Observed and Predicted Risk of Breast Cancer Death in Randomized Trials on Breast Cancer Screening

BackgroundThe role of breast screening in breast cancer mortality declines is debated. Screening impacts cancer mortality through decreasing the number of advanced cancers with poor diagnosis, while cancer treatment works through decreasing the case-fatality rate. Hence, reductions in cancer death rates thanks to screening should directly reflect reductions in advanced cancer rates. We verified whether in breast screening trials, the observed reductions in the risk of breast cancer death could be predicted from reductions of advanced breast cancer rates.ResultsThe observed and predicted RR of breast cancer death were 0.72 (0.56–0.94) and 0.98 (0.77–1.24) in the HIP trial, and 0.79 (0.78–1.01) and 0.90 (0.80–1.01) in the Age trial. In the TCT, the observed RR was 0.73 (0.62–0.87), while the predicted RR was 0.89 (0.75–1.05) if overdiagnosis was assumed to be negligible and 0.83 (0.70–0.97) if extra cancers were excluded.ConclusionsIn breast screening trials, factors other than screening have contributed to reductions in the risk of breast cancer death most probably by reducing the fatality of advanced cancers in screening groups. These factors were the better management of breast cancer patients and the underreporting of breast cancer as the underlying cause of death. Breast screening trials should publish stage-specific fatalities observed in each group.     

Proliferation: the Most Prominent Predictor of Clinical Outcome in Breast Cancer

We recently identified a gene expression cassette of 97 unique genes that were consistently differentially expressed between low and high grade breast carcinomas. The majority of these genes were overexpressed in high grade tumors and, as expected, they were associated with cell cycle progression and proliferation. Interestingly, by applying this gene expression cassette to several datasets, we demonstrated that intermediate grade tumors were composed of a mixture of well- and poorly- differentiated tumors with statistically distinct clinical outcome similar to those of low and high grade carcinomas. Furthermore, these proliferation-related genes appear to be a common denominator of several existing prognostic gene expression signatures. This recapitulates their prognostic power far beyond the estrogen receptor (ER) status and highlights the importance of proliferation genes in breast cancer biology. Importantly, their weight seems to be far more important in ER-positive than in ER-negative disease.     

Managing Bone Health in Breast Cancer

ObjectiveOsteoporosis is a common condition that can be caused or exacerbated by estrogen deficiency.MethodsThis narrative review will discuss optimizing bone health in the setting of adjuvant endocrine treatments for hormone receptor–positive breast cancer and the current use of antiresorptive agents as adjuvant therapy and as bone modifying agents.ResultsAdjuvant endocrine treatments for hormone receptor–positive breast cancer (tamoxifen and aromatase inhibitors) affect bone health. The exact effect depends on the agent used and the menopausal state of the woman. Antiresorptive medications for osteoporosis, bisphosphonates and denosumab, lower the risk of bone loss from aromatase inhibitors. Use of bisphosphonates as adjuvant treatment in breast cancer, regardless of hormone receptor status, is increasing because of benefits seen to cancer relapse and survival.ConclusionOptimizing bone health in women with breast cancer during and after cancer treatment is informed by an understanding of breast cancer treatment and its skeletal effect.     

Socio-Economic and Health Access Determinants of Breast and Cervical Cancer Screening in Low-Income Countries: Analysis of the World Health Survey

Background

Breast and Cervical cancer are the two most common cancers among women in developing countries. Regular screening is the most effective way of ensuring that these cancers are detected at early stages; however few studies have assessed factors that predict cancer screening in developing countries.

Purpose

To assess the influence of household socio-economic status (SES), healthcare access and country level characteristics on breast and cervical cancer screening among women in developing countries.

Methods

Women ages 18–69 years (cervical cancer screening) and 40–69 years (breast cancer screening) from 15 developing countries who participated in the 2003 World Health Survey provided data for this study. Household SES and healthcare access was assessed based on self-reported survey responses. SAS survey procedures (SAS, Version 9.2) were used to assess determinants of breast and cervical cancer screening in separate models.

Results

4.1% of women ages 18–69 years had received cervical cancer screening in the past three years, while only 2.2% of women ages 40–69 years had received breast cancer screening in the past 5 years in developing countries. Cancer screening rates varied by country; cervical cancer screening ranged from 1.1% in Bangladesh to 57.6% in Congo and breast cancer screening ranged from 0% in Mali to 26% in Congo. Significant determinants of cancer screening were household SES, rural residence, country health expenditure (as a percent of GDP) as well as healthcare access.

Discussion

A lot more needs to be done to improve screening rates for breast and cervical cancer in developing countries, such as increasing health expenditure (especially in rural areas), applying the increased funds towards the provision of more, better educated health providers as well as improved infrastructure.     

Mobile Unit for Screening for Cervical and Breast Cancer

In 12 months'' use of a mobile unit for cervical and breast cancer screening in Gloucestershire 3,211 women attended at an average of five sessions a week. Clinic sessions were organized and the running costs of the service met by a voluntary organization. The keeping of records, provision of laboratory facilities, and the follow-up of patients were carried out in close cooperation with the county health department.     

Bone Health History in Breast Cancer Patients on Aromatase Inhibitors

A cross-sectional study was performed to assess bone health history among aromatase inhibitor (AI) users before breast cancer (BC) diagnosis, which may impact fracture risk after AI therapy and choice of initial hormonal therapy. A total of 2,157 invasive BC patients initially treated with an AI were identified from a prospective cohort study at Kaiser Permanente Northern California (KPNC). Data on demographic and lifestyle factors were obtained from in-person interviews, and bone health history and clinical data from KPNC clinical databases. The prevalence of osteoporosis and fractures in postmenopausal AI users was assessed, compared with 325 postmenopausal TAM users. The associations of bone health history with demographic and lifestyle factors in AI users were also examined. Among all initial AI users, 11.2% had a prior history of osteoporosis, 16.3% had a prior history of any fracture, and 4.6% had a prior history of major fracture. Postmenopausal women who were taking TAM as their initial hormonal therapy had significantly higher prevalence of prior osteoporosis than postmenopausal AI users (21.5% vs. 11.8%, p<0.0001). Among initial AI users, the associations of history of osteoporosis and fracture in BC patients with demographic and lifestyle factors were, in general, consistent with those known in healthy older women. This study is one of the first to characterize AI users and risk factors for bone morbidity before BC diagnosis. In the future, this study will examine lifestyle, molecular, and genetic risk factors for AI-induced fractures.     

鼠源性人乳腺癌单链抗体库的构建与乳腺癌相关抗体的筛选

目的:获得乳腺癌的噬菌体呈现型单链抗体(scFv)库,筛选与乳腺癌细胞特异结合的抗体,为乳腺癌的诊断和治疗奠定基础。方法:用乳腺癌细胞系MCF-7、T47D、MDA-MB-435免疫BALB/c小鼠,取脾脏提取总RNA,用RT-PCR分别扩增抗体重、轻链可变区(VH和VL)基因,经Linker连接形成scFv基因片段。将scFv基因片段与噬菌粒载体pCANTAB5E的连接产物转化大肠杆菌TG1。用辅助噬菌体M13KO7进行超感染,获得重组噬菌体抗体。选用乳腺癌细胞系MCF-7和人正常肝细胞系HL02做正负差异的筛选细胞,通过5轮筛选,随机挑取克隆,经phage-ELISA筛选特异性结合MCF-7细胞的scFv。结果:构建了1个库容为1.3×106的单链抗体库。筛选到2株与MCF-7细胞有较高结合活性的噬菌体-单链抗体scFv-873和scFv-874。数据库搜索表明这2株单链抗体基因是与以往抗体序列不同的新基因。用Westernblot检测了这2株单链抗体在琥珀密码子非抑制型菌株TOP10中的表达情况。结论:筛选到2个与乳腺癌细胞结合特异性较好的单链抗体,为乳腺癌的诊断和治疗研究奠定了基础。     

Impact of Risk Factors on Different Interval Cancer Subtypes in a Population-Based Breast Cancer Screening Programme

Background

Interval cancers are primary breast cancers diagnosed in women after a negative screening test and before the next screening invitation. Our aim was to evaluate risk factors for interval cancer and their subtypes and to compare the risk factors identified with those associated with incident screen-detected cancers.

Methods

We analyzed data from 645,764 women participating in the Spanish breast cancer screening program from 2000–2006 and followed-up until 2009. A total of 5,309 screen-detected and 1,653 interval cancers were diagnosed. Among the latter, 1,012 could be classified on the basis of findings in screening and diagnostic mammograms, consisting of 489 true interval cancers (48.2%), 235 false-negatives (23.2%), 172 minimal-signs (17.2%) and 114 occult tumors (11.3%). Information on the screening protocol and women''s characteristics were obtained from the screening program registry. Cause-specific Cox regression models were used to estimate the hazard ratios (HR) of risks factors for interval cancer and incident screen-detected cancer. A multinomial regression model, using screen-detected tumors as a reference group, was used to assess the effect of breast density and other factors on the occurrence of interval cancer subtypes.

Results

A previous false-positive was the main risk factor for interval cancer (HR = 2.71, 95%CI: 2.28–3.23); this risk was higher for false-negatives (HR = 8.79, 95%CI: 6.24–12.40) than for true interval cancer (HR = 2.26, 95%CI: 1.59–3.21). A family history of breast cancer was associated with true intervals (HR = 2.11, 95%CI: 1.60–2.78), previous benign biopsy with a false-negatives (HR = 1.83, 95%CI: 1.23–2.71). High breast density was mainly associated with occult tumors (RRR = 4.92, 95%CI: 2.58–9.38), followed by true intervals (RRR = 1.67, 95%CI: 1.18–2.36) and false-negatives (RRR = 1.58, 95%CI: 1.00–2.49).

Conclusion

The role of women''s characteristics differs among interval cancer subtypes. This information could be useful to improve effectiveness of breast cancer screening programmes and to better classify subgroups of women with different risks of developing cancer.     

Breast Cancer Screening Awareness,Knowledge, and Practice among Arab Women in the United Arab Emirates: A Cross-Sectional Survey

Background

Breast cancer screening can reduce morbidity and mortality and improve the survival rate for this malignancy. Low participation in screening programs has been attributable to many factors including lack of knowledge. The aim of this study was to assess breast cancer screening knowledge, attitudes and practices among women of screening age (≥40 years old) in the city of Al Ain, United Arab Emirates (UAE).

Methods

A cross-sectional survey was conducted in 2013 using the Breast Cancer Awareness Measure (CAM). Four out of twelve cultural and religious community centers in Al Ain city were randomly selected. Two hundred and forty seven women were interviewed. Chi Square test and regression analysis were used to analyze the data.

Results

Despite the increase in the uptake of screening modalities in our study group, a lack of knowledge about breast cancer screening is still evident. Almost half (44.8%) of women who never had a Clinical Breast Exam (CBE) and 44.1% of women who never had a mammography expressed a lack of knowledge about the existence of these screening techniques. Nearly one third of the participants interpreted the presence of a breast lump incorrectly and, moreover, expressed fewer worries about the nature of the lump than would normally be expected.

Conclusions

The National screening program needs to be improved and directed towards more efficient and targeted utilization of resources. Healthcare professionals play a major role in alerting women to the importance of periodic screening.     

Feasibility of Breast Cancer Screening by PIXE Analysis of Hair

To reveal the role of key elements present in the hair of breast cancer patients on cancer development, the levels of a number of elements in scalp hair samples of 82 people including healthy individuals, people suffering from benign breast disease, and breast cancer patients were measured by PIXE analysis. Pellets of hair samples were prepared and bombarded by 2.2 MeV proton beam of a 3-MV Van de Graaff accelerator. The number of incident ions hitting the sample was indirectly measured using the RBS spectrum of a thin Ag film placed in the beam path. The concentrations of S, Cl, K, Ca, Fe, and Cu in the hair of healthy individuals were in agreement with those observed in the hair of hyperplasia and cancer patients within standard deviations. However, a lower average level of zinc was found in samples from hyperplasia and breast cancer patients. Strong positive correlations were found between iron and potassium as well as between calcium and potassium in the cancer patients. These results could be of significance in the screening for breast cancer.     

乳腺癌干细胞和乳腺癌

肿瘤干细胞既包含干细胞的特性也包含肿瘤细胞的特性。乳腺癌起源于乳腺癌干细胞的说法能够合理地解释乳腺癌的不均一性及其治疗后的复发,这些变异的干细胞可能作为肿瘤预防策略的靶标。而且,由于乳腺癌干细胞能够抵抗辐射治疗和化学治疗,所以要想更好地治疗乳腺癌就需要寻找针对这些干细胞的靶标。我们综述了乳腺癌干细胞的发现、富集和分离、相关的信号途径,以及在乳腺癌治疗中的应用。     

联合TCGA和GEO数据库筛选乳腺癌易感基因

本研究是利用公共基因芯片数据库筛选乳腺癌的预后基因,预测和探索这些基因在乳腺癌进展中的可能机制和临床价值.首先,我们筛选了公共基因芯片数据库(gene expression omnibus,GEO)GSE22820和癌症基因组图谱(the cancer genome atlas,TCGA)乳腺癌数据库的重叠差异表达基因,联合R语言分析乳腺癌组织与癌旁正常组织差异表达的基因;其次,基于STRING数据库及Cytoscape软件构建蛋白质相互作用网络图,分析并识别了中枢基因和前3个模块;之后进行了更多的功能分析,包括基因本体(gene ontology,GO)和京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes,KEGG)通路分析以及基因集富集分析(gene set enrichment analysis,GSEA),以研究这些基因的作用以及潜在的潜在机制;最后进行了Kaplan-Meier分析和Cox比例风险分析,以阐明这些基因的诊断和预后效果.相关数据分析表明15个基因的表达水平与生存预后相关,高表达基因患者的总生存时间短于低表达患者(P＜0.05);Cox比例风险分析表明UBE2T、ER-CC6L和RAD51这3个基因是预后生存的独立因素(P＜0.05);GSEA分析表明在UBE2T、ERCC6L和RAD51基因中细胞周期、基础转录因子和卵母细胞减数分裂明显富集.最终,我们得出结论,这3种基因标志物的高表达是乳腺癌预后不良因素,可作为预测乳腺癌患者转移和预后的有效生物标志物.     

Predictors of Non-Adherence to Breast Cancer Screening among Hospitalized Women

Objective

Disparities in screening mammography use persists among low income women, even those who are insured, despite the proven mortality benefit. A recent study reported that more than a third of hospitalized women were non-adherent with breast cancer screening. The current study explores prevalence of socio-demographic and clinical variables associated with non-adherence to screening mammography recommendations among hospitalized women.

Patients and Methods

A cross sectional bedside survey was conducted to collect socio-demographic and clinical comorbidity data thought to effect breast cancer screening adherence of hospitalized women aged 50–75 years. Logistic regression models were used to assess the association between these factors and non-adherence to screening mammography.

Results

Of 250 enrolled women, 61% were of low income, and 42% reported non-adherence to screening guidelines. After adjustment for socio-demographic and clinical predictors, three variables were found to be independently associated with non-adherence to breast cancer screening: low income (OR = 3.81, 95%CI; 1.84–7.89), current or ex-smoker (OR = 2.29, 95%CI; 1.12–4.67), and history of stroke (OR = 2.83, 95%CI; 1.21–6.60). By contrast, hospitalized women with diabetes were more likely to be compliant with breast cancer screening (OR = 2.70, 95%CI 1.35–5.34).

Conclusion

Because hospitalization creates the scenario wherein patients are in close proximity to healthcare resources, at a time when they may be reflecting upon their health status, strategies could be employed to counsel, educate, and motivate these patients towards health maintenance. Capitalizing on this opportunity would involve offering screening during hospitalization for those who are overdue, particularly for those who are at higher risk of disease.     

Breast Cancer Screening in Saudi Arabia: Free but Almost No Takers

Introduction

Mammography ensures early diagnosis and a better chance for treatment and recovery from breast cancer. We conducted a national survey to investigate knowledge and practices of breast cancer screening among Saudi women aged 50 years or older in order to inform the breast cancer national health programs.

Materials and Methods

The Saudi Health Interview Survey is a national multistage survey of individuals aged 15 years or older. The survey included questions on socio-demographic characteristics, tobacco consumption, diet, physical activity, health-care utilization, different health-related behaviors, and self-reported chronic conditions. Female respondents were asked about knowledge and practices of self and clinical breast exams, as well as mammography.

Results

Between April and June 2013, a total of 10,735 participants completed the survey. Among respondents, 1,135 were women aged 50 years or older and were included in this analysis. About 89% of women reported not having a clinical breast exam in the past year, and 92% reported never having a mammogram. Women living in Al Sharqia had the highest rate of mammography use. Women who were educated, those who had received a routine medical exam within the last two years, and those who were diagnosed with hypertension were more likely to have had a mammogram in the past two years.

Discussion

Our results show very low rates of breast cancer screening in the Kingdom of Saudi Arabia, a country with free health services. This calls for educational campaigns to improve breast cancer screening. Addressing the barriers for breast cancer screening is a public health imperative.     

Risk-Specific Optimal Cancer Screening Schedules: An Application to Breast Cancer Early Detection

The optimal schedules for breast cancer screening in terms of examination frequency and ages at examination are of practical interest. A decision-theoretic approach is explored to search for optimal cancer screening programs which should achieve maximum survival benefit while balancing the associated cost to the health care system. We propose a class of utility functions that account for costs associated with screening examinations and value of survival benefit under a non-stable disease model. We consider two different optimization criteria: optimize the number of screening examinations with equal screening intervals between exams but without a prefixed total cost; and optimize the ages at which screening should be given for a fixed total cost. We show that an optimal solution exists under each of the two frameworks. The proposed methods may consider women at different levels of risk for breast cancer so that the optimal screening strategies will be tailored according to a woman’s risk of developing the disease. Results of a numerical study are presented and the proposed models are illustrated with various data inputs. We also use the data inputs from the Health Insurance Plan of New York (HIP) and Canadian National Breast Screening Study (CNBSS) to illustrate the proposed models and to compare the utility values between the optimal schedules and the actual schedules in the HIP and CNBSS trials. Here, the utility is defined as the difference in cure rates between cases found at screening examinations and cases found between screening examinations while accounting for the cost of examinations, under a given screening schedule.     

Comparing Visually Assessed BI-RADS Breast Density and Automated Volumetric Breast Density Software: A Cross-Sectional Study in a Breast Cancer Screening Setting

Introduction

The objective of this study is to compare different methods for measuring breast density, both visual assessments and automated volumetric density, in a breast cancer screening setting. These measures could potentially be implemented in future screening programmes, in the context of personalised screening or screening evaluation.

Materials and Methods

Digital mammographic exams (N = 992) of women participating in the Dutch breast cancer screening programme (age 50–75y) in 2013 were included. Breast density was measured in three different ways: BI-RADS density (5^th edition) and with two commercially available automated software programs (Quantra and Volpara volumetric density). BI-RADS density (ordinal scale) was assessed by three radiologists. Quantra (v1.3) and Volpara (v1.5.0) provide continuous estimates. Different comparison methods were used, including Bland-Altman plots and correlation coefficients (e.g., intraclass correlation coefficient [ICC]).

Results

Based on the BI-RADS classification, 40.8% of the women had ‘heterogeneously or extremely dense’ breasts. The median volumetric percent density was 12.1% (IQR: 9.6–16.5) for Quantra, which was higher than the Volpara estimate (median 6.6%, IQR: 4.4–10.9). The mean difference between Quantra and Volpara was 5.19% (95% CI: 5.04–5.34) (ICC: 0.64). There was a clear increase in volumetric percent dense volume as BI-RADS density increased. The highest accuracy for predicting the presence of BI-RADS c+d (heterogeneously or extremely dense) was observed with a cut-off value of 8.0% for Volpara and 13.8% for Quantra.

Conclusion

Although there was no perfect agreement, there appeared to be a strong association between all three measures. Both volumetric density measures seem to be usable in breast cancer screening programmes, provided that the required data flow can be realized.     

Volume of screening mammography and performance in the Quebec population-based Breast Cancer Screening Program

Background

In the Quebec Breast Cancer Screening Program (Programme québécois de dépistage du cancer du sein [PQDCS]), radiologists'' and facilities'' volumes of screening mammography vary considerably. We examined the relation of screening-mammography volume to rates of breast cancer detection and false-positive readings in the PQDCS.

Methods

The study population included 307 314 asymptomatic women aged 50–69 years screened during 1998–2000. Breast cancer detection rates were analyzed by comparing all women with screening-detected breast cancer (n = 1709) and a 10% random sample of those without (n = 30 560). False-positive rates were analyzed by comparing the 3159 women with false-positive readings and the 27 401 others in the 10% random sample. Characteristics of participants, radiologists and facilities were obtained from the PQDCS information system. Data were analyzed by means of logistic regression.

Results

The rate of breast cancer detection appeared to be unrelated to the radiologist''s screening-mammography volume but increased with the facility''s screening-mammography volume. The breast cancer detection rate ratio for facilities performing 4000 or more screenings per year, compared with those performing fewer than 2000, was 1.28 (95% confidence interval [CI] 1.07–1.52). In contrast, the frequency of false-positive readings was unrelated to the facility''s screening volume but was inversely related to the radiologist''s screening volume: the rate ratio for readers of 1500 or more screenings per year compared with those reading fewer than 250 was 0.53 (95% CI 0.35–0.79).

Interpretation

Radiologists'' and facilities'' caseloads showed independent and complementary associations with performance of screening mammography in the PQDCS. Radiologists who worked in larger facilities and read more screening mammograms had higher breast cancer detection rates while maintaining lower false-positive rates.Caseload of health care providers and organizations has been linked with performance.^1,2,3,4 Providers with larger volumes of patients or procedures have often been shown to have better outcomes.^2,5 However, a recent comprehensive review of the literature underlined the methodologic limitations of published studies, especially poor adjustment for case mix and failure to account for characteristics of providers and organizations simultaneously.⁶The population-based Quebec Breast Cancer Screening Program (Programme québécois de dépistage du cancer du sein [PQDCS]), launched in 1998, follows the North American standard of a minimum annual reading volume of 480 mammographic examinations (diagnostic and screening combined) for each collaborating radiologist.⁷ In addition, facilities in urban areas have to perform at least 4000 diagnostic or screening examinations each year to be eligible for the program.⁸ However, there is a large variability in radiologists'' and facilities'' volumes of screening examinations.The objective of our study was to assess whether differences in screening volume were associated with rates of breast cancer detection and of false-positive readings. We examined the separate and combined effects of radiologists'' and facilities'' screening-mammography volumes.     

Mutation Screening of 1,237 Cancer Genes across Six Model Cell Lines of Basal-Like Breast Cancer

Basal-like breast cancer is an aggressive subtype generally characterized as poor prognosis and lacking the expression of the three most important clinical biomarkers, estrogen receptor, progesterone receptor, and HER2. Cell lines serve as useful model systems to study cancer biology in vitro and in vivo. We performed mutational profiling of six basal-like breast cancer cell lines (HCC38, HCC1143, HCC1187, HCC1395, HCC1954, and HCC1937) and their matched normal lymphocyte DNA using targeted capture and next-generation sequencing of 1,237 cancer-associated genes, including all exons, UTRs and upstream flanking regions. In total, 658 somatic variants were identified, of which 378 were non-silent (average 63 per cell line, range 37–146) and 315 were novel (not present in the Catalogue of Somatic Mutations in Cancer database; COSMIC). 125 novel mutations were confirmed by Sanger sequencing (59 exonic, 48 3’UTR and 10 5’UTR, 1 splicing), with a validation rate of 94% of high confidence variants. Of 36 mutations previously reported for these cell lines but not detected in our exome data, 36% could not be detected by Sanger sequencing. The base replacements C/G>A/T, C/G>G/C, C/G>T/A and A/T>G/C were significantly more frequent in the coding regions compared to the non-coding regions (OR 3.2, 95% CI 2.0–5.3, P<0.0001; OR 4.3, 95% CI 2.9–6.6, P<0.0001; OR 2.4, 95% CI 1.8–3.1, P<0.0001; OR 1.8, 95% CI 1.2–2.7, P = 0.024, respectively). The single nucleotide variants within the context of T[C]T/A[G]A and T[C]A/T[G]A were more frequent in the coding than in the non-coding regions (OR 3.7, 95% CI 2.2–6.1, P<0.0001; OR 3.8, 95% CI 2.0–7.2, P = 0.001, respectively). Copy number estimations were derived from the targeted regions and correlated well to Affymetrix SNP array copy number data (Pearson correlation 0.82 to 0.96 for all compared cell lines; P<0.0001). These mutation calls across 1,237 cancer-associated genes and identification of novel variants will aid in the design and interpretation of biological experiments using these six basal-like breast cancer cell lines.