Hormone Receptor-positive Breast Cancer Patients Research Articles

HER4 Affects Sensitivity to Tamoxifen and Abemaciclib in Luminal Breast Cancer Cells and Restricts Tumor Growth in MCF-7-Based Humanized Tumor Mice

The impact of the HER4 receptor on the growth and treatment of estrogen receptor-positive breast cancer is widely uncertain. Using CRISPR/Cas9 technology, we generated stable HER4 knockout variants derived from the HER4-positive MCF-7, T-47D, and ZR-75-1 breast cancer cell lines. We investigated tumor cell proliferation as well as the cellular and molecular mechanisms of tamoxifen, abemaciclib, AMG232, and NRG1 treatments as a function of HER4 in vitro. HER4 differentially affects the cellular response to tamoxifen and abemaciclib treatment. Most conspicuous is the increased sensitivity of MCF-7 in vitro upon HER4 knockout and the inhibition of cell proliferation by NRG1. Additionally, we assessed tumor growth and immunological effects as responses to tamoxifen and abemaciclib therapy in humanized tumor mice (HTM) based on MCF-7 HER4-wildtype and the corresponding HER4-knockout cells. Without any treatment, the enhanced MCF-7 tumor growth in HTM upon HER4 knockout suggests a tumor-suppressive effect of HER4 under preclinical but human-like conditions. This phenomenon is associated with an increased HER2 expression in MCF-7 in vivo. Independent of HER4, abemaciclib and tamoxifen treatment considerably inhibited tumor growth in these mice. However, abemaciclib-treated hormone receptor-positive breast cancer patients with tumor-associated mdm2 gene copy gains or pronounced HER4 expression showed a reduced event-free survival. Evidently, the presence of HER4 affects the efficacy of tamoxifen and abemaciclib treatment in different estrogen receptor-positive breast cancer cells, even to different extents, and is associated with unfavorable outcomes in abemaciclib-treated patients.

HER4 Affects Sensitivity to Tamoxifen and Abemaciclib in Luminal Breast Cancer Cells and Restricts Tumor Growth in MCF-7-Based Humanized Tumor Mice.

The impact of the HER4 receptor on the growth and treatment of estrogen receptor-positive breast cancer is widely uncertain. Using CRISPR/Cas9 technology, we generated stable HER4 knockout variants derived from the HER4-positive MCF-7, T-47D, and ZR-75-1 breast cancer cell lines. We investigated tumor cell proliferation as well as the cellular and molecular mechanisms of tamoxifen, abemaciclib, AMG232, and NRG1 treatments as a function of HER4 in vitro. HER4 differentially affects the cellular response to tamoxifen and abemaciclib treatment. Most conspicuous is the increased sensitivity of MCF-7 in vitro upon HER4 knockout and the inhibition of cell proliferation by NRG1. Additionally, we assessed tumor growth and immunological effects as responses to tamoxifen and abemaciclib therapy in humanized tumor mice (HTM) based on MCF-7 HER4-wildtype and the corresponding HER4-knockout cells. Without any treatment, the enhanced MCF-7 tumor growth in HTM upon HER4 knockout suggests a tumor-suppressive effect of HER4 under preclinical but human-like conditions. This phenomenon is associated with an increased HER2 expression in MCF-7 in vivo. Independent of HER4, abemaciclib and tamoxifen treatment considerably inhibited tumor growth in these mice. However, abemaciclib-treated hormone receptor-positive breast cancer patients with tumor-associated mdm2 gene copy gains or pronounced HER4 expression showed a reduced event-free survival. Evidently, the presence of HER4 affects the efficacy of tamoxifen and abemaciclib treatment in different estrogen receptor-positive breast cancer cells, even to different extents, and is associated with unfavorable outcomes in abemaciclib-treated patients.

Prevalence of Occult Ovarian Cancer and Metastatic Breast Cancer in Ovarian Ablation Specimens of Patients With Hormone Receptor-Positive Breast Cancer: Implications for Tissue Sampling Strategies, Early Ovarian Cancer Detection and Resource Utilization.

Bilateral oophorectomy is one method of hormone suppression for premenopausal patients with hormone receptor-positive breast cancer. Such specimens could, in theory, harbor occult early ovarian cancer and/or metastatic breast cancer but guidelines for tissue sampling for pathologic examination remain to be addressed. Therefore, we evaluated oophorectomy specimens from 166 patients who underwent ovarian ablation for hormone receptor-positive breast cancer. Results of germline genetic testing were documented by the surgeon in only 31.3% of the pathology specimen requisition forms, whereas that information was available for 81.3% of patients elsewhere in the electronic medical records. All but 5.2% tested negative for a hereditary ovarian cancer gene pathogenic variant before oophorectomy. Complete tissue sampling was performed in 77.1% of the cases and representative sampling in the remainder. No cases of ovarian cancer were observed. Ovarian metastasis of breast cancer was identified in 9.6% of patients, all of whom were already known to have advanced-stage disease. The number of tissue cassettes per ovary required for complete tissue submission was on average three times higher than that for representative tissue sampling (P < 0.01) and ranged up to 20 cassettes per ovary when multiple follicle cysts were present. We propose that guidelines for tissue sampling in this context be defined by a combination of hereditary risk and macroscopic examination; representative sampling is reasonable for macroscopically normal ovaries in hormone receptor-positive breast cancer patients whose germline genetic testing is negative. Positive genetic test results merit complete tissue submission even if macroscopically normal. This strategy balances the goals of early ovarian cancer detection and optimal resource utilization. However, it depends on clear documentation of genetic test results. Our study demonstrates that many opportunities remain to close gaps in the communication of genetic test results by clinicians submitting oophorectomy specimens for pathologic evaluation.

Different dosage forms of GnRHa with endocrine therapy in premenopausal hormone Receptor-Positive breast cancer.

Despite the wide use of a three-month gonadotropin-releasing hormone agonist (3M GnRHa) for ovarian function suppression (OFS) in premenopausal breast cancer patients, it remains unclear whether it is as effective and safe as a one-month GnRHa regimen (1M GnRHa) when combined with selective estrogen receptor modulators (SERMs) or aromatase inhibitors (AIs), especially in younger patients. This retrospective cohort study included 1109 premenopausal hormone receptor-positive (HR+) breast cancer patients treated with GnRHa plus SERM or AI. The estradiol (E2) inhibition rate within 1-24 months after treatment with 1M or 3M GnRHa in cohorts and different subgroups was analyzed. Following 1:1 propensity score matching, 950 patients with a mean age of 39 years and a median follow-up of 46 months were included. Both the 1M and 3M groups achieved >90% E2 inhibition within 24 months (94.53% vs 92.84%, 95% CI (-4.78%, 1.41%)), confirming the non-inferiority of 3M GnRHa. Both 1M and 3M GnRHa rapidly and consistently reduced E2 levels. 60 (6.3%) patients experienced incomplete ovarian function suppression (iOFS), with similar rates in the 1M and 3M groups (5.5% vs 7.2%). iOFS mainly occurred within the first 12 months, with age <40 years and no prior chemotherapy being the risk factors. Similar disease-free survival (DFS) and overall survival (OS) were found in the 1M and 3M groups, and in patients with complete and incomplete OFS (p > .05). The OFS with 3M GnRHa was not inferior to that with 1M GnRHa, regardless of age or combination with a SERM or an AI.

Identification of non-adherence to adjuvant letrozole using a population pharmacokinetics approach in hormone receptor-positive breast cancer patients

BackgroundLetrozole, an aromatase inhibitor metabolised via CYP2A6 and CYP3A4/5 enzymes, is used as adjuvant therapy for women with hormone receptor (HR)-positive early breast cancer. The objective of this study was to quantify the impact of CYP2A6 genotype on letrozole pharmacokinetics (PK), to identify non-adherent patients using a population approach and explore the possibility of a relationship between non-adherence and early relapse. MethodsBreast cancer patients enrolled in the prospective PHACS study (ClinicalTrials.gov NCT01127295) and treated with adjuvant letrozole 2.5 mg/day were included. Trough letrozole concentrations (Css,trough) were measured every 6 months for 3 years by a validated LC-MS/MS method. Concentration-time data were analysed using non-linear mixed effects modelling. Three methods were evaluated for identification of non-adherent subjects using the base PK model. Results617 patients contributing 2534 plasma concentrations were included and led to a one-compartment PK model with linear absorption and elimination. Model-based methods identified 28 % of patients as non-adherent based on high fluctuations of their Css,trough compared to 3 % based on patient declarations. The covariate analysis performed in adherent subjects revealed that CYP2A6 intermediate (IM) and slow metabolisers (SM) had 21 % (CI95 % = 12 – 30 %) and 46 % (CI95 % = 41 – 51 %) lower apparent clearance, respectively, compared to normal and ultrarapid metabolisers (NM+UM). Early relapse (19 patients) was not associated with model-estimated, concentration-based or declared adherence in the total population (p = 0.41, p = 0.37 and p = 0.45, respectively). ConclusionsThese findings will help future investigations focusing on the exposure-efficacy relationship for letrozole in adjuvant setting.

Impact of the genomic signature of 70-genes for breast cancer in the public system and in supplementary health care in a country of medium socioeconomic development

IntroductionThe financial impact of breast cancer has been discussed due to its high incidence and the increased costs of systemic therapy and is even more relevant in countries with low and medium socioeconomic development. ObjectiveTo evaluate the financial viability of using the MammaPrint™ (MP) genetic signature in a public and private system in a country with a medium socioeconomic development index. Material and methodA pharmacoeconomic trial with a cost-benefit analysis evaluating the reduction in costs of chemotherapy, support drugs, and materials used during chemotherapy infusion in high-risk hormone receptor-positive (HR+) breast cancer patients submitted to analysis using the MammaPrint™ genetic signature. ResultsThe value of using MammaPrint™ in the Unified Health System (SUS) would bring an additional cost of US$ 1,334.56 per patient in the over-50 age group. In private medicine, the use of MammaPrint™ in the same population would result in cost savings ranging from US$ 2,422.53 to US$ 9,989.95 per patient. ConclusionThe use of MP in RH + breast cancer patients with high clinical risk and low genomic risk in Brazil leads to significant savings in resources when applied to supplementary healthcare. In the SUS, reducing the costs of MP for large-scale use could make its application viable. These values need to be re-evaluated in each institution, using the methodology applied in the trial, adjusting according to costs, to obtain a result that reflects its reality.

Abstract PO5-15-11: A Novel Biosignature to Predict Radiation Therapy Response in Early-Stage Invasive Breast Cancer Treated with Breast-Conserving Surgery

Abstract Introduction: Radiation therapy (RT) is a standard component of treatment for most patients with early-stage, hormone receptor-positive, invasive breast cancer (BC) following breast-conserving surgery (BCS). RT recommendations are primarily based on clinicopathologic (CP) factors, such as tumor size, nodal status, and histological grade. While these factors provide prognostic information, their ability to accurately identify patients at a higher risk of ipsilateral breast recurrence (IBR) or those who will significantly benefit from RT is unclear. Therefore, incorporation of additional predictive markers beyond CP factors is warranted and there remains a need to refine the selection criteria for patients who will derive the greatest benefit from RT. In this study, we aimed to explore the role of immune and metabolic signaling axes as potential predictive markers for RT response in hormone receptor-positive breast cancer patients. Methods: A cohort of 939 women from Sweden were diagnosed with BC between 1987 and 2004. A subset of 471 patients was diagnosed with T1-T2N0M0 BC and underwent BCS with negative margins. Patients were treated with BCS plus/minus RT (median dose 50Gy) based upon physician preference. Biomarkers were assayed in formalin-fixed paraffin-embedded tissue micro arrays using multiplex immunofluorescence and multi-spectral imaging in a CLIA lab (Laguna Hills, CA). Immune and metabolic axes were defined employing biomarkers and used to classify patients into three risk groups: 1) Low Risk (lower baseline risk and no RT benefit), 2) Elevated Risk (higher baseline risk and significant RT benefit), and 3) Residual Risk (higher baseline risk and suboptimal RT benefit). Risk groups were analyzed for IBR rate using Kaplan-Meier and Cox proportional hazards analyses. Risk group prognosis and RT prediction was assessed for RT-risk group interaction in multivariable analysis, adjusting for CP factors. Results: Among the patients with complete biomarker data, 261 were hormone receptor-positive, and had a median follow-up of 140 months. Median age was 62 years (28-88 years), and median tumor size was 1.1 cm (0.1-4 cm). Some patients (21%) received endocrine therapy (ET), and most (76%) received RT, with 79% of patients who received ET also receiving RT. In the overall population, RT following BCS was associated with a reduction in HR for recurrence (HR=0.3, 95%CI [0.1, 0.5], p&amp;lt; 0.001). Patients classified as Low Risk (41%) did not have a significant benefit from RT (HR=0.9, 95%CI [0.1, 8.3], p=0.95) in multivariable analysis adjusted for CP factors. For patients who were classified as Elevated Risk (31%), multivariable analysis showed a higher IBR rate without RT (HR=5.7, 95%CI [1.3, 25.1], p&amp;lt; 0.021) relative to the Low Risk group who had a significant benefit from RT (HR=0.1, 95%CI [0.02, 0.2], p&amp;lt; 0.001). Patients classified into the Residual Risk group (28%) had no significant reduction from RT (HR=0.7, 95%CI [0.2, 2.0], p=0.61). However, in multivariable analysis adjusted for CP factors, patients treated with RT in the Residual Risk group had higher IBR rates (HR=3.7, 95%CI [1.6, 8.7], p=0.0026) compared to RT-treated patients in other risk groups. The biosignature was predictive for RT benefit in multivariable analysis adjusted for CP factors (p-interaction &amp;lt; 0.001). Conclusions:The biosignature used in this study demonstrated the potential to identify patients who may derive limited benefit from RT, allowing for tailored therapeutic approaches. These findings underscore the importance of individualized treatment decisions based on risk stratification. Further clinical validation and refinement of risk stratification strategies are warranted to optimize outcomes in hormone receptor-positive, BC patients undergoing BCS. Citation Format: Troy Bremer, Karuna Mittal, Chirag Shah, Frank Vicini, Steven Shivers, Charlotta Wadsten. A Novel Biosignature to Predict Radiation Therapy Response in Early-Stage Invasive Breast Cancer Treated with Breast-Conserving Surgery [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-15-11.

Abstract PO5-21-05: An Endocrine Resistant-Related Gene Signature Revealing the Tumor Microenvironment to Predict the Prognosis of Hormone Receptor-Positive Breast Cancer Patients

Abstract Key words: breast cancer; hormone receptor-positive; predictive model; prognosis; endocrine therapy; drug resistance Hormone receptor positive (HR+) breast cancer is the most common type of breast cancer, accounting for approximately 70% of all breast cancer, in whom endocrine therapy plays a vital role. However, the limited effectiveness of endocrine therapy due to intricate mechanisms of drug resistance poses a significant challenge in treating certain patients. Therefore, it is imperative to identify novel indicators of endocrine resistance and develop new models for predicting recurrence-free survival (RFS) in patients with HR+ breast cancer. In this study, we successfully established an endocrine resistance-related risk model based on multicenter RNA sequencing data. This model could represent tumor microenvironment characteristics and provide valuable insights into predicting the prognosis of HR+ breast cancer patients. A seven gene risk model reflecting endocrine therapy resistance in 208 early HR+ breast cancer patients from two centers was constructed by LASSO analysis and multivariate cox regression. Based on the median value of risk score, patients were divided into high-risk group and low-risk group. Compared with the low-risk group, the high-risk group exhibited a significantly worse prognosis, which showed consistent across two external validation cohorts (TCGA-BRCA and METABRIC cohort). Time dependent ROC curve showed excellent capacity of gene model in predicting 1,3 and 5-year RFS. The IC50 analysis revealed that patients in low-risk group exhibited greater sensitivity to endocrine drugs, such as tamoxifen, fulvestrant and palbociclib, which strongly suggested that the identified gene signature can effectively differentiate between endocrine-resistant and -sensitive status. Gene-set enrichment analysis revealed regulation of cell killing, positive regulation of inflammatory response and T cell mediated cytotoxicity were enriched in low risk group, suggesting immune activation and a higher immune infiltration status. Conversely, the high-risk group demonstrated associations with collagen metabolic process, extracellular matrix structural constituent and collagen fibril organization, which were the indicative of the location and function of cancer-associated fibroblasts (CAFs). As expected, ssGSEA results revealed elevated expression levels of immune cells (e.g., natural killer cells, tumor-infiltrating lymphocytes, CD8+ T cells) and immune functions (e.g., T cell co-stimulation, inflammation-promoting, cytolytic activity) in the low-risk group. However, three diverse acknowledged methods (TIDE, EPIC and MCP-counter) consistently identified CAFs as predominantly content in the high-risk groups. Furthermore, considering that CD8+ T cell is the primary cell type responsible for exerting cytotoxic effects, we observed a negative correlation between CD8+ T cells and CAFs. This suggests that CAFs may inhibit the infiltration of CD8+ T cells, thereby weakening their cytotoxic capabilities, leading to a shorter RFS in high-risk patient groups. In conclusion, a novel gene signature constructed with 7 endocrine resistance response-related genes can be used for prognostic prediction and reflecting the tumor microenvironment status in HR+ early breast cancer. The low-risk group exhibited enhanced anti-tumor immunity, resulting in a favorable prognosis. In contrast, the high-risk group displayed pronounced infiltration of CAFs, indicating their potential to impede immune cell infiltration and impact the efficacy of endocrine drugs through the formation of physical barriers and recruitment of immunosuppressive factors. Consequently, patients in the high-risk group experienced a worse prognosis. Therefore, inhibiting these genes may be a therapeutic option for overcoming endocrine therapy resistance in HR+ breast cancer patients. Citation Format: Xiyu Kang, Jiaxiang Liu, Xin Wang. An Endocrine Resistant-Related Gene Signature Revealing the Tumor Microenvironment to Predict the Prognosis of Hormone Receptor-Positive Breast Cancer Patients [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-21-05.

Abstract PO3-01-08: Interaction of Prior Chemotherapy and Addition of Ovarian Function Suppression on Menopausal Symptoms in Tamoxifen-Treated Breast Cancer Patient: A prospective, Observational study

Abstract Background: Adjuvant endocrine therapy (AET) is commonly used for hormone receptor-positive breast cancer patients. Combining ovarian function suppression (OFS) with tamoxifen improves survival outcomes, but is associated with menopausal symptom-related issues and treatment discontinuation. This study aimed to compare menopausal symptoms between tamoxifen alone and tamoxifen plus OFS over 12 months and identify related factors. Methods: This prospective study included 209 premenopausal breast cancer patients on tamoxifen. Menopausal symptoms were assessed using the Menopausal Rating Scale (MRS) at baseline, 3, 6, and 12 months. Statistical analysis involved linear regression and generalized estimating equations. Results: Of the participants, 27.8% received tamoxifen plus OFS and were younger and more likely to be unmarried. The tamoxifen plus OFS group had lower baseline MRS scores, but higher scores at 6 and 12 months compared to tamoxifen alone. MRS scores increased significantly in both groups, plateauing at 6 months with tamoxifen alone and at 12 months with tamoxifen plus OFS. Factors associated with higher MRS scores at 6 months were baseline MRS scores and addition of OFS. Impact of OFS on MRS scores varied with prior chemotherapy status, being significant in patients without prior chemotherapy. Conclusion: Adding OFS to tamoxifen in premenopausal breast cancer patients was associated with a higher burden of menopausal symptoms compared to tamoxifen alone, particularly in patients who have not undergone prior chemotherapy. Therefore, careful consideration and decision-making regarding this issue are crucial in terms of both treatment outcomes and quality of life. Table 1. Baseline characteristics, Overall and According to adjuvant endocrine therapy, tamoxifen alone versus tamoxifen plus ovarian function suppression (OFS) Table 2. Multivariable linear regression about MRS scores from the baseline to 6 months, and with interaction between addition of OFS and prior chemotherapy effect Table 3. Interaction effect of additional OFS depending on prior chemotherapy; (a) without prior chemotherapy, (b) with prior chemotherapy Citation Format: Youngwon Lee, Jong Won Lee, Sae Byul Lee, Byung Ho Son, Hee Jeong Kim, Beom Seok Ko, Jisun Kim, Il-Yong Chung, Tae-Kyung Yoo. Interaction of Prior Chemotherapy and Addition of Ovarian Function Suppression on Menopausal Symptoms in Tamoxifen-Treated Breast Cancer Patient: A prospective, Observational study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-01-08.

Abstract PO3-01-12: Clinicopathologic Factors affecting response in patients with Estrogen receptor-positive and Human Epidermal Growth Factor Receptor-negative breast cancer receiving neoadjuvant chemotherapy

Abstract Background: The evolution of Neoadjuvant chemotherapy(NAC) regimen has enabled the down-staging of locally advanced breast cancer, allowing patients to undergo breast conserving surgery. NAC is known to be effective in triple-negative breast cancer (TNBC) and HER2-positive breast cancer. However, the role of NAC in hormone receptor-positive and HER2-negative (HR+HER2-) breast cancer patients remains unclear. In this study, we aimed to explore the utility of NAC for estrogen receptor-positive and HER2-negative (ER+HER2-) breast cancer patients. Methods: Clinical data were collected from 120 patients who were diagnosed with estrogen receptor (ER)-positive and HER2-negative breast cancer and received neoadjuvant chemotherapy between July, 2017 and April, 2023 at Seoul St Mary’s Hospital (Seoul, Korea). We analyzed the factors that affect clinical response subgroups, including pathologic complete response (pCR), partial response (PR), stable disease(SD), and progressive disease (PD), following neoadjuvant chemotherapy. The median follow-up period was 17 months. &amp;lt; Results: Among 120 patients after NAC, 5.8% achieved pCR, while 67.5% had a partial response. The median age at the time of surgery was 55 years at pCR group, 49 years at PR group, 47 years at SD group, and 49 years at PD group. Although the age of patients achieving pathological complete response was higher, this differences was not statistically significant. Patients achieving pCR had a higher incidence of progesterone receptor (PR) negativity (pCR 71.4% vs PR 30.9%, p=0.011) and higher levels of Ki-67 expression than those who did not achieve pCR (71.7% vs 35.6%, p=0.003). Also, there was no significant difference in Androgen receptor (AR) and HER-2 expression between the groups. Tumor size was also significantly associated with clinical response (p=0.003). However, no differences in clinical response was observed between patients with lymph node metastasis (p=0.221). Our analysis of 107 patients who were clinically N positive before NAC showed that the Ki-67 index level was the only factor found to affect nodal pCR. In addition, in the non-pCR group, patients with a Ki-67 index of less than 20% after neoadjuvant had a significantly better disease-free survival (5yr DFS, 79.8% vs 65.9%, p=0.039) Conclusion: Our analysis revealed that patients with higher levels of Ki-67 and lower level of PR expression were more likely to achieve pCR or PR. Also, decrease in Ki-67 index was confirmed to be an important prognostic factor of ER+ HER2- breast cancer. A combination of clinical and molecular factors, such as tumor size, progesterone receptor expression, and Ki-67 expression, can be used to optimize treatment plans and improve outcomes for the patient population. Citation Format: Jin Ah Lee, Young Joo Lee, Dooreh Kim, Chang Ik Yoon, Woo-Chan Park, Soo Youn Bae. Clinicopathologic Factors affecting response in patients with Estrogen receptor-positive and Human Epidermal Growth Factor Receptor-negative breast cancer receiving neoadjuvant chemotherapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-01-12.

The Prognostic Value of Low HER2 Expression on Treatment Outcomes in Metastatic Hormone Receptor-positive Breast Cancer Patients Treated with CDK4/6 Inhibitors and Endocrine Therapy

The Prognostic Value of Low HER2 Expression on Treatment Outcomes in Metastatic Hormone Receptor-positive Breast Cancer Patients Treated with CDK4/6 Inhibitors and Endocrine Therapy

Abstract 890: Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients

Abstract In early-stage hormone receptor-positive breast cancer, genomic risk scores identify patients who stand to benefit from up-front chemotherapy but introduce financial and logistical hurdles to care. We assembled a cohort of 5,244 patients with 11,671 corresponding whole-side images of breast tumors stained with hematoxylin and eosin. We developed a multimodal machine learning model to infer risk of distal metastatic recurrence from routine clinical data. Specifically, the model interprets text from the pathologist’s report using a large language model and uses self-supervised vision transformers to interpret the corresponding whole-slide image. Tensor fusion joins the modalities to infer Genomic Health’s Oncotype DX recurrence score. Inferred recurrence score from the multimodal model correlated with measured score with a concordance correlation coefficient of 0.64 (95% C.I. 0.59 - 0.69) in the withheld test set, compared to 0.55 (95% C.I. 0.49 - 0.61) and 0.56 (95% C.I. 0.52 - 0.60) for the linguistic and visual unimodal models, respectively. The multimodal model attains an area under the precision-recall curve (AUPRC) of 0.69 (AUROC=0.88) for identifying high-risk disease in the full-information setting (when images and pathology reports with quantitative hormone receptor status and grade are available) in a withheld test set, compared to AUPRC of 0.61 and 0.66 for the linguistic and visual models, respectively. By comparison, in the same full-information setting, the clinical nomogram introduced by Orucevic et al. in 2019 achieves an AUPRC of 0.48. We suggest the operating point at which precision is 94.4% and recall is 33.3%. Digitized whole-slide images of routine breast biopsies and their associated synoptic pathology reports contain much of the information necessary to stratify patients by risk of distal metastatic recurrence, when modeled appropriately. Our model could enable hospitals to rapidly triage the need for genomic risk testing, possibly precluding one third of orders without loss of accuracy. This helps allocate scarce resources for genomic tests and valuable weeks prior to beginning therapy while maintaining the standard of precision oncology. Citation Format: Kevin M. Boehm, Antonio Marra, Jorge S. Reis-Filho, Sarat Chandarlapaty, Fresia Pareja, Sohrab P. Shah. Multimodal modeling of digitized histopathology slides improves risk stratification in hormone receptor-positive breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 890.

Abstract 5705: Discovery of a selective slow-off CDK2 inhibitor NKT3447 with distinct features of suppressing pCDK2, downregulating cyclin E, and achieving prolonged pathway inhibition

Abstract CDK2 is a cell cycle kinase that plays a critical role in controlling the G1 to S-phase transition and its abnormal activation through cyclin E1(CCNE1) amplification has been indicated as the primary oncogenic driver in advanced cancers including ovarian, endometrial, and gastric cancers. In addition, cyclin E1 overexpression has emerged as a key resistance mechanism to CDK4/6 inhibitors in hormone receptor-positive breast cancer patients. Therefore, CDK2 represents a promising novel oncology target. However, development of a potent and selective CDK2 inhibitor has been challenging due to the high homology of CDK2 with other CDKs, particularly CDK1, which is essential in normal cell cycle progression. NKT3447 is a novel, orally bioavailable small molecule CDK2 inhibitor with slow-off kinetics and is highly selective against CDK1 and other CDKs. In addition, NKT3447 exhibits a distinct mechanism of action, including suppression of the Thr160 activating phosphorylation on CDK2 and downregulation of cyclin E1. In biochemical assays, NKT3447 drives a concentration dependent disruption of the CDK2/cyclin E1 and CDK2/cyclin A2 complexes, but not the CDK1/cyclin B1 complex. Consequently, NKT3447 potently inhibits the phosphorylation of Rb (pRb) and induces G1 cell cycle arrest in CCNE1 amplified OVCAR3 cells, while showing minimal or no effect on G2/M phase distribution in all the cell lines tested, including OVCAR3 and KYSE520 (CDK1-dependent) cells. Importantly, NKT3447 has a slow-off kinetics, as demonstrated by NanoBRET target engagement assay, which leads to sustained pRb inhibition after treatment withdrawal. In addition, NKT3447 treatment reduces cyclin E1 protein levels and suppresses phospho-CDK2 (Thr160), which further represses CDK2 activity and prolongs the inhibition of CDK2 signaling. NKT3447 also demonstrates a selective anti-proliferation effect in a panel of human cancer cell lines with elevated cyclin E1 expression and/or dependency on CDK2 or cyclin E1 (DepMap). In line with cellular studies, pharmacodynamic study of NKT3447 in mouse tumor models recapitulates a significant repression of pRb, pCDK2 and cyclin E1. Furthermore, NKT3447 treatment results in a dose-dependent tumor growth inhibition or tumor regression in CCNE1 amplified OVCAR3 and MKN1 tumor models. In addition, the combination of NKT3447 with carboplatin exhibits enhanced anticancer effects in OVCAR3 and MFE-280 models. These results demonstrate that NKT3447 is a potent, selective CDK2 inhibitor with distinct properties and mechanism of action, which holds great potential to effectively treat patients with aberrant CDK2/Cyclin E activation in a variety of cancer types. NKT3447 is currently being investigated in a Phase 1 clinical trial in patients with advanced solid tumors. Citation Format: Jianlin Geng, Ke Liu, Zhiyong Yu, Wenfeng Sun, Hairong Wei, Wenjun Li, Jing Lu, Juan Deng, Liqing Geng, Zhihong Liu, Zhenhai Gao, Yan Lou. Discovery of a selective slow-off CDK2 inhibitor NKT3447 with distinct features of suppressing pCDK2, downregulating cyclin E, and achieving prolonged pathway inhibition [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5705.

Abstract 464: Chromatin associated long non-coding RNAs involved in dormancy for late recurrence of ER-positive breast cancer

Abstract Late recurrence is one of the major problems for hormone receptor-positive breast cancer patients. It is suggested that the risk of recurrence may be maintained by cancer cells that have been already disseminated in the body at surgery. They enter long-term dormancy, thus evade immune surveillance and become resistant to therapies. The detailed molecular mechanism for this process is largely unknown.Nuclear long noncoding RNAs, which are not translated to proteins, often function as epigenetic regulators and determine the phenotype of cells and individuals. We found that a cluster of long noncoding RNAs, ELEANORS, is specifically expressed in ER (estrogen receptor)-positive recurrent breast cancer cells, forms a molecular condensate (RNA cloud) in the nucleus, and activates the ESR1 gene that encodes ER. ELEANORS define a large chromatin domain, the 0.7 Mb topologically associated domain (TAD), which contains the ESR1 and three other breast-cancer-associated genes. ELEANORS also regulates the three-dimensional genome architecture. They mediate a long-range chromatin interaction of ESR1 and FOXO3 genes, which are 42.9 Mb apart, and contribute to their cooperatively activate transcription, equilibrating cell proliferation (ESR1) and apoptosis (FOXO3). Upon ELEANOR knockdown, the ELEANOR clouds are disappeared, and ESR1 gene transcription is repressed. Further, the two genes are dissociated and only the FOXO3 gene remains transcriptionally active, resulting in the induction of apoptosis.Further analysis of clinical specimens revealed that ELEANOR expression in primary tumors correlates with recurrences over 5 years after surgeries, suggesting that ELEANORs are involved in late recurrence. We also found that ELEANOR activates transcription of CD44, a breast cancer stem cell marker gene. Cancer stem cell maintenance and equilibration of proliferation and apoptosis by ELEANOR may be involved in long-term tumor dormancy in late recurrence. This study suggests the possibility of ELEANORS as a biomarker to predict late recurrence, as well as a therapeutic target for ER-positive breast cancer. (References)Abdalla, MOA. et al., Nat. Commun, 10, 3778 (2019) Tomita, S. et al., Nat. Commun, 6, 6966 (2015) Citation Format: Noriko Saitoh, Maierdan Palihati, Hiroaki Tachiwana. Chromatin associated long non-coding RNAs involved in dormancy for late recurrence of ER-positive breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 464.

Use of axillary ultrasound to guide breast cancer management in the genomic assay era.

Chemotherapy is conventionally offered to non-stage IV breast cancer patients with metastatic nodes. However, the RxPONDER trial showed that chemotherapy can be omitted in selected patients with 1-3 metastatic nodes if the 21-gene assay recurrence score is ≤25. We aimed to investigate if axillary ultrasound can identify this group of patients with limited nodal burden so that they can undergo upfront surgery followed by gene assay testing, to potentially avoid chemotherapy. T1-3, node positive, hormone receptor-positive and HER2-negative breast cancer patients ≥50 years old with axillary lymph node dissection (ALND) were reviewed from 2 centres. Patients with neoadjuvant chemotherapy and bilateral cancers were excluded. Number of ultrasound-detected abnormal axillary nodes, demographic and histological parameters were correlated with the number of metastatic nodes found on ALND. 138 patients were included, 59 (42.8%) and 79 (57.2%) patients had 1-3 and >3 metastatic nodes on ALND respectively. On logistic regression and ROC analysis, the number of ultrasound-detected abnormal nodes was significant (p <0.001) for predicting limited nodal burden (ROC AUC = 0.7135). Probabilities of <4 metastatic nodes with ultrasound cut-offs of 5, 6 and 8 abnormal nodes were 0.057, 0.026 and 0.005 respectively, with 100% specificity. A cut-off of ≤5 ultrasound-detected abnormal nodes can distinguish between patients with limited versus high nodal burden, with high specificity. Hence, incorporating the number of abnormal ultrasound-detected nodes into clinical practice may prove useful in guiding between upfront surgery and gene assay testing or neoadjuvant chemotherapy in this group of patients.

Mammalian enabled protein enhances tamoxifen sensitivity of the hormone receptor-positive breast cancer patients by suppressing the AKT signaling pathway

BackgroundMammalian enabled (MENA) protein is a member of the enabled/vasodilator stimulated phosphoprotein (Ena/VASP) protein family, which regulates cytoplasmic actin network assembly. It plays a significant role in breast cancer invasion, migration, and resistance against targeted therapy and chemotherapy. However, its role in the efficacy of endocrine therapy for the hormone receptor-positive (HR+) breast cancer patients is not known. This study investigated the role of MENA in the resistance against tamoxifen therapy in patients with HR+ breast cancer and the underlying mechanisms.MethodsMENA expression levels in the clinical HR+ breast cancer samples (n = 119) were estimated using immunohistochemistry (IHC) to determine its association with the clinicopathological features, tamoxifen resistance, and survival outcomes. Western blotting (WB) and quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) analysis was performed to estimate the MENA protein and mRNA levels in the tamoxifen-sensitive and -resistant HR+ breast cancer cell lines. Furthermore, CCK8, colony formation, and the transwell invasion and migration assays were used to analyze the effects of MENA knockdown on the biological behavior and tamoxifen sensitivity of the HR+ breast cancer cell lines. Xenograft tumor experiments were performed in the nude mice to determine the tumor growth rates and tamoxifen sensitivity of the control and MENA knockdown HR+ breast cancer cells in the presence and absence of tamoxifen treatment. Furthermore, we estimated the growth rates of organoids derived from the HR+ breast cancer patients (n = 10) with high and low MENA expression levels when treated with tamoxifen.ResultsHR+ breast cancer patients with low MENA expression demonstrated tamoxifen resistance and poorer prognosis compared to those with high MENA expression. Univariate and multivariate Cox regression analysis demonstrated that MENA expression was an independent predictor of tamoxifen resistance in patients with HR+ breast cancer. MENA knockdown HR+ breast cancer cells showed significantly reduced tamoxifen sensitivity in the in vitro experiments and the in vivo xenograft tumor mouse model compared with the corresponding controls. Furthermore, MENA knockdown increased the in vitro invasion and migration of the HR+ breast cancer cells. HR+ breast cancer organoids with low MENA expression demonstrated reduced tamoxifen sensitivity than those with higher MENA expression. Mechanistically, P-AKT levels were significantly upregulated in the MENA-knockdown HR + breast cancer cells treated with or without 4-OHT compared with the corresponding controls.ConclusionsThis study demonstrated that downregulation of MENA promoted tamoxifen resistance in the HR+ breast cancer tissues and cells by enhancing the AKT signaling pathway. Therefore, MENA is a promising prediction biomarker for determining tamoxifen sensitivity in patients with HR+ breast cancer.

Validation of the Prognostic Performance of Breast Cancer Index in Hormone Receptor-Positive Postmenopausal Breast Cancer Patients in the TEAM Trial.

Patients with early-stage hormone receptor-positive (HR+) breast cancer face a prolonged risk of recurrence even after adjuvant endocrine therapy. The Breast Cancer Index (BCI) is significantly prognostic for overall (0-10 years) and late (5-10 years) distant recurrence (DR) risk in N0 and N1 patients. Here, BCI prognostic performance was evaluated in HR+ postmenopausal women from the Tamoxifen and Exemestane Adjuvant Multinational (TEAM) trial. 3,544 patients were included in the analysis (N = 1,519 N0, N = 2,025 N+). BCI risk groups were calculated using pre-specified cutoff points. Kaplan-Meier analyses and log-rank tests were used to assess the prognostic significance of BCI risk groups based on DR. Hazard ratios (HR) and confidence intervals (CI) were calculated using Cox models with and without clinical covariates. For overall 10-year DR, BCI was significantly prognostic in Ni0 (N = 1,196) and N1 (N = 1,234) patients who did not receive prior chemotherapy (P < 0.001). In patients who were DR-free for 5 years, 10-year late DR rates for low- and high-risk groups were 5.4% and 9.3% (N0 cohort, N = 1,285) and 4.8% and 12.2% (N1 cohort, N = 1,625) with multivariate HRs of 2.25 (95% CI, 1.30-3.88; P = 0.004) and 2.67 (95% CI, 1.53-4.63; P < 0.001), respectively. Late DR performance was substantially improved using previously optimized cutoff points, identifying BCI low-risk groups with even lower 10-year late DR rates of 3.8% and 2.7% in N0 and N1 patients, respectively. The TEAM trial represents the largest prognostic validation study for BCI to date and provides a more representative assessment of late DR risk to guide individualized treatment decision-making for HR+ patients with early-stage breast cancer.

Oncology Efficacy of Gonadotropin-Releasing Hormone Agonist in Hormone Receptor-Positive Very Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy

Oncology Efficacy of Gonadotropin-Releasing Hormone Agonist in Hormone Receptor-Positive Very Young Breast Cancer Patients Treated With Neoadjuvant Chemotherapy

P4EBP1 staining predicts outcome in ER-positive endocrine-resistant metastatic breast cancer patients treated with everolimus and exemestane.

To identify patients most likely to respond to everolimus, a mammalian target of rapamycin (mTOR) inhibitor, a prospective biomarker study was conducted in hormone receptor-positive endocrine-resistant metastatic breast cancer patients treated with exemestane-everolimus therapy. Metastatic tumor biopsies were processed for immunohistochemical staining (p4EBP1, PTEN, pAKT, LKB1, and pS6K). ESR1, PIK3CA and AKT1 gene mutations were detected by NGS. The primary endpoint was the association between the p4EBP1 expression and clinical benefit rate (CBR) at 6 months of everolimus plus exemestane treatment. Of 150 patients included, 107 were evaluable for the primary endpoint. p4EBP1 staining above the median (Allred score ≥6) was associated with a higher CBR at 6 months (62% versus 40% in high-p4EBP1 versus low-p4EBP1, χ2 test, p = 0.026) and a longer progression-free survival (PFS) (median PFS of 9.2 versus 5.8 months in high-p4EBP1 versus low-p4EBP1; p = 0.02). When tested with other biomarkers, only p4EBP1 remained a significant predictive marker of PFS in multivariate analysis (hazard ratio, 0.591; p = 0.01). This study identified a subset of patients with hormone receptor-positive endocrine-resistant metastatic breast cancer and poor outcome who would derive less benefit from everolimus and exemestane. p4EBP1 may be a useful predictive biomarker in routine clinical practice. NCT02444390.

Effects of zoledronic acid and exemestane combination therapy on immune function, sex hormones, bone markers, and clinical efficacy in hormone receptor-positive breast cancer patients

Effects of zoledronic acid and exemestane combination therapy on immune function, sex hormones, bone markers, and clinical efficacy in hormone receptor-positive breast cancer patients