Early Diagnosis Of Breast Cancer Research Articles

Barriers to Early Diagnosis of Breast Cancer amongst women in the Fiji Islands: A Qualitative Study.

To investigate the factors that may account for the delay in diagnosis and treatment in Fijian female breast cancer patients. This study adopted a qualitative approach to gain an in-depth understanding of individual barriers and participants' experiences within the Fijian context. Utilising semi-structured interviews, the study interviewed breast cancer survivors, community women, healthcare professionals, and traditional healers. Two primary themes emerged from participants' narratives relating to barriers to early breast cancer detection: (1) individual-related factors and (2) healthcare system-related factors. Within these, five sub-themes were identified. For individual-related factors, these included: cultural & religious beliefs, social support, and awareness & misconception. For healthcare system factors, the sub-themes were: House of death and limited community accessibility to screening and awareness initiatives. The results highlighted the need for targeted interventions that consider the importance of cultural beliefs, improve awareness, and foster trust in the healthcare system.

Isophorone-based crystallization-induced-emission sensors detect proteome aggregation in live cells and tissues with breast cancer

BackgroundProtein misfolding and aggregation can lead to various diseases. Recent studies have shed light on the aggregated protein in breast cancer pathology, which suggests that it is crucial to design chemical sensors that visualize protein aggregates in breast cancer, especially in clinical patient-derived samples. However, most reported sensors are constrained in cultured cell lines. ResultsIn this work, we present the development of two isophorone-based crystallization-induced-emission fluorophores for detecting proteome aggregation in breast cancer cell line and tissues biopsied from diseased patients, designated as A1 and A2. These probes exhibited viscosity sensitivity and recovered their fluorescence strongly at crystalline state. Moreover, A1 and A2 exhibit selective binding capacity and strong fluorescence for various aggregated proteins. Utilizing these probes, we detect protein aggregation in stressed breast cancer cells, xenograft mouse model of human breast cancer and clinical patient-derived samples. Notably, the fluorescence intensity of both probes light up in tumor tissues. SignificanceThe synthesized isophorone-based crystallization-induced-emission fluorophores, A1 and A2, enable sensitive detection of protein aggregation in breast cancer cells and tissues. In the future, aggregated proteins are expected to become indicators for early diagnosis and clinical disease monitoring of breast cancer.

Label-free fluorescent biosensor based on AuNPs etching releasing signal for miRNA-155 detection

Quantitative microRNA (miRNA) detection is crucial for early breast cancer diagnosis and prognosis. However, quick and stable fluorescence sensing for miRNA identification is still challenging. This work developed a novel label-free detection method based on AuNPs etching for quantitatively detecting miRNA-155. A layer of AuNPs was grown on the surface of mesoporous silica nanoparticles (MSN) loaded with Rhodamine 6G (R6G) using seed-mediated growth, followed by probe attachment. In the presence of miRNA-155, the MSN@R6G@AuNP surface loses the protection of the attached probe, rendering AuNPs susceptible to etching by hydrochloric acid. This results in a significant fluorescent signal being released in the free space. The encapsulation with AuNPs effectively reduces signal leakage, while the rapid etching process shortens detection time. This strategy enables sensitive and fast detection with a detection range of 100 fM to 100 nM, a detection limit of 2.18 fM, and a detection time of 30 min. The recovery rate in normal human serum ranges from 99.02 % to 106.34 %. This work presents a simple biosensing strategy with significant potential for application in tumor diagnosis.

New breast cancer biomarkers from diffusion magnetic resonance imaging based on the Diffusion Tensor using multivariate curve resolution (MCR) models

Currently, magnetic resonance imaging is the most sensitive imaging technique for detecting cancerous processes in early stages. As for breast cancer, due to the tubular structure of the tissue, being formed by ducts, anisotropic diffusion should be considered instead of the general isotropic diffusion. Anisotropic diffusion is studied by applying a technique called Diffusion Tensor Imaging (DTI), where the diffusion gradient is applied by changing the magnetic field in several spatial directions.To date, the application of Multivariate Curve Resolution (MCR) models in diffusion sequences has demonstrated its ability to develop cancer biomarkers of easy clinical interpretation in the case of isotropic tissues, such as the prostate. But so far, it has never been applied in the case of anisotropic tissues, as the breast.Therefore, the main objective of this work is to obtain easy-to-interpret imaging biomarkers useful for early breast cancer diagnosis from diffusion magnetic resonance imaging based on the Diffusion Tensor using multivariate curve resolution (MCR) models. A classification model to identify healthy and tumor affected pixels is also proposed.

Near-infrared AIEgens for sulfatase imaging in breast cancer in vivo.

Aggregation-induced emission luminogens (AIEgens) enable highly sensitive and in situ visualization of sulfatase to benefit the early diagnosis of breast cancer (BC), but current sulfatase AIEgens always emit visible light (<650 nm). Herein, a near-infrared (NIR) AIEgen QMT-SFA is developed for sulfatase imaging in vivo. Hydrophilic QMT-SFA is cleaved by sulfatase to yield hydrophobic QMT-OH, which subsequently aggregates into nanoparticles to turn the AIE fluorescence "on", enabling sensitive sulfatase imaging in 4T1 cells and mouse models.

Emergence of Quantum Dots as Innovative Tools for Early Diagnosis and Advanced Treatment of Breast Cancer.

Quantum dots (QDs) semiconducting nanomaterials, have garnered attention due to their distinctive properties, including small size, high luminescence, and biocompatibility. In the context of triple-negative breast cancer (TNBC), notorious for its resistance to conventional treatments, QDs exhibit promising potential for enhancing diagnostic imaging and providing targeted therapies. This review underscores recent advancements in the utilization of QDs in imaging techniques, such as fluorescence tomography and magnetic resonance imaging, aiming at the early and precise detection of tumors. Emphasis is placed on the significance of QD design, synthesis and functionalization processes as well as their use in innovative strategies for targeted drug delivery, capitalizing on their ability to selectively deliver therapeutic agents to cancer cells. As the research in this field advances rapidly, this review covers a classification of QDs according to their composition, the characterization techniques than can be used to determine their properties and, subsequently, emphasizes recent findings in the field of TNBC-targeting, highlighting the imperative need to address challenges, like potential toxicity or methodologies standardization. Collectively, the findings explored thus far suggest that QDs could pave the way for early diagnosis and effective therapy of TNBC, representing a significant stride toward precise and personalized strategies in treating TNBC.

Magnitude and Temporal Variations of Socioeconomic Inequalities in the Quality of Life After Early Breast Cancer: Results From the Multicentric French CANTO Cohort.

Socioeconomic status (SES) influences the survival outcomes of patients with early breast cancer (EBC). However, limited research investigates social inequalities in their quality of life (QoL). This study examines the socioeconomic inequalities in QoL after an EBC diagnosis and their time trends. We used data from the French prospective multicentric CANTO cohort (ClinicalTrials.gov identifier: NCT01993498), including women with EBC enrolled between 2012 and 2018. QoL was assessed using the European Organisation for Research and Treatment of Cancer QoL Core 30 questionnaire (QLQ-C30). summary score at diagnosis and 1 and 2 years postdiagnosis. We considered three indicators of SES separately: self-reported financial difficulties, household income, and educational level. We first analyzed the trajectories of the QLQ-C30 summary score by SES group. Then, social inequalities in QLQ-C30 summary score and their time trends were quantified using the regression-based slope index of inequality (SII), representing the absolute change in the outcome along socioeconomic gradient extremes. The analyses were adjusted for age at diagnosis, Charlson Comorbidity Index, disease stage, and type of local and systemic treatment. Among the 5,915 included patients with data on QoL at diagnosis and at the 2-year follow-up, social inequalities in QLQ-C30 summary score at baseline were statistically significant for all SES indicators (SIIfinancial difficulties = -7.6 [-8.9; -6.2], SIIincome = -4.0 [-5.2; -2.8]), SIIeducation = -1.9 [-3.1; -0.7]). These inequalities significantly increased (interaction P < .05) in year 1 and year 2 postdiagnosis, irrespective of prediagnosis health, tumor characteristics, and treatment. Similar results were observed in subgroups defined by menopausal status and type of adjuvant systemic treatment. The magnitude of preexisting inequalities in QoL increased over time after EBC diagnosis, emphasizing the importance of considering social determinants of health during comprehensive cancer care planning.

The long noncoding RNA MANCR to promote and stabilize triple negative breast cancer.

e13150 Background: Cancer remains a leading cause of death worldwide, despite many advances in cancer treatment over the past decade. Triple Negative Breast Cancer (TNBC) is among the highest with a poor prognosis. Early diagnosis and modern treatment regimens for breast cancer (BC) have led to a high disease-free survival rate. Still, survival decreases significantly for patients with metastatic disease. Long non-coding RNAs are among a recent class of epigenetic regulators that function in the nucleus to support the stability of the cells and maintain the fidelity of chromatin interactions. Our laboratory discovered the long noncoding RNA MANCR (LINC00704) as being upregulated in human BC tumors and this is indicative of a worse survival rate than in patients with low MANCR-expressing tumors. MANCR is aberrantly expressed in TNBC cells, and these cells are highly dependent on MANCR to retain their tumorigenic characteristics. Methods: Our functional in vitro studies in MDA-MB-231 TNBC cells used GapmerRs to knockdown MANCR. For in vivo studies, TNBC cells were injected into the 4th mammary fat pad of mice, allowed initial tumor formation, and then treated the animals with 2 nmol/g of a negative control or MANCR targeting GapmeR. We also identified genome interaction sites at single nucleotide resolution by chromatin isolation by RNA purification (ChIRP)-seq to determine the mechanism of MANCR activity in TNBC cells. Results: We found that MANCR knockdown promotes DNA damage and decreases cell proliferation, migration, anchorage-independent colony formation, transwell invasion, and overall survival. Additionally, targeting MANCR in animals with existing tumors drastically inhibited tumor growth and the end-point tumor mass over time. The MANCR GapmeR treatment also inhibited the ability of TNBC cells to circulate and disseminate to distant organs. After performing ChIRP-seq in the MDA-MB-231 cells, we identified 988 genome-wide binding sites that exhibit MANCR interactions, of which 79% are intergenic and 21% are genic regions. Furthermore, 127 MANCR ChIRP peaks were found to overlap with fragile sites in the genome, indicating MANCR provides stability to these sites. Conclusions: These data suggest that targeting MANCR has therapeutic potential for patients with “MANCR-high” TNBC tumors by disrupting genome stability. Indeed, our in vivo studies demonstrate that “MANCR-high” TNBC tumors require MANCR to rapidly grow and promote disease progression. Lastly, many of the MANCR-chromatin interactions identified were found in intergenic regions and overlap with fragile sites within the genome. Collectively these data strongly indicate that MANCR stabilizes the TNBC genome, and disrupting genome stability by targeting MANCR has therapeutic potential.

Assessment of breast cancer awareness and detection of asymptomatic cases in Ngaoundere, Adamawa region of Cameroon

IntroductionIn Cameroon and most African countries, breast cancer (BC) is mainly diagnosed at an advanced stage, leading to worse prognosis and disease consequences. This is partly due to the delayed presentation of patients, which constitutes a significant barrier to the effective management of the disease. The aim of this descriptive, cross-sectional study is to identify the level of awareness of breast cancer and screening practice among women and health professionals in the city of Ngaoundere, Cameroon. MethodsWomen and medical personnel were randomly recruited in two health institutions in the Adamawa region, Cameroon: the Ngaoundere Regional Hospital and the Ngaoundere Protestant Hospital. Two different questionnaires were prepared. The first was to collect sociodemographic data and assess participants' awareness of BC and related symptoms. The second was to collect information from the recommended screening methods for early detection of cases, including the frequency of screening practice among women and the daily practice of medical personnel. ResultsOut of the women surveyed, 88.05 % have heard of breast cancer, but the majority were unaware of its clinical signs (47.1 %) and the means of treatment (22 %). In the studied population, 66.4 % were aware of the screening, but the practice was very low, as only 1.1 % of women had ever undergone screening by mammography and only 6 % often practiced breast self-examination (BSE). The levels of screening knowledge and practice were significantly associated with the level of education and employment status (P = 0.0001). In the group of 94 health personnel surveyed, 68.1 % had no knowledge of breast cancer screening methods, and only 30 % performed breast cancer screening in their daily practice. The practice of BSE during the study allowed a detection of 2 % of screened women with some suspicious clinical signs. ConclusionThis study revealed a lack of knowledge about BC and its screening methods and practice among women and health personnel in Ngaoundere. This lack of knowledge constitutes a significant barrier to early diagnosis of BC. There is a need to raise awareness and provide education and information about BC screening.

The role of self-examination in the early diagnosis of breast cancer: routine or real opportunities?

Approximately 90% of breast tumors are detected by women themselves, but about 50% of them already have significant sizes and metastases in the lymph nodes at the time of detection. Breast self-examination is an effective means of detecting cancer in its early stages, especially among women who regularly perform it. The objective: to determine the level of awareness of Ukrainian women about the role of breast self-examination in the early diagnosis of breast cancer.Materials and methods. In order to realize the set goal, a voluntary internet survey of 508 women aged 18 to 65 was conducted in the period from December 20, 2022 to April 20, 2023, based on a previously prepared questionnaire. The previously compiled questionnaire contained 27 questions, which are divided into 6 sections.The surveyed women are divided into two groups by profession:I group – 206 women with medical education;II group – 302 women without medical education.During the survey female respondents independently made a decision to refuse to answer certain questions, which was later taken into account during the statistical processing of the obtained results.Results. During the survey, almost all the women of the studied groups stated that they were aware of the high incidence of breast cancer among Ukrainian women, the extreme difficulty of treatment and the fatal consequences of its late diagnosis. However, 132 (64.08%) female respondents of the 1st group and 243 (80.46%) female respondents of the 2nd group were confident in the impossibility of contracting breast cancer (p&lt;0.05). Thus, women who voluntarily participated in the survey are from the category of the most active and informed, but with unfounded confidence in their absolute safety regarding breast cancer.Conclusions. As the research shows, the vast majority of women consider themselves to be sufficiently informed about breast cancer, however, existing unfounded confidence in the impossibility of getting the disease reduces their cancer bias, which is significantly higher among women of non-medical professions. Social networks and the Internet remain the main source of information about breast cancer and methods of self-monitoring of the condition of the mammary glands. The majority of women are aware of the presence of risk factors for precancerous diseases and breast cancer, however, most of them have delayed the debut of self-examination of the mammary glands, perform it irregularly and do not follow the rules of its conduct, which significantly reduces its diagnostic and prognostic value. Trusted family doctors do not conduct an annual clinical examination of the mammary glands during scheduled visits of women, which significantly reduces the effectiveness of screening programs in women of all age groups. From our point of view, self-examination, as part of breast cancer screening, does not play a leading role in the diagnosis of this disease, but instills in women an urgent need to constantly worry about their health.

Cascade CRISPR/Cas12a and DSN for the electrochemical biosensing of miR-1246 in BC-derived exosomes

MiR-1246 in breast cancer-derived exosomes was a promising biomarker for early diagnosis of breast cancer(BC). However, the low abundance, high homology and complex background interference make the accurate quantitative detection of miR-1246 facing great challenges. In this study, we developed an electrochemical biosensor based on the subtly combined of CRISPR/Cas12a, double-stranded specific nuclease(DSN) and magnetic nanoparticles(MNPs) for the detection of miR-1246 in BC-derived exosomes. Ascribed to the good synergistic effect of DSN, Cas12a and MNPs, the developed electrochemical biosensor exhibited excellent performance with the linear range from 500 aM to 5 pM, and the detection limit as low down to about 50 aM. The target-specific triggered enzyme-digest activity of DSN and Cas12a system, as well as the powerful separation ability of MNPs ensure the high specificity of developed electrochemical biosensor which can distinguish single base mismatches. In addition, the developed electrochemical biosensor has been successfully applied to detect miR-1246 in blood-derived exosomes and realize distinguishing the BC patients from the healthy individuals. It is expected that the well-designed biosensing platform will open up new avenues for clinical liquid biopsy and early screening of breast cancer, as well as provide deeper insights into clinical oncology treatment.

Advances in nanocomposites-based electrochemical biosensors for the early diagnosis of breast cancer

Regardless of many years of research work and conducting numerous clinical studies, breast cancer (BC) continues to grow among women, threatening their lives and future. Currently, it affects more than 10% of women globally. Therefore, researchers have recently redirected their endeavors toward detecting BC at an early stage, recognizing its substantial impact on survival rates, and acknowledging its immense potential for providing effective cancer treatments at this early diagnosed disease stage. The utilization of biomarker-based diagnostic techniques significantly contributes to the advancement of early detection and precision. A wide range of biomarkers is linked to every newly diagnosed BC case. Traditionally, breast cancer was diagnosed using a variety of techniques such as mammography, molecular imaging, and ultrasonography. These techniques had several drawbacks, drawing the attention of many scientists to developing new methods and strategies. Among these strategies, electrochemical biosensors have proven to be excellent alternatives to more complex and traditional detection strategies in terms of performance, accuracy, robustness, and a tremendous range of applications. In this review, the use of conventional methods for detecting BC as well as their challenges and shortcomings have been stated. Moreover, a deep discussion was given to the newly developed nanocomposite-based electrochemical bio-sensing approaches that have been exploited for the effective detection and quantification of breast cancer biomarkers.

Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework

Background Breast cancer remains a pressing global health concern, necessitating accurate diagnostics for effective interventions. Deep learning models (AlexNet, ResNet-50, VGG16, GoogLeNet) show remarkable microcalcification identification (&gt;90%). However, distinct architectures and methodologies pose challenges. We propose an ensemble model, merging unique perspectives, enhancing precision, and understanding critical factors for breast cancer intervention. Evaluation favors GoogleNet and ResNet-50, driving their selection for combined functionalities, ensuring improved precision, and dependability in microcalcification detection in clinical settings. Methods This study presents a comprehensive mammogram preprocessing framework using an optimized deep learning ensemble approach. The proposed framework begins with artifact removal using Otsu Segmentation and morphological operation. Subsequent steps include image resizing, adaptive median filtering, and deep convolutional neural network (D-CNN) development via transfer learning with ResNet-50 model. Hyperparameters are optimized, and ensemble optimization (AlexNet, GoogLeNet, VGG16, ResNet-50) are constructed to identify the localized area of microcalcification. Rigorous evaluation protocol validates the efficacy of individual models, culminating in the ensemble model demonstrating superior predictive accuracy. Results Based on our analysis, the proposed ensemble model exhibited exceptional performance in the classification of microcalcifications. This was evidenced by the model’s average confidence score, which indicated a high degree of dependability and certainty in differentiating these critical characteristics. The proposed model demonstrated a noteworthy average confidence level of 0.9305 in the classification of microcalcification, outperforming alternative models and providing substantial insights into the dependability of the model. The average confidence of the ensemble model in classifying normal cases was 0.8859, which strengthened the model’s consistent and dependable predictions. In addition, the ensemble models attained remarkably high performances in terms of accuracy, precision, recall, F1-score, and area under the curve (AUC). Conclusion The proposed model’s thorough dataset integration and focus on average confidence ratings within classes improve clinical diagnosis accuracy and effectiveness for breast cancer. This study introduces a novel methodology that takes advantage of an ensemble model and rigorous evaluation standards to substantially improve the accuracy and dependability of breast cancer diagnostics, specifically in the detection of microcalcifications.

The Impact of Newly Diagnosed Early Breast Cancer on Psychological Resilience, Distress Levels, and the Perception of Health.

Confronting a breast cancer diagnosis, along with complex and challenging treatment procedures, is an extremely stressful experience. Psychological resilience is the ability to maintain or restore normal functioning while facing adversity. We aimed to explore the impact of an early breast cancer diagnosis on psychological resilience, distress, and perception of health. A cross-sectional study was conducted, including 50 patients newly diagnosed with early breast cancer and 67 healthy women with screening mammograms graded 1 or 2 using a Breast Imaging Reporting and Data System. The levels of distress, perception of health, and psychological resilience were assessed using the depression, anxiety, and stress scale, the SF 36-Item Health Survey 1.0, and the Connor-Davidson RISC-25 scale. Differences between variables were examined using the t-test and chi-square test for interval and categorial variables. The surveys were conducted within four weeks of a breast cancer diagnosis. Patients with breast cancer reported a deterioration of their health relative to the previous year and significantly higher levels of psychological resilience, while there was no significant difference between the groups in levels of stress, anxiety, or depression. The process of diagnosis with early breast cancer may activate psychological dynamic processes which are involved in the effective adaptation to acute stress, leading to higher resilience levels in breast cancer patients compared to healthy controls.

Autoantibodies against Endophilin A2 as a novel biomarker are beneficial to early diagnosis of breast cancer

BackgroundDue to the lack of early symptoms, breast cancer is frequently overlooked, leading to distant metastases and multi-organ lesions that directly threaten patients’ lives. We have identified a novel tumor marker, antibodies to endophilin A2 (EA2), to improve early diagnosis of breast cancer. MethodsAntibody levels of EA2 were analyzed in sera of patients with cancers of different origins and stages by indirect enzyme-linked immunosorbent assay (ELISA). Diagnostic accuracy and reference range were determined by the area under the receiver operating curve and distribution curve. The levels of EA2 antigen in sera were determined by sandwich ELISA. ResultsThe levels of antibodies against EA2 were higher in sera of patients with breast cancer (P < 0.0001), liver cancer (P = 0.0005), gastric cancer (P = 0.0026), and colon cancer (P = 0.0349) than those in healthy controls, but not in patients with rectal cancer (P = 0.1151), leukemia (P = 0.7508), or lung cancer (P = 0.2247). The highest diagnostic value was for breast cancer, particularly in early cases (AUC = 0.8014) and those with distant metastases (AUC = 0.7885). The titers of EA2 antibodies in sera were correlated with levels of EA2 antigen in breast cancer patients. ConclusionAntibodies to EA2 are novel blood biomarkers for early diagnosis of breast cancer that warrants further study in larger-scale cohort studies.

An analysis of the association between breast density and body mass index with breast cancer molecular subtypes in early breast cancer: data from a Spanish population

PurposeBreast cancer is an important health problem, like obesity and dyslipidemia, with a strong association between body mass index (BMI) and breast cancer incidence and mortality. The risk of breast cancer is also high in women with high mammographic breast density (MBD). The purpose of this study was to analyze the association between BMI and MBD according to breast cancer molecular subtypes.MethodsThis transversal, descriptive, multicenter study was conducted at three Spanish breast cancer units from November 2019 to October 2020 in women with a recent diagnosis of early breast cancer. Data were collected at the time of diagnosis.ResultsThe study included 162 women with a recent diagnosis of early breast cancer. The median age was 52 years and 49.1% were postmenopausal; 52% had normal weight, 32% overweight, and 16% obesity. There was no association between BMI and molecular subtype but, according to menopausal status, BMI was significantly higher in postmenopausal patients with luminal A (p = 0.011) and HER2-positive (p = 0.027) subtypes. There was no association between MBD and molecular subtype, but there were significant differences between BMI and MBD (p < 0.001), with lower BMI in patients with higher MBD. Patients with higher BMI had lower HDL-cholesterol (p < 0.001) and higher insulin (p < 0.001) levels, but there were no significant differences in total cholesterol or vitamin D.ConclusionsThis study showed higher BMI in luminal A and HER2-positive postmenopausal patients, and higher BMI in patients with low MBD regardless of menopausal status.

Improved PAA algorithm for breast mass detection in mammograms

Mammography screening is instrumental in the early detection and diagnosis of breast cancer by identifying masses in mammograms. With the rapid development of deep learning, numerous deep learning-based object detection algorithms have been explored for mass detection studies. However, these methods often yield a high false positive rate per image (FPPI) while achieving a high true positive rate (TPR). To maintain a higher TPR while also ensuring lower FPPI, we improved the Probability Anchor Assignment (PAA) algorithm to enhance the detection capability for mammographic characteristics with our previous work. We considered three dimensions: the backbone network, feature fusion module, and dense detection heads. The final experiment showed the effectiveness of the proposed method, and the TPR/FPPI values of the final improved PAA algorithm were 0.96/0.56 on the INbreast datasets. Compared to other methods, our method stands distinguished with its effectiveness in addressing the imbalance between positive and negative classes in cases of single lesion detection.

Abstract PO4-02-07: Prevalence of distant metastases in High-Risk Operable Breast Cancer (HROBC) pT1-2 N2a orhigher at diagnosis

Abstract Introduction: Current standard guidelines do not recommend a routine staging workup in early breast cancer as incidence of de novo metastasis is only 1-2%. Some of these patients are found to have a higher axillary nodal burden after surgery. This prospective study evaluated the incidence of distant metastases in clinically high-risk operable breast cancer (HROBC) who have a higher nodal burden on histopathological report after surgery. The intent was to detect presence of subclinical distant disease that may have an impact on treatment offered and outcome. Currently, there is no compelling data to support a routine metastatic workup in these patients. Methodology: A single-centre study approved by Institutional Ethics Committee was carried out enrolling early breast cancer patients with high nodal burden (four or more axillary nodes positive) after definitive surgery. The HROBC group was defined as early breast cancer patients with pT1/2, N2a/N3 stage on surgical histopathology. They underwent a comprehensive metastatic workup, including ultrasound abdomen, bone scan, and CT scan (thorax-abdomen-pelvis) or PET scan before starting their adjuvant treatment. Burden of distant disease was classified into oligometastatic (M1o) or polymetastatic disease (M1p). The adjuvant treatment intent was redefined as curative or palliative based on the distant disease burden and treatment was modified accordingly. Result: The study accrued 100 HROBC women with pT1-2, pN2a-3 stage disease during 2015-2018 operated upfront for early breast cancer cT1-2 N0-1, of which 97 were included in final analysis. The 3 excluded patients had their surgery elsewhere with clinical diagnosis of early breast cancer with histopathology indicating heavy nodal burden; 2 of them had T3 tumor and 1 had cN3 disease and were deemed a higher stage and would anyway warrant a metastatic work-up and hence were ineligible for the study. Forty percent women were premenopausal, 54 (55.6%) had pN2a disease and 43 (44.4%) had pN3. Staging investigations identified distant metastatic disease (M1) in 8 of 97 women (8.24%). Interestingly, 5 of them had oligometastatic (M1o) disease (5.15%) and 3 had polymetastatic (M1p) disease (3.09%). Between the 2 nodal groups, no specific distribution of M1o or M1p disease was observed, but the pickup rate of overall distant disease was higher in pN3 (11.4%) as against N2a (5.6%) patients p=NS. The most common sites of metastases observed was bone (5/8) followed by liver (3/8). There was no correlation with ER, PgR or HER2neu status and extent of distant disease. The patients with M1o disease, completed their adjuvant treatment as planned along with treatment of oligometastatic sites. Only 3.09% patients who were detected with M1p disease, were treated with a palliative systemic therapy. Conclusion: Early detection of metastatic disease, M1o and M1p, in clinical HROBC could lead to improved treatment strategies. The findings have the possibility to optimize management of high-risk early breast cancer as a separate clinical entity, requiring staging post hoc after primary surgery, for adequate resource stratification and better outcomes, especially in those with 10 or more axillary nodes positive for metastases. This subset may get identified in the TNM classification for better understanding and management. Citation Format: Vani Parmar, Naveena Kumar AN, Basila Ameer Ali, Nita Nair, Shalaka Joshi, Purvi Thakkar, Garvit Chitkara, Varsha Gaikwad, Vaibhav Vanmali, Shabina Siddique, Palak Popat, Sneha Shah, Sangeeta Desai, Tanuja Shet, Meenakshi Thakur, Venkatesh Rangarajan, Rajendra Badwe. Prevalence of distant metastases in High-Risk Operable Breast Cancer (HROBC) pT1-2 N2a orhigher at diagnosis [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 PO4-02-07.

Abstract PO5-02-03: Does the recommendation of adjuvant CDK4/6 inhibitors implicate more ovarian suppression in premenopausal patients? A real-world study of a public and a private Argentinean institution

Abstract Introduction The recently published NATALEE trial has reported an increase of invasive disease free survival with the addition of ribociclib to hormone therapy during 3 years. Given the fact that aromatase inhibitors are required as the endocrine therapy backbone, premenopausal patients require ovarian function suppression (OFS) during CDKi treatment In the era of CDKi in the adjuvant setting, we hypothesize that the recommendation of GnRh analogs administration in addition to aromatase inhibitors will increase for premenopausal patients, given the inclusion criteria of this pivotal trial. For this reason, we explored in a retrospective cohort of a public and a private Argentinean institution to define whether the application of these criteria would imply an increase of the recommendation of OFS as part of the adjuvant endocrine treatment. Methods This was a multicentric retrospective cohort comprising premenopausal patients with early breast cancer diagnosis. Descriptive statistics were used to summarize data. The criteria for defining ribociclib recommendations were based on the phase III NATALEE clinical trial. Univariate analysis, including t and chi-square tests were used to determine differences between the populations that received and did not receive OFS, and between both participating institutions. p&amp;lt; 0,05 was considered to evaluate statistical significance. Results 191 premenopausal patients were incorporated in our analysis, and 48 (25.1%) received OFS. In this subgroup, mean age was lower (38.1 vs 44.2 years; p&amp;lt; 0.001) and the incidence of T3 (23.9 vs 6.5%; p=0.002), node-positive tumors (57.4 vs 28.9%; p=0.005), and prior chemotherapy treatment (75.5 vs 58.8%; p&amp;lt; 0.001) was higher. Among the 143 patients that did not receive OFS, 121 (84.6%) would have fulfilled clinical trial criteria for receiving ribociclib. No differences were observed according to the treating institution: 80.3 vs 87.8%; (p=0.22). The patient subgroup that would have met NATALEE criteria and did not receive OFS, had median age of 44.19 (SD 4.18), and had prior chemotherapy in 63.8% of the cases. Considering these characteristics, we observed that chemotherapy-induced amenorrhea and local institutional guidelines were the main explanations to understand why these moderate and high-risk patients did not receive OFS. Conclusion We observed that in premenopausal patients, the application of NATALEE criteria would result in an increase of the recommendation of GnRh analogues in around 80% of patients that had not received OFS in a retrospective cohort. This scenario may result in new challenges in treatment adherence and quality of life. In addition, this information is of special importance to carefully analyze the financial toxicity of a modern adjuvant approach that will be applied in a high proportion of eBC patients, especially in low and middle-income countries. Citation Format: Vanesa Lopez, Dana Narvaez, Jorge Nadal, Federico Waisberg, Adrian Nervo, Victoria Costanzo, Claudio Paletta, Fernando E. Petracci, Sergio Rivero, Alexis Ostinelli, Matías Chacón, Andrea Aguilar, Alejandro Kuzminin, Ageles Nico, Evelina Rovera, Naima Kassis, Maria Zapata Camaño, Carolina Almada, Maria Savignano, Gustavo Roganovich, Maria Eugenia Azar, Valeria Caceres. Does the recommendation of adjuvant CDK4/6 inhibitors implicate more ovarian suppression in premenopausal patients? A real-world study of a public and a private Argentinean institution [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 PO5-02-03.

Abstract PO2-09-12: The magnitude and temporal variations of socioeconomic inequalities in quality of life after early breast cancer: results from the multicentric French CANTO cohort

Abstract Objective Previous studies showed that various outcomes in patients with early breast cancer (EBC), from incidence to survival, were influenced by social factors. However, there is limited research on the socioeconomic inequalities in quality of life (QoL) after treatment for EBC, and the magnitude and changes over time of these inequalities have not been quantified. This study examines the socioeconomic inequalities in QoL and their time trends among a large cohort of patients with EBC. Methods We conducted a comprehensive longitudinal analysis using data from the prospective multicentric CANTO study (CANcer TOxicity, NCT01993498), which included participants with EBC enrolled between 2012 and 2018. QoL was assessed using the summary score of the EORTC QLQ-C30 questionnaire at the time of diagnosis and 1 and 2 years post-diagnosis. We included patients with complete QoL data at diagnosis and 2 years post-diagnosis. Analyses were conducted for three indicators of socioeconomic status separately: self-reported financial difficulties, household income and educational level. We first analyzed trajectories of QoL by socioeconomic status from diagnosis to Year 1 and Year 2. Then, social inequalities in QoL were estimated using the regression-based slope indexes of inequality (SII) and compared across the follow-up periods. The SII represents the absolute change in the QLQ-C30 summary score along the two extremes of the socioeconomic gradient, taking into account the intermediate groups and their relative sizes. The analyses were adjusted for age at diagnosis, Charlson comorbidity index, disease stage, use and type of endocrine therapy, use and type of chemotherapy, breast surgery, radiotherapy use, and lymph node management. Results In the 5915 analyzed patients, compared to those with higher socioeconomic status, those reporting a high level of financial difficulty, lower income, or lower education were younger, most often premenopausal, with comorbidities, diagnosed with stage III BC, and treated with mastectomy and axillary lymph node dissection. There were no differences between socioeconomically-defined groups concerning BC histology, grade and IHC-defined subtype. Social inequalities in QoL at baseline were statistically significant for all socioeconomic status indicators (SIIfinancial difficulties = -7.6 [-8.9;-6.2], SIIincome= -4.0 [-5.2;-2.8]) and SIIeducation= -1.9 [-3.1;-0.7]). In multivariable analyses, social inequalities significantly increased (interaction p&amp;lt; 0.05) in Year 1 (SIIfinancial difficulties = -11.1 [-12.8;-9.4], SIIincome= -6.5 [-8.0;-5.0] and SIIeducation= -5.0 [-6.6;-3.5]) and Year 2 (SIIfinancial difficulties = -10.7 [-12.2;-9.1], SIIincome= -6.7 [-8.0;-5.3] and SIIeducation= -4.7 [-6.1;-3.3]) suggesting a widening socioeconomic gap in QoL outcomes irrespective of pre-diagnosis health, tumor characteristics and treatment. Similar results were observed in subgroups defined by menopausal status (pre/postmenopausal) and type of systemic treatment (chemotherapy, endocrine therapy). Conclusion Our study highlights and quantifies the association of several individual socioeconomic indicators with the QoL of patients with EBC in France. The magnitude of socioeconomic inequalities in QoL increased over time after EBC diagnosis in a country with a strong welfare system and universal healthcare coverage. In the era of precision medicine, these results underscore the importance of developing interventions to improve precision care, considering the conditions in which people are born, grow, work, live and age and the wider set of forces and systems shaping the conditions of daily life. Citation Format: José Luis Sandoval, Antonio Di Meglio, Arlindo Ferreira, Maria Alice Franzoi, Fabrice André, Barbara Pistilli, Christelle Jouannaud, Marion Fournier, Philippe Rouanet, Asma Dhaini Mermeche, Paul Cottu, Sibille Everhard, Anne-Laure Martin, Silvia Stringhini, Idris Guessous, Ines Vaz Luis, Gwenn Menvielle. The magnitude and temporal variations of socioeconomic inequalities in quality of life after early breast cancer: results from the multicentric French CANTO cohort [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 PO2-09-12.