High-risk Breast Cancer Patients Research Articles

Somatic and germline aberrations in homologous recombination repair genes among Chinese high-risk breast cancer patients by multi-gene next-generation sequencing.

Recently, genes involved in homologous recombination repair (HRR) pathway have been extensively studied. However, the landscapes of HRR gene mutations remain poorly defined in Chinese high-risk breast cancer (BC) patients. Our study aims to identify the status of germline and somatic HRR gene mutations and their association with clinicopathological features in these patients. A total of 100 high-risk BC patients from our institution who underwent paired peripheral blood germline and BC tissues somatic 26 genes next-generation sequencing (NGS) from January 2018 to July 2023 were enrolled for retrospective analysis. Out of 100 high-risk BC patients, 55 (55%) had at least one germline or somatic mutation in HRR genes. Among them, 22% carried germline pathogenic variants (19 BRCA1/2 and 3 non-BRCA genes), 9% harbored somatic pathogenic mutations (3 BRCA1/2 and 6 non-BRCA genes). Among high-risk factors, family history and early onset BC showed a correlation with HRR gene mutations (p < 0.05). BRCA1 germline and HRR gene somatic mutations showed a correlation with TNBC, but BRCA2 germline mutations were associated with Luminal B/HER2-negative BC (p < 0.05). Patients with HRR gene somatic pathogenic variant more likely had a lympho-vascular invasion and distant metastasis (p < 0.05). The prevalence of HRR gene germline and somatic mutations were higher in Chinese BC patients with high risk factors. We strongly recommend that these high-risk BC patients receive comprehensive gene mutation testing, especially HRR genes, which are not only related to genetic consultation for BC patients and provide a theoretical basis for necessary prevention and individualized treatment.

A nomogram for predicting the risk of cancer-related cognitive impairment in breast cancer patients based on a scientific symptom model

Cancer-related cognitive impairment is a significant clinical challenge observed in patients with breast cancer, manifesting during or after treatment. This impairment leads to deteriorations in memory, processing speed, attention, and executive functioning, which profoundly impact patients' occupational performance, daily living activities, and overall quality of life. Grounded in the Symptom Science Model 2.0, this study investigates the contributing factors to Cancer-related cognitive impairment in breast cancer patients and develops a predictive nomogram for this demographic. Employing both univariate and multivariate logistic regression analyses, this investigation delineates the predictive factors influencing outcomes in breast cancer patients. A nomogram was constructed leveraging these identified predictive factors, accompanied by internal validation through bootstrap resampling methodology (1000 bootstrap samples). The efficacy of the predictive model was assessed by employing the Hosmer–Lemeshow goodness-of-fit test and calibration curves. The prevalence of cognitive impairment in breast cancer patients was identified to be 45.83%.Multivariate logistic regression analysis identified the independent predictors of Cancer-related cognitive impairment in breast cancer patients as place of residence, educational level, chemotherapy, benefit finding, post-traumatic growth, anxiety, fear of cancer progression, and fasting blood glucose levels. these factors were integrated into the nomogram. The Hosmer–Lemeshow goodness-of-fit test demonstrated that the prediction model was appropriately calibrated (χ2 = 11.520, P = 0.174). Furthermore, the model exhibited an area under the curve of 0.955 (95% CI 0.939 to 0.971) and a sensitivity of 0.906, evidencing its robust discriminative capacity and accuracy. Utilizing the Symptom Science Model 2.0 as a framework, this study comprehensively examines the multifaceted factors influencing Cancer-related cognitive impairment in breast cancer patients, spanning five critical domains: complex symptoms, phenotypic characterization, biobehavioral factors, social determinants of health, and patient-centered experiences. A predictive nomogram model was established, demonstrating satisfactory predictive accuracy and capability. This model is capable of identifying breast cancer patients with cognitive impairments with high precision. The findings furnish empirical evidence in support of the early detection, diagnosis, and intervention strategies for high-risk breast cancer patients afflicted with Cancer-related cognitive impairment.

The efficacy of primary progesterone on survival in early breast cancer: A real world scenario.

e12522 Background: Surgery performed during progestogenic milieu improves survival in breast cancer patients. We previously proved efficacy of pre-operative progesterone in high-risk, operable breast cancer. In another multicenter randomized trial, intra-operative peri-tumoral local anesthetic injection showed 29% reduction in mortality. In this study, several patients had also received progesterone injection since this is adopted as standard of care across some centers including ours. We assessed the effectiveness of pre-operative progesterone in patients who were randomized in the local anesthetic study. Methods: We analyzed 1583 patients randomized on the local anesthetic study during December 2011-October 2018 with respect to receipt of progesterone. All patient who had breast lump of ≥2cm and/or node positive were eligible to receive progesterone injection before surgery. Kaplan Meier curves were plotted along with Cox regression analysis to study factors affecting disease-free and overall survival. Results: Of 1583, 454 patients did not receive, and 1129 patients received progesterone before surgery. The median age of whole cohort was 51 years, median pT size was 3 cm, 45% were node positive, 60% ER/PR+ and 24%TNBC. At median follow-up of 68 (0·5-72) months in surviving patients, there were a total of 292 DFS events (progesterone arm-193, no-progesterone arm-99). The 5-year disease-free survival (DFS) was 86.5% in the progesterone arm and 79.2% in the no-progesterone arm (HR-0.57,0.45-0.73, P&lt;0.001). The 5-year overall survival (OS) was 90.5% in the progesterone arm and 82.8% in the no-progesterone arm (HR-0.47,0.36-0.63,P&lt;0.001). On Cox Regression analysis (Table), administration of progesterone injection was an independent prognostic factor for DFS (HR-0.53,0-41-0.70, p&lt;0.001) and OS (HR-0.44,0-32-0.60, p&lt;0.001) both. Conclusions: The receipt of pre-operative progesterone improved outcomes in the setting of another randomized trial. It should be administered to all high risk (T2/N1) breast cancer patients who are planned for surgery first. [Table: see text]

Delays in receipt of neoadjuvant chemotherapy compared to upfront surgery in patients with operable breast cancer.

e13561 Background: Delays in time from breast cancer (BC) diagnosis to BC treatment initiation (BCTI) including upfront breast surgery (UBS) or neoadjuvant chemotherapy (NACT), can negatively impact BC survival. We evaluated odds of delay in BCTI among patients (pts) who received NACT compared to pts who received UBS. Methods: We conducted a retrospective cohort study using the National Cancer Database. Eligibility included age ≥18 years, diagnosis of non-metastatic BC between 1/1/2010 – 12/31/2020, who were treated with NACT followed by surgery or UBS followed by adjuvant chemotherapy (AC). Pts who did not receive NACT or UBS within 180 days of diagnosis were excluded. The cohort was stratified by first BC treatment (NACT or UBS), and time to NACT (TTNACT) or time to surgery (TTS) was recorded for each patient in days. Pts were categorized into sub-cohorts by receptor status and clinical stage: 1) Hormone Receptor positive/HER-2 negative (HR+/HER2-) lymph node (LN)+; 2) HER-2 positive (HER2+) cT2+ or LN+; and 3) triple negative BC (TNBC) cT2+ or LN+. Logistic regression adjusted for demographic, socioeconomic, and tumor characteristics was used to identify delays in BCTI &gt; 60 days. Multiple imputation was used for missing data. Inverse probability treatment weighting (IPTW) was done as a sensitivity analysis. Results: We identified 218,049 eligible pts, 75% were White, 18% were Black, and 8.6% were Hispanic. Median age was 53 years (range 18-90). There were 145,697 (67%) pts who received NACT with median TTNACT of 32 days (range 0-180), and 9.8% had a delay &gt; 60 days (Table). There were 72,353 (33.0%) pts who received UBS followed by AC, with a median TTS of 33 days (range 0-180), and 13% with a delay &gt; 60 days. In multivariable analysis, pts who received UBS had higher odds of BCTI delays compared to NACT, with OR 1.50 (95%CI 1.42-1.57) [HR+/HER2-], OR 1.49 (95%CI 1.41-1.58) [HER2+], and OR 1.26 (95%CI 1.18-1.34) [TNBC]. Results from IPTW analysis were similar, groups were well balanced, and pts who received UBS had higher odds of BCTI OR 1.50 (95%CI 1.44-1.57) [HR+/HER2-], OR 1.75 (95%CI 1.67-1.83) [HER2+], and OR 1.46 (95%CI 1.38-1.53) [TNBC]. Conclusions: Among high clinical risk BC patients who received surgery and chemotherapy, those who underwent NACT were less likely to experience delays in BCTI compared to pts who received UBS first. Among eligible pts, use of NACT may reduce delays in BCTI. [Table: see text]

The SURVIVE study: Liquid biopsy guided surveillance after intermediate- to high-risk early breast cancer.

TPS620 Background: Current guidelines limit routine breast cancer (BC) follow-up to clinical examinations and breast imaging. This is based on the results of two large cohort studies conducted in the 1980s that showed no improvement in overall survival (OS) by an intensified screening for distant metastases. Thus, imaging for distant metastases should currently only be performed in patients with specific symptoms. To detect distant relapse in a pre-symptomatic stage, we suggest the evaluation of a liquid biopsy-guided intensified surveillance, analyzing tumor markers (CA 27.29, CA 125 and CEA), circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA). Methods: Funded by the German Federal Ministry of Education and Research, the SURVIVE study is the first large, randomized BC surveillance trial to investigate the potential survival benefit of a liquid biopsy guided follow-up care in intermediate- to high-risk early breast cancer patients. The trial is a German multicenter, controlled phase 3 superiority study, in which 3500 patients are randomized in a 1:1 ratio to standard vs. liquid biopsy guided intensified follow-up care. Eligible patients are adults with confirmed primary invasive intermediate to high-risk early BC, defined as an indication for (neo-)adjuvant chemotherapy, and/or large tumor size (&gt; 50 mm), and/or positive lymph nodes (≥ pN1mi), and/or high grade (≥ G3). Primary anti-tumor therapy (surgery, adjuvant chemo- or radiotherapy) must have been completed previously. Patient enrollment during adjuvant endocrine, antibody- or targeted therapy is allowed. The total study duration is 144 months. Stratification factors are study site as well as HR-, HER2- and nodal status at surgery.Both study arms receive standard follow-up according to national guidelines, and the intensified surveillance arm will be tested for standard tumor markers, CTCs and ctDNA via tumor-informed approach (RaDaR assay). Pre-specified abnormal findings of any of the liquid biopsy markers indicative of minimal residual disease trigger complete staging. In the event of confirmed disease recurrence, guideline-based treatment follows, otherwise, liquid biopsy testing continues. If applicable, study participants may enter interventional trials. Statistics:The two primary objectives are to determine whether intensified, liquid biopsy-guided surveillance leads to better OS or an overall lead-time effect, compared to standard surveillance. OS will be analyzed in the ITT population using Kaplan Meier methods and cox regression models, the overall lead time effect is a purely descriptive composite measure. Secondary objectives include IDFS, DDFS, DRFS, BCSS and quality of life (QoL). Aims: We propose a liquid biopsy guided follow-up method, with high sensitivity and specificity for the earlier detection of distant (oligo-)metastases, to enable earlier initiation of therapy. Clinical trial information: NCT05658172 .

Correlation of stress, depression, sleep, and pain with race and body mass index (BMI): Secondary analysis from Alliance A011502.

e23171 Background: A011502 is a phase 3 trial that randomized high-risk nonmetastatic breast cancer (BC) patients (pts) to aspirin 300 mg daily vs. placebo. Obesity and Black race have been shown to be associated with worse clinical outcomes. We studied the association of stress, depression, sleep and pain with each other, and with BMI and race. Methods: At baseline, 2735, 2610, 2720, and 2422 pts completed Perceived Stress Scale (PSS), Center for Epidemiologic Studies Depression Scale Revised (CESD-R), Brief Pain Inventory (BPI), and Pittsburgh Sleep Quality Index (PSQI) respectively. Stress was categorized with PSS scores: low (0-13), moderate (14-26) or high (27-40). Depression was categorized with CESD-R scores: no depression (0-15) or depression (≥16). Pain was categorized with BPI scores: none/mild (0-3) or moderate/severe (≥4). Sleep quality was categorized with PSQI scores: good (0-5) or poor ( &gt; 5). Associations of measures by race and BMI were analyzed using chi-square test. Results: There was a statistically significant association among stress, depression, pain, and sleep quality (p &lt; 0.01 for all). Compared to pts with BMI &lt; 25, overweight and obese women reported higher stress (2.9%, 2.3% vs. 1.7%, p = 0.04), depression (13.4%, 18% vs. 9.6%, p &lt; 0.01), moderate/severe pain (16.5%, 20.3% vs. 12%, p &lt; 0.01), and poor sleep (64.9%, 71.5% vs. 60.4%, p &lt; 0.01). Black women reported more moderate/severe pain compared to White women or other races (32.9% vs. 14.2% vs. 27.8%, p &lt; 0.01). There was no association of other symptoms with race (Table 1). Conclusions: Obesity was associated with higher stress, depression, poor sleep and pain among BC pts from A011502. Black women reported higher pain compared to other races. Future studies are warranted that determine causal associations, how symptoms may relate to outcome disparities, and develop approaches to address them. U10CA180821, U10CA180882, UG1CA233196; https://acknowledgments.alliancefound.org . Clinical trial information: NCT02927249 . [Table: see text]

Association of higher baseline stress and pain with clinical outcomes: Secondary analysis from Alliance A011502.

11016 Background: A011502 is a phase 3 randomized double-blind clinical trial that enrolled high-risk nonmetastatic breast cancer (BC) patients (pts) and randomized pts to aspirin 300 mg daily vs. placebo. There was no significant difference in invasive disease-free survival (iDFS) between the two arms. A secondary objective was to determine the association of inflammation-affiliated factors (stress, depression, poor sleep quality and pain) with iDFS and overall survival (OS). We hypothesized that these baseline factors are associated with worse clinical outcomes. Methods: At baseline, 2735, 2720, 2422 and 2610 pts completed Perceived Stress Scale (PSS), Brief Pain Inventory (BPI), Pittsburgh Sleep Quality Index (PSQI) and Center for Epidemiologic Studies Depression Scale Revised (CESD-R) respectively. Stress was categorized with PSS scores: low (0-13), moderate (14-26) or high stress (27-40). Pain was categorized with BPI scores: none/mild (0-3) or moderate/severe (≥4). Sleep quality was categorized with PSQI scores: good (0-5) or poor ( &gt; 5).Depression was categorized with CESD-R scores: no depression (0-15) or depression (≥16). Associations between the measures of interest and outcomes were performed with multivariable Cox models controlling for age, body mass index, time since diagnosis, race, ethnicity, hormone receptor status and treatment arm. Results: Median follow up was 35 months. The associations from multivariable Cox model are shown in Table 1. Pts who reported high PSS had significantly worse iDFS and (non-significant) worse OS. Moderate/severe average (avg) pain was significantly associated with worse iDFS and OS. Poor sleep quality and depression were associated with worse iDFS and OS but not statistically significant. Conclusions: Pts reporting higher stress and pain at baseline had worse outcomes. We acknowledge that both pain and stress may be related to other non-cancer issues (chronic comorbidities). Our study highlights the need for clinical trials to consider including questionnaires to assess pt-reported outcomes. Future studies are warranted to determine if measures to decrease pain and stress would improve BC outcomes. U10CA180821, U10CA180882, UG1CA233196; https://acknowledgments.alliancefound.org . NCT02927249: Clinical trial information: NCT02927249 . [Table: see text]

Profile of breast cancer in patients with Li-Fraumeni syndrome: An institutional experience.

e13042 Background: Li Fraumeni syndrome (LFS) is a rare autosomal dominant syndrome, associated with multisystem cancer predisposition. Considering the rarity of this syndrome, studies are very sparse on survival outcomes of breast cancer with germline TP53 mutation and there exists discrepancy amongst the results. Methods: This retrospective observational study included 17 patients with germline TP53 mutated breast cancer registered at All India Institute of Medical Sciences (AIIMS), New Delhi, India between the period of 1st April 2016 to 31st Dec 2023. Among the 577 high-risk breast cancer patients, who underwent germline mutation testing, 231 (40.03%) cases had pathogenic mutation [145(25.12%) were BRCA mutated,15 (2.59%) were TP53 mutated, and the rest were others pathogenic variant]. All the TP53 mutations were crosschecked via the ClinVar mutation database to be classified as pathogenic. Results: The median age of 15 patients was 31 years (23-55) and 12 (80%) cases were premenopausal. All the patients had breast cancer as the index malignancy. The Stage distribution (AJCC-7th edition) Stage I, 1(6.6%); Stage II, 7 (46.6 %); Stage III, 4 (26.6 %); and Stage IV, 3 (20 %). Eight cases (53.3%) were HER2 positive, 4 (26.6%) were hormone receptor-positive, and 3 (20%) were Triple-negative breast carcinoma (TNBC). Ten (10) patients received neoadjuvant chemotherapy and 6 (60%) had a complete pathological response. Eight cases (53.3%) cases had a significant family history with 9 (60%) of them having at least one first-degree relative with cancer and two had more than one first-degree relative with cancer. One patient had a family history of LFS. The most common familial cancer was breast, followed by lung, GI malignancies, brain tumor, and sarcoma. Synchronous breast cancer was seen in 2 patients, synchronous malignancies were seen in 4 cases (one patient: each with lung adenocarcinoma, periampullary carcinoma, carcinoma colon, and synovial sarcoma, along with breast cancer), Four patients (26.6%) had metachronous cancers: lung cancer, ovarian carcinoma, contralateral breast cancer, and high-grade sarcoma respectively. The most common mutations were point mutations ( n = 11, 73.3%) followed by frameshift mutations ( n = 4, 26.6%). The subtypes of point mutations included missense mutations ( n = 9) and nonsense mutations ( n = 2) with the most common aberration being a replacement of arginine with glycine (c.743G&gt;A, p. Arg248Gln) and locus being exon 7. The median disease-free survival was 41 months and progression-free survival was 15 months. Conclusions: The prevalence of TP53 mutation in our breast cancer patients is 2.5%. With standard treatment protocols, the overall survival of LFS-associated breast cancer is similar to the historic cohort of patients without any germline mutation. Active surveillance of the patient and family screening is imperative, for all positive cases.

Harnessing cell-free orphan non-coding RNAs as a predictive measure of long-term survival in neoadjuvant breast cancer therapy.

585 Background: Pathologic complete response (pCR) is a valuable metric for predicting survival following neoadjuvant therapy (NAT) in breast cancer; however, blood-based biomarkers may refine the prediction of treatment outcomes and inform follow-up treatment decisions. Orphan non-coding RNAs (oncRNAs) are a novel category of small RNAs that are present in tumors and largely absent in healthy tissue. Here, we explore the feasibility of a tumor-naive oncRNA-based liquid biopsy assay for predicting distant recurrence-free survival (DRFS) in breast cancer patients using a standard blood draw. Methods: Our cohort included 538 high-risk breast cancer patients from the multicenter I-SPY2 trial having serum available after NAT and before surgery (timepoint T3). Of the 538 patients (mean age: 48.8 ± 10.3), 191 (36%) achieved pCR. We isolated small RNA from 0.8 mL of patient serum and sequenced it at an average depth of 50 million 100-bp single-end reads. We used our catalog of tumor-derived oncRNAs, discovered in The Cancer Genome Atlas, to develop an AI model for predicting tumor burden based on tumor size. Our AI model was trained on oncRNA profiles from an independent cohort of 719 serum samples collected at diagnosis from individuals with cancer. We assessed tumor burden by oncRNA in the I-SPY2 cohort at T3 and associated this measure with DRFS using robust cutpoints established for each of the two pCR groups: high- ( n=70) and low-burden ( n=468) cutpoints were verified through cross-validation and almost all folds converged on a single value, which we used in our analysis. Results: The continuous oncRNA-derived tumor burden at T3 had a hazards ratio (HR) of 2.4 (95% CI: 1.1–5.1) for predicting DRFS. This measure remained significant in multivariate Cox models that included pCR (HR = 2.7 [1.3–5.6]) or residual cancer burden (RCB II/III versus 0/I; HR = 3.4 [1.6–7.1]). Patients with pCR had a 3-year DRFS of 94%; patients with pCR having low ( n=180) versus high ( n=11) oncRNA burden resulted in 95% and 73% 3-year DRFS, respectively (HR = 7.4 [2.3–24]). Those without pCR had a 3-year DRFS of 78% and stratification by oncRNA burden resulted in 85% and 71% 3-year DRFS for the low ( n=288) and high ( n=59) burden groups, respectively (HR=2.4 [1.5–3.9]). Importantly, we saw no restricted mean survival time difference (RMST) at 3 years between those with and without pCR among the high oncRNA burden group (0.1-month difference, p=0.97). Conclusions: We demonstrate the utility of a tumor-naive, oncRNA-derived tumor burden AI model as a predictive measure of treatment outcome and as a prognostic biomarker that can be used in addition to pCR to further stratify patients as low or high risk of recurrence. Integration of our oncRNA assay with existing biomarkers and clinicopathologic variables, has the potential to add value for predicting outcomes and prioritizing patients that would benefit from additional care.

Abstract PO5-07-01: A novel clinical risk score that can accurately predict the survival of young breast cancer patients: A UAE-based cohort study

Abstract Introduction: Breast cancer (BC) in women below the age of 40 accounts for approximately 7% of all BC cases. According to studies, BC in younger women is more likely to have negative tumor characteristics and outcomes compared to older women. The rate of early-onset breast cancer in the United Arab Emirates (UAE) is higher than in the Western population (24%, previously reported). Young breast cancer patients in the UAE have worse adverse features, including a higher grade, a larger tumor size, and lymph node involvement, as we reported previously. Therefore, combining several clinical indicators to predict recurrence risk in our unique, heterogeneous young breast cancer group is needed. Aim:The aim of this study is to develop a statistical machine learning model that can predict survival and the risk of recurrence in a young breast cancer population seen and treated in a large-volume tertiary cancer center in the United Arab Emirates (Tawam Hospital). Methods: Early-onset breast cancer patients from a retrospective observational cohort study were included in this study (N = 904). A broad range of clinical data was collected. A multivariate ridge Cox regression model was performed using age, histology, molecular type (ER,PR,HER-2 status), T-stage, N-Stage, M-stage, grade, and BMI, and the interaction term age*BMI at the time of diagnosis. The primary outcome was time-to-death. A novel breast cancer risk score (BCRS) was developed as the linear predictor of the fitted-ridge Cox regression model. Breast cancer patients were categorized into low, medium, and high risk using the 33th and 66th centiles of the novel BCRS. A univariate Cox regression model was performed with a categorized BCRS as a predictor of time-to-death. Hazard ratios (HR) with a 95% confidence interval (95% CI) were estimated. Kaplan-Meier (KM) curves were plotted and compared using the log-rank test. Time-dependent sensitivity and specificity were computed at five- and ten-year follow-ups, respectively. Statistical analyses were performed in R version 4.2.3. Results: The median age was 36 years (IQR: 32–38), and 64% were Arabic. Fifteen percent had an event with a median duration of follow-up of 15.4 years (95% CI: 13.6–17.1). The estimated HR of the categorized novel BCRS in a univariate Cox regression model was 1.968 (95% CI: 1.075- 3.601) and 8.040 (95% CI: 4.695–13.769) for the intermediate and high-risk groups as compared to the low-risk group, respectively. KM curves show a clear separation in terms of survival between the three risk groups, p&amp;lt; 0.0001 (Figure 1). A cutoff value of -1.733 gives a sensitivity of 93.8 and 90.6 with corresponding specificities of 31.42 and 31.31 at five- and ten-year follow-up, respectively. Conclusion: This is the first study in the region that uses clinical data that combines several clinical characteristics and aims to design a statistical machine learning model to predict the risk of death from breast cancer. Our novel model can be used in daily clinical practice to identify high risk breast cancer patients and aid clinical decision-making in patients with breast cancer. However, further validation studies are needed. Figure 1:KM curves of breast-cancer survival for patients with low-risk (BCRS in [-2.32, -1.63], black curve), intermediate-risk (BCRS in [-1.64, -1.25], red curve), and high-risk BCRS in [-1.26, 1.41], green curve). Citation Format: Aydah Al-Awadhi, Mohammed Hourani, Mawada Hussein, Fatima Alkindi, Lina Wahba, Abla AlAgha, Alaa Shoqeir, Mouza AlShebli, Atlal Abusanad, Amar Ahmad. A novel clinical risk score that can accurately predict the survival of young breast cancer patients: A UAE-based cohort 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 PO5-07-01.

Abstract PO3-16-06: Perceptions and experiences of patients and healthcare providers on genetic testing and treatment of early breast cancer: qualitative findings

Abstract Background: Olaparib is approved as adjuvant therapy for high-risk HER2-negative early breast cancer (eBC) patients with germline BRCA mutations (BRCAm). Understanding patients’ preferences for genetic testing and treatment in the context of shared decision-making is needed to support optimal care in eBC. This study elicited the perspectives of patients with eBC and healthcare providers (HCP) treating eBC regarding treatment decision-making, and drivers and barriers to BRCA testing. Methods: Semi-structured interviews were conducted in the United States from Jan-Feb 2023 with women (n=12) diagnosed with eBC from 2017-2021. Community and academic oncologists treating eBC (n=12) and genetic counselors (GCs; n=8) were also interviewed. Patients who were tested (n=7) and untested (n=5) for BRCAm were included. A content and thematic analysis was performed which identified key factors from the data; these analyses provided both a range and common responses that may influence BRCA testing and treatment decisions. Results: BRCA-tested patients considered testing beneficial. In choosing to receive testing, &amp;gt;50% of patients reported HCP recommendation (n=7) and the opportunity to have “all of the information” about their eBC (n=7) as strong influencers. Patients declined genetic testing noting fear around negative impact to their insurance coverage (n=2) or mental health (n=3), or if they did not have family who would benefit from the information. Cost did not strongly influence testing choice. In choosing a treatment, patients sought to maintain their quality of life (QoL) with fewer side effects while minimizing chance of recurrence. They expressed the dual goals of normalcy during treatment, including curtailing side effects that impact QoL, and returning to normalcy after treatment (n=7). Patients were willing to accept unpleasant side effects to have a more effective treatment if those side effects do not severely impact their QoL and the treatment is highly effective (n=9). Side effects that may lead to hospitalization were the least accepted as they disrupt normalcy. HCPs reported that patients eagerly accept testing and face minimal familial or access barriers to testing. HCPs observed that among their non-Medicare patients, testing is usually covered by insurance with minimal out-of-pocket costs, thus alleviating financial constraints observed in previous years. HCPs believe BRCA testing is driven by updated hereditary cancer testing guidelines (e.g., NCCN), lower testing costs, closer collaborations of physicians and genetic counselors, and greater awareness among patients. HCPs reported that they embrace patient-led decision-making in eBC, especially as it relates to patients with BRCAm considering additional prophylactic surgery, and GCs further emphasized patient autonomy. Oncologists mentioned that they discuss risk status starting at diagnosis and these conversations evolve over the patient journey as new information emerges. In HR+ eBC, oncologists offered most patients with BRCAm adjuvant olaparib, which they perceive as well tolerated. In triple-negative eBC, oncologists opted for neoadjuvant Keytruda regimen prior to considering adjuvant olaparib for gBRCAm patients. Conclusions: Patients value information that empowers them to achieve their goals of normalcy and remission that can be achieved by addressing QoL, side effects, and patients' goals of living “normally”. Though prior research highlighted insurance coverage and costs as significant barriers to BRCA testing, results from this study suggest that cost was not a major factor in testing decisions. Prior barriers to testing access have been mitigated making it more available and affordable than in the past, which could be broadly communicated to patients and HCPs to minimize misperception. Citation Format: Jagadeswara Earla, Emily Mulvihill, Josh Lankin, Lauren Howell, Alex Kissling, Weiyan Li, Jaime Mejia. Perceptions and experiences of patients and healthcare providers on genetic testing and treatment of early breast cancer: qualitative findings [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 PO3-16-06.

Abstract PO1-20-05: SURVIVE study – a multicenter, randomized, controlled phase 3 superiority trial, evaluating liquid biopsy guided intensified follow-up surveillance in women with intermediate-to high-risk early breast cancer

Abstract Background: Current guidelines limit routine breast cancer follow-up to clinical examinations and breast imaging. This is based on the results of two large cohort studies conducted in the 1980s that showed no improvement in overall survival (OS) by an intensified screening for distant metastases. Thus, imaging for distant metastases should currently only be performed in patients with specific symptoms. To detect distant relapse in a pre-symptomatic stage, we suggest the evaluation of a liquid biopsy-guided intensified surveillance, analyzing tumor markers (CA 27.29, CA 125 and CEA), circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA). Trial design: Funded by the German Federal Ministry of Education and Research, the SURVIVE study is the first large, randomized breast cancer surveillance trial to investigate the potential survival benefit of a liquid biopsy guided follow-up care in intermediate- to high-risk early breast cancer patients. The trial is a German multicenter, controlled phase 3 superiority study, in which 3500 patients are randomized in a 1:1 ratio to standard vs. liquid biopsy guided intensified follow-up care. At the time of writing 150 patients have been enrolled since December 2022. The total study duration is 144 months. Stratification factors are study site as well as HR-, HER2- and nodal status at surgery. Both study arms receive standard follow-up according to national guidelines. Additional blood samples (year 1-3 every 3 months, year 4-5 every 6 months) and standardized Quality of Life (QoL) questionnaires (EORTC-QLQ-C30/PA-F12, every 6 months) will be collected. While the standard surveillance arm samples will only be stored in a biobank, samples collected in the intensive surveillance arm will be tested for standard tumor markers, CTCs and ctDNA. Pre-specified abnormal findings of any of the liquid biopsy markers indicative of minimal residual disease trigger complete staging. In the event of confirmed disease recurrence, guideline-based treatment follows, otherwise, liquid biopsy testing continues. If applicable, study participants may enter interventional trials. Eligibility criteria: Eligible patients are adult females or males with histologically confirmed primary invasive intermediate to high-risk early breast cancer, defined as an indication for (neo-)adjuvant chemotherapy, and/or large tumor size ( &amp;gt; 50 mm), and/or positive lymph nodes (≥ pN1mi), and/or high grade (≥ G3). Primary anti-tumor therapy (surgery, adjuvant chemo- or radiotherapy) must have been completed ≤ 24 months (≤ 60 months for luminal carcinoma) previously. Patient enrollment during adjuvant endocrine- or antibody-therapy, CDK4/6-/PARP- or PI3K-inhibitors and antibody-drug conjugates is allowed. Statistical methods: The two primary objectives are to determine whether intensified, liquid biopsy-guided surveillance leads to better OS or an overall lead-time effect, compared to standard surveillance. The primary endpoint OS will be analyzed in the ITT population using Kaplan Meier methods and cox regression models, the overall lead time effect is a purely descriptive composite measure. Secondary objectives include invasive disease-free survival (IDFS), distant disease-free survival (DDFS), distant recurrence free survival (DRFS), breast cancer-specific survival (BCSS) and quality of life (QoL). Specific aims: To improve OS and the QoL during breast cancer follow-up, we propose a liquid biopsy guided follow-up method, with high sensitivity and specificity for the earlier detection of distant (oligo-)metastases, to enable earlier initiation of therapy. Conclusion: The SURVIVE-study is a long-awaited trial in early breast cancer follow-up, based on promising liquid biopsy markers. If successful, the results will lead to a paradigm shift in current follow-up care of intermediate to high-risk early breast cancer survivors. Clinical trial information: NCT05658172 Citation Format: Franziska Mergel, Sophia Huesmann, Thomas Friedl, Kerstin Pfister, Tatjana Braun, Angelina Fink, Forca Mehmeti, Tanja Fehm, Volkmar Müller, Klaus Pantel, Andreas Hartkopf, Elisabeth Wiesmüller, Brigitte Rack, Wolfgang Janni. SURVIVE study – a multicenter, randomized, controlled phase 3 superiority trial, evaluating liquid biopsy guided intensified follow-up surveillance in women with intermediate-to high-risk early 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 PO1-20-05.

Abstract PO3-22-02: Concurrent chemotherapy with adjuvant radiation for patients with high-risk locally advanced breast cancer: safety and outcomes

Abstract Background: Patients with locally advanced breast cancer are at high risk for locoregional and distant recurrence and novel strategies are needed to enhance the efficacy of adjuvant radiation therapy. Selected chemotherapies act synergistically to safely radiosensitize residual disease to radiation therapy and may improve locoregional control when given concurrently. We report our institutional experience using concurrent chemotherapy with adjuvant radiotherapy for high-risk breast cancer patients. Methods: We conducted a retrospective study of breast cancer patients treated definitively with chemotherapy, surgery, and concurrent chemo-radiation (chemo-XRT) in the adjuvant setting between May 2006 and April 2019. The decision to combine chemotherapy with adjuvant conventionally fractionated radiation was based on provider discretion regarding patient’s risk of recurrence. The primary outcome was risk of locoregional recurrence (LRR). Secondary outcomes included disease free survival (DFS), overall survival (OS), and toxicity. The cumulative incidence of local recurrence was estimated with distant recurrence and death as competing risks. DFS and OS was estimated using the Kaplan-Meier method. Results: A total of 42 patients met inclusion criteria; of these 35 (83%) patients were receiving treatment for their initial breast cancer diagnosis and 7 (17%) patients were receiving treatment for a locoregional recurrence. Of the 35 patients treated in the primary setting, the majority had stage III disease (91%). Twenty-nine patients (83%) received neoadjuvant chemotherapy (NAC) all of which had residual disease after NAC and 6 patients (17%) received upfront primary surgery. Overall median total radiation dose was 57 Gy (range 45-68 Gy) with a majority receiving comprehensive regional nodal irradiation (25, 60%). Chemotherapy agents used for chemo-XRT included capecitabine (29, 69%), paclitaxel (8, 19%), and cisplatin (5, 12%). Median follow-up was 5 years after surgery (range: 4 months-16 years). At 5 years, the cumulative risk of LRR was 7% (95% CI: 2-21%). DFS was 47% (95% CI: 34-65%) and OS was 56% (95% CI: 42-74%). Of note, there were multiple exceptional responders, with OS of 51% at 10 years and 45% at 15 years. Chemo-XRT was well tolerated with 7% grade 3 toxicity (dermatitis), no grade 4 toxicity, and no new toxicity signals observed. Conclusions: Concurrent chemo-XRT for breast cancer patients with high risk locally advanced disease was safe and well tolerated. Chemo-XRT showed promise as a method to decrease risk of locoregional recurrence: the studied patient population was at very high risk, but only 7% of patients had a locoregional recurrence at 5 years. Further prospective evaluation of concurrent chemo-XRT is needed. Table 1. Patient characteristics and outcomes (N = 42) XX- XX Citation Format: Lynn Symonds, Sasha Swenson, Macklin Nguyen, Daniel Hippe, Hannah Linden, Jennifer M. Specht, WIlliam Gwin, Janice Kim. Concurrent chemotherapy with adjuvant radiation for patients with high-risk locally advanced breast cancer: safety and outcomes [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 PO3-22-02.

An Aging-Related lncRNA Signature Establishing for Breast Cancer Prognosis and Immunotherapy Responsiveness Prediction.

Emerging evidence demonstrates the vital role of aging and long non-coding RNAs (lncRNAs) in breast cancer (BC) progression. Our study intended to develop a prognostic risk model based on aging-related lncRNAs (AG-lncs) to foresee BC patients' outcomes. 307 aging-related genes (AGs) were sequenced from the TCGA project. Then, 697 AG-lncs were identified by the co-expression analysis with AGs. Using multivariate and univariate Cox regression analysis, and LASSO, 6 AG-lncs, including al136531.1, mapt-as1, al451085.2, otud6b-as1, tnfrsf14-as1, and linc01871, were validated to compute the risk score and establish a risk signature. Expression levels of al136531.1, mapt-as1, al451085.2, tnfrsf14-as1, and linc01871 were higher in low-risk BC patients, whereas otud6b-as1 expression was higher in high-risk BC patients. In the training and testing set, high-risk patients performed shorter PFI, OS, and DFS than low-risk patients. Our risk signature had the highest concordance index among other established prognostic signatures and displayed ideal predictive ability for 1-, 3- and 5-year patient OS in the nomogram. Additionally, BC patients with different risk score levels showed different immune statuses and responses to immunotherapy via GSEA, ssGSEA, ESTIMATE algorithm, and TIDE algorithm analysis. Of note, the qRT-PCR analysis validated that these 6 AG-lncs expressed quite differentially in BC tissues at various clinical stages. The risk signature of 6 AG-lncs might offer a novel prognostic biomarker and promisingly enhance BC immunotherapy's effectiveness.

Enhanced physiotherapy services for high-risk breast cancer patients: Addressing gaps in compliance with updated 2023 nice guidelines

Enhanced physiotherapy services for high-risk breast cancer patients: Addressing gaps in compliance with updated 2023 nice guidelines

Interferon-Gamma Secretion Is Significantly Decreased in Stage III Breast Cancer Patients.

Even though some studies have shown possible clinical relationship between molecular subtypes and tumor infiltrating natural killer (NK) cells around tumors, there are few studies showing the clinical relevance of peripheral NK cell activity at diagnosis in female patients with invasive breast cancer. A total of 396 female invasive breast cancer patients who received curative surgical treatment from March 2017 to July 2021 were retrospectively analyzed. NK cell activation-induced interferon-gamma (IFN-γ) secretion measured by enzyme-linked immunosorbent assay was used to measure the activity of peripheral NK cells. Statistical analyses were performed to determine clinical relationships with major clinicopathologic parameters. Quadripartite NK cell activity measured by induced interferon-gamma showed significant relevance with staging and body mass index, and some of the inflammatory serological markers, namely N/L (neutrophil/lymphocyte), P/N (platelet/neutrophil), and P/L (platelet/lymphocyte), showed significantly different NK activity in each interval by univariate analysis. A binary subgroup analysis, setting the IFN-γ secretion cut-off at 100 pg/mL, showed that stage III was significantly increased and axillary lymph node metastasis positivity was increased in the group of IFN-γ < 100 pg/mL, and IFN-γ secretion decreased with an increasing N stage, increased BMI (body mass index), and decreased production of IFN-γ. Following this, the same binary analysis, but with the IFN-γ secretion cut-off at 250 pg/mL, also showed that secretion in stage III was increased in those concentrations with <250 pg/mL, axillary lymph node positivity appeared to be correlated, and BMI ≥ 30 increased in prevalence. Additional ANOVA post hoc tests (Bonferroni) were performed on some serological markers that tended to be somewhat inconsistent. By subgroup analysis with Bonferroni adjustment between the IFN-γ secretion and TNM stage, no significant difference in IFN-γ secretion could be identified at stages I, II, and IV, but at stage III, the IFN-γ secretion < 100 pg/mL was significantly higher than 250 ≤ IFN-γ secretion < 500 pg/mL or IFN-γ secretion ≥ 500 pg/mL. According to this study, stage III was significantly associated with the lowest IFN-γ secretion. Compared to a higher level of IFN-γ secretion, a lower level of IFN-γ secretion seemed to be associated with increased body mass index. Unlike when IFN-γ secretion was analyzed in quartiles, as the IFN-γ secretion fell below 100 pg/mL, the correlation between axillary lymph node positivity and increased N stage, increased BMI, and increased N/L and P/L, which are suggested poor prognostic factors, became more pronounced. We think a peripheral IFN-γ secretion test might be convenient and useful tool for pretreatment risk assessment and selecting probable candidates for further treatment such as immunotherapy in some curable but high-risk invasive breast cancer patients, compared to other costly assaying of tissue NK cell activity at diagnosis.

Evaluating the accuracy of 18F-FDG PET-MRI scan in detecting regional lymph node disease in high risk breast cancer patients: PETAL study

Evaluating the accuracy of 18F-FDG PET-MRI scan in detecting regional lymph node disease in high risk breast cancer patients: PETAL study

Differential whole-genome doubling based signatures for improvement on clinical outcomes and drug response in patients with breast cancer

Whole genome doublings (WGD), a hallmark of human cancer, is pervasive in breast cancer patients. However, the molecular mechanism of the complete impact of WGD on survival and treatment response in breast cancer remains unclear. To address this, we performed a comprehensive and systematic analysis of WGD, aiming to identify distinct genetic alterations linked to WGD and highlight its improvement on clinical outcomes and treatment response for breast cancer. A linear regression model along with weighted gene co-expression network analysis (WGCNA) was applied on The Cancer Genome Atlas (TCGA) dataset to identify critical genes related to WGD. Further Cox regression models with random selection were used to optimize the most useful prognostic markers in the TCGA dataset. The clinical implication of the risk model was further assessed through prognostic impact evaluation, tumor stratification, functional analysis, genomic feature difference analysis, drug response analysis, and multiple independent datasets for validation. Our findings revealed a high aneuploidy burden, chromosomal instability (CIN), copy number variation (CNV), and mutation burden in breast tumors exhibiting WGD events. Moreover, 247 key genes associated with WGD were identified from the distinct genomic patterns in the TCGA dataset. A risk model consisting of 22 genes was optimized from the key genes. High-risk breast cancer patients were more prone to WGD and exhibited greater genomic diversity compared to low-risk patients. Some oncogenic signaling pathways were enriched in the high-risk group, while primary immune deficiency pathways were enriched in the low-risk group. We also identified a risk gene, ANLN (anillin), which displayed a strong positive correlation with two crucial WGD genes, KIF18A and CCNE2. Tumors with high expression of ANLN were more prone to WGD events and displayed worse clinical survival outcomes. Furthermore, the expression levels of these risk genes were significantly associated with the sensitivities of BRCA cell lines to multiple drugs, providing valuable insights for targeted therapies. These findings will be helpful for further improvement on clinical outcomes and contribution to drug development in breast cancer.

Endoplasmic reticulum stress in breast cancer: a predictive model for prognosis and therapy selection.

Breast cancer (BC) is a leading cause of mortality among women, underscoring the urgent need for improved therapeutic predictio. Developing a precise prognostic model is crucial. The role of Endoplasmic Reticulum Stress (ERS) in cancer suggests its potential as a critical factor in BC development and progression, highlighting the importance of precise prognostic models for tailored treatment strategies. Through comprehensive analysis of ERS-related gene expression in BC, utilizing both single-cell and bulk sequencing data from varied BC subtypes, we identified eight key ERS-related genes. LASSO regression and machine learning techniques were employed to construct a prognostic model, validated across multiple datasets and compared with existing models for its predictive accuracy. The developed ERS-model categorizes BC patients into distinct risk groups with significant differences in clinical prognosis, confirmed by robust ROC, DCA, and KM analyses. The model forecasts survival rates with high precision, revealing distinct immune infiltration patterns and treatment responsiveness between risk groups. Notably, we discovered six druggable targets and validated Methotrexate and Gemcitabine as effective agents for high-risk BC treatment, based on their sensitivity profiles and potential for addressing the lack of active targets in BC. Our study advances BC research by establishing a significant link between ERS and BC prognosis at both the molecular and cellular levels. By stratifying patients into risk-defined groups, we unveil disparities in immune cell infiltration and drug response, guiding personalized treatment. The identification of potential drug targets and therapeutic agents opens new avenues for targeted interventions, promising to enhance outcomes for high-risk BC patients and paving the way for personalized cancer therapy.

Identification and validation of a copper homeostasis-related gene signature for the predicting prognosis of breast cancer patients via integrated bioinformatics analysis

The prognostic value of copper homeostasis-related genes in breast cancer (BC) remains largely unexplored. We analyzed copper homeostasis-related gene profiles within The Cancer Genome Atlas Program breast cancer cohorts and performed correlation analysis to explore the relationship between copper homeostasis-related mRNAs (chrmRNA) and lncRNAs. Based on these results, we developed a gene signature-based risk assessment model to predict BC patient outcomes using Cox regression analysis and a nomogram, which was further validated in a cohort of 72 BC patients. Using the gene set enrichment analysis, we identified 139 chrmRNAs and 16 core mRNAs via the Protein–Protein Interaction network. Additionally, our copper homeostasis-related lncRNAs (chrlncRNAs) (PINK1.AS, OIP5.AS1, HID.AS1, and MAPT.AS1) were evaluated as gene signatures of the predictive model. Kaplan–Meier survival analysis revealed that patients with a high-risk gene signature had significantly poorer clinical outcomes. Receiver operating characteristic curves showed that the prognostic value of the chrlncRNAs model reached 0.795 after ten years. Principal component analysis demonstrated the capability of the model to distinguish between low- and high-risk BC patients based on the gene signature. Using the pRRophetic package, we screened out 24 anticancer drugs that exhibited a significant relationship with the predictive model. Notably, we observed higher expression levels of the four chrlncRNAs in tumor tissues than in the adjacent normal tissues. The correlation between our model and the clinical characteristics of patients with BC highlights the potential of chrlncRNAs for predicting tumor progression. This novel gene signature not only predicts the prognosis of patients with BC but also suggests that targeting copper homeostasis may be a viable treatment strategy.