Oncoplastic Surgery Outcomes in the Older Breast Cancer Population: A Matched-Cohort Comparison Study.

BACKGROUND: Oncoplastic breast surgery (OBS) is a form of breast conservation surgery (BCS) that involves a partial mastectomy followed by immediate volume displacement or volume replacement surgical techniques. To date, there are few studies evaluating OBS in older patients. Therefore, we sought to determine if outcomes differed between patients 65 years and older versus younger patients who underwent oncoplastic surgical procedures. METHODS: A retrospective chart review was performed for all oncoplastic breast operations within a single health system from 2015 to 2021. Patients were stratified by age, with patients 65 years and older (OBS65+) identified and then matched with younger patients (OBS <65) based on BMI. Primary outcomes were positive margin rates and overall complication rates; secondary outcomes were locoregional recurrence (LR), distant recurrence (DR), disease-free survival (DFS), overall survival (OS), and long-term breast asymmetry. RESULTS: A total of 217 patients underwent OBS over the 6-year period, with 22% being OBS65+. Preoperatively, older patients experienced higher American Anesthesia (ASA) scores, Charlson Co-morbidity index (CCI) scores, and higher rates of diabetes mellitus, hypertension, and grade 3 breast ptosis. Despite this, no significant differences were found between primary or secondary outcomes compared to younger patients undergoing the same procedures. CONCLUSIONS: Oncoplastic breast reconstruction is a safe option in patients 65 years and older, with overall similar recurrence rates, positive margin rates, and survival when compared to younger patients. Although the older cohort of patients had greater preoperative risk, there was no difference in overall surgical complication rates or outcomes. Supporting the argument that all oncoplastic breast reconstruction techniques should be offered to eligible patients, irrespective of age.

Glycosylphosphatidylinositol anchor biosynthesis pathway-based biomarker identification with machine learning for prognosis and T cell exhaustion status prediction in breast cancer.

As the primary component of anti-tumor immunity, T cells are prone to exhaustion and dysfunction in the tumor microenvironment (TME). A thorough understanding of T cell exhaustion (TEX) in the TME is crucial for effectively addressing TEX in clinical settings and promoting the efficacy of immune checkpoint blockade therapies. In eukaryotes, numerous cell surface proteins are tethered to the plasma membrane via Glycosylphosphatidylinositol (GPI) anchors, which play a crucial role in facilitating the proper translocation of membrane proteins. However, the available evidence is insufficient to support any additional functional involvement of GPI anchors. Here, we investigate the signature of GPI-anchor biosynthesis in the TME of breast cancer (BC)patients, particularly its correlation with TEX. GPI-anchor biosynthesis should be considered as a prognostic risk factor for BC. Patients with high GPI-anchor biosynthesis showed more severe TEX. And the levels of GPI-anchor biosynthesis in exhausted CD8 T cells was higher than normal CD8 T cells, which was not observed between malignant epithelial cells and normal mammary epithelial cells. In addition, we also found that GPI -anchor biosynthesis related genes can be used to diagnose TEX status and predict prognosis in BC patients, both the TEX diagnostic model and the prognostic model showed good AUC values. Finally, we confirmed our findings in cells and clinical samples. Knockdown of PIGU gene expression significantly reduced the proliferation rate of MDA-MB-231 and MCF-7 cell lines. Immunofluorescence results from clinical samples showed reduced aggregation of CD8 T cells in tissues with high expression of GPAA1 and PIGU.

Baseline and early 18F-FDG PET/CT evaluations as predictors of progression-free survival in metastatic breast cancer patients treated with targeted anti-CDK therapy.

BACKGROUND: Exploring the value of baseline and early 18F-FDG PET/CT evaluations in prediction PFS in ER+/HER2- metastatic breast cancer patients treated with a cyclin-dependent kinase inhibitor in combination with an endocrine therapy. METHODS: Sixty-six consecutive breast cancer patients who underwent a pre-therapeutic 18F-FDG PET/CT and a second PET/CT within the first 6 months of treatment were retrospectively included. Metabolic tumour volume (MTV) and total lesion glycolysis (TLG) and Dmax, which represents tumour dissemination and is defined as the distance between the two most distant lesions, were computed. The variation in these parameters between baseline and early evaluation PET as well as therapeutic evaluation using PERCIST were assessed as prognosticators of PFS at 18 months. RESULTS: The median follow-up was equal to 22.5 months. Thirty progressions occurred (45.4%). The average time to event was 17.8 ± 10.4 months. At baseline, Dmax was the only predictive metabolic parameter. Patients with a baseline Dmax ≤ 18.10 cm had a significantly better 18 m-PFS survival than the others: 69.2% (7.7%) versus 36.7% (8.8%), p = 0.017. There was no association between PERCIST evaluation and 18 m-PFS status (p = 0.149) and there was no difference in 18 m-PFS status between patients classified as complete, partial metabolic responders or having stable metabolic disease. CONCLUSION: Disease spread at baseline PET, as assessed by Dmax, is predictive of an event occurring within 18 months. In the absence of early metabolic progression, which occurs in 15% of patients, treatment should be continued regardless of the quality of the initial response to treatment.

Significance of Pathologic Response in Patients With Early and Locally Advanced Breast Cancer Treated With Neoadjuvant Chemotherapy in a Middle-Income Country. A Real-World Historical Cohort.

PURPOSE: Breast cancer (BC) is the most frequent neoplasm in women in Colombia and is associated with a higher mortality rate than in other countries and regions. Neoadjuvant chemotherapy (NACT) has become a standard treatment in locally advanced BC and provides an opportunity to improve clinical outcomes in BC. This study aims to describe characteristics, treatment patterns, and outcomes after NACT in a cohort of Colombian patients with BC. METHODS: We performed a retrospective cohort study. We included adult patients with BC treated with NACT. Clinical charts were retrospectively reviewed. Descriptive statistics and time to event for overall survival analyses were performed. Recursive partitioning was performed for survival curves to assess the complex relationship between survival times and other variables. RESULTS: Three hundred and fourteen patients were included for analysis. The pathologic complete response after neoadjuvant chemotherapy (ypCR) rate was 34.4%, with a higher ypCR in triple-negative BC (TNBC; 46.9%) and human epidermal growth factor receptor 2-positive BC (72.7%). Those who did not achieve ypCR had a higher percentage of death and relapse. The median follow-up was 4.9 years, with an 88.2% 5-year overall survival (OS). CONCLUSION: A total of 62.6% of the total patients identified were not treated with NACT, indicating a low utilization. Our global ypCR rate was higher when compared with similar studies in Colombia, likely because of differences in the NACT treatment regimens. ypCR was only associated with OS in the TNBC subgroup, emphasizing the importance of pursuing ypCR in these patients. We consider the use of NACT a valuable opportunity to implement innovative treatment approaches that improve outcomes in Colombian patients with BC.

Breast Cancer in Women in Gaza: A Review of Clinical Characteristics and Short-Term Survival.

PURPOSE: To understand how breast cancer is diagnosed in Gaza, and disease stage distribution, treatment, and survival. MATERIALS AND METHODS: A clinical record case series study of women diagnosed in 2017 and 2018 was conducted with follow-up until December 31, 2020. Breast cancer crude incidence rates and age-specific incidence rates were calculated. Clinical characteristics, including investigation, diagnosis, and treatment methods by year of diagnosis, were compared using the chi-square test. The 2-year cumulative risk of death from any cause was estimated using the Kaplan-Meier method, and univariate and multivariate Cox proportional hazard regressions estimated hazard ratios and their 95% CIs. RESULTS: Five hundred twenty-four new diagnoses (mean age, 53 years; range, 23-100) were recorded, giving a crude annual incidence rate of 27 per 100,000 population. Six percent (32/524) were diagnosed at stage I, 35% (185/524) at stage II, 33% (171/524) at stage III, and 19% (99/524) at stage IV. More than one half (52%, 271/524) underwent modified radical mastectomy. Seventy-seven percent (405/524) received chemotherapy, 70% (368/524) hormone therapy, and 39% (204/524) radiotherapy. Data on key prognostic factors were mostly available-stage (93%), estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2; 82%), tumor grade (77%), and tumor size (70%). The overall survival was 95.4% at 1 year and 86.6% at 2 years. CONCLUSION: Women with breast cancer in Gaza have a high short-term survival after diagnosis. However, one half were diagnosed with advanced disease, and their investigations were incomplete. Better reporting on family history, tumor grade, size, and ER, PR, and HER2 receptor status is needed for future studies.

Favorable breast cancer mortality-to-incidence ratios of countries with good human development index rankings and high health expenditures.

OBJECTIVE: Breast cancer is the most frequently diagnosed cancer among women worldwide. Mortality-to-incidence ratio (MIR) is a marker that reflects the efficacy and availability of screening interventions and treatment outcomes. MIR can be used to influence public health strategy. The association between the MIRs for breast cancer among countries with different economic statuses and health expenditure is important yet has been investigated. This study was aimed to elucidate the association between the breast cancer MIRs and the human development and health expenditure among different countries. MATERIALS AND METHODS: Cancer incidence and mortality rates were obtained from the GLOBOCAN database. The MIRs were calculated by dividing the crude rate of mortality to the incidence. Associations among the MIR and variants of human development index (HDI) and current health expenditure (CHE) in 50 countries were estimated via linear regression. RESULTS: Breast cancer had a higher incidence rate, but lower mortality rate, in developed countries (high HDI, CHE per capita, CHE/GDP), as compared with developing countries. Favorable MIRs were associated with a high HDI and high health expenditure countries (presented by high CHE per capita, and CHE/GDP) (both p < 0.001) CONCLUSION: The MIR for breast cancer is reversely correlated with the development and healthcare disparities among different countries. This implies that allocating more resources to healthcare systems for breast cancer screening and treatment can improve disease outcomes. Our report may be helpful for public health policy making.

Establishing nomograms for predicting disease-free survival and overall survival in patients with breast cancer.

BACKGROUND: Prognostic factors-based nomograms have been utilised to detect the likelihood of the specific cancer events. We have focused on the roles of aldehyde dehydrogenase 1 (ALDH1) and p-AKT in predicting the prognosis of BC patients. This study was designed to establish nomograms based on the integration of aldehyde dehydrogenase 1 (ALDH1) and p-AKT in predicting the disease-free survival (DFS) and overall survival (OS) of breast cancer (BC) patients. METHODS: Demographic and clinical data were obtained from BC patients admitted to our hospital between September 2015 and August 2016. Univariate and multivariate Cox regression analyses were utilised to analyse the risk factors of recurrence and mortality. The nomograms for predicting the DFS and OS were established using the screened risk factors. Stratified analysis was performed with the cut-off value of exp (pi) of 4.0-fold in DFS and OS, respectively. RESULTS: Multivariate Cox regression analysis indicated that ALDH, p-AKT and pathological stage III were independent risk factors for the recurrence among BC patients. ALDH1, p-AKT, pathological stage III and ER-/PR-/HER2- were independent risk factors for the mortality among BC patients. The established nomograms based on these factors were effective for predicting the DFS and OS with good agreement to the calibration curve and acceptable area under the receiver operating characteristic (ROC) curve. Finally, stratified analyses showed patients with a low pi showed significant decrease in the DFS and OS compared with those of high risk. CONCLUSION: We established nomograms for predicting the DFS and OS of BC patients based on ALDH1, p-AKT and pathological stages. The ER-/PR-/HER2- may be utilised to predict the OS rather than DFS in the BC patients.

Many breast cancer patients show poor response after treatment due to recurrence and metastasis. Therefore, early prediction of the disease-free survival and overall survival is crucial to the treatment outcome and clinical decision-making. In this study, we established nomograms with the demographic and clinical data from breast cancer patients admitted to our hospital between September 2015 and August 2016. Univariate and multivariate Cox regression analyses showed that some important proteins and signalling pathways were risk factors for decreased disease-free survival and overall survival of breast cancer patients. On this basis, we established an effective nomogram for predicting the disease-free survival and overall survival of these patients based on these factors. This study offers new options in the predicting the treatment outcome of breast cancer patients.

[County differences in incidence and mortality of malignant neoplasms in Hungary between 2005 and 2019]. / A rosszindulatú daganatos betegségek incidenciájának és mortalitásának vármegyénkénti különbségei Magyarországon 2005 és 2019 között.

The objective of our study was to map county differences in incidence and mortality by cancers and examine their changes over time. Based on the database of National Cancer Registry and Central Statistical Office, age-standardized incidence and mortality rates per 100,000 person-years were calculated for each county for 15 cancer types and 3 time periods. East-West divide was apparent in incidence and mortality of lung cancer, with larger weight in East (Borsod-Abaúj-Zemplén, Heves, Jász-Nagykun-Szolnok, Békés counties). Concentration of lip and oral cavity malignancies was identified in the northeastern periphery (Borsod-Abaúj-Zemplén, Szabolcs-Szatmár-Bereg counties). Breast cancer incidence was the highest in Budapest. As a conclusion, changes in cancer incidence and mortality over time were similar to developed countries; however, values were higher. Differences in spatial distribution follow territorial pattern of social deprivation, which correspond to higher prevalence of health risk factors. Our study contributes to planning of public health programs by pinpointing regional inequalities in different cancer types.

Clinical features and treatment outcomes of intraocular and ocular adnexal metastasis.

The aim of this study was to investigate the primary sites, clinical characteristics, and treatment outcomes of patients with metastatic tumors in the eye and ocular adnexa. This retrospective case series consisted of 42 patients diagnosed with intraocular metastasis (IM) or ocular adnexal metastasis (OAM) at a tertiary center between January 2001 and June 2023. The patients comprised 18 men and 24 women; 24 (57%) and 18 (43%) patients were diagnosed with IM and OAM, respectively. In the IM group, the primary tumors originated from the lungs (79%), followed by the breasts (17%). In the OAM group, the primary tumors originated from the breasts (33%). Previously, 57% of the patients had been diagnosed with cancer. In the IM group, 38% exhibited bilateral involvement. Only 6% of the patients with OAM had bilateral diseases. The 1-, 3-, and 5-year overall survival (OS) was 42%, 18%, and 7%, respectively. The median OS since metastasis diagnosis in the lungs and breast was 11.8 and 10.5 months, respectively. Lung cancer remains the predominant primary cancer in IM, whereas breast cancer is the major cancer in OAM. Despite poor OS, early detection will facilitate the prompt treatment of primary cancer and metastatic sites.

Breast cancer treatment and its impact on survival in Morocco: a study over a decade.

BACKGROUND: In Morocco, much progress has been made in breast cancer treatment. However, there is limited information on survival outcomes of breast cancer patients according to their therapeutic management. METHODS: A pattern-of-care study was conducted in Morocco's two main oncology centres: Rabat and Casablanca and has shown that major progress has been made in the quality of care with survival rates comparable to those in developed countries. The present study focuses on the different therapeutic strategies used in breast cancer and their impact on prognosis. Patients were classified into two categories: those considered as appropriately managed and those who were not. RESULTS: A total of 1901 women with stage I to III breast cancer were included in this study, the majority (53%) were adequately managed and had better disease-free survival (DFS) rates than those who were not: DFS at 3 years (88% versus 62%) and at 5 years (80% versus 50%). Potential significant determinants of better management were: treatment in Rabat's oncology centre, treatment between 2008 and 2012, being aged younger than 60 years, and early TN stage. CONCLUSION: This study demonstrated the value of proper integrated and coordinated management in a comprehensive cancer centre, to improve breast cancer survival.

Serum miRNA-1 may serve as a promising noninvasive biomarker for predicting treatment response in breast cancer patients receiving neoadjuvant chemotherapy.

BACKGROUND: MicroRNA-1 (miR-1) is a tumour suppressor that can inhibit cell proliferation and invasion in several cancer types. In addition, miR-1 was found to be associated with drug sensitivity. Circulating miRNAs have been proven to be potential biomarkers with predictive and prognostic value. However, studies of miR-1 expression in the serum of breast cancer (BC) patients are relatively scarce, especially in patients receiving neoadjuvant chemotherapy (NAC). METHODS: Serum samples from 80 patients were collected before chemotherapy, and RT-PCR was performed to detect the serum expression of miR-1. The correlation between miR-1 expression in serum and clinicopathological factors, including pathological complete response (pCR), was analyzed by the chi-squared test and logistic regression. KEGG and GSEA analysis were also performed to determine the biological processes and signalling pathways involved. RESULTS: The miR-1 high group included more patients who achieved a pCR than did the miR-1 low group (p < 0.001). Higher serum miR-1 levels showed a strong correlation with decreased ER (R = 0.368, p < 0.001) and PR (R = 0.238, p = 0.033) levels. The univariate model of miR-1 for predicting pCR achieved an AUC of 0.705 according to the ROC curve. According to the interaction analysis, miR-1 interacted with Ki67 to predict the NAC response. According to the Kaplan-Meier plot, a high serum miR-1 level was related to better disease-free survival (DFS) in the NAC cohort. KEGG analysis and GSEA results indicated that miR-1 may be related to the PPAR signalling pathway and glycolysis. CONCLUSIONS: In summary, our data suggested that miR-1 could be a potential biomarker for pCR and survival outcomes in patients with BC treated with NAC.

Survival outcomes after breast cancer surgery among older women with early invasive breast cancer in England: population-based cohort study.

BACKGROUND: This study assessed the influence of age, co-morbidity and frailty on 5-year survival outcomes after breast conservation surgery (BCS) with radiotherapy (RT) versus mastectomy (with or without RT) in women with early invasive breast cancer. METHODS: Women aged over 50 years with early invasive breast cancer diagnosed in England (2014-2019) who had breast surgery were identified from Cancer Registry data. Survival estimates were calculated from a flexible parametric survival model. A competing risk approach was used for breast cancer-specific survival (BCSS). Standardized survival probabilities and cumulative incidence functions for breast cancer death were calculated for each treatment by age. RESULTS: Among 101 654 women, 72.2% received BCS + RT and 27.8% received mastectomy. Age, co-morbidity and frailty were associated with overall survival (OS), but only age and co-morbidity were associated with BCSS. Survival probabilities for OS were greater for BCS + RT (90.3%) versus mastectomy (87.0%), and the difference between treatments varied by age (50 years: 1.9% versus 80 years: 6.5%). Cumulative incidence functions for breast cancer death were higher after mastectomy (5.1%) versus BCS + RT (3.9%), but there was little change in the difference by age (50 years: 0.9% versus 80 years: 1.2%). The results highlight the change in baseline mortality risk by age for OS compared to the stable baseline for BCSS. CONCLUSION: For OS, the difference in survival probabilities for BCS + RT and mastectomy increased slightly with age. The difference in cumulative incidence functions for breast cancer death by surgery type was small regardless of age. Evidence on real-world survival outcomes among older populations with breast cancer is informative for treatment decision-making.

CDK4/6 Inhibitor-Associated Mean Corpuscular Volume Change: A Potential Parameter for Predicting Survival in Metastatic Breast Cancer?

OBJECTIVE: To evaluate the impact of CDK4/6 inhibitors on erythrocyte mean corpuscular volume (MCV) change and its possible correlation with progression-free survival (PFS) and overall survival (OS). STUDY DESIGN: Observational study. Place and Duration of the Study: Department of Medical Oncology, Kahramanmaras Necip Fazil City Hospital, Kahramanmaras, Turkiye, between January 2020 and 2023. METHODOLOGY: The data of 74 patients with HR (+) HER2 (-) metastatic breast cancer were analysed retrospectively. MCV and other complete blood count metrics were noted before and after the treatment. The first post-treatment evaluation was performed at three months. The median ΔMCV values at the third month after treatment-baseline were calculated. RESULTS: The patients were all females, with a median age of 55 years (between 35 and 80). Prior to the therapy, the baseline median MCV level was 90.4 (min-max: 77.3-113.2). After three months, the median MCV level was 95 (min-max: 84.3-115.3). Moreover, 7.15 was the median ΔMCV level. Regarding PFS (16.53 vs. 15.26 months) (p = 0.13) and OS (21.46 vs. 17.83 months) (p = 0.08), there was no statistically significant difference seen between the group with ΔMCV ≥7.15 and the group with ΔMCV <7.15. CONCLUSION: CDK4/6 inhibitors led to an increase in MCV but there was no significant difference between PFS or OS and the increase in MCV. To figure out whether the rise in MCV represents a prognostic or predictive marker, further research is required. KEY WORDS: Breast cancer, CDK4/6 inhibitors, Mean corpuscular volume, Prognosis.

Identifying subtypes and developing prognostic models based on N6-methyladenosine and immune microenvironment related genes in breast cancer.

Breast cancer (BC) is the most prevalent cancer in women globally. The tumor microenvironment (TME), comprising epithelial tumor cells and stromal elements, is vital for breast tumor development. N6-methyladenosine (m6A) modification plays a key role in RNA metabolism, influencing its various aspects such as stability and translation. There is a notable link between m6A methylation and immune cells in the TME, although this relationship is complex and not fully deciphered. In this research, BC expression and clinicopathological data from TCGA were scrutinized to assess expression profiles, mutations, and CNVs of 31 m6A genes and immune microenvironment-related genes, examining their correlations, functions, and prognostic impacts. Lasso and Cox regression identified prognostic genes for constructing a nomogram. Single-cell analyses mapped the distribution and patterns of these genes in BC cell development. We investigated associations between gene-derived risk scores and factors like immune infiltration, TME, checkpoints, TMB, CSC indices, and drug response. As a complement to computational analyses, in vitro experiments were conducted to confirm these expression patterns. We included 31 m6A regulatory genes and discovered a correlation between these genes and the extent of immune cell infiltration. Subsequently, a 7-gene risk score was generated, encompassing HSPA2, TAP1, ULBP2, CXCL1, RBP1, STC2, and FLT3. It was observed that the low-risk group exhibited better overall survival (OS) in BC, with higher immune scores but lower tumor mutational burden (TMB) and cancer stem cell (CSC) indices, as well as lower IC50 values for commonly used drugs. To enhance clinical applicability, age and stage were incorporated into the risk score, and a more comprehensive nomogram was constructed to predict OS. This nomogram was validated and demonstrated good predictive performance, with area under the curve (AUC) values for 1-year, 3-year, and 5-year OS being 0.848, 0.807, and 0.759, respectively. Our findings highlight the profound impact of prognostic-related genes on BC immune response and prognostic outcomes, suggesting that modulation of the m6A-immune pathway could offer new avenues for personalized BC treatment and potentially improve clinical outcomes.

[Gene-age interaction study of breast cancer prognosis based on epigenomic data].

Objective: Exploring gene-age interactions associated with breast cancer prognosis based on epigenomic data. Methods: Differential expression analysis of DNA methylation was conducted using multiple independent epigenomic datasets of breast cancer from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The false discovery rate (FDR) method was used for multiple corrections, retaining differentially methylated sites with q-FDR≤0.05. A three-stage analytic strategy was implemented, using a multivariable Cox proportional hazards regression model to examine gene-age interactions. In the discovery phase, signals with q-FDR ≤ 0.05 were screened out using TCGA-BRCA database. In validation phaseⅠ, the interaction was validated using GSE72245 data, with criteria of P≤0.05 and consistent effect direction. In validation phaseⅡ, the signals were further validated using GSE37754 and GSE75067 data. A prognostic prediction model was constructed by incorporating clinical indicators and interaction signals. Results: The three-stage analytic strategy identified a methylation site (cg16126280EBF1), which interacted with age to jointly affect the overall survival time of patients (interaction HR= 1.001 1,95%CI:1.000 7-1.001 5,P<0.001). Stratified analysis by age showed that the effect of hypermethylation of cg16126280EBF1 was completely opposite in younger patients (HR=0.550 5, 95%CI: 0.383 8-0.789 6, P=0.001) and older patients (HR=2.166 5, 95%CI: 1.285 2-3.652 2, P=0.004). Conclusions: The DNA methylation site cg16126280EBF1 exhibits an interaction with age, jointly influencing the prognosis of breast cancer in a complex association pattern. This finding contributes new population-based evidence for the development of age-specific targeted drugs.

B2 Prognostic Index in Determining Prognosis in Metastatic Breast Cancer.

OBJECTIVE: To determine the relationship between the B2 prognostic index (B2PI) scoring method and prognosis in metastatic breast cancer, and to create a formula based on parameters that can be easily accessed in daily practice. STUDY DESIGN: Descriptive study. Place and Duration of the Study: Department of Medical Oncology, Dokuz Eylul University, Izmir, Turkiye, between May 2010 and June 2021. METHODOLOGY: The clinicopathological characteristics of the patients were compared between the groups. All female breast cancer patients over the age of 18 years with de novo metastatic and non-metastatic breast cancers who developed metastasis during follow-up, were included in the study. Those with a second solid cancer or haematological malignancy and with a life expectancy of less than 3 months were excluded from the study. Chi-square and Fisher's exact tests were used to compare categorical data between the groups. Overall survival evaluations were made using the Kaplan-Meier analysis method and Log-Rank test. Risk factors for mortality were evaluated in Cox regression analysis. In all statistical tests, p <0.05 was considered statistically significant. RESULTS: There were 176 patients in this study, out of which 111 (63.1%) were de novo metastatic. When the effect of B2PI risk groups on overall survival in intrinsic subtypes was analysed, significant differences were found in the overall survival of B2PI risk groups in all subtypes except HER2+ ER- (HER2 overexpression subtype). According to the B2PI scoring system, the median overall survival was higher for both low-risk and moderate-risk patients compared to those in the high-risk category. CONCLUSION: For metastatic breast cancer patients, the B2PI can be used to determine prognosis and develop treatment strategies, as it is a clinical decision-making tool based on parameters that are easily accessible in daily practice. KEY WORDS: Metastatic breast cancer, B2 prognostic index, Prognosis, Survival.

Modifiable Risk Factors for Breast Cancer Mortality in Türkiye from 1990 to 2019: A Temporal Analysis of Global Burden of Disease Data.

Background: Breast cancer is the leading cause of cancer-related mortality in women in Türkiye. Aims: Explore the trends in female breast cancer mortality rates and the associated modifiable factors in Türkiye between 1990 and 2019. Study Design: Epidemiological descriptive analysis. Methods: The database of the Global Burden of Disease study was used to obtain data regarding breast cancer-related mortality and modifiable (behavioral and metabolic) risk factors among women in Türkiye from 1990 to 2019. The average annual percentage change (AAPC) for female breast cancer mortality rates was computed using the Joinpoint regression method. Results: From 1990 to 2009, the breast cancer mortality rates in Türkiye tended to increase [from 12.26/105 in 1990 to 12.65/105 in 2019; AAPC=0.1 "95% confidence interval (CI): 0.1-0.1"]. In terms of breast cancer mortality attributed to modifiable factors, a 3% increase was observed from 1990 (20.4%) to 2019 (23.1%), the highest contributor being high body mass index (3.19% in 1990 to 5.87% in 2019; AAPC=1.5; 95% CI: 1.3-1.5), followed by high fasting plasma glucose (5.01% in 1990 to 7.72% in 2019; AAPC=1.4; 95% CI: 1.3-1.5). Conclusion: The proportion of breast cancer-related deaths attributed to metabolic factors has been increasing in Türkiye from 1990 to 2019. Therefore, health policies aimed at managing metabolic factors in women are warranted to reduce breast cancer-related mortality in Türkiye.

Breast cancer hormone receptor levels and benefit from adjuvant tamoxifen in a randomized trial with long-term follow-up.

BACKGROUND: Hormone receptor positivity predicts benefit from endocrine therapy but the knowledge about the long-term survival of patients with different tumor receptor levels is limited. In this study, we describe the 25 years outcome of tamoxifen (TAM) treated patients. PATIENTS AND METHODS: Between 1983 and 1992, a total of 4,610 postmenopausal patients with early-stage breast cancer were randomized to receive totally 2 or 5 years of TAM therapy. After 2 years, 4,124 were alive and free of breast cancer recurrence. Among these, 2,481 had demonstrated estrogen receptor positive (ER+) disease. From 1988, the Abbot enzyme immunoassay became available and provided quantitative receptor levels for 1,210 patients, for which our analyses were done. RESULTS: After 5 years of follow-up, when all TAM treatment was finished, until 15 years of follow-up, breast cancer mortality for patients with ER+ disease was significantly reduced in the 5-year group as compared with the 2-year group (hazard ratios [HR] 0.67, 95% confidence intervals [CI] 0.55-0.83, p < 0.001). After 15 years, the difference between the groups remained but did not increase further. A substantial benefit from prolonged TAM therapy was only observed for the subgroup of patients with ER levels below the median (HR = 0.62, 95% CI 0.46-0.84, p = 0.002). Similarly, patients with progesterone receptor negative (PR-) disease did benefit from prolonged TAM treatment. For patients with progesterone receptor positive (PR+) disease, there was no statistically significant benefit from more than 2 years of TAM.  Interpretation: As compared with 2 years of adjuvant TAM, 5 years significantly prolonged breast cancer-specific survival. The benefit from prolonged TAM therapy was statistically significant for patients with ER levels below median or PR-negative disease. There was no evident benefit from prolonged TAM for patients with high ER levels or with PR+ tumors.

Molecular alterations and prognosis of breast cancer with cutaneous metastasis.

PURPOSE: Cutaneous metastasis (CM) accounts for 5-30% of patients with breast cancer (BC) and presents unfavorable response to treatment and poor prognosis. A better understanding of the molecular alterations involved in metastasis is essential, which would help identify diagnostic and efficacy biomarkers for CM. MATERIALS: We retrospectively reviewed a total of 13 patients with histological or cytological diagnosis of breast cancer and CM. Clinical information was extracted from the medical records. The mutational landscape of matched primary tumors with their lymph nodes or CM tissues were analyzed using next-generation sequencing (NGS) of 425 cancer-relevant genes. All tissues were also analyzed by immunohistochemistry (IHC). The association of prognosis with various clinical and molecular factors was also evaluated. RESULTS: More than half of the patients were Ki67 low (< 50%, 53.7%). Most patients (12, 92.3%) had other metastasis sites other than skin. The median time from diagnosis to the presentation of CM (T1) was 15 months (range: 0-94 months) and the median time from CM to death (T2) was 13 months (range 1-78). The most frequently altered genes across the three types of tissues were TP53 (69.6%, 16/23), PIK3CA (34.8%, 8/23), and MYC (26.1%). The number of alterations in CM tends to be higher than in primary tumors (median 8 vs. 6, P = 0.077). Copy number loss in STK11, copy number gain in FGFR4, TERT, AR, FLT4 and VEGFA and mutations in ATRX, SRC, AMER1 and RAD51C were significantly enriched in CM (all P < 0.05). Ki67 high group (> 50%) showed significantly shorter T1 than the Ki67 low group (≤ 50%) (median 12.5 vs. 50.0 months, P = 0.036). TP53, PIK3CA mutations, and TERT amplification group were associated with inferior T2 (median 11 vs. 36 months, P = 0.065; 8 vs. 36 months, P = 0.013, 7 vs. 36 months, P = 0.003, respectively). All p values were not adjusted. CONCLUSION: We compared the genomic features of primary breast cancer tissues with their corresponding CM tissues and discussed potential genes and pathways that may contribute to the skin metastasis of advanced breast cancers patients. TP53, PIK3CA mutant, and TERT amplification may serve as biomarkers for poor prognosis for CM patients.

The association of breast cancer patients survival and prior menopausal hormone therapy in women with type 2 diabetes.

We investigated the association of prediagnostic use of menopausal hormone therapy (MHT) with breast cancer survival among women with type 2 diabetes (T2D). The study cohort was identified from a Finnish nationwide diabetes database, and consisted of women with T2D, who were diagnosed with breast cancer between 2000 and 2011 (n = 3189). The patients were classified according to their previous MHT use: systemic MHT, local MHT, and no history of any MHT. The cumulative mortality from breast cancer, cardiovascular diseases, and other causes in three MHT groups was described by the Aalen-Johansen estimator. The cause-specific mortality rates were analyzed by Cox models, and adjusted hazard ratios (HRs) were estimated for the use of MHT. The breast cancer mortality appeared to be lower among systemic MHT users (HR 0.49, 95% Cl 0.36-0.67) compared with non-users of MHT. The mortality from cardiovascular diseases and from other causes of death was found to be lower among systemic MHT users, (HR 0.49, 95% Cl 0.32-0.74), and (HR 0.51, 95% Cl 0.35-0.76), respectively. In conclusion, prediagnostic systemic MHT use is associated with reduced breast cancer, cardiovascular, and other causes of mortality in women with T2D.