Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2026 Mar 23;16:1785283. doi: 10.3389/fonc.2026.1785283

Assessing the prognostic role of androgen receptor expression in non-metastatic triple-negative breast cancer

Mahmoud Al-Masri 1,2,*, Yasmin Safi 1, Basim Aljalabneh 1, Isam Jarah 1, Hussam Ananzeh 1, Rama AlMasri 3, Osama Alayyan 1, Fade Alawneh 1, Mohammad Almasri 1,3
PMCID: PMC13050708  PMID: 41948492

Abstract

Background

Triple negative breast cancer (TNBC) represents 15-20% of all invasive breast cancer with poor breast cancer survival. Androgen receptor (AR) expression in TNBC shows significant variability in the literature, with rates ranging from 7% to 75%. The association between AR expression and prognosis in TNBC remains controversial.

Methods

A comparative retrospective design was utilized including all TNBC cases between 2014-2020. AR receptor expression was evaluated by immunohistochemical staining using whole tissue sections from archived paraffin-embedded formalin fixed blocks. Correlation of AR expression with standard clinical pathological factors and clinical outcomes of interest were assessed; including disease free survival (DFS), breast cancer specific survival (BCSS), and overall survival (OS).

Results

149 patients with non-metastatic TNBC were included. 94 patients (63.3%) being AR negative and 55 patients (36.7%) were AR positive. No statistical difference in tumor characteristics between the two groups was found. The 5-year OS rates for AR negative and positive patients were 60% and 70% respectively (p= 0.021). However, this statistical significance was lost with longer follow-up (103 months, p=0.25). The 5-year DFS was similar for both groups (AR negative and AR positive, 64.3%, 62.9% respectively, p=0.39) in addition to the BCSS (73%, 78.8% respectively, p= 0.84). In univariable and multivariable analyses, AR expression did not significantly impact OS or DFS (HR: 0.71 and 1.07, p= 0.3, 0.8, respectively).

Conclusion

In this study, AR status showed no association with DFS, BCSS, or OS; and was not a prognostic factor in TNBC. Further studies exploring the role of AR in TNBC are warranted as AR expression could be a potential target with antiandrogen therapy.

Keywords: androgen receptors, breast neoplasms, disease-free survival, prognosis, survival analysis, triple negative breast neoplasms

1. Introduction

Triple-negative breast cancer (TNBC) represents approximately 15–20% of all invasive breast cancer cases (1, 2). This subtype is characterized by its aggressive clinical behavior. It is associated with poorer outcomes, including reduced breast cancer-specific survival (BCSS) and overall survival (OS), particularly within the first three years following diagnosis. TNBC is also distinguished by a higher likelihood of recurrence and distant metastases compared to other breast cancer types (3). Given its aggressive nature and the limited availability of targeted therapeutic options, there is a pressing need to identify novel treatment strategies to enhance clinical outcomes for patients with TNBC.

Androgen receptors (AR), a class of steroid hormone receptors, are found to be overexpressed in approximately 70–90% of all breast cancer cases. However, in triple-negative breast cancer (TNBC), studies have reported a wide range in AR expression levels, with prevalence estimates varying from 7% to 75% (413).

The association between AR expression and its prognostic role in TNBC is contradictory, as some studies have reported a poorer outcome. In contrast, others showed favorable disease-free survival (DFS) and OS (1417), in addition to some studies showing racial disparity with varied effects on prognosis (18).

Furthermore, numerous studies illustrate that AR expression is not associated with TNBC prognosis (1930).

In this study, we present the clinicopathological features of our cohort of TNBC and determine AR expression and its use as a prognostic marker. To our knowledge, this is the first study that addresses this issue in the Levant area.

2. Methods

2.1. Study population and design

Data for this study were retrospectively collected from the cancer registry at the King Hussein Cancer Center for the period from 2014 to 2020. It involved individuals diagnosed with non-metastatic TNBC, defined by the lack of estrogen receptor (ER) and progesterone receptor (PR) expression (<1%) and HER2-negative status. Patients were further divided into two main groups according to AR expression: AR-positive and AR-negative. All receptor assessments, including ER, PR, HER2, and AR, were conducted on a single sample from the pre-treatment diagnostic biopsy.

For AR expression testing, tissues were fixed in 10% buffered formalin and embedded in paraffin. Immunohistochemical (IHC) staining for AR was performed using the Ventana Benchmark Ultra platform with a rabbit monoclonal antibody (clone SP107, Roche, Ventana Medical Systems Inc., Tucson, AZ), following the manufactures recommendations for this automated system. The recommended protocol that was used includes antigen retrieval using “Cell Conditioning 1” a Tris-based proprietary buffer with slightly basic pH for 64 minutes at 90 °C and primary antibody incubation for 32 minutes at 36 °C. The IHC staining was conducted on formalin-fixed, paraffin-embedded tissue sections and interpreted by experienced pathologists. Samples were considered positive if more than 1% of the cells showed staining, a threshold chosen based on the study conducted by Dubrava et al. in 2023 (31), which was informed by multiple reviewed literature sources.

The study compared survival outcomes, trends, and relationships between patients who tested positive for AR and those who tested negative using a comparative retrospective cohort methodology.

A comparative survival analysis between AR expression groups was the primary outcome. The time interval between diagnosis and the date of the last follow-up or the recurrence and metastasis of the disease was used to define DFS. Recurrence events included metastases to any other tissue or organ, ipsilateral breast, contralateral or ipsilateral axillae. The time from diagnosis to the date of the last follow-up or the date of death, regardless of cause of death, was defined as OS. The time interval between the date of diagnosis and the last follow-up date or the date of death directly attributable to breast cancer was known as BCSS.

2.2. Statistical analysis

R 4.2.1 was used to conduct the analysis. The descriptive analysis was displayed using percentages and frequencies. Cross-tabulations were used to show categorical data and Fisher’s exact or Chi-Square tests were used to evaluate associations. Regression models were built using variables that showed significance in univariate tests to do a Cox regression analysis later. A significant threshold of p < 0.05 was used. For the two cohorts, OS, DFS, and BCSS were estimated using the Kaplan-Meier method, and comparisons were made using the log-rank test.

3. Results

3.1. Patient and tumor characteristics

149 patients with non-metastatic TNBC were included in this study, with 94 patients (63.3%) being AR negative and 55 patients (36.7%) being AR positive. The median age was 49 years (19–84 years). 70 patients (47%) were post-menopausal and 79 (53%) were premenopausal. There were no statistical differences between the 2 groups in regard to BMI, family history of breast cancer and associated comorbidities. 78 patients (52.35%) were clinically staged as T2. Similarly, more than half (52.35%) of the cohort exhibited clinically positive lymph node metastasis. Grade III tumors comprised 75% of all patients. The majority of patients (97%) were stages II and I. Among the NACT group (n = 83), pCR was achieved in 9 patients (10.8%). Specifically, pCR occurred in 5 of 51 AR-negative patients (9.8%) and 4 of 32 AR-positive patients (12.5%). Non-pCR rates were 90.2% and 87.5% in the AR-negative and AR-positive groups, respectively. There was no statistically significant association between AR expression and pCR (p = 0.70). (Table 1).

Table 1.

Comparison of clinicopathological variables by androgen receptor status.

Variable Level All (149) Negative AR (94, 63.3%) Positive AR (55, 36.7%) P*
N % N % N %
Age Mean 49.05 47.88 51.07 0.412
Median 49 47 51.5
SD 12.75323 13.33413 11.3984
BMI Mean 30.84 30.39 31.6 0.272
Median 30 30 31
SD 6.533152 6.675402 6.204601
Menopause Status Postmenopausal 70 46.98% 40 42.55% 30 54.55% 0.157
Premenopausal 79 53.02% 54 57.45% 25 45.45%
Comorbidities Yes 61 40.94% 43 45.74% 18 32.73% 0.119
No 88 59.06% 51 54.26% 37 67.27%
Family History of breast cancer Yes 51 34.23% 28 29.79% 23 41.82% 0.51
No 98 65.77% 66 70.21% 32 58.18%
Clinical Stage Ia 15 10.07% 10 10.64% 5 9.09% 0.412
IIa 45 30.20% 27 28.72% 18 32.73%
IIb 47 31.54% 29 30.85% 18 32.73%
IIIa 32 21.48% 20 21.28% 12 21.82%
IIIb 7 4.70% 7 7.45% 0 0.00%
IIIc 3 2.01% 1 1.06% 2 3.64%
Grade I 2 1.34% 0 0.00% 2 3.64% 0.224
II 28 18.79% 20 21.28% 8 14.55%
III 112 75.17% 70 74.47% 42 76.36%
NA 7 4.70% 4 4.26% 3 5.45%
Clinical T Stage T1 21 14.09% 14 14.89% 7 12.73% 0.156
T2 78 52.35% 47 50.00% 31 56.36%
T3 43 28.86% 26 27.66% 17 30.91%
T4 7 4.70% 7 7.45% 0 0.00%
Clinical N Stage N0 71 47.65% 45 47.87% 26 47.27% 0.679
N1 63 42.28% 41 43.62% 22 40.00%
N2 & N3 15 10.07% 8 8.51% 7 12.73%
Neoadjuvant CTx No 66 44.30% 43 45.74% 23 41.82% 0.585
Yes 83 55.70% 51 54.26% 32 58.18%
Neoadjuvant Chemotherapy (CTX) regimen AC + Taxotere 71 85.54% 45 88.24% 26 81.25% 0.553
AC 1 1.20% 0 0.00% 1 3.13%
Cyclophosphamide + Doxorubicin 2 2.41% 1 1.96% 1 3.13%
FEC + Paclitaxel 1 1.20% 1 1.96% 0 0.00%
Taxol 1 1.20% 1 1.96% 0 0.00%
NA 7 8.43% 3 5.88% 4 12.50%
Clinical Response post Neoadjuvant Complete 4 4.82% 3 5.88% 1 3.13% 0.936
Partial 53 63.86% 32 62.75% 21 65.63%
Progressing 14 16.87% 8 15.69% 6 18.75%
No response 5 6.02% 3 5.88% 2 6.25%
NA 7 8.43% 5 9.80% 2 6.25%
Pathological T Stage T0 9 6.04% 6 6.38% 3 5.45% 0.668
T1 50 33.56% 28 29.79% 22 40.00%
T2 28 18.79% 18 19.15% 10 18.18%
T3 & T4 59 39.60% 42 44.68% 17 23.64%
Tis 2 1.34% 0 0.00% 2 1.82%
Tx 1 0.67% 0 0.00% 1 1.82%
Pathological N Stage N0 73 48.99% 50 53.19% 23 40.00% 0.17
N1 32 21.48% 22 23.40% 10 18.18%
N2 32 21.48% 14 14.89% 18 20.00%
Nx 12 8.05% 8 8.51% 4 7.27%
For NACT group - Pathological Complete Response (pCR) Non-pCR 74.0 89.2% 46.0 90.2% 28.0 87.5% 0.7
pCR 9.0 10.8% 5.0 9.8% 4.0 12.5%
Surgery Type Breast Conservative surgery 68 45.64% 44 46.81% 24 43.64% 0.6
Mastectomy with or without Reconstruction 81 54.36% 50 53.19% 31 40.00%
Adjuvant CTx No 68 45.64% 46 48.94% 22 40.00% 0.223
Yes 81 54.36% 48 51.06% 33 60.00%
Radiotherapy treatment No 46 30.87% 31 32.98% 15 40.00% 0.467
Yes 103 69.13% 63 67.02% 40 60.00%
Non-surgical Treatment Chemotherapy alone 46 30.87% 31 32.98% 15 27.27% 0.607
Radiotherapy alone 7 4.70% 5 5.32% 2 3.64%
Chemoradiotherapy 96 64.43% 58 61.70% 38 69.09%

*, p-value for mean age and BMI was calculated by t-test and all the other p-values were calculated by χ2 test.

3.2. Treatment modality

67 patients (45%) had breast-conserving surgery while 82 patients (55%) had mastectomy with or without reconstruction.

All patients received chemotherapy whether in the adjuvant or neoadjuvant setting. Approximately 70% of patients received adjuvant radiotherapy with no significant statistical difference in the modality of treatment between the two groups (Table 1).

3.3. Prognostic significance of AR expression

Using the reverse Kaplan–Meier method, the corrected median follow-up was 61.6 months (95% CI: 46.9–68.4). The numbers at risk at 60 months are provided in the Supplementary Materials (Supplementary Table 1).

The estimated 5-year DFS rates were similar for both AR-positive and AR-negative groups at 64.3% and 62.9%, respectively (p = 0.39) (Figure 1d). This similarity persisted with longer follow-up (p = 0.8) (Figure 1b).

Figure 1.

Four Kaplan-Meier survival curves are shown, each comparing AR status (negative in red, positive in blue). Panels A and C display overall survival; B and D display disease-free survival. P values are 0.28 (A), 0.8 (B), 0.021 (C), and 0.39 (D), indicating statistical significance only in panel C. Axes represent months on the x-axis and survival probability on the y-axis.

Kaplan–Meier survival curves comparing outcomes according to androgen receptor (AR) expression status. (A, B) depict overall survival (OS) and disease-free survival (DFS), respectively, while (C, D) illustrate 5-year OS and 5-year DFS.

The 5-year OS rates for the AR-negative and AR-positive groups were 60% and 70%, respectively, with a significant p-value of 0.021 (Figure 1c). However, this statistical significance was lost with longer follow-up (103 months), (p = 0.28) (Figure 1a).

The BCCS rates were compared between AR-negative and AR-positive groups. The 5-year survival rates for AR-negative patients were 73% (95% CI: 63.4-84.9) and for AR-positive patients, the rate was 75.8% (95% CI: 63.5-90.4). Statistical analysis revealed no significant difference in survival between the AR expression groups (p = 0.84) (Figure 2b). Further extended analysis also showed no significant differences in survival outcomes between these groups beyond 5 years (p = 0.34) (Figure 2a).

Figure 2.

Panel A presents a Kaplan-Meier survival curve comparing BCSS between AR negative and AR positive groups over 100 months with a log-rank p-value of 0.84. Panel B displays a Kaplan-Meier survival curve for the same groups over 60 months with a log-rank p-value of 0.34. Both panels use distinct lines and color codes for AR status, showing minimal statistical difference in survival.

Kaplan–Meier curves of breast cancer–specific survival stratified by AR expression. (A) shows overall breast cancer–specific survival, and (B) presents 5-year breast cancer–specific survival.

3.4. Univariate survival analysis

Univariate analysis of OS, DFS and BCSS was conducted on AR expression, tumor size, lymph node status, neoadjuvant CTX, adjuvant CTX, radiotherapy treatment, and surgery type were evaluated.

AR expression did not significantly impact OS (HR = 0.71, p = 0.3) nor DFS (HR = 1.07, p = 0.8). Tumor size was a significant factor, with T3 & T4 tumors showing worse OS (HR = 8.79, p = 0.003), DFS (HR = 9.21, p = 0.003) and BCSS (HR = 11.75, p = 0.017), compared to T1 tumors. Lymph node status was also significant, with N1 and N2/N3 stages showing increased hazard ratios for both OS, DFS and BCSS (all p-values < 0.01). Neoadjuvant chemotherapy was associated with worse OS (HR = 2.52, p = 0.006), BCSS (HR = 3.49, p = 0.006), but not DFS (HR = 1.58, p = 0.11). Adjuvant chemotherapy and radiotherapy did not affect OS, DFS nor BCSS. Patients undergoing mastectomy ± reconstruction had worse OS (HR = 3.99, p < 0.001), DFS (HR = 2.61, p = 0.002), and BCSS (HR = 5.48, p = 0.001) compared to those undergoing breast-conserving surgery. (Table 2).

Table 2.

Univariate analysis of survival outcomes.

Parameters Overall survival Disease-free survival Breast cancer specific survival
HR (95% CI) P HR (95% C) P HR (95% CI) P
AR expression
Negative 1 1 1
Positive 0.71 (0.38-1.33) 0.3 1.07 (0.62-1.86) 0.8 0.93 (0.44-1.95) 0.839
Tumor Size
T1 1 1 1
T2 2.92 (0.68, 12.5) 0.15 3.9 (0.92, 16.5) 0.065 3.67 (0.48-28.22) 0.212
T3&T4 8.79 (2.08-37.2) 0.003 9.21 (2.17-39) 0.003 11.75 (1.56-88.54) 0.017
Lymph node status
N0 1 1 1
N1 3.39 (1.67, 6.87) < 0.001 2.46 (1.33, 4.54) 0.004 4.56 (1.82-11.43) 0.001
N2&N3 5.07 (2.09-12.3) < 0.001 3.91 (1.72, 8.92) 0.001 5.12 (1.56-16.84) 0.007
Neoadjuvant CTx
No 1 1 1
Yes 2.52 (1.3, 4.89) 0.006 1.58 (0.9, 2.79) 0.11 3.49 (1.42-8.57) 0.006
Adjuvant CTx
No 1 1 1
Yes 0.74 (0.42, 1.33) 0.3 0.9 (0.52, 1.53) 0.7 0.82 (0.40-1.68) 0.588
Radiotherapy treatment
No 1 1 1
Yes 1.04 (0.54, 1.97) 0.9 0.87 (0.49, 1.55) 0.6 0.93 (0.43-2.04) 0.864
Surgery type
BCS 1 1 1
Mastectomy ± Reconstruction 3.99 (1.98, 8.07) < 0.001 2.61 (1.43-4.74) 0.002 5.48 (2.09-14.34) 0.001

HR, Hazard ratio; CI, Confidence interval.

3.5. Multivariable survival analysis

In the multivariable analysis of OS, DFS and BCSS, several factors that were significantly associated with survival in the univariable analysis were evaluated. AR expression was not significantly associated with neither OS (HR = 0.65, p = 0.2), DFS (HR = 1.00, p > 0.9) nor BCSS (HR = 0.84, p = 0.67). Tumor size had no significant impact on OS (T2: HR = 2.24, p = 0.3; T3/T4: HR = 4.23, p = 0.06) nor BCSS (T2: HR = 2.86, p = 0.322; T3/T4: HR = 5.14, p = 0.124), though larger sizes (T3/T4) were associated with worse DFS (HR = 6.35, p = 0.015).

Lymph node status was a significant predictor of both OS (N1: HR = 2.46, p = 0.017; N2/N3: HR = 2.94, p = 0.023) and DFS (N1: HR = 2.08, p = 0.026; N2/N3: HR = 2.80, p = 0.02). BCSS was significantly affected by N1 disease (p = 0.02) but not by N2/N3 disease (p = 0.107) compared to N0. Neoadjuvant chemotherapy did not show significant effects on OS, DFS nor BCSS, (p = 0.4, p > 0.9, and p = 0.123, respectively). Mastectomy +/- reconstruction was associated with worse OS (HR = 2.46, p = 0.022) and BCSS (HR = 2.98, p = 0.041) compared to breast conserving surgery, but surgery type had no effect on DFS (HR = 1.64, 95% CI: 0.85-3.16, p = 0.14). (Table 3).

Table 3.

Multivariable analysis of survival outcomes.

Parameters Overall survival Disease-free survival Breast cancer specific survival
HR (95% CI) P HR (95% CI) P HR (95% CI) P
AR expression
Negative 1 1 1
Positive 0.66 (0.35, 1.28) 0.2 1 (0.57, 1.73) > 0.9 0.97 (0.46-2.07) > 0.9
Tumor Size
T1 1 1 1
T2 2.06 (0.47,8.99) 0.3 3.39 (0.79, 14.46) 0.1 2.66 (0.34-20.66) 0.4
T3&T4 4.18 (0.94, 18.51) 0.06 6.23 (1.4, 27.66) 0.02 5.11 (0.65-40.1) 0.12
Lymph node status
N0 1 1 1
N1 2.40 (1.14, 5.03) 0.02 2.06 (1.08, 3.9) 0.03 3.14 (1.2-8.12) 0.02
N2&N3 3.23 (1.31, 7.96) 0.01 2.64 (1.13, 6.17) 0.03 3.01 (0.9-10.07) 0.07
Neoadjuvant CTx
No 1 1 1
Yes 1.1 (0.53, 2.27) 0.8 0.86 (0.46, 1.6) 0.64 1.45 (0.56-3.76) 0.5
Surgery type
BCS 1 1 1
Mastectomy ± Reconstruction 2.47 (1.17, 5.22) 0.017 1.71 (0.89, 3.28) 0.11 3.14 (1.14-8.62) 0.03

HR, Hazard ratio; CI, Confidence interval.

4. Discussion

AR belong to the nuclear steroid hormone receptors family, which also includes Estrogen and Progesterone hormone receptors which are critical components of signaling pathways and play roles as transcription factors in regulation of gene expression. However, the biological role of AR is still uncertain. AR is expressed in normal breast epithelial cells and in 60-80% of breast cancer regardless of the ER status (17, 25, 32). Among TNBC, 10-35% of cases expressed AR (8, 25, 33). It was suggested that AR could be an emerging therapeutic target in breast cancer, especially TNBC (34, 35).

There is a disagreement on the prognostic significance of AR in TNBC. In a meta-analysis of 22 studies including 10004 patients, the subgroup analysis of TNBC revealed that AR expression significantly improved DFS and OS (HR 0.64, 95% CI 0.51-0.68, p-value <0.001 and hazard ratio 0.64, 95% CI 0.49-0.88, p-value <0.001 respectively) (14). In another meta-analysis by Kim et al. that included 16 studies, five studies with TNBC molecular subtype and AR expression were associated with significantly better DFS and OS (15). Other studies have suggested that AR expression could be an adverse prognostic marker in TNBC. A study with 94 stage III TNBC patients and a 23% AR expression rate showed worse DFS and OS in AR positive patients (25% versus 63%), although this trend was not statistically significant (25). Another study of 1467 patients by Hu et al. with a median follow up of 14 years showed TNBC patients with AR positive tumors had an 83% increase in overall mortality compared to those with AR negative tumors (HR 1.83, 95% CI 1.11-3.01, p = 0.02) (36).

In a meta-analysis of 27 studies including 4914 patients that investigated AR expression and survival outcomes in TNBC patients, univariate and multivariate analysis showed that AR expression had no statistically significant association with DFS nor OS, and concluded that in patients with TNBC, AR expression is not associated with prognosis regardless of confounding factors or heterogenicity of included studies (37). In this study, we did not find a statistically significant difference in clinicopathological characteristics of the patients and treatment modalities between AR positive and AR negative groups. This is in contrary to other reported studies were they showed an association between AR positive tumors and old age, low grade, larger tumor sizes and axillary lymph node involvement (38, 39). One possible explanation for this discrepancy could be differences in sample size, patient population, and methodologies, such as variations in AR detection methods, cutoff values for AR positivity, or clinicopathological factors not accounted for in this study.

We also did not find a statistical difference between AR positive and AR negative groups in relation to 5-year DFS (62.9% and 64.3%, respectively, p = 0.39). On the other hand, the 5-year OS was in favor of the AR positive group. (70% and 60%, respectively, p = 0.021). However, with extended follow-up, this difference disappeared with similar overall survival in the two groups. The observed late convergence in survival curves may reflect biological similarities between AR-expressing TNBC and hormonally responsive breast cancers, as steroid hormone receptor signaling pathways share downstream regulatory mechanisms that may influence tumor progression dynamics and long-term survival behavior. This pattern suggests that AR expression alone may not confer sustained prognostic advantage but may be associated with temporal survival effects rather than persistent outcome differences (40, 41).

In univariate and multivariate analyses, we showed that AR expression in TNBC is not a prognostic factor for survival, however tumor size, axillary lymph node status, and administration of chemotherapy remain prognostic factors. Patients who had mastectomy in our cohort demonstrated poorer DFS and OS compared to patients who had breast conserving surgery. This is in line with other studies which demonstrated that bigger surgery will not overcome bad biology (4245).

Our study has several limitations. First, AR expression was assessed by immunohistochemistry using the institutional ≥1% cutoff; molecular profiling and alternative thresholds (e.g., 10%) were not available in this retrospective dataset. While molecular profiling may more accurately identify the luminal androgen receptor (LAR) subtype, it is not routinely used in clinical practice and remains cost-prohibitive (46). Second, the relatively small sample size may limit the statistical power of the analysis. Finally, although multivariable models adjusted for tumor size and nodal status, residual confounding related to clinical selection factors—particularly regarding surgery type—cannot be entirely excluded. Future studies are recommended to perform a priori power analysis to determine the optimal sample size required to detect clinically meaningful differences in survival outcomes between AR-positive and AR-negative TNBC patients. Larger multi-center studies with predefined statistical power calculations are encouraged to improve generalizability and confirm prognostic associations.

Our study is the first to describe this subtype of TNBC in the Levant region. Our study also had similar clinicopathological characteristic between the two groups and had an adequate follow-up duration.

5. Conclusion

In our cohort, androgen receptor is not a prognostic marker for patients with triple negative breast cancer. Several other prognostic factors exist and can be used to assess patients with TNBC. Considering the aggressive nature of and unfavorable outcomes of TNBC, and the scarcity of targeted therapy, the presence of AR expression in TNBC could be a potential target for antiandrogen therapy. We acknowledge that further studies exploring the therapeutic role of AR modulation, in TNBC, including both AR inhibitors and other therapeutic approaches, are warranted with larger, multi-center studies to further validate and generalize our findings.

Acknowledgments

We would like to express our sincere appreciation to everyone who helped us to successfully complete this research project. We would like to express our profound thanks to the Institutional Examination Board (IRB) of the King Hussein Cancer Center for their meticulous review and perceptive remarks, which ensured the study’s ethical conduct and safeguarded the participants’ safety.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Zhendong Shi, Tianjin Medical University Cancer Institute and Hospital, China

Reviewed by: Mehmet Zahid Kocak, Meram Faculty of Medicine, Türkiye

Sashibhusan Dash, Regional Medical Research Center (ICMR), India

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by IRB committee- King Hussein Cancer Center. The studies were conducted in accordance with the local legislation and institutional requirements. Due to the retrospective nature of the study, informed consent from individual participants was not required. All patient data was anonymized to ensure confidentiality.

Author contributions

MA-M: Conceptualization, Investigation, Methodology, Supervision, Writing – original draft. YS: Data curation, Formal analysis, Project administration, Validation, Visualization, Writing – review & editing. BA: Conceptualization, Methodology, Project administration, Writing – review & editing. IJ: Data curation, Investigation, Writing – review & editing. HA: Writing – review & editing, Data curation, Formal analysis, Project administration, Resources. RA: Data curation, Formal analysis, Writing – review & editing. OA: Writing – review & editing, Methodology, Validation. FA: Conceptualization, Software, Validation, Writing – review & editing. MA: Formal analysis, Methodology, Visualization, Writing – review & editing.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2026.1785283/full#supplementary-material

Table1.docx (669.8KB, docx)

References

  • 1. Brenton JD, Carey LA, Ahmed AA, Caldas C. Molecular classification and molecular forecasting of breast cancer: ready for clinical application? J Clin Oncol Off J Am Soc Clin Oncol. (2005) 23:7350–60. doi:  10.1200/JCO.2005.03.3845, PMID: [DOI] [PubMed] [Google Scholar]
  • 2. Dent R, Trudeau M, Pritchard KI, Hanna WM, Kahn HK, Sawka CA, et al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res an Off J Am Assoc Cancer Res. (2007) 13:4429–34. doi:  10.1158/1078-0432.CCR-06-3045, PMID: [DOI] [PubMed] [Google Scholar]
  • 3. Bauer KR, Brown M, Cress RD, Parise CA, Caggiano V. Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype: a population-based study from the California cancer Registry. Cancer. (2007) 109:1721–8. doi:  10.1002/cncr.22618, PMID: [DOI] [PubMed] [Google Scholar]
  • 4. Gucalp A, Traina TA. Targeting the androgen receptor in triple-negative breast cancer. Curr Probl Cancer. (2016) 40:141–50. doi:  10.1016/j.currproblcancer.2016.09.004, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Asano Y, Kashiwagi S, Goto W, Tanaka S, Morisaki T, Takashima T, et al. Expression and clinical significance of androgen receptor in triple-negative breast cancer. Cancers (Basel). (2017) 9. doi:  10.3390/cancers9010004, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Niemeier LA, Dabbs DJ, Beriwal S, Striebel JM, Bhargava R. Androgen receptor in breast cancer: expression in estrogen receptor-positive tumors and in estrogen receptor-negative tumors with apocrine differentiation. Mod Pathol an Off J United States Can Acad Pathol Inc. (2010) 23:205–12. doi:  10.1038/modpathol.2009.159, PMID: [DOI] [PubMed] [Google Scholar]
  • 7. He J, Peng R, Yuan Z, Wang S, Peng J, Lin G, et al. Prognostic value of androgen receptor expression in operable triple-negative breast cancer: a retrospective analysis based on a tissue microarray. Med Oncol. (2012) 29:406–10. doi:  10.1007/s12032-011-9832-0, PMID: [DOI] [PubMed] [Google Scholar]
  • 8. Park S, Koo J, Park HS, Kim JH, Choi SY, Lee JH, et al. Expression of androgen receptors in primary breast cancer. Ann Oncol Off J Eur Soc Med Oncol. (2010) 21:488–92. doi:  10.1093/annonc/mdp510, PMID: [DOI] [PubMed] [Google Scholar]
  • 9. Tang D, Xu S, Zhang Q, Zhao W. The expression and clinical significance of the androgen receptor and E-cadherin in triple-negative breast cancer. Med Oncol. (2012) 29:526–33. doi:  10.1007/s12032-011-9948-2, PMID: [DOI] [PubMed] [Google Scholar]
  • 10. Sutton LM, Cao D, Sarode V, Molberg KH, Torgbe K, Haley B, et al. Decreased androgen receptor expression is associated with distant metastases in patients with androgen receptor–expressing triple-negative breast carcinoma. Am J Clin Pathol. (2012) 138:511–6. doi:  10.1309/AJCP8AVF8FDPTZLH, PMID: [DOI] [PubMed] [Google Scholar]
  • 11. Mirzania M. Approach to the triple negative breast cancer in new drugs area. Int J Hematol Stem Cell Res. (2016) 10:115–9. [PMC free article] [PubMed] [Google Scholar]
  • 12. Gasparini P, Fassan M, Cascione L, Guler G, Balci S, Irkkan C, et al. Androgen receptor status is a prognostic marker in non-basal triple negative breast cancers and determines novel therapeutic options. PloS One. (2014) 9:1–10. doi:  10.1371/journal.pone.0088525, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Mrklić I, Pogorelić Z, Ćapkun V, Tomić S. Expression of androgen receptors in triple negative breast carcinomas. Acta Histochem. (2013) 115(4):344–8. doi:  10.1016/j.acthis.2012.09.006, PMID: [DOI] [PubMed] [Google Scholar]
  • 14. Bozovic-Spasojevic I, Zardavas D, Brohée S, Ameye L, Fumagalli D, Ades F, et al. The prognostic role of androgen receptor in patients with early-stage breast cancer: A meta-analysis of clinical and gene expression data. Clin Cancer Res. (2017) 23:2702–12. doi:  10.1158/1078-0432.CCR-16-0979, PMID: [DOI] [PubMed] [Google Scholar]
  • 15. Kim Y, Jae E, Yoon M. Influence of androgen receptor expression on the survival outcomes in breast cancer: A meta-analysis. J Breast Cancer. (2015) 18:134–42. doi:  10.4048/jbc.2015.18.2.134, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Wang C, Pan B, Zhu H, Zhou Y, Mao F, Lin Y, et al. Prognostic value of androgen receptor in triple negative breast cancer: A meta-analysis. Oncotarget. (2016) 7:46482–91. doi:  10.18632/oncotarget.10208, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Qu Q, Mao Y, Fei XC, Shen KW. The impact of androgen receptor expression on breast cancer survival: a retrospective study and meta-analysis. PloS One. (2013) 8:e82650. doi:  10.1371/journal.pone.0082650, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Jinna N, Jovanovic-Talisman T, LaBarge M, Natarajan R, Kittles R, Sistrunk C, et al. Racial disparity in quadruple negative breast cancer: aggressive biology and potential therapeutic targeting and prevention. Cancers (Basel). (2022) 14. doi:  10.3390/cancers14184484, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Zaborowski M, Pearson A, Sioson L, Gill AJ, Ahadi MS. Androgen receptor immunoexpression in triple-negative breast cancers: is it a prognostic factor? Pathology. (2019) 51(3):327–9. doi:  10.1016/j.pathol.2018.09.063, PMID: [DOI] [PubMed] [Google Scholar]
  • 20. Sunar V, Dogan HT, Sarici F, Ates O, Akin S, Baspinar B, et al. Association between androgen receptor status and prognosis in triple negative breast cancer. J BUON. (2018) 23:1325–30. [PubMed] [Google Scholar]
  • 21. Rakha EA, El-Sayed ME, Green AR, Lee AHS, Robertson JF, Ellis IO. Prognostic markers in triple-negative breast cancer. Cancer. (2007) 109:25–32. doi:  10.1002/cncr.22381, PMID: [DOI] [PubMed] [Google Scholar]
  • 22. Pistelli M, Caramanti M, Biscotti T, Santinelli A, Pagliacci A, De Lisa M, et al. Androgen receptor expression in early triple-negative breast cancer: clinical significance and prognostic associations. Cancers (Basel). (2014) 6:1351–62. doi:  10.3390/cancers6031351, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Park S, Koo JS, Kim MS, Park HS, Lee JS, Lee JS, et al. Androgen receptor expression is significantly associated with better outcomes in estrogen receptor-positive breast cancers. Ann Oncol. (2011) 22:1755–62. doi:  10.1093/annonc/mdq678, PMID: [DOI] [PubMed] [Google Scholar]
  • 24. Niméus E, Folkesson E, Nodin B, Hartman L, Klintman M. Androgen receptor in stage I-II primary breast cancer -prognostic value and distribution in subgroups. Anticancer Res. (2017) 37:6845–53. [DOI] [PubMed] [Google Scholar]
  • 25. McGhan LJ, McCullough AE, Protheroe CA, Dueck AC, Lee JJ, Nunez-Nateras R, et al. Androgen receptor-positive triple negative breast cancer: a unique breast cancer subtype. Ann Surg Oncol. (2014) 21:361–7. doi:  10.1245/s10434-013-3260-7, PMID: [DOI] [PubMed] [Google Scholar]
  • 26. Liu Y, Zhang K, Tang L. Clinical significance of androgen receptor expression in triple negative breast cancer−an immunohistochemistry study. Oncol Lett. (2018) 15:10008–16. doi:  10.3892/ol.2018.8548, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Jongen L, Floris G, Wildiers H, Claessens F, Richard F, Laenen A, et al. Tumor characteristics and outcome by androgen receptor expression in triple-negative breast cancer patients treated with neo-adjuvant chemotherapy. Breast Cancer Res Treat. (2019) 176:699–708. doi:  10.1007/s10549-019-05252-6, PMID: [DOI] [PubMed] [Google Scholar]
  • 28. Giannos A, Filipits M, Zagouri F, Brandstetter A, Tsigginou A, Sotiropoulou M, et al. Expression of ARs in triple negative breast cancer tumors: a potential prognostic factor? Onco Targets Ther. (2015) 8:1843–7. doi:  10.2147/OTT.S78254, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Dieci MV, Tsvetkova V, Griguolo G, Miglietta F, Mantiero M, Tasca G, et al. Androgen receptor expression and association with distant disease-free survival in triple negative breast cancer: analysis of 263 patients treated with standard therapy for stage I-III disease. Front Oncol. (2019) 9:452. doi:  10.3389/fonc.2019.00452, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Constantinou C, Papadopoulos S, Karyda E, Alexopoulos A, Agnanti N, Batistatou A, et al. Expression and Clinical Significance of Claudin-7, PDL-1, PTEN, c-Kit, c-Met, c-Myc, ALK, CK5/6, CK17, p53, EGFR, Ki67, p63 in Triple-negative Breast Cancer{\textendash}A Single Centre Prospective Observational Study. In Vivo (Brooklyn). (2018) 32:303–11. doi:  10.21873/invivo.11238, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Dubrava AL, Kyaw PSP, Newman J, Pringle J, Westhuyzen J, Fuentes GLH, et al. Androgen receptor status in triple negative breast cancer: does it correlate with clinicopathological characteristics? Breast Cancer Targets Ther. (2023) 15:359–71. doi:  10.2147/BCTT.S405719, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Ni M, Chen Y, Lim E, Wimberly H, Bailey ST, Imai Y, et al. Targeting androgen receptor in estrogen receptor-negative breast cancer. Cancer Cell. (2011) 20:119–31. doi:  10.1016/j.ccr.2011.05.026, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Thike AA, Yong-Zheng Chong L, Cheok PY, Li HH, Wai-Cheong Yip G, Huat Bay B, et al. Loss of androgen receptor expression predicts early recurrence in triple-negative and basal-like breast cancer. Mod Pathol an Off J United States Can Acad Pathol Inc. (2014) 27:352–60. doi:  10.1038/modpathol.2013.145, PMID: [DOI] [PubMed] [Google Scholar]
  • 34. Huang R, Han J, Liang X, Sun S, Jiang Y, Xia B, et al. Androgen receptor expression and bicalutamide antagonize androgen receptor inhibit β-catenin transcription complex in estrogen receptor-negative breast cancer. Cell Physiol Biochem Int J Exp Cell Physiol Biochem Pharmacol. (2017) 43:2212–25. doi:  10.1159/000484300, PMID: [DOI] [PubMed] [Google Scholar]
  • 35. Arce-Salinas C, Riesco-Martinez MC, Hanna W, Bedard P, Warner E. Complete response of metastatic androgen receptor-positive breast cancer to bicalutamide: case report and review of the literature. J Clin Oncol Off J Am Soc Clin Oncol. (2016) 34:e21–4. doi:  10.1200/JCO.2013.49.8899, PMID: [DOI] [PubMed] [Google Scholar]
  • 36. Hu R, Dawood S, Holmes MD, Collins LC, Schnitt SJ, Cole K, et al. Androgen receptor expression and breast cancer survival in postmenopausal women. Clin Cancer Res an Off J Am Assoc Cancer Res. (2011) 17:1867–74. doi:  10.1158/1078-0432.CCR-10-2021, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Xu M, Yuan Y, Yan P, Jiang J, Ma P, Niu X, et al. Prognostic significance of androgen receptor expression in triple negative breast cancer: A systematic review and meta-analysis. Clin Breast Cancer. (2020) 20:e385–96. doi:  10.1016/j.clbc.2020.01.002, PMID: [DOI] [PubMed] [Google Scholar]
  • 38. Choi JE, Kang SH, Lee SJ, Bae YK. Androgen receptor expression predicts decreased survival in early stage triple-negative breast cancer. Ann Surg Oncol. (2015) 22:82–9. doi:  10.1245/s10434-014-3984-z, PMID: [DOI] [PubMed] [Google Scholar]
  • 39. Astvatsaturyan K, Yue Y, Walts AE, Bose S. Androgen receptor positive triple negative breast cancer: Clinicopathologic, prognostic, and predictive features. PloS One. (2018) 13:e0197827. doi:  10.1371/journal.pone.0197827, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Zhou Z, Zhou Q. Immunotherapy resistance in triple-negative breast cancer: Molecular mechanisms, tumor microenvironment, and therapeutic implications. Front Oncol. (2025) 15:1630464. doi:  10.3389/fonc.2025.1630464, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Hassan Doreswamy S, Nimmagadda R BV, Madhunapantula S V, Mahesh PA, Srinivasan A. Impact of androgen receptor on triple negative breast cancer: a systematic review and meta-analytic study. BMJ Public Heal. (2026) 4:e002483. doi:  10.1136/bmjph-2024-002483, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Chen QX, Wang XX, Lin PY, Zhang J, Li JJ, Song CG, et al. The different outcomes between breast-conserving surgery and mastectomy in triple-negative breast cancer: a population-based study from the SEER 18 database. Oncotarget. (2017) 8:4773–80. doi:  10.18632/oncotarget.13976, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Guo L, Xie G, Wang R, Yang L, Sun L, Xu M, et al. Local treatment for triple-negative breast cancer patients undergoing chemotherapy: breast-conserving surgery or total mastectomy? BMC Cancer. (2021) 21:717. doi:  10.1186/s12885-021-08429-9, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Li H, Chen Y, Wang X, Tang L, Guan X. T1-2N0M0 triple-negative breast cancer treated with breast-conserving therapy has better survival compared to mastectomy: A SEER population-based retrospective analysis. Clin Breast Cancer. (2019) 19:e669–82. doi:  10.1016/j.clbc.2019.05.011, PMID: [DOI] [PubMed] [Google Scholar]
  • 45. Luo Y, Chen X, Lv R, Li Q, Qian S, Xu X, et al. Breast-conserving surgery versus modified radical mastectomy in T1-2N3M0 stage breast cancer: a propensity score matching analysis. Breast Cancer. (2024) 31(5):979–87. doi:  10.1007/s12282-024-01611-4, PMID: [DOI] [PubMed] [Google Scholar]
  • 46. Lehmann BD, Abramson VG, Sanders ME, Mayer EL, Haddad TC, Nanda R, et al. TBCRC 032 IB/II multicenter study: molecular insights to AR antagonist and PI3K inhibitor efficacy in patients with AR(+) metastatic triple-negative breast cancer. Clin Cancer Res an Off J Am Assoc Cancer Res. (2020) 26:2111–23. doi:  10.1158/1078-0432.CCR-19-2170, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table1.docx (669.8KB, docx)

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.


Articles from Frontiers in Oncology are provided here courtesy of Frontiers Media SA

RESOURCES