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14 results on '"Margaret, Cummings"'

1. Development of a Multi-Institutional Prediction Model for Three-Year Survival Status in Patients with Uterine Leiomyosarcoma (AGOG11-022/QCGC1302 Study)

Author

Ka-Yu Tse, Richard Wing-Cheuk Wong, Angel Chao, Shir-Hwa Ueng, Lan-Yan Yang, Margaret Cummings, Deborah Smith, Chiung-Ru Lai, Hei-Yu Lau, Ming-Shyen Yen, Annie Nga-Yin Cheung, Charlotte Ka-Lun Leung, Kit-Sheung Chan, Alice Ngot-Htain Chan, Wai-Hon Li, Carmen Ka-Man Choi, Wai-Mei Pong, Hoi-Fong Hui, Judy Ying-Wah Yuk, Hung Yao, Nancy Wah-Fun Yuen, Andreas Obermair, Chyong-Huey Lai, Philip Pun-Ching Ip, and Hextan Yuen-Sheung Ngan

Subjects
uterine leiomyosarcoma, prediction model, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: The existing staging systems of uterine leiomyosarcoma (uLMS) cannot classify the patients into four non-overlapping prognostic groups. This study aimed to develop a prediction model to predict the three-year survival status of uLMS. Methods: In total, 201 patients with uLMS who had been treated between June 1993 and January 2014, were analyzed. Potential prognostic indicators were identified by univariate models followed by multivariate analyses. Prediction models were constructed by binomial regression with 3-year survival status as a binary outcome, and the final model was validated by internal cross-validation. Results: Nine potential parameters, including age, log tumor diameter, log mitotic count, cervical involvement, parametrial involvement, lymph node metastasis, distant metastasis, tumor circumscription and lymphovascular space invasion were identified. 110 patients had complete data to build the prediction models. Age, log tumor diameter, log mitotic count, distant metastasis, and circumscription were significantly correlated with the 3-year survival status. The final model with the lowest Akaike’s Information Criterion (117.56) was chosen and the cross validation estimated prediction accuracy was 0.745. Conclusion: We developed a prediction model for uLMS based on five readily available clinicopathologic parameters. This might provide a personalized prediction of the 3-year survival status and guide the use of adjuvant therapy, a cancer surveillance program, and future studies.

Published
2021
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2. BRCA1 and BRCA2 carriers with breast, ovarian and prostate cancer demonstrate a different pattern of metastatic disease compared with non‐carriers: results from a rapid autopsy programme

Author

Heather Thorne, Lisa Devereux, Jason Li, Kathryn Alsop, Liz Christie, Courtney T van Geelen, Nikki Burdett, Kathleen I Pishas, Noel Woodford, Jodie Leditschke, Mohamed H M A Izzath, Kate Strachan, Gregory Young, Rufaro D Jaravaza, Mohammed S Madadin, Melanie Archer, Joanna Glengarry, Linda Iles, Ajith Rathnaweera, Clare Hampson, Khamis Almazrooei, Michael Burke, Pradeep Bandara, David Ranson, Essa Saeedi, Orla McNally, Linda Mileshkin, Anne Hamilton, Sumitra Ananda, George Au‐Yeung, Yoland Antill, Shahneen Sandhu, Peter Savas, Prudence A Francis, Stephen Luen, Sherene Loi, Ross Jennens, Clare Scott, Kate Moodie, Margaret Cummings, Andrew Reid, Amy McCart Reed, David Bowtell, Sunil R Lakhani, and Stephen Fox

Subjects
Histology, General Medicine, Pathology and Forensic Medicine
Published
2023

3. The Q-IMPROvE (Queensland-IMplementation of PRecision Oncology in brEast cancer) pilot study

Author

Amy E McCart Reed, Therese McCurry, Georgina Hollway, Haidar Al-Saig, Vladimir Andelkovic, Katharine Cuff, Margaret Cummings, David Fairbairn, Po-ling Inglis, Gillian Jagger, Helene Johanson, Lauren Kalinowski, Olga Kondrashova, Lambros T. Koufariotis, Anna Kuchel, Rahul Ladwa, Chiyan Lau, Ben Lundie, Helen Mar Fan, Nicole McCarthy, Kathryn Middleton, Kowsalya Murugappan, Mark Nalder, Colleen Niland, Michelle K Nottage, Kenneth J O’Byrne, John V Pearson, Kate Roberts, Gorane Santamaria Hormaechea, Cameron Snell, Karin Steinke, Aneta Suder, Diana Tam, Euan Walpole, Natasha Woodward, Clement Wong, Ho Yi Wong, Wen Xu, Peter T Simpson, Nicola Waddell, and Sunil R Lakhani

Abstract

BackgroundThe cancer genomics field has embraced the advent of precision oncology, and vast volumes of data have been mined for biomarkers of drug actionability. While some cancers, such as lung cancer, have detailed panels of actionable genomic biomarkers, sequencing panels have been less useful in breast cancer given its large number of cancer driver genes mutated at a relatively low frequency. Furthermore, mutation signatures have potential to assist in identifying homologous recombination deficient tumours for targeting with PARP inhibitor therapy.Patients and MethodsTo investigate whether whole genome sequencing could benefit breast cancer patients we initiated the Q-IMPROvE (Queensland-IMplementation of PRecision Oncology in brEast cancer) prospective pilot study. We report the analysis of matched tumour and normal genomes of 28 high-risk breast cancer patients undergoing treatment in the neo-adjuvant setting.ResultsUsing whole genome sequencing, we detected actionable events that would otherwise not have been identified. A quarter of patients demonstrated a defect in homologous recombination DNA repair using the HRDetect and HRD scores. Germline variants of importance (BRCA1, CHEK2) were identified in two patients that did not meet clinical guidelines for germline genetic testing. Somatically,TP53andPIK3CAwere the most commonly mutated breast cancer driver genes.ConclusionsWe have demonstrated the benefit of whole genome sequencing of both the tumour and germline for breast cancer patients otherwise not meeting clinical criteria for genetic health referrals.

Published
2023

4. The impact of coding germline variants on contralateral breast cancer risk and survival

Author

Anna Morra, Nasim Mavaddat, Taru A. Muranen, Thomas U. Ahearn, Jamie Allen, Irene L. Andrulis, Päivi Auvinen, Heiko Becher, Sabine Behrens, Carl Blomqvist, Stig E. Bojesen, Manjeet K. Bolla, Hiltrud Brauch, Nicola J. Camp, Sara Carvalho, Jose E. Castelao, Melissa H. Cessna, Jenny Chang-Claude, Georgia Chenevix-Trench, Kamila Czene, Brennan Decker, Joe Dennis, Thilo Dörk, Leila Dorling, Alison M. Dunning, Arif B. Ekici, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Jonine D. Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, Willemina R.R. Geurts-Giele, Graham G. Giles, Pascal Guénel, Melanie Gündert, Eric Hahnen, Per Hall, Ute Hamann, Patricia A. Harrington, Wei He, Päivi Heikkilä, Maartje J. Hooning, Reiner Hoppe, Anthony Howell, Keith Humphreys, Anna Jakubowska, Audrey Y. Jung, Renske Keeman, Vessela N. Kristensen, Jan Lubiński, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, Dimitrios Mavroudis, Roger L. Milne, Anna Marie Mulligan, William G. Newman, Tjoung-Won Park-Simon, Paolo Peterlongo, Paul D.P. Pharoah, Valerie Rhenius, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Mitul Shah, Amanda B. Spurdle, Ian Tomlinson, Thérèse Truong, Elke M. van Veen, Maaike P.G. Vreeswijk, Qin Wang, Camilla Wendt, Xiaohong R. Yang, Heli Nevanlinna, Peter Devilee, Douglas F. Easton, Marjanka K. Schmidt, Kristine K. Sahlberg, Anne-Lise Børresen-Dale, Inger Torhild Gram, Karina Standahl Olsen, Olav Engebråten, Bjørn Naume, Jürgen Geisler, null OSBREAC, Grethe I. Grenaker Alnæs, David Amor, Lesley Andrews, Yoland Antill, Rosemary Balleine, Jonathan Beesley, Ian Bennett, Michael Bogwitz, Leon Botes, Meagan Brennan, Melissa Brown, Michael Buckley, Jo Burke, Phyllis Butow, Liz Caldon, Ian Campbell, Michelle Cao, Anannya Chakrabarti, Deepa Chauhan, Manisha Chauhan, Alice Christian, Paul Cohen, Alison Colley, Ashley Crook, James Cui, Eliza Courtney, Margaret Cummings, Sarah-Jane Dawson, Anna DeFazio, Martin Delatycki, Rebecca Dickson, Joanne Dixon, Ted Edkins, Stacey Edwards, Gelareh Farshid, Andrew Fellows, Georgina Fenton, Michael Field, James Flanagan, Peter Fong, Laura Forrest, Stephen Fox, Juliet French, Michael Friedlander, Clara Gaff, Mike Gattas, Peter George, Sian Greening, Marion Harris, Stewart Hart, Nick Hayward, John Hopper, Cass Hoskins, Clare Hunt, Paul James, Mark Jenkins, Alexa Kidd, Judy Kirk, Jessica Koehler, James Kollias, Sunil Lakhani, Mitchell Lawrence, Jason Lee, Shuai Li, Geoff Lindeman, Lara Lipton, Liz Lobb, Sherene Loi, Graham Mann, Deborah Marsh, Sue Anne McLachlan, Bettina Meiser, Roger Milne, Sophie Nightingale, Shona O'Connell, Sarah O'Sullivan, David Gallego Ortega, Nick Pachter, Jia-Min Pang, Gargi Pathak, Briony Patterson, Amy Pearn, Kelly Phillips, Ellen Pieper, Susan Ramus, Edwina Rickard, Bridget Robinson, Mona Saleh, Anita Skandarajah, Elizabeth Salisbury, Christobel Saunders, Jodi Saunus, Rodney Scott, Clare Scott, Adrienne Sexton, Andrew Shelling, Peter Simpson, Melissa Southey, Amanda Spurdle, Jessica Taylor, Renea Taylor, Heather Thorne, Alison Trainer, Kathy Tucker, Jane Visvader, Logan Walker, Rachael Williams, Ingrid Winship, Mary Ann Young, and Milita Zaheed

Subjects
Genetics, Genetics (clinical)
Abstract

Evidence linking coding germline variants in breast cancer (BC)-susceptibility genes other than BRCA1, BRCA2, and CHEK2 with contralateral breast cancer (CBC) risk and breast cancer-specific survival (BCSS) is scarce. The aim of this study was to assess the association of protein-truncating variants (PTVs) and rare missense variants (MSVs) in nine known (ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, RAD51D, and TP53) and 25 suspected BC-susceptibility genes with CBC risk and BCSS. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated with Cox regression models. Analyses included 34,401 women of European ancestry diagnosed with BC, including 676 CBCs and 3,449 BC deaths; the median follow-up was 10.9 years. Subtype analyses were based on estrogen receptor (ER) status of the first BC. Combined PTVs and pathogenic/likely pathogenic MSVs in BRCA1, BRCA2, and TP53 and PTVs in CHEK2 and PALB2 were associated with increased CBC risk [HRs (95% CIs): 2.88 (1.70-4.87), 2.31 (1.39-3.85), 8.29 (2.53-27.21), 2.25 (1.55-3.27), and 2.67 (1.33-5.35), respectively]. The strongest evidence of association with BCSS was for PTVs and pathogenic/likely pathogenic MSVs in BRCA2 (ER-positive BC) and TP53 and PTVs in CHEK2 [HRs (95% CIs): 1.53 (1.13-2.07), 2.08 (0.95-4.57), and 1.39 (1.13-1.72), respectively, after adjusting for tumor characteristics and treatment]. HRs were essentially unchanged when censoring for CBC, suggesting that these associations are not completely explained by increased CBC risk, tumor characteristics, or treatment. There was limited evidence of associations of PTVs and/or rare MSVs with CBC risk or BCSS for the 25 suspected BC genes. The CBC findings are relevant to treatment decisions, follow-up, and screening after BC diagnosis.

Published
2023

5. Undifferentiated uterine sarcoma: a multidisciplinary challenge

Author

Emma R Allanson, Margaret Cummings, Anna Kuchel, Timothy Wastney, and Jim Nicklin

Subjects
Lung Neoplasms, Oncology, Sarcoma, Endometrial Stromal, Palliative Care, Uterine Neoplasms, Humans, Obstetrics and Gynecology, Female, Middle Aged
Published
2022

6. Heterogeneous Chromosomal Aberrations in Intraductal Breast Lesions Adjacent to Invasive Carcinoma

Author

Michaela Aubele, Margaret Cummings, Axel Walch, Horst Zitzelsberger, Jörg Nährig, Heinz Höfler, and Martin Werner

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671
Abstract

There is evidence that breast cancer is a heterogeneous disease phenotypically as well as molecular biologically. So far, heterogeneity on the molecular biological level has not been investigated in potential precursor lesions, such as ductal hyperplasia (DH) and ductal carcinoma in situ (DCIS). In this study we applied comparative genomic hybridization (CGH) to formalin‐fixed, paraffin‐embedded breast tissue with DH and DCIS, adjacent to invasive ductal carcinoma (IDC), to screen these potential precursor lesions for whole genomic chromosomal imbalances. Laser‐microdissection was used to select pure cell populations from the sections. Isolated DNA was amplified by degenerate oligonucleotide primed PCR (DOP‐PCR) and further processed for CGH analysis.

Published
2000
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7. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk

Author

Iris Kramer, Maartje J. Hooning, Nasim Mavaddat, Michael Hauptmann, Renske Keeman, Ewout W. Steyerberg, Daniele Giardiello, Antonis C. Antoniou, Paul D.P. Pharoah, Sander Canisius, Zumuruda Abu-Ful, Irene L. Andrulis, Hoda Anton-Culver, Kristan J. Aronson, Annelie Augustinsson, Heiko Becher, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Hiltrud Brauch, Michael Bremer, Sara Y. Brucker, Barbara Burwinkel, Jose E. Castelao, Tsun L. Chan, Jenny Chang-Claude, Stephen J. Chanock, Georgia Chenevix-Trench, Ji-Yeob Choi, Christine L. Clarke, J. Margriet Collée, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Isabel dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Manuela Gago-Dominguez, Montserrat García-Closas, José A. García-Sáenz, Graham G. Giles, David E. Goldgar, Anna González-Neira, Christopher A. Haiman, Niclas Håkansson, Ute Hamann, Mikael Hartman, Bernadette A.M. Heemskerk-Gerritsen, Antoinette Hollestelle, John L. Hopper, Ming-Feng Hou, Anthony Howell, Hidemi Ito, Milena Jakimovska, Anna Jakubowska, Wolfgang Janni, Esther M. John, Audrey Jung, Daehee Kang, C. Marleen Kets, Elza Khusnutdinova, Yon-Dschun Ko, Vessela N. Kristensen, Allison W. Kurian, Ava Kwong, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Annika Lindblom, Jan Lubiński, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Dimitrios Mavroudis, Alfons Meindl, Roger L. Milne, Anna Marie Mulligan, Taru A. Muranen, Susan L. Neuhausen, Heli Nevanlinna, William G. Newman, Andrew F. Olshan, Janet E. Olson, Håkan Olsson, Tjoung-Won Park-Simon, Julian Peto, Christos Petridis, Dijana Plaseska-Karanfilska, Nadege Presneau, Katri Pylkäs, Paolo Radice, Gad Rennert, Atocha Romero, Rebecca Roylance, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Lukas Schwentner, Christopher Scott, Mee-Hoong See, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Sabine Siesling, Susan Slager, Christof Sohn, Melissa C. Southey, John J. Spinelli, Jennifer Stone, William J. Tapper, Maria Tengström, Soo Hwang Teo, Mary Beth Terry, Rob A.E.M. Tollenaar, Ian Tomlinson, Melissa A. Troester, Celine M. Vachon, Chantal van Ongeval, Elke M. van Veen, Robert Winqvist, Alicja Wolk, Wei Zheng, Argyrios Ziogas, Douglas F. Easton, Per Hall, Marjanka K. Schmidt, Anne-Lise Børresen-Dale, Kristine Sahlberg, Lars Ottestad, Rolf Kåresen, Ellen Schlichting, Marit Muri Holmen, Toril Sauer, Vilde Haakensen, Olav Engebråten, Bjørn Naume, Alexander Fosså, Cecile Kiserud, Kristin Reinertsen, Åslaug Helland, Margit Riis, Jürgen Geisler, Grethe Grenaker Alnæs, Christine Clarke, Deborah Marsh, Rodney Scott, Robert Baxter, Desmond Yip, Jane Carpenter, Alison Davis, Nirmala Pathmanathan, Peter Simpson, J. Dinny Graham, Mythily Sachchithananthan, David Amor, Lesley Andrews, Yoland Antill, Rosemary Balleine, Jonathan Beesley, Ian Bennett, Michael Bogwitz, Leon Botes, Meagan Brennan, Melissa Brown, Michael Buckley, Jo Burke, Phyllis Butow, Liz Caldon, Ian Campbell, Deepa Chauhan, Manisha Chauhan, Alice Christian, Paul Cohen, Alison Colley, Ashley Crook, James Cui, Margaret Cummings, Sarah-Jane Dawson, Anna deFazio, Martin Delatycki, Rebecca Dickson, Joanne Dixon, Ted Edkins, Stacey Edwards, Gelareh Farshid, Andrew Fellows, Georgina Fenton, Michael Field, James Flanagan, Peter Fong, Laura Forrest, Stephen Fox, Juliet French, Michael Friedlander, Clara Gaff, Mike Gattas, Peter George, Sian Greening, Marion Harris, Stewart Hart, Nick Hayward, John Hopper, Cass Hoskins, Clare Hunt, Paul James, Mark Jenkins, Alexa Kidd, Judy Kirk, Jessica Koehler, James Kollias, Sunil Lakhani, Mitchell Lawrence, Geoff Lindeman, Lara Lipton, Liz Lobb, Graham Mann, Sue Anne McLachlan, Bettina Meiser, Roger Milne, Sophie Nightingale, Shona O'Connell, Sarah O'Sullivan, David Gallego Ortega, Nick Pachter, Briony Patterson, Amy Pearn, Kelly Phillips, Ellen Pieper, Edwina Rickard, Bridget Robinson, Mona Saleh, Elizabeth Salisbury, Christobel Saunders, Jodi Saunus, Clare Scott, Adrienne Sexton, Andrew Shelling, Melissa Southey, Amanda Spurdle, Jessica Taylor, Renea Taylor, Heather Thorne, Alison Trainer, Kathy Tucker, Jane Visvader, Logan Walker, Rachael Williams, Ingrid Winship, Mary Ann Young, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, University of Helsinki, Medical Oncology, Public Health, Clinical Genetics, TechMed Centre, and Health Technology & Services Research

Subjects
0301 basic medicine, Oncology, Multifactorial Inheritance, PROGNOSIS, Receptor, ErbB-2, LOCI, Gene Expression, Medical and Health Sciences, Cohort Studies, 0302 clinical medicine, ErbB-2, Neoplasms, Receptors, Genetics (clinical), Progesterone, Cancer, Genetics & Heredity, Genome, Manchester Cancer Research Centre, Confounding, Hazard ratio, 1184 Genetics, developmental biology, physiology, Neoplasms, Second Primary, Biological Sciences, Middle Aged, Prognosis, Primary tumor, Neoadjuvant Therapy, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Second Primary, 030220 oncology & carcinogenesis, contralateral breast cancer, kConFab Investigators, epidemiology, Female, Risk assessment, Receptors, Progesterone, Life Sciences & Biomedicine, Cohort study, Receptor, Human, Adult, medicine.medical_specialty, ABCTB Investigators, Breast Neoplasms, Risk Assessment, White People, Article, NBCS Collaborators, 03 medical and health sciences, Breast cancer, AGE, SDG 3 - Good Health and Well-being, Asian People, Internal medicine, Breast Cancer, parasitic diseases, Genetics, medicine, Adjuvant therapy, Humans, Genetic Predisposition to Disease, Aged, Proportional Hazards Models, Science & Technology, business.industry, Proportional hazards model, Genome, Human, ResearchInstitutes_Networks_Beacons/mcrc, Prevention, 22/2 OA procedure, Estrogen Receptor alpha, medicine.disease, ASSOCIATION ANALYSIS, 030104 developmental biology, polygenic risk score, genetic, business, Genome-Wide Association Study
Abstract

Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies. ispartof: AMERICAN JOURNAL OF HUMAN GENETICS vol:107 issue:5 pages:837-848 ispartof: location:United States status: published

Published
2020

8. Looking beyond human papillomavirus (HPV) genotype 16 and 18: Defining HPV genotype distribution in cervical cancers in Australia prior to vaccination

Author

Julia M L, Brotherton, Sepehr N, Tabrizi, Samuel, Phillips, Jan, Pyman, Alyssa M, Cornall, Neil, Lambie, Lyndal, Anderson, Margaret, Cummings, Diane, Payton, James P, Scurry, Marsali, Newman, Raghwa, Sharma, Marion, Saville, and Suzanne M, Garland

Subjects
Adult, Aged, 80 and over, Human papillomavirus 16, Genotype, Human papillomavirus 18, Papillomavirus Infections, Australia, Uterine Cervical Neoplasms, Middle Aged, Young Adult, DNA, Viral, Carcinoma, Squamous Cell, Humans, Female, Papillomavirus Vaccines, Aged
Abstract

Australia has implemented a high-coverage HPV vaccination program but has not, to date, established the distribution of HPV types that occur in cervical cancers in Australia. This information is important for determining the potential for cervical cancer prevention with both current and broader spectrum HPV vaccines. We analysed 847 cervical cancers diagnosed 2005 to 2015 in tertiary centres in the three most populous Australian states with resolution of specimens containing multiple HPV types using laser-capture microdissection. Archived FFPE tissue was reviewed by specialist pathologists, sandwich sectioned, and initially whole-tissue sections genotyped for HPV. Samples were first genotyped using SPF10-LiPA25 (version 1). Negative samples were screened with DNA ELISA kit HPV SPF10, followed by genotyping with SPF+ LiPA if ELISA positive. If still negative, samples were tested on a qPCR assay targeting the E6 region of HPV16, 18, 45 and 33. Of the 847 cancers (65.1% squamous, 28.7% adenocarcinoma, 4.3% adenosquamous, 2.0% other), 92.9% had HPV detected. Of the HPV-positive cancers, 607 of 787 (77.1%) contained HPV16 or 18, 125 of 787 (15.9%) contained HPV31/33/45/52 or 58, and 55 (7.0%) another HPV type. There was a strong correlation between HPV type and age, with younger women most likely to have HPV16/18 detected and least likely HPV negative. Our findings indicate that cervical cancers diagnosed in Australia more frequently contain HPV16/18 than in international series. This could be due to cervical screening in Australia increasing the proportion of adenocarcinomas, in which types 18 and 16 more strongly predominate, due to prevention of squamous cancers.

Published
2017

11. PAINTING IN THE TREATMENT OF A MIDDLE-CLASS JUVENILE DELINQUENT.

Author

Howard, Margaret Cummings

Subjects
*ART therapy, *JUVENILE offenders, *REHABILITATION of criminals
Abstract

Presents a case study of the use of art therapy in the treatment of a juvenile delinquent. Background of the juvenile delinquent; Significance of the initial approach of the delinquent to art therapy; Analysis of the delinquent's paintings.

Published
2001

13. Time and knitting wait for no man.

Author

Margaret&Cummings

Subjects
FIRST person narrative, KNITTING
Abstract

A personal narrative is presented that explores the author's experience of starting knitting after a long gap of time.

Published
2011

14. Tumor mismatch repair immunohistochemistry and DNA MLH1 methylation testing of patients with endometrial cancer diagnosed at age younger than 60 years optimizes triage for population-level germline mismatch repair gene mutation testing.

Author

Buchanan DD, Tan YY, Walsh MD, Clendenning M, Metcalf AM, Ferguson K, Arnold ST, Thompson BA, Lose FA, Parsons MT, Walters RJ, Pearson SA, Cummings M, Oehler MK, Blomfield PB, Quinn MA, Kirk JA, Stewart CJ, Obermair A, Young JP, Webb PM, and Spurdle AB

Subjects
Adaptor Proteins, Signal Transducing metabolism, Adenosine Triphosphatases genetics, Adenosine Triphosphatases metabolism, Adult, Aged, Aged, 80 and over, Australia, Cohort Studies, DNA Repair Enzymes genetics, DNA Repair Enzymes metabolism, DNA-Binding Proteins genetics, DNA-Binding Proteins metabolism, Early Detection of Cancer methods, Endometrial Neoplasms diagnosis, Endometrial Neoplasms metabolism, Female, Genetic Testing methods, Humans, Immunohistochemistry, Middle Aged, Mismatch Repair Endonuclease PMS2, MutL Protein Homolog 1, MutS Homolog 2 Protein genetics, MutS Homolog 2 Protein metabolism, Nuclear Proteins metabolism, Population Surveillance methods, Adaptor Proteins, Signal Transducing genetics, DNA Methylation, DNA Mismatch Repair genetics, Endometrial Neoplasms genetics, Germ-Line Mutation, Nuclear Proteins genetics
Abstract

Purpose: Clinicopathologic data from a population-based endometrial cancer cohort, unselected for age or family history, were analyzed to determine the optimal scheme for identification of patients with germline mismatch repair (MMR) gene mutations., Patients and Methods: Endometrial cancers from 702 patients recruited into the Australian National Endometrial Cancer Study (ANECS) were tested for MMR protein expression using immunohistochemistry (IHC) and for MLH1 gene promoter methylation in MLH1-deficient cases. MMR mutation testing was performed on germline DNA of patients with MMR-protein deficient tumors. Prediction of germline mutation status was compared for combinations of tumor characteristics, age at diagnosis, and various clinical criteria (Amsterdam, Bethesda, Society of Gynecologic Oncology, ANECS)., Results: Tumor MMR-protein deficiency was detected in 170 (24%) of 702 cases. Germline testing of 158 MMR-deficient cases identified 22 truncating mutations (3% of all cases) and four unclassified variants. Tumor MLH1 methylation was detected in 99 (89%) of 111 cases demonstrating MLH1/PMS2 IHC loss; all were germline MLH1 mutation negative. A combination of MMR IHC plus MLH1 methylation testing in women younger than 60 years of age at diagnosis provided the highest positive predictive value for the identification of mutation carriers at 46% versus ≤ 41% for any other criteria considered., Conclusion: Population-level identification of patients with MMR mutation-positive endometrial cancer is optimized by stepwise testing for tumor MMR IHC loss in patients younger than 60 years, tumor MLH1 methylation in individuals with MLH1 IHC loss, and germline mutations in patients exhibiting loss of MSH6, MSH2, or PMS2 or loss of MLH1/PMS2 with absence of MLH1 methylation.

Published
2014
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