| Literature DB >> 32818842 |
Christopher S Koivisto1, Melodie Parrish2, Santosh B Bonala3, Soo Ngoi4, Adrian Torres5, James Gallagher6, Rebekah Sanchez-Hodge7, Victor Zeinner8, Georges J Nahhas9, Bei Liu10, David E Cohn11, Floor J Backes12, Paul J Goodfellow13, Helen M Chamberlin14, Gustavo Leone15.
Abstract
Androgen Receptor (AR) signaling is a critical driver of hormone-dependent prostate cancer and has also been proposed to have biological activity in female hormone-dependent cancers, including type I endometrial carcinoma (EMC). In this study, we evaluated the preclinical efficacy of a third-generation AR antagonist, enzalutamide, in a genetic mouse model of EMC, Sprr2f-Cre;Ptenfl/fl. In this model, ablation of Pten in the uterine epithelium leads to localized and distant malignant disease as observed in human EMC. We hypothesized that administering enzalutamide through the diet would temporarily decrease the incidence of invasive and metastatic carcinoma, while prolonged administration would result in development of resistance and loss of efficacy. Short-term treatment with enzalutamide reduced overall tumor burden through increased apoptosis but failed to prevent progression of invasive and metastatic disease. These results suggest that AR signaling may have biphasic, oncogenic and tumor suppressive roles in EMC that are dependent on disease stage. Enzalutamide treatment increased Progesterone Receptor (PR) expression within both stromal and tumor cell compartments. Prolonged administration of enzalutamide decreased apoptosis, increased tumor burden and resulted in the clonal expansion of tumor cells expressing high levels of p53 protein, suggestive of acquired Trp53 mutations. In conclusion, we show that enzalutamide induces apoptosis in EMC but has limited efficacy overall as a single agent. Induction of PR, a negative regulator of endometrial proliferation, suggests that adding progestin therapy to enzalutamide administration may further decrease tumor burden and result in a prolonged response.Entities:
Keywords: Androgen receptor antagonist; Endometrial carcinoma; Enzalutamide; Mouse model of endometrial cancer; PTEN; Preclinical drug evaluation
Mesh:
Substances:
Year: 2020 PMID: 32818842 PMCID: PMC7452078 DOI: 10.1016/j.neo.2020.07.003
Source DB: PubMed Journal: Neoplasia ISSN: 1476-5586 Impact factor: 5.715
PCR primers.
| Allele | Primer sequence | Product Size (bp) |
|---|---|---|
| Genotyping primers | ||
| Forward: GGTACACACGTCCTGGAATAC | 190 | |
| Reverse: TTCCCATTCTAAACAACACCCTGAA | ||
| Forward: GGGTTACACTAACTAAACGAGTCC | Wildtype: 220 | |
| Reverse 1: GAATGCCATTACCTAGTAAAGCAAGG | Floxed: 300 | |
| Reverse 2: GAATGATAATAGTACCTACTTCAG | Deleted: 280 | |
| qPCR primers | ||
| Forward: GGCTACCCCACCGAGTACAT | 130 | |
| Reverse: GGGGCCTCAGCTTGTCAAA | ||
| Forward: ATGAGTATGCTCAGGCTACAGA | 104 | |
| Reverse: GCATTGGCGATTTCATTGGTC | ||
Antibodies for immunohistochemistry.
| Antigen target | Manufacturer | Catalog # | Concentration | Antigen retrieval method |
|---|---|---|---|---|
| Ki67 | Abcam | AB1667 | 1:400 | EDTA |
| Cleaved Caspase 3 | Cell Signaling | 9579 | 1:500 | EDTA |
| Progesterone Receptor | Thermo | RM-9102-SO | 1:20 | CC1 (Tris-EDTA) |
| Estrogen Receptor | Abcam | AB32063 | 1:2000 | Citrate |
| p53 | Leica | PA0057 | EDTA | |
| Glucocorticoid Receptor | Cell Signaling | 12401 | 1:400 | Citrate |
Antibodies for flow cytometry.
| Antigen target | Manufacturer | Catalog # | Concentration |
|---|---|---|---|
| CD45 | Invitrogen | 45-0451-82 | 1:160 |
| CD3 | Life Tech | A27057 | 1:20 |
| CD4 | Biolegend | 100551 | 1:80 |
| CD8a | Biolegend | 100751 | 1:40 |
| CD11b | Biolegend | 101205 | 1:200 |
| Ly6G | Biolegend | 127639 | 1:80 |
| Ly6C | Biolegend | 128037 | 1:40 |
| Live/Dead | Thermo | L23105 | 1:1000 |
Fig. 1Effects of enzalutamide on uterine weights at 8- and 16-week timepoints. (A) Summary of study design. (B) Boxplots of individual uterine:body weight ratios. Circles represent outliers that are >1.5 box-lengths beyond the median. Statistical analysis comparing mean ratios for each treatment group and each timepoint performed by one-way ANOVA with post-hoc Bonferroni testing.
Fig. 2Ki67 expression by immunohistochemistry. (A) Boxplots quantifying mean percentage of positively stained cells expressing Ki67. Three 2 × 2 or 3 × 3 200× fields were selected from each mouse and quantified by digital image analysis. Only neoplastic glands were analyzed. Statistical analysis by Student’s T-test comparing mean percentage of positively stained tumor cells between vehicle control and high-dose groups at each timepoint performed. (B) Representative photomicrographs of Ki67 (brown) staining counterstained with hematoxylin. Scale bars: 100 µm.
Fig. 3Cleaved Caspase 3 expression by immunohistochemistry. (A) Boxplots quantifying mean percentage of positively stained cells expressing CC3. Three 2 × 2 or 3 × 3 200× fields were selected from each mouse and quantified by digital image analysis. Only neoplastic glands were analyzed. Statistical analysis by Student’s T-test comparing mean percentage of positively stained tumor cells between vehicle control and high-dose groups at each timepoint. (B) Representative photomicrographs of CC3 (brown) staining counterstained with hematoxylin. Scale bars: 100 µm.
Fig. 4Incidence of uterine in situ carcinoma, invasive carcinoma and metastatic carcinoma. (A) Table and bargraphs summarizing tumor incidences. Statistical analysis by Chi-square comparing incidence of progressive (invasive or metastatic carcinoma) disease across the three dose groups for each timepoint. (B) Photomicrographs of representative tumor morphologies. Hematoxylin and Eosin. Red dashed line separates myometrium (left) from endometrium (right). Black arrow indicates myoinvasion of neoplastic cells. Red arrow indicates metastatic endometrial carcinoma within the subcapsular sinus of a lymph node. Scale bars: 50 µm.
Fig. 5Expression of Estrogen Receptor alpha by immunohistochemistry. (A) Boxplots quantifying mean H-score of ER staining. Three 2 × 2 or 3 × 3 200× fields were selected from each mouse and quantified by digital image analysis. Statistical analysis by Student’s T-test comparing mean H-score between vehicle control and high-dose groups for each tissue compartment and each timepoint. (B) Representative photomicrographs of ER (brown) staining counterstained with hematoxylin. Scale bars: 100 µm.
Fig. 6Expression of Progesterone Receptor by immunohistochemistry. (A) Boxplots quantifying mean H-score of PR staining. Three 2 × 2 or 3 × 3 200× fields were selected from each mouse and quantified by digital image analysis. Statistical analysis by Student’s T-test comparing mean H-score between vehicle control and high-dose groups for each tissue compartment and each timepoint. (B) Representative photomicrographs of PR (brown) staining counterstained with hematoxylin. Scale bars: 100 µm.
Fig. 8Expression of Glucocorticoid Receptor by immunohistochemistry. (A) Boxplots quantifying mean H-score of GR staining. Three 2 × 2 or 3 × 3 200× fields were selected from each mouse and quantified by digital image analysis. Statistical analysis by Student’s T-test comparing mean H-score between vehicle control and high-dose groups for each tissue compartment and each timepoint. (B) Representative photomicrographs of GR (brown) staining counterstained with hematoxylin. Scale bars: 100 µm.
Fig. 7Expression of p53 by immunohistochemistry. (A) Barplots summarizing the p53 staining patterns observed in mouse uterine tumors. Statistical analysis by Chi-square comparing the incidence of clonal staining between vehicle control and high-dose groups for 16-week timepoint. (B) Representative photomicrographs of p53 (brown) staining counterstained with hematoxylin. Arrowheads point to random tumor cells expressing nuclear p53. Scale bars: 100 µm.