On December 8, 2021 Almac Diagnostic Services, a member of the Almac Group, reported that its unique software driven solution for gene expression data analysis – claraT – has assisted oncology researchers at The University of Arkansas for Medical Sciences (US) and Queen’s University Belfast (UK) in the study of brain and breast cancers (Press release, Almac, DEC 8, 2021, View Source [SID1234596586]). The studies, recently published in the MDPI Cancer Journal and the British Journal of Cancer, have the potential to lead to better therapeutic outcomes for patients.

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The research teams, led by Dr Analiz Rodriguez at the University of Arkansas for Medical Sciences and Dr Stuart McIntosh at Queen’s University Belfast, cite use of Almac’s claraT report as a key method used to uncover new findings in their oncology studies.

Almac’s claraT report assists in the analysis of gene expression data by classifying the most biologically relevant gene expression signatures into a comprehensive easy-to-interpret report that covers all 10 Hallmarks of Cancer.

In Dr Analiz Rodriguez’s study, claraT was utilised as a method to facilitate the molecular profiling of brain metastases. Together with other genomic and transcriptomic tools, claraT helped identify novel molecular subtypes and new drivers of brain cancer progression in parallel to novel drug targets. These findings have been published in the MDPI Cancer Journal.

Dr Rodriguez said "We are grateful for the Almac Group’s claraT platform as it allowed us to evaluate hundreds of gene expression signatures and single gene targets that correlated to the Hallmarks of Cancer. Transcriptome data can be difficult to analyze, especially in our heterogenous dataset which included brain metastases samples from various primary cancer subtypes. The claraT software solution immensely simplified our workflow and helped us identify a novel subgroup of brain metastases which warrants further investigation."

Dr McIntosh’s study at Queen’s University Belfast demonstrated that the Almac DNA-damage immune-response (DDIR) assay could be used to identify a group of breast cancer patients more likely to benefit from DNA damaging chemotherapy prior to surgery. The team then used transcriptome profiling and the claraT report to demonstrate that patients with low baseline immune signalling or "cold" tumours could be immune primed through the prior use of DNA damaging chemotherapy, potentially sensitizing these tumours to immune checkpoint therapy. Taken together, these results could help refine the treatment of breast cancer patients and lead to better therapeutic outcomes. These results have been published in the British Journal of Cancer.

Dr McIntosh said "The increasing use of neoadjuvant chemotherapy for breast cancer has great potential to benefit patients, but there is a real need for validated biomarkers to identify those patients who will benefit from it. Furthermore, although there is increasing interest in the use of immune checkpoint therapies in breast cancer, we still don’t know which patients are likely to respond, nor what the best accompanying chemotherapeutic regimen is to sensitise patients to these. The use of Almac’s claraT report in our study has given us a valuable insight into the underlying biology of breast tumours before and during neoadjuvant chemotherapy, allowing us the potential to develop studies with a sound scientific rationale to further improve outcomes for these women."

Professor Richard Kennedy, Global VP and Medical Director, Almac Diagnostic Services stated: "We are delighted to be able to equip leading cancer researchers like Professor Rodriguez and Dr McIntosh with a valuable gene expression analysis platform which has supported the identification of exciting new data in their studies. We congratulate them and their teams on their recent publications and look forward to seeing how their studies progress towards new therapeutic interventions in both brain and breast cancer."

To see the current list of publications, posters and presentations that Almac’s claraT report has assisted research institutions with. Please see: View Source