‘predictors’, including information on diet, anthropometry and clinical characteristics) were linked to a set of 285 metabolic variables (the ‘responses’). The three resulting scores were related to HCC risk by means of conditional logistic regressions. The first PLS factor was not associated with HCC risk. The second PLS metabolomic factor was positively associated with tyrosine and glucose, and was related to a significantly increased HCC risk with OR = 1.11 (95% CI: 1.02, 1.22, P = 0.02) for a 1SD change in the responses score, and a similar association was found for the corresponding lifestyle component of the factor. The third PLS lifestyle factor was associated with lifetime alcohol consumption, hepatitis and smoking, and had negative loadings on vegetables intake. Its metabolomic counterpart displayed positive loadings on ethanol, glutamate and phenylalanine. These factors were positively and statistically significantly associated with HCC risk, with 1.37 (1.05, 1.79, P = 0.02) and 1.22 (1.04, 1.44, P = 0.01), respectively. Evidence of mediation was found in both the second and third PLS factors, where the metabolomic signals mediated the relation between the lifestyle component and HCC outcome. This study devised a way to bridge lifestyle variables to HCC risk through NMR metabolomics data. This implementation of the ‘meeting-in-the-middle’ approach finds natural applications in settings characterised by high-dimensional data, increasingly frequent in the omics generation.

Genetic variants located within the 12p13.33/RAD52 locus have been associated with lung squamous cell carcinoma (LUSC). Here, within 5,947 UADT cancers and 7,789 controls from 9 different studies, we found rs10849605, a common intronic variant in RAD52, to be also associated with upper aerodigestive tract (UADT) squamous cell carcinoma cases (OR = 1.09, 95% CI: 1.04-1.15, p = 6x10(-4)). We additionally identified rs10849605 as a RAD52 cis-eQTL inUADT(p = 1x10(-3)) and LUSC (p = 9x10(-4)) tumours, with the UADT/LUSC risk allele correlated with increased RAD52 expression levels. The 12p13.33 locus, encompassing rs10849605/RAD52, was identified as a significant somatic focal copy number amplification in UADT(n = 374, q-value = 0.075) and LUSC (n = 464, q-value = 0.007) tumors and correlated with higher RAD52 tumor expression levels (p = 6x10(-48) and p = 3x10(-29) in UADT and LUSC, respectively). In combination, these results implicate increased RAD52 expression in both genetic susceptibility and tumorigenesis of UADT and LUSC tumors.

Differentiated thyroid carcinoma (TC) is threefold more common in women than in men and, therefore, a role of female hormones in the etiology of differentiated TC has been suggested. We assessed these hypotheses in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Among 345,157 women (mean age 51) followed for an average of 11 years, 508 differentiated TC cases were identified. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression models. No significant associations were observed between differentiated TC risk and number of pregnancies, breast feeding, menopausal status, and age at menarche and at menopause. Significant associations were found with history of infertility problems (HR 1.70; 95% CI 1.12-2.60), a recent pregnancy (HR for ≤ 5 vs.5 years before recruitment 3.87; 95% CI 1.43-10.46), menopause type (HR for surgical vs. natural menopause: 2.16; 95% CI 1.41-3.31), oral contraceptive (OC) use at recruitment (HR: 0.48; 95% CI 0.25-0.92) and duration of OC use (HR for ≥ 9 vs. ≤ 1 year: 0.66; 95% CI: 0.50-0.89). An increased risk was also found with hormone replacement therapy use at recruitment (HR = 1.30, 95% CI 1.02-1.67), but this was not significant after adjustment for type of menopause (HR = 1.22, 95% CI 0.95-1.57). Overall, our findings do not support a strong role of reproductive and menstrual factors, and female hormone use in the etiology of differentiated TC. The few observed associations may be real or accounted for by increased surveillance in women who had infertility problems, recent pregnancies or underwent surgical menopause.

Background: Compared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses. Methodology/Principal Findings: We identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores. Conclusion/Significance: The use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term of food sources. These outcomes open research opportunities and perspectives of using nutrient patterns in future studies particularly at international level.

Background Increased levels of thyroglobulin (Tg) and thyroid-stimulating hormone (TSH) are associated with differentiated thyroid carcinoma (TC) risk, but strong epidemiological evidence is lacking. Methods Three hundred fifty-seven incident TC case patients (n = 300 women and 57 men; mean age at blood collection = 51.5 years) were identified in the EPIC cohort study and matched with 2 (women) or 3 (men) control subjects using incidence density sampling. Matching included study center, sex, age, date, time, and fasting status at blood collection. Levels of total and free (f) thyroxine (T4) and triiodo-thyronine (T3), TSH, Tg, and anti-Tg antibodies (TgAb) were measured by commercially available immunoassays. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed using conditional logistic regression. All statistical tests were two-sided. Results TC risk was positively associated with Tg (OR for the highest vs lowest quartile = 9.15; 95% CI = 5.28 to 15.90; P < .001) and negatively associated with TSH level (OR = 0.56; 95% CI = 0.38 to 0.81; P = .001). Odds ratios were not modified by adjustment for weight and height and were consistent across sexes, age groups, and countries. The association with Tg was stronger in follicular than papillary TC. The odds ratio for TgAb-positivity was 1.50 (95% CI = 1.05 to 2.15; P = .03). Among case patients, TSH level was stable over time, whereas Tg level was higher in proximity to TC diagnosis. Areas under the receiver operating characteristic curve were 57% and 74% for TSH and Tg level, respectively. Conclusions High Tg levels precede by up to 8 years the detection of TC, pointing to a long sojourn time of the disease. Low TSH levels may predispose to TC onset. Neither marker has sufficient accuracy to be a screening test.

Purpose Human papillomavirus type 16 (HPV16) infection is causing an increasing number of oropharyngeal cancers in the United States and Europe. The aim of our study was to investigate whether HPV antibodies are associated with head and neck cancer risk when measured in prediagnostic sera. Methods We identified 638 participants with incident head and neck cancers (patients; 180 oral cancers, 135 oropharynx cancers, and 247 hypopharynx/larynx cancers) and 300 patients with esophageal cancers as well as 1,599 comparable controls from within the European Prospective Investigation Into Cancer and Nutrition cohort. Prediagnostic plasma samples from patients (collected, on average, 6 years before diagnosis) and control participants were analyzed for antibodies against multiple proteins of HPV16 as well as HPV6, HPV11, HPV18, HPV31, HPV33, HPV45, and HPV52. Odds ratios (ORs) of cancer and 95% CIs were calculated, adjusting for potential confounders. All-cause mortality was evaluated among patients using Cox proportional hazards regression. Results HPV16 E6 seropositivity was present in prediagnostic samples for 34.8% of patients with oropharyngeal cancer and 0.6% of controls (OR, 274; 95% CI, 110 to 681) but was not associated with other cancer sites. The increased risk of oropharyngeal cancer among HPV16 E6 seropositive participants was independent of time between blood collection and diagnosis and was observed more than 10 years before diagnosis. The all-cause mortality ratio among patients with oropharyngeal cancer was 0.30 (95% CI, 0.13 to 0.67), for patients who were HPV16 E6 seropositive compared with seronegative. Conclusion HPV16 E6 seropositivity was present more than 10 years before diagnosis of oropharyngeal cancers. (C) 2013 by American Society of Clinical Oncology