Breast cancer in elderly women and altered clinico-pathological characteristics: a systematic review

Patient-reported factors influencing the treatment decision-making process of older women with non-metastatic breast cancer: a systematic review of qualitative evidence

PURPOSE

Older women (≥ 70 years old) with breast cancer undergo different treatments than young women. Studies have examined factors that influence this disparity, but synthesized patient-reported data are lacking in the literature. This study aims to identify, appraise, and synthesize the existing qualitative evidence on patient-reported factors influencing older women's decision to accept or decline breast cancer treatment.

METHODS

A systematic review was performed in accordance with Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA) principles. Medline, Embase, CINAHL, and PsycINFO were searched for qualitative studies describing patient-reported factors influencing the decision-making process of older women (≥ 70 years old) with non-metastatic invasive breast cancer. Quality was assessed using the Standards for Reporting Qualitative Research (SRQR) criteria. Common ideas were coded, thematically organized, and synthesized within a theoretical framework.

RESULTS

Of 5998 studies identified, 10 met eligibility criteria. The median SRQR total score was 13.04 (IQR 12.84-13.81). The studies represented a range of cancer treatments; most of the studies focused on surgery and primary endocrine therapy. Our data show that the most common patient-reported factors in the decision-making process included treatment characteristics, personal goals/beliefs, patient characteristics, physician's recommendation, and personal/family experience. These factors led the patient to either accept or decline treatment, and were not consistent across all studies included. Studies used different interview guides, which may have affected these results.

CONCLUSIONS

This systematic review highlights the complexity of factors that influence an older woman's treatment decision-making process. Acknowledging and addressing these factors may improve discussions about treatment choices between older women and their health care providers, and encourage maximization of a patient-centered approach.

The Association between Age, Comorbidities and Use of Radiotherapy in Women with Breast Cancer: Implications for Survival

Background: Radiotherapy (RT) plays an important role in the management and survival of patients with breast cancer. The aim of this study was to examine the association between age, comorbidities and use of RT in this population. Methods: Patients diagnosed with breast cancer from 2004⁻2013 were identified from the American College of Surgeons National Cancer Database (NCDB). Follow-up time was measured from the date of diagnosis (baseline) to the date of death or censoring. Adjusted hazard ratios (aHR) and 95% confidence intervals (95% CI) were used as the measure of association. Results: Independently of comorbidities and other important outcome-related factors, patients >65 years of age who received RT survived significantly longer than those who did not receive RT (aHR = 0.53, 95% CI = 0.52⁻0.54). However, as women aged, those with comorbidities were less likely to receive RT (adjusted p-trend by age < 0.0001). Conclusions: The development of decision-making tools to assist clinicians, and older women with breast cancer and comorbidities, are needed to facilitate personalized treatment plans regarding RT. This is particularly relevant as the population ages and the number of women with breast cancer is expected to increase in the near future.

Observational study of coagulation activation in early breast cancer: development of a prognostic model based on data from the real world setting

Background

Cancer and coagulation activation are tightly related. The extent to which factors related to both these pathologic conditions concur to patient prognosis intensely animates the inherent research areas. The study herein presented aimed to the development of a tool for the assessment and stratification of risk of death and disease recurrence in early breast cancer.

Methods

Between 2008 and 2010, two hundreds thirty-five (N: 235) patients diagnosed with stage I–IIA breast cancer were included. Data on patient demographics and clinic-pathologic features were collected in course of face-to-face interviews or actively retrieved from clinical charts. Plasma levels of plasminogen activator inhibitor type 1 (PAI-1), fragment 1 + 2 (F1 + 2), thrombin antithrombin complex (TAT), factor VIII (FVIII), and D-dimer (DD) were measured at breast cancer diagnosis and prior to any therapeutic procedure, including breast surgery. The risk of death was computed in terms of overall survival (OS), which was the primary outcome. For a subset of patients (N = 62), disease free survival (DFS) was also assessed as a measure of risk of disease recurrence.

Results

Median follow up was 95 months (range 6–112 months). Mean age at diagnosis was 60.3 ± 13.4 years. Cancer cases were more commonly intraductal carcinomas (N: 204; 86.8%), pT1 (131; 55.7%), pN0 (141; 60%) and G2 (126; 53.6%). Elevated levels of PAI-1 (113; 48.1%) represented the most frequent coagulation abnormality, followed by higher levels of F1 + 2 (97; 41.3%), DD (63; 27.0%), TAT (34; 40%), and FVIII (29; 12.3%). In univariate models of OS, age, pT, DD, FVIII were prognostically relevant. In multivariate models of OS, age (p = 0.043), pT (p = 0.001), levels of DD (p = 0.029) and FVIII (p = 0.087) were confirmed. In the smaller subgroup of 62 patients, lymph node involvement, percent expression of estrogen receptors and levels of FVIII impacted DFS significantly.

Conclusions

We developed a risk assessment tool for OS including patient- and cancer-related features along with biomarkers of coagulation activation in a cohort of early BC patients. Further studies are warranted to validate our prognostic model in the early setting and eventually extend its application to risk evaluation in the advanced setting for breast and other cancers.

Electronic supplementary material

The online version of this article (10.1186/s12967-018-1511-x) contains supplementary material, which is available to authorized users.

Molecular features in young vs elderly breast cancer patients and the impacts on survival disparities by age at diagnosis

Young and elderly breast cancer patients are more likely to have a poorer outcome than middle‐aged patients. The intrinsic molecular features for this disparity are unclear. We obtained data from the Cancer Genome Atlas (TCGA) on May 15, 2017 to test the potential mediation effects of the molecular features on the association between age and prognosis with a four‐step approach. The relative contributions of the molecular features (PAM50 subtype, risk stratification, DNAm age, and mutations in TP53,PIK3CA,MLL3,CDH1,GATA3, and MAP3K1) to age disparities in survival were estimated by Cox proportional hazard models with or without the features. Young patients were significantly more likely to have basal‐like subtype, GATA3 mutations, and younger DNA methylation (DNAm) age than middle‐aged patients (P < .05). Both the young and elderly patients had a significantly increased risk of breast cancer recurrence after adjusted by race, tumor size, and node status (Hazard ratio [HR] (95% confidence interval [CI]): 2.81 [1.44, 5.45], 2.37 [1.45, 3.89], respectively). This increased risk was weakened in the young patients after further adjustments in the molecular features, particularly basal‐like subtype, GATA3 mutations, and DNAm age (HR [95%CI]: 1.87 [0.81, 4.32]), resulting in 33.5% decreased risk of recurrence. Meanwhile, the adjustments of the molecular features did not alter the recurrence risk for the elderly patients. Compared with middle‐aged patients of breast cancer, poorer prognosis of elderly patients may be caused by aging, while poorer prognosis of young patients was probably mediated through intrinsic characteristics, such as basal‐like subtype, GATA3 mutations, and DNAm age of the cancerous tissues.