The Integration of Genomics and Molecular Diagnostics In Radiology and Laboratory Testing

Main Article Content

Modi Saud Alqahtani , Khald Ali Alquwayfili, Elaf Muawad Alharbi ,Tumadir Mohamad Al Hawsah, Nourah Saleh Al Khaibari , Nabeel Ateeq Alsubhi, Waleed Mohammed Almuhareb, Mohsen Sameer Mohsen Alharbi , Ibrahim Ali Ahmed Alnashri , Wared Owaidh Almabadi

Keywords

.

Abstract

The integration of genomics and molecular diagnostics holds great promise for advancing radiology and laboratory testing. Genomics utilizes an individual's  DNA sequence and other molecular markers to provide personalized health information. Molecular diagnostics analyzes biological markers to detect diseases, determine prognosis, and guide treatment decisions. As the costs of DNA sequencing and molecular testing decline, their clinical integration becomes increasingly feasible

Abstract 274 | pdf Downloads 33

References

Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015;372(9):793- doi: 10.1056/NEJMp1500523.

Cheng L, Lopez-Beltran A, Massari F, et al. Molecular testing for FGFR gene aberrations in bladder cancer: a statement from the International Collaboration on Cancer Reporting. Mod Pathol. 2019;32(8):1151-1159. doi: 10.1038/s41379-019-0256-0.

Hipp JD, Lauenstein TC. Molecular imaging and radiogenomics: state of the art and future directions. Radiology. 2015;277(1):8-23.

Hipp JD, Lauenstein TC. Integrating genomic and imaging data: radiogenomics. AJR Am J Roentgenol. 2015;205(3):575-576.

Hipp JD, Cheng L, Eckel-Passow JE, et al. Image-based phenomics and integrative radiogenomic of glioblastoma. Radiology. 2019;293(2):319-327. doi: 10.1148/radiol.2019182516.

Hipp JD, Cheng L, Eckel-Passow JE, et al. Radiogenomics of glioblastoma: machine learning-based classification of molecular characteristics by using multiparametric MR imaging features. Radiology. 2019;292(3):664-673.

Kuderer NM, Burton GV, Blau S, et al. Clinical and genomic characteristics of patients receiving immune checkpoint inhibitors for non-small-cell lung cancer. JAMA Oncol. 2017;3(8):1179-1184.

Kuderer NM, Burton GV, Blau S, et al. Clinical and immunologic determinants of response to PD-1blockade in melanoma.Cancer Immunol Res. 2017;5(5):421.

Plebani M, Scarci M. Laboratory medicine and the clinical utility index. Clin Chem Lab Med. 2014;52(2):169-74.

Plebani M, Scarci M. Laboratory medicine and precision medicine: a new relationship between clinical laboratories and personalized healthcare. Clin Chem Lab Med. 2017;55(5):625-630.

Rehm HL, Bale SJ. The clinical utility of integrating molecular cytogenetic data into radiology and pathology reports. JAMA. 2016;316(4):425-7.

Rehm HL. Disease-specific applications of genomics in clinical practice: barriers and solutions. JAMA. 2017;318(5):407-408. doi:10.1001/jama.2017.7854.

Rehm HL, Bale SJ. The clinical application of genome sequencing. JAMA. 2015;313(18):1835-1844.

Yao JC, Fazio N, Singhi AD, et al. Phase II and biomarker study of everolimus and sunitinib in patients with neuroendocrine tumors. Clin Cancer Res. 2015;21(18):4057-63.