scholarly journals The ESR1 Mutations: From Bedside to Bench to Bedside

2021 ◽  
Vol 81 (3) ◽  
pp. 537-538
Author(s):  
Francisco Hermida-Prado ◽  
Rinath Jeselsohn
Keyword(s):  
2016 ◽  
Vol 34 (25) ◽  
pp. 2961-2968 ◽  
Author(s):  
Charlotte Fribbens ◽  
Ben O’Leary ◽  
Lucy Kilburn ◽  
Sarah Hrebien ◽  
Isaac Garcia-Murillas ◽  
...  

Purpose ESR1 mutations are selected by prior aromatase inhibitor (AI) therapy in advanced breast cancer. We assessed the impact of ESR1 mutations on sensitivity to standard therapies in two phase III randomized trials that represent the development of the current standard therapy for estrogen receptor–positive advanced breast cancer. Materials and Methods In a prospective-retrospective analysis, we assessed ESR1 mutations in available archived baseline plasma from the SoFEA (Study of Faslodex Versus Exemestane With or Without Arimidex) trial, which compared exemestane with fulvestrant-containing regimens in patients with prior sensitivity to nonsteroidal AI and in baseline plasma from the PALOMA3 (Palbociclib Combined With Fulvestrant in Hormone Receptor–Positive HER2-Negative Metastatic Breast Cancer After Endocrine Failure) trial, which compared fulvestrant plus placebo with fulvestrant plus palbociclib in patients with progression after receiving prior endocrine therapy. ESR1 mutations were analyzed by multiplex digital polymerase chain reaction. Results In SoFEA, ESR1 mutations were found in 39.1% of patients (63 of 161), of whom 49.1% (27 of 55) were polyclonal, with rates of mutation detection unaffected by delays in processing of archival plasma. Patients with ESR1 mutations had improved progression-free survival (PFS) after taking fulvestrant (n = 45) compared with exemestane (n = 18; hazard ratio [HR], 0.52; 95% CI, 0.30 to 0.92; P = .02), whereas patients with wild-type ESR1 had similar PFS after receiving either treatment (HR, 1.07; 95% CI, 0.68 to 1.67; P = .77). In PALOMA3, ESR1 mutations were found in the plasma of 25.3% of patients (91 of 360), of whom 28.6% (26 of 91) were polyclonal, with mutations associated with acquired resistance to prior AI. Fulvestrant plus palbociclib improved PFS compared with fulvestrant plus placebo in both ESR1 mutant (HR, 0.43; 95% CI, 0.25 to 0.74; P = .002) and ESR1 wild-type patients (HR, 0.49; 95% CI, 0.35 to 0.70; P < .001). Conclusion ESR1 mutation analysis in plasma after progression after prior AI therapy may help direct choice of further endocrine-based therapy. Additional confirmatory studies are required.


Aging ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 3-4 ◽  
Author(s):  
Florian Clatot ◽  
Laetitia Augusto ◽  
Frédéric Di Fiore
Keyword(s):  

2020 ◽  
Vol 21 (22) ◽  
pp. 8807
Author(s):  
Nuri Lee ◽  
Min-Jeong Park ◽  
Wonkeun Song ◽  
Kibum Jeon ◽  
Seri Jeong

Approximately 70% of breast cancers, the leading cause of cancer-related mortality worldwide, are positive for the estrogen receptor (ER). Treatment of patients with luminal subtypes is mainly based on endocrine therapy. However, ER positivity is reduced and ESR1 mutations play an important role in resistance to endocrine therapy, leading to advanced breast cancer. Various methodologies for the detection of ESR1 mutations have been developed, and the most commonly used method is next-generation sequencing (NGS)-based assays (50.0%) followed by droplet digital PCR (ddPCR) (45.5%). Regarding the sample type, tissue (50.0%) was more frequently used than plasma (27.3%). However, plasma (46.2%) became the most used method in 2016–2019, in contrast to 2012–2015 (22.2%). In 2016–2019, ddPCR (61.5%), rather than NGS (30.8%), became a more popular method than it was in 2012–2015. The easy accessibility, non-invasiveness, and demonstrated usefulness with high sensitivity of ddPCR using plasma have changed the trends. When using these assays, there should be a comprehensive understanding of the principles, advantages, vulnerability, and precautions for interpretation. In the future, advanced NGS platforms and modified ddPCR will benefit patients by facilitating treatment decisions efficiently based on information regarding ESR1 mutations.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Christine Desmedt ◽  
Julien Pingitore ◽  
Françoise Rothé ◽  
Caterina Marchio ◽  
Florian Clatot ◽  
...  

Author(s):  
Weiyi Toy ◽  
Hazel Weir ◽  
Pedram Razavi ◽  
Michael Berger ◽  
Wai Lin Wong ◽  
...  
Keyword(s):  

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