Deprivation and mass screening: Survival of women diagnosed with breast cancer in France from 2008 to 2010

BackgroundSome studies have investigated the role of socio-demographic inequalities in the association between screening and survival. However, in France, no study has been conducted to describe the socio-demographic characteristics and survival of women with breast cancer based on their participation to mass screening. The aim of this study was to assess the impact of socio-demographic inequalities on the association between participation in mass screening program and survival of women with breast cancer.MethodsData for 2,244 women aged 50–74 years diagnosed with breast cancer over the period 2008–2010 were obtained from the cancer registry and the screening structure of Gironde. We used the aggregated European Deprivation Index (EDI) to define the deprivation level of women. Net survival rates were estimated with the Pohar-Perme method, with and without correcting for lead-time bias.ResultsSurvival rates were lower for non-attenders than for screen-detected women (83.8% vs 97.3%, p < 0.0001), even after correcting for lead-time bias. Among the most deprived women, the survival rate was significantly different between non-attenders and screen-detected women (78.1% vs 95.6%, p = 0.0002), suggesting an important effect of mass screening in this group.ConclusionThe introduction of incentive actions in deprived areas could play a key role in the adherence of women to mass screening and in improving their survival in case of a breast cancer diagnosis.     

Survival after breast cancer according to participation in organised or opportunistic screening and deprivation

BackgroundMany studies have investigated the survival of women by comparing those who participated in organised screening with those who did not. However, among those who do not participate in organised screening, some women undergo opportunistic screening, but these women remain difficult to identify, particularly in France. Therefore, the aim of this study was to identify opportunistic screening, and then to study survival after breast cancer separately according to participation in organised, opportunistic or no screening, and taking into account sociodemographic inequalities.MethodsThe study population was identified from 3 French cancer registries, whose data was crossed with the screening coordination centers and the National Health Data System to identify the different type of screening. The European Deprivation Index was used to define the level of deprivation. We estimated net survival using the Pohar-Perme method.ResultsThe 5-year net survival probabilities were higher for women who attended organised screening (97.0 %) than for women with opportunistic screening (94.1 %) or non-attenders (78.1 %). According to the level of deprivation, a significant difference was observed between the groups of women screened by organised and opportunistic screening, compared to the non-attenders.ConclusionThe identification of opportunistic screening is an important element in identifying women who do not screening. It enables to us to see that women who do not attend any screening have a much higher loss-of-opportunity in terms of survival than those who participate in organised or opportunistic screening, and even more so in the most deprived areas.     

乳腺癌早期筛查和诊断生物标志物研究进展

2020年全球乳腺癌(breast cancer,BC)新发病例达226万例,占全部肿瘤新发病例的11.7%,是全世界发病率最高的癌症。早期发现、早期诊断和早期治疗是降低乳腺癌死亡率及改善预后的关键。尽管乳房X光筛查被广泛用作乳腺癌筛查的工具,但其假阳性、辐射性和过度诊断仍是亟待解决的问题。因此,亟需开发易于获取且稳定可靠的生物标志物,用于乳腺癌无创筛查和诊断。近年来多项研究显示来自乳腺癌患者血液中的循环肿瘤细胞DNA(circulating tumor cell DNA,ctDNA)、癌胚抗原(carcinoembryonic antigen,CEA)、糖类抗原15-3(carbohydrate antigen 15-3,CA15-3)、细胞外囊泡(extracellular vesicles,EV)、循环miRNA和BRCA基因突变等生物标志物,以及来自人体尿液、呼出气体(volatile organic compounds,VOCs)和乳头吸出液(nipple aspirate fluid,NAF)中的磷脂、miRNA、苯乙酮和十六烷等多种生物标志物与乳腺癌早期筛查和诊断密切相关。本文综述了上述生物标志物在乳腺癌早期筛查和诊断中的应用。     

Marginal variable screening for survival endpoints

When performing survival analysis in very high dimensions, it is often required to reduce the number of covariates using preliminary screening. During the last years, a large number of variable screening methods for the survival context have been developed. However, guidance is missing for choosing an appropriate method in practice. The aim of this work is to provide an overview of marginal variable screening methods for survival and develop recommendations for their use. For this purpose, a literature review is given, offering a comprehensive and structured introduction to the topic. In addition, a novel screening procedure based on distance correlation and martingale residuals is proposed, which is particularly useful in detecting nonmonotone associations. For evaluating the performance of the discussed approaches, a simulation study is conducted, comparing the true positive rates of competing variable screening methods in different settings. A real data example on mantle cell lymphoma is provided.     

E-cadherin deregulation in breast cancer

E-cadherin protein (CDH1 gene) integrity is fundamental to the process of epithelial polarization and differentiation. Deregulation of the E-cadherin function plays a crucial role in breast cancer metastases, with worse prognosis and shorter overall survival. In this narrative review, we describe the inactivating mechanisms underlying CDH1 gene activity and its possible translation to clinical practice as a prognostic biomarker and as a potential targeted therapy.     

Organizational challenges to equity in the delivery of services within a new personalized risk-based approach to breast cancer screening

Emerging evidence opens new possibilities to improve current breast cancer mammography screening programs. One promising avenue is to tailor mammography screening according to individual risk. However, some factors could challenge the implementation of such approach, specifically its potential impact on the equitable delivery of services. This study aims to identify the barriers and facilitators to the equitable delivery of services within a future integration of a personalized approach in the Québec screening program. We then propose different means to address them. We conducted 16 semi-structured interviews with stakeholders with a role in the management, implementation or assessment of the Québec screening program. The barriers and facilitators identified by respondents were regrouped in two themes: 1) Reproduction of social inequities, and 2) Amplification of regional disparities in access to services. We consider that fostering inclusion through communication strategies and relying on electronic communication technologies could help in addressing these issues.     

Model-free conditional screening for ultrahigh-dimensional survival data via conditional distance correlation

How to select the active variables that have significant impact on the event of interest is a very important and meaningful problem in the statistical analysis of ultrahigh-dimensional data. In many applications, researchers often know that a certain set of covariates are active variables from some previous investigations and experiences. With the knowledge of the important prior knowledge of active variables, we propose a model-free conditional screening procedure for ultrahigh dimensional survival data based on conditional distance correlation. The proposed procedure can effectively detect the hidden active variables that are jointly important but are weakly correlated with the response. Moreover, it performs well when covariates are strongly correlated with each other. We establish the sure screening property and the ranking consistency of the proposed method and conduct extensive simulation studies, which suggests that the proposed procedure works well for practical situations. Then, we illustrate the new approach through a real dataset from the diffuse large-B-cell lymphoma study S1 .     

Survival analysis for long noncoding RNAs identifies TP53TG1 as an antioncogenic target for the breast cancer

Breast carcinoma is one of the most commonly diagnosed tumors and also one of the deadliest cancers in the female. Long noncoding RNAs (lncRNAs) are emerging as novel targets and biomarkers for breast cancer diagnosis and treatment. In this study, we aimed to study the lncRNAs associated with the outcomes in patients using the breast invasive carcinoma datasets from The Cancer Genome Atlas. The Cox proportional hazards regression model was fitted to each lncRNA. Hierarchy clustering was carried out using these survival-related lncRNAs and the log-rank test was carried out for the clustered groups. DNA methylation status was utilized to identify the lncRNAs regulated by epigenetics. Finally, the coexpressed messenger RNA with the potential lncRNAs were utilized to study the possible functions and mechanisms of lncRNAs. In total, 182 lncRNAs had an impact on the survival time of the patients with a cutoff <0.01. The patients were clustered into three groups using these survival-related genes, which performed significantly different prognosis. Two lncRNAs, which were significantly correlated with the outcomes of breast cancer and were regulated by methylation status, were obtained. These two lncRNAs were TP53TG1 and RP5-1061H20.4. We proposed that TP53TG1 was activated by the wild-type TP53 and performed an impact on the PI3Ks family by binding YBX2 in breast cancer.     

Metabolic reprogramming-associated genes predict overall survival for rectal cancer

Metabolic reprogramming has become a hot topic recently in the regulation of tumour biology. Although hundreds of altered metabolic genes have been reported to be associated with tumour development and progression, the important prognostic role of these metabolic genes remains unknown. We downloaded messenger RNA expression profiles and clinicopathological data from The Cancer Genome Atlas and the Gene Expression Omnibus database to uncover the prognostic role of these metabolic genes. Univariate Cox regression analysis and lasso Cox regression model were utilized in this study to screen prognostic associated metabolic genes. Patients with high-risk demonstrated significantly poorer survival outcomes than patients with low-risk in the TCGA database. Also, patients with high-risk still showed significantly poorer survival outcomes than patients with low-risk in the GEO database. What is more, gene set enrichment analyses were performed in this study to uncover significantly enriched GO terms and pathways in order to help identify potential underlying mechanisms. Our study identified some survival-related metabolic genes for rectal cancer prognosis prediction. These genes might play essential roles in the regulation of metabolic microenvironment and in providing significant potential biomarkers in metabolic treatment.     

Assessment of lead-time bias in estimates of relative survival for breast cancer

Relative survival ratios (RSRs) can be useful for evaluating the impact of changes in cancer care on the prognosis of cancer patients or for comparing the prognosis for different subgroups of patients, but their use is problematic for cancer sites where screening has been introduced due to the potential of lead-time bias. Lead-time is survival time that is added to a patient's survival time because of an earlier diagnosis irrespective of a possibly postponed time of death. In the presence of screening it is difficult to disentangle how much of an observed improvement in survival is real and how much is due to lead-time bias. Even so, RSRs are often presented for breast cancer, a site where screening has led to early diagnosis, with the assumption that the lead-time bias is small. We describe a simulation-based framework for studying the lead-time bias due to mammography screening on RSRs of breast cancer based on a natural history model developed in a Swedish setting. We have performed simulations, using this framework, under different assumptions for screening sensitivity and breast cancer survival with the aim of estimating the lead-time bias. Screening every second year among ages 40–75 was introduced assuming that screening had no effect on survival, except for lead-time bias. Relative survival was estimated both with and without screening to enable quantification of the lead-time bias. Scenarios with low, moderate and high breast cancer survival, and low, moderate and high screening sensitivity were simulated, and the lead-time bias assessed in all scenarios.     

A monoclonal antibody driven biodiagnostic system for the quantitative screening of breast cancer

A prospective clinical parametric study comprising women afflicted by breast cancer and otherwise healthy participants was undertaken. The mean plasmatic concentration of putative leucine amino peptidase and nucleoside diphosphate phosphotransferase enzymatic complex in breast cancer cases was significantly elevated [43.9 +/- 2.8 microg ml(-1) (n = 9)] when compared to those found in otherwise healthy women [8.07 +/- 0.14 microg ml(-1) (n = 8)]. Women without images compatible with any tumours (n = 13) had a mean concentration of 10.77 +/- 1.49 microg ml(-1). The mean value obtained in women with fibroadenomas was 10.15 +/- 0.81 microg ml(-1) (n = 6) and with cystic fibrosis mastopathy 8.75 +/- 0.28 microg ml(-1) (n = 7). The efficacy of a tandem quantitative biodiagnostic system as a parametric screening tool for the early detection of breast cancer is underlined, raising the possibility of increasing the cost effectiveness of current imaging non-parametric technologies.     

Genetic improvement of laying hens viability using survival analysis

The survival of about eight generations of a large strain of laying hens was analysed separating the rearing period (RP) from the production period (PP), after hens were housed. For RP (respectively PP), 97.8% (resp., 94.1% ) of the 109 160 (resp., 100 665) female records were censored after 106 days (resp., 313 days) on the average. A Cox proportional hazards model stratified by flock (= season) and including a hatch-within-flock (HWF) fixed effect seemed to reasonably fit the RP data. For PP, this model could be further simplified to a non-stratified Weibull model. The extension of these models to sire-dam frailty (mixed) models permitted the estimation of the sire genetic variances at 0.261 ± 0.026 and 0.088 ± 0.010 for RP and PP, respectively. Heritabilities on the log scale were equal to 0.48 and 0.19. Non-additive genetic effects could not be detected. Selection was simulated by evaluating all sires and dams, after excluding all records from the last generation. Then, actual parents of this last generation were distributed into four groups according to their own pedigree index. Raw survivor curves of the progeny of extreme parental groups substantially differed (e.g., by 1.7% at 300 days for PP), suggesting that selection based on solutions from the frailty models could be efficient, despite the very large proportion of censored records.     

Pharmacological screening and transcriptomic functional analyses identify a synergistic interaction between dasatinib and olaparib in triple-negative breast cancer

Identification of druggable vulnerabilities is a main objective in triple-negative breast cancer (TNBC), where no curative therapies exist. Gene set enrichment analyses (GSEA) and a pharmacological evaluation using a library of compounds were used to select potential druggable combinations. MTT and studies with semi-solid media were performed to explore the activity of the combinations. TNBC cell lines (MDAMB-231, BT549, HS-578T and HCC3153) and an additional panel of 16 cell lines were used to assess the activity of the two compounds. Flow cytometry experiments and biochemical studies were also performed to explore the mechanism of action. GSEA were performed using several data sets (GSE21422, GSE26910, GSE3744, GSE65194 and GSE42568), and more than 35 compounds against the identified functions were evaluated to discover druggable opportunities. Analyses done with the Chou and Talalay algorithm confirmed the synergy of dasatinib and olaparib. The combination of both agents significantly induced apoptosis in a caspase-dependent manner and revealed a pleotropic effect on cell cycle: Dasatinib arrested cells in G0/G1 and olaparib in G2/M. Dasatinib inhibited pChk1 and induced DNA damage measured by pH2AX, and olaparib increased pH3. Finally, the effect of the combination was also evaluated in a panel of 18 cell lines representative of the most frequent solid tumours, observing a particularly synergism in ovarian cancer. Breast cancer, triple negative, dasatinib, olaparib, screening.     

Estimating and modeling the cure fraction in population-based cancer survival analysis

In population-based cancer studies, cure is said to occur when the mortality (hazard) rate in the diseased group of individuals returns to the same level as that expected in the general population. The cure fraction (the proportion of patients cured of disease) is of interest to patients and is a useful measure to monitor trends in survival of curable disease. There are 2 main types of cure fraction model, the mixture cure fraction model and the non-mixture cure fraction model, with most previous work concentrating on the mixture cure fraction model. In this paper, we extend the parametric non-mixture cure fraction model to incorporate background mortality, thus providing estimates of the cure fraction in population-based cancer studies. We compare the estimates of relative survival and the cure fraction between the 2 types of model and also investigate the importance of modeling the ancillary parameters in the selected parametric distribution for both types of model.     

Perioperative blood transfusion is associated with poorer survival in patients with gastric cancer

The putative prognostic significance of perioperative blood transfusions on gastric cancers is controversial and the published results are contradictory. The aim of this study was to evaluate the prognostic influence of transfusion on Chinese gastric cancer surgery. Six hundreds and seventy-six patients who underwent curative gastrectomy for gastric cancer from 2000 to 2004 were retrospectively reviewed. Uni- and multivariate analyses of the incidence and amount of transfusion, and a comparison of the clinicopathological features were performed. Subgroup analyses of prognosis according to stage, tumor size, and pretreatment anemia were carried out. Blood transfusion was significantly associated with older age (>60 year), larger tumor (>6 cm), upper and middle location, surgical margin status, and pretreatment anemia. In addition, tumors in the transfused group were more advanced in depth of invasion, nodal stage, and TNM stage. No significant relationship was found between the amount of transfused blood and prognosis. Subgroup analyses of prognosis according to stage showed significant differences in stages II and III, between the transfused and nontransfused groups. Significant difference between the transfused and nontransfused groups could be observed in two subgroups of tumor size. Patients with or without anemia in the nontransfused group both had a longer survival time than those in the transfused group. On multivariate analysis, transfusion was shown to be an independent risk factor for poor prognosis. This study suggests that perioperative blood transfusion is associated with a significantly worse prognosis following gastric cancer surgery. The parameters such as advanced stage, tumor size, and anemia do not affect its prognostic value.     

Differences in cancer incidence by age at diagnosis between Aboriginal and non-Aboriginal people for cancer types included in Australian national screening programs

BackgroundThis study examined age distributions and age-specific incidence of screened cancers by Aboriginal status in New South Wales (NSW) to consider the appropriateness of screening target age ranges.MethodsThe NSW Cancer Registry identified invasive (female) breast, cervical and bowel cancers in people diagnosed in 2001–2014.ResultsAboriginal people were younger at diagnosis with higher proportions of breast and bowel cancers diagnosed before the screening target age range (<50 years) compared with non-Aboriginal people (30.6% vs. 22.8%, and 17.3% vs. 7.3%, respectively). Age-specific incidence rate ratios (IRRs) were lower/similar for breast and bowel cancers in younger and higher in older Aboriginal than non-Aboriginal people. All age-specific cervical cancer IRRs were higher for Aboriginal compared with non-Aboriginal people.ConclusionAlthough higher proportions of breast and colorectal cancers were diagnosed before screening commencement age in Aboriginal people, this does not necessarily indicate a need for earlier screening commencement. Other aspects needing consideration include benefits, harms and cost-effectiveness.     

A multi‐wavelength,laser‐based optical spectroscopy device for breast density and breast cancer risk pre‐screening

Optical Breast Spectroscopy (OBS) has been shown to predict mammographic breast density, a strong breast cancer risk factor. OBS is a low‐cost technique applicable at any age. OBS information may be useful for personalizing breast cancer screening programs based on risk to improve consensus on and adherence to screening guidelines. To facilitate the use of OBS in population‐wide studies, a research prototype OBS device was modified to make it portable and cheaper and to require less operator interaction. Two major changes were made: (1) the broadband light source was replaced with a laser module with 13 individual wavelengths turned on sequentially, enabling the use of photodiode detectors instead of a spectrometer, and (2) the light sources and detectors were placed in fixed positions within 4 sizes of cup, eliminating the need for placement by the operator. Wavelengths were selected using data from two previous studies. The reduction in spectral content did not significantly reduce the ability to distinguish between different risk groups. Positions for the light sources and detectors were chosen based on Monte Carlo simulations to match the optically interrogated volumes of the original device. Two light sources and six detectors per cup were used in the final design.

     

Use of risk-based cervical screening programs in resource-limited settings

Cervical cancer screening and management in the U.S. has adopted a risk-based approach. However, the majority of cervical cancer cases and deaths occur in resource-limited settings, where screening and management are not widely available. We describe a conceptual model that optimizes cervical cancer screening and management in resource-limited settings by utilizing a risk-based approach. The principles of risk-based screening and management in resource limited settings include (1) ensure that the screening method effectively separates low-risk from high-risk patients; (2) directing resources to populations at the highest cancer risk; (3) screen using HPV testing via self-sampling; (4) utilize HPV genotyping to improve risk stratification and better determine who will benefit from treatment, and (5) automated visual evaluation with artificial intelligence may further improve risk stratification. Risk-based screening and management in resource limited settings can optimize prevention by focusing triage and treatment resources on the highest risk patients while minimizing interventions in lower risk patients.