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Dr Katia Nones
Dr

Katia Nones

Email: 

Overview

Background

Dr Nones research program is focused in using genomics to better understand the molecular aspects of cancer development and response to treatment. Her work encompassed a series of cancer types including oesophageal, pancreatic, breast and lung cancers. Cancer genomics is impacting patient care through precision medicine. Her work is contributing to two areas: i) our understanding of tumour development and progression by identifying new genes and/or mechanisms that drive cancer progression or response to treatment; and ii) investigating steps to improve the translation of genomics into patient care to improve outcomes for cancer patients.

Availability

Dr Katia Nones is:
Available for supervision

Qualifications

  • Master of Science, University of São Paulo
  • Doctor of Agronomy, University of São Paulo

Research interests

  • Research Interests

    - Genomics - Transcriptomics - DNA Methylation - Cancer

Works

Search Professor Katia Nones’s works on UQ eSpace

134 works between 2002 and 2025

21 - 40 of 134 works

2022

Journal Article

Comprehensive genomic and tumour immune profiling reveals potential therapeutic targets in malignant pleural mesothelioma

Creaney, Jenette, Patch, Ann-Marie, Addala, Venkateswar, Sneddon, Sophie A., Nones, Katia, Dick, Ian M., Lee, Y. C. Gary, Newell, Felicity, Rouse, Ebony J., Naeini, Marjan M., Kondrashova, Olga, Lakis, Vanessa, Nakas, Apostolos, Waller, David, Sharkey, Annabel, Mukhopadhyay, Pamela, Kazakoff, Stephen H., Koufariotis, Lambros T., Davidson, Aimee L., Ramarao-Milne, Priya, Holmes, Oliver, Xu, Qinying, Leonard, Conrad, Wood, Scott, Grimmond, Sean M., Bueno, Raphael, Fennell, Dean A., Pearson, John V., Robinson, Bruce W. and Waddell, Nicola (2022). Comprehensive genomic and tumour immune profiling reveals potential therapeutic targets in malignant pleural mesothelioma. Genome Medicine, 14 (1) 58, 1-18. doi: 10.1186/s13073-022-01060-8

Comprehensive genomic and tumour immune profiling reveals potential therapeutic targets in malignant pleural mesothelioma

2022

Journal Article

qmotif: determination of telomere content from whole-genome sequence data

Holmes, Oliver, Nones, Katia, Tang, Yue Hang, Loffler, Kelly A., Lee, Michael, Patch, Ann-Marie, Dagg, Rebecca A., Lau, Loretta M. S., Leonard, Conrad, Wood, Scott, Xu, Qinying, Pickett, Hilda A., Reddel, Roger R., Barbour, Andrew P., Grimmond, Sean M., Waddell, Nicola and Pearson, John V. (2022). qmotif: determination of telomere content from whole-genome sequence data. Bioinformatics Advances, 2 (1) vbac005, 1-3. doi: 10.1093/bioadv/vbac005

qmotif: determination of telomere content from whole-genome sequence data

2022

Journal Article

Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content

Ganesamoorthy, Devika, Robertson, Alan James, Chen, Wenhan, Hall, Michael B., Cao, Minh Duc, Ferguson, Kaltin, Lakhani, Sunil R., Nones, Katia, Simpson, Peter T. and Coin, Lachlan J. M. (2022). Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content. BMC Cancer, 22 (1) 85, 85. doi: 10.1186/s12885-021-09160-1

Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content

2022

Journal Article

Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer

Bonazzi, Vanessa F., Kondrashova, Olga, Smith, Deborah, Nones, Katia, Sengal, Asmerom T., Ju, Robert, Packer, Leisl M., Koufariotis, Lambros T., Kazakoff, Stephen H., Davidson, Aimee L., Ramarao-Milne, Priya, Lakis, Vanessa, Newell, Felicity, Rogers, Rebecca, Davies, Claire, Nicklin, James, Garrett, Andrea, Chetty, Naven, Perrin, Lewis, Pearson, John V., Patch, Ann-Marie, Waddell, Nicola and Pollock, Pamela M. (2022). Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer. Genome Medicine, 14 (1) 3, 1-19. doi: 10.1186/s13073-021-00990-z

Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer

2022

Journal Article

Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance

Newell, Felicity, Pires da Silva, Ines, Johansson, Peter A., Menzies, Alexander M., Wilmott, James S., Addala, Venkateswar, Carlino, Matteo S., Rizos, Helen, Nones, Katia, Edwards, Jarem J., Lakis, Vanessa, Kazakoff, Stephen H., Mukhopadhyay, Pamela, Ferguson, Peter M., Leonard, Conrad, Koufariotis, Lambros T., Wood, Scott, Blank, Christian U., Thompson, John F., Spillane, Andrew J., Saw, Robyn P.M., Shannon, Kerwin F., Pearson, John V., Mann, Graham J., Hayward, Nicholas K., Scolyer, Richard A., Waddell, Nicola and Long, Georgina V. (2022). Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance. Cancer Cell, 40 (1), 88-102.e7. doi: 10.1016/j.ccell.2021.11.012

Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance

2022

Journal Article

Genomic and molecular analyses identify molecular subtypes of pancreatic cancer recurrence

Dreyer, Stephan B., Upstill-Goddard, Rosie, Legrini, Assya, Biankin, Andrew V., Allison, Sarah, Beraldi, Dario, Cameron, Euan, Chang, David K., Cooke, Susanna L., Cunningham, Richard, Dreyer, Stephan, Grimwood, Paul, Kelly, Shane, Marshall, John, McDade, Brian, Musgrove, Elizabeth A., Ramsay, Donna, Evers, Lisa, Rebus, Selma, Rahib, Lola, Serrels, Bryan, Jamieson, Nigel B., McKay, Colin J., Westwood, Paul, Williams, Nicola, Duthie, Fraser, Shen, William, Pea, Antonio, Johns, Amber L. ... Bassi, Claudio (2022). Genomic and molecular analyses identify molecular subtypes of pancreatic cancer recurrence. Gastroenterology, 162 (1), 320-324. doi: 10.1053/j.gastro.2021.09.022

Genomic and molecular analyses identify molecular subtypes of pancreatic cancer recurrence

2021

Journal Article

ROR1 and ROR2 expression in pancreatic cancer

Liu, Dongli, Sharbeen, George, Phillips, Phoebe, Johns, Amber L., Gill, Anthony J., Chantrill, Lorraine A., Timpson, Paul, Chou, Angela, Pajic, Marina, Dwarte, Tanya, Herrmann, David, Vennin, Claire, Cox, Thomas R., Pereira, Brooke, Ritchie, Shona, Reed, Daniel A., Chambers, Cecilia R., Metcalf, Xanthe, Nobis, Max, Waddell, Nicola, Pearson, John V., Patch, Ann-Marie, Nones, Katia, Newell, Felicity, Mukhopadhyay, Pamela, Addala, Venkateswar, Kazakoff, Stephen, Holmes, Oliver, Leonard, Conrad ... Ford, Caroline E. (2021). ROR1 and ROR2 expression in pancreatic cancer. BMC Cancer, 21 (1) 1199. doi: 10.1186/s12885-021-08952-9

ROR1 and ROR2 expression in pancreatic cancer

2021

Journal Article

DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association

Lakis, Vanessa, Lawlor, Rita T., Newell, Felicity, Patch, Ann-Marie, Mafficini, Andrea, Sadanandam, Anguraj, Koufariotis, Lambros T., Johnston, Rebecca L., Leonard, Conrad, Wood, Scott, Rusev, Borislav, Corbo, Vincenzo, Luchini, Claudio, Cingarlini, Sara, Landoni, Luca, Salvia, Roberto, Milella, Michele, Chang, David, Bailey, Peter, Jamieson, Nigel B., Duthie, Fraser, Gingras, Marie-Claude, Muzny, Donna M., Wheeler, David A., Gibbs, Richard A., Milione, Massimo, Chantrill, Lorraine A., Timpson, Paul, Chou, Angela ... Scarpa, Aldo (2021). DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association. Communications Biology, 4 (1) 155, 1-11. doi: 10.1038/s42003-020-01469-0

DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association

2021

Journal Article

Acquired RAD51C promoter methylation loss causes parp inhibitor resistance in high-grade serous ovarian carcinoma

Nesic, Ksenija, Kondrashova, Olga, Hurley, Rachel M., McGehee, Cordelia D., Vandenberg, Cassandra J., Ho, Gwo-Yaw, Lieschke, Elizabeth, Dall, Genevieve, Bound, Nirashaa, Shield-Artin, Kristy, Radke, Marc, Musafer, Ashan, Chai, Zi Qing, Ghamsari, Mohammad Reza Eftekhariyan, Harrell, Maria I., Kee, Damien, Olesen, Inger, McNally, Orla, Traficante, Nadia, Study, Australian Ovarian Cancer, DeFazio, Anna, Bowtell, David D.L., Swisher, Elizabeth M., Weroha, S. John, Nones, Katia, Waddell, Nicola, Kaufmann, Scott H., Dobrovic, Alexander, Wakefield, Matthew J. and Scott, Clare L. (2021). Acquired RAD51C promoter methylation loss causes parp inhibitor resistance in high-grade serous ovarian carcinoma. Cancer Research, 81 (18), 4709-4722. doi: 10.1158/0008-5472.can-21-0774

Acquired RAD51C promoter methylation loss causes parp inhibitor resistance in high-grade serous ovarian carcinoma

2021

Journal Article

Correction: McCart Reed et al. The Genomic Landscape of Lobular Breast Cancer. Cancers 2021, 13, 1950

McCart Reed, Amy E., Foong, Samuel, Kutasovic, Jamie R., Nones, Katia, Waddell, Nicola, Lakhani, Sunil R. and Simpson, Peter T. (2021). Correction: McCart Reed et al. The Genomic Landscape of Lobular Breast Cancer. Cancers 2021, 13, 1950. Cancers, 13 (16) 4010, 4010. doi: 10.3390/cancers13164010

Correction: McCart Reed et al. The Genomic Landscape of Lobular Breast Cancer. Cancers 2021, 13, 1950

2021

Journal Article

The genomic landscape of lobular breast cancer

McCart Reed, Amy E., Foong, Samuel, Kutasovic, Jamie R., Nones, Katia, Waddell, Nicola, Lakhani, Sunil R. and Simpson, Peter T. (2021). The genomic landscape of lobular breast cancer. Cancers, 13 (8) 1950, 1950. doi: 10.3390/cancers13081950

The genomic landscape of lobular breast cancer

2021

Other Outputs

Genomic analysis of patient-derived xenograft models reveals intra-tumor heterogeneity in endometrial cancer and can predict tumor growth inhibition with talazoparib

Bonazzi, Vanessa F., Kondrashova, Olga, Smith, Deborah, Nones, Katia, Sengal, Asmerom T., Ju, Robert, Packer, Leisl M., Koufariotis, Lambros T., Kazakoff, Stephen H., Davidson, Aimee L., Ramarao-Milne, Priya, Lakis, Vanessa, Newell, Felicity, Rogers, Rebecca, Davies, Claire, Nicklin, James, Garrett, Andrea, Chetty, Naven, Perrin, Lewis, Pearson, John V., Patch, Ann-Marie, Waddell, Nicola and Pollock, Pamela (2021). Genomic analysis of patient-derived xenograft models reveals intra-tumor heterogeneity in endometrial cancer and can predict tumor growth inhibition with talazoparib. doi: 10.1101/2021.03.30.436914

Genomic analysis of patient-derived xenograft models reveals intra-tumor heterogeneity in endometrial cancer and can predict tumor growth inhibition with talazoparib

2021

Journal Article

Abstract PR007: Genomic characterization of endometrial cancer patient-derived xenografts reveals intratumor heterogeneity

Kondrashova, Olga, Bonazzi, Vanessa F., Smith, Deborah, Nones, Katia, Sengal, Asmerom, Ju, Robert, Packer, Leisl M., Koufariotis, Lambros T, Kazakoff, Stephen H., Davidson, Aimee L., Ramarao-Milne, Priya, Lakis, Vanessa, Newell, Felicity, Rogers, Rebecca, Davies, Claire, Chetty, Naven, Perrin, Lewis, Pearson, John, Patch, Ann-Marie, Garrett, Andrea, Waddell, Nicola, Pollock, Pamela and Nicklin, James (2021). Abstract PR007: Genomic characterization of endometrial cancer patient-derived xenografts reveals intratumor heterogeneity. Clinical Cancer Research, 27 (3_Supplement). doi: 10.1158/1557-3265.endomet20-pr007

Abstract PR007: Genomic characterization of endometrial cancer patient-derived xenografts reveals intratumor heterogeneity

2021

Journal Article

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data

Yap, Melvyn, Johnston, Rebecca L., Foley, Helena, MacDonald, Samual, Kondrashova, Olga, Tran, Khoa A., Nones, Katia, Koufariotis, Lambros T., Bean, Cameron, Pearson, John V., Trzaskowski, Maciej and Waddell, Nicola (2021). Verifying explainability of a deep learning tissue classifier trained on RNA-seq data. Scientific Reports, 11 (1) 2641. doi: 10.1038/s41598-021-81773-9

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data

2021

Journal Article

Targeting DNA damage response and replication stress in pancreatic cancer

Dreyer, Stephan B., Upstill-Goddard, Rosie, Paulus-Hock, Viola, Paris, Clara, Lampraki, Eirini-Maria, Dray, Eloise, Serrels, Bryan, Caligiuri, Giuseppina, Rebus, Selma, Plenker, Dennis, Galluzzo, Zachary, Brunton, Holly, Cunningham, Richard, Tesson, Mathias, Nourse, Craig, Bailey, Ulla-Maja, Jones, Marc D., Moran-Jones, Kim, Wright, Derek W., Duthie, Fraser, Oien, Karin, Evers, Lisa, McKay, Colin J., McGregor, Grant A., Gulati, Aditi, Brough, Rachel, Bajrami, Ilirjana, Pettitt, Stephan, Dziubinski, Michele L. ... Sansom, Owen J. (2021). Targeting DNA damage response and replication stress in pancreatic cancer. Gastroenterology, 160 (1), 362-377.e13. doi: 10.1053/j.gastro.2020.09.043

Targeting DNA damage response and replication stress in pancreatic cancer

2020

Journal Article

Inferring structural variant cancer cell fraction

Cmero, Marek, Yuan, Ke, Ong, Cheng Soon, Schröder, Jan, Adams, David J., Anur, Pavana, Beroukhim, Rameen, Boutros, Paul C., Bowtell, David D. L., Campbell, Peter J., Cao, Shaolong, Christie, Elizabeth L., Cun, Yupeng, Dawson, Kevin J., Demeulemeester, Jonas, Dentro, Stefan C., Deshwar, Amit G., Donmez, Nilgun, Drews, Ruben M., Eils, Roland, Fan, Yu, Fittall, Matthew W., Garsed, Dale W., Gerstung, Moritz, Getz, Gad, Gonzalez, Santiago, Ha, Gavin, Haase, Kerstin, Imielinski, Marcin ... von Mering, Christian (2020). Inferring structural variant cancer cell fraction. Nature Communications, 11 (1) 730. doi: 10.1038/s41467-020-14351-8

Inferring structural variant cancer cell fraction

2020

Conference Publication

Tracking genomic and transcriptomic features of oesophageal adenocarcinoma for improving patients outcome

Naeini, Marjan, Newell, Felicity, Aoude, Lauren G., Bonazzi, Vanessa F., Patel, Kalpana, Koufariotis, Lambros T., Johnson, Rebecca, Addala, Venkateswar, Kondrashova, Olga, Holmes, Oliver, Leonard, Conrad, Wood, Scott, Xu, Christina, Nones, Katia, Pearson, John V., Smithers, Mark, Watson, David, Simes, John, Price, Tim, Gebski, Val, Barbour, Andrew P. and Waddell, Nic (2020). Tracking genomic and transcriptomic features of oesophageal adenocarcinoma for improving patients outcome. HOBOKEN: WILEY.

Tracking genomic and transcriptomic features of oesophageal adenocarcinoma for improving patients outcome

2020

Journal Article

Pathogenic germline variants are associated with poor survival in stage III/IV melanoma patients

Aoude, Lauren G., Bonazzi, Vanessa F., Brosda, Sandra, Patel, Kalpana, Koufariotis, Lambros T., Oey, Harald, Nones, Katia, Wood, Scott, Pearson, John V., Lonie, James M., Arneil, Melissa, Atkinson, Victoria, Smithers, B. Mark, Waddell, Nicola and Barbour, Andrew P. (2020). Pathogenic germline variants are associated with poor survival in stage III/IV melanoma patients. Scientific Reports, 10 (1) 17687, 17687. doi: 10.1038/s41598-020-74956-3

Pathogenic germline variants are associated with poor survival in stage III/IV melanoma patients

2020

Journal Article

Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity

Newell, Felicity, Wilmott, James S., Johansson, Peter A., Nones, Katia, Addala, Venkateswar, Mukhopadhyay, Pamela, Broit, Natasa, Amato, Carol M., Van Gulick, Robert, Kazakoff, Stephen H., Patch, Ann-Marie, Koufariotis, Lambros T., Lakis, Vanessa, Leonard, Conrad, Wood, Scott, Holmes, Oliver, Xu, Qinying, Lewis, Karl, Medina, Theresa, Gonzalez, Rene, Saw, Robyn P. M., Spillane, Andrew J., Stretch, Jonathan R., Rawson, Robert V., Ferguson, Peter M., Dodds, Tristan J., Thompson, John F., Long, Georgina V., Levesque, Mitchell P. ... Hayward, Nicholas K. (2020). Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity. Nature Communications, 11 (1) 5259, 5259. doi: 10.1038/s41467-020-18988-3

Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity

2020

Journal Article

The Impact of Next Generation Sequencing in Cancer Research

Nones, Katia and Patch, Ann-Marie (2020). The Impact of Next Generation Sequencing in Cancer Research. Cancers, 12 (10) 2928, 2928-4. doi: 10.3390/cancers12102928

The Impact of Next Generation Sequencing in Cancer Research

Funding

Current funding

  • 2024 - 2028
    Reducing invasive lobular carcinoma mortality by enhanced liquid biopsy monitoring
    NHMRC MRFF Genomics Health Futures Mission
    Open grant
  • 2023 - 2025
    The molecular basis of breast cancer in young women
    National Breast Cancer Foundation Investigator Initiated Research Scheme
    Open grant
  • 2021 - 2025
    Improving genomic testing rates for inoperable lung cancer patients
    NHMRC MRFF Genomics Health Futures Mission
    Open grant

Supervision

Availability

Dr Katia Nones is:
Available for supervision

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Media

Enquiries

For media enquiries about Dr Katia Nones's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au