Diagnostic therapy efficacy assessment in genomic medicine and rare cancer care

Diagnostic therapy efficacy assessment as a novel procedure in genomic medicine and rare cancer care
Traditionally cancer classification has been based on histology and pathological evaluation. With the advent of genetic profiling techniques, molecular subtyping has been used to define cancers further down to molecular subtypes.

Misvik Biology’s Dr Juha Rantala explains how a pan-cancer drug sensitivity comparison offers new insights in genomic medicine, specifically, the repurposing of targeted therapies for rare cancers.

Precision medicine in cancer care aims to target the treatment of an individual patient on the basis of a tailored diagnosis. The advent of genomic Big Data describing the genetic landscape of human cancers has revived the concept of oncogene-defined molecular cancer grouping and resulted in genomic medicine.

International efforts providing a pan-cancer comparison of the genomic similarities of tens of thousands of patients now suggest shifting the grouping of cancers towards tissue-agnostic subtypes defined by the genomic aberrations rather than the tissue or cell of origin. This has also had a profound impact on the way cancers could be treated, as classically cancer treatment strategies have been considered cancer type specific.

The hundreds of different forms of cancers originating from different sites of organs and, more specifically, the different cell types, are driven by a complex array of genomic alterations and no two cancers are identical. Thus, it is easy to argue that no two cancers respond similarly to a given therapy. How, then, do we match patients with the right treatment?

The pattern of how specified genetic alterations in a given cellular lineage background result in tumours with different biology, pathology and treatment sensitivity are beginning to be characterised and, based on this information, the patients could be classified further beyond the pathological and genetic features. In the case of novel immunotherapies, such tissue-agnostic cancer grouping and treatment strategies are already becoming a reality.

In this concept, the identification of DNA mismatch repair defects confer into a biomarker that can be applied to patient stratification in multiple different cancer types. For other targeted therapeutics such as kinase inhibitors, the frequency of genomic aberrations in given types of cancers has defined the cancers with clinical use approval of the drugs, though the same oncogenic aberrations, even if rare, can be drivers also in other types of cancers.

The ability to diagnostically confirm a patient’s tumour cells’ sensitivity towards targeted therapeutics following genetic profiling could provide the necessary evidence to use such therapeutics to also treat other rare cancers, ‘off-label’, and to confirm the patient specific efficacy before each treatment decision. The platforms for such ex vivo therapy efficacy screening exist, and clinical validation of these methods is underway.

Tissue agnostic ex vivo evidence-based therapy

Genomic medicine offers a static view on the aberrations driving a cancer and suggests sensitivity towards a given therapy, but it lacks empirical evidence of efficacy for an individual patient. Due to the genetic complexity and lineage heterogeneity of cancer cells, the patient-specific efficacy of therapies is unpredictable, even within cancers of the same type.

Missing this functional predictive aspect has hindered the adaptation of genomic medicine to the treatment of rare cancers. The TrialTest™ ex vivo therapy efficacy screening strategy developed at Misvik biology® can be used for functional assessment of therapy efficacy in any solid cancer type.

Currently, the patients enrolled in the pre-clinical study represent more than 40 different solid cancers. The comparison of drug sensitivity of an individual patient’s tumour cells for 150 targeted cancer drugs across the developed pan-cancer drug sensitivity database allows for the assessment of patient- and cancer-specific drug responses.

The Outlier Drug Response Score™ (ODRS) examines the similarities and differences of individual patient’s drug sensitivity to the pan-cancer profile of a drug and highlights drugs with a patient-specific outlier effect. In combination with genetic profiling of the patient’s tumour cells, the ODRS score can be used as empirical evidence to support treatment decisions for patients with a type of cancer for which there is no clinical evidence for that drug.

The pan-cancer drug sensitivity comparison thus offers new insights in the repurposing of targeted therapies and the identification of commonalities of drug sensitivity patterns of rare cancers with the common types of cancers.

 

Juha Rantala

Misvik Biology Ltd

+358 400 151584

rantala@misvik.com

www.misvik.com

This is a commercial article that will appear in SciTech Europa Quarterly issue 28, which will be published in September, 2018.

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