Non-breast Cancer Research Articles

A Comprehensive Review of TRPS1 as a Diagnostic Immunohistochemical Marker for Primary Breast Carcinoma: Latest Insights and Diagnostic Pitfalls

Background/Objectives: Immunohistochemical expression of TRPS1 (trichorhinophalangeal syndrome type 1) protein is usually used by pathologists to confirm breast origin for triple-negative breast cancers (TNBC) or metastatic carcinomas of unknown primary. However, recent studies have reported TRPS1 expression in a variety of non-breast lesions. This review aims to provide a comprehensive evaluation of TRPS1 expression across various tumor types, highlighting both its diagnostic utility and potential pitfalls that may arise in clinical practice. Methods: A thorough search of the PubMed database on TRPS1 immunoexpression in tumor pathology was conducted. While the gene itself has been known for several decades, most studies regarding its use in immunohistochemistry emerged in the late 2010s. Particular emphasis was placed on case reports and cohort studies that examined the implications of TRPS1 expression in non-breast tissues, as well as variations in the results between commercially available TRPS1 clones, which may influence the staining intensity and specificity. Results: TRPS1 demonstrated a strong diagnostic utility in identifying primary breast lesions, particularly in TNBC cases. However, its expression in a growing number of non-breast cancers, such as lung adenocarcinoma, prostate adenocarcinoma, urothelial carcinoma, ovarian high-grade serous carcinoma, and endometrial adenocarcinoma, as well as up to 96% of synovial sarcomas with SS18-SSX fusion, emphasizes the need for caution when interpreting TRPS1 positivity and suggests a multi-marker approach in order to increase the diagnostic accuracy. Conclusions: While TRPS1 remains a highly sensible immunohistochemical marker for confirming breast primary lesions, pathologists should be aware of its low specificity and incorporate complementary diagnostic methods in order to ensure accurate clinical management. Further research should focus on elucidating the molecular pathways regulating TRPS1 expression in various tumor types, which may better define its clinical utility.

Deep bone oncology Diagnostics: Computed tomography based Machine learning for detection of bone tumors from breast cancer metastasis

PurposeThe objective of this study is to develop a novel diagnostic tool using deep learning and radiomics to distinguish bone tumors on CT images as metastases from breast cancer. By providing a more accurate and reliable method for identifying metastatic bone tumors, this approach aims to significantly improve clinical decision-making and patient management in the context of breast cancer. MethodsThis study utilized CT images of bone tumors from 178 patients, including 78 cases of breast cancer bone metastases and 100 cases of non-breast cancer bone metastases. The dataset was processed using the Medical Image Segmentation via Self-distilling TransUNet (MISSU) model for automated segmentation. Radiomics features were extracted from the segmented tumor regions using the Pyradiomics library, capturing various aspects of tumor phenotype. Feature selection was conducted using LASSO regression to identify the most predictive features. The model’s performance was evaluated using ten-fold cross-validation, with metrics including accuracy, sensitivity, specificity, and the Dice similarity coefficient. ResultsThe developed radiomics model using the SVM algorithm achieved high discriminatory power, with an AUC of 0.936 on the training set and 0.953 on the test set. The model’s performance metrics demonstrated strong accuracy, sensitivity, and specificity. Specifically, the accuracy was 0.864 for the training set and 0.853 for the test set. Sensitivity values were 0.838 and 0.789 for the training and test sets, respectively, while specificity values were 0.896 and 0.933 for the training and test sets, respectively. These results indicate that the SVM model effectively distinguishes between bone metastases originating from breast cancer and other origins. Additionally, the average Dice similarity coefficient for the automated segmentation was 0.915, demonstrating a high level of agreement with manual segmentations. ConclusionThis study demonstrates the potential of combining CT-based radiomics and deep learning for the accurate detection of bone metastases from breast cancer. The high-performance metrics indicate that this approach can significantly enhance diagnostic accuracy, aiding in early detection and improving patient outcomes. Future research should focus on validating these findings on larger datasets, integrating the model into clinical workflows, and exploring its use in personalized treatment planning.

Abstract C062: Racial and ethnic disparities in risk of second primary non-breast cancer in breast cancer survivors

Abstract Purpose: Disparities in cancer outcomes are multifactorial and are attributed to differences in access to care, socioeconomic status, tumor characteristics, treatment, family history, and comorbidity burden. Studies evaluating disparities in breast cancer outcomes have mostly been restricted to Black and White patients. Additionally, whether racial and ethnic disparities affect the risk of second primary cancer in breast cancer survivors, remains under-studied. We evaluated disparities in risk of second primary non-breast cancer in a racially and ethnically diverse cohort of breast cancer survivors treated at an integrated healthcare system. Methods: This retrospective cohort study included 37,222 breast cancer patients (aged ≥18 years) diagnosed between 2008-2020 at Kaiser Permanente Southern California (KPSC). Data on tumor characteristics, cancer treatments and sociodemographic variables were extracted from KPSC’s cancer registry and electronic health records. Patients were followed electronically from breast cancer diagnosis until they developed second primary non-breast cancer, died, disenrolled from the health plan, or reached study’s end (12/31/2021), whichever occurred first. Cox proportional hazards regression was used to report the association [Hazard Ratio (95% Confidence Interval)] between race and ethnicity and second primary non-breast cancer. Results: More than half of the study cohort consisted of non-Hispanic White survivors (51.2%), followed by 20.9% Hispanic survivors, 13.9% Asian/Pacific Islander (API) survivors, 12.7% non-Hispanic Black survivors, and 1.3% survivors of other/mixed races. Overall, 55.7% and 23.9% were diagnosed with local and regional breast cancer, respectively. During a median follow-up of 5.2 years, 4.6% survivors developed second primary non-breast cancers. In the multivariable model adjusted for sociodemographic characteristics, breast tumor characteristics, and breast cancer treatments, Hispanic and API survivors were 25% and 28% less likely to develop second primary cancer compared to White survivors [adjusted HR (95%CI): 0.75 (0.65-0.86)] and 0.72 (0.61-0.86), respectively]. We did not find an increased risk in Black survivors compared to White survivors [adjusted HR (95%CI): 0.91 (0.78-1.04)]. However, factors related to higher risk of second primary non-breast cancers were older age at breast cancer diagnosis, smoking, and higher comorbidity burden. Conclusion: Interestingly, risk of second primary non-breast cancer was lower in Hispanic and API survivors compared to White survivors in this insured cohort. Next steps will include examining which lifestyle factors (e.g. less smoking), or if pharmacological management of modifiable comorbidities might have played a role in the decreased risks seen in these two racial and ethnic groups. Citation Format: Amrita Mukherjee, Zheng Gu, Lie H. Chen, Reina Haque. Racial and ethnic disparities in risk of second primary non-breast cancer in breast cancer survivors [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C062.

Estradiol and testosterone associated with risk of breast cancer: a meta-analysis

Background: To investigate the correlation between estradiol and testosterone in patients with breast cancer. Methods: The literatures on the correlation between estradiol and testosterone on the risk of breast cancer were searched and collected. The time limit is that each database is established until December 2023. After screening, the modified Jadad scale was used to evaluate the quality of the research literature. NoteExpress 3.2 was used for literature management, and Excel 2003 was used for data collection and extraction. Statistical analysis was performed using RevMan 5.4.1 software to determine whether there was heterogeneity in the study according to the size of Q test (P-value), and then the OR value of combined effects was calculated using fixed or random effects models and forest maps were drawn. At the same time, the literatures with the greatest weight were excluded for sensitivity analysis, and the literature bias was evaluated by drawing funnel plot. Results: A total of 628 literatures were retrieved, and 11 case-control trials met the criteria for inclusion. Meta-analysis results showed that the level of E2 in breast cancer patients was higher than that in non-breast cancer control group, but the difference was not statistically significant (OR=121.56, 95%CI (-3.32-264.44), P=0.06). The level of E2 in premenopausal patients with breast cancer was higher than that in non-breast cancer control group, but the difference was not statistically significant (OR=8.26, 95%CI (-2.83-19.34), P=0.14). The level of E2 in postmenopausal patients with breast cancer was higher than that in non-breast cancer control group, and the difference was statistically significant (OR=20.36, 95%CI (7.04-33.68), P=0.003). Preoperative T level was higher in patients with breast cancer than in non-breast cancer control group, but the difference was not statistically significant (OR=14.77, 95%CI (-14.11-43.65), P=0.32). The T level before and after surgery in breast cancer patients was higher than that in non-breast cancer control group, and the difference was statistically significant (OR=12.91, 95%CI (4.43-21.39), P=0.003). Sensitivity analysis showed that the combined effect size results were stable and reliable OR (95%CI) was 24.41 (10.21~38.61), P=0.0007. Funnel plot results showed publication bias. Conclusion There is a positive correlation between the levels of estradiol and testosterone and the occurrence and development of breast cancer after menopause.

Anti-Cancer Properties of Two Intravenously Administrable Curcumin Formulations as Evaluated in the 3D Patient-Derived Cancer Spheroid Model.

Curcumin (Cur) is a heavily used complementary derived drug from cancer patients. Spheroid samples derived from 82 patients were prepared and treated after 48 h with two Cur formulations (CurA, CurB) in mono- and combination therapy. After 72 h, cell viability and morphology were assessed. The Cur formulations had significant inhibitory effects of -8.47% (p < 0.001), CurA of -10.01% (-50.14-23.11%, p = 0.001) and CurB of -6.30% (-33.50-19.30%, p = 0.006), compared to their solvent controls Polyethylene-glycol, β-Cyclodextrin (CurA) and Kolliphor-ELP, Citrate (CurB). Cur formulations were more effective in prostate cancer (-19.54%) and less effective in gynecological non-breast cancers (0.30%). CurA showed better responses in samples of patients <40 (-13.81%) and >70 years of age (-17.74%). CurB had stronger effects in metastasized and heavily pretreated tumors. Combinations of Cur formulations and standard therapies were superior in 20/47 samples (42.55%) and inferior in 7/47 (14.89%). CurB stimulated chemo-doublets more strongly than monotherapies (-0.53% vs. -6.51%, p = 0.022) and more effectively than CurA (-6.51% vs. 3.33%, p = 0.005). Combinations of Cur formulations with Artesunate, Resveratrol and vitamin C were superior in 35/70 (50.00%) and inferior in 16/70 (22.86%) of samples. Cur formulations were significantly enhanced by combination with Artesunate (p = 0.020). Cur formulations showed a high variance in their anti-cancer effects, suggesting a need for individual testing before administration.

Durable responses to trastuzumab deruxtecan in patients with leptomeningeal metastases from breast cancer with variable HER2 expression.

Emerging data suggest that trastuzumab deruxtecan (T-DXd) is an active treatment for brain metastases from HER2 + breast cancer. We aimed to characterize the activity of T-DXd in the treatment of leptomeningeal metastases (LM) from a range of HER2-altered cancers. We reviewed neuro-oncology clinic records between July 2020 and December 2023 to identify patients who received T-DXd to treat LM. Of 18 patients identified, 6 had HER2 + breast cancer, 8 had HER2-low/negative breast cancer, 2 had HER2 + gastroesophageal cancer, and 2 had HER2-mutant non-small cell lung cancer (NSCLC). 10/18 (56%) patients had cytologically confirmed LM by CSF cytology or circulating tumor cell (CTC) capture. A partial response (PR) on MRI using the EORTC/RANO-LM Revised-Scorecard occurred in 4/6 (67%) patients with HER2 + breast LM, 2/8 (25%) patients with HER2-low/negative breast cancer, and 0/4 (0%) patients with HER2 + gastroesophageal cancer or HER2-mutant NSCLC. Median overall survival after initiating T-DXd was 5.8 months. Survival after initiating T-DXd was numerically longer for HER2 + breast cancer patients compared with HER2-low/negative breast and HER2-altered non-breast cancer patients (13.9 months vs. 5.2 months and 4.6 months, respectively). Landmark analysis showed that patients with radiologic LM response to T-DXd by 2.5 months had longer survival than non-responders (14.2 months vs. 2.6 months, HR 0.18, 95% CI 0.05-0.63, p < 0.05), and landmark analyses at 3.5 and 4.5 months after starting T-DXd showed a similar but nonsignificant trend. T-DXd induces LM responses in a subset of patients, and such responses may be associated with prolongation of survival. Prospective trials are needed to clarify the role of T-DXd in treating LM and which patients are most likely to benefit.

Impact of quantitative CT texture analysis on the outcome of CT-guided bone biopsy

Texture analysis can provide new imaging-based biomarkers. Texture analysis derived from computed tomography (CT) might be able to better characterize patients undergoing CT-guided percutaneous bone biopsy. The present study evaluated this and correlated texture features with bioptic outcome in patients undergoing CT-guided bone biopsy. Overall, 123 patients (89 female patients, 72.4 %) were included into the present study. All patients underwent CT-guided percutaneous bone biopsy with an 11 Gauge coaxial needle. Clinical parameters and quantitative imaging features were investigated. Random forest classifier was used to predict a positive biopsy result. Overall, 69 patients had osteolytic metastasis (56.1 %) and 54 had osteoblastic metastasis (43.9 %). The overall positive biopsy rate was 72 %. The developed radiomics model demonstrated a prediction accuracy of a positive biopsy result with an AUC of 0.75 [95 %CI 0.65 – 0.85]. In a subgroup of breast cancer patients, the model achieved an AUC of 0.85 [95 %CI 0.73 – 0.96]. In the subgroup of non-breast cancer patients, the signature achieved an AUC of 0.80 [95 %CI 0.60 – 0.99]. Quantitative CT imaging findings comprised of conventional and texture features can aid to predict the bioptic result of CT-guided bone biopsies. The developed radiomics signature aids in clinical decision-making, and could identify patients at risk for a negative biopsy.

Clinical implications of non-breast cancer related findings on FDG-PET/CT scan prior to neoadjuvant chemotherapy in patients with breast cancer

PurposeBreast cancer (BC) patients undergoing FDG-PET/CT scans for neoadjuvant chemotherapy (NAC) may have additional non-BC related findings. The aim of this study is to describe the clinical implications of these findings.MethodsWe included BC patients who underwent an FDG-PET/CT scan in our institute between 2011–2020 prior to NAC. We focused on patients with an additional non-BC related finding (i.e. BC metastases were excluded) for which diagnostic work-up was performed. Information about the diagnostic work-up and the clinical consequences was retrospectively gathered. A revision of all FDG-PET/CT scans was conducted by an independent physician to assess the suspicion level of the additional findings.ResultsOf the 1337 patients who underwent FDG-PET/CT, 202 patients (15%) had an non-BC related additional finding for which diagnostic work-up was conducted, resulting in 318 examinations during the first year. The non-BC related findings were mostly detected in the endocrine region (26%), gastro-intestinal region (16%), or the lungs (15%). Seventeen patients (17/202: 8%, 17/1337: 1.3%) had a second primary malignancy. Only 8 patients (8/202: 4%, 8/1337: 0.6%) had a finding that was considered more prognosis-determining than their BC disease. When revising all FDG-PET/CT scans, 57 (202/57: 28%) of the patients had an additional finding categorized as low suspicious, suggesting no indication for diagnostic work-up.ConclusionFDG-PET/CT scans used for dissemination imaging in BC patients detect a high number of non-BC related additional findings, often clinically irrelevant and causing a large amount of unnecessary work-up. However, in 8% of the patients undergoing diagnostic work-up for an additional finding, a second primary malignancy was detected, warranting diagnostic attention in selected patients.

Second primary non-breast cancers in young breast cancer survivors

Second primary non-breast cancers in young breast cancer survivors

The genomic landscape of breast and non-breast cancers from individuals with germline CHEK2 deficiency.

CHEK2 is considered to be involved in homologous recombination repair (HRR). Individuals who have germline pathogenic variants (gPVs) in CHEK2 are at increased risk to develop breast cancer and likely other primary cancers. PARP inhibitors (PARPi) have been shown to be effective in the treatment of cancers that present with HRR deficiency-for example, caused by inactivation of BRCA1/2. However, clinical trials have shown little to no efficacy of PARPi in patients with CHEK2 gPVs. Here, we show that both breast and non-breast cancers from individuals who have biallelic gPVs in CHEK2 (germline CHEK2 deficiency) do not present with molecular profiles that fit with HRR deficiency. This finding provides a likely explanation why PARPi therapy is not successful in the treatment of CHEK2-deficient cancers.

Breast cancer polygenic risk score and patient survival outcomes in the Pathways study.

10502 Background: Many common, low-penetrance variants have been identified for breast cancer risk through genome-wide association studies, leading to the development of polygenic scores (PGS) to aggregate the effects of individual variants for risk prediction. Much less is known about genetic determinants of breast cancer-related outcomes. We hypothesized that breast cancer patients with high breast cancer PGS are at risk of a second breast-related adverse event, such as recurrence, contralateral breast cancer, or death. Methods: The Pathways Study is a prospective cohort study of breast cancer survivors enrolled shortly after diagnosis in 2006-2013 at Kaiser Permanente Northern California, with ongoing follow-up. Genome-wide genotype data were available from 3,995 patients for calculation of 4 PGS, including PGS313, PGS4k, PGS5k, and PGS6m. Scores were categorized into tertiles to investigate their associations with 7 survival outcomes including recurrence, contralateral second primary breast cancer, other second primary cancer, and death. Hazard ratios (HR) and 95% confidence intervals (CI) were derived from multivariable Cox proportional hazards regression models. Results: The median age at diagnosis was 60 (23.6-94.8) years, and most (68%) self-identified as White. Many women had estrogen receptor (ER)+ (83.4%), stage I and II tumors (89%), with 13.3% HER2+ tumors. The majority (60%) received lumpectomy and some type of adjuvant therapy (44.3% radiotherapy, 47.0% chemotherapy, and 74.6% received hormonal therapy). By December 31, 2021, the median follow-up time was 10.5 (0.2-14.2) years, with 504 recurrences, 419 total second primary cancers, 146 contralateral second primary breast cancers, 237 non-breast second primary cancers, and 762 deaths (352 breast cancer-specific deaths) observed. In Table 1, patients with medium (T2) and high (T3) PGS313 had higher risk of recurrence, but not contralateral breast cancer or other second primary cancer. They also had higher risk of all-cause death, breast cancer-specific death, total breast cancer event, and invasive disease. The other 3 PGS were not associated with survival outcomes examined. Conclusions: Our study reveals that breast cancer patients with higher PGS313 had higher risk of recurrence, total breast cancer and invasive breast cancer events, and death. These findings highlight a potential role of breast cancer PGS for prognosis, warranting further exploration. [Table: see text]

Outcomes in Nonmetastatic Hormone Receptor-Positive HER2-Negative Pure Mucinous Breast Cancer: A Multicenter Cohort Study.

Although considered a favorable subtype, pure mucinous breast cancer (PMBC) can recur, and evidence for adjuvant therapy is limited. We aimed to compare outcomes of nonmetastatic PMBC with invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) to address these uncertainties. Individual patient-level data from 6 centers on stage I-III hormone receptor-positive and HER2-negative PMBC, IDC, and ILC were used to analyze recurrence-free interval (RFI), recurrence-free survival (RFS), and overall survival (OS), and to identify prognostic factors for PMBC. Data from 20,684 IDC cases, 1,475 ILC cases, and 943 PMBC cases were used. Median follow-up was 6.6 years. Five-year RFI, RFS, and OS for PMBC were 96.1%, 94.9%, and 98.1%, respectively. On multivariable Cox regression, PMBC demonstrated superior RFI (hazard ratio [HR], 0.59; 95% CI, 0.43-0.80), RFS (HR, 0.70; 95% CI, 0.56-0.89), and OS (HR, 0.71; 95% CI, 0.53-0.96) compared with IDC. ILC showed comparable outcomes to IDC. Fewer than half (48.7%) of recurrences in PMBC were distant, which was a lower rate than for IDC (67.3%) and ILC (80.6%). In contrast to RFI, RFS events were driven more by non-breast cancer deaths in older patients. Significant prognostic factors for RFI among PMBC included positive lymph node(s) (HR, 2.42; 95% CI, 1.08-5.40), radiotherapy (HR, 0.44; 95% CI, 0.23-0.85), and endocrine therapy (HR, 0.25; 95% CI, 0.09-0.70). No differential chemotherapy associations with outcomes were detected across PMBC subgroups by nodal stage, tumor size, and age. A separate SEER database analysis also did not find any association of improved survival with adjuvant chemotherapy in these subgroups. Compared with IDC, PMBC demonstrated superior RFI, RFS, and OS. Lymph node negativity, adjuvant radiotherapy, and endocrine therapy were associated with superior RFI. Adjuvant chemotherapy was not associated with better outcomes.

Let's talk about sex! Why should healthcare professionals address sexual distress in breast cancer patients and survivors?

PurposeSexual distress impacts the quality of life (QoL) of breast cancer patients but is often overlooked in standard care pathways. This study evaluated the prevalence and factors of sexual distress among Dutch breast cancer patients, compared them to the general population, and explored how sexual distress is discussed in clinical settings from the perspectives of patients and healthcare professionals (HCPs). MethodsQuestionnaires containing the Female Sexual Distress Scale (FSDS) and demographic variables were distributed to women with breast cancer. The effect of breast cancer on sexual distress was assessed with a Mann-Whitney U test. Multivariable linear regression was used to analyze variables associated with FSDS. The Sexuality Attitudes and Beliefs Survey (SABS) was sent to HCPs. ResultsBreast cancer patients reported significantly higher sexual distress compared to a Dutch non-breast cancer cohort, respectively 16.38 (SD 11.81) and 23.35 (SD 11.39). Factors associated with higher sexual distress were psychological comorbidities, the body image scale, and being diagnosed >10 years ago. Sexual distress was not discussed as often as patients needed. Barriers to addressing sexual distress were time constraints, HCPs’ confidence in their ability to address sexual distress, and uncertainty about who is responsible for initiation. ConclusionsBreast cancer patients showed significantly higher sexual distress compared to the Dutch population. However, it was not frequently addressed in the consultation room. While some barriers have been identified, this study highlights the importance of further exploring obstacles to integrating discussions about sexual distress into routine care to improve QoL of breast cancer patients.

Abstract PO3-11-10: Second primary non-breast cancers in young breast cancer survivors

Abstract Adolescent and young adults (AYAs) (15-39 years) have a heightened risk of developing a second primary malignancy due to extended periods of survivorship, higher incidence of germline cancer predisposing variants, and increased susceptibility to treatment-induced malignancies. Research on survivors of specific AYA cancer types, including breast cancer (BC) survivors, is limited. Among BC survivors, while much survivorship research focuses on risk of locoregional recurrence or contralateral BC, little is known about overall risk, and risk factors, of developing second non-breast primaries. This prospective cohort study examined women diagnosed with BC from 2006-2016 at age ≤40 years enrolled in the Young Women’s BC Study (YWS) (N=1297). Women were excluded from the analytic cohort if initially diagnosed with Stage IV breast cancer (N=64). To enable investigation of how BC treatments may impact second primary risk, women were also excluded if they reported another cancer before primary BC diagnosis (N=3). Patient characteristics, treatment information, and clinical events were collected via serial surveys. Tumor characteristics and detailed treatment data were obtained from medical record review. Five- and 10-year risk of second non-breast primary was estimated via the cumulative incidence function after applying the Fine-Gray competing risks model with time starting at primary BC diagnosis. Death, metastasis, or diagnosis with a second primary BC were considered as competing events. Univariate and multivariate Fine-Gray sub-distribution models were used to estimate sub-distribution hazard ratios (sHRs) and 95% confidence intervals (CI) for second non-breast primary cancer risk. Risk factors considered included age, race, body mass index, smoking, alcohol use, income, family history of cancer, germline pathogenic variant (PV) carrier status, tumor stage, grade, and ER status, primary surgery type, and receipt of radiation, chemotherapy, or endocrine therapy (yes/no). Multivariate models tested individual associations with additional adjustment for radiation therapy and PV carrier status, as both are consistently associated with second primary in the literature. Over a median follow-up of 10.1 years (inter-quartile range (IQR) =7.9-12.1 y), 47 patients (4%) developed a second non-breast primary cancer. Median age at second non-breast primary was 43 years (IQR=39-46), and median time between primary BC and second non-breast primary was 7.3 years (IQR=4.1-9.3). Second primary types included melanoma (n=10), thyroid (n=10), ovarian (n=4), sarcoma (n=4), uterine (n=3), rectal (n=3), bladder (n=2), cervical (n=2), head and neck (n=2), lung (n=2), lymphoma (n=2), pancreatic (n=2), and kidney (n=1). During the study, 22 patients (2%) developed a second primary BC, 167 (19%) developed metastasis, and 15 (1%) died from causes other than BC. Among the patients who developed a second primary BC, two later developed another non-breast cancer (ovarian and brain cancer). When incorporating competing risks, five and 10-year cumulative incidence of second non-breast primary was 1.4% and 3.2%, respectively. No patient or treatment factors were statistically significantly associated with second non-breast primary in univariate or multivariate models, including radiation and PV carrier status. In this population of young BC survivors, 10-year cumulative incidence of second non-breast primary cancer was 3.2%, with the most common second cancers being melanoma and thyroid cancer. Incidence rates of all second primary cancer types in this cohort were higher than population-based incidence rates for healthy women under 50 years of age, highlighting the importance of long-term surveillance for other cancer events in this young population. While risk of second non-breast primary was not associated with primary BC treatment in this study, cases were limited, and the follow-up interval was relatively short. Citation Format: Bessie Zhang, Kristen Brantley, Shoshana Rosenberg, Gregory Kirkner, Laura Collins, Kathryn Ruddy, Rulla Tamimi, Lidia Schapira, Virginia Borges, Ellen Warner, Steven Come, Eric Winer, Ann Partridge. Second primary non-breast cancers in young breast cancer survivors [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 PO3-11-10.

Abstract PO5-27-09: Pharmacological eIF4E inhibition suppresses anti-tumor activity in ER+ breast cancer

Abstract Elevated levels of eukaryotic initiation factor 4E (eIF4E) are found in a broad range of cancers, including breast, and have been associated with aggressive, drug resistant tumors. Furthermore, elevated eIF4E activity is sufficient to cause transformation in various cancers, while inhibition suppresses tumor growth. eIF4E, the main regulator and rate limiting factor of protein synthesis, is the downstream integrator of several important oncogenic signaling pathways (PI3K/AKT/mTOR, Ras/Raf/MEK, and Myc). Activation of eIF4E results in increased protein levels of key proliferation and metabolism proteins such as Cyclin D1 (CCND1) and Ornithine Decarboxylase 1 (ODC1), as well as an overall increase in cellular synthesis machinery, causing cellular growth and proliferation. Here, we describe the development and characterization of novel, potent, and selective eIF4E inhibitors. Compounds from this chemical series have nanomolar activity in multiple biochemical and biophysical m7G cap-competition assays as well as potent inhibition of translation in cellular and biochemical assays. In cells, these compounds rapidly and reversibly decrease protein levels of several oncogenes, including CCND1, leading to a G1 cell cycle arrest. We demonstrate that eIF4E inhibitors cause growth inhibition in a variety of breast cancer cell lines, including ER+ breast cancer. These inhibitors also inhibit growth of breast cancer lines with acquired resistance to Palbociclib with the same potency as the parental cell lines. Additionally, eIF4E inhibition shows an increased sensitivity in resistant cell lines when combined with standard of care (SOC), including Palbociclib. Select analogs from the series demonstrate favorable ADMET/PK properties with good oral bioavailability and low safety risk. Lastly, these compounds have demonstrated near complete tumor growth inhibition in non-breast cancer in vivo models. Ongoing experiments will address in vivo efficacy in ER+ breast cancer in both monotherapy and in combination with SOC. Citation Format: Matthew Friedersdorf, Devon Blake, Sarah Thompson, Krista Marran, Jessica Sorrentino. Pharmacological eIF4E inhibition suppresses anti-tumor activity in ER+ breast cancer [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 PO5-27-09.

Abstract PO1-03-03: STEEP criteria v2.0 validation: A multi-trial analysis using GEICAM and TRIO adjuvant trials to evaluate surrogate endpoints for overall survival

Abstract Background: Standardized definitions of efficacy endpoints are needed to improve clinical trial designs, data reporting and interpretation of results, and to allow cross-trial comparisons. STEEP (Standardized Definitions for Efficacy Endpoints) criteria were proposed in 2007 by an expert panel from the National Cancer Institute (NCI) to provide common definitions for clinical trials in early breast cancer (BC). Invasive disease-free survival (IDFS) was selected as a candidate surrogate endpoint for overall survival (OS) in adjuvant trials and has been widely used in the last 15 years. Advances in BC systemic treatment led to review these criteria (STEEP v2.0), with the definition of a new modified endpoint: invasive BC-free survival (IBCFS). IBCFS excludes second primary non-breast invasive cancers from IDFS which may better detect efficacy effects when the toxicity profile of the intervention is well-known and the risk of second primary cancer is small. Methods: We proposed a multi-trial analysis of 8 adjuvant chemotherapy (CT) trials from GEICAM and TRIO to evaluate the different surrogate endpoints defined in the STEEP v2.0. Trial-level surrogacy was assessed through correlation between the ln hazard ratio (HR) of OS and the ln HR of the different studied endpoints across trials. The correlation was estimated by the weighted, by trial size, least squares regression (WLS) line and evaluated comparing the R2 values between OS and the corresponding endpoint tested. Primary analyses evaluated the correlation of OS with IDFS/IBCFS. Secondary analyses evaluated the correlation of OS with other STEEP v2.0 endpoints (distant disease-free survival [DDFS], distant relapse-free survival [DRFS], recurrence-free survival [RFS], recurrence-free interval [RFI] and distant recurrence-free interval [DRFI]) and explored the surrogacy between OS and all endpoints in specific groups of patients (pts) according to their risk of relapse: hormone receptors positive (HR+)/HER2-negative (HER2-) pts with intermediate/high and high-risk and triple negative (TN) pts. Results: A total of 14,473 pts were included. Median age was 50 years (range, 20–82). All were female, and 51.8% were postmenopausal. With a median follow-up of 115 months (range, 0.0–188) we found 2,504 OS events, 4,146 IDFS events (60.9% being distant recurrences) and 3,810 IBCFS events (62.4% being distant recurrences). For each trial, HR of OS, IDFS and IBCFS indicated same conclusions. If HR&amp;lt; 1 for OS, it was also for IDFS and IBCFS and the same was true when HR &amp;gt;1. R2 results of the weighted linear correlations between the ln HR of OS versus (vs) IDFS and OS vs IBCFS were 0.86 and 0.89, respectively. Confidence intervals (CI) at 95% were both overlapping. All other efficacy endpoints showed strong correlation with OS in the overall analysis. R2 values for HR+/HER2- intermediate/high and high-risk pts were 0.89 (OS vs IDFS) and 0.84 (OS vs IBCFS). For TN pts the correlations were weaker, being 0.63 (OS vs IDFS) and 0.73 (OS vs IBCFS). All WLS R2 values are described in the table. Conclusions: All tested STEEP v2.0 endpoints were strongly correlated with OS (R2 close to 1), meaning that their use as surrogate endpoints for adjuvant CT trials is appropriate. Notably, no differences were found between them in this multi-trial analysis. Therefore, none of them is more appropriate than other to discriminate the value of a new intervention vs comparator in adjuvant CT studies with mature data and long-term follow-up. Table: Citation Format: Sara López-Tarruella, Marina Pollan, Ander Urriticoechea, Eva Carrasco, Gonzalo Spera, Miguel Martín, Begoña Bermejo, Linnea Chap, Manuel Ruíz - Borrego, John Crown, Jose Angel García-Sáenz, Arlene Chan, Angel Guerrero, Valerie Bee, Lourdes Calvo, Rodrigo Fresco, Andrea Blasco, Andrés Hernando, Dennis Slamon. STEEP criteria v2.0 validation: A multi-trial analysis using GEICAM and TRIO adjuvant trials to evaluate surrogate endpoints for overall survival [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 PO1-03-03.

Human epidermal growth factor receptor-2 expression and subsequent dynamic changes in patients with ovarian cancer

Human epidermal growth factor receptor-2 (HER2)-targeting drugs are increasingly being incorporated into therapeutic paradigms for non-breast cancers, yet studies on HER2 expression in ovarian cancer (OC) are inadequate. Here, we studied the HER2 status and dynamic changes in OC by reviewing the records of patients who underwent HER2 testing at a single institution. Clinical parameters, including histology, BRCA status, and immunohistochemistry (IHC), were evaluated alongside HER2 expression, timing, and anatomical location. Among 200 patients, 28% and 6% exhibited expression scores of 2+ and 3+, respectively. HER2 3+ scores were observed in 23%, 11%, 9%, and 5% of mucinous, endometrioid, clear cell, and high-grade serous tumors, respectively, and were exclusively identified in BRCA-wildtype, mismatch repair-proficient, or PD-L1-low-expressing tumors. The TP53 mutation rate was low, whereas ARID1A, KRAS, and PIK3CA mutations were relatively more prevalent with HER2 scores of 2+ or 3+ than with 0 or 1+. Four of the five tumors with an HER2 3+ score exhibited ERBB2 amplification. Among 19 patients who underwent multiple time-lagged biopsies, 11 showed increased HER2 expression in subsequent biopsies. Patients with HER2-overexpressing OC exhibited distinct histological, IHC, and genomic profiles. HER2-targeting agents are potential options for BRCA-wildtype patients, particularly as later lines of treatment.

Do breast cancer patients have increased risk of complications after primary total hip and total knee arthroplasty?

Breast cancer survivors have known risk factors that might influence the results of total hip arthroplasty (THA) or total knee arthroplasty (TKA). This study evaluated clinical outcomes of patients with breast cancer history after primary THA and TKA. Our total joint registry identified patients with breast cancer history undergoing primary THA (n = 423) and TKA (n = 540). Patients were matched 1:1 based upon age, sex, BMI, procedure (hip or knee), and surgical year to non-breast cancer controls. Mortality, implant survival, and complications were assessed via Kaplan-Meier methods. Clinical outcomes were evaluated via Harris Hip Scores (HHSs) or Knee Society Scores (KSSs). Mean follow-up was six years (2 to 15). Breast cancer patient survival at five years was 92% (95% confidence interval (CI) 89% to 95%) after THA and 94% (95% CI 92% to 97%) after TKA. Breast and non-breast cancer patients had similar five-year implant survival free of any reoperation or revision after THA (p ≥ 0.412) and TKA (p ≥ 0.271). Breast cancer patients demonstrated significantly lower survival free of any complications after THA (91% vs 96%, respectively; hazard ratio = 2 (95% CI 1.1 to 3.4); p = 0.017). Specifically, the rate of intraoperative fracture was 2.4% vs 1.4%, and venous thromboembolism (VTE) was 1.4% and 0.5% for breast cancer and controls, respectively, after THA. No significant difference was noted in any complications after TKA (p ≥ 0.323). Both breast and non-breast cancer patients experienced similar improvements in HHSs (p = 0.514) and KSSs (p = 0.132). Breast cancer survivors did not have a significantly increased risk of mortality or reoperation after primary THA and TKA. However, there was a two-fold increased risk of complications after THA, including intraoperative fracture and VTE.

Abstract 6406: Clinical and translational results of the academic ARIANES Phase 2 basket study: Longitudinal single-cell analysis of patient tumors identifies biological correlates of response to PARP inhibitors and anti-PD-L1 therapy

Abstract Background: Poly (ADP-ribose) polymerase inhibitors (PARPi) have immunomodulatory properties that may potentiate anti-PD-L1 therapy. To explore this, we developed the academic ARIANES phase 2 basket trial, which evaluated the PARPi rucaparib (R) and the anti-PD-L1 atezolizumab (A) in selected patients (pts). We performed single-cell RNA + T cell receptor sequencing (scRNA+TCR-seq) on 3 sequential tumor biopsies in a pts subset. Methods: ARIANES comprised 4 molecularly-selected DNA damage response deficient (DDRd), 3 platinum-sensitive, and 2 unselected cohorts of pts with non-small cell lung (NSCLC), prostate (CRPC), and other non-breast non-ovarian cancers. R was administered for 3 weeks, followed by R+A. Primary endpoint was overall response rate (ORR) at 12 weeks per cohort. scRNA+TCR-seq was performed on fresh biopsies collected at baseline, on R, and on R + A in the same lesion, with concomitant plasma collection. We tracked the evolution over time of tumor and microenvironment cells, differentially expressed genes and signatures within each cell population, and TCR clonal dynamics. Results: ARIANES enrolled 130 pts, including 27 DDRd CRPC and 3 DDRd NSCLC pts, on which we focus here. Best ORR by RECIST v1.1 was 22% (6/27) in CRPC pts, and mPFS: 7.9 months (95% CI 4 - 11.1) at data cut-off. ORR was 0% in NSCLC pts. We successfully profiled 3 sequential fresh biopsies in 2 BRCA2-mutant CRPC, 1 ATM-mutant, and 1 RAD54L-mutant NSCLC pts. Tumor, T and B lymphoid, myeloid, plasma, dendritic, NK, endothelial, and stromal cells were identified in all samples. Differential expression testing unveiled PARP1 upregulation in tumor cells on R. One CRPC pt with prolonged partial response displayed activation of innate immune sensing pathways (including cGAS-STING and IFN signaling) in tumor and immune cells, as well as JAK/STAT and CCL5, all increasing gradually on R and R + A; scTCR-seq revealed the expansion of specific T cell clonotypes on R + A. One ATM-mutant NSCLC pt with 6-month stable disease displayed increased cGAS/STING, JAK/STAT and CCL5 activation on R in NK cells only, and no TCR expansion. None of the above was observed in the 2 pts who progressed. Complete clinical and translational study results will be presented at the congress. Conclusion: Sequential scRNA+TCR-seq enables the dynamic assessment of tumor and immune cells on therapy. Our data confirms the potential of R to activate innate immune pathways in pt tumors, and R + A to induce T cell activation and clonal expansion. To our knowledge, this is the first study providing a longitudinal single-cell resolution analysis of the clonal evolution of tumor and immune cells in pts on PARPi + anti-PD-L1. We identify potential biological correlates of therapy response, including the activation of innate immune pathways and TCR expansion. Citation Format: Julien Vibert, Clémence Hénon, Lambros Tselikas, Baptiste Bonnet, Arnaud Pagès, Alice Bernard-Tessier, Léo Colmet-Daage, Roman Chabanon, Nicolas Dorvault, Clémence Astier, Anas Gazzah, Aurore Jeanson, Aurélien Parpaleix, Ronan Flippot, Natacha Naoun, Anna Patrikidou, Pernelle Lavaud, Giulia Baciarello, Emeline Colomba, Alina Fuerea, Laurence Albiges, Christophe Massard, Santiago Ponce, Yohann Loriot, Stéphane Champiat, Capucine Baldini, Fanny Bouquet, Nathalie Droin, Karim Fizazi, Damien Vasseur, Patricia Martin-Romano, Etienne Rouleau, Kaïssa Ouali, Sophie Postel-Vinay. Clinical and translational results of the academic ARIANES Phase 2 basket study: Longitudinal single-cell analysis of patient tumors identifies biological correlates of response to PARP inhibitors and anti-PD-L1 therapy [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 6406.

Identification and verification of AK4 as a protective immune-related biomarker in adipose-derived stem cells and breast cancer

BackgroundBreast cancer (BC) remains the most common cancer among women, and novel post-surgical reconstruction techniques, including autologous fat transplantation, have emerged. While Adipose-derived stem cells (ADSCs) are known to impact the viability of fat grafts, their influence on breast cancer progression remains unclear. This study aims to elucidate the genetic interplay between ADSCs and breast cancer, focusing on potential therapeutic targets. MethodsUsing the GEO and TCGA databases, we pinpointed differentially expressed (DE) mRNAs, miRNAs, lncRNAs, and pseudogenes of ADSCs and BC. We performed functional enrichment analysis and constructed protein-protein interaction (PPI), RNA binding protein (RBP)-pseudogene-mRNA, and lncRNA-miRNA-transcription factor (TF)-gene networks. Our study delved into the correlation of AK4 expression with 33 different malignancies and examined its impact on prognostic outcomes across a pan-cancer cohort. Additionally, we scrutinized immune infiltration, microsatellite instability, and tumor mutational burden, and conducted single-cell analysis to further understand the implications of AK4 expression. We identified novel sample subtypes based on hub genes using the ConsensusClusterPlus package and examined their association with immune infiltration. The random forest algorithm was used to screen DE mRNAs between subtypes to validate the powerful prognostic prediction ability of the artificial neural network. ResultsOur analysis identified 395 DE mRNAs, 3 DE miRNAs, 84 DE lncRNAs, and 26 DE pseudogenes associated with ADSCs and BC. Of these, 173 mRNAs were commonly regulated in both ADSCs and breast cancer, and 222 exhibited differential regulation. The PPI, RBP-pseudogene-mRNA, and lncRNA-miRNA-TF-gene networks suggested AK4 as a key regulator. Our findings support AK4 as a promising immune-related therapeutic target for a wide range of malignancies. We identified 14 characteristic genes based on the AK4-related cluster using the random forest algorithm. Our artificial neural network yielded excellent diagnostic performance in the testing cohort with AUC values of 0.994, 0.973, and 0.995, indicating its ability to distinguish between breast cancer and non-breast cancer cases. ConclusionsOur research sheds light on the dual role of ADSCs in BC at the genetic level and identifies AK4 as a key protective mRNA in breast cancer. We found that AK4 significantly predicts cancer prognosis and immunotherapy, indicating its potential as a therapeutic target.