Real-world, single-centre prospective data of age at breast cancer onset: focus on survival and reproductive history

Karihtala, Peeter; Jääskeläinen, Anniina; Roininen, Nelli; Jukkola, Arja

doi:10.1136/bmjopen-2020-041706

Cited by 3 publications

(1 citation statement)

References 41 publications

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“…Zavagno et al (24), in their study of 1226 IBC patients, analysing the influence of age and menopausal status on pathological features, also showed that the youngest (≤40 years) patients had the worst prognostic pattern, which improves as age increases and is the best in patients ≥75 years of age. However, in a prospective cohort of 594 women with early IBC, Karihtala et al (25) reported comparable survival rates between the age groups of <41 years, 41-69 years, and ≥71 years.…”

Section: Discussionmentioning

confidence: 95%

S‑phase fraction, lymph node status and disease staging as the main prognostic factors to differentiate between young and older patients with invasive breast carcinoma

et al. 2022

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The influence of age on the outcome of patients with invasive breast carcinoma (IBC) has not yet been fully established. The present study investigated two subgroups of patients either side of the age spectrum, and evaluated cytometric, histopathological and molecular characteristics. The series involved 219 patients with IBC that had long-term follow-up, which were divided into two subgroups: Young (≤45 years; n=103) and old patients (≥75 years; n=116). Immunohistochemical evaluation of hormonal receptors, Ki67 index and HER2 status (plus HER2 silver in situ hybridization in equivocal cases) were used as the basis for surrogate molecular subtyping. Ploidy and S-phase fraction (SPF) were analysed by DNA flow cytometry. Differences between the subgroups' characteristics were assessed by the two proportion Z test. Kaplan-Meier estimation and log-rank test were applied for survival analyses. The median age in the subgroups were 40 years (range, 19-45 years) in the young group and 78 years (range, 75-91 years) in the older subgroup. Young patients exhibited higher lymph node involvement, more advanced disease staging, higher SPF tumour proliferative activity, and a trend of lower incidence of Luminal A and higher incidence of Luminal B tumours. The median SPF value was significantly higher in young patients [7.1% (range, 1.5-23.7%) vs. 4.5% (range, 0.7-26.4%)], whereas the ploidy pattern showed no significant difference. In the whole series, as within IBC of no special type, young patients had a higher rate of recurrence (46.6 vs. 22.4%; P<0.001) and deaths from disease (35.9 vs. 20.7%; P=0.030), with a statistically significant difference for disease-free survival. In conclusion, the present study indicated that young patients with IBC exhibited more aggressive disease, with an increased risk of recurrence and shorter disease-free survival. SPF, lymph node status and staging appeared to be the main prognostic factors to differentiate young from older patients with IBC.

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Section: Discussionmentioning

confidence: 95%

S‑phase fraction, lymph node status and disease staging as the main prognostic factors to differentiate between young and older patients with invasive breast carcinoma

et al. 2022

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Clinical trials in older patients with cancer – typical challenges, possible solutions, and a paradigm of study design in breast cancer

Karihtala,

Schiza,

Fountzilas

et al. 2024

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Background and purpose: While the prevalence of older breast cancer patients is rapidly increasing, these patients are greatly underrepresented in clinical trials. We discuss barriers to recruitment of older patients to clinical trials and propose solutions on how to mitigate these challenges and design optimal clinical trials through the paradigm of IMPORTANT trial. Patients and methods: This is a narrative review of the current literature evaluating barriers to including older breast cancer patients in clinical trials and how mitigating strategies can be implemented in a pragmatic clinical trial. Results: The recognized barriers can be roughly divided into trial design-related (e.g. the adoption of strict inclusion criteria, the lack of pre-specified age-specific analysis), patient-related (e.g. lack of knowledge, valuation of the quality-of-life instead of survival, transportation issues), or physician-related (e.g. concern for toxicity). Several strategies to mitigate barriers have been identified and should be considered when designing a clinical trial dedicated to older patients with cancer. The pragmatic, de-centralized IMPORTANT trial focusing on dose optimization of CDK4/6 -inhibitors in older breast cancer patients is a paradigm of a study design where different mitigating strategies have been adopted. Interpretation: Because of the existing barriers, older adults in clinical trials are considerably healthier than the average older patients treated in clinical practice. Thus, the study results cannot be generalized to the older population seen in daily clinical practice. Broader inclusion/exclusion criteria, offering telehealth visits, and inclusion of patient-reported, instead of physician-reported outcomes may increase older patient participation in clinical trials.

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Night Work and Breast Cancer Risk in Nurses: Multifactorial Risk Analysis

Gómez‐Salgado

Fagundo-Rivera

Ortega-Moreno

et al. 2021

Cancers

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Night work has been highlighted by the International Agency for Research on Cancer (IARC) as a likely carcinogenic factor for humans, associated with breast cancer and professions that require continuity of work. Knowing the impact that short and long-term night work has on the nurses’ collective seems a priority, therefore, this study aims to analyse the relationship between night work and the development of breast cancer risk factors in nurses. For this, a cross-sectional study through an online questionnaire on breast cancer risk variables and working life was designed. The study was conducted in Spain and the sample consisted of 966 nurses, of whom 502 were healthy participants and 56 were breast cancer patients. These two groups were compared in the analyses. A descriptive analysis was performed, and the relationship was tested using χ2 independence test and OR calculation. The CHAID (Chi Square Automatic Interaction Detection) data mining method allowed for the creation of a segmentation tree for the main risk variables. The most significant risk variables related to working life have been the number of years worked, nights worked throughout life, and years working more than 3 nights per month. Exceeding 16 years of work has been significant for women and men. When the time worked is less than 16 years, the number of cases increases if there is a family history of cancer and if there have been more than 500 nights of work. High-intensity night work seems more harmful at an early age. The accumulation of years and nights worked increase the risk of breast cancer when factors such as sleep disturbance, physical stress, or family responsibilities come together.

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Real-world, single-centre prospective data of age at breast cancer onset: focus on survival and reproductive history

Cited by 3 publications

References 41 publications

S‑phase fraction, lymph node status and disease staging as the main prognostic factors to differentiate between young and older patients with invasive breast carcinoma

S‑phase fraction, lymph node status and disease staging as the main prognostic factors to differentiate between young and older patients with invasive breast carcinoma

Clinical trials in older patients with cancer – typical challenges, possible solutions, and a paradigm of study design in breast cancer

Night Work and Breast Cancer Risk in Nurses: Multifactorial Risk Analysis

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