Original Article
 
Clinical genomics: Next generation guide in difficulty-to-treat cancers
Iyer Sandhya1, Aarthi Ramesh1, Kavishwar Shubham1, Vijayakumar Rajeev2, Todur Seema1, Basavalingegowda Madhura1, Shafi Gowhar1
1Department of Clinical Genomics & Bioinformatics, Positive Bioscience, Mumbai, India
2Narayana Health, Mazumdar Shaw Medical Centre, Bommasandra, Bangalore, India

Article ID: 100006C01IS2018
doi: 10.5348/100006C01IS2018OA

Corresponding Author:
Dr. Gowhar Shafi,
Chief Scientific Officer,
Department Clinical Genomics & Bioinformatics,
Positive Bioscience,
Mumbai – 400002, India

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How to cite this article
Sandhya I, Ramesh A, Shubham K, Rajeev V, Seema T, Madhura B, Gowhar S. Clinical genomics: Next generation guide in difficulty-to-treat cancers. Edorium J Cancer 2018;4:100006C01IS2018.


ABSTRACT

Aims: Cancer as a disease has been detected to evolve through a series of genomic mutations which continue to keep accumulating depending on the aggressiveness and stage. This study aims at highlighting the significance of next generation sequencing (NGS) based genomic testing in detecting clinically actionable genomic markers in difficult to treat cancer presentations.

Methods: A retrospective analysis of comprehensive NGS outcomes with attention to complete patient demographics including current and previous disease co-morbidities was performed in selected clinically significant cancer cases.

Results: The study proved effective in all the 3 clinical presentations with effective treatment predictions. In Case A, presented with HER2 (ERBB2) positive breast cancer was identified with PI3K mutation proving efficient with mTOR inhibitors. Case B presented with lung adenocarcinoma also indicated the presence of JAK2 mutations. Case C who presented with pancreatic cancer was also identified with KRAS and CDKN2A mutations predicting the utility of MEK and PI3K inhibitors.

Conclusion: This reiterates the need to study every cancer type as an individual case and also the significance associated with the necessity for a comprehensive analysis to detect the complex web of active biological pathway in that specific cancer case. In this research report, we present three case studies of cancer types; breast, pancreas and lung, wherein a comprehensive genomic analysis strategy was employed and its ensuing effect on designing treatment and management modalities. Our attempt is focused on highlighting the need for beyond-the-guidelines diagnosis in every cancer case for better outcomes.

Keywords: Breast cancer, Genomic testing, Lung, Next generation sequencing, Pancreas


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Author Contributions
Iyer Sandhya – Substantial contributions to conception and design, Analysis and interpretation of data, Drafting the article, Revising it critically for important intellectual content, Final approval of the version to be published
Aarthi Ramesh – Acquisition of data, Drafting the article, Revising it critically for important intellectual content, Final approval of the version to be published
Kavishwar Shubham – Acquisition of data, Analysis and interpretation of data, Revising it critically for important intellectual content, Final approval of the version to be published
Vijayakumar Rajeev – Substantial contributions to conception and design, Analysis and interpretation of data, Revising it critically for important intellectual content, Final approval of the version to be published
Todur Seema – Analysis and interpretation of data, Drafting the article, Final approval of the version to be published
Basavalingegowda Madhura – Acquisition of data, Analysis and interpretation of data, Drafting the article, Final approval of the version to be published
Shafi Gowhar – Substantial contributions to conception and design, Analysis and interpretation of data, Revising it critically for important intellectual content, Final approval of the version to be published
Guarantor of Submission
The corresponding author is the guarantor of submission.
Source of Support
None
Consent Statement
Written informed consent was obtained from the patient for publication of this study.
Conflict of Interest
Author declares no conflict of interest.
Copyright
© 2018 Iyer Sandhya et al. This article is distributed under the terms of Creative Commons Attribution License which permits unrestricted use, distribution and reproduction in any medium provided the original author(s) and original publisher are properly credited. Please see the copyright policy on the journal website for more information.