Sir Peter MacCallum Department of Oncology - Research Publications

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    Pheo-Type: A Diagnostic Gene-expression Assay for the Classification of Pheochromocytoma and Paraganglioma
    Flynn, A ; Dwight, T ; Harris, J ; Benn, D ; Zhou, L ; Hogg, A ; Catchpoole, D ; James, P ; Duncan, EL ; Trainer, A ; Gill, AJ ; Clifton-Bligh, R ; Hicks, RJ ; Tothill, RW (ENDOCRINE SOC, 2016-03)
    CONTEXT: Pheochromocytomas and paragangliomas (PPGLs) are heritable neoplasms that can be classified into gene-expression subtypes corresponding to their underlying specific genetic drivers. OBJECTIVE: This study aimed to develop a diagnostic and research tool (Pheo-type) capable of classifying PPGL tumors into gene-expression subtypes that could be used to guide and interpret genetic testing, determine surveillance programs, and aid in elucidation of PPGL biology. DESIGN: A compendium of published microarray data representing 205 PPGL tumors was used for the selection of subtype-specific genes that were then translated to the Nanostring gene-expression platform. A support vector machine was trained on the microarray dataset and then tested on an independent Nanostring dataset representing 38 familial and sporadic cases of PPGL of known genotype (RET, NF1, TMEM127, MAX, HRAS, VHL, and SDHx). Different classifier models involving between three and six subtypes were compared for their discrimination potential. RESULTS: A gene set of 46 genes and six endogenous controls was selected representing six known PPGL subtypes; RTK1-3 (RET, NF1, TMEM127, and HRAS), MAX-like, VHL, and SDHx. Of 38 test cases, 34 (90%) were correctly predicted to six subtypes based on the known genotype to gene-expression subtype association. Removal of the RTK2 subtype from training, characterized by an admixture of tumor and normal adrenal cortex, improved the classification accuracy (35/38). Consolidation of RTK and pseudohypoxic PPGL subtypes to four- and then three-class architectures improved the classification accuracy for clinical application. CONCLUSIONS: The Pheo-type gene-expression assay is a reliable method for predicting PPGL genotype using routine diagnostic tumor samples.
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    Cousins not twins: intratumoural and intertumoural heterogeneity in syndromic neuroendocrine tumours
    Flynn, A ; Dwight, T ; Benn, D ; Deb, S ; Colebatch, AJ ; Fox, S ; Harris, J ; Duncan, EL ; Robinson, B ; Hogg, A ; Ellul, J ; To, H ; Cuong, D ; Miller, JA ; Yates, C ; James, P ; Trainer, A ; Gill, AJ ; Clifton-Bligh, R ; Hicks, RJ ; Tothill, RW (WILEY, 2017-07)
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    Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations
    Rebbeck, TR ; Friebel, TM ; Friedman, E ; Hamann, U ; Huo, D ; Kwong, A ; Olah, E ; Olopade, OI ; Solano, AR ; Teo, S-H ; Thomassen, M ; Weitzel, JN ; Chan, TL ; Couch, FJ ; Goldgar, DE ; Kruse, TA ; Palmero, EI ; Park, SK ; Torres, D ; van Rensburg, EJ ; McGuffog, L ; Parsons, MT ; Leslie, G ; Aalfs, CM ; Abugattas, J ; Adlard, J ; Agata, S ; Aittomaki, K ; Andrews, L ; Andrulis, IL ; Arason, A ; Arnold, N ; Arun, BK ; Asseryanis, E ; Auerbach, L ; Azzollini, J ; Balmana, J ; Barile, M ; Barkardottir, RB ; Barrowdale, D ; Benitez, J ; Berger, A ; Berger, R ; Blanco, AM ; Blazer, KR ; Blok, MJ ; Bonadona, V ; Bonanni, B ; Bradbury, AR ; Brewer, C ; Buecher, B ; Buys, SS ; Caldes, T ; Caliebe, A ; Caligo, MA ; Campbell, I ; Caputo, SM ; Chiquette, J ; Chung, WK ; Claes, KBM ; Collee, JM ; Cook, J ; Davidson, R ; de la Hoya, M ; De Leeneer, K ; de Pauw, A ; Delnatte, C ; Diez, O ; Ding, YC ; Ditsch, N ; Domchek, S ; Dorfling, CM ; Velazquez, C ; Dworniczak, B ; Eason, J ; Easton, DF ; Eeles, R ; Ehrencrona, H ; Ejlertsen, B ; Engel, C ; Engert, S ; Evans, DG ; Faivre, L ; Feliubadalo, L ; Ferrer, SF ; Foretova, L ; Fowler, J ; Frost, D ; Galvao, HCR ; Ganz, PA ; Garber, J ; Gauthier-Villars, M ; Gehrig, A ; Gerdes, A-M ; Gesta, P ; Giannini, G ; Giraud, S ; Glendon, G ; Godwin, AK ; Greene, MH ; Gronwald, J ; Gutierrez-Barrera, A ; Hahnen, E ; Hauke, J ; Henderson, A ; Hentschel, J ; Hogervorst, FBL ; Honisch, E ; Imyanitov, EN ; Isaacs, C ; Izatt, L ; Izquierdo, A ; Jakubowska, A ; James, P ; Janavicius, R ; Jensen, UB ; John, EM ; Vijai, J ; Kaczmarek, K ; Karlan, BY ; Kast, K ; Kim, S-W ; Konstantopoulou, I ; Korach, J ; Laitman, Y ; Lasa, A ; Lasset, C ; Lazaro, C ; Lee, A ; Lee, MH ; Lester, J ; Lesueur, F ; Liljegren, A ; Lindor, NM ; Longy, M ; Loud, JT ; Lu, KH ; Lubinski, J ; Machackova, E ; Manoukian, S ; Mari, V ; Martinez-Bouzas, C ; Matrai, Z ; Mebirouk, N ; Meijers-Heijboer, HEJ ; Meindl, A ; Mensenkamp, AR ; Mickys, U ; Miller, A ; Montagna, M ; Moysich, KB ; Mulligan, AM ; Musinsky, J ; Neuhausen, SL ; Nevanlinna, H ; Ngeow, J ; Nguyen, HP ; Niederacher, D ; Nielsen, HR ; Nielsen, FC ; Nussbaum, RL ; Offit, K ; Ofverholm, A ; Ong, K-R ; Osorio, A ; Papi, L ; Papp, J ; Pasini, B ; Pedersen, IS ; Peixoto, A ; Peruga, N ; Peterlongo, P ; Pohl, E ; Pradhan, N ; Prajzendanc, K ; Prieur, F ; Pujol, P ; Radice, P ; Ramus, SJ ; Rantala, J ; Rashid, MU ; Rhiem, K ; Robson, M ; Rodriguez, GC ; Rogers, MT ; Rudaitis, V ; Schmidt, AY ; Schmutzler, RK ; Senter, L ; Shah, PD ; Sharma, P ; Side, LE ; Simard, J ; Singer, CF ; Skytte, A-B ; Slavin, TP ; Snape, K ; Sobol, H ; Southey, M ; Steele, L ; Steinemann, D ; Sukiennicki, G ; Sutter, C ; Szabo, CI ; Tan, YY ; Teixeira, MR ; Terry, MB ; Teule, A ; Thomas, A ; Thull, DL ; Tischkowitz, M ; Tognazzo, S ; Toland, AE ; Topka, S ; Trainer, AH ; Tung, N ; van Asperen, CJ ; van der Hout, AH ; van der Kolk, LE ; van der Luijt, RB ; Van Heetvelde, M ; Varesco, L ; Varon-Mateeva, R ; Vega, A ; Villarreal-Garza, C ; von Wachenfeldt, A ; Walker, L ; Wang-Gohrke, S ; Wappenschmidt, B ; Weber, BHF ; Yannoukakos, D ; Yoon, S-Y ; Zanzottera, C ; Zidan, J ; Zorn, KK ; Selkirk, CGH ; Hulick, PJ ; Chenevix-Trench, G ; Spurdle, AB ; Antoniou, AC ; Nathanson, KL (WILEY-HINDAWI, 2018-05)
    The prevalence and spectrum of germline mutations in BRCA1 and BRCA2 have been reported in single populations, with the majority of reports focused on White in Europe and North America. The Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) has assembled data on 18,435 families with BRCA1 mutations and 11,351 families with BRCA2 mutations ascertained from 69 centers in 49 countries on six continents. This study comprehensively describes the characteristics of the 1,650 unique BRCA1 and 1,731 unique BRCA2 deleterious (disease-associated) mutations identified in the CIMBA database. We observed substantial variation in mutation type and frequency by geographical region and race/ethnicity. In addition to known founder mutations, mutations of relatively high frequency were identified in specific racial/ethnic or geographic groups that may reflect founder mutations and which could be used in targeted (panel) first pass genotyping for specific populations. Knowledge of the population-specific mutational spectrum in BRCA1 and BRCA2 could inform efficient strategies for genetic testing and may justify a more broad-based oncogenetic testing in some populations.
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    Identification of six new susceptibility loci for invasive epithelial ovarian cancer
    Kuchenbaecker, KB ; Ramus, SJ ; Tyrer, J ; Lee, A ; Shen, HC ; Beesley, J ; Lawrenson, K ; McGuffog, L ; Healey, S ; Lee, JM ; Spindler, TJ ; Lin, YG ; Pejovic, T ; Bean, Y ; Li, Q ; Coetzee, S ; Hazelett, D ; Miron, A ; Southey, M ; Terry, MB ; Goldgar, DE ; Buys, SS ; Janavicius, R ; Dorfling, CM ; van Rensburg, EJ ; Neuhausen, SL ; Ding, YC ; Hansen, TVO ; Jonson, L ; Gerdes, A-M ; Ejlertsen, B ; Barrowdale, D ; Dennis, J ; Benitez, J ; Osorio, A ; Garcia, MJ ; Komenaka, I ; Weitzel, JN ; Ganschow, P ; Peterlongo, P ; Bernard, L ; Viel, A ; Bonanni, B ; Peissel, B ; Manoukian, S ; Radice, P ; Papi, L ; Ottini, L ; Fostira, F ; Konstantopoulou, I ; Garber, J ; Frost, D ; Perkins, J ; Platte, R ; Ellis, S ; Godwin, AK ; Schmutzler, RK ; Meindl, A ; Engel, C ; Sutter, C ; Sinilnikova, OM ; Damiola, F ; Mazoyer, S ; Stoppa-Lyonnet, D ; Claes, K ; De Leeneer, K ; Kirk, J ; Rodriguez, GC ; Piedmonte, M ; O'Malley, DM ; de la Hoya, M ; Caldes, T ; Aittomaeki, K ; Nevanlinna, H ; Collee, JM ; Rookus, MA ; Oosterwijk, JC ; Tihomirova, L ; Tung, N ; Hamann, U ; Isaccs, C ; Tischkowitz, M ; Imyanitov, EN ; Caligo, MA ; Campbell, IG ; Hogervorst, FBL ; Olah, E ; Diez, O ; Blanco, I ; Brunet, J ; Lazaroso, C ; Angel Pujana, M ; Jakubowska, A ; Gronwald, J ; Lubinski, J ; Sukiennicki, G ; Barkardottir, RB ; Plante, M ; Simard, J ; Soucy, P ; Montagna, M ; Tognazzo, S ; Teixeira, MR ; Pankratz, VS ; Wang, X ; Lindor, N ; Szabo, CI ; Kauff, N ; Vijai, J ; Aghajanian, CA ; Pfeiler, G ; Berger, A ; Singer, CF ; Tea, M-K ; Phelan, CM ; Greene, MH ; Mai, PL ; Rennert, G ; Mulligan, AM ; Tchatchou, S ; Andrulis, IL ; Glendon, G ; Toland, AE ; Jensen, UB ; Kruse, TA ; Thomassen, M ; Bojesen, A ; Zidan, J ; Friedman, E ; Laitman, Y ; Soller, M ; Liljegren, A ; Arver, B ; Einbeigi, Z ; Stenmark-Askmalm, M ; Olopade, OI ; Nussbaum, RL ; Rebbeck, TR ; Nathanson, KL ; Domchek, SM ; Lu, KH ; Karlan, BY ; Walsh, C ; Lester, J ; Hein, A ; Ekici, AB ; Beckmann, MW ; Fasching, PA ; Lambrechts, D ; Van Nieuwenhuysen, E ; Vergote, I ; Lambrechts, S ; Dicks, E ; Doherty, JA ; Wicklund, KG ; Rossing, MA ; Rudolph, A ; Chang-Claude, J ; Wang-Gohrke, S ; Eilber, U ; Moysich, KB ; Odunsi, K ; Sucheston, L ; Lele, S ; Wilkens, LR ; Goodman, MT ; Thompson, PJ ; Shvetsov, YB ; Runnebaum, IB ; Duerst, M ; Hillemanns, P ; Doerk, T ; Antonenkova, N ; Bogdanova, N ; Leminen, A ; Pelttari, LM ; Butzow, R ; Modugno, F ; Kelley, JL ; Edwards, RP ; Ness, RB ; du Bois, A ; Heitz, F ; Schwaab, I ; Harter, P ; Matsuo, K ; Hosono, S ; Orsulic, S ; Jensen, A ; Kjaer, SK ; Hogdall, E ; Hasmad, HN ; Azmi, MAN ; Teo, S-H ; Woo, Y-L ; Fridley, BL ; Goode, EL ; Cunningham, JM ; Vierkant, RA ; Bruinsma, F ; Giles, GG ; Liang, D ; Hildebrandt, MAT ; Wu, X ; Levine, DA ; Bisogna, M ; Berchuck, A ; Iversen, ES ; Schildkraut, JM ; Concannon, P ; Weber, RP ; Cramer, DW ; Terry, KL ; Poole, EM ; Tworoger, SS ; Bandera, EV ; Orlow, I ; Olson, SH ; Krakstad, C ; Salvesen, HB ; Tangen, IL ; Bjorge, L ; van Altena, AM ; Aben, KKH ; Kiemeney, LA ; Massuger, LFAG ; Kellar, M ; Brooks-Wilson, A ; Kelemen, LE ; Cook, LS ; Le, ND ; Cybulski, C ; Yang, H ; Lissowska, J ; Brinton, LA ; Wentzensen, N ; Hogdall, C ; Lundvall, L ; Nedergaard, L ; Baker, H ; Song, H ; Eccles, D ; McNeish, I ; Paul, J ; Carty, K ; Siddiqui, N ; Glasspool, R ; Whittemore, AS ; Rothstein, JH ; McGuire, V ; Sieh, W ; Ji, B-T ; Zheng, W ; Shu, X-O ; Gao, Y-T ; Rosen, B ; Risch, HA ; McLaughlin, JR ; Narod, SA ; Monteiro, AN ; Chen, A ; Lin, H-Y ; Permuth-Wey, J ; Sellers, TA ; Tsai, Y-Y ; Chen, Z ; Ziogas, A ; Anton-Culver, H ; Gentry-Maharaj, A ; Menon, U ; Harrington, P ; Lee, AW ; Wu, AH ; Pearce, CL ; Coetzee, G ; Pike, MC ; Dansonka-Mieszkowska, A ; Timorek, A ; Rzepecka, IK ; Kupryjanczyk, J ; Freedman, M ; Noushmehr, H ; Easton, DF ; Offit, K ; Couch, FJ ; Gayther, S ; Pharoah, PP ; Antoniou, AC ; Chenevix-Trench, G (NATURE PORTFOLIO, 2015-02)
    Genome-wide association studies (GWAS) have identified 12 epithelial ovarian cancer (EOC) susceptibility alleles. The pattern of association at these loci is consistent in BRCA1 and BRCA2 mutation carriers who are at high risk of EOC. After imputation to 1000 Genomes Project data, we assessed associations of 11 million genetic variants with EOC risk from 15,437 cases unselected for family history and 30,845 controls and from 15,252 BRCA1 mutation carriers and 8,211 BRCA2 mutation carriers (3,096 with ovarian cancer), and we combined the results in a meta-analysis. This new study design yielded increased statistical power, leading to the discovery of six new EOC susceptibility loci. Variants at 1p36 (nearest gene, WNT4), 4q26 (SYNPO2), 9q34.2 (ABO) and 17q11.2 (ATAD5) were associated with EOC risk, and at 1p34.3 (RSPO1) and 6p22.1 (GPX6) variants were specifically associated with the serous EOC subtype, all with P < 5 × 10(-8). Incorporating these variants into risk assessment tools will improve clinical risk predictions for BRCA1 and BRCA2 mutation carriers.
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    COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration
    Southey, MC ; Park, DJ ; Nguyen-Dumont, T ; Campbell, I ; Thompson, E ; Trainer, AH ; Chenevix-Trench, G ; Simard, J ; Dumont, M ; Soucy, P ; Thomassen, M ; Jonson, L ; Pedersen, IS ; Hansen, TVO ; Nevanlinna, H ; Khan, S ; Sinilnikova, O ; Mazoyer, S ; Lesueur, F ; Damiola, F ; Schmutzler, R ; Meindl, A ; Hahnen, E ; Dufault, MR ; Chan, TC ; Kwong, A ; Barkardottir, R ; Radice, P ; Peterlongo, P ; Devilee, P ; Hilbers, F ; Benitez, J ; Kvist, A ; Torngren, T ; Easton, D ; Hunter, D ; Lindstrom, S ; Kraft, P ; Zheng, W ; Gao, Y-T ; Long, J ; Ramus, S ; Feng, B-J ; Weitzel, RN ; Nathanson, K ; Offit, K ; Joseph, V ; Robson, M ; Schrader, K ; Wang, SM ; Kim, YC ; Lynch, H ; Snyder, C ; Tavtigian, S ; Neuhausen, S ; Couch, FJ ; Goldgar, DE (BMC, 2013)
    Linkage analysis, positional cloning, candidate gene mutation scanning and genome-wide association study approaches have all contributed significantly to our understanding of the underlying genetic architecture of breast cancer. Taken together, these approaches have identified genetic variation that explains approximately 30% of the overall familial risk of breast cancer, implying that more, and likely rarer, genetic susceptibility alleles remain to be discovered.
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    Exome Sequencing Identifies Rare Deleterious Mutations in DNA Repair Genes FANCC and BLM as Potential Breast Cancer Susceptibility Alleles
    Thompson, ER ; Doyle, MA ; Ryland, GL ; Rowley, SM ; Choong, DYH ; Tothill, RW ; Thorne, H ; Barnes, DR ; Li, J ; Ellul, J ; Philip, GK ; Antill, YC ; James, PA ; Trainer, AH ; Mitchell, G ; Campbell, IG ; Horwitz, MS (PUBLIC LIBRARY SCIENCE, 2012-09)
    Despite intensive efforts using linkage and candidate gene approaches, the genetic etiology for the majority of families with a multi-generational breast cancer predisposition is unknown. In this study, we used whole-exome sequencing of thirty-three individuals from 15 breast cancer families to identify potential predisposing genes. Our analysis identified families with heterozygous, deleterious mutations in the DNA repair genes FANCC and BLM, which are responsible for the autosomal recessive disorders Fanconi Anemia and Bloom syndrome. In total, screening of all exons in these genes in 438 breast cancer families identified three with truncating mutations in FANCC and two with truncating mutations in BLM. Additional screening of FANCC mutation hotspot exons identified one pathogenic mutation among an additional 957 breast cancer families. Importantly, none of the deleterious mutations were identified among 464 healthy controls and are not reported in the 1,000 Genomes data. Given the rarity of Fanconi Anemia and Bloom syndrome disorders among Caucasian populations, the finding of multiple deleterious mutations in these critical DNA repair genes among high-risk breast cancer families is intriguing and suggestive of a predisposing role. Our data demonstrate the utility of intra-family exome-sequencing approaches to uncover cancer predisposition genes, but highlight the major challenge of definitively validating candidates where the incidence of sporadic disease is high, germline mutations are not fully penetrant, and individual predisposition genes may only account for a tiny proportion of breast cancer families.
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    Prevalence of PALB2 mutations in Australian familial breast cancer cases and controls
    Thompson, ER ; Gorringe, KL ; Rowley, SM ; Wong-Brown, MW ; McInerny, S ; Li, N ; Trainer, AH ; Devereux, L ; Doyle, MA ; Li, J ; Lupat, R ; Delatycki, MB ; Mitchell, G ; James, PA ; Scott, RJ ; Campbell, IG (BMC, 2015-08-19)
    INTRODUCTION: PALB2 is emerging as a high-penetrance breast cancer predisposition gene in the order of BRCA1 and BRCA2. However, large studies that have evaluated the full gene rather than just the most common variants in both cases and controls are required before all truncating variants can be included in familial breast cancer variant testing. METHODS: In this study we analyse almost 2000 breast cancer cases sourced from individuals referred to familial cancer clinics, thus representing typical cases presenting in clinical practice. These cases were compared to a similar number of population-based cancer-free controls. RESULTS: We identified a significant excess of truncating variants in cases (1.3 %) versus controls (0.2 %), including six novel variants (p = 0.0001; odds ratio (OR) 6.58, 95 % confidence interval (CI) 2.3-18.9). Three of the four control individuals carrying truncating variants had at least one relative with breast cancer. There was no excess of missense variants in cases overall, but the common c.1676A > G variant (rs152451) was significantly enriched in cases and may represent a low-penetrance polymorphism (p = 0.002; OR 1.24 (95 % CI 1.09-1.47). CONCLUSIONS: Our findings support truncating variants in PALB2 as high-penetrance breast cancer susceptibility alleles, and suggest that a common missense variant may also lead to a low level of increased breast cancer risk.
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    Reevaluation of the BRCA2 truncating allele c.9976A > T (p.Lys3326Ter) in a familial breast cancer context
    Thompson, ER ; Gorringe, KL ; Rowley, SM ; Li, N ; McInerny, S ; Wong-Brown, MW ; Devereux, L ; Li, J ; Trainer, AH ; Mitchell, G ; Scott, RJ ; James, PA ; Campbell, IG (NATURE PORTFOLIO, 2015-10-12)
    The breast cancer predisposition gene, BRCA2, has a large number of genetic variants of unknown effect. The variant rs11571833, an A > T transversion in the final exon of the gene that leads to the creation of a stop codon 93 amino acids early (K3326*), is reported as a neutral polymorphism but there is some evidence to suggest an association with an increased risk of breast cancer. We assessed whether this variant was enriched in a cohort of breast cancer cases ascertained through familial cancer clinics compared to population-based non-cancer controls using a targeted sequencing approach. We identified the variant in 66/2634 (2.5%) cases and 33/1996 (1.65%) controls, indicating an enrichment in the breast cancer cases (p = 0.047, OR 1.53, 95% CI 1.00-2.34). This data is consistent with recent iCOGs data suggesting that this variant is not neutral with respect to breast cancer risk. rs11571833 may need to be included in SNP panels for evaluating breast cancer risk.
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    Homologous recombination DNA repair defects in PALB2-associated breast cancers
    Li, A ; Geyer, FC ; Blecua, P ; Lee, JY ; Selenica, P ; Brown, DN ; Pareja, F ; Lee, SSK ; Kumar, R ; Rivera, B ; Bi, R ; Piscuoglio, S ; Wen, HY ; Lozada, JR ; Gularte-Merida, R ; Cavallone, L ; Rezoug, Z ; Nguyen-Dumont, T ; Peterlongo, P ; Tondini, C ; Terkelsen, T ; Ronlund, K ; Boonen, SE ; Mannerma, A ; Winqvist, R ; Janatova, M ; Rajadurai, P ; Xia, B ; Norton, L ; Robson, ME ; Ng, P-S ; Looi, L-M ; Southey, MC ; Weigelt, B ; Soo-Hwang, T ; Tischkowitz, M ; Foulkes, WD ; Reis-Filho, JS ; Aghmesheh, M ; Amor, D ; Andrews, L ; Antill, Y ; Balleine, R ; Beesley, J ; Blackburn, A ; Bogwitz, M ; Brown, M ; Burgess, M ; Burke, J ; Butow, P ; Caldon, L ; Campbell, I ; Christian, A ; Clarke, C ; Cohen, P ; Crook, A ; Cui, J ; Cummings, M ; Dawson, S-J ; De Fazio, A ; Delatycki, M ; Dobrovic, A ; Dudding, T ; Duijf, P ; Edkins, E ; Edwards, S ; Farshid, G ; Fellows, A ; Field, M ; Flanagan, J ; Fong, P ; Forbes, J ; Forrest, L ; Fox, S ; French, J ; Friedlander, M ; Ortega, DG ; Gattas, M ; Giles, G ; Gill, G ; Gleeson, M ; Greening, S ; Haan, E ; Harris, M ; Hayward, N ; Hickie, I ; Hopper, J ; Hunt, C ; James, P ; Jenkins, M ; Kefford, R ; Kentwell, M ; Kirk, J ; Kollias, J ; Lakhani, S ; Lindeman, G ; Lipton, L ; Lobb, L ; Lok, S ; Macrea, F ; Mane, G ; Marsh, D ; Mclachlan, S-A ; Meiser, B ; Milne, R ; Nightingale, S ; O'Connell, S ; Pachter, N ; Patterson, B ; Phillips, K ; Saleh, M ; Salisbury, E ; Saunders, C ; Saunus, J ; Scott, C ; Scott, R ; Sexton, A ; Shelling, A ; Simpson, P ; Spigelman, A ; Spurdle, M ; Stone, J ; Taylor, J ; Thorne, H ; Trainer, A ; Trench, G ; Tucker, K ; Visvader, J ; Walker, L ; Wallis, M ; Williams, R ; Winship, I ; Wu, K ; Young, MA (NATURE PUBLISHING GROUP, 2019-08-08)
    Mono-allelic germline pathogenic variants in the Partner And Localizer of BRCA2 (PALB2) gene predispose to a high-risk of breast cancer development, consistent with the role of PALB2 in homologous recombination (HR) DNA repair. Here, we sought to define the repertoire of somatic genetic alterations in PALB2-associated breast cancers (BCs), and whether PALB2-associated BCs display bi-allelic inactivation of PALB2 and/or genomic features of HR-deficiency (HRD). Twenty-four breast cancer patients with pathogenic PALB2 germline mutations were analyzed by whole-exome sequencing (WES, n = 16) or targeted capture massively parallel sequencing (410 cancer genes, n = 8). Somatic genetic alterations, loss of heterozygosity (LOH) of the PALB2 wild-type allele, large-scale state transitions (LSTs) and mutational signatures were defined. PALB2-associated BCs were found to be heterogeneous at the genetic level, with PIK3CA (29%), PALB2 (21%), TP53 (21%), and NOTCH3 (17%) being the genes most frequently affected by somatic mutations. Bi-allelic PALB2 inactivation was found in 16 of the 24 cases (67%), either through LOH (n = 11) or second somatic mutations (n = 5) of the wild-type allele. High LST scores were found in all 12 PALB2-associated BCs with bi-allelic PALB2 inactivation sequenced by WES, of which eight displayed the HRD-related mutational signature 3. In addition, bi-allelic inactivation of PALB2 was significantly associated with high LST scores. Our findings suggest that the identification of bi-allelic PALB2 inactivation in PALB2-associated BCs is required for the personalization of HR-directed therapies, such as platinum salts and/or PARP inhibitors, as the vast majority of PALB2-associated BCs without PALB2 bi-allelic inactivation lack genomic features of HRD.
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    Development and validation of a targeted gene sequencing panel for application to disparate cancers
    McCabe, MJ ; Gauthier, M-EA ; Chan, C-L ; Thompson, TJ ; De Sousa, SMC ; Puttick, C ; Grady, JP ; Gayevskiy, V ; Tao, J ; Ying, K ; Cipponi, A ; Deng, N ; Swarbrick, A ; Thomas, ML ; kConFab, ; Lord, RV ; Johns, AL ; Kohonen-Corish, M ; O'Toole, SA ; Clark, J ; Mueller, SA ; Gupta, R ; McCormack, AI ; Dinger, ME ; Cowley, MJ (Nature Publishing Group, 2019-11-19)
    Next generation sequencing has revolutionised genomic studies of cancer, having facilitated the development of precision oncology treatments based on a tumour's molecular profile. We aimed to develop a targeted gene sequencing panel for application to disparate cancer types with particular focus on tumours of the head and neck, plus test for utility in liquid biopsy. The final panel designed through Roche/Nimblegen combined 451 cancer-associated genes (2.01 Mb target region). 136 patient DNA samples were collected for performance and application testing. Panel sensitivity and precision were measured using well-characterised DNA controls (n = 47), and specificity by Sanger sequencing of the Aryl Hydrocarbon Receptor Interacting Protein (AIP) gene in 89 patients. Assessment of liquid biopsy application employed a pool of synthetic circulating tumour DNA (ctDNA). Library preparation and sequencing were conducted on Illumina-based platforms prior to analysis with our accredited (ISO15189) bioinformatics pipeline. We achieved a mean coverage of 395x, with sensitivity and specificity of >99% and precision of >97%. Liquid biopsy revealed detection to 1.25% variant allele frequency. Application to head and neck tumours/cancers resulted in detection of mutations aligned to published databases. In conclusion, we have developed an analytically-validated panel for application to cancers of disparate types with utility in liquid biopsy.