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. 2023 May 6;15(9):2632. doi: 10.3390/cancers15092632

Detection of Ultra-Rare ESR1 Mutations in Primary Breast Cancer Using LNA-Clamp ddPCR

Yoko Hashimoto 1, Nanae Masunaga 1,*, Naofumi Kagara 2, Kaori Abe 1, Tetsuhiro Yoshinami 1, Masami Tsukabe 1, Yoshiaki Sota 1, Tomohiro Miyake 1, Tomonori Tanei 1, Masafumi Shimoda 1, Kenzo Shimazu 1
Editor: David Wong
PMCID: PMC10177270  PMID: 37174098

Abstract

Simple Summary

ESR1 mutations in breast cancer are one of the mechanisms of resistance to aromatase inhibitors (AI). These mutations are common in metastatic breast cancer (MBC). In past reports, mutations in primary tumors were so rare that they were thought to occur de novo with AI therapy. Conversely, previous studies using droplet digital polymerase chain reaction (ddPCR) have suggested the existence of ESR1-mutant minor clones with low allele frequencies; however, no large-scale studies have been conducted. In this study, we attempted to detect ultra-rare ESR1 mutations in primary breast cancer tumors using locked nucleic acid (LNA)-clamp ddPCR, and 28 ESR1 mutations were found in 27 patients. Most of these mutations were minor clones with a variant allele frequency of <0.1% which may have been overlooked by conventional methods. LNA-clamp ddPCR can also be applied to detect other gene mutations, which would be very useful.

Abstract

ESR1 mutations in breast cancer are one of the mechanisms of resistance to aromatase inhibitors. These mutations are common in metastatic breast cancer; however, these are rare in primary breast cancer. However, these data have been analyzed mainly in formalin-fixed, paraffin-embedded tissue; thus, rare mutations that may be present in primary breast cancer may be overlooked. In this study, we developed a highly sensitive mutation detection method called locked nucleic acid (LNA)-clamp droplet digital PCR (ddPCR) and validated it. The mutation detection sensitivity was substantiated to 0.003%. Then, we used this method to analyze ESR1 mutations in fresh-frozen (FF) tissues of primary breast cancer. cDNA extracted from the FF tissues of 212 patients with primary breast cancers were measured. Twenty-eight ESR1 mutations were found in twenty-seven (12.7%) patients. Sixteen (7.5%) patients had Y537S mutations and twelve (5.7%) had D538G mutations. Two mutations with a variant allele frequency (VAF) of ≥0.1% and twenty-six mutations with a VAF of <0.1% were found. By using this LNA-clamp ddPCR, this study demonstrated the presence of minor clones with a VAF of <0.1% in primary breast cancer.

Keywords: ESR1 mutation, primary breast cancer, minor clone, clamping PCR, droplet dPCR

1. Introduction

Approximately 70% of breast cancers are estrogen receptor (ER)-positive and are eligible for endocrine therapy [1]. Endocrine therapy, which has fewer side effects, is generally the preferred treatment for ER-positive breast cancer [2,3], although many cases develop resistance during treatment [4]. Recently, mutations in the ESR1 gene, which encodes for the estrogen receptor (ER), have been reported as one mechanism of resistance and are found to occur frequently after long-term aromatase inhibitor (AI) therapy [5]. These mutations result in estrogen-independent ER activity [6,7,8], which is resistant to various subsequent therapies and affects overall survival [9,10]. The expression of ESR1 mutations in breast cancer is more common in hormone receptor-positive metastatic breast cancers (MBC) [6,7,11,12,13,14]. On the contrary, ESR1 mutations in primary breast cancer have been reported to be extremely rare [6,13,15,16]. Thus, ESR1 mutations have been thought to occur with aromatase inhibitor (AI) therapy [14]; however, these ESR1 mutations in primary tumors have been analyzed mainly through formalin-fixed paraffin-embedded (FFPE) tissue [15,17]. The mutation detection sensitivity using FFPE is approximately 10% due to DNA denaturation caused by deamination and other reactions [18,19]. However, recent studies have suggested that ESR1 mutations with allele frequencies of ≤10% may exist by using highly sensitive detection methods such as ddPCR [20,21]. Thus, we hypothesized that ESR1-mutant subclones present in trace amounts in primary tumors may selectively proliferate under low estrogen levels in AI therapy, leading to recurrence. Based on this hypothesis, we attempted to detect trace amounts of ESR1 mutations using fresh-frozen (FF) tissues of primary tumors which may have been missed in the past.

To detect minor clones in primary tumors, a more sensitive detection method was needed. The theoretical sensitivity of droplet digital polymerase chain reaction (ddPCR) was reported to be 0.001% [11,22]. However, the maximum amount of DNA that can be submitted at one time is 20,000 copies. Usually, two or more dots above the threshold are considered mutant-positive, so the actual sensitivity for mutant detection is approximately 0.01% [23]. The sensitivity of next-generation sequencing (NGS) is approximately 0.05–2% [23,24,25]. However, in clinical samples, it is approximately 0.1% [26]. Therefore, we developed a high-sensitivity mutation detection method called LNA-clamp ddPCR. LNA-clamp ddPCR is a PCR method that can amplify only the target sequence by mixing in LNA, which is an artificial nucleic acid that specifically binds to a specific sequence [27,28]. When PCR is performed with a mixture of LNA that specifically binds to the wild-type sequence, the amplification of the wild type is inhibited and only the mutant type is amplified (Figure S1). This method can increase the MAFs and be used to detect rare mutations that cannot be detected via conventional methods. In addition, mRNA was used instead of DNA to obtain numerous ESR1 copies and detect pathogenic mutations with gene expression.

In this study, we used this method to analyze ESR1 mutations in mRNA extracted from FF tissues of 212 ER-positive primary breast cancers. The ESR1 mutations were analyzed for the two most representative locations, Y537S (1610A>C) and D538G (1613A>G). These mutations are the most frequent sites of ESR1 mutations [16,29]. The mutations detected were differentiated into those that could be detected with the sensitivity of conventional methods (defined as major clones) and those that required more sensitivity (defined as minor clones).

2. Materials and Methods

2.1. Cell Culture and DNA/mRNA Extraction

Ten breast cancer cell lines (MCF7, T47D, ZR75-1, ZR75-30, BT483, BT20, MDA-MB-231, SK-BR3, MDA-MB-468, and MDA-MB-453) obtained from the American Type Culture Collection (Manassas, VA, USA) were cultured according to the culture guidelines of the American Type Culture Collection. Equal amounts of DNA and mRNA were extracted from the same dish cell-suspended liquid using the DNeasy Blood and Tissue Kit and the RNeasy Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions (https://www.qiagen.com/us/products/discovery-and-translational-research/dna-rna-purification/dna-purification/genomic-dna/dneasy-blood-and-tissue-kit (accessed on 20 March 2023), https://www.qiagen.com/us/products/discovery-and-translational-research/dna-rna-purification/rna-purification/total-rna/rneasy-kits?catno=74104 (accessed on 20 March 2023)). Then, ESR1 expression levels in the DNA and mRNA were compared in 10 breast cancer cell lines.

2.2. Patients and Samples

This study included a total of 212 patients who were treated at Osaka University Hospital between 2009 and 2018. All patients had estrogen receptor (ER)-positive breast cancer. ER positivity was defined as an Allred score of >3 [30]. The clinicopathological characteristics of the patients are shown in Table 1. FF tissues were obtained from the primary tumor at the time of surgery. No patients received preoperative therapy before tissue sampling.

Table 1.

Clinicopathological characteristics of the patients.

N 212
Age Median (range) 60 (33–96)
Tumor size (cm) ≤2 168
>2 44
Lymph node metastasis Negative 178
Positive 34
Histological grade 1/2 184
3 28
ER Positive 212
Negative 0
PgR Positive 177
Negative 35
HER2 Positive 26
Negative 186
Histology IDC 174
ILC 17
Other 21
Prognosis No recurrence 199
Recurrence 13

ER—estrogen receptor, HER2—human epidermal growth factor receptor 2, IDC—invasive ductal carcinoma, ILC—invasive lobular carcinoma, and PgR—progesterone receptor.

Informed consent was obtained from all patients before sampling, and the Ethical Review Board of Osaka University Hospital approved this study (Ethics approval No. 20399). This study was conducted with anonymous numbers so that individuals could not be identified.

2.3. mRNA Extraction from Primary Tumors and Reverse Transcription

Tumor mRNA was extracted from FF tissues using the RNeasy Mini Kit (Qiagen) according to the manufacturer’s instructions. Tumor mRNA was reverse-transcribed to cDNA using the ReverTra Ace qPCR RT Kit (TOYOBO, Osaka, Japan) according to the manufacturer’s instructions (https://lifescience.toyobo.co.jp/user_data/pdf/products/manual/FSQ-101.pdf, accessed on 20 March 2023).

2.4. LNA-Clamp ddPCR from Primary Tumors

The PCR clamping assay was performed using the specific LNA oligo (Ajinomoto Bio Pharma, Osaka, Japan). The targets of the ESR1 mutations were Y537S (1610A>C) and D538G (1613A>G). Each of the LNA oligos are shown in Table S1. Y537S and D538G DNA oligos (FASMAC, Kanagawa, Japan) were used as positive controls. We confirmed that these oligos worked with the primers and probes we used. Each of the mutant oligos are shown in Table S1. For ddPCR, the QX200 Droplet Digital PCR System (Bio-Rad Laboratories, Hercules, CA, USA) was used.

ddPCR was performed in a 20-μL reaction containing 8.6 μL of template cDNA, 10 μL of ddPCR Supermix (Bio-Rad Laboratories), 0.9 μM each of the forward and reverse primer, 0.9 μM of specific LNA oligo, and 0.25 μM each of the wild-type and mutant (Y537S or D538G) probes. The primers and probes used are shown in Table S1. Then, 20 μL of PCR reaction and 67 μL of droplet generation oil were loaded into a cartridge of the droplet generator and placed onto a thermal cycler for PCR. The cycling conditions were as follows: one cycle of 95 °C for 10 min, 40 cycles of 94 °C for 30 s and 54 °C for 1 min, and one cycle of 98 °C for 10 min.

As a control, a normal ddPCR without LNA oligo was performed simultaneously. The input cDNA copy number was calculated from this result. Regarding the standardization of the samples, we first checked the copy number of the reverse-transcribed cDNA ddPCR using 1 μL of extracted DNA, and we adjusted the input copy number to 100,000 copies for LNA-clamp ddPCR.

2.5. Statistics

R (ver. 4.0.3) was used for statistical processing. To examine the significance of the association, Fisher’s exact test was used to compare 2 × 2 groups, and the Mann–Whitney U test was used to compare the age distribution and duration of therapy. A two-way analysis of variance and Tukey’s test were used to analyze sensitivity. A p < 0.05 was considered significant.

3. Results

3.1. Comparison of ESR1 Expression Levels between DNA and mRNA in Cell Lines

ESR1 expression levels between DNA and mRNA were compared in 10 breast cancer cell lines to verify that mRNA provides a higher copy number in ER-positive breast cancer. mRNA had higher ESR1 expression levels than DNA in ER-positive cells (the mRNA/DNA ratios were as follows: MCF7: 8.92, T47D: 3.94, ZR75-1: 1.62, ZR75-30: 1.62, and BT483: 1.02). ESR1 was less expressed in mRNA than in DNA in ER-negative cells (the mRNA/DNA ratios were as follows: BT20: 0.27, MDA-MB-231: 0.12, SKBR3: 0.01, MDA-MB-468: 0.01, and MDA-MB-453: 0.00) (Figure S2). Therefore, this study targeted mRNA from ER-positive tumors.

3.2. Confirmation of the Clamping Method Using LNA Oligo

To confirm the clamping effect of the designed ESR1 Y537S (1610A>C) LNA oligo and ESR1 D538G (1613A>G) LNA oligo, PCR clamping was performed on samples with serially diluted wild-type oligo from 6000 to 60,000,000 copies. The concentrations of LNA oligo were 0, 1, and 3 μM. Both the Y537S and D538G LNA oligos could be clamped completely up to 60,000,000 copies at LNA 3 μM (Figure S3a,b).

To examine the effect of LNA oligo on the mixture sample of mutant DNA and wild-type DNA collected from leukocytes of healthy volunteers, mutant DNA (Y537S and D538G) was serially diluted into wild-type DNA (total copy number (mutant + wild-type) = 20,000 copies). Mixed samples of 100%, 33%, 10%, 3.3%, 1.0%, 0.3%, 0.1%, and 0% were prepared. PCR was performed on these DNA samples with and without the LNA oligo to examine the effect of the LNA oligo on mutant DNA. Consequently, the LNA oligo completely blocked the wild-type DNA but did not affect the mutant DNA (Figure S4a,b).

3.3. Detection Sensitivity and Cutoff of the LNA-Clamp ddPCR

We examined the effect of the LNA-clamp ddPCR on the analysis of mutant DNA mixed with an excess amount of wild-type DNA. Samples were prepared by mixing 100,000 copies of wild-type DNA from the leukocytes of healthy volunteers with serially diluted mutant DNA (Y537S) (0, 1, 3, 10, 33, and 100 copies) at six concentrations. PCR was performed with and without the LNA oligo to confirm the sensitivity of the clamp method. Moreover, a sample of mutant DNA (Y537S) (0, 1, 3, 10, 33, and 100 copies) mixed with 10,000 copies of wild-type DNA was also prepared as a reference (Figure 1).

Figure 1.

Figure 1

Sensitivity test for LNA-clamp PCR. Comparison of the sensitivity with serially diluted Y537S mutant DNA (1, 3, 10, 33, and 100 copies) in wild-type DNA (with or without clamp; the references are 100,000 copies and 10,000 copies, respectively). The input mutant copy number (log) was plotted on the X-axis and the output mutant copy number (log) was plotted on the Y-axis. The samples with the LNA oligo (clamp: red line), without the LNA oligo (no clamp: blue line), and the reference (black line) are shown. Error bars indicate the standard deviation over 10 experiments.

A two-way analysis of variance was performed for the three methods of measurements (with LNA, without LNA, and reference) and six concentration samples, and the interaction was observed (p < 0.001). Therefore, a multiple-comparison test (Tukey’s test) was performed. The results of Tukey’s test showed that all samples measured using the clamp method (with LNA) did not differ from the reference results (p = n.s.). The no-clamp method (without LNA) was found to have inferior power compared to the reference results for samples from 0.1% to 0.003% (p < 0.05).

Then, LNA-clamp ddPCR was performed on Y537S and D538G using cDNA reverse-transcribed from mRNA extracted from 26 normal mammary tissues and the leukocytes of 19 healthy volunteers to measure the background amplitude of the LNA-clamp ddPCR (Figure S5a,b). For each well, the fluorescence intensities of the highest and second-highest dots were calculated and a cutoff line was set so that no well had more than two positive dots in the background sample. Consequently, the threshold lines were set at a fluorescence intensity of 1400 for Y537S and 2250 for D538G.

3.4. ESR1 Mutation Analysis of Primary Breast Cancer Using LNA-Clamp ddPCR

ESR1 mutations were measured with an LNA-clamp ddPCR of cDNA extracted from FF tissues of 212 patients with primary breast cancers. Twenty-eight ESR1 mutations were found in twenty-seven (12.7%) patients (Figure 2), which included sixteen (7.5%) Y537S mutations and twelve (5.7%) D538G mutations. Two mutations with a VAF of ≥0.1% (as major clones) and twenty-six mutations with a VAF of <0.1% (as minor clones) were found. Double mutation was observed in one case. Mutations and VAF for each case are shown in Table 2. All cases underwent conventional ddPCR before LNA-clamp PCR, but only major clones were detected, not minor clones. Thirty cases also underwent additional NGS as a pilot study, but no minor clones were detected. No relevance was found between clinicopathological features and mutation status (Table 3). The details of postoperative AI treatment is shown in Table S2. Regarding only the patients with recurrence, the ESR1 mutation-positive group tended to have a shorter duration of AI treatment for recurrence, but this was not statistically significant (Tables S3 and S4).

Figure 2.

Figure 2

Schematic distribution of ESR1 mutations identified with LNA-clamp ddPCR. FF tissue from 212 primary tumors was analyzed with LNA-clamp ddPCR. Twenty-six mutations with VAF < 0.1% (blue) and two mutations with VAF ≥ 0.1% (red) were detected in twenty-seven patients. The number in each lollipop represents the patient number. AF-1—activation function-1, DBD—DNA-binding domain, HR—hinge region, AF-2—activation function-2, and LBD—ligand-binding domain.

Table 2.

Detailed clamping PCR results for 28 ESR1 mutations.

Case AA Change SNV VAF (%) Mutant Copy Number (per Well) Total Copy Number (per Well)
1 Y537S 1610A>C 0.0025 2.8 111,150
38 Y537S 1610A>C 0.0031 3.6 116,800
49 Y537S 1610A>C 0.0022 2.8 129,000
59 Y537S 1610A>C 0.0028 3 108,800
84 Y537S 1610A>C 0.0018 2.8 158,000
117 Y537S 1610A>C 0.0023 2.4 106,540
119 Y537S 1610A>C 0.0021 2.6 121,200
120 Y537S 1610A>C 0.0024 2.6 108,500
121 Y537S 1610A>C 0.0037 3.8 102,200
139 Y537S 1610A>C 0.1580 6.8 4304
165 Y537S 1610A>C 0.0053 2.6 48,640
173 Y537S 1610A>C 0.0106 3 28,320
177 Y537S 1610A>C 0.0025 2.8 112,800
194 Y537S 1610A>C 0.0026 2.6 101,700
202 Y537S 1610A>C 0.0028 2.6 91,280
132 Y537S 1610A>C 0.0034 2.8 81,280
132 D538G 1613A>G 0.0034 2.8 81,280
2 D538G 1613A>G 0.0041 2.6 63,840
7 D538G 1613A>G 0.0119 2.8 23,520
68 D538G 1613A>G 0.0110 4.8 43,520
144 D538G 1613A>G 0.0422 2.8 6640
145 D538G 1613A>G 0.0060 2.8 46,690
146 D538G 1613A>G 0.0111 3 27,040
158 D538G 1613A>G 0.0053 3 56,480
187 D538G 1613A>G 0.0053 2.8 52,800
207 D538G 1613A>G 0.0111 2.6 23,520
211 D538G 1613A>G 0.0039 3.8 96,480
212 D538G 1613A>G 1.6260 36 2178

AA—amino acid, SNV—single nucleotide variant, and VAF—variant allele frequency.

Table 3.

Clinicopathological features of patients and comparison with and without ESR1 mutation.

ESR1 p
Positive Negative
N 27 185
Age Median (range) 60 (36–83) 60 (33–95) 0.32 *
Tumor size (cm) ≤2 23 145 0.61 **
>2 4 40
Lymph node metastasis Positive 4 30 1.00 **
Negative 23 155
PgR Positive 23 154 1.00 **
Negative 4 31
HER2 Positive 2 24 0.54 **
Negative 25 161
Histological grade 1 11 77 1.00 **
2/3 16 108
Prognosis No recurrence 24 175 0.22 **
Recurrence 3 10

HER2—Human epidermal growth factor receptor 2, PgR—progesterone receptor. * Mann–Whitney U test, ** Fisher’s exact test.

4. Discussion

In this study, we established the LNA-clamp ddPCR to detect ESR1 minor clones with high sensitivity. The clamp method is a PCR method in which only the target base sequence can be amplified by mixing artificial nucleic acids (LNA oligo, etc.) that bind specifically to a particular base sequence [27,31,32]. Then, we developed a method to detect trace amounts of mutant DNA by specifically clamping ESR1 wild-type DNA using LNA oligo. Furthermore, mRNA was used instead of DNA to obtain a larger copy number of ESR1 and detect pathogenic mutations with gene expression.

We demonstrated the presence of minor clones with a VAF of <0.1% in primary breast cancer using this LNA-clamp ddPCR. Then, 212 primary breast cancers were analyzed, find that 27 patients (12.7%) had 28 ESR1 mutations. Twenty-six mutations were minor clones with a VAF of <0.1% which conventional methods (NGS, MB-NGS, and ddPCR) may have overlooked.

We used FF tissues of the primary tumor instead of FFPE to detect mutations, and this is a very valuable finding. In this study, Y537S and D538G mutations were present in ligand-binding domain hotspots and accounted for approximately 50% of all ESR1 mutations [6,11,33]. Y537S and D538G mutations were found in approximately 12.7% of the primary tumors analyzed in this study, and approximately 25% of ESR1 mutations of whole exons were present in the primary tumors, which is close to the frequency of ESR1 mutations reported for recurrent breast cancers (20–50%) [7,11,14,33,34,35]. These results support our hypothesis.

In this study, no significant difference was found in prognosis according to the presence or absence of ESR1 mutations in primary tumors. One of the reasons for this is that only 12 (44%) of the 27 patients with ESR1 mutations in primary tumors received AI as adjuvant therapy. Even if the primary tumor has an ESR1 mutation as a minor clone, it has no effect on the prognosis when clonal selection could be avoided. When we discussed only 13 recurrent cases, the ESR1 mutation-positive group tended to have a shorter response time to AI treatment for recurrence (not statistically significant). This suggests resistance to AI due to clonal selection, but these results are based on very few cases. A larger number of cases would strengthen the significance of this result.

As for study limitations, first, only two ESR1 hotspot mutations (Y537S and D538G) were analyzed. We focused on two mutations with a higher frequency of ESR1 mutations to extract and analyze the maximum amount of mRNA from a limited amount of tumor tissue because ddPCR requires analysis for each position of the mutation. Second, because of the limited number of cases that recurred, it was not possible to trace the mutations found in the primary tumor in the recurrent tissue.

In the future, we plan to analyze other ESR1 mutations using LNA-clamp ddPCR to determine the mechanism of recurrence within ESR1 mutations. We also plan to apply this method to analyze other gene mutations.

5. Conclusions

We have developed a highly sensitive mutation detection method called LNA-clamp ddPCR, and this study demonstrated the presence of minor clones with a VAF of <0.1% in primary breast cancer.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers15092632/s1. Table S1: Primers, probes, mutant oligos, and LNA oligos for ddPCR. Table S2: AI treatment for adjuvant setting. Table S3: Treatment status of 13 recurrent cases. Table S4: Duration of AI in a recurrence setting. Figure S1: Description of LNA-clamp ddPCR. Figure S2: Ratio of the mRNA expression of ESR1 to the DNA expression in breast cancer cell lines. Figure S3: (a,b): Clamping effect of LNA oligo. Figure S4: Sensitivity test for the PCR clamping method, Y537S (a) and D538G (b). Figure S5: Backgrounds of LNA-clamp PCR, Y537S (a), and D538G (b).

Author Contributions

Conceptualization, N.K., N.M. and Y.H.; Methodology, N.K., N.M. and Y.H.; Validation, N.K., N.M. and Y.H.; Formal Analysis, Y.H.; Investigation, Y.H.; Resources, N.M., N.K., K.A., T.Y., M.T., Y.S., T.M., T.T., M.S. and K.S.; Data Curation, N.M. and Y.H.; Writing—Original Draft Preparation, N.M. and Y.H; Writing—Review & Editing, N.M. and Y.H.; Visualization, N.M. and Y.H.; Supervision, N.M.; Project Administration, N.M.; Funding Acquisition, N.K. and N.M. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

This study complied with the current laws of Japan. The study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Ethical Review Board of Osaka University Hospital (protocol code 20399 and 7 January 2021).

Informed Consent Statement

Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

Data is contained within the article or Supplementary Materials.

Conflicts of Interest

This study was supported by research funding from AstraZeneca. N.K. and N.M. received a research grant from AstraZeneca. The other authors declare that they have no competing interests.

Funding Statement

This study was supported by research funding from AstraZeneca [Tracking No. J200701210]. N.K. and N.M. received a research grant from AstraZeneca.

Footnotes

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References

  • 1.Yamashita H., Iwase H., Toyama T., Takahashi S., Sugiura H., Yoshimoto N., Endo Y., Fujii Y., Kobayashi S. Estrogen receptor-positive breast cancer in Japanese women: Trends in incidence, characteristics, and prognosis. Ann. Oncol. 2011;22:1318–1325. doi: 10.1093/annonc/mdq596. [DOI] [PubMed] [Google Scholar]
  • 2.Hortobagyi G.N. Treatment of Breast Cancer. N. Eng. J. Med. 1998;339:974–984. doi: 10.1056/NEJM199810013391407. [DOI] [PubMed] [Google Scholar]
  • 3.Cardoso F., Paluch-Shimon S., Senkus E., Curigliano G., Aapro M.S., Andre F., Barrios C.H., Bergh J., Bhattacharyya G.S., Biganzoli L., et al. 5th ESO-ESMO international consensus guidelines for advanced breast cancer (ABC 5) Ann. Oncol. 2020;31:1623–1649. doi: 10.1016/j.annonc.2020.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Osborne C.K., Schiff R. Mechanisms of endocrine resistance in breast cancer. Annu. Rev. Med. 2011;62:233–247. doi: 10.1146/annurev-med-070909-182917. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Oesterreich S., Davidson N.E. The search for ESR1 mutations in breast cancer. Nat. Genet. 2013;45:1415–1416. doi: 10.1038/ng.2831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Toy W., Shen Y., Won H., Green B., Sakr R.A., Will M., Li Z., Gala K., Fanning S., King T.A., et al. ESR1 ligand-binding domain mutations in hormone-resistant breast cancer. Nat. Genet. 2013;45:1439–1445. doi: 10.1038/ng.2822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Robinson D.R., Wu Y.M., Vats P., Su F., Lonigro R.J., Cao X., Kalyana-Sundaram S., Wang R., Ning Y., Hodges L., et al. Activating ESR1 mutations in hormone-resistant metastatic breast cancer. Nat. Genet. 2013;45:1446–1451. doi: 10.1038/ng.2823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Jeselsohn R., Yelensky R., Buchwalter G., Frampton G., Meric-Bernstam F., Gonzalez-Angulo A.M., Ferrer-Lozano J., Perez-Fidalgo J.A., Cristofanilli M., Gomez H., et al. Emergence of constitutively active estrogen receptor-alpha mutations in pretreated advanced estrogen receptor-positive breast cancer. Clin. Cancer Res. 2014;20:1757–1767. doi: 10.1158/1078-0432.CCR-13-2332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Clatot F., Perdrix A., Augusto L., Beaussire L., Delacour J., Calbrix C., Sefrioui D., Viailly P.J., Bubenheim M., Moldovan C., et al. Kinetics, prognostic and predictive values of ESR1 circulating mutations in metastatic breast cancer patients progressing on aromatase inhibitor. Oncotarget. 2016;7:74448–74459. doi: 10.18632/oncotarget.12950. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Zhang K., Hong R., Xu F., Xia W., Kaping L., Qin G., Zheng Q., Lu Q., Shi Y.X., Yuan Z.Y., et al. Clinical value of circulating ESR1 mutations for patients with metastatic breast cancer: A meta-analysis. Cancer Manag. Res. 2018;10:2573–2580. doi: 10.2147/CMAR.S173193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Angus L., Beije N., Jager A., Martens J.W., Sleijfer S. ESR1 mutations: Moving towards guiding treatment decision-making in metastatic breast cancer patients. Cancer Treat. Rev. 2017;52:33–40. doi: 10.1016/j.ctrv.2016.11.001. [DOI] [PubMed] [Google Scholar]
  • 12.De Santo I., McCartney A., Migliaccio I., Di Leo A., Malorni L. The Emerging Role of ESR1 Mutations in Luminal Breast Cancer as a Prognostic and Predictive Biomarker of Response to Endocrine Therapy. Cancers. 2019;11:1894. doi: 10.3390/cancers11121894. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Yanagawa T., Kagara N., Miyake T., Tanei T., Naoi Y., Shimoda M., Shimazu K., Kim S.J., Noguchi S. Detection of ESR1 mutations in plasma and tumors from metastatic breast cancer patients using next-generation sequencing. Breast Cancer Res. Treat. 2017;163:231–240. doi: 10.1007/s10549-017-4190-z. [DOI] [PubMed] [Google Scholar]
  • 14.Brett J.O., Spring L.M., Bardia A., Wander S.A. ESR1 mutation as an emerging clinical biomarker in metastatic hormone receptor-positive breast cancer. Breast Cancer Res. 2021;23:85. doi: 10.1186/s13058-021-01462-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Takeshita T., Yamamoto Y., Yamamoto-Ibusuki M., Inao T., Sueta A., Fujiwara S., Omoto Y., Iwase H. Droplet digital polymerase chain reaction assay for screening of ESR1 mutations in 325 breast cancer specimens. Transl. Res. 2015;166:540–553.e2. doi: 10.1016/j.trsl.2015.09.003. [DOI] [PubMed] [Google Scholar]
  • 16.Toy W., Weir H., Razavi P., Lawson M., Goeppert A.U., Mazzola A.M., Smith A., Wilson J., Morrow C., Wong W.L., et al. Activating ESR1 Mutations Differentially Affect the Efficacy of ER Antagonists. Cancer Discov. 2017;7:277–287. doi: 10.1158/2159-8290.CD-15-1523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Razavi P., Chang M.T., Xu G., Bandlamudi C., Ross D.S., Vasan N., Cai Y., Bielski C.M., Donoghue M.T.A., Jonsson P., et al. The Genomic Landscape of Endocrine-Resistant Advanced Breast Cancers. Cancer Cell. 2018;34:427–438.e6. doi: 10.1016/j.ccell.2018.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Quach N., Goodman M.F., Shibata D. In vitro mutation artifacts after formalin fixation and error prone translesion synthesis during PCR. BMC Clin. Pathol. 2004;4:1. doi: 10.1186/1472-6890-4-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bruskov V.I., Malakhova L.V., Masalimov Z.K., Chernikov A.V. Heat-induced formation of reactive oxygen species and 8-oxoguanine, a biomarker of damage to DNA. Nucleic Acids Res. 2002;30:1354–1363. doi: 10.1093/nar/30.6.1354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wang P., Bahreini A., Gyanchandani R., Lucas P.C., Hartmaier R.J., Watters R.J., Jonnalagadda A.R., Trejo Bittar H.E., Berg A., Hamilton R.L., et al. Sensitive Detection of Mono- and Polyclonal ESR1 Mutations in Primary Tumors, Metastatic Lesions, and Cell-Free DNA of Breast Cancer Patients. Clin. Cancer Res. 2016;22:1130–1137. doi: 10.1158/1078-0432.CCR-15-1534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gelsomino L., Gu G., Rechoum Y., Beyer A.R., Pejerrey S.M., Tsimelzon A., Wang T., Huffman K., Ludlow A., Ando S., et al. ESR1 mutations affect anti-proliferative responses to tamoxifen through enhanced cross-talk with IGF signaling. Breast Cancer Res. Treat. 2016;157:253–265. doi: 10.1007/s10549-016-3829-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Vogelstein B., Kinzler K.W. Digital PCR. Proc. Natl. Acad. Sci. USA. 1999;96:9236–9241. doi: 10.1073/pnas.96.16.9236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Diaz L.A., Jr., Bardelli A. Liquid biopsies: Genotyping circulating tumor DNA. J. Clin. Oncol. 2014;32:579–586. doi: 10.1200/JCO.2012.45.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Glenn T.C. Field guide to next-generation DNA sequencers. Mol. Ecol. Resour. 2011;11:759–769. doi: 10.1111/j.1755-0998.2011.03024.x. [DOI] [PubMed] [Google Scholar]
  • 25.Quail M.A., Kozarewa I., Smith F., Scally A., Stephens P.J., Durbin R., Swerdlow H., Turner D.J. A large genome center’s improvements to the Illumina sequencing system. Nat. Methods. 2008;5:1005–1010. doi: 10.1038/nmeth.1270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Masunaga N., Kagara N., Motooka D., Nakamura S., Miyake T., Tanei T., Naoi Y., Shimoda M., Shimazu K., Kim S.J., et al. Highly sensitive detection of ESR1 mutations in cell-free DNA from patients with metastatic breast cancer using molecular barcode sequencing. Breast Cancer Res. Treat. 2018;167:49–58. doi: 10.1007/s10549-017-4487-y. [DOI] [PubMed] [Google Scholar]
  • 27.Nagai Y., Miyazawa H., Huqun, Tanaka T., Udagawa K., Kato M., Fukuyama S., Yokote A., Kobayashi K., Kanazawa M., et al. Genetic heterogeneity of the epidermal growth factor receptor in non-small cell lung cancer cell lines revealed by a rapid and sensitive detection system, the peptide nucleic acid-locked nucleic acid PCR clamp. Cancer Res. 2005;65:7276–7282. doi: 10.1158/0008-5472.CAN-05-0331. [DOI] [PubMed] [Google Scholar]
  • 28.Ikenaga M., Sakai M. Application of Locked Nucleic Acid (LNA) oligonucleotide-PCR clamping technique to selectively PCR amplify the SSU rRNA genes of bacteria in investigating the plant-associated community structures. Microbes Environ. 2014;29:286–295. doi: 10.1264/jsme2.ME14061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Chung J.H., Pavlick D., Hartmaier R., Schrock A.B., Young L., Forcier B., Ye P., Levin M.K., Goldberg M., Burris H., et al. Hybrid capture-based genomic profiling of circulating tumor DNA from patients with estrogen receptor-positive metastatic breast cancer. Ann. Oncol. 2017;28:2866–2873. doi: 10.1093/annonc/mdx490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Allred D.C., Harvey J.M., Berardo M., Clark G.M. Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod. Pathol. 1998;11:155–168. [PubMed] [Google Scholar]
  • 31.Sun Y., Tian H., Liu C., Yang D., Li Z. A Clamp-Based One-Step Droplet Digital Reverse Transcription PCR (ddRT-PCR) for Precise Quantitation of Messenger RNA Mutation in Single Cells. ACS Sens. 2018;3:1795–1801. doi: 10.1021/acssensors.8b00524. [DOI] [PubMed] [Google Scholar]
  • 32.Thiede C., Creutzig E., Illmer T., Schaich M., Heise V., Ehninger G., Landt O. Rapid and sensitive typing of NPM1 mutations using LNA-mediated PCR clamping. Leukemia. 2006;20:1897–1899. doi: 10.1038/sj.leu.2404367. [DOI] [PubMed] [Google Scholar]
  • 33.Fribbens C., O’Leary B., Kilburn L., Hrebien S., Garcia-Murillas I., Beaney M., Cristofanilli M., Andre F., Loi S., Loibl S., et al. Plasma ESR1 Mutations and the Treatment of Estrogen Receptor-Positive Advanced Breast Cancer. J. Clin. Oncol. 2016;34:2961–2968. doi: 10.1200/JCO.2016.67.3061. [DOI] [PubMed] [Google Scholar]
  • 34.Chandarlapaty S., Chen D., He W., Sung P., Samoila A., You D., Bhatt T., Patel P., Voi M., Gnant M., et al. Prevalence of ESR1 Mutations in Cell-Free DNA and Outcomes in Metastatic Breast Cancer: A Secondary Analysis of the BOLERO-2 Clinical Trial. JAMA Oncol. 2016;2:1310–1315. doi: 10.1001/jamaoncol.2016.1279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.O’Leary B., Hrebien S., Morden J.P., Beaney M., Fribbens C., Huang X., Liu Y., Bartlett C.H., Koehler M., Cristofanilli M., et al. Early circulating tumor DNA dynamics and clonal selection with palbociclib and fulvestrant for breast cancer. Nat. Commun. 2018;9:896. doi: 10.1038/s41467-018-03215-x. [DOI] [PMC free article] [PubMed] [Google Scholar]

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