University Health Network

Ontario Institute for Cancer Research

Ontario Institute for Cancer Research (Oicr)

Paul Boutros

Robert G Bristow

Igor Jurisica

John Bartlett

Melanie Spears

Sandy D Der

Frances A Shepherd

Shadrielle Melijah G Espiritu

Ming Sound Tsao

Yiyang Liu

Suzanne Lau

Emilie Lalonde

Melania Pintilie

Cindy Q Yao

Linda Penn

Julia A Hopkins

Fouad Yousif

Jane Bayani

John M S Bartlett

In an aspect, there is provided a method for diagnosing or prognosing a subject with cancer, the method comprising: providing cancer DNA sequencing data from a cancer sample comprising cancer DNA from the subject; comparing the cancer DNA sequencing data with control DNA sequencing data to determine genetic aberrations; determining, from the genetic aberrations, the clonal and subclonal populations present in the sample; constructing a phylogenetic map of the clonal and subclonal populations; assigning to the subject a risk level associated with a better or worse patient outcome or response to therapy; wherein a relatively higher risk level is associated with a higher level of evolution and number of subclonal populations and a relatively lower risk level is associated with a lower level of evolution and number of subclonal populations.

Cancer risk based on tumour clonality

There is described herein a method of prognosing endocrine-only treatment in a subject with breast cancer, the method comprising: a) providing a tumor sample of the breast cancer; b) determining the expression level of at least 40 of the genes listed in Table 4 in the tumor sample; c) comparing said expression levels to a reference expression level of the group of genes from control samples from a cohort of subjects; and d) determining the residual risk associated with the breast cancer; wherein a statistically significant difference or similarity in the expression of the group of genes compared to the reference expression level corresponds to a residual risk associated with breast cancer.

Gene signature of residual risk following endocrine treatment in early breast cancer

There is described herein a method of prognosing and/or predicting disease progression and/or in subject with prostate cancer, the method comprising: a) providing a sample containing mitochondrial genetic material from prostate cancer cells; b) sequencing the mitochondrial genetic material with respect to at least 1 patient biomarker selected from CSB1, OHR, ATP8 and HV1 (hypervariable region 1); c) comparing the sequence of the patient biomarkers to control or reference biomarkers to determine mitochondrial single nucleotide variations (mtSNVs); and d) determining the a prostate cancer prognosis; wherein a relatively worse outcome is associated with the presence of mtSNVs in CSB1, OHR, ATP8 and a relatively better outcome is associated with the presence of mtSNVs in HV1.

Mitochondrial DNA prostate cancer marker and related systems and methods

The invention features methods, devices, and kits for predicting the responsiveness of a cancer patient (e.g., a breast cancer patient, such as a grade 1, 2, or 3 breast cancer patient) to anthracycline treatment by determining the expression levels of four chromosomal instability (CIN) genes including HDGF, KIAA0286, RFC4, and MSH6, collectively referred to as CIN4. Patients that have a low CIN4 score benefit from anthracycline treatment compared patients with a high CIN4 score.

Methods and devices for predicting anthracycline treatment efficacy

There is provided herein, systems, devices and methods for determining a risk of recurrence of cancer following a cancer therapy of a patient by determining genomic instability of a tumour. There is further provided systems, devices and methods for categorizing a patient into a prognostic cancer sub-group by using copy number alterations.

Biopsy-driven genomic signature for prostate cancer prognosis

The invention provides methods of prognosing and classifying lung cancer patients into poor survival groups or good survival groups. The invention also includes kits for use in the methods of the invention.

Materials and methods for prognosing lung cancer survival

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Toronto, Canada

Paul Boutros