# The Predictive Role ofPIK3CA Mutation Status on PI3K Inhibitors in HR+ Breast Cancer Therapy: A Systematic Review and Meta-Analysis

Authors: Mingming Wang; Jin Li; Jiangsheng Huang; Mei Luo
Journal: BioMed Research International
 (2020)

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## Abstract

Aim. To evaluate the impact of PIK3CA mutation status on clinical outcomes of HR+ breast cancer treated with PI3K inhibitors. Methods. A comprehensive literature search was conducted in online databases from inception to December 31, 2019. The main characteristics and prognostic data of each eligible study were extracted. The odds ratio (OR) for the overall response rate (ORR) and hazard ratio (HR) for progression-free survival (PFS) were estimated using the fixed-effects Mantel-Haenszel model. Results. A total of 8 studies involving 2670 patients were included for analysis. Overall, the clinical outcomes of PI3K inhibitors were significantly influenced by PIK3CA mutation status in HR+ breast cancer. After the treatment of PI3K inhibitors, HR+ breast cancer patients with PIK3CA mutations presented better ORR (PIK3CA-mutated group: OR=1.98 [95% CI, 1.46 to 2.70]; PIK3CA wild-type group: OR=1.09 [95% CI, 0.78 to 1.53]) and better PFS (PIK3CA-mutated group: HR=0.65 [95% CI, 0.55 to 0.76]; PIK3CA wild-type group: HR=0.87 [95% CI, 0.70 to 1.09]). No publication bias was detected for ORR and PFS in our analysis. Conclusion. In this meta-analysis, it suggests that the association between clinical outcomes of PI3K inhibitors and PIK3CA mutation status is dramatic. PIK3CA mutations were a favorable factor in the clinical outcomes of HR+ breast cancer treated with PI3K inhibitors.


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## Body

## 1. Introduction

Breast cancer is the most commonly diagnosed cancer in women worldwide. More than 80% of breast cancer is classified as hormone receptor-positive (HR+) breast cancer [1]. Current therapeutic strategies for HR+ breast cancer comprise endocrine therapy, mTOR, or cyclin-dependent kinase 4/6 (CDK4/6) inhibition et al. Nevertheless, disease progression, metastasis, and drug resistance eventually develop [2]. To our knowledge, diversified pathways (e.g., RAS/MAPK, NFκB, or PI3K/AKT/mTOR) get involved in drug resistance to current therapy [3]. Monotherapy targeting a single pathway can be easily failed to generate clinical benefit due to the aberrant activation of bypass signaling. In particular, PI3K/AKT/mTOR is the most frequently altered pathway in HR+ breast cancer [4]. Therefore, inhibition of the PI3K/AKT/mTOR signaling pathway should be of great priority to overcome therapeutic challenges in HR+ breast cancer [5].Previous clinical data have elucidated the clinical efficacy of thePI3K/AKT/mTOR pathway inhibition in HR+ breast cancer therapy. For example, administration of everolimus (a rapamycin analog inhibitor of mTOR) can increase the efficacy of letrozole in the endocrine-resistant form [6]. A combination of everolimus with tamoxifen can improve the survival outcome for OR+ metastatic breast cancer patients previously treated with aromatase inhibitors [7]. And the addition of everolimus to exemestane can also improve the survival outcome for breast cancer patients [8]. Besides the mTOR inhibition, oral inhibitors for PI3K isoforms have been established for the treatment of HR+ breast cancer. Those inhibitors specifically bind the phosphatidylinositol (3,4,5)-trisphosphate (PIP3), which mediates the downstream signaling of PI3K. It has shown synergistic antitumor activity with endocrine therapy against HR+ breast cancer in both preclinical and clinical results [9]. Plenty of gene mutations, such as PIK3CA mutations, often occurred in HR+ breast cancer and associated with the clinical efficacy of therapeutic strategies. Based on the results of current research, the PI3K/AKT/mTOR pathway can be activated through PIK3CA mutations [10]. Some studies report that PIK3CA mutations can inactivate the downstream components, such as TORC1, which can generate a better outcome in endocrine-resistant breast cancer [11]. Nevertheless, the BOLERO-2 study has debated that there is no association between PIK3CA mutation status and clinical benefit of mTOR inhibition. Similarly, the predictive role of PIK3CA mutation status on the clinical efficacy of PI3K inhibitors remains controversial in HR+ breast cancer therapy from current results [12].According to preclinical and clinical results, whetherPIK3CA mutation status can be a predictive role for PI3K inhibitors remains debating. Herein, identification of the predictive role of PIK3CA mutation status on the clinical outcomes of PI3K inhibitors should be of great priority to benefit the diagnosis and prognosis for patients with HR+ breast cancer.


## 2. Materials and Methods

### 2.1. Literature Search Strategy

This meta-analysis was conducted according to the Preferred Reporting Item for Systematic Reviews and Meta-Analyses (PRISMA) statement. We followed the methods of Zou et al. [13]. All reviewed articles were retrieved from PubMed, Cochrane, and Web of Science. Privately and publicly funded clinical studies recorded in ClinicalTrials.gov were also screened. Following terms were applied to comprehensively seize the articles: (1) (Breast Neoplasm) or (Neoplasm, Breast) or (Breast Tumors) or (Breast Tumor) or (Tumor, Breast) or (Tumors, Breast) or (Neoplasms, Breast) or (Breast Cancer) or (Cancer, Breast) or (Mammary Cancer) or (Cancer, Mammary) or (Cancers, Mammary) or (Mammary Cancers) or (Malignant Neoplasm of Breast) or (Breast Malignant Neoplasm) or (Breast Malignant Neoplasms) or (Malignant Tumor of Breast) or (Breast Malignant Tumor) or (Breast Malignant Tumors) or (Cancer of Breast) or (Cancer of the Breast) or (Mammary Carcinoma, Human) or (Carcinoma, Human Mammary) or (Carcinomas, Human Mammary) or (Human Mammary Carcinomas) or (Mammary Carcinomas, Human) or (Human Mammary Carcinoma) or (Mammary Neoplasms, Human) or (Human Mammary Neoplasm) or (Human Mammary Neoplasms) or (Neoplasm, Human Mammary) or (Neoplasms, Human Mammary) or (Mammary Neoplasm, Human) or (Breast Carcinoma) or (Breast Carcinomas) or (Carcinoma, Breast) or (Carcinomas, Breast); and (2) (PIK3CA) or (Phosphoinositide-3-kinase catalytic alpha polypeptide) or (Phosphoinositide-3-kinase catalytic alpha polypeptide). References of included studies were conditionally screened. On-topic articles were included while off-topic items were removed.


### 2.2. Inclusion Criteria

Eligible studies were (1) patients who were diagnosed withHR+ breast cancer, (2) patients who were treated with PI3K inhibitors, (3) the PIK3CA mutation status was detected, and (4) data about the overall response rate (ORR) and progression-free survival (PFS) in PIK3CA-mutated group and PIK3CA wild-type group were reported accordingly. Our exclusion criteria were (1) review, letters, comments, conference abstracts, or articles without outcomes of interest and (2) duplicate or overlapping data. If several publications from the same project were identified simultaneously, the newest version and the most comprehensive data would be included.


### 2.3. Data Extraction and Quality Assessment

Data were independently extracted by two reviewers (Mingming Wang and Jin Li) from the included studies. The following items were extracted from the text and supplementary materials: first author’s name, publication year, study type,PI3K inhibitor regimen, and specific clinical outcomes. The Newcastle-Ottawa Scale (NOS) was employed to assess the quality of the included studies. Each study was reckoned according to selection, comparability, and outcome. Any discrepancies were solved by mutual discussion.


### 2.4. Statistical Analysis

The primary outcomes of interest were ORR and PFS forHR+ breast cancer patients in the PIK3CA wild-type group and PIK3CA-mutated group. RevMan 5 (Revman, Cochrane Collaboration; Oxford, England) was applied to perform statistical analysis. The pooled odds ratio of ORR and hazard ratio of PFS were presented to evaluate the difference between the PIK3CA-mutated group and the PIK3CA wild-type group. Heterogenicity between studies was assessed by the Chi-squared test and I2. A fixed-effects model was applied when there was no significant heterogenicity (I2<50% or p value > 0.05). Otherwise, the random-effects model was in use.


## 2.1. Literature Search Strategy

This meta-analysis was conducted according to the Preferred Reporting Item for Systematic Reviews and Meta-Analyses (PRISMA) statement. We followed the methods of Zou et al. [13]. All reviewed articles were retrieved from PubMed, Cochrane, and Web of Science. Privately and publicly funded clinical studies recorded in ClinicalTrials.gov were also screened. Following terms were applied to comprehensively seize the articles: (1) (Breast Neoplasm) or (Neoplasm, Breast) or (Breast Tumors) or (Breast Tumor) or (Tumor, Breast) or (Tumors, Breast) or (Neoplasms, Breast) or (Breast Cancer) or (Cancer, Breast) or (Mammary Cancer) or (Cancer, Mammary) or (Cancers, Mammary) or (Mammary Cancers) or (Malignant Neoplasm of Breast) or (Breast Malignant Neoplasm) or (Breast Malignant Neoplasms) or (Malignant Tumor of Breast) or (Breast Malignant Tumor) or (Breast Malignant Tumors) or (Cancer of Breast) or (Cancer of the Breast) or (Mammary Carcinoma, Human) or (Carcinoma, Human Mammary) or (Carcinomas, Human Mammary) or (Human Mammary Carcinomas) or (Mammary Carcinomas, Human) or (Human Mammary Carcinoma) or (Mammary Neoplasms, Human) or (Human Mammary Neoplasm) or (Human Mammary Neoplasms) or (Neoplasm, Human Mammary) or (Neoplasms, Human Mammary) or (Mammary Neoplasm, Human) or (Breast Carcinoma) or (Breast Carcinomas) or (Carcinoma, Breast) or (Carcinomas, Breast); and (2) (PIK3CA) or (Phosphoinositide-3-kinase catalytic alpha polypeptide) or (Phosphoinositide-3-kinase catalytic alpha polypeptide). References of included studies were conditionally screened. On-topic articles were included while off-topic items were removed.


## 2.2. Inclusion Criteria

Eligible studies were (1) patients who were diagnosed withHR+ breast cancer, (2) patients who were treated with PI3K inhibitors, (3) the PIK3CA mutation status was detected, and (4) data about the overall response rate (ORR) and progression-free survival (PFS) in PIK3CA-mutated group and PIK3CA wild-type group were reported accordingly. Our exclusion criteria were (1) review, letters, comments, conference abstracts, or articles without outcomes of interest and (2) duplicate or overlapping data. If several publications from the same project were identified simultaneously, the newest version and the most comprehensive data would be included.


## 2.3. Data Extraction and Quality Assessment

Data were independently extracted by two reviewers (Mingming Wang and Jin Li) from the included studies. The following items were extracted from the text and supplementary materials: first author’s name, publication year, study type,PI3K inhibitor regimen, and specific clinical outcomes. The Newcastle-Ottawa Scale (NOS) was employed to assess the quality of the included studies. Each study was reckoned according to selection, comparability, and outcome. Any discrepancies were solved by mutual discussion.


## 2.4. Statistical Analysis

The primary outcomes of interest were ORR and PFS forHR+ breast cancer patients in the PIK3CA wild-type group and PIK3CA-mutated group. RevMan 5 (Revman, Cochrane Collaboration; Oxford, England) was applied to perform statistical analysis. The pooled odds ratio of ORR and hazard ratio of PFS were presented to evaluate the difference between the PIK3CA-mutated group and the PIK3CA wild-type group. Heterogenicity between studies was assessed by the Chi-squared test and I2. A fixed-effects model was applied when there was no significant heterogenicity (I2<50% or p value > 0.05). Otherwise, the random-effects model was in use.


## 3. Results

### 3.1. Literature Search and Study Selection

The primary search strategy identified 1,642 records after an online inquiry. After removing 945 duplicates and excluding 577 irrelevant records, we included 120 articles after review in the title and abstract. The full text of the remaining 120 articles was meticulously screened and assessed. 112 pieces of literature were excluded due to the following reasons: reviews, case reports, conference abstracts, or without outcomes of interest. Ultimately, 8 studies were selected according to the inclusion and exclusion criteria. Details for the online search strategy were exhibited in Figure1.Figure 1
Online search strategy.


### 3.2. Main Characteristics of the Included Studies

The main characteristics of the 8 included studies were summarized in Table1. All included studies were published before December 31, 2019. All patients were diagnosed as HR+ breast cancer. The study type of each study and the available register number for each clinical trial were presented. The detailed PI3K inhibitor regimen is shown in our table. Six studies were applied to evaluate the survival outcome, and 7 studies were involved to assess the responsive outcome. According to the score, 3 studies had quality scores of 7 or higher while others were less than 7.Table 1
Main characteristics of included studies.
Study and year
Study type
PI3K inhibitor regimen
Clinical outcome
NOS
Krop IE et al. 2016
Phase 2 trial. NCT01437566
Daily pictilisib 340 mg plus fulvestrant 500 mg
ORR and PFS
6
Vuylsteke P et al. 2016
Phase 2 PEGGY study. NCT01740336
Daily 260 mg pictilisib on day 1-5 each week, pulsed with paclitaxel
ORR and PFS
6
Loibl S et al. 2017
Phase 2 trial (NeoPHOEBE) NCT01816594
Neoadjuvant buparlisib plus trastuzumab and paclitaxel
ORR
6
Baselga J et al. 2017
Phase 3 BELLE-2; NCT01610284
Daily 100 mg buparlisib plus intramuscular fulvestrant 500 mg
ORR and PFS
8
Martin M et al. 2017
Phase 2/3 study. (BELLE-4) NCT01572727
Daily 100 mg buparlisib with paclitaxel
ORR and PFS
6
Di Leo A et al. 2018
Phase 3 BELLE-3 NCT01633060
Daily 100 mg buparlisib plus intramuscular fulvestrant 500 mg
PFS
7
Andre F et al. 2019
Phase 3 (Solar 1). NCT02437318
Daily 300 mg alpelisib plus 500 mg fulvestrant
ORR and PFS
8
Saura C et al. 2019
Phase 2 trial. NCT02273973
4 mg taselisib (5 days on, 2 days off) pulsed with daily 2.5 mg letrozole
ORR
6


### 3.3. Relationship betweenPIK3CA Mutations and Overall Response Rate (ORR)

A total of 7 studies reported data about the overall response rate (ORR) ofPI3K inhibitors in the PIK3CA-mutated group and/or PIK3CA wild-type group. Pooled ORR demonstrated that PI3K inhibitors generated 1.98 [95% CI, 1.46 to 2.70] odds ratio (OR) in HR+/PIK3CA-mutated breast cancer patients and 1.09 [95% CI, 0.78 to 1.53] odds ratio (OR) in HR+/PIK3CA wild-type breast cancer patients. Medium heterogeneity (p=0.02, I2=60%) presented in the PIK3CA-mutated group, while no heterogeneity was observed in the PIK3CA wild-type group (p=0.49, I2=0%). The ORR of PI3K inhibitors between the PIK3CA-mutated group and the PIK3CA wild-type group was statistically different (p=0.01, I2=84.8%) in Figure 2.Figure 2
Odds ratio for overall response rate (ORR) in thePIK3CA-mutated group and the PIK3CA wild-type group.


### 3.4. Relationship betweenPIK3CA Mutations and Progression-Free Survival (PFS)

A total of 6 studies provided data about the progression-free survival (PFS) ofPI3K inhibitors in HR+ breast cancer according to PIK3CA mutation status. Comparing with the hazard ratio (HR) of PFS in the HR+/PIK3CA wild-type group (HR=0.87 [95% CI, 0.70 to 1.09]), the PFS of PI3K inhibitors was further improved in the HR+/PIK3CA-mutated group (HR=0.65 [95% CI, 0.55 to 0.76]). Medium heterogeneity (p=0.01, I2=66%) existed in the PIK3CA-mutated group, while no heterogeneity was observed in the PIK3CA wild-type group (p=0.64, I2=0%). The improvement of PFS by PI3K inhibitors in the PIK3CA-mutated group was significantly better than the PIK3CA wild-type group (p=0.03, I2=77.8%) in Figure 3.Figure 3
Hazard ratio for progression-free survival (PFS) in thePIK3CA-mutated group and the PIK3CA wild-type group.


### 3.5. Publication Bias

Funnel plots were applied to assess whether publication bias existed in our analysis. The funnel plots did not indicate any publication bias for ORR in Figure4 and PFS in Figure 5. The visual estimation of the funnel plots showed clear symmetry.Figure 4
Funnel plot for overall response rate (ORR) analysis.Figure 5
Funnel plot for progression-free survival (PFS) analysis.


## 3.1. Literature Search and Study Selection

The primary search strategy identified 1,642 records after an online inquiry. After removing 945 duplicates and excluding 577 irrelevant records, we included 120 articles after review in the title and abstract. The full text of the remaining 120 articles was meticulously screened and assessed. 112 pieces of literature were excluded due to the following reasons: reviews, case reports, conference abstracts, or without outcomes of interest. Ultimately, 8 studies were selected according to the inclusion and exclusion criteria. Details for the online search strategy were exhibited in Figure1.Figure 1
Online search strategy.


## 3.2. Main Characteristics of the Included Studies

The main characteristics of the 8 included studies were summarized in Table1. All included studies were published before December 31, 2019. All patients were diagnosed as HR+ breast cancer. The study type of each study and the available register number for each clinical trial were presented. The detailed PI3K inhibitor regimen is shown in our table. Six studies were applied to evaluate the survival outcome, and 7 studies were involved to assess the responsive outcome. According to the score, 3 studies had quality scores of 7 or higher while others were less than 7.Table 1
Main characteristics of included studies.
Study and year
Study type
PI3K inhibitor regimen
Clinical outcome
NOS
Krop IE et al. 2016
Phase 2 trial. NCT01437566
Daily pictilisib 340 mg plus fulvestrant 500 mg
ORR and PFS
6
Vuylsteke P et al. 2016
Phase 2 PEGGY study. NCT01740336
Daily 260 mg pictilisib on day 1-5 each week, pulsed with paclitaxel
ORR and PFS
6
Loibl S et al. 2017
Phase 2 trial (NeoPHOEBE) NCT01816594
Neoadjuvant buparlisib plus trastuzumab and paclitaxel
ORR
6
Baselga J et al. 2017
Phase 3 BELLE-2; NCT01610284
Daily 100 mg buparlisib plus intramuscular fulvestrant 500 mg
ORR and PFS
8
Martin M et al. 2017
Phase 2/3 study. (BELLE-4) NCT01572727
Daily 100 mg buparlisib with paclitaxel
ORR and PFS
6
Di Leo A et al. 2018
Phase 3 BELLE-3 NCT01633060
Daily 100 mg buparlisib plus intramuscular fulvestrant 500 mg
PFS
7
Andre F et al. 2019
Phase 3 (Solar 1). NCT02437318
Daily 300 mg alpelisib plus 500 mg fulvestrant
ORR and PFS
8
Saura C et al. 2019
Phase 2 trial. NCT02273973
4 mg taselisib (5 days on, 2 days off) pulsed with daily 2.5 mg letrozole
ORR
6


## 3.3. Relationship betweenPIK3CA Mutations and Overall Response Rate (ORR)

A total of 7 studies reported data about the overall response rate (ORR) ofPI3K inhibitors in the PIK3CA-mutated group and/or PIK3CA wild-type group. Pooled ORR demonstrated that PI3K inhibitors generated 1.98 [95% CI, 1.46 to 2.70] odds ratio (OR) in HR+/PIK3CA-mutated breast cancer patients and 1.09 [95% CI, 0.78 to 1.53] odds ratio (OR) in HR+/PIK3CA wild-type breast cancer patients. Medium heterogeneity (p=0.02, I2=60%) presented in the PIK3CA-mutated group, while no heterogeneity was observed in the PIK3CA wild-type group (p=0.49, I2=0%). The ORR of PI3K inhibitors between the PIK3CA-mutated group and the PIK3CA wild-type group was statistically different (p=0.01, I2=84.8%) in Figure 2.Figure 2
Odds ratio for overall response rate (ORR) in thePIK3CA-mutated group and the PIK3CA wild-type group.


## 3.4. Relationship betweenPIK3CA Mutations and Progression-Free Survival (PFS)

A total of 6 studies provided data about the progression-free survival (PFS) ofPI3K inhibitors in HR+ breast cancer according to PIK3CA mutation status. Comparing with the hazard ratio (HR) of PFS in the HR+/PIK3CA wild-type group (HR=0.87 [95% CI, 0.70 to 1.09]), the PFS of PI3K inhibitors was further improved in the HR+/PIK3CA-mutated group (HR=0.65 [95% CI, 0.55 to 0.76]). Medium heterogeneity (p=0.01, I2=66%) existed in the PIK3CA-mutated group, while no heterogeneity was observed in the PIK3CA wild-type group (p=0.64, I2=0%). The improvement of PFS by PI3K inhibitors in the PIK3CA-mutated group was significantly better than the PIK3CA wild-type group (p=0.03, I2=77.8%) in Figure 3.Figure 3
Hazard ratio for progression-free survival (PFS) in thePIK3CA-mutated group and the PIK3CA wild-type group.


## 3.5. Publication Bias

Funnel plots were applied to assess whether publication bias existed in our analysis. The funnel plots did not indicate any publication bias for ORR in Figure4 and PFS in Figure 5. The visual estimation of the funnel plots showed clear symmetry.Figure 4
Funnel plot for overall response rate (ORR) analysis.Figure 5
Funnel plot for progression-free survival (PFS) analysis.


## 4. Discussion

As the most exhaustive meta-analysis to investigate the efficacy ofPI3K inhibitors in HR+ breast cancer according to PIK3CA mutation status, our results demonstrate that the responsive and survival outcomes of PI3K inhibitors can be significantly improved in PIK3CA-mutated population comparing with wild-type PIK3CA population. Based on our findings, PIK3CA mutation status can be a prognostic factor for HR+ breast cancer patients treated with PI3K inhibitors. However, further studies are still required to confirm our findings.To our knowledge, multiple signaling pathways are implicated in malignant progression and drug resistance in breast cancer. Inhibition of those aberrantly activated pathways is an important therapeutic strategy to manage breast cancer. For example, blockade of the hyperactivatedPI3K/AKT/mTOR pathway by diversified inhibitors should bring up some clinical benefits for breast cancer patients. In 2012, mTOR inhibitors (everolimus) showed a profitable effect on endocrine therapy of breast cancer therapy [14]. However, preliminary data on mTOR inhibitors illustrate that mTOR inhibition elicits AKT phosphorylation via feedback activation. AKT phosphorylation often induces drug resistance of mTOR inhibitors. The importance of developing novel functional biomarkers to enhance therapeutic benefit has been highlighted. Treatment with direct PI3K inhibitors could attenuate or abrogate AKT phosphorylation, which might potentially vanquish the resistance to mTOR inhibitors [15].Latterly, plenty ofPI3K inhibitors have been established to treat HR+ breast cancer. Current PI3K inhibitors are mainly categorized into 2 types: one is pan-PI3K inhibitors, which targets all four isoforms (p110α, β, γ, and δ) of PI3K (e.g., pictilisib and buparlisib). Another is selective-PI3K inhibitors, which selectively recognize the mutated PI3Kα subunit and wild-type PI3K (e.g., alpelisib and taselisib) [16, 17]. The specificity, binding affinity, and efficacy of each inhibitor are varied. According to current reports, pan-PI3K inhibitors often result in dose reduction and discontinuation due to the high rate of severe adverse events [18, 19]. Rationally, those limitations can be renovated by selective-PI3K inhibitors [20]. A better safety profile permits prolonged administration at higher doses and subsequently advances clinical efficacy [21]. For example, alpelisib is an equipotent selective inhibitor against both the wild-type and mutated PI3Kα subunit [22]. And taselisib displays greater selectivity for mutated than wild-type PI3Kα and a less potent inhibition to PI3Kβ isoform [23]. Those selective inhibitors show better clinical benefit not only as a single agent but also in combination with fulvestrant or letrozole. Since the negative clinical results about pan-PI3K inhibitors have prevented further investigation, more clinical studies about selective-PI3K inhibitors may support our findings on the predictive role of PIK3CA mutation status in breast cancer patients [24].A growing number of clinical studies support thatPIK3CA mutation favors the responsive and survival outcome in PI3K inhibitor treatment [25], while some studies reported that the clinical efficacy of PI3K inhibitors is not affected by the PIK3CA mutation status [26]. The ability of PIK3CA mutation status to predict the benefit of PI3K inhibitors is imperative for further subclassification of HR+ breast cancer. A panel of PIK3CA mutations in exons 1, 7, 9, and 20 have been detected and analyzed via current technology (e.g., R88Q in exon 1, N345K in exon 4, C420R in exon 7, E542K in exon 9, E545K/A/G/D in exon 9, Q546K/E/R/L in exon 9, M1043I in exon 20, H1047R/L/Y in exon 20, and H1049R in exon 20) [22]. Notably, the limitation of different strategies to confirm the PIK3CA mutation status should be addressed. Since archived tumors are unlikely to present the real-time PIK3CA mutation status, fresh biopsies are more representative of mutation status [27]. However, additional surgery is not often applicable or desirable in patients with advanced disease or metastasis. Therefore, circulating tumor DNA (ctDNA) analysis has been widely employed as a noninvasive approach to detect PIK3CA mutation status [28]. Comparing with archival tumor samples, ctDNA analysis is a more illustrative and less invasive technique to assess the mutational status and heterogenicity throughout the treatment [29]. In our methods, we collect the responsive and survival data according to the PIK3CA mutation status in ctDNA analysis, which is broadly applied to detect the gene mutation status in cancers.We have well-demonstrated the favorable role ofPIK3CA mutations for PI3K inhibitors in HR+ breast cancer therapy, whereas our study still has some limitations that should be concerned. Firstly, the disease context, concomitant therapy, and the specificity of each inhibitor should be of great interest in establishing the predictive value of PIK3CA mutation status. Those factors were not indexed by subgroup analysis due to a lack of efficient data. In the future, all of those affective factors should be taken into consideration and well classified. Secondly, the aberrant activation of the PI3K/AKT/mTOR pathway often occurs via various mechanisms, such as the alteration of PI3K catalytic subunits (PIK3CA and PIK3CB), AKT1, AKT2, or PTEN. The crosstalk between PIK3CA mutations with other gene alterations is not discussed in our analysis. Regardless of alterations in the PI3K/AKT/mTOR pathway, a further determination of underlying gene alterations should be of obligation to develop the novel therapeutic strategy in breast cancer [30]. The definition of the subsets of breast cancer according to their gene alteration might be essential to maximize the clinical benefit for those patients. Finally, we only assess the responsive and survival outcomes of PI3K inhibitors in HR+ breast cancer. However, the biological outcomes are surrogate endpoints strongly linked with responsive and survival outcomes [31]. In future studies, the evaluation of those biological outcomes should be an essential supplement to draw a more solid conclusion in this area.


## 5. Conclusion

ThePIK3CA mutations are highly associated with better responsive and survival outcomes of PI3K inhibitors in HR+ breast cancer. The predictive and prognostic role of PIK3CA mutations will facilitate the diagnosis and prognosis of HR+ breast cancer. More studies to explore the clinical superiority of PI3K inhibitors are warranted in HR+/PIK3CA-mutated breast cancer and other cancer forms.



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