| Literature DB >> 35145903 |
Erica Shen1,2, Amanda E D Van Swearingen3,4, Meghan J Price5, Ketan Bulsara1, Roeland G W Verhaak1,2,6, César Baëta4,5, Brice D Painter4,5, Zachary J Reitman5,7, April K S Salama3,4, Jeffrey M Clarke3,4, Carey K Anders3,4, Peter E Fecci4,5, C Rory Goodwin4,5, Kyle M Walsh4,5.
Abstract
As local disease control improves, the public health impact of brain metastases (BrM) continues to grow. Molecular features are frequently different between primary and metastatic tumors as a result of clonal evolution during neoplasm migration, selective pressures imposed by systemic treatments, and differences in the local microenvironment. However, biomarker information in BrM is not routinely obtained despite emerging evidence of its clinical value. We review evidence of discordance in clinically actionable biomarkers between primary tumors, extracranial metastases, and BrM. Although BrM biopsy/resection imposes clinical risks, these risks must be weighed against the potential benefits of assessing biomarkers in BrM. First, new treatment targets unique to a patient's BrM may be identified. Second, as BrM may occur late in a patient's disease course, resistance to initial targeted therapies and/or loss of previously identified biomarkers can occur by the time of occult BrM, rendering initial and other targeted therapies ineffective. Thus, current biomarker data can inform real-time treatment options. Third, biomarker information in BrM may provide useful prognostic information for patients. Appreciating the importance of biomarker analyses in BrM tissue, including how it may identify specific drivers of BrM, is critical for the development of more effective treatment strategies to improve outcomes for this growing patient population.Entities:
Keywords: biomarkers; brain metastases; discordance; neurosurgery; sequencing
Year: 2022 PMID: 35145903 PMCID: PMC8821807 DOI: 10.3389/fonc.2021.785064
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Summary of therapeutic possibilities and prognostic information associated with biomarkers in brain metastases.
| Biomarkers (types) | Mechanisms of Actions | Discordance Rates Between BrM and Primary And Extracranial Neoplasm Sites | Therapeutic Options if Biomarkers Are Present In BrM | Alternative Therapeutic Options if Drug Resistance Has Occurred | Associated Prognostic Information | |
|---|---|---|---|---|---|---|
|
| EGFR (mutation) | Receptor tyrosine kinase | 19%–66.7% ( | TKIs: afatinib; erlotinib or gefitinib + radiotherapy or chemotherapy ( | Osimertinib targeting EGFR T790M ( | ↑ PFS in EGFR-mutant tumors treated with icotinib vs. uncommon EGFR mutations ( |
| ALK (rearrangement) | Receptor tyrosine kinase | ALK fusion: rare | TKIs: ceritinib, alectinib, brigatinib, or lorlatinib ( | |||
| ALK amplification w/o fusion: 12.5% ( | ||||||
| ROS1 (rearrangement) | Receptor tyrosine kinase | ROS1 fusions enriched in BrM ( | TKIs: entrectinib, lorlatinib, ceritinib ( | |||
| MET (mutation/overexpression) | Receptor tyrosine kinase | Mutations and amplifications enriched in BrM ( | TKIs: tepotinib, capmatinib ( | Possibly contributing to EGFR treatment resistance; combination therapies under investigation ( | ||
| RET (mutation/rearrangement) | Receptor tyrosine kinase | TKIs: selpercatinib, pralsetinib ( | ||||
| KRAS (overexpression/mutation) | GTPase | 13% ( | TKIs: sotorasib (G12C) ( | |||
|
| ER/PR (expression/mutation) | Hormone receptor | ER: 13.6%–29.2% ( | Endocrine therapy: tamoxifen ( | ||
| PR: 4.2%–44.4% | ||||||
| HER2 (overexpression/mutation) | Receptor tyrosine kinase | 2.3%–23.8% ( | Anti-HER2: trastuzumab, pertuzumab, lapatinib ( | ↑ OS likely attributed to treatment effects ( | ||
| anti-AR: bicalutamide or enzalutamide ( | ||||||
| PTEN (loss) | Regulation of PI3K/AKT/mTOR pathway | Loss of PTEN is often seen in BrM, but is less commonly seen in extracranial sites ( | PARP inhibitors: olaparib, veliparib ( | Single-targeting therapies often found ineffective; combination therapies currently under investigation (e.g., HER3+PI3K or PI3K+mTOR) ( | ↓ time to tumor recurrence in a distant site ( | |
| ↓ OS in TNBC subtypes ( | ||||||
| CDK pathway (mutation/loss) | Serine/threonine protein kinase; regulation of G1 checkpoint | Clinically actionable alterations in the CDK pathway genes in 28% of BrM not seen in primaries ( | CDK4/6 inhibitors: abemaciclib, palbociclib, ribociclib ( | |||
| RB1 (loss) | Regulation of G1 checkpoint | RB1 loss more commonly observed in BrM ( | May contribute to CDK4/6 inhibitor treatment resistance ( | |||
| HK2 (overexpression) | Glucose metabolism | ↓ post-craniotomy survival in breast cancer patients w/BrM ( | ||||
|
| BRAF (mutation) | Serine–threonine kinase | 7% ( | TKIs: vemurafenib, dabrafenib ( |
RTKis, receptor tyrosine kinase inhibitors; OS, overall survival; PFS, progression-free survival.