Current trends in breast cancer: pathology, breast cancer microscopic analysis, breast cancer stages, and classification

Smoking History in Relation to Survival after a Breast Cancer Diagnosis

Introduction: Breast cancer is the most common malignancy in women and the leading cause of cancer deaths worldwide. In Ghana and many parts of Africa more than 50% of breast cancer patients present with advanced stage even though evidence suggests that health education on breast cancer has intensified. Objectives: To determine the socio demographic characteristics of women presenting with breast cancer, pattern of presentation and the association between patients demographic characteristics and stage of presentation. Methods: A prospective cross-sectional study over a period of three months was conducted at the Breast clinic of Komfo Anokye Teaching Hospital, Kumasi, Ghana. Women with histological diagnosis of breast cancer were interviewed using a structured questionnaire. Results: Fifty women with breast cancer were studied with ages between 27 and 75 years with peak between 40-49 years. Majority presented three months after noticing the first symptom, usually a breast lump. Twenty nine (58%) women presented with late stage breast cancer. The commonest histologic type 44(88%) was invasive ductal Carcinoma. There was a strong positive correlation between stage of breast cancer and place of residence (0.4496) but a weak positive correlation between stage of breast cancer and age (0.1684), as was also stage of breast cancer and marital status (0.1143). There was a negative correlation between level of education and stage of presentation (-0.3398). Conclusion: Breast Cancer is common in 40-49 age groups. The incidence of late stage breast cancer is 58% with majority presenting within 7-12 months of onset of first symptoms, mostly breast lumps with invasive ductal carcinoma as the most common histologic type in stage 3. Fear of mastectomy was the main reason for late presentation. Most patients had some knowledge on breast cancer mostly from the radio stations. The stage of Breast cancer was strongly associated with patients’ level of education, residence (distance from facility) and religion.

Current guidelines lack definitive recommendations on the use of chemotherapy for early-stage breast cancer in patients aged over 70. Clinical decision-making on chemotherapy for elderly breast cancer remains challenging because of insufficient large-scale, long-term outcomes. We conducted a retrospective cohort study using the Surveillance, Epidemiology, and End Results database from 2010 to 2020 to investigate early-stage breast infiltrating ductal carcinoma in patients aged 70 to 79. Propensity score matching (PSM) with a ratio of 1:1 and caliper of 0.02 standard deviation of propensity score was employed to address covariate imbalance. Univariate and multivariate analyses were performed to assess the impact of chemotherapy on breast cancer-specific survival (BCSS) and overall survival (OS). We identified a total of 11,792 patients with complete information about breast cancer, who underwent surgical treatment and received systemic therapy after surgery. Among them, 3,490 patients received chemotherapy. After PSM, we obtained a matched cohort consisting of 3,156 patients where the characteristics between the two groups were balanced except for molecular subtypes. In the matched dataset, no significant differences were observed in BCSS (P = 0.118) and OS (P = 0.119) between the two groups based on Kaplan–Meier survival analysis. Similarly, multivariate COX analysis revealed that chemotherapy did not significantly reduce the risk of BCSS (HR: 1.212; 95% CI: [0.958–1.533], P = 0.109) and OS (HR: 0.888; 95% CI: [0.765–1.031], P = 0.12). Stratified analyses based on molecular subtypes revealed that chemotherapy did not confer a favorable prognosis in patients with hormone receptor (HR)-positive, human epidermal growth factor receptor 2(HER2)-negative breast cancer in stages I and IIa, as well as in patients with HR+HER2+ breast cancer in stages I. Chemotherapy may not confer a discernible benefit for all elderly patients with breast cancer. Nevertheless, de-escalating chemotherapy could be considered as a preferable alternative for older individuals diagnosed with HR+HER2- breast cancer in stages I and IIa or HR+HER2+ breast cancer in stages I.

BackgroundCurrent evidence on risk of prostate cancer following a diagnosis of male breast cancer is limited and guidance for screening in this potentially higher-risk population remainsunclear. Our objective was to quantify prostate cancer risk in men diagnosed with breast cancer.MethodsWe identified men diagnosed with first primary breast cancer between 1988 and 2012 using the Surveillance, Epidemiology and End Results Program registry databases. Men were followed for occurrence of a second primary prostate cancer and secondary outcomes of cancer-specific and overall survival. Stratified analyses were performed by age, breast cancer stage, race, and breast cancer hormone receptor status. Excess risk per 10,000 person-years and standardized incidence ratios (SIR) with 95% confidence intervals (95% CI) were calculated. We used multivaraible Cox proportional hazard models to estimate hazard ratios (HR) and 95% CI for characteristics associated with secondary prostate cancer and survival.ResultsFrom a cohort of 5753 men with breast cancer with median follow up of 4.3 years, we identified 250 cases of second primary prostate cancer. Overall, the incidence of second primary prostate cancer was modestly greater than expected (SIR = 1.12, 95% CI 0.93–1.33), although not statistically significant. Stratified analyses demonstrated associations for men ages 65–74 at the time of breast cancer diagnosis (SIR = 1.34, 95%CI 1.01–1.73), hormone receptor-positive breast cancer (SIR = 1.23, 95%CI 1.11–1.39) or AJCC stage I breast cancer (SIR = 1.36, 95%CI 1.04–1.75) and second primary prostate cancer diagnosis.ConclusionsThe incidence of prostate cancer in men with history of breast cancer is similar to the general population. Men with favorable characteristics of their breast cancer were more likely to develop prostate cancer, possibly due to a lower competing risk of breast cancer mortality.

The aim of this study was to evaluate the clinical impact of the preoperative ¹⁸F-FDG PET/CT in the initial workup of breast cancer with clinically negative axillary nodes. Whether the status of the clinical axillary nodal involvement can be considered a parameter for making a decision to omit the preoperative ¹⁸F-FDG PET/CT in the situation reported herein was also determined. A total of 178 patients who had newly diagnosed breast cancer and for whom the conventional diagnostic modalities showed no sign of axillary node metastasis were retrospectively enrolled in this study. All the patients underwent preoperative ¹⁸F-FDG PET/CT. The images and histologic results that were obtained were analyzed. ¹⁸F-FDG PET/CT detected primary lesions in 156 of the 178 patients, with an overall sensitivity of 87.6 %, and false negative results were obtained for 22 patients (12.4 %). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of ¹⁸F-FDG PET/CT in the detection of axillary nodes were 20.8, 86.9, 37.0, 74.8, and 69.1 %, respectively. Extra-axillary node metastasis was identified in two patients (1.1 %) who had internal mammary nodes. There was no distant metastasis, but coexisting primary tumor was detected in five patients (2.8 %). In total, the therapeutic plan was changed based on ¹⁸F-FDG PET/CT in seven (3.9 %) of the 178 patients, but considering only the cases confined to breast cancer, the change occurred in only two patients (1.1 %). ¹⁸F-FDG PET/CT almost did not affect the initial staging and treatment plan in breast cancer with clinically negative axillary node. If the axillary node is clinically negative in the preoperative workup of breast cancer, then ¹⁸F-FDG PET/CT can be omitted.

This review is geared to provide surgeons practical insight on breast imaging, intended to improve breast cancer detection and staging. Breast cancer is a leading cause of death in women in the United States. The American Joint Committee on Cancer staging system provides a tumor-node-metastasis classification that helps in determining prognosis and patient treatment. There is an increasing role of radiologists in ascertaining the correct cancer stage. Screening mammography is the basic tool and most widely used modality to detect breast cancer. The diagnostic work-up of a patient recalled from screening is the next step in assessing the artifacts and benign findings from more suspicious lesions. Additional mammographic views, tomosynthesis, and ultrasonography play an important role in determining if the finding represents a true lesion and if so, to localize and determine its level of suspicion to be cancer. Breast MRI is used both as a screening tool and a diagnostic modality to help in cancer detection and treatment planning. Recognizing patterns of benign masses, malignant calcifications, architectural distortion, and masses via a multimodality approach is the essential first step in further diagnosis. A quick overview of common interventional breast procedures may serve as a practical reference for the readers. This review contains 10 figures, 8 tables, and 39 references. Key Words: breast cancer, breast MRI, breast ultrasonography, fibroadenoma, invasive ductal staging, male breast, mammograms, postoperative breast, screening

This study investigated the relationship of the expression of transient receptor potential channel 1 (TRPC1), small breast epithelial mucin (SBEM) in breast cancer tissues with clinical pathological features and prognosis of patients. Altogether 50 patients with breast cancer who were treated in Weifang People's hospital from April 2017 to November 2018 were selected, and the mRNA and protein differences of TRPC1 and SBEM in breast cancer patients and normal breast cancer tissues were detected by qRT-PCR and Western blot. Spearman test was used for correlation analysis. Logistic univariate and multivariate analysis were performed on the risk factors related to breast cancer metastasis in breast cancer patients. The expression of TRPC1 and SBEM in breast cancer tissues was significantly higher than that in normal breast tissues (P<0.001). The mRNA expression of TRPC1, SBEM and protein was not related to age, tumor size and tissue grade of breast cancer patients, but related to TNM stage, clinical stage and lymph node metastasis (P<0.001). The relative expression of TRPC1 was positively correlated with clinical stage of breast cancer (r=0.992, P<0.001). The relative expression of SBEM was positively correlated with the clinical stage of breast cancer (r=0.853, P<0.001). The relative expression of TRPC1 was positively correlated with TNM staging of breast cancer (r=0.860, P<0.001). The relative expression of SBEM was positively correlated with TNM staging of breast cancer (r=0.880, P<0.001). Multivariate conditional Logistic regression analysis showed that TNM staging, TRPC1, SBEM were independent risk factors for malignant breast cancer metastasis. On the contrary, expression of TRPC1 and SBEM in breast cancer tissues was up-regulated. TRPC1 and SBEM may be involved in the process of breast cancer occurrence, development and metastasis, and can be used as potential tissue biomarkers in diagnosis of breast cancer metastasis and disease assessment.

Background: Prior studies have shown significant improvements in earlier breast cancer stage at diagnosis following Medicaid expansion. However, the mechanisms behind this finding have not been explored. The timing of Medicaid enrollment among cancer patients has been shown to be associated with cancer stage at diagnosis, with significantly higher percentages of women with late-stage breast cancer enrolling in Medicaid shortly before or after cancer diagnosis (hereafter referred to as the Peri-dx group), compared to those continuously enrolled in Medicaid at least 4 months prior to cancer diagnosis (Pre-dx group). Hence, we conducted a causal mediation study based on a logistic regression model to determine whether the observed improvements in breast cancer stage at diagnosis from Pre- to Post-expansion can be attributed to a decreasing percentage of women in the Peri-dx group, and a corresponding increase in the Pre-dx group. Methods: We used the linked Ohio Cancer Incidence Surveillance System and Medicaid data, and identified women in Ohio age younger than 66 years, diagnosed with incident invasive breast cancer during the period May 2011-December 2017, and enrolled in Medicaid at the time of cancer diagnosis (n=5,880, excluding those with unstaged/unknown-stage cancer). We defined the years 2011-2013 and 2014-2017 as the Pre- and Post-expansion periods, and Month 0 as the month of cancer diagnosis. We identified women enrolled in Medicaid in the -3 to +3-month window in the Peri-dx group, and those continuously enrolled in Medicaid at least 4 months prior to cancer diagnosis in the Pre-dx group. We conducted a causal mediation analysis to estimate the direct, indirect, and total effect of Medicaid expansion on being diagnosed with local-stage disease versus late- (regional- and distant-) stage disease, with the mediator variable being a patient in the Pre-dx group (versus in the Peri-dx group), adjusting for patient- and area-level covariates. Results: The median age of our study population was 53 years; 75.0% were non-Hispanic White. The percent of breast cancer patients diagnosed with late-stage disease was 43.5% and 53.4% in the Pre- and Peri-dx groups, respectively. We observed a clear shift in the distribution of breast cancer patients from the Peri- to the Pre-dx group over time, with an increase in the percentage of women in the Pre-dx group (from 55.2% to 74.2% from the Pre- to Post-Expansion period), and a corresponding decrease in the Peri-dx group (from 44.8% to 25.8%). Findings from our causal mediation analysis, based on a risk difference scale, showed that while the direct effect of Medicaid expansion on being diagnosed with local-stage disease was not significant (coefficient: 0.037, (p=0.297)), both the indirect and total effects were highly significant (0.049 (p &amp;lt; 0.001), and 0.086 (p=0.015)). Conclusion: Our results indicate that the improvements in breast cancer stage at diagnosis from Pre- to Post-Expansion can be attributed to a decrease in the Peri-dx group, and a corresponding increase in the Pre-dx group, which improves access to screening, increases the likelihood of breast cancer patients being engaged with Medicaid providers, and reduces delays in enrollment logistics prior to treatment initiation. Citation Format: Siran M. Koroukian, Weichuan Dong, Jeffrey Albert, Uriel Kim, Johnie Rose, Cynthia Owusu, Kristine Zanotti, Gregory Cooper, Jennifer Tsui. Impact of medicaid expansion on breast cancer stage at diagnosis: Exploring the mechanisms at play [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-12-30.

BackgroundTrend analysis in cancer quantifies the incidence rate and explains the trend and pattern. Breast and cervical cancers are the two most common cancers among Indian women which contributed 39.4 % to the total cancer in India for the year 2020. This study aimed to report the time trends in cancer incidence of breast and cervical cancer using Age–Period–Cohort (APC) model from five Population Based Cancer Registries (PBCRs) in India for the period of 1985–2014. MethodAge-Period-Cohort model was fitted to five PBCRs of Bangalore, Chennai, Delhi, Bhopal and Barshi rural for breast and cervical cancer for 25−74 age-groups. The Estimated Annual Percent Change (EAPC) was calculated. Rate Ratio (RR) of cohort effects were estimated with a constraint of period slope to be zero (p = 0) since cohort has a stronger association with incidence than period. ResultA significant increase was noted in breast cancer in all PBCRs (EAPC, Range: Delhi, 1.2 % to Bangalore, 2.7 %) while significant decrease in cervical cancer (EAPC, Range: Bangalore -2.5 % to Chennai, -4.6 %) from all the PBCRs including Barshi rural during the period. RR estimates for breast cancer showed increasing trend whereas cervical cancer showed decreasing trend in successive birth cohorts across all five PBCRs. ConclusionIn both breast and cervical cancers, a significant age, cohort and period effect was noted in Bangalore, Chennai and Delhi. Despite period effect, the cohort effect was predominant and it may be attributed to the generational changes in risk factors among cancer breast and cervix.

Background: Breast cancer is the most frequently diagnosed malignancy and the second leading cause of mortality among women in Iraq forming 23% of cancer related deaths. The low survival from the disease is a direct consequence to the advanced stages at diagnoses. Aim: To document the composite stage of breast cancer among Iraqi patients at the time of diagnosis; correlating the observed findings with other clinical and pathological parameters at presentation. Patients and Methods: A retrospective study enrolling the clinical and pathological characteristics of 603 Iraqi female patients diagnosed with breast cancer. The composite stage of breast cancer was determined according to UICC TNM Classification System of Breast Cancer and the American Joint Committee on Cancer Staging. The studied parameters comprised age of the patient, stage of the disease, marital and educational status, history of lactation and hormonal intake (for a minimum period of 6 months), family history of breast or any other cancer, the effected breast side, hormone (Estrogen and Progesterone) receptor (ER, PR) and Her2 contents of the primary cancer. Statistical analysis was performed to correlate the recorded composite stages at diagnosis with the corresponding clinical and pathological data utilizing SPSS version 16.0 statistical program. Results: Out of 603 patients, seven (1.2%) had ductal carcinoma in situ (Stage 0). Stages I, II and III and IV were documented in 9.5%, 47.1%, 33.2% and 9.1% of the patients at the time of diagnoses. Overall 70.8% of patients presented in the age group (40-59 years), 79.3% were married and 32.2% were highly educated. History of lactation, hormonal intake, family breast cancer and contralateral breast involvement was observed in 73.4%, 26.5%, 20.2% and 6.5% respectively. No correlation was elicited between the stage of breast cancer and the age of the patients, history of lactation or contralateral breast involvement. On the other hand, significant associations were demonstrated with respect to the marital and educational status, history of hormonal intake and breast cancer in the family. Immuno-histochemical evaluation revealed ER+PR+Her2+ (Triple Positive/Luminal B), ER-PR-Her2- (Triple Negative), ER+PR+Her2- (Luminal A) and ER-PR-Her2+ (Her2) subtypes in 13.4%, 11.8%, 48.2% and 9.8% of the examined breast samples respectively. When correlating the composite stage at diagnosing breast cancer with the corresponding subtypes the relationship was highly significant at p<0.01. Conclusions and Recommendations: The study reports a regression in Stage IV breast cancer at the time of initial presentation among Iraqi patients specifically in those with family history of the disease; pointing out to the fruitful outputs of initiating the National Program for Early Detection of Breast Cancer in the country. Further professional efforts, endorsed by practical policy decisions, are recommended to down stage breast cancer through promoting evidence based protocol guidelines and adopting comprehensive well designed diagnostic, screening and cancer control strategies.

Background: Breast cancer continues to be a leading cause of morbidity and mortality worldwide. In recent years, there has been a growing interest in identifying reliable biomarkers that can aid in the early detection, prognosis, and monitoring of breast cancer. High sensitivity C-reactive protein (hs-CRP), a sensitive marker of systemic inflammation, has gained attention for its potential association with various malignancies, including breast cancer. Objective: This study was designed to estimate the serum level of hs-CRP in different stages of breast cancer patients and determine its relation with the disease progression. Methods: This cross-sectional analytical study included a total of 60 women ranging in age from 30 to 65, and divided into two groups. Group A includes 30 diagnosed breast cancer patients, and group B includes 30 age-matched apparently healthy women according to the selection criteria. Serum hs-CRP (mg/L) was estimated for both groups. The mean and median values of the variable were compared between the groups by unpaired students't-tests and Mann-Whitney U tests. The level of significance was defined as p-value &lt;0.05 at 95% confidence interval. Results: There was no significant difference in age and BMI between study groups. The median value of serum hs-CRP (mg/L) level was significantly (p&lt;0.009) higher in breast cancer patients (3.57 mg/L) when compared to age-matched healthy women (1.56 mg/L). Serum hs-CRP concentrations of cases were increased significantly with the staging of breast cancer. Conclusion: This study revealed a significant relationship between hs-CRP levels with different stages of breast cancer. Estimating hs-CRP might be a useful tool for early detection, prognosis, and monitoring of breast cancer.

Obesity is a well-known risk factor for postmenopausal breast cancer. In contrast, the relationship between obesity and stage of breast cancer at diagnosis is less clear. We hypothesized that increased breast size in obese women may delay discovery of breast tumors. Thus, the purpose of our study was to examine whether there is an association between body mass and stage of breast cancer at diagnosis using hospital medical records. Newly diagnosed breast cancer cases (n = 966) in the Baltimore metropolitan area from 1991 to 1997 were included in our study. Patient information including age, ethnicity, weight, height and pathology data were obtained from hospital medical records. High body mass was significantly associated with late stage of breast cancer at diagnosis. Women who were obese (body mass index [BMI] > or = 27.3) were more likely to be at an advanced stage at diagnosis compared with women with a BMI of < 27.3 (multivariate-adjusted odds ratio [OR] 1.57, 95% confidence interval [CI] 1.15-2.14). The association between body mass and stage at diagnosis was stronger among women younger than 50 years (OR 2.34, 95% CI 1.34-4.08) compared with women 50 years or older (OR 1.30, 95% CI 0.89-1.91). Our study suggests that higher body mass is associated with advanced stage of breast cancer at diagnosis. This finding may be of considerable concern, given the increasing prevalence of obesity in women in the United States and the poor prognosis associated with late-stage tumors.

Darzi and colleagues are right to highlight research recruitment, because, before the pandemic, research activity had fallen in almost all specialties in England. 1 The Principle study, mentioned, is a...

Introduction: are current drug development programmes realising the full potential of new agents?

To evaluate whether contrast-enhanced cone-beam breast CT (CE-CBBCT) features can risk-stratify prognostic stage in breast cancer. Overall, 168 biopsy-proven breast cancer patients were analysed: 115 patients in the training set underwent scanning using v. 1.5 CE-CBBCT between August 2019 and December 2019, whereas 53 patients in the test set underwent scanning using v. 1.0 CE-CBBCT between May 2012 and August 2014. All patients were restaged according to the American Joint Committee on Cancer eighth edition prognostic staging system. Following the combination of CE-CBBCT imaging parameters and clinicopathological factors, predictors that were correlated with stratification of prognostic stage via logistic regression were analysed. Predictive performance was assessed according to the area under the receiver operating characteristic curve (AUC). Goodness-of-fit of the models was assessed using the Hosmer-Lemeshow test. As regards differentiation between prognostic stage (PS) I and II/III, increased tumour-to-breast volume ratio (TBR), rim enhancement pattern, and the presence of penetrating vessels were significant predictors for PS II/III disease (p < 0.05). The AUCs in the training and test sets were 0.967 [95% confidence interval (CI) 0.938-0.996; p < 0.001] and 0.896 (95% CI, 0.809-0.983; p = 0.001), respectively. Two features were selected in the training set of PS II vs III, including tumour volume [odds ratio (OR)=1.817, p = 0.019] and calcification (OR = 4.600, p = 0.040), achieving an AUC of 0.790 (95% CI, 0.636-0.944, p = 0.001). However, there was no significant difference in the test set of PS II vs III (P＞0.05). CE-CBBCT imaging biomarkers may provide a large amount of anatomical and radiobiological information for the pre-operative distinction of prognostic stage. CE-CBBCT features have distinctive promise for stratification of prognostic stage in breast cancer.