Secondary Breast Cancer Sociodemographic Characteristics and Survival by Age Group

Survival After Contralateral Secondary Breast Cancer by Age Group in California

PURPOSE

Breast cancer (BC) is the most common secondary cancer and has poorer survival than primary BC (pBC) after any prior malignancy. For BC survivors, developing a contralateral secondary BC (CSBC) is the most frequent second-cancer event and is currently treated similarly to pBC. Identifying survival differences between pBC and CSBC could influence future counseling and treatments for patients with CSBC.

METHODS

Women (≥15 years) diagnosed with pBC from 1991 to 2015 in the California Cancer Registry (n = 377,176) were compared with those with CSBC (n = 15,586) by age group (15-39 years, n = 406; 40-64 years, n = 6814; ≥ 65 years, n = 8366). Multivariable logistic regression models assessed factors associated with CSBC. Multivariable Cox proportional hazards regression models assessed BC-specific survival (BCSS), while accounting for the competing risk of death.

RESULTS

Across all ages, CSBC patients were more likely to have smaller tumors (T2 vs. T1a; 15-39 yeras: OR 0.25, CI 0.16-0.38; 40-64 years: OR 0.41, CI 0.37-0.45; ≥ 65 years: OR 0.46, CI 0.42-0.51) and lymph node-negative disease (positive vs. negative; 15-39 years: OR 0.86, CI 0.69-1.08; 40-64 years: OR 0.88, CI 0.83-0.93; ≥ 65 years: OR 0.89, CI 0.84-0.94). Additionally, CSBC was associated with worse survival compared with pBC across all ages (15-39 years: HR 2.73, CI 2.30-3.25; 40-64 years: HR 2.13, CI 2.01-2.26; ≥ 65 years: HR 1.52, CI 1.43-1.61).

CONCLUSION

BCSS is worse among all women diagnosed with CSBC compared with pBC, with the strongest impact seen in adolescent and young adult women. Worse survival after CSBC, despite associations with smaller tumors and lymph node negativity, suggests that CSBC may need eventual treatment reconsideration.

Identification of age differences in cancer-related symptoms in women undergoing chemotherapy for breast cancer in China

BACKGROUND

Both contextual and cancer-related factors could be identified as causes of the interindividual variability observed for symptoms experienced during breast cancer treatment with chemotherapy. Understanding age differences and the predictors of latent class memberships for symptom heterogeneity could contribute to personalized interventions. This study aimed to identify the role of age differences on cancer-related symptoms in women undergoing chemotherapy for breast cancer in China.

METHODS

A cross‑sectional survey was conducted among patients with breast cancer in three tertiary hospitals in central China between August 2020 to December 2021. The outcomes of this study included sociodemographic and clinical characteristics, Patient-Reported Outcomes Measurement Information System (PROMIS)-57 and PROMIS-cognitive function short form scores.

RESULTS

A total of 761 patients were included, with a mean age of 48.5 (SD = 11.8). Similar scores were observed across age groups for all symptoms except for fatigue and sleep disturbance domains. The most central symptoms varied among each group, and were fatigue, depression, and pain interference for the young-aged, middle-aged, and elderly-aged groups, respectively. In the young-aged group, patients without health insurance (OR = 0.30, P = 0.048) and in the fourth round of chemotherapy or above (OR = 0.33, P = 0.005) were more likely to belong to low symptom classes. In the middle-aged group, patients in menopause (OR = 3.58, P = 0.001) were more likely to belong to high symptom classes. In the elderly-aged group, patients with complications (OR = 7.40, P = 0.003) tended to belong to the high anxiety, depression, and pain interference classes.

CONCLUSIONS

Findings from this study indicated that there is age-specific heterogeneity of symptoms present for Chinese women being treated for breast cancer with chemotherapy. Tailored intervention should consider the impact of age to reduce patients' symptom burdens.

The risk and latency evaluation of secondary primary malignancies of cervical cancer patients who received radiotherapy: A study based on the SEER database

Objectives

To study the risk factors for the onset of secondary primary malignancies (SPM) and the latency between SPM and cervical cancer after radiotherapy.

Methods

We selected patients with cervical cancer who underwent radiotherapy between 2000 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database. And the data of patients with cervical cancer who underwent radiotherapy in Guangxi Medical University Cancer Hospital during January 1,1997 to December 31,2016 were collected and analyzed. The factors associated with SPM onset and latency were then estimated by nomograms based on logistic regression and a complete risk model. Dynamic risk plots were performed by Poisson regression.

Results

A total of 32,313 cases of cervical cancer who underwent radiotherapy were downloaded from the SEER database; of these, 19,439 cases had a complete dataset and were included in the final analysis. In total, 561 cases suffered from SPM; the remaining 18,878 did not. And a total of 1486 cases of cervical cancer who underwent radiotherapy from Guangxi Medical University Cancer Hospital were analyzed, 27 cases caught SPM and the rest of 1459 cases did not. Patients with SPM were older than those without SPM(p=0.000); significant associations were also identified between SPM and white race(p=0.000), localized stage (p=0.000), squamous carcinoma (SCC)(p=0.003), surgery(p=0.000), and combination radiotherapy (p=0.026). A logistic regression nomogram showed that older age (HR:1.015, 95%CI:1.009-1.021, p=0.000), localized stage (HR:4.056, 95%CI: 2.625-6.269, p=0.000) and regional stage (HR: 3.181, 95%CI:2.094-4.834, p=0.000), white (HR: 1.722, 95%CI:1.145-2.590, p=0.000) and black race (HR: 1.889, 95%CI:1.327-2.689, p=0.000), and the receipt of surgery (HR: 1.381, 95%CI:1.151-1.657, p=0.000) were all independent risk factors for the onset of SPM. The largest proportion of cases involved SPM in the female reproductive system. A dynamic risk plot showed that age, race, stage, and surgery had impacts on the latency of SPM onset. A competing risk regression analysis nomogram showed that age (HR: 1.564, 95%CI: 1.272-1.920, p=0.000), surgery (HR: 1.415, 95%CI: 1.140-1.760, p=0.002), localized stage (HR: 8.035, 95%CI: 4.502-14.340, p=0.000) and regional stage (HR: 4.904, 95%CI: 2.790-8.620, p=0.000), and black race (HR: 1.786, 95%CI: 1.161-2.750, p=0.008) all had significant impacts on the cumulative incidence and latency of SPM.

Conclusions

Advanced age, the receipt of surgery, earlier stages, and white and black race were identified as risk factors for SPM onset and influenced latency in patients with cervical cancer after radiotherapy.