Natalie Stickle
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Natalie Stickle has a total of 53 co-authors. Here are the top co-authors by number of shared publications:
- Tracy L. Stockley
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Advanced Molecular Diagnostic Laboratory, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
3 shared publications Alexandra Volenik
2 shared publications- Alicia A. Tone
Ovarian Cancer Canada, Toronto, ON M2P 2A9, Canada
2 shared publications - Amit Manulal Oza
Princess Margaret Cancer Centre 2 Division of Medical Oncology and Hematology , Toronto, Canada
2 shared publications Carl Virtanen
Advanced Molecular Diagnostics Laboratory, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
2 shared publications- Carl Virtanen
Advanced Molecular Diagnostics Laboratory, Princess Margaret Cancer Centre, and
2 shared publications
Latest Publications
- 24 June 2022
- Published by Wolters Kluwer Health in Circulation Research
- Vol. 131 (1) , 106-108
Diversity in the Expressed Genomic Host Response to Myocardial Infarction
- 24 June 2022
- Published by Wolters Kluwer Health in Circulation Research
- Vol. 131 (1) , 106-108
Diversity in the Expressed Genomic Host Response to Myocardial Infarction
- 1 August 2021
- Published by Wolters Kluwer Health in Obstetrical & Gynecological Survey
- Vol. 76 (8) , 476-478
The Prevent Ovarian Cancer Program (POCP): Identification of Women at Risk for Ovarian Cancer Using Complementary Recruitment Approaches
(Abstracted from Gynecol Oncol 2021;162:97–106) High-grade serous ovarian cancer (HGSOC) accounts for 70% of ovarian cancer cases and is the deadliest subtype of ovarian cancer. Approximately 20% of ovarian cancers are hereditary, and the greatest single risk factor for ovarian cancer is the inheritance of a pathogenic variant (PV) such as BRCA1 or BRCA2.
- 1 August 2021
- Published by Wolters Kluwer Health in Obstetrical & Gynecological Survey
- Vol. 76 (8) , 476-478
The Prevent Ovarian Cancer Program (POCP): Identification of Women at Risk for Ovarian Cancer Using Complementary Recruitment Approaches
(Abstracted from Gynecol Oncol 2021;162:97–106) High-grade serous ovarian cancer (HGSOC) accounts for 70% of ovarian cancer cases and is the deadliest subtype of ovarian cancer. Approximately 20% of ovarian cancers are hereditary, and the greatest single risk factor for ovarian cancer is the inheritance of a pathogenic variant (PV) such as BRCA1 or BRCA2.
- 1 July 2021
- Published by Elsevier in Gynecologic Oncology
- Vol. 162 (1) , 97-106
The Prevent Ovarian Cancer Program (POCP): Identification of women at risk for ovarian cancer using complementary recruitment approaches
- 1 July 2021
- Published by Elsevier in Gynecologic Oncology
- Vol. 162 (1) , 97-106
The Prevent Ovarian Cancer Program (POCP): Identification of women at risk for ovarian cancer using complementary recruitment approaches
- 1 March 2019
- Published by Elsevier in The Journal of Molecular Diagnostics
- Vol. 21 (2) , 261-273
Somatic Tumor Variant Filtration Strategies to Optimize Tumor-Only Molecular Profiling Using Targeted Next-Generation Sequencing Panels
- 1 March 2019
- Published by Elsevier in The Journal of Molecular Diagnostics
- Vol. 21 (2) , 261-273
Somatic Tumor Variant Filtration Strategies to Optimize Tumor-Only Molecular Profiling Using Targeted Next-Generation Sequencing Panels
- 1 May 2018
- Published by Elsevier in The American Journal of Pathology
- Vol. 188 (5) , 1120-1131
A Genomically Characterized Collection of High-Grade Serous Ovarian Cancer Xenografts for Preclinical Testing
- 1 May 2018
- Published by Elsevier in The American Journal of Pathology
- Vol. 188 (5) , 1120-1131
A Genomically Characterized Collection of High-Grade Serous Ovarian Cancer Xenografts for Preclinical Testing