Cigarette Smoking Before and After Breast Cancer Diagnosis: Mortality From Breast Cancer and Smoking-Related Diseases

Five-year survival prognosis of young, middle-aged, and elderly adult female invasive breast cancer patients by clinical and lifestyle characteristics

PURPOSE

Early-onset breast cancer incidence has been increasing globally and in Taiwan. However, previous studies have not comprehensively examined how clinical and lifestyle characteristics influence the 5-year survival of breast cancer diagnosed at different stages of adulthood.

METHODS

We analyzed the Taiwan National Cancer Registry and Cause of Death datasets to understand how clinical factors (including tumor and treatment characteristics) and lifestyle factors (including body mass index, cigarette smoking, and alcohol consumption) were associated with the 5-year survival of 8471 young, 57,695 middle-aged, and 14,074 elderly female adult invasive breast cancer patients respectively diagnosed at age 20-39, 40-64, and ≥ 65 years between 2002 and 2015, with mortality follow-up to 2020. Poisson regression was used for obtaining the crude and adjusted 5-year survival risk ratios.

RESULTS

Clinical and lifestyle characteristics were distributed differently but had mostly similar direction of association with 5-year survival for the three age groups. Receiving any treatment was associated with better survival, especially for elderly patients. Being underweight at initial cancer treatment was associated with worse survival than having normal weight, especially for elderly patients. Current smokers had worse survival than never smokers for middle-aged and elderly patients. The 5-year breast cancer-specific survival was not significantly higher for those of age 45-49 years than 40-44 years, despite the recommended starting screening age is 45 years in Taiwan.

CONCLUSION

Our findings contribute to the understanding of early-onset and later-onset female breast cancer characteristics and prognosis, which may inform surveillance and treatment strategies to achieve better breast cancer prognosis.

Healthy lifestyle and cancer survival: A multinational cohort study

Lifestyle factors after a cancer diagnosis could influence the survival of cancer 60 survivors. To examine the independent and joint associations of healthy lifestyle factors with mortality outcomes among cancer survivors, four prospective cohorts (National Health and Nutrition Examination Survey [NHANES], National Health Interview Survey [NHIS], UK Biobank [UKB] and Kailuan study) across three countries. A healthy lifestyle score (HLS) was defined based on five common lifestyle factors (smoking, alcohol drinking, diet, physical activity and body mass index) that related to cancer survival. We used Cox proportional hazards regression to estimate the hazard ratios (HRs) for the associations of individual lifestyle factors and HLS with all-cause and cancer mortality among cancer survivors. During the follow-up period of 37,095 cancer survivors, 8927 all-cause mortality events were accrued in four cohorts and 4449 cancer death events were documented in the UK and US cohorts. Never smoking (adjusted HR = 0.77, 95% CI: 0.69-0.86), light alcohol consumption (adjusted HR = 0.86, 95% CI: 0.82-0.90), adequate physical activity (adjusted HR = 0.90, 95% CI: 0.85-0.94), a healthy diet (adjusted HR = 0.69, 95% CI: 0.61-0.78) and optimal BMI (adjusted HR = 0.89, 95% CI: 0.85-0.93) were significantly associated with a lower risk of all-cause mortality. In the joint analyses of HLS, the HR of all-cause and cancer mortality for cancer survivors with a favorable HLS (4 and 5 healthy lifestyle factors) were 0.55 (95% CI 0.42-0.64) and 0.57 (95% CI 0.44-0.72), respectively. This multicohort study of cancer survivors from the United States, the United Kingdom and China found that greater adherence to a healthy lifestyle might be beneficial in improving cancer prognosis.

Differences in Smoking Behavior by Nativity, Race/Ethnicity, and Education among Women Diagnosed with Breast Cancer

BACKGROUND

We evaluated smoking differences across nativity and race/ethnicity among women diagnosed with breast cancer.

METHODS

In our Northern Californian pooled population of 5,653 [670 Asian, 690 Hispanic, and 4,300 non-Hispanic White (White)] women diagnosed with breast cancer, we evaluated smoking differences across nativity, race/ethnicity, and acculturation and effect modification of nativity by race/ethnicity and education.

RESULTS

Foreign-born women currently smoked less than US-born women [odds ratio (OR) = 0.46, 95% confidence limit (CL): 0.29-0.72]. Hispanic (OR = 0.50; 95% CL: 0.32-0.78) women currently smoked less than White women. Among those who ever smoked (n = 2,557), foreign-born women smoked 5.23 fewer pack-years (PY) than US-born women (95% CL: -2.75 to -7.70). Furthermore, Asian (-4.60, 95% CL: -0.81 to -8.39) and Hispanic (-6.79, 95% CL: -4.14 to -9.43) women smoked fewer PY than White women. Associations were generally suggestive of greater smoking with greater acculturation (immigration age, US years, survey language). Finally, associations for nativity differed by education but not race/ethnicity, with a higher likelihood of smoking in US-born women only among those with less than a bachelor's degree (OR = 2.84, 95% CL: 2.15-3.77; current smoking: P = 0.01, PY: P = 0.05).

CONCLUSIONS

Asian and Hispanic (vs. White) and foreign-born (vs. US-born) breast cancer survivors reported fewer smoking behaviors. Smoking differences across nativity and education were driven by higher rates of smoking in US-born women with lower educational attainment.

IMPACT

Smoking behavioral patterns were similar among breast cancer survivors and the general population, informing potential smoking interventions.

Strategies for tobacco-free survivorship after breast cancer: The possible weaving of preoperative care and public health policies

Among smoker women with breast cancer quitting smoking has been shown to increase survival and surgical outcomes. Where surgery is indicated, the preoperative seems to be a crucial moment for smoking cessation interventions as it enhances recovery after surgery and motivates prolonged tobacco abstinence. Timing and frequency of preoperative quitting conversations were variables associated with quitting. An early, multidisciplinary, and personalized approach is recommended. A solid integration between primary care services and specialized care is challenging but feasible, implementing prehabilitation pathways that include tobacco treatment routinely as an integral part of breast cancer care. Smoking cessation programs before surgical procedures impact recidivism prevention, survivorship improvement, public health, and cost savings. The contribution of healthcare professionals can make a difference in tobacco control, collaborating with organizations, public health, and nursing research. Integrated solutions in oncological clinical care pathways might help patients build and maintain tobacco abstinence after breast cancer. Future research shall study when patients should abstain from smoking before oncological breast surgery.

The global, regional, and national disease burden of breast cancer attributable to tobacco from 1990 to 2019: a global burden of disease study

OBJECTIVE

Tobacco has been identified as a significant contributory element to the development of breast cancer. Our objective was to evaluate the spatiotemporal trends of tobacco-related breast cancer at the global, regional, and national scales during 1990-2019.

METHODS

We extracted data on mortality, disability adjusted of life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized DALYs rate (ASDR) from the Global Burden of Disease (GBD) study 2019. Estimated annual percentage change (EAPC) was computed to assess the temporal change in ASDR and ASMR.

RESULTS

In 2019, the deaths and DALYs attributed to tobacco-related breast cancer were estimated to be 35,439 (95% UI: 22,179-48,119) and 1,060,590 (95% UI: 622,550-1,462,580), respectively. These figures accounted for 5.1% and 5.2% of the total burden of breast cancer. ASMR and ASDR increased in low SDI regions, remained stable in low-middle and middle SDI regions and declined in high and high-middle SDI regions. The burden of breast cancer attributable to tobacco varied notably among regions and nations. Oceania, Southern Latin America, and Central Europe were the GBD regions with the highest number of ASMR and DALYs. There was a positive relationship between age-standardized rate and SDI value in 2019 across 204 nations or territories. A negative association was observed between the EAPC in ASMR or ASDR and the human development index (HDI) in 2019 (R = -0.55, p < 0.01 for ASMR; R = -0.56, p < 0.01 for ASDR).

CONCLUSION

Tobacco is one important and modifiable risk factor for breast cancer. The heterogeneity in both the spatial and temporal distribution can be attributed to factors such as aging, population growth, and SDI. These findings substantiate the necessity of expediting the enforcement of tobacco-free legislation in order to safeguard populations from the detrimental effects of tobacco.

Characterizing risky alcohol use, cigarette smoking, e-cigarette use, and physical inactivity among cancer survivors in the USA-a cross-sectional study

PURPOSE

Unhealthy lifestyle behaviors are associated with inferior health outcomes among cancer survivors, including increased mortality. It is crucial to identify vulnerable subgroups, yet investigations have been limited. Thus, this study aimed to examine sociodemographic and clinical characteristics associated with risky health behaviors among cancer survivors.

METHODS

We used national, cross-sectional survey data (Health Information National Trends Survey, HINTS 2017-2020) for 2579 cancer survivors. We calculated the prevalence of risky alcohol use, current cigarette smoking, e-cigarette use, and not meeting physical activity guidelines. We performed weighted logistic regression to obtain multivariable-adjusted odds ratios (OR) for the association between each unhealthy behavior with sociodemographic and clinical characteristics.

RESULTS

Overall, 25% showed risky alcohol use, 12% were current cigarette smokers, 3% were current e-cigarette users, and 68% did not meet physical activity guidelines. Cancer survivors who were males, non-Hispanic Whites or African Americans, without a college education, not married and with comorbidities or psychological distress were more likely to have unhealthy behaviors. Those with lung disease or depression were 2 times as likely to smoke cigarette or e-cigarettes and those with psychological distress were 1.6 times as likely to be physically inactive. Moreover, risky drinkers (OR = 1.75, 95% CI = 1.22-2.52) and e-cigarette smokers (OR = 16.40, 95% CI 3.29-81.89) were more likely to be current cigarette smokers.

CONCLUSIONS

We identified vulnerable subpopulations of cancer survivors with multiple unhealthy lifestyle behaviors.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings inform clinicians and program and policy makers of the subgroups of cancer survivors to target for multiple health behavior interventions.

Hypothetical Interventions on Diet Quality and Lifestyle Factors to Improve Breast Cancer Survival: The Pathways Study

BACKGROUND

The number of breast cancer survivors is increasing, yet evidence to inform dietary and lifestyle guidelines is limited.

METHODS

This analysis included 3,658 participants from the Pathways Study, a prospective cohort of women diagnosed with invasive breast cancer. A healthy plant-based dietary index score (hPDI), an American Cancer Society (ACS) nutrition guidelines score, a 2015 Healthy Eating Index score (HEI), hours per week of moderate to vigorous physical activity (PA), and lifetime cumulative pack-years of cigarette smoking (SM) were each measured at diagnosis, 6, 24, and 72 months. Using g-computation, 5- and 10-year risk ratios (RR), risk differences, and 95% confidence intervals (CI) for all-cause mortality under hypothetical interventions on diet quality, PA, and SM, compared with the natural course (no intervention) were calculated.

RESULTS

Hypothetical moderate to extreme interventions on hPDI, ACS, and HEI, each in combination with PA and SM, showed 11% to 56%, 9% to 38%, and 9% to 49% decreases in 5-year risks of all-cause mortality compared with no intervention, respectively [(hPDI: RRmoderate = 0.89, 95% CI: 0.82-0.94; RRextreme = 0.44, 95% CI: 0.26-0.67), (ACS: RRmoderate = 0.91, 95% CI: 0.85-0.96; RRextreme = 0.62, 95% CI: 0.43-0.82), (HEI: RRmoderate = 0.91, 95% CI: 0.84-0.95; RRextreme = 0.51, 95% CI: 0.33-0.72)]. While 10-year relative risks were slightly attenuated, absolute risk reductions were more pronounced.

CONCLUSIONS

Interventions to improve diet quality, increase PA, or reduce SM at the time of diagnosis may improve survival among breast cancer survivors.

IMPACT

We estimate that over 10% of deaths could be delayed by even moderate adoption of these behaviors.

Diabetes Mellitus Is a Strong Independent Negative Prognostic Factor in Patients with Brain Metastases Treated with Radiotherapy

BACKGROUND

Brain metastases (BM) cause relevant morbidity and mortality in cancer patients. The presence of cerebrovascular diseases can alter the tumor microenvironment, cellular proliferation and treatment resistance. However, it is largely unknown if the presence of distinct cerebrovascular risk factors may alter the prognosis of patients with BM.

METHODS

Patients admitted for the radiotherapy of BM at a large tertiary cancer center were included. Patient and survival data, including cerebrovascular risk factors (diabetes mellitus (DM), smoking, arterial hypertension, peripheral arterial occlusive disease, hypercholesterolemia and smoking) were recorded.

RESULTS

203 patients were included. Patients with DM (n = 39) had significantly shorter overall survival (OS) (HR 1.75 (1.20-2.56), p = 0.003, log-rank). Other vascular comorbidities were not associated with differences in OS. DM remained prognostically significant in the multivariate Cox regression including established prognostic factors (HR 1.92 (1.20-3.06), p = 0.006). Furthermore, subgroup analyses revealed a prognostic role of DM in patients with non-small cell lung cancer, both in univariate (HR 1.68 (0.97-2.93), p = 0.066) and multivariate analysis (HR 2.73 (1.33-5.63), p = 0.006), and a trend in melanoma patients.

CONCLUSION

DM is associated with reduced survival in patients with BM. Further research is necessary to better understand the molecular mechanisms and therapeutic implications of this important interaction.

Estrogens and the risk of breast cancer: A narrative review of literature

In female mammals, the development and regulation of the reproductive system and non-reproductive system are significantly influenced by estrogens (oestrogens). In addition, lipid metabolism is another physiological role of estrogens. Estrogens act through different types of receptors to introduce signals to the target cell by affecting many estrogen response elements. Breast cancer is considered mostly a hormone-dependent disease. Approximately 70% of breast cancers express progesterone receptors and/or estrogen receptors, and they are a good marker for cancer prognosis. This review will discuss estrogen metabolism and the interaction of estrogen metabolites with breast cancer. The carcinogenic role of estrogen is discussed in light of both conventional and atypical cancers susceptible to hormones, such as prostate, endometrial, and lung cancer, as we examine how estrogen contributes to the formation and activation of breast cancer. In addition, this review will discuss other factors that can be associated with estrogen-driven breast cancer.

Association between high body mass index and prognosis of patients with early-stage breast cancer: A systematic review and meta-analysis

Background

A high body mass index (BMI) can indicate overweight or obesity and is a crucial risk factor for breast cancer survivors. However, the association between high BMI and prognosis in early-stage breast cancer (EBC) remains unclear. We aimed to assess the effects of high BMI on the prognosis of patients with EBC.

Methods

The PubMed, Embase, and Cochrane Library databases and proceedings of major oncological conferences related to the effects of BMI on the prognosis of breast cancer were searched up to November 2021. Fixed- and random-effects models were used for meta-analyses. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) for disease-free survival (DFS) and overall survival (OS) were extracted from the included literature.

Results

Twenty retrospective cohort studies with 33,836 patients with EBC were included. Overweight patients had worse DFS (HR: 1.16, 95% CI: 1.05-1.27, P = 0.002) and OS (HR: 1.20; 95% CI: 1.09-1.33, P < 0.001). Obesity also had adverse effects on DFS (HR: 1.17, 95% CI: 1.07-1.29, P = 0.001) and OS (HR: 1.30, 95% CI: 1.17-1.45, P < 0.001). Likewise, patients with high BMI had worse DFS (HR: 1.16, 95% CI: 1.08-1.26, P < 0.001) and OS (HR: 1.25, 95% CI: 1.14-1.39, P < 0.001). In subgroup analyses, overweight had adverse effects on DFS (HR: 1.11, 95% CI: 1.04-1.18, P = 0.001) and OS (HR: 1.18, 95% CI: 1.11-1.26, P < 0.001) in multivariate analyses, whereas the relationship that overweight had negative effects on DFS (HR: 1.21, 95% CI: 0.99-1.48, P = 0.058) and OS (HR: 1.39, 95% CI: 0.92-2.10, P = 0.123) was not statistically significant in univariate analysis. By contrast, obesity had adverse effects on DFS (HR: 1.21, 95% CI: 1.06-1.38, P = 0.004 and HR: 1.14, 95% CI: 1.08-1.22, P < 0.001) and OS (HR: 1.33, 95% CI: 1.15-1.54, P < 0.001 and HR: 1.23, 95% CI: 1.15-1.31, P < 0.001) in univariate and multivariate analyses, respectively.

Conclusions

Compared with normal weight, increased body weight (overweight, obesity, and high BMI) led to worse DFS and OS in patients with EBC. Once validated, these results should be considered in the development of prevention programs.

The clinical impact of continued smoking in patients with breast and other hormone-dependent cancer: A systematic literature review

We conducted a systematic review of studies that investigated whether quitting smoking at or around diagnosis improves survival of patients with hormone-dependent cancers (HDC). Nine studies published in 2013-2022 were included. Studies were very diverse in terms of design, definition of quitters and continued smokers, and prevalence of prognostic factors other than smoking cessation (e.g. patients' demographics, tumour characteristic, and treatments). For breast, ovarian, and endometrial cancer, all included studies found that quitters had better overall, disease specific, and disease-free survival than continued smokers. For prostate cancer, there was no evidence of an association of smoking cessation with improved survival. This literature review provided suggestive evidence that female smokers diagnosed with cancer of the breast, ovary, or endometrium may improve their chances of surviving by stopping smoking. Smoking cessation counselling should become part of standard oncological care for these patients and integrated into breast cancer screening programs.

Association of Cigarette Smoking and Alcohol Consumption With Subsequent Mortality Among Black Breast Cancer Survivors in New Jersey

IMPORTANCE

There are limited data about how lifestyle factors are associated with breast cancer prognosis among Black or African American women because most of the evidence is based on studies of White breast cancer survivors.

OBJECTIVE

To examine the association of prediagnostic cigarette smoking and alcohol consumption with all-cause mortality and breast cancer-specific mortality in a cohort of Black breast cancer survivors.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study included 1926 Black or African American breast cancer survivors who received a diagnosis from June 6, 2005, to May 21, 2019, identified in 10 counties in New Jersey through rapid case ascertainment by the New Jersey State Cancer Registry. Statistical analysis was conducted from January 1, 2021, to August 1, 2022.

EXPOSURES

Information on prediagnostic cigarette smoking, alcohol consumption, and additional covariates was collected during in-person interviews. The covariates examined included smoking status at the time of breast cancer diagnosis (currently smoking at the time of breast cancer diagnosis, formerly smoking, or never smoking), smoking duration (number of years smoking), smoking intensity (cigarettes smoked per day), number of pack-years of smoking, and regular alcohol consumption the year before diagnosis (categorized as nondrinkers, ≤3 drinks per week, or >3 drinks per week).

MAIN OUTCOMES AND MEASURES

Primary outcomes included breast cancer-specific mortality and all-cause mortality.

RESULTS

Among the 1926 women in the study, the mean (SD) age at breast cancer diagnosis was 54.4 (10.8) years. During 13 464 person-years of follow-up (median follow-up, 6.7 years [range, 0.5-16.0 years]), there were 337 deaths, of which 187 (55.5%) were breast cancer related. Compared with never smokers, current smokers at the time of breast cancer diagnosis had a 52% increased risk for all-cause mortality (hazard ratio [HR], 1.52; 95% CI, 1.15-2.02), which was most pronounced for those with 10 or more pack-years of smoking (HR, 1.84; 95% CI, 1.34-2.53). Similar findings were observed for breast cancer-specific mortality (current smokers vs never smokers: HR, 1.27; 95% CI, 0.87-1.85), although they were not statistically significant. There was no statistically significant association between alcohol consumption and all-cause mortality (>3 drinks per week vs nondrinkers: HR, 1.05; 95% CI, 0.73-1.51) or breast cancer-specific mortality (>3 drinks per week vs nondrinkers: HR, 1.06; 95% CI, 0.67-1.67).

CONCLUSIONS AND RELEVANCE

This population-based cohort study of Black breast cancer survivors suggests that current smoking at the time of diagnosis was associated with an increased risk of all-cause mortality, particularly among women with greater pack-years of smoking.

Sarcopenia using pectoralis muscle area and lymphocyte-to-monocyte ratio (LMR) are independent prognostic factors in patients for nonmetastatic breast cancer

Sarcopenia is defined as loss of skeletal muscle mass and strength. This can lead to adverse clinical outcomes in patients with advanced cancer. The lymphocyte-to-monocyte ratio (LMR), a converted inflammatory response, is associated with poor prognosis in patients with malignancies. Herein, we examined the prognostic influence of sarcopenia status assessed by pectoralis muscle area (PMA), inflammatory status calculated by LMR, and its association with disease-free survival (DFS) in a cohort of women diagnosed with nonmetastatic breast cancer. A total of 293 patients with nonmetastatic breast cancer who underwent primary mass resection and radiotherapy between January 2011 and December 2017 were enrolled. The cross-sectional area of the muscle (cm2) at PMA was measured using computed tomography before radiation therapy. Baseline monocyte and lymphocyte counts were obtained from the complete blood count to calculate the LMR. Most of the patients (248/293, 84.6%) underwent breast conservation surgery. Lymph node involvement at diagnosis (hazard ratio [HR], 5.08; P < .001), low LMR (HR, 2.79; P = .007), and low PMA (HR, 3.80; P < .001) were independent poor prognostic factors in multivariate analysis. The mean DFS of sarcopenic and nonsarcopenic patients was 89.8 months and 118.8 months, respectively (P < .001). Sarcopenic patients with low LMR showed the worst outcomes, whereas nonsarcopenic patients with high LMR showed the best outcomes. Low PMA and low LMR were independent poor prognostic factors for DFS in patients with nonmetastatic breast cancer.

Time to surgery and survival in breast cancer

Background

This study aimed to investigate the effect of the time from diagnosis to breast cancer surgery on breast cancer patients’ prognosis.

Methods

Of the 1900 patients diagnosed with invasive (stage 1–3) breast cancer who underwent surgery in KUH between 2012 and 2019, 279 patients were enrolled in this study. All patients, including those who received neoadjuvant chemotherapy, were classified as Model 1 subjects, and those who received immediate surgical treatment were classified as Model 2 subjects. We conducted a Cox regression analysis to identify prognostic factors of breast cancer associated with the time from diagnosis to surgery.

Results

The univariate results indicated a sharp drop in both groups’ survival rates when the time to surgery was delayed for more than 8 weeks (Model 1 p = 0.000; Model 2 p = 0.001). In the multivariate analysis, the hazard ratio (HR) of Model 1increased (HR = 6.84, 95% CI 1.06–44.25) in response to a delay in surgery of more than 8 weeks. Smoking and the American Joint Committee on Cancer (AJCC) staging system had a negative effect on breast cancer prognosis, while hormone therapy had a positive effect.

Conclusion

For all patients, a delay in breast cancer surgery of more than 8 weeks was inversely associated with survival.

Lessons from Cost-Effectiveness Analysis of Smoking Cessation Programs for Cancer Patients

BACKGROUND

Smoking among patients diagnosed with cancer poses important health and financial challenges including reduced effectiveness of expensive cancer therapies. This study explores the value of smoking cessation programs (SCPs) for patients already diagnosed with cancer. It also identifies conditions under which SPCs may be wise investments.

METHODS

Using a simplified decision analytic model combined with insights from a literature review, we explored the cost-effectiveness of SCPs.

RESULTS

The findings provide insights about the potential impact of cessation probabilities among cancer patients in SCPs and the potential impact of SCPs on cancer patients' lives.

CONCLUSION

The evidence suggests that there is good reason to believe that SCPs are an economically attractive way to improve outcomes for cancer patients when SCPs are offered in conjunction with standard cancer care.

The Association between Smoking and Mortality in Women with Breast Cancer: A Real-World Database Analysis

Smoking increases the cancer-specific and overall mortality risk in women with breast cancer (BC). However, the effect of smoking cessation remains controversial, and detailed research is lacking in Asia. We aimed to investigate the association between smoking status and mortality in women with BC using the population-based cancer registry. The Taiwan Cancer Registry was used to identify women with BC from 2011 to 2017. A total of 54,614 women with BC were enrolled, including 1687 smokers and 52,927 non-smokers. The outcome, mortality, was identified using Taiwan’s cause-of-death database. The association between smoking status and mortality was estimated using Cox proportional regression. Women with BC who smoked had a 1.25-fold higher (95% C.I.: 1.08–1.45; p = 0.0022) risk of overall mortality and a 1.22-fold higher (95% C.I.: 1.04–1.44; p = 0.0168) risk of cancer-specific mortality compared with non-smokers. The stratified analysis also indicated that women with BC who smoked showed a significantly higher overall mortality risk (HR: 1.20; 95% CI: 1.01–1.43; p = 0.0408) than women with BC who did not smoke among women without comorbidities. Additionally, current smokers had a 1.57-fold higher risk (95% CI: 1.02–2.42; p = 0.0407) of overall mortality compared with ever smokers among women with BC who smoked. It was shown that a current smoking status is significantly associated with an increase in overall and cancer-specific mortality risk in women with BC. Quitting smoking could reduce one’s mortality risk. Our results underscore the importance of smoking cessation for women with BC.

β-Caryophyllene Counteracts Chemoresistance Induced by Cigarette Smoke in Triple-Negative Breast Cancer MDA-MB-468 Cells

Exposure to cigarette smoke (CS) has been associated with an increased risk of fatal breast cancers and recurrence, along with chemoresistance and chemotherapy impairment. This strengthens the interest in chemopreventive agents to be exploited both in healthy and oncological subjects to prevent or repair CS damage. In the present study, we evaluated the chemopreventive properties of the natural sesquiterpene β-caryophyllene towards the damage induced by cigarette smoke condensate (CSC) in triple negative breast cancer MDA-MB-468 cells. Particularly, we assessed the ability of the sesquiterpene to interfere with the mechanisms exploited by CSC to promote cell survival and chemoresistance, including genomic instability, cell cycle progress, autophagy/apoptosis, cell migration and related pathways. β-Caryophyllene was found to be able to increase the CSC-induced death of MDA-MB-468 cells, likely triggering oxidative stress, cell cycle arrest and apoptosis; moreover, it hindered cell recovery, autophagy activation and cell migration; at last, a marked inhibition of the signal transducer and activator of transcription 3 (STAT3) activation was highlighted: this could represent a key mechanism of the chemoprevention by β-caryophyllene. Although further studies are required to confirm the in vivo efficacy of β-caryophyllene, the present results suggest a novel strategy to reduce the harmful effect of smoke in cancer patients and to improve the survival expectations in breast cancer women.

No Impact of Seasonality of Diagnoses on Baseline Tumor Immune Infiltration, Response to Treatment, and Prognosis in BC Patients Treated with NAC

Simple Summary

High tumor-infiltrating lymphocyte (TIL) levels are associated with an increased response to neoadjuvant chemotherapy (NAC) in breast cancer (BC). The seasonal fluctuation of TILs in breast cancer is poorly documented. In this study, we compared pre- and post-treatment immune infiltration, the treatment response as assessed by means of pathological complete response (pCR) rates, and survival according to the seasonality of BC diagnoses in a clinical cohort of patients treated with NAC. We found no association between seasonality and baseline TIL levels or pCR rates. We found that post-NAC stromal lymphocyte infiltration was lower when cancer was diagnosed in the summer, especially in the subgroup of patients with TNBC. Our data do not support the hypothesis that the seasonality of diagnoses has a major impact on the natural history of BC treated with NAC.

Abstract

Breast cancer (BC) is the most common cancer in women worldwide. Neoadjuvant chemotherapy (NAC) makes it possible to monitor in vivo response to treatment. Several studies have investigated the impact of the seasons on the incidence and detection of BC, on tumor composition, and on the prognosis of BC. However, no evidence is available on their association with immune infiltration and the response to treatment. The objective of this study was to analyze pre- and post-NAC immune infiltration as assessed by TIL levels, the response to treatment as assessed by pathological complete response (pCR) rates, and oncological outcomes as assessed by relapse-free survival (RFS) or overall survival (OS) according to the seasonality of BC diagnoses in a clinical cohort of patients treated with neoadjuvant chemotherapy. Out of 1199 patients, the repartition of the season at BC diagnosis showed that 27.2% were diagnosed in fall, 25.4% in winter, 24% in spring, and 23.4% in summer. Baseline patient and tumor characteristics, including notable pre-NAC TIL levels, were not significantly different in terms of the season of BC diagnosis. Similarly, the pCR rates were not different. No association for oncological outcome was identified. Our data do not support the idea that the seasonality of diagnoses has a major impact on the natural history of BC treated with NAC.

Quantifying Societal Burden of Radiation-Induced Cardiovascular Events in Breast Cancer Survivors

Background and Purpose

Radiation-induced cardiotoxicity is an important health concern for clinicians during treatment of breast cancer (BC) patients. Underlying mechanisms are well-documented, whereas little is known about the societal impact of this long-term effect. This study aimed to quantify the additional burden of radiation-induced cardiovascular (CV) diseases in BC survivors.

Materials and Methods

Conventional health economic modelling techniques were applied to estimate attributed CV-related costs and disutility in a hypothetical cohort of BC survivors. A situation in which radiotherapy caused an additional CV risk was compared with a situation in which this risk was not taken into account. Uncertainty was assessed via deterministic and probabilistic sensitivity analyses. Analyses were performed from a broad societal perspective up until 20 years after BC treatment.

Results

Radiation-induced cardiotoxicity evokes a mean incremental cost of €275.10 per woman over a time horizon of 20 years after BC treatment. An additional decrement of 0.017 QALYs (per woman) might be expected when taking the radiation-induced cardiotoxic risk into account in BC survivors. Incremental costs and disutility increased with age. A scenario analysis showed that these results were more profound in women with more advanced staging.

Conclusion

Our analyses suggest that with current radiation techniques, rather minor costs and disutility are to be expected from radiation-induced cardiotoxicity in BC survivors. The cost of past investments in order to achieve current mean heart dose (MHD) seems justified when considering the gains from cost and disutility reduction resulting from radiation-induced cardiovascular events. The question we might consider is whether future opportunity costs associated with investments on further technological advancements offset the expected marginal benefit from further reducing the MHD.

Dynamics of Long-Term Patient-Reported Quality of Life and Health Behaviors After Adjuvant Breast Cancer Chemotherapy

We aimed to characterize long-term quality of life (QOL) trajectories among patients with breast cancer treated with adjuvant chemotherapy and to identify related patterns of health behaviors.

Tomotherapy-based moderate hypofractionation for localized prostate cancer: a mono-institutional analysis

Background

To date, few studies have been published on image-guided helical tomotherapy (HT) in a moderate hypofractionation of localized PCa. We report outcome and toxicity of localized PCa patients treated with HT-based moderate hypofractionated radiotherapy.

Materials and methods

76 patients were retrospectively analyzed. A total dose of 60 Gy (20 × 3 Gy) or 67.5 Gy (25 × 2.7 Gy) was prescribed. The χ² test was used to analyze associations between toxicity and dosimetric and clinical parameters. The Cox proportional hazard regression model was used for multivariate analysis. Kaplan-Meier method was used for survival analysis.

Results

median follow-up was 42.26 months [interquartile (IQR), 23-76). At 4-year, overall survival (OS) and metastasis-free survival (MFS) were 91% and 89%, respectively. At multivariate analysis, smoking habitude was associated with MFS [hazard ratio (HR) 7.32, 95% CI: 1.57-34.16, p = 0.011]. Acute and late grade ≥ 2 gastro-intestinal (GI) toxicity was observed in 6.5% and 2.6% of patients, respectively. Acute and late grade ≥ 2 genito-urinary (GU) toxicity were 31.5% and 3.9%. Four-year late GI and GU grade ≥ 2 toxicity were 3% and 7%, respectively. Acute GI toxicity was associated with statins medication (p = 0.04) and androgen deprivation therapy (p = 0.013). Acute GU toxicity was associated with the use of anticoagulants (p = 0.029) and antiaggregants (p = 0.013).

Conclusions

HT-based moderate hypofractionation shows very low rates of toxicity. Smoking habitude is associated with the risk of developing metastases after radical treatment for localized PCa.

Relationship between Cigarette Smoking and Cancer Characteristics and Survival among Breast Cancer Patients

Carcinogenic effects of tobacco smoke may affect breast tumorigenesis. To assess whether cigarette smoking is associated with breast cancer characteristics, we investigated the relationships between smoking, pathological characteristics, and outcomes in 2153 women diagnosed with breast cancer 2001-2016. Patients were classified as never, former, or current smokers at the time of diagnosis. Logistic regression and multivariable Cox proportional hazards analysis were performed to determine whether smoking was associated with tumor characteristics. Multivariable Cox proportional hazards analysis was conducted to compare former or current smokers to never smokers in survival with adjustment for the potential confounders. The majority of women (61.8%) never smoked, followed by former smokers (26.2%) and current smokers (12.0%). After adjustment for demographic variables, body mass index, and comorbidities, tumor characteristics were not significantly associated with smoking status or pack-years smoked. Ten-year overall survival was significantly lower for former and current smokers compared to never smokers (p = 0.0105). However, breast cancer specific survival did not differ significantly between groups (p = 0.1606). Although cigarette smoking did not alter the underlying biology of breast tumors or breast cancer-specific survival, overall survival was significantly worse in smokers, highlighting the importance of smoking cessation in the recently diagnosed breast cancer patient.

The Impact of Treatment for Smoking on Breast Cancer Patients’ Survival

Simple Summary

This was a retrospective analysis of breast cancer patients who were self-identified as smokers at diagnosis and who were invited to participate in a comprehensive tobacco treatment program (TP) that provided pharmacotherapy and motivational counseling to quit smoking. Our study shows that quitting smoking is associated with improved survival among breast cancer patients who smoke across all tumor stages. In our survival analysis, tobacco abstainers were more likely than smokers to be alive with no evidence of disease (hazard ratio = 0.616 95%CI (0.402–0.945), p = 0.026). Comprehensive approach to address smoking cessation may prolong survival outcomes when started as early as the time of diagnosis.

Abstract

Background: Smoking negatively affects overall survival after successful breast cancer (BC) treatment. We hypothesized that smoking cessation would improve survival outcomes of BC patients who were smokers at the time of diagnosis. Methods: This was a retrospective analysis of self-identified smokers with BC treated at The University of Texas MD Anderson Cancer Center. Patient demographics, date of diagnosis, tumor stage, tobacco treatment program (TP) participation, and time to death were extracted from our departmental databases and institutional electronic health records. We examined associations between tobacco abstinence status and survival using survival models, with and without interactions, adjusted for personal characteristics and biomarkers of disease. Results: Among all 31,069 BC patients treated at MD Anderson between 2006 and 2017, we identified 2126 smokers (6.8%). From those 2126 self-identified smokers, 665 participated in the TP, reporting a conservative estimate of 31% abstinence (intent-to-treat) 9 months into the program. Patients without reported follow-up abstinence status (including TP and non-TP participants) were handled in the analyses as smokers. Survival analysis controlled for multiple factors, including disease characteristics and participation in the TP, indicated that abstainers were more likely to be alive with no evidence of disease compared to non-abstainers (HR, 0.593; 95% CI, 0.386–0.911; p = 0.017). Conclusion: Our results suggest that quitting smoking is associated with improved survival among BC patients who were smokers at time of diagnosis across all tumor stages. Comprehensive approaches for smoking cessation in patients diagnosed with BC may prolong survival when started as early as the time of diagnosis.

Implementation and evaluation of a smoking cessation checklist implemented within Australian cancer services

Introduction

The detrimental impact of smoking tobacco can be mitigated when cancer patients quit smoking. Smoking cessation clinical pathways are inconsistently implemented within Australian cancer services. The aim of this study was to pilot test and evaluate the reach, adoption, and implementation of a smoking cessation checklist within oncology services.

Methods

The checklist was implemented over a 6‐month period in medical and radiation oncology services at two metropolitan and one rural hospital. The RE‐AIM framework guided the evaluation process. Implementation strategies included training, process mapping, and identifying champions. Evaluation measures included a clinical data audit, surveys, and semi‐structured interviews with healthcare professionals (HCPs).

Results

Healthcare professionals (HCPs; N = 63; 41% oncologists, 32% nurses, 27% others) completed 1276 checklists with cancer patients between November 2019 and December 2020. Of the 126 (10%) identified current smokers, 34 (27%) accepted a referral to either Quitline, Nicotine Replacement Therapy, to a general practitioner or dedicated HCP for follow‐up telephone support. There was variation in screening adoption by HCPs across the three hospitals, with 16%, 92% and 89.5% of patients screened respectively. Contextual factors, such as perceived commitment, role identity, and communication processes appeared to influence the outcomes.

Conclusion

A checklist is a simple, effective, and versatile intervention used to standardise smoking cessation practices in medical and radiation oncology services. The checklist supports standardisation of referral practices to smoking cessation services for cancer patients by either oncologist and/or nurses.

Weight Gain After Smoking Cessation and Cancer Risk in 3 Prospective Cohorts in the United States

Background

It remains unknown how cancer risks vary by duration of smoking cessation and whether the benefit is attenuated by postcessation weight gain.

Methods

We prospectively followed 198 565 persons from the Nurses’ Health Study (1978-2016), Nurses’ Health Study II (1991-2017), and Health Professionals Follow-up Study (1988-2016) who were free of cancer at baseline. We used proportional hazard Cox models to compare cancer risk between current smokers and former smokers with different durations of smoking cessation and postcessation weight gains.

Results

During 4 718 199 person-years of follow-up, we identified 32 456 cases of total cancer. Compared with current smokers, the risks for total and smoking-related cancer in past smokers were reduced to the level similar to never smokers after abstaining smoking for more than 26 years, with the hazard ratio of 0.69 (95% confidence interval [CI] = 0.63 to 0.76) for total cancer and 0.31 (95% CI = 0.26 to 0.37) for smoking-related cancer, whereas no risk reduction was found for obesity-related cancer. Comparing former smokers with current smokers, the multivariable-adjusted hazard ratios for postcessation weight gain of 0-4.9 kg, 5-9.9 kg, and 10 kg or higher were 0.85 (95% CI = 0.81 to 0.89), 0.88 (95% CI = 0.83 to 0.93), and 0.93 (95% CI = 0.88 to 1.00) for total cancer and 0.62 (95% CI = 0.58 to 0.67), 0.65 (95% CI = 0.60 to 0.71), and 0.71 (95% CI = 0.65 to 0.78) for total smoking-related cancer. In contrast, higher weight gain following smoking cessation was associated with a modest increased obesity-related cancer risk.

Conclusion

Smoking cessation overall has a strong net association with lower risk of total cancer irrespective of weight gain. However, this inverse association may be attenuated by substantial postcessation weight gain, largely because of an increased risk of obesity-related cancers.

Dispositional hope as a potential outcome parameter among patients with advanced malignancy: An analysis of the ENABLE database

BACKGROUND

Hopefulness, whether inherently present (dispositional hope) or augmented (by enhancement techniques), may affect outcomes. This study was performed to determine the association of dispositional hope with survival among patients diagnosed with advanced cancer.

METHODS

Data from ENABLE (Educate, Nurture, Advise, Before Life Ends), a palliative care intervention, were reanalyzed to determine the association of higher dispositional hope and patient survival. This was a secondary analysis of data combined from the ENABLE II and ENABLE III randomized controlled trials (RCTs) with respect to dispositional hope and survival. A dispositional hope index was created from 3 hope items from 2 validated baseline questionnaires. Dispositional hope and survival data were collected during the 2 RCTs. In ENABLE II, participants were randomly assigned to the ENABLE intervention or to usual care. In ENABLE III, participants were randomly assigned to receive the intervention immediately or 12 weeks after enrollment.

RESULTS

In all, 529 persons were included in Cox proportional hazards regression analyses to model the effects of dispositional hope on survival. An initial analysis without covariates yielded a significant effect of hope (Wald statistic, 8.649; hazard ratio, 0.941; confidence interval, 0.904-0.980; P = .003), such that higher dispositional hope was associated with longer survival. In a subsequent analysis that included all covariates, the effect of dispositional hope approached statistical significance (Wald statistic, 2.96; hazard ratio, 0.933; confidence interval, 0.863-1.010; P = .085).

CONCLUSIONS

Higher levels of dispositional hope were associated with longer survival in patients with advanced cancer. Prospective trials are needed to determine the effects of dispositional and augmented hope on the outcomes of patients with advanced cancer.

[Tobacco and alcohol consumption in women treated for breast cancer in a department of surgical oncology: Frequent behaviours to consider]

INTRODUCTION

Tobacco and alcohol represent the two most important risk factors increasing cancer incidence and mortality, particularly among women with breast cancer. However, few researches have focused on the consumption of psychoactive substances in women treated for breast cancer. The present study describes the prevalence of tobacco and alcohol consumption and their relationships with the sociodemographic, medical and psychological variables in a population of women receiving surgery treatment for breast cancer.

METHODS

Between October 2014 and August 2015, a group of women receiving breast cancer treatment were recruited to participate to a screening and brief intervention program (SBI) for the consumption of tobacco and alcohol, adapted to the oncology context. Data on tobacco and alcohol consumption were collected using two questionnaires : the smoking status identification (NIDA) and alcohol consumption (AUDIT-C). A questionnaire for socio- demographic data and two for psychological data (Thermometer of psychological distress; ESAS), have been used. The medical data were reported by participants and verified on medical records.

RESULTS

In a total of 11 months, 120 women with breast cancer were included in this study. A large majority of patients were hospitalized for a first-time cancer (80.8%), type invasive ductal carcinoma (70.8%) and were receiving surgery as primary treatment (45%). Furthermore, 30.8% of the women reported tobacco consumption and 38.4% high-risk alcohol consumption. Regarding mental health, 40.8% presented moderate to intense levels of psychological distress. No significant relationships were found between consumption scores and sociodemographic, medical or psychological characteristics. Only the patient's age was negatively associated with tobacco consumption.

DISCUSSION

Tobacco and at-risk alcohol consumption are frequently reported behaviors during breast cancer treatment. Intervention strategies targeting risk behaviors related to addictive consumption should be implemented during the full treatment of breast cancer patients.

Development and Validation of a Risk Score Model for Predicting the Cardiovascular Outcomes After Breast Cancer Therapy: The CHEMO-RADIAT Score

Background Cardiovascular disease is an important cause of mortality among survivors of breast cancer (BC). We developed a prediction model for major adverse cardiovascular events after BC therapy, which is based on conventional and BC treatment-related cardiovascular risk factors. Methods and Results The cohort of the study consisted of 1256 Asian female patients with BC from 4 medical centers in Korea and was randomized in a 1:1 ratio into the derivation and validation cohorts. The outcome measures comprised cardiovascular mortality, myocardial infarction, congestive heart failure, and transient ischemic attack/stroke. To correct overfitting, a penalized Cox proportional hazards regression was performed with a cross-validation approach. Number of cardiovascular diseases (myocardial infarction, peripheral artery disease, heart failure, and transient ischemic attack/stroke), number of baseline cardiovascular risk factors (hypertension, age ≥60, body mass index ≥30 kg/m², estimated glomerular filtration rate <60 mL/min per 1.73 m², dyslipidemia, and diabetes mellitus), radiation to the left breast, and anthracycline dose per 100 mg/m² were included in the risk prediction model. The time-dependent C-indices at 3 and 7 years after BC diagnosis were 0.876 and 0.842, respectively, in the validation cohort. Conclusions A prediction score model, including BC treatment-related risk factors and conventional risk factors, was developed and validated to predict major adverse cardiovascular events in patients with BC. The CHEMO-RADIAT (congestive heart failure, hypertension, elderly, myocardial infarction/peripheral artery occlusive disease, obesity, renal failure, abnormal lipid profile, diabetes mellitus, irradiation of the left breast, anthracycline dose, and transient ischemic attack/stroke) score may provide overall cardiovascular risk stratification in survivors of BC and can assist physicians in multidisciplinary decision-making regarding the BC treatment.

Development and Validation of a Risk Score Model for Predicting the Cardiovascular Outcomes After Breast Cancer Therapy: The CHEMO-RADIAT Score

Background Cardiovascular disease is an important cause of mortality among survivors of breast cancer (BC). We developed a prediction model for major adverse cardiovascular events after BC therapy, which is based on conventional and BC treatment-related cardiovascular risk factors. Methods and Results The cohort of the study consisted of 1256 Asian female patients with BC from 4 medical centers in Korea and was randomized in a 1:1 ratio into the derivation and validation cohorts. The outcome measures comprised cardiovascular mortality, myocardial infarction, congestive heart failure, and transient ischemic attack/stroke. To correct overfitting, a penalized Cox proportional hazards regression was performed with a cross-validation approach. Number of cardiovascular diseases (myocardial infarction, peripheral artery disease, heart failure, and transient ischemic attack/stroke), number of baseline cardiovascular risk factors (hypertension, age ≥60, body mass index ≥30 kg/m2, estimated glomerular filtration rate <60 mL/min per 1.73 m2, dyslipidemia, and diabetes mellitus), radiation to the left breast, and anthracycline dose per 100 mg/m2 were included in the risk prediction model. The time-dependent C-indices at 3 and 7 years after BC diagnosis were 0.876 and 0.842, respectively, in the validation cohort. Conclusions A prediction score model, including BC treatment-related risk factors and conventional risk factors, was developed and validated to predict major adverse cardiovascular events in patients with BC. The CHEMO-RADIAT (congestive heart failure, hypertension, elderly, myocardial infarction/peripheral artery occlusive disease, obesity, renal failure, abnormal lipid profile, diabetes mellitus, irradiation of the left breast, anthracycline dose, and transient ischemic attack/stroke) score may provide overall cardiovascular risk stratification in survivors of BC and can assist physicians in multidisciplinary decision-making regarding the BC treatment.

Smoking Cessation after a Cancer Diagnosis: A Cross-Sectional Analysis in the Setting of a Developing Country

Since smoking accounts for around 30% of all cancer deaths, public health campaigns often focus on smoking cessation as a means of primary prevention. However, smoking after cancer diagnosis is also associated with a higher symptom burden and lower survival rate. As data regarding smoking cessation vary dramatically between different populations, we aimed to analyze smoking prevalence in cancer patients, smoking cessation after cancer diagnosis, and the factors associated with smoking cessation in the setting of a developing country. We performed a cross-sectional survey on 695 patients in two clinical hospital centers. After cancer diagnosis, 15.6% of cancer patients stopped smoking. Male gender, younger age, and smoking-related cancer were the main factors associated with greater smoking cessation (p < 0.05). A total of 96% of breast cancer patients continued to smoke after cancer diagnosis and, compared to lung and colorectal cancer patients, exhibited a lower reduction in the number of cigarettes smoked (p = 0.023). An alarming rate of smoking prevalence was recorded in younger patients (45.6% at the time of cancer diagnosis) suggesting a future rise in smoking-related cancers and complications. These results should guide anti-smoking public health campaigns in transitional countries with a critical focus on younger and breast cancer patients.

Preoperative contingency management intervention for smoking abstinence in cancer patients: trial protocol for a multisite randomised controlled trial

INTRODUCTION

Continued smoking following a cancer diagnosis has substantial health risks including increased overall and cancer-specific mortality, risk of secondary malignancies, cancer treatment toxicity and risk of surgical complications. These risks can be mitigated by quitting smoking. The preoperative period represents a prime opportunity in which to administer robust smoking cessation treatment to both improve health and support and improve surgical outcomes. We will conduct a randomised clinical trial to evaluate the effectiveness of financial incentives delivered contingent on biochemically verified smoking abstinence (contingency management (CM)) in patients with cancer undergoing surgery.

METHODS AND ANALYSIS

The study will take place across two study sites, and participants (N=282) who smoke, are diagnosed with or suspected to have any type of operable cancer and have a surgical procedure scheduled in the next 10 days to 5 weeks will be randomised to receive standard care plus Monitoring Only or CM prior to surgery. All patients will receive breath carbon monoxide (CO) tests three times per week, nicotine replacement therapy and counselling. The CM group will also earn payments for self-reported smoking abstinence confirmed by CO breath test ≤4 ppm on an escalating schedule of reinforcement (with a reset if they smoked). Point prevalence abstinence (PPA) outcomes (self-report of 7-day abstinence confirmed by CO≤4 ppm and/or anabasine ≤2 ng/mL) will be assessed on the day of surgery and 6 months after surgery. The effect of CM on 7-day PPA at the time of surgery and 6-month follow-up will be modelled using generalised linear mixed effects models.

ETHICS AND DISSEMINATION

This study has been reviewed and approved by the Medical University of South Carolina Institutional Review Board. We will disseminate our scientific results through traditional research-oriented outlets such as presentations at scientific meetings and publications in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

NCT04605458.

Breast Cancer (BC) Is a Window of Opportunity for Smoking Cessation: Results of a Retrospective Analysis of 1234 BC Survivors in Follow-Up Consultation

Breast cancer (BC) is the most commonly diagnosed type of cancer and the leading cause of cancer deaths in women. Smoking is the principal modifiable risk factor for cancers and has a negative influence on long-term survival. We conducted a retrospective study on consecutive BC survivors seen at follow-up consultations between 3 June and 30 October 2019 at Institut Curie, Paris, France. Smoking behaviors were evaluated prospectively via interviewer-administered questionnaires. The aim of this study was to describe smoking-related patient care at diagnosis and smoking cessation patterns in women with a history of BC. A total of 1234 patients were included in the study. Smoking status at diagnosis was missing from electronic health records in 32% of cases, including 13% of patients who smoke. Only 20% of the 197 patients currently smoking at diagnosis recalled having a discussion about smoking with a healthcare professional. Radiotherapists and surgeons were more likely to talk about complications than other practitioners. The main type of information provided was general advice to stop smoking (n = 110), followed by treatment complications (n = 48), while only five patients were referred to tobaccologists. Since diagnosis, 33% (n = 65) of the patients currently smoking had quit. Patients who quit had a lower alcohol consumption, but no other factor was associated with smoking cessation. The main motivation for tobacco withdrawal was the fear of BC relapse (63%). This study highlights room for improvement in the assessment of smoking behavior. Our data raise important perspectives for considering BC treatment and follow-up as a window of opportunity for smoking cessation.

Prevalence and determinants of quitting smoking after cancer diagnosis: a prospective cohort study

OBJECTIVE

To describe smoking behaviours of patients with incident cancer attending an Italian cancer centre and to examine changes in their smoking habits within 12 months from cancer diagnosis, evaluating determinants of smoking cessation.

METHODS

A hospital-based prospective cohort included patients hospitalized in an Italian cancer centre (2016-2018). Patients were mostly female (74%) and included a limited proportion of aerodigestive cancers (7%). Face-to-face interviews were performed during hospital stay to gather information on patient characteristics and smoking history. Changes in smoking habits were assessed through telephone interviews at 3, at 6, and at 12 months after cancer diagnosis.

RESULTS

Among 1011 enrolled patients, 222 (22%) were current smokers at cancer diagnosis. Smoking prevalence was high in male patients (30%), in patients <50 years old (28%), in those with aerodigestive cancers (50%), and in those diagnosed at advanced stages (26%). Among current smokers at cancer diagnosis, 38% quit smoking after 12 months, 26% reduced intensity, and 36% did not modify smoking habits. Smoking cessation was associated with chemotherapy and, although not statistically significant, with female sex, older age, and advanced cancer stage. Patients with gastrointestinal, breast, or genitourinary cancer and those treated with surgery were less likely to quit smoking.

CONCLUSIONS

Our results highlighted that 62% of smoking patients with cancer did not quit the habit. Smoking cessation programs targeted to patients with cancer need intensification, particularly for those who may underestimate smoking effects after diagnosis.

Impact of smoking behavior on survival following allogeneic hematopoietic stem cell transplantation - smoking cessation matters

INTRODUCTION

There are only few data on the impact of smoking and smoking cessation on outcome of patients treated with allogeneic hematopoietic stem cell transplantation, a well established therapy for hematologic malignancies.

METHODS

In a retrospective cohort study design we examined impact of smoking and smoking cessation on survival among 309 eligible consecutive adults who underwent allogeneic hematopoietic stem cell transplantation using reduced-intensity (n=179) or myeloablative (n=130) conditioning between 1999 and 2018.

RESULTS

Smoking and was independently associated with increased mortality with a five-year overall survival of 25% in current smokers vs. 53% in never smokers vs. 48% in past smokers. Never smokers lived significantly longer (HR: 2.00, 95%CI: 1.19-3.35, p=0.008) and had a better event-free survival (HR: 2.11, 95%CI: 1.27-3.49, p=0.004) than current smokers. In the long run never smokers also lived significantly longer than past smokers (HR: 1.45, 95%CI: 1.16-1.81, p = 0.001). Patients who quit smoking prior to allogeneic hematopoietic stem cell transplantation showed a tendency towards increased survival compared to those continued smoking (HR: 1.53, 95%CI: 0.95-2.45, p = 0.078). In relation to life-time cigarette dose smokers with low-dose (1-10 pack-years) cigarette consumption lived significantly longer (HR: 1.60, 95%CI: 1.03-2.50, p=0.037) and had a better event-free survival (HR: 1.66, 95%CI: 1.07-2.58, p=0.025) than patients with high-dose (≥ 10 pack-years) cigarette consumption.

CONCLUSIONS

In allogeneic hematopoietic stem cell transplantation for hematologic malignancies, smoking history per se, life-time cigarette dose, and continued smoking, were significantly associated with increased all-cause mortality and reduced event-free survival.

IMPLICATIONS

Continued and past smoking represent established risk factors for malignant and non-malignant diseases, however, they are also a strong risk factor for a poor outcome after allogeneic hematopoietic stem cell transplantation for hematologic diseases. Our study shows that the hazard ratio for death after such a transplantation is doubled if patients continue smoking and even if they have quit smoking, their risk remains significantly elevated. This suggests that the smoking history provides important predictive factors for outcome of allogeneic hematopoietic stem cell transplantation and that smoking cessation should be implemented in the treatment of hematologic diseases as early as possible.

Mixed-methods economic evaluation of the implementation of tobacco treatment programs in National Cancer Institute-designated cancer centers

Background

The Cancer Center Cessation Initiative (C3I) was launched in 2017 as a part of the NCI Cancer Moonshot program to assist NCI-designated cancer centers in developing tobacco treatment programs for oncology patients. Participating centers have implemented varied evidence-based programs that fit their institutional resources and needs, offering a wide range of services including in-person and telephone-based counseling, point of care, interactive voice response systems, referral to the quitline, text- and web-based services, and medications.

Methods

We used a mixed methods comparative case study design to evaluate system-level implementation costs across 15 C3I-funded cancer centers that reported for at least one 6-month period between July 2018 and June 2020. We analyzed operating costs by resource category (e.g., personnel, medications) concurrently with transcripts from semi-structured key-informant interviews conducted during site visits. Personnel salary costs were estimated using Bureau of Labor Statistics wage data adjusted for area and occupation, and non-wage benefits. Qualitative findings provided additional information on intangible resources and contextual factors related to implementation costs.

Results

Median total monthly operating costs across funded centers were $11,045 (range: $5129–$20,751). The largest median operating cost category was personnel ($10,307; range: $4122–$19,794), with the highest personnel costs attributable to the provision of in-person program services. Monthly (non-zero) cost ranges for other categories were medications ($17–$573), materials ($6–$435), training ($96–$516), technology ($171–$2759), and equipment ($10–$620). Median cost-per-participant was $466 (range: $70–$2093) and cost-per-quit was $2688 (range: $330–$9628), with sites offering different combinations of program components, ranging from individually-delivered in-person counseling only to one program that offered all components. Site interviews provided context for understanding variations in program components and their cost implications.

Conclusions

Among most centers that have progressed in tobacco treatment program implementation, cost-per-quit was modest relative to other prevention interventions. Although select centers have achieved similar average costs by offering program components of various levels of intensity, they have varied widely in program reach and effectiveness. Evaluating implementation costs of such programs alongside reach and effectiveness is necessary to provide decision makers in oncology settings with the important additional information needed to optimize resource allocation when establishing tobacco treatment programs.

Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium

BACKGROUND

It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype.

METHODS

We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer-specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype.

RESULTS

There was no evidence of heterogeneous associations between risk factors and mortality by subtype (P adj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5-25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus <20 years at first pregnancy [0.79 (0.72-0.86)]; >0-<5 years versus ≥10 years since last full-term birth [1.31 (1.11-1.55)]; ever versus never use of oral contraceptives [0.91 (0.87-0.96)]; ever versus never use of menopausal hormone therapy, including current estrogen-progestin therapy [0.61 (0.54-0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02-1.21) for current versus never smoking.

CONCLUSIONS

We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype.

IMPACT

Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.

Exploring the lengthiest ambulatory breast surgery clinic appointments: is the patient the problem?

Background

Prolonged outpatient clinic appointments can disrupt schedules, impacting patients and providers. We sought to define features of the longest ambulatory appointments in a breast surgery clinic, and to ascertain whether patients attending these appointments consistently have protracted appointments.

Methods

A single-institution retrospective cohort study was conducted of breast surgery clinic patients, January 2017 to May 2019, and the longest 1% of appointments identified using a real-time patient tracking system. A primary chart review was performed, and data abstracted. Other appointments attended by these patients were identified, and the ratio of appointments >75th percentile duration (protracted appointments) to the total appointments during the study period was calculated, enabling comparison for patients with consistently protracted (ratio >50%) vs. sporadically protracted appointments (≤50%). Descriptive analysis was performed, and results reported as medians with inter-quartile ranges.

Results

A total of 15,265 clinic appointments were identified, and the longest 148 (exceeding 244 minutes) analyzed. Median appointment length was 264 minutes (inter-quartile range: 253-290). 70% were new patient appointments, and 54% of patients underwent a test/investigation that day. A minority were obese (39%), smokers (41%), diagnosed with a psychiatric comorbidity (34%), had a genetic cancer syndrome (22%), or received unexpected news at their appointment (16%). Of 118 patients with multiple appointments, 26% had consistently protracted appointments and 74% sporadically protracted appointments.

Conclusions

The lengthiest appointments are usually newly diagnosed cancer patients. Only a minority of patients have consistently protracted appointments, implying that a patient's previously prolonged appointment may not predict future long appointments.

Nicotine promotes breast cancer metastasis by stimulating N2 neutrophils and generating pre-metastatic niche in lung

Smoking has a profound impact on tumor immunity, and nicotine, which is the major addictive component of smoke, is known to promote tumor progression despite being a non-carcinogen. In this study, we demonstrate that chronic exposure of nicotine plays a critical role in the formation of pre-metastatic niche within the lungs by recruiting pro-tumor N2-neutrophils. This pre-metastatic niche promotes the release of STAT3-activated lipocalin 2 (LCN2), a secretory glycoprotein from the N2-neutrophils, and induces mesenchymal-epithelial transition of tumor cells thereby facilitating colonization and metastatic outgrowth. Elevated levels of serum and urine LCN2 is elevated in early-stage breast cancer patients and cancer-free females with smoking history, suggesting that LCN2 serve as a promising prognostic biomarker for predicting increased risk of metastatic disease in female smoker(s). Moreover, natural compound, salidroside effectively abrogates nicotine-induced neutrophil polarization and consequently reduced lung metastasis of hormone receptor-negative breast cancer cells. Our findings suggest a pro-metastatic role of nicotine-induced N2-neutrophils for cancer cell colonization in the lungs and illuminate the therapeutic use of salidroside to enhance the anti-tumor activity of neutrophils in breast cancer patients.

Smoking is known to impact tumor immunity and promote tumor progression. Here, the authors show that chronic nicotine exposure promotes the lung pre-metastatic niche formation by recruiting pro-tumor N2-neutrophils that release lipocalin-2.

Tobacco Use and Treatment among Cancer Survivors

Tobacco use is causally associated with the risk of developing multiple health conditions, including over a dozen types of cancer, and is responsible for 30% of cancer deaths in the U [...].

Breast cancer risk factors and their effects on survival: a Mendelian randomisation study

BACKGROUND

Observational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aimed to examine the potential causal association between breast cancer-specific survival and nine established risk factors for breast cancer: alcohol consumption, body mass index, height, physical activity, mammographic density, age at menarche or menopause, smoking, and type 2 diabetes mellitus (T2DM).

METHODS

We conducted a two-sample MR analysis on data from the Breast Cancer Association Consortium (BCAC) and risk factor summary estimates from the GWAS Catalog. The BCAC data included 86,627 female patients of European ancestry with 7054 breast cancer-specific deaths during 15 years of follow-up. Of these, 59,378 were estrogen receptor (ER)-positive and 13,692 were ER-negative breast cancer patients. For the significant association, we used sensitivity analyses and a multivariable MR model. All risk factor associations were also examined in a model adjusted by other prognostic factors.

RESULTS

Increased genetic liability to T2DM was significantly associated with worse breast cancer-specific survival (hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.03-1.17, P value [P] = 0.003). There were no significant associations after multiple testing correction for any of the risk factors in the ER-status subtypes. For the reported significant association with T2DM, the sensitivity analyses did not show evidence for violation of the MR assumptions nor that the association was due to increased BMI. The association remained significant when adjusting by other prognostic factors.

CONCLUSIONS

This extensive MR analysis suggests that T2DM may be causally associated with worse breast cancer-specific survival and therefore that treating T2DM may improve prognosis.

Smoking cessation potential among newly diagnosed cancer patients: a population-based study of the ten most common cancers in Massachusetts, USA, 2008-2013

PURPOSE

In cancer patients, cigarette smoking is causally linked with increased mortality. We examined the relationship between smoking status at the time of diagnosis and cancer mortality to help estimate the scope of smoking cessation services required to meet the needs of cancer patients.

METHODS

We studied the ten most common cancers in Massachusetts, 2008-2013 including 175,489 incident cases and used smoking status at the time of diagnosis to provide smoking prevalence. We calculated adjusted hazard ratios of all-cause mortality comparing smoker subgroups.

RESULTS

Smoking prevalence was more than threefold higher for lung cancer and more than twofold higher for head and neck cancer and bladder cancer than in the general population. Cancer cases who smoked at the time of diagnosis had a higher adjusted mortality rate than cancer cases who were former smokers. The three sites with the highest increased hazard ratios comparing current smokers with former smokers were cancers of the thyroid (HR = 1.67, 95% CI 1.14-2.45), head and neck (HR = 1.65, 95% CI 1.39-1.95), and prostate (HR = 1.60, 95% CI 1.36-1.90).

CONCLUSIONS

Smoking remains high among cancer patients. More widespread adoption of smoking cessation programs among cancer patients may play a substantial role in improving cancer morbidity and mortality.

Breast cancer, screening and diagnostic tools: All you need to know

Breast cancer is one of the most frequent malignancies among women worldwide. Methods for screening and diagnosis allow health care professionals to provide personalized treatments that improve the outcome and survival. Scientists and physicians are working side-by-side to develop evidence-based guidelines and equipment to detect cancer earlier. However, the lack of comprehensive interdisciplinary information and understanding between biomedical, medical, and technology professionals makes innovation of new screening and diagnosis tools difficult. This critical review gathers, for the first time, information concerning normal breast and cancer biology, established and emerging methods for screening and diagnosis, staging and grading, molecular and genetic biomarkers. Our purpose is to address key interdisciplinary information about these methods for physicians and scientists. Only the multidisciplinary interaction and communication between scientists, health care professionals, technical experts and patients will lead to the development of better detection tools and methods for an improved screening and early diagnosis.

Impact of a tobacco treatment program on abstinence and survival rates among current smokers with head and neck squamous cell carcinoma

BACKGROUND

Approximately one quarter of head and neck cancer (HNC) patients smoke cigarettes at the time of diagnosis. Despite HNC guideline recommendations to treat tobacco dependence, the effectiveness of treatment in this population is poorly described.

METHODS

This retrospective cohort review evaluated 117 current smokers with p16-negative mucosal head and neck squamous cell carcinoma prospectively enrolled in a tobacco treatment program. Seven-day point prevalence tobacco abstinence rates at 9 months and survival outcomes were compared among abstinent and nonabstinent groups.

RESULTS

Median follow-up among survivors was 62.4 months. Forty percent of patients were abstinent at 9 months according to intention-to-treat analysis. After adjustment for age, comorbidity and site, abstinent stage I to II patients had a decreased risk of death compared to smoking stage I to II patients (HR 0.15, 95% CI 0.03-0.82).

CONCLUSIONS

High cohort abstinence rates and favorable survival among abstinent patients with early-stage HNC confirm the importance of tobacco dependence treatment in this population.

European practice patterns and barriers to smoking cessation after a cancer diagnosis in the setting of curative versus palliative cancer treatment

BACKGROUND

Smoking cessation after a cancer diagnosis is associated with improved overall survival. Few studies have reported oncologists' cessation practice patterns, but differences between the curative and palliative settings have not been described. We aimed to study the oncologist's perceptions on patients' tobacco use, current practices and barriers to providing smoking cessation support, while distinguishing between treatment with curative (C) and palliative (P) intent.

METHODS

In 2019, an online 34-item survey was sent to approximately 6235 oncologists from 16 European countries. Responses were descriptively reported and compared by treatment setting.

RESULTS

Responses from 544 oncologists were included. Oncologists appeared to favour addressing tobacco in the curative setting more than in the palliative setting. Oncologists believe that continued smoking impacts treatment outcomes (C: 94%, P: 74%) and that cessation support should be standard cancer care (C: 95%, P: 63%). Most routinely assess tobacco use (C: 93%, P: 78%) and advise patients to stop using tobacco (C: 88%, P: 54%), but only 24% (P)-39% (C) routinely discuss medication options, and only 18% (P)-31% (C) provide cessation support. Hesitation to remove a pleasurable habit (C: 13%, P: 43%) and disbelieve on smoking affecting outcomes (C: 3%, P: 14%) were disparate barriers between the curative and palliative settings (p < 0.001), but dominant barriers of time, resources, education and patient resistance were similar between settings.

CONCLUSION

Oncologists appear to favour addressing tobacco use more in the curative setting; however, they discuss medication options and/or provide cessation support in a minority of cases. All patients who report current smoking should have access to evidence-based smoking cessation support, also patients treated with palliative intent given their increasing survival.

Cardiovascular disease, risk factors, and health behaviors among cancer survivors and spouses: A MEPS Study

Purpose

The purpose of this study was to examine the prevalences of CVD, CVD risk factors. and health behaviors among cancer survivor‐spouse dyads, assess how these prevalences differ by role (survivor vs spouse) and gender, and report congruences in health behaviors between survivors and their spouses.

Methods

We identified 1026 survivor‐spouse dyads from the 2010‐2015 Medical Expenditure Panel Survey. We used weighted multivariable logistic and linear regressions to analyze the data related to CVD, CVD risk factors, and health behaviors.

Results

Survivors and spouses reported high prevalences of CVD and CVD risk factors but low engagement in healthy behaviors, including non‐smoking, physical activity, and maintaining a healthy weight (proxy for healthy diet). Gender and role differences were significantly related to the prevalence of CVD, CVD risk factors, and health behaviors among survivors and spouses. From 39% to 88% of survivors and spouses were congruent in their current smoking status, physical activity engagement/disengagement, and BMI.

Conclusion

Cancer survivors and spouses have high rates of CVD and CVD risk factors and poor engagement in healthful lifestyle behaviors. A high proportion of survivors and spouses were congruent in their current smoking status, physical activity engagement/disengagement, and BMI. Effective lifestyle interventions are needed for this high‐risk population. Couple‐focused interventions may be well‐suited for these dyads and warrant further study.

Implications for Cancer Survivors

Both cancer survivors and their spouses need to be non‐moking, more physically active, and maintain normal BMI in order to reduce their high risk of CVD and CVD risk factors.

Why is renal impairment associated with poorer cancer specific survival in breast cancer patients?: a comparison with patients with other comorbidities

Background

Our aim is to assess whether the poor breast cancer specific survival (BCSS) seen in women with breast cancer and impaired renal function can be explained by associations with other prognostic factors.

Methods

The study group was a consecutive series of patients undergoing breast ultrasound (US) who had invasive breast cancer (n = 1171). All women had their US diameter and mean stiffness (kPa) at shear wave elastography (SWE) recorded. The core biopsy grade and receptor status were noted. Core biopsy of abnormal axillary nodes and the patient referral source was also noted. Survival including cause of death was ascertained. Comorbidities at diagnosis were recorded. Patients were divided into those with a GFR<60 (“renal group”), those with other comorbidities and those with none. BCSS was assessed using Kaplan–Meier survival curves and Cox proportional hazards regression.

Results

One thousand, one hundred and forty-one patients constituted the study group. 107 (9%) patients had impaired renal function, 182 (16%) had other comorbidities while 852 (75%) had no comorbidities. Mean follow-up was 5.8 years. 109 breast cancer and 122 non-breast cancer deaths occurred. BCSS in the renal group was significantly worse than the other groups. Women with renal comorbidity were older, more likely to present symptomatically, have a pre-operative diagnosis of axillary metastases, and have larger and stiffer cancers. Cox proportional hazards regression showed that renal impairment maintained independent significance.

Conclusion

The poor BCSS in women with impaired renal function is partially explained by advanced tumour stage at presentation. However, impaired renal function maintains an independent prognostic effect.