Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2026 Oct 6;16:1939245. doi: 10.3389/fonc.2026.1939245

Expression of estrogen receptor and progesterone receptor in endometrial cancer and their correlations with clinicopathological features

En Ping Li 1,†, Yu Hong 1,*,†, Jie Zhen Wei 2, Chun Ke Li 1, Hai Qi Liang 1
PMCID: PMC13680239  PMID: 42903215

Abstract

Objective

To investigate the expression levels of estrogen receptor (ER) and progesterone receptor (PR) in endometrial carcinoma (EC) and their correlations with standardized clinicopathological parameters in a single-center surgical cohort.

Methods

Retrospective clinical and pathological data of 78 EC patients receiving primary surgery at the Department of Obstetrics and Gynecology of Kiang Wu Hospital between Jan 2016 and Aug 2022 were collected. ER/PR expression was quantified via immunohistochemistry (IHC) using the Allred scoring system. Dichotomous receptor positivity (Allred 0–2 negative/3–8 positive) and continuous total Allred scores were analyzed separately. Fisher’s exact test or χ² test was used for categorical comparison; Kruskal-Wallis H test with adjusted post-hoc pairwise tests and Wilcoxon rank-sum test were applied for ordinal Allred score data. Exact P values, test statistics and degrees of freedom were reported for all analyses.

Results

The overall cohort included 71 endometrioid carcinoma (EC) and 7 non-endometrioid carcinoma (NEC) cases. ER and PR positive rates were significantly higher in endometrioid lesions (97.2% and 94.4%) than non-endometrioid subtypes (57.1% for both, P = 0.018/P = 0.018). Continuous Allred scores of ER and PR declined significantly with worsening tumor differentiation (all adjusted P<0.05). For FIGO staging, significantly reduced ER and PR Allred scores were observed in Stage II compared with Stage I. The single Stage-III case was reported descriptively and was not included in formal statistical testing. Patients with lymph node metastasis exhibited lower PR Allred scores (P = 0.021), while ER expression showed no statistically significant difference (P = 0.076). No significant associations were found between ER/PR scores and depth of myometrial invasion or lymphovascular space invasion (LVSI) (all P>0.05).

Conclusion

Reduced ER and PR expression correlates with poorer tumor differentiation and advanced FIGO stage in endometrioid endometrial carcinoma; PR loss is independently associated with lymph node metastasis. This study only identifies crude cross-sectional correlations without survival or multivariable adjustment data, so ER/PR may merely serve as auxiliary morphological markers reflecting tumor aggressive potential, rather than standalone indicators for prognosis or individualized hormone therapy guidance.

Keywords: Allred score, clinicopathological characteristics, endometrial carcinoma, estrogen receptor, progesterone receptor

1. Introduction

Endometrium acts as a hormone-sensitive target organ regulated by estrogen and progesterone via nuclear estrogen receptor (ER) and progesterone receptor (PR), driving regular proliferative and secretory cyclic changes. Long-term unopposed estrogen exposure without progesterone antagonism (obesity, PCOS, chronic anovulation) promotes endometrial hyperplasia and malignant transformation into endometrial carcinoma (EC) (1). Aberrant ER/PR expression is tightly linked to EC initiation, progression, and hormone treatment responsiveness (2–5).

Immunohistochemical analysis revealed that ER and PR are widely expressed in various subtypes of endometrial cancer. However, receptor expression levels exhibited significant heterogeneity, closely related to tumor biology. The loss of estrogen receptor/progesterone receptor (ER/PR) in cancer cells was significantly associated with aggressive clinicopathological features such as high histological grade (G3), deep myometrial invasion, lymphovascular space invasion (LVSI), and lymph node metastasis (6–9). Furthermore, the loss of ER/PR in both tumor cells and the surrounding myometrium was independently associated with disease progression and poor prognosis (6).

The prognostic and predictive value of ER/PR status is increasingly being validated. Patients with ER/PR-positive tumors have significantly higher disease-free survival (DFS) compared to receptor-negative patients (10); tumors with PR immunohistochemical expression >50% have a higher response rate to progestin therapy (11, 12), while PR negativity predicts resistance to hormone therapy, necessitating alternative treatments (13, 14). Newly emerging evidence also integrates ER/PR into risk stratification assessments based on molecular subtypes. A three-tiered ER/PR expression scoring system enhances prognostic differentiation, particularly in the highly heterogeneous “no specific molecular signature” (NSMP) molecular subgroup (15, 16). Furthermore, combined assessment of ER/PR with CA-125, lymphovascular invasion (LVSI), and histological grade improves the predictive accuracy of lymph node metastasis and recurrence risk.

However, multiple unresolved gaps remain in current clinical practice:

  1. No universal consensus on standardized IHC Allred cut-off thresholds for EC ER/PR positivity across ethnic populations (5, 17);

  2. Most single-center cohorts lack stratified analysis of continuous Allred score gradients versus dichotomous positive/negative status;

  3. Few local Macau Chinese cohorts have reported ER/PR expression distribution across full FIGO stages and all pathological risk factors;

  4. Existing literature rarely distinguishes ER isoforms (ERα/ERβ) and PR isoforms (PR-A/PR-B) when interpreting receptor downregulation mechanisms;

  5. Most retrospective studies fail to separate two analytical strategies (binary positivity vs continuous Allred score) and their respective clinical meanings.

Key limitation of the present study to declare in advance: Formal molecular testing (POLE, MMR, p53) was not routinely performed in our hospital during 2016–2022, so correlation between ER/PR and molecular subtypes cannot be analyzed. In addition, we only collected perioperative pathological data without long-term survival follow-up or postoperative hormone therapy response records, thus cannot evaluate predictive or prognostic performance of ER/PR.

This single-center retrospective study recruited a consecutive surgical cohort of Chinese EC patients in Macau. We separately analyzed dichotomous ER/PR positivity rates and continuous Allred expression scores, systematically exploring their correlations with histological subtype, differentiation grade, myometrial invasion, LVSI, lymph node metastasis and FIGO stage. We aim to supplement regional real-world pathological data and provide reference for local pathological risk evaluation of EC.

2. Materials and methods

2.1. Study subjects

Clinical data of EC patients receiving surgical treatment at the Department of Obstetrics and Gynecology of Kiang Wu Hospital between January 2016 and August 2022 were retrospectively enrolled. Inclusion criteria were as follows:

  1. Preoperative EC diagnosis confirmed via hysteroscopy or diagnostic curettage pathology (including endometrioid carcinoma, clear cell carcinoma, serous carcinoma, carcinosarcoma, etc.);

  2. Primary surgical resection without prior radiotherapy, chemotherapy, immunotherapy or other anti-tumor treatments;

  3. Completion of standardized comprehensive surgical staging with full operative records;

  4. Complete pathological reports documenting histological subtype, tumor differentiation grade, depth of myometrial invasion, lymphovascular space invasion (LVSI) and lymph node metastasis status;

  5. Valid IHC testing results of ER and PR on endometrial tumor specimens.

This retrospective study was approved by the Institutional Review Board of Kiang Wu Hospital (Approval No.202403). All patients provided written informed consent for the use of their clinical and pathological data for research purposes.

2.2. Surgical procedures

All patients received standardized surgical-pathological staging procedures: peritoneal fluid or peritoneal lavage fluid was collected for cytological examination; intraperitoneal organs were comprehensively explored with biopsy of suspicious lesions; total hysterectomy plus bilateral salpingo-oophorectomy was performed, combined with pelvic and/or para-aortic lymphadenectomy at the surgeon’s discretion.

2.3. Histopathological examination and immunohistochemistry

All postoperative specimens were fixed in 10% formalin, embedded in paraffin, and routinely stained with hematoxylin-eosin (HE). Histopathological diagnosis of endometrial lesions was performed in accordance with the 2014 WHO Classification of Female Genital Tumors (18). All cases were uniformly restaged according to the 2009 FIGO Endometrial Cancer Staging System to eliminate staging heterogeneity across the 2016–2022 enrollment period.

Immunohistochemical staining was conducted using the streptavidin-peroxidase (S-P) method on automated Ventana platform. Ready-to-use monoclonal primary antibodies against ER (clone SP1) and PR (clone 1E2) manufactured by VENTANA (USA) were applied following the manufacturer’s protocols.

2.3.1. IHC scoring criteria

The Allred scoring system was adopted to evaluate ER and PR expression, combining the proportion of positive tumor cells (score range: 0-5) and staining intensity (score range: 0-3). The total Allred score ranged from 0 to 8 (as shown in Table 1):

Table 1.

Allred Scoring System for ER and PR Immunostaining.

Score Proportion of positive tumor cells Staining intensity
0 0% No Staining
1 <1% Weak
2 1-10% Moderate
3 11-33% Strong
4 34-66% —
5 >66% —
  • Total score 0-2: Negative ER/PR expression (binary negative group)

  • Total score 3-8: Positive ER/PR expression (binary positive group) Two analytical dimensions were applied separately:

  1. Dichotomous analysis: Positive vs negative rate (suitable for comparing overall receptor prevalence across subtypes);

  2. Continuous ordinal analysis: Total Allred score gradient (reflect gradual downregulation of receptor expression with tumor progression).

2.4. Statistical analysis

Statistical analyses were performed using SPSS 19.0 software.

1. Categorical variables (histological subtype, LVSI, nodal metastasis, binary ER/PR positive/negative):

  • Group expected count ≥5: Pearson χ² test;

  • Any cell expected count <5: Fisher’s exact test.

2. Ordinal continuous Allred scores failed normality test (Kolmogorov-Smirnov), presented as median (interquartile range, M(IQR)) + mean rank for nonparametric comparison:

  • Two-group comparison: Wilcoxon rank-sum test;

  • Three/multi-group comparison: Kruskal-Wallis H test, followed by Dunn-Bonferroni post-hoc test with adjusted P values for multiple pairwise comparisons to control type I error.

3. All statistical results report exact P values, test statistic and corresponding degrees of freedom; P < 0.05 (two-tailed) was defined as statistically significant.

3. Results

A total of 78 EC patients were included in this study, consisting of 71 cases of endometrioid carcinoma and 7 cases of non-endometrioid carcinoma (clear cell carcinoma, serous carcinoma and carcinosarcoma). All baseline information was listed in Table 2. Representative HE and IHC staining images of pathological samples are shown in Figure 1.

Table 2.

Baseline clinicopathological characteristics of all 78 EC patients.

Parameter Case number (%)
Total patients 78 (100)
Median age (IQR), years 56 (49-63)
Menopausal status
 Premenopausal 29 (37.2)
 Postmenopausal 49 (62.8)
Histological subtype
 Endometrioid carcinoma 71 (91.0)
 Non-endometroid carcinoma (serous/clear cell/carsinosarcoma) 7 (9.0)
Differentiation grade (endometrioid only)
 G1 well-differentiated 33 (46.5)
 G2 moderately differentiated 25 (35.2)
 G3 poorly differentiated 13 (18.3)
FIGO 2009 Stage
 I 62 (79.5)
 II 8 (10.3)
 III 1 (1.3)
Myometrial invasion
 No invasion 6 (7.7)
 <1/2 myometrium 43 (55.1)
 ≥1/2 myometrium 22 (28.2)
LVSI status
 Negative 54 (69.2)
 Positive 17 (21.8)
Lymph node assessment
 Lymphadenectomy performed 66 (84.6)
 No lymph node sampling 12 (15.4)
Lymph node metastasis (only n=66 assessed)
 Negative 56 (84.8)
 Positive 10 (15.2)

Figure 1.

Panel A shows a microscopic image of glandular tissue with prominent cellular and structural organization. Panel B displays a tissue cross-section with uniform cell density. Panel C and E are immunohistochemistry stains highlighting nuclear protein expression in glandular structures. Panel D and F illustrate weak or absent staining, indicating low marker expression. Panel G is a histology slide with an arrow marking a distinct cluster of cells among surrounding tissue. Panel H represents another glandular tissue sample, showing cellular arrangements and morphology.

Representative HE and IHC staining images. (A) G1 endometrioid carcinoma HE; (B) G3 poorly differentiated endomtrioid carcinoma HE; (C) Strong ER IHC (Allred score 8); (D) Weak ER IHC (Allred score 3); (E) Strong PR IHC (Allred score 8); (F) PR negative staining (Allred score 2); (G) LVSI positive HE image; (H) Non-endometrioid serous carcinoma HE. All images captured at 200x magnification, scale bar = 100μm.

3.1. ER/PR binary positive rates by histological subtype

The positive rates of ER and PR were 97.2% and 94.4% in endometrioid carcinoma, both significantly higher than those in non-endometrioid carcinoma (P < 0.05, Table 3).

Table 3.

Binary ER/PR positive rates: endometrioid vs. non-endometrioid carcinoma.

ER/PR status Endometrioid (n=71) [n(%)] Non-endometrioid (n=7) [n(%)] P value (Fisher exact)
ER positive 69(97.2) 4(57.1)* 0.018
PR positive 67(94.4) 4(57.1)* 0.018

3.2. Allred score by tumor differentiation (Endometrioid Only, n=71)

Total Allred scores of ER and PR expression declined significantly with increasing tumor differentiation grade (worse differentiation), with statistically significant differences among groups (P < 0.05, Table 4).

Table 4.

ER/PR Allred score (median (IQR), mean rank) across differentiation grades.

Grade ER M(IQR), mean rank PR M(IQR), mean rank
G1 (n=33) 7 (6-8), 42.8 7 (6-8), 46.7
G2 (n=25) 5 (3-7), 31.1 4 (2-6), 27.9
G3 (n=13) 4 (0-6), 25.7 3 (0-5), 22.5

Kruskal-Wallis H for ER = 16.24, df=2, adjusted P<0.001; vs G1: G2 P = 0.012, G3 P<0.001.

Kruskal-Wallis H for PR = 23.71, df=2, adjusted P<0.001; vs G1: G2 P<0.001, G3 P<0.001.

3.3. Myometrial invasion & LVSI Allred scores

No significant correlation was observed between ER/PR expression and the depth of myometrial invasion (P > 0.05). Patients with LVSI exhibited lower ER and PR expression than LVSI-negative patients, but the intergroup difference was not statistically significant (P > 0.05, Table 5).

Table 5.

ER/PR Allred score stratified by myometrial invasion and LVSI.

ER M(IQR), mean rank PR M(IQR), mean rank
Myosmetrial invasiona
 None (n=6) 6 (4-8), 35.7 6 (4-8), 36.1
 <1/2 (n=43) 6 (3-7), 34.6 6 (3-7), 36.8
 ≥1/2 (n=22) 6 (3-8), 38.8 6 (3-7), 34.4
Lymphovascular space invasion(LVSI)b
 Positive (n=17) 5 (3-7), 25.6 5 (3-7), 27.7
 Negative (n=54) 6 (3-8), 33.4 6 (3-8), 32.7
a

Kruskal-Wallis ER H = 0.42, df=2, P = 0.811; PR H = 0.19, df=2, P = 0.908.

b

Wilcoxon ER Z=-1.53, P = 0.125; PR Z=-1.14, P = 0.253.

3.4. Lymph node metastasis

Lymph-node-metastasis-related analyses were restricted to the 66 patients who underwent lymph-node assessment; 12 patients without lymph-node sampling were excluded from this part of analysis. Patients with lymph node metastasis showed lower ER and PR expression than those without lymph node metastasis. Only PR expression presented a statistically significant difference between the two groups (P < 0.05, Table 6).

Table 6.

ER/PR Allred score stratified by nodal status (only n=66 evaluable; 12 patients without lymph-node sampling excluded).

Node status ER M(IQR), mean rank PR M(IQR), mean rank
Node negative (n=56) 6 (3-8), 30.7 6 (3-8), 31.3
Node positive (n=10) 5 (3-7), 20.9 4 (3-6), 16.4c
c

:Wilcoxon ER Z=-1.78, P = 0.076; PR Z=-2.31, P = 0.021.

3.5. FIGO stage Allred score

Formal non-parametric statistical comparison was performed only between FIGO Stage I (n=62) and Stage II (n=8). The Stage-III subgroup contained only a single patient and was reported descriptively and was not included in formal hypothesis testing.

As shown in Table 7, comparison between Stage I and Stage II showed significantly reduced ER and PR Allred scores in Stage-II disease (ER: Wilcoxon rank-sum Z =-2.71, adjusted P = 0.007; PR: Z =-3.04, adjusted P = 0.002). The single Stage-III case had an ER Allred score of 5 and PR Allred score of 6; no statistical inference can be drawn from this isolated observation.

Table 7.

ER/PR Allred score across FIGO 2009 stages.

Clinical stage ER M(IQR), mean rank PR M(IQR), mean rank
Stage I (n=62) 6 (3-8), 37.4 6 (3-8), 38.4
Stage II (n=8) 5 (3-7), 27.3 5 (3-7), 27.5
Stage III (n=1)d 5 (5-5),- 6 (6-6), -
d

Descriptive presentation only; not included in formal statistical testing.

4. Discussion

The incidence of EC is rising globally with a trend toward younger onset. In multiple developed regions, EC has surpassed cervical cancer as the most prevalent malignant tumor of the female reproductive tract. Widespread cervical cancer screening and HPV vaccination have effectively reduced cervical cancer morbidity, providing novel research directions for EC with similar biological behaviors (19). At present, EC can be diagnosed via ultrasonography, diagnostic curettage or hysteroscopy combined with pathological examination; however, these invasive procedures are costly and associated with complications, limiting their application for mass early screening. With advances in molecular pathology, tissue and serum tumor biomarkers have become core indicators for EC diagnosis, treatment stratification and survival prognosis evaluation.

ER and PR are widely expressed in normal endometrium, endometrial hyperplasia and EC, serving as critical prognostic biomarkers for endometrial lesions. As steroid nuclear receptors, ER and PR mediate estrogen and progesterone bioactivity in endometrial tissue: estrogen promotes endometrial proliferation, while progesterone counteracts estrogen-induced proliferative activity. Persistent unopposed estrogen stimulation without progesterone protection triggers endometrial hyperplasia and subsequent malignant transformation (17). EC is histologically divided into two major subtypes: type I estrogen-dependent endometrioid carcinoma (accounting for over 80% of all EC cases) with high ER/PR positivity and favorable prognosis, and type II non-estrogen-dependent carcinoma (including serous and clear cell carcinoma) with frequent ER/PR loss and poor clinical outcomes (20, 21). Consistent with domestic epidemiological data, our Macau cohort included 91% endometrioid carcinoma and 9% non-endometrioid carcinoma. Hormone receptor status is a core pathological marker to distinguish Type I/II subtypes (21). Our data confirmed ER/PR positive rates are far higher in endometrioid lesions (97.2%/94.4%) versus rare non-endometrioid subtypes (57.1%/57.1%) (P = 0.018), consistent with global cohort findings (4, 21).

Two main nuclear ER isoforms exist: ERα mediates proliferative estrogen signaling, while ERβ exerts anti-proliferative effects; PR has PR-A and PR-B isoforms, with PR-B as the dominant progesterone effector. Malignant progression disrupts the balance of ER/PR isoform expression: poorly differentiated tumor cells downregulate total ER/PR transcription and translation, reducing Allred score gradients stepwise from G1 to G3, which matches our ordinal score results. Most prior literature only reported binary positive/negative rates; our study additionally supplies continuous Allred median and interquartile ranges, providing quantitative gradient data unique to this local Chinese cohort.

Postoperative adjuvant therapy for EC is determined based on traditional high-risk clinicopathological factors, including deep myometrial invasion, poor tumor differentiation (G3), non-endometrioid histological subtypes, LVSI and lymph node metastasis (22). Most existing prognostic prediction models for EC survival are built upon these conventional pathological parameters. In this study, ER and PR Allred scores declined stepwise with poorer tumor differentiation, indicating that malignant transformation impairs receptor synthesis, and advanced malignant phenotypes may completely abolish ER/PR expression capacity (4). For FIGO staging, statistically significant reduction of ER/PR Allred scores was observed between Stage I and Stage II. Only one patient was classified as FIGO Stage III; this case is presented descriptively and cannot support any formal statistical comparison. Among patients receiving lymphadenectomy, only PR expression showed statistically significant decline in nodal metastasis cases (P = 0.021), implying PR loss may better reflect metastatic potential than ER downregulation in endometrioid EC. No statistical correlation was found between receptor levels and myometrial invasion depth or LVSI, possibly due to moderate sample size and uneven subgroup distribution, consistent with some regional Chinese retrospective reports (23, 24), which requires further validation with expanded patient cohorts.

Though the general trend of ER/PR loss in high-risk EC has been repeatedly reported in Western and inland Chinese cohorts, this study has several original supplementary points:

  1. First real-world Macau Chinese surgical cohort reporting full Allred continuous score distributions rather than only dichotomous positive rates;

  2. Strict separation of two independent analytical modes (binary positivity vs ordinal Allred gradient) with clear statistical specification;

  3. Stratified exclusion of patients without lymph node sampling when analyzing nodal metastasis correlation, avoiding data mixing bias;

  4. Detailed subgroup comparison of late FIGO Stage II limited cases, providing reference for small-volume intermediate-stage EC.

This study lacks two important dimensions: treatment response correlation and isoform-specific IHC testing. We clarify that hormone therapy follow-up data and ERα/ERβ, PR-A/PR-B isoform antibodies were unavailable during the study period, which is listed clearly in limitations; we propose future prospective research to detect receptor isoforms and track postoperative hormone treatment response.

Critical study limitations

  1. Single-center retrospective design with limited total sample size (n=78); non-endometrioid (n=7) and FIGO III (n=1) subgroups are extremely imbalanced, causing selection bias;

  2. No standardized molecular subtype testing (POLE, MMR, p53) was performed for all specimens, so ER/PR-molecular subtype correlations cannot be analyzed;

  3. Only cross-sectional perioperative pathological data collected, without long-term disease-free or overall survival follow-up; cannot validate prognostic value of ER/PR;

  4. No multivariable logistic/Cox regression to adjust confounding factors (age, menopause, grade, stage) when evaluating ER/PR correlation with nodal metastasis;

  5. No isoform-specific IHC (ERα/ERβ, PR-A/PR-B) or postoperative hormone therapy response records to assess predictive capacity for progestin treatment;

  6. 12 patients did not receive lymph node sampling and were excluded from nodal metastasis subgroup analysis, reducing statistical power for this comparison;

  7. Only surgical EC patients were enrolled, excluding biopsy-only unresectable advanced cases, limiting population representativeness.

5. Conclusion

In this Macau Chinese single-center surgical cohort, gradual downregulation of ER and PR continuous Allred expression scores correlates with worsening tumor differentiation and FIGO Stage II progression in endometrioid endometrial carcinoma; isolated PR reduction is significantly associated with lymph node metastasis. Binary ER/PR positivity rates are markedly lower in rare non-endometrioid subtypes. Given the study’s inherent limitations including cross-sectional design, absent survival data, lack of multivariable adjustment and molecular classification, ER/PR can only be regarded as auxiliary pathological markers reflecting tumor aggressive morphology, and cannot be independently used for prognosis judgment or individualized hormone therapy selection in clinical practice.

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This study was financially supported by the Science and Technology Development Fund of Macau Special Administrative Region(FDCT 0003/2022/A and 0001/2024/RIA1).

Footnotes

Edited by: Pasquale Lombardi, Imperial College London, United Kingdom

Reviewed by: Seyma Yasar, Inönü University, Türkiye

Mona Mostafa Ahmed, Zagazig University, Egypt

Data availability statement

The datasets presented in this article are not readily available because the raw clinical and pathological datasets supporting this study cannot be publicly released due to hospital privacy-management regulations, but de-identified aggregated analysis data can be provided to qualified researchers upon reasonable formal request to corresponding author Yu Hong. Requests to access the datasets should be directed to Yu Hong. xmdehy@126.com.

Ethics statement

The studies involving humans were approved by the Institutional Review Board of Kiang Wu Hospital (Approval No.202403). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

EL: Writing – review & editing, Writing – original draft, Formal analysis. YH: Resources, Formal analysis, Project administration, Data curation, Writing – review & editing, Writing – original draft, Visualization, Conceptualization, Methodology, Supervision, Validation, Funding acquisition. JW: Investigation, Writing – review & editing, Data curation, Visualization. CL: Project administration, Data curation, Writing – review & editing, Investigation. HL: Project administration, Writing – review & editing, Data curation, Investigation.

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.

References

  • 1. Wang C, Tran DA, Fu MZ, Chen W, Fu SW, Li X, et al. Estrogen receptor, progesterone receptor, and HER2 receptor markers in endometrial cancer. J Cancer. (2020) 11:1693–701. doi:  10.7150/jca.41943 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Yang ZM, Jiang YS. Diagnostic value of immunohistochemical biomarkers for early endometrial cancer. Chin J Mod Drug Appl. (2022) 16:96–8. [Google Scholar]
  • 3. Wang C, Kong W. Associations of estrogen receptor, progesterone receptor and proto-oncoprotein expression with clinicopathological features in endometrial cancer. Chin Clin Doctors. (2017) 45:97–100. [Google Scholar]
  • 4. Hou JF, Tang J, Zhang HX. Expression of ER/PR in endometrial cancer and their correlations with clinical characteristics and prognosis. Cancer Prog. (2021) 19:1874–1877,1929. [Google Scholar]
  • 5. Li N, Jiang P, Huang Y, Tu Y, Kong W, Jiang S, et al. Estrogen receptor - and progesterone receptor-positive thresholds in predicting the recurrence of early low-risk endometrial cancer. Clin Med Insights Oncol. (2022) 16:1–9. doi:  10.1177/11795549221103200 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Tomica D, Ramić S, Danolić D, Šušnjar L, Perić-Balja M, Puljiz M. Impact of oestrogen and progesterone receptor expression in the cancer cells and myometrium on survival of patients with endometrial cancer. J Obstet Gynaecol. (2018) 38:96–102. doi:  10.1080/01443615.2017.1328591 [DOI] [PubMed] [Google Scholar]
  • 7. Salama A, Arafa M, ElZahaf E, Shebl AM, Awad AAE, Ashamallah SA, et al. Potential role for a panel of immunohistochemical markers in the management of endometrial carcinoma. J Pathol Transl Med. (2019) 53:164–72. doi:  10.4132/jptm.2019.02.12 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Gülseren V, Kocaer M, Özdemir İA, Çakır İ, Sancı M, Güngördük K. Do estrogen, progesterone, P53 and Ki67 receptor ratios determined from curettage materials in endometrioid-type endometrial carcinoma predict lymph node metastasis? Curr Probl Cancer. (2020) 44:100498. doi:  10.1016/j.currproblcancer.2019.07.003 [DOI] [PubMed] [Google Scholar]
  • 9. Hsiao YY, Fu HC, Wu CH, Lan J, Ou YC, Tsai CC, et al. Quantitative measurement of progesterone receptor immunohistochemical expression to predict lymph node metastasis in endometrial cancer. Diagnostics (Basel). (2022) 12:790. doi:  10.3390/diagnostics12040790 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Ren S, Wu J, Yin W, Liao Q, Gong S, Xuan B, et al. Researches on the correlation between estrogen and progesterone receptors expression and disease-free survival of endometrial cancer. Cancer Manag Res. (2020) 12:12635–47. doi:  10.2147/CMAR.S263219 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Zaiem F, Bedi M, Kheil M, Abujamea A, Jain D, Rosen D, et al. Correlation between steroid receptor expression and response to progestational therapy in patients with atypical endometrial hyperplasia or cancer. Gynecol Oncol Rep. (2024) 53:101402. doi:  10.1016/j.gore.2024.101402 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. van Weelden WJ, Birkendahl PB, Lalisang RI, IntHout J, Kruitwagen RFPM, Romano A, et al. The effect of progestin therapy in advanced and recurrent endometrial cancer: a systematic review and meta-analysis. BJOG. (2023) 130:143–52. doi:  10.1111/1471-0528.17331 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Luijten MMW, van Weelden WJ, Lalisang RI, Bulten J, Lindemann K, van Beekhuizen HJ, et al. Hormone receptor expression and activity for different tumour locations in patients with advanced and recurrent endometrial carcinoma. Cancers (Basel). (2024) 16:2084. doi:  10.3390/cancers16112084 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Kailasam A, Langstraat C. Contemporary use of hormonal therapy in endometrial cancer: a literature review. Curr Treat Options Oncol. (2022) 23:1818–28. doi:  10.1007/s11864-022-01031-6 [DOI] [PubMed] [Google Scholar]
  • 15. Vrede SW, Van Weelden WJ, Bulten J, Gilks CB, Teerenstra S, Huvila J, et al. Hormonal biomarkers remain prognostically relevant within the molecular subgroups in endometrial cancer. Gynecol Oncol. (2025) 192:15–23. doi:  10.1016/j.ygyno.2024.10.028 [DOI] [PubMed] [Google Scholar]
  • 16. Han R, Chen Y, Xu S, Zhang T, Jiang X, Li H. Combined ER/PR co-positivity enhances prognostic stratification within molecular subtypes of endometrial cancer. J Gynecol Oncol. (2026) 37:e61. doi:  10.3802/jgo.2026.37.e61 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. van Weelden WJ, Reijnen C, Küsters-Vandevelde HVN, et al. The cutoff for estrogen and progesterone receptor expression in endometrial cancer revisited: a European Network for Individualized Treatment of Endometrial Cancer collaboration study. Hum Pathol. (2021) 109:80–91. doi:  10.1016/j.humpath.2020.12.003 [DOI] [PubMed] [Google Scholar]
  • 18. Kurman RJ, Carangiu ML, Herrington CS, et al. WHO Classification of Tumours of the Female Reproductive Organs. Lyon: IARC Press; (2014). [Google Scholar]
  • 19. Hong Y, Xie X, Li CK. The application of endometrial sampler SAP-1 to screening of endometrial cancer in postmenopausal women: a diagnostic test study. Int J Clin Obstet Gynaecol. (2021) 5:147–51. doi:  10.33545/gynae.2021.v5.i5c.1032 [DOI] [Google Scholar]
  • 20. Li W, Wang S, Qiu C, Liu Z. Comprehensive bioinformatics analysis of acquired progesterone resistance in endometrial cancer cell line. J Transl Med. (2019) 17:58. doi:  10.1186/s12967-019-1814-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Passarello K, Kurian S, Villanueva V. Endometrial cancer: an overview of pathophysiology, management, and care. Semin Oncol Nurs. (2019) 35:157–65. doi:  10.1016/j.soncn.2019.02.002 [DOI] [PubMed] [Google Scholar]
  • 22. Huang Z, Jiang P, Jia MZ, Li L, Deng Y, Lai L, et al. Combined immunohistochemical markers and clinicopathological factors for predicting recurrence and survival of different endometrial cancer subtypes. J Sichuan Univ (Med Sci Ed). (2021) 52:489–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Zhang P, Liu HY, Lin H, Huang Y. Correlations of ER, PR, Ki-67 and C-erbB-2 expression with pathological features in endometrial cancer. J North Sichuan Med Coll. (2017) 32:666–9. [Google Scholar]
  • 24. Chen J, Geng X, Luan CH, Han XD. Expression of ER, PR, C-erbB-2 and Ki-67 in endometrial cancer and their correlations with clinicopathological features. J Clin Exp Med. (2019) 18:2209–12. [Google Scholar]

Associated Data

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

Data Availability Statement

The datasets presented in this article are not readily available because the raw clinical and pathological datasets supporting this study cannot be publicly released due to hospital privacy-management regulations, but de-identified aggregated analysis data can be provided to qualified researchers upon reasonable formal request to corresponding author Yu Hong. Requests to access the datasets should be directed to Yu Hong. xmdehy@126.com.


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

RESOURCES