Abstract

The biggest hurdle to targeted cancer therapy is the inevitable emergence of drug resistance. Tumor cells employ different mechanisms to resist the targeting agent. Most commonly in EGFR-mutant non-small cell lung cancer, secondary resistance mutations on the target kinase domain emerge to diminish the binding affinity of first- and second-generation inhibitors. Other alternative resistance mechanisms include activating complementary bypass pathways and phenotypic transformation. Sequential monotherapies promise to temporarily address the problem of acquired drug resistance, but evidently are limited by the tumor cells’ ability to adapt and evolve new resistance mechanisms to persist in the drug environment. Recent studies have nominated a model of drug resistance and tumor progression under targeted therapy as a result of a small subpopulation of cells being able to endure the drug (minimal residual disease cells) and eventually develop further mutations that allow them to regrow and become the dominant population in the therapy-resistant tumor. This subpopulation of cells appears to have developed through a subclonal event, resulting in driver mutations different from the driver mutation that is tumor-initiating in the most common ancestor. As such, an understanding of intratumoral heterogeneity—the driving force behind minimal residual disease—is vital for the identification of resistance drivers that results from branching evolution. Currently available methods allow for a more comprehensive and holistic analysis of tumor heterogeneity in that issues associated with spatial and temporal heterogeneity can now be properly addressed. This review provides some background regarding intratumoral heterogeneity and how it leads to incomplete molecular response to targeted therapies, and proposes the use of single-cell methods, sequential liquid biopsy, and multiregion sequencing to discover the link between intratumoral heterogeneity and early adaptive drug resistance. In summary, minimal residual disease as a result of intratumoral heterogeneity is the earliest form of acquired drug resistance. Emerging technologies such as liquid biopsy and single-cell methods allow for studying targetable drivers of minimal residual disease and contribute to preemptive combinatorial targeting of both drivers of the tumor and its minimal residual disease cells.

Highlights

  • New technologies and analyses in genomics have paved the way for a paradigm shift in the diagnostics, classification, and treatment of many cancer types [1,2,3,4] including lung cancer [5, 6]

  • overall response rate (ORR) may be limited in representing treatment efficacy as it is a static measurement of the percentage of patients with reduction in tumor burden of a predefined amount, and it dichotomizes patients into responders and non-responders based on the Response Evaluation Criteria In Solid Tumors (RECIST)

  • This drawback of ORR is most evident in the FLAURA trial, in which the ORR in patients with epidermal growth factor receptor (EGFR) activating mutations was highly comparable between the osimertinib cohort and the standard-of-care first-generation EGFRTKI cohort (80% vs. 76%), the median progression-free survival (PFS) was significantly longer with osimertinib than with first-generation EGFR-Tyrosine kinase inhibitor (TKI) (18.9 months vs. 10.2 months) [42]

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Summary

Introduction

New technologies and analyses in genomics have paved the way for a paradigm shift in the diagnostics, classification, and treatment of many cancer types [1,2,3,4] including lung cancer [5, 6]. Other prominent examples of targeted therapies include kinase inhibitors of oncogenic receptor tyrosine kinases (RTKs) such as anaplastic lymphoma kinase (ALK), MET, ROS1, RET, and tropomyosin receptor kinase (TRK) as well as downstream target kinases such as BRAF. This phenomenon validated to a great extent the concept of “oncogene addiction” [10], in which tumors have grown to be dependent on the oncogenic activity of a single oncogene product to transform, proliferate, invade, and metastasize [11,12,13,14]. Harnessing the concept of oncogene addiction, genomics-guided targeted therapy has transformed the face of lung cancer treatment

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