Incorporating Novel Technologies in Precision Oncology for Colorectal Cancer: Advancing Personalized Medicine

Pankaj Ahluwalia, Kalyani Ballur, Tiffanie Leeman, Ashutosh Vashisht, Harmanpreet Singh, Nivin Omar, Ashis K. Mondal, Kumar Vaibhav, Babak Baban, Ravindra Kolhe

Research output: Contribution to journalReview articlepeer-review

Abstract

Colorectal cancer (CRC) is one of the most heterogeneous and deadly diseases, with a global incidence of 1.5 million cases per year. Genomics has revolutionized the clinical management of CRC by enabling comprehensive molecular profiling of cancer. However, a deeper understanding of the molecular factors is needed to identify new prognostic and predictive markers that can assist in designing more effective therapeutic regimens for the improved management of CRC. Recent breakthroughs in single-cell analysis have identified new cell subtypes that play a critical role in tumor progression and could serve as potential therapeutic targets. Spatial analysis of the transcriptome and proteome holds the key to unlocking pathogenic cellular interactions, while liquid biopsy profiling of molecular variables from serum holds great potential for monitoring therapy resistance. Furthermore, gene expression signatures from various pathways have emerged as promising prognostic indicators in colorectal cancer and have the potential to enhance the development of equitable medicine. The advancement of these technologies for identifying new markers, particularly in the domain of predictive and personalized medicine, has the potential to improve the management of patients with CRC. Further investigations utilizing similar methods could uncover molecular subtypes specific to emerging therapies, potentially strengthening the development of personalized medicine for CRC patients.

Original languageEnglish (US)
Article number480
JournalCancers
Volume16
Issue number3
DOIs
StatePublished - Feb 2024

Keywords

  • clinical
  • colorectal cancer
  • equitable medicine
  • gene signature
  • genomics
  • immune infiltration
  • immunotherapy response
  • personalized
  • precision medicine
  • predictive
  • preventive
  • prognostic
  • spatial
  • stratified medicine

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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