Not all mutations are equal. PIK3CA alterations are often present from the start (truncal mutations), indicating a more aggressive cancer. In contrast, ESR1 mutations are typically acquired later as a direct mechanism of resistance to endocrine therapy, making repeat testing after disease progression crucial.
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ctDNA testing (liquid biopsy) is more effective than tissue biopsy for identifying ESR1 mutations. It samples DNA from all metastatic sites, capturing the disease's genetic heterogeneity and reflecting the most active resistance mechanisms, unlike a single-site needle biopsy which can miss them.
The SERENA-6 trial showed improved survival by switching therapy upon ctDNA detection of ESR1 mutations. However, it required screening over 3,300 patients to randomize just 315, highlighting the immense scale, cost, and patient drop-off of applying this serial monitoring strategy in standard clinical practice.
A study switching therapy based on ctDNA-detected ESR1 mutations revealed patients felt significantly better after the switch, even without visible tumor progression on scans. This counterintuitive finding suggests molecular progression has a subclinical impact on quality of life, supporting proactive, biomarker-driven treatment changes before patients clinically deteriorate.
NGS testing is revealing that acquired HER2 kinase domain mutations, not amplifications, are an emerging resistance mechanism in ER+ lobular breast cancer. This creates a targetable population for HER2 TKIs like neratinib or tucatinib, offering a new line of targeted therapy.
The term "hormone resistance" was misleading. Researchers discovered that even in a castrate state, prostate cancer tumors produce their own testosterone locally. This maintained androgen receptor signaling, proving the disease was still "androgen addicted" and opening the door for new targeted therapies.
An individual tumor can have hundreds of unique mutations, making it impossible to predict treatment response from a single genetic marker. This molecular chaos necessitates functional tests that measure a drug's actual effect on the patient's cells to determine the best therapy.
The same cancer-driving mutation behaves differently depending on the cell's internal "wiring." For example, a drug targeting a mutation works in melanoma but induces resistance in colorectal cancer due to a bypass pathway. This cellular context is why genetic data alone is insufficient.
Clinical trials use arbitrary, time-based definitions (e.g., relapse within 2 years) for endocrine resistance. This isn't a perfect biological classification but a practical necessity to create homogeneous patient groups for testing, which may not fully reflect the diverse patient population in clinical practice.
Despite the presence of PIK3CA mutations in some triple-negative breast cancer (TNBC) tumors, Phase III trials with AKT inhibitors have been negative. Currently, there is insufficient evidence to support using PI3K/AKT pathway inhibitors for TNBC in clinical practice.
Cellcuity's drug is effective in breast cancer patients without PIK3CA mutations (wild type). This challenges the dominant precision medicine model that requires a specific genetic marker, showing that a pathway's aberrant activity can be a sufficient therapeutic target on its own.
