Cigarette smoking and survival after ovarian cancer diagnosis

Smoking as a prognostic factor for survival in patients with disseminated germ cell cancer

We investigated the impact of smoking on overall survival (OS) in testicular germ cell cancer (TC) patients receiving first-line combination chemotherapy (bleomycin-etoposide-cisplatin [BEP]). Patients who received BEP for metastatic TC were identified in the Danish Testicular Cancer database. Information on smoking status at the time of diagnosis was obtained by medical record review. OS and cause of death were compared between current smokers and never-smokers. Of 1883 eligible patients, information on smoking status was available in 1156 patients, of whom 602 were current smokers. The 10-year OS was 92% in never-smokers compared with 83% in current smokers (P < .001) (hazard ratio for death = 1.85, 95% confidence interval = 1.29 to 2.66, P = .001). A higher proportion of current smokers died of TC compared with nonsmokers (P < .01). Smoking negatively affects survival after BEP in patients with disseminated TC. Vigorous smoking cessation programs are advocated in TC patients.

Efficacy of smartphone applications to help cancer patients quit smoking: Protocol of the Quit2Heal randomized controlled trial

Cigarette smoking is highly prevalent among cancer patients in the United States (US), with up to half of cancer patients smoking at the time of their initial cancer diagnosis. However, evidence-based cessation programs are rarely implemented in oncology care, and smoking is not consistently treated in cancer treatment settings. Consequently, there is an urgent need for accessible and efficacious cessation treatments that are uniquely tailored to the needs of cancer patients. Here we describe the design and implementation of a randomized controlled trial (RCT) testing the efficacy of a smartphone app (Quit2Heal) versus a US Clinical Practice Guidelines-based app (QuitGuide) for smoking cessation among a planned sample of 422 cancer patients. Quit2Heal is designed to address cancer-related shame, stigma, depression, anxiety, and knowledge about the consequences of smoking/quitting. Quit2Heal is based on the principles of Acceptance and Commitment Therapy, a behavioral therapy that teaches skills for accepting cravings to smoke without smoking, values-driven motivation to quit, and preventing relapse. The primary aim of the RCT is to determine whether Quit2Heal has significantly higher self-reported 30-day point prevalence abstinence at 12 months relative to QuitGuide. The trial will also determine whether Quit2Heal's effect on cessation is (1) mediated by improvements in cancer-related shame, stigma, depression, anxiety, and knowledge about the consequences of smoking/quitting; and (2) moderated by baseline factors (e.g., cancer type, stage, time since diagnosis). If successful, Quit2Heal will offer a more efficacious, broadly scalable smoking cessation treatment that could be implemented alongside existing oncology care, thereby improving cancer outcomes.

Utility of Matrix Metalloproteinases in the Diagnosis, Monitoring and Prognosis of Ovarian Cancer Patients

Ovarian cancer is one of the most common gynecologic malignancies. It is characterized by a high mortality rate, which is mainly due to the asymptomatic course of the disease. In light of the high mortality rate and increasing morbidity, new diagnostic methods are being explored to enable earlier detection, better monitoring, and improved prognosis. Such diagnostic methods include the assessment of tumor markers in various biological samples. Among the markers currently being investigated, extracellular matrix metalloproteinases (MMPs) are of particular interest. The objective of this article was to compile the existing knowledge of MMPs in ovarian cancer patients and to describe their potential diagnostic utility. Additionally, this article provides an overview of the symptoms, complications, and risk factors associated with ovarian cancer and the role of MMPs in physiology and pathology. Preliminary results indicate that tissue expression and blood and body fluid levels of MMPs may be different in ovarian cancer patients than in healthy women. The expression and concentration of individual MMPs have been shown to be correlated with cancer stage and disease severity. In addition, the preliminary value of some of these enzymes in predicting prognosis is discussed. However, as the amount of data is limited, more studies are needed to fully evaluate the potential function of individual MMPs in ovarian cancer patients. Based on the knowledge gathered for this article, it seems that MMP-2, MMP-3, MMP-7, MMP-8, MMP-9, MMP-13, are tentatively the most useful. A thorough evaluation of their utility as modern biomarkers in ovarian cancer requires further investigation.

Tobacco Smoking and Survival Following a Diagnosis with Ovarian Cancer

BACKGROUND

Little is known about the influence of smoking on ovarian cancer survival. We investigated this relationship in a hospital-based study.

METHODS

Analyses included 519 women with ovarian cancer. We used multivariable adjusted Cox proportional hazards regression models to estimate HRs and 95% confidence intervals (CI).

RESULTS

Risk of all-cause mortality was increased for current smokers (HR = 1.70; 95% CI: 1.09-2.63) versus never smokers, especially for those with ≥15 cigarettes per day (HR = 1.92; 95% CI: 1.15-3.20). Results were largely similar after additional adjustment for debulking status (current vs. never smokers, HR = 2.96; 95% CI: 1.07-8.21) or neoadjuvant chemotherapy (comparable HR = 2.87; 95% CI: 1.02-8.06). Compared with never smokers, smoking duration ≥20 years (HR = 1.38; 95% CI: 0.94-2.03) and ≥20 pack-years (HR = 1.35; 95% CI: 0.92-1.99) were suggestively associated with worse outcomes. Current smoking was also positively associated with the risk of mortality among patients with ovarian cancer recurrence (current vs. never/past smokers, HR = 2.79; 95% CI: 1.44-5.41), despite the null association between smoking and recurrence (HR = 1.46; 95% CI: 0.86-2.48). Furthermore, no association was observed for smoking initiation before age 18 (HR = 1.22; 95% CI: 0.80-1.85), or either environmental smoke exposure at home (HR = 1.16; 95% CI: 0.76-1.78) or at work (HR = 1.10; 95% CI: 0.75-1.60).

CONCLUSIONS

Our results suggest active tobacco smoking is associated with worse ovarian cancer outcomes, particularly after a recurrence.

IMPACT

Our findings support structured smoking cessation programs for patients with ovarian cancer, especially in recurrent settings. Further research to confirm these findings and examine the interplay between smoking and the tumor immune microenvironment may help provide insight into ovarian cancer etiology.

Long-term survival of non-localized epithelial ovarian cancer among women using menopausal hormone therapy prior to diagnosis - the Extreme study

Prediagnostic use of menopausal hormone therapy (MHT) has been suggested to be associated with improved survival of epithelial ovarian cancer (EOC). We investigated the potential long‐term survival benefit of prediagnostic MHT use in women ≥50 years with nonlocalized EOC using the Extreme study including all women in Denmark registered with nonlocalized EOC during 2000 to 2014 (N = 3776). We obtained individual‐level information on prediagnostic use of systemic estrogen therapy (ET) and estrogen plus progestin therapy (EPT) from the National Prescription Registry and estimated absolute and relative 5‐ and 10‐year survival probabilities with 95% confidence intervals (CIs) using pseudo‐values, taking into account histology, comorbidity, income and residual disease. Among women not having used prediagnostic MHT, 5‐ and 10‐year absolute survival probabilities were 19% and 11%, respectively. Compared to MHT nonusers, prediagnostic systemic ET use for 3 to 4 years and ≥ 5 years was associated with 1.43 (95% CI: 1.01‐2.02) and 1.22 (95% CI: 0.96‐1.55) times higher 5‐year survival probabilities, respectively. Ten‐year survival probabilities were also increased but not statistically significantly. Among prediagnostic EPT users, increased 5‐year (1.14, 95% CI: 0.85‐1.53) and 10‐year (1.38, 95% CI: 0.91‐2.08) survival probabilities were observed after use for 3 to 4 years compared to MHT nonuse, whereas EPT use for ≥5 years was not associated with long‐term survival of nonlocalized EOC. Our findings may suggest a better long‐term survival of nonlocalized EOC in women having used long‐term prediagnostic ET. However, the statistical precision of our results did not allow firm conclusions and more studies are needed.

The impact of tobacco smoking on survival of patients with oral squamous cell carcinoma: a population-based retrospective study

BACKGROUND

This article aims to evaluate the impact of smoking status, accumulated tobacco exposure (ATE), and smoking cessation on overall- and disease-free survival (OS and DFS) of patients with oral squamous cell carcinoma (OSCC).

MATERIAL AND METHODS

Patients with primary OSCC treated with curative intent between 2000 and 2019 in Copenhagen were included (n = 1808). Kaplan-Meier curves and multivariable Cox regression analyses were performed to compare the survival of patients with different smoking history. Interactions between ATE and (A) tumor subsite and (B) excessive alcohol consumption (EAC) on the survival were evaluated using multivariable Cox regression analyses with interaction terms.

RESULTS

We included 1717 patients with known smoking status (62.8% males, median age: 64 years (IQR: 57-71 years)), who had a 5-year OS of 53.7% (95%CI: 49.8%-57.9%). Based on fully adjusted multivariable Cox regression analyses, significantly elevated hazard ratios (HRs) for OS and DFS were identified for current, but not former smokers, compared to never-smokers. An approximately linear relationship between continuous ATE and survival estimates was identified. ATE analyzed as a categorical variable showed significantly elevated HRs for OS of patients with all categories (0<x ≤ 30, 30<x ≤ 60, and >60 PYs), however only for DFS of patients with >60 PYs, compared to 0 PYs. Furthermore, an unfavorable long-term prognosis was evident after >3.5 (OS) and >2.5 (DFS) years from diagnosis for patients who continued smoking compared to patients with smoking cessation at diagnosis. The survival estimates of patients with different tumor subsite and alcohol consumption differed with increasing ATE.

CONCLUSION

Tobacco smoking (assessed as smoking status and ATE) was associated with inferior survival (OS and DFS) among patients with OSCC. Unfavorable long-term prognosis was significant for patients who continued smoking compared to patients with smoking cessation at diagnosis. The impact of ATE on survival of patients with OSCC may depend on the tumor subsite and/or alcohol consumption.

Identification of Hypoxia Signature to Assess the Tumor Immune Microenvironment and Predict Prognosis in Patients with Ovarian Cancer

BACKGROUND

The 5-year overall survival rate of ovarian cancer (OC) patients is less than 40%. Hypoxia promotes the proliferation of OC cells and leads to the decline of cell immunity. It is crucial to find potential predictors or risk model related to OC prognosis. This study aimed at establishing the hypoxia-associated gene signature to assess tumor immune microenvironment and predicting the prognosis of OC.

METHODS

The gene expression data of 378 OC patients and 370 OC patients were downloaded from datasets. The hypoxia risk model was constructed to reflect the immune microenvironment in OC and predict prognosis.

RESULTS

8 genes (AKAP12, ALDOC, ANGPTL4, CITED2, ISG20, PPP1R15A, PRDX5, and TGFBI) were included in the hypoxic gene signature. Patients in the high hypoxia risk group showed worse survival. Hypoxia signature significantly related to clinical features and may serve as an independent prognostic factor for OC patients. 2 types of immune cells, plasmacytoid dendritic cell and regulatory T cell, showed a significant infiltration in the tissues of the high hypoxia risk group patients. Most of the immunosuppressive genes (such as ARG1, CD160, CD244, CXCL12, DNMT1, and HAVCR1) and immune checkpoints (such as CD80, CTLA4, and CD274) were upregulated in the high hypoxia risk group. Gene sets related to the high hypoxia risk group were associated with signaling pathways of cell cycle, MAPK, mTOR, PI3K-Akt, VEGF, and AMPK.

CONCLUSION

The hypoxia risk model could serve as an independent prognostic indicator and reflect overall immune response intensity in the OC microenvironment.

The prognostic effect of smoking status on intensively treated acute myeloid leukaemia - A Danish nationwide cohort study

With rising life expectancy, the importance of patient-related prognostic factors and how to integrate such data into clinical decision-making becomes increasingly important. The aim of this study was to evaluate the prognostic impact of smoking status in patients with acute myeloid leukaemia (AML) treated with intensive chemotherapy. We conducted a nationwide cohort study based on data obtained from the Danish National Leukaemia Registry (DNLR). The study comprised Danish patients aged 18-75 years, diagnosed with AML between 1 January 2000 and 31 December 2012. Medical records were reviewed and data on smoking status were collected. A total of 1040 patients (median age 59 years) were included, and 602 patients (58·9%) were categorised as ever-smokers and the remaining as never-smokers. Kaplan-Meier survival estimates revealed that ever-smokers had a significant shorter median overall survival (OS) at 17·2 months [95% CI (14·9;19·1)] compared to never-smokers at 24·5 months (95% CI [19·2;30·7]). Multivariate analysis revealed smoking status as a significant prognostic factor for inferior OS with a hazard ratio (HR) of 1·22 [95% CI (1·04;1·44)]. In conclusion, smoking status was found to be associated with inferior OS in intensively treated AML patients.

A Smartphone App Designed to Help Cancer Patients Stop Smoking: Results From a Pilot Randomized Trial on Feasibility, Acceptability, and Effectiveness

Background

Persistent smoking after a cancer diagnosis predicts worse treatment outcomes and mortality, but access to effective smoking cessation interventions is limited. Smartphone apps can address this problem by providing a highly accessible, low-cost smoking cessation intervention designed for patients with a recent cancer diagnosis.

Objective

This study aimed to summarize our development process and report the trial design, feasibility, participant acceptability, preliminary effectiveness, and impact on processes of change (eg, cancer stigma) of the first-known smoking cessation smartphone app targeted for cancer patients.

Methods

We used an agile, user-centered design framework to develop a fully automated smartphone app called Quit2Heal that provided skills training and stories from cancer survivors focusing on coping with internalized shame, cancer stigma, depression, and anxiety as core triggers of smoking. Quit2Heal was compared with the National Cancer Institute’s QuitGuide, a widely used stop smoking app for the general population, in a pilot double-blinded randomized trial with a 2-month follow-up period. Participants were 59 adult smokers diagnosed with cancer within the past 12 months and recruited through 2 cancer center care networks and social media over a 12-month period. The most common types of cancer diagnosed were lung (21/59, 36%) and breast (10/59, 17%) cancers. The 2-month follow-up survey retention rate was 92% (54/59) and did not differ by study arm (P=.15).

Results

Compared with QuitGuide participants, Quit2Heal participants were more satisfied with their assigned app (90% [19/21] for Quit2Heal vs 65% [17/26] for QuitGuide; P=.047) and were more likely to report that the app assigned to them was made for someone like them (86% [18/21] for Quit2Heal vs 62% [16/26] for QuitGuide; P=.04). Quit2Heal participants opened their app a greater number of times during the 2-month trial period, although this difference was not statistically significant (mean 10.0, SD 14.40 for Quit2Heal vs mean 6.1, SD 5.3 for QuitGuide; P=.33). Self-reported 30-day point prevalence quit rates at the 2-month follow-up were 20% (5/25) for Quit2Heal versus 7% (2/29) for QuitGuide (odds ratio 5.16, 95% CI 0.71-37.29; P=.10). Quit2Heal participants also showed greater improvement in internalized shame, cancer stigma, depression, and anxiety, although these were not statistically significant (all P>.05).

Conclusions

In a pilot randomized trial with a high short-term retention rate, Quit2Heal showed promising acceptability and effectiveness for helping cancer patients stop smoking. Testing in a full-scale randomized controlled trial with a longer follow-up period and a larger sample size is required to test the effectiveness, mediators, and moderators of this promising digital cessation intervention.

Trial Registration

ClinicalTrials.gov NCT03600038; https://clinicaltrials.gov/ct2/show/NCT03600038

Prediagnosis and postdiagnosis smoking and survival following diagnosis with ovarian cancer

Little is known about the influence of prediagnosis and postdiagnosis smoking and smoking cessation on ovarian cancer survival. We investigated this relationship in two prospective cohort studies, the Nurses' Health Study (NHS) and NHSII. Analyses included 1,279 women with confirmed invasive, Stage I-III epithelial ovarian cancer. We used Cox proportional hazards regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ovarian cancer-specific mortality by smoking status, adjusting for age and year of diagnosis, tumor stage, histologic subtype, body mass index and nonsteroidal anti-inflammatory use (postdiagnosis models only). When examining prediagnosis smoking status (assessed a median of 12 months before diagnosis), risk of death was significantly increased for former smokers (HR = 1.19, 95% CI: 1.02-1.39), and suggestively for current smokers (HR = 1.21, 95% CI: 0.96-1.51) vs. never smokers. Longer smoking duration (≥20 years vs. never, HR = 1.23, 95% CI: 1.05-1.45) and higher pack-years (≥20 pack-years vs. never, HR = 1.28, 95% CI: 1.07-1.52) were also associated with worse outcome. With respect to postdiagnosis exposure, women who smoked ≥15 cigarettes per day after diagnosis (assessed a median of 11 months after diagnosis) had increased mortality compared to never smokers (HR = 2.34, 95% CI: 1.63-3.37). Those who continued smoking after diagnosis had 40% higher mortality (HR = 1.40, 95% CI: 1.05-1.87) compared to never smokers. Overall, our results suggest both prediagnosis and postdiagnosis smoking are associated with worse ovarian cancer outcomes.

Association between Cigarette Smoking and Histotype-Specific Epithelial Ovarian Cancer: A Review of Epidemiologic Studies

Many studies have demonstrated that smoking can influence ovarian cancer risk and survival; however, the number of studies investigating this relationship according to histologic subtypes is limited. We conducted a review of epidemiologic research that assessed the role of smoking on ovarian cancer risk and survival after diagnosis, specifically capturing studies that discerned between various histologic subtypes of this disease. In the majority of studies, current smoking was associated with increased risk of mucinous cancer. There was also evidence of a decreased risk of clear cell and endometrioid histotypes. No significant association was observed between cigarette smoking and serous cancer. In the studies investigating the relationship between smoking and survival, all the studies reported an increased risk of mortality associated with smoking. Smoking appeared to be a risk factor for both ovarian cancer risk and mortality. Future studies need to investigate further a potential link between smoking and ovarian cancer by having a better assessment of exposure to smoking and having a larger number of participants with the ability to detect associations within rare histotypes.

Joint exposure to smoking, excessive weight, and physical inactivity and survival of ovarian cancer patients, evidence from the Ovarian Cancer Association Consortium

PURPOSE

Previous epidemiologic studies have shown that smoking, obesity, and physical inactivity are associated with poor survival following a diagnosis of ovarian cancer. Yet, the combined relationship of these unfavorable lifestyle factors on ovarian cancer survival has not been sufficiently investigated.

METHODS

Using data pooled from 13 studies, we examined the associations between combined exposures to smoking, overweight/obesity weight, and physical inactivity and overall survival (OS) as well as progression-free survival (PFS) among women diagnosed with invasive epithelial ovarian carcinoma (n = 7,022). Using age- and stage-adjusted Cox proportional hazards regression models, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) associated with joint exposure to these factors.

RESULTS

Combined exposure to current smoking, overweight/obesity, and physical inactivity prior to diagnosis was associated with a significantly increased risk of mortality compared to women who never smoked, had normal body mass index (BMI), and were physically active (HR = 1.37; 95% CI 1.10-1.70). The association for a joint exposure to these factors exceeded that of each exposure individually. In fact, exposure to both current smoking and overweight/obesity, and current smoking and physical inactivity was also associated with increased risk of death (HR = 1.28; 95% CI 1.08-1.52, and HR = 1.26; 95% CI 1.04-1.54, respectively). The associations were of a similar magnitude when former smoking was assessed in combination with the other exposures and when excessive weight was limited to obesity only. No significant associations were observed between joint exposure to any of these factors and PFS.

CONCLUSIONS

Joint exposure to smoking, excessive weight, and physical inactivity may negatively impact survival of ovarian cancer patients. These results suggest the importance of examining the combined effect of lifestyle factors on ovarian cancer patients' survival.

Tobacco smoking after diagnosis of cancer: clinical aspects

Tobacco smoking accounts for at least 30% of all cancer deaths and nearly 90% of lung cancer deaths. Smoking cessation significantly reduces the risk of developing tobacco-related malignancies. Smoking after cancer diagnosis is also associated with multiple risks, including worse tolerance of treatment, higher risk of a failure and second primary tumors, and poorer quality of life. Apart from disease site and stage, continued smoking is considered the strongest adverse predictor of survival in cancer patients. However, the benefits of smoking cessation are undervalued: many patients are not aware of harms related to continued tobacco use after cancer diagnosis. Furthermore, health care professionals often do not encourage their patients to quit, and do not provide tobacco cessation assistance for continuing tobacco users. Despite the apparent impact of tobacco use on treatment outcomes, data on current smoking status is only rarely captured in clinical trials This article reviews the most important clinical aspects of smoking after the diagnosis of cancer.

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies

Cigarette smoking is associated with an increased risk of developing mucinous ovarian tumors but whether it is associated with ovarian cancer survival overall or for the different histotypes is unestablished. Furthermore, it is unknown whether the association between cigarette smoking and survival differs according to strata of ovarian cancer stage at diagnosis. In a large pooled analysis, we evaluated the association between various measures of cigarette smoking and survival among women with epithelial ovarian cancer. We obtained data from 19 case-control studies in the Ovarian Cancer Association Consortium (OCAC), including 9,114 women diagnosed with ovarian cancer. Cox regression models were used to estimate adjusted study-specific hazard ratios (HRs), which were combined into pooled hazard ratios (pHR) with corresponding 95% confidence intervals (CIs) under random effects models. Overall, 5,149 (57%) women died during a median follow-up period of 7.0 years. Among women diagnosed with ovarian cancer, both current (pHR = 1.17, 95% CI: 1.08-1.28) and former smokers (pHR = 1.10, 95% CI: 1.02-1.18) had worse survival compared with never smoking women. In histotype-stratified analyses, associations were observed for mucinous (current smoking: pHR = 1.91, 95% CI: 1.01-3.65) and serous histotypes (current smoking: pHR = 1.11, 95% CI: 1.00-1.23; former smoking: pHR = 1.12, 95% CI: 1.04-1.20). Further, our results suggested that current smoking has a greater impact on survival among women with localized than disseminated disease. The identification of cigarette smoking as a modifiable factor associated with survival has potential clinical importance as a focus area to improve ovarian cancer prognosis.

Illness perceptions and changes in lifestyle following a gynecological cancer diagnosis: A longitudinal analysis

OBJECTIVE

This study explores patterns of lifestyle change and whether more threatening illness perceptions are associated with lifestyle changes post-treatment for smoking, alcohol consumption and Body Mass Index (BMI) among gynecological cancer patients.

METHODS

In total, 395 cancer patients (N=221 endometrial; N=174 ovarian) were included in this secondary analysis of longitudinal data. Lifestyle outcomes were assessed through self-reported questionnaires after initial treatment and 6, 12, and 18months of follow-up. Illness perceptions were assessed with the Brief Illness Perception Questionnaire (BIPQ). Latent class growth curve analyses were conducted to identify patterns of lifestyle change and linear mixed models using between-subject and within-subject effects to explore the association between BIPQ items and alcohol consumption (glasses/week) and BMI (kg/m²).

RESULTS

After initial treatment, 15% (N=57) of the patients smoked, 53% (N=203) drank alcohol, and 60% (N=236) were overweight or obese. Overall, smokers made no considerable changes, but one subgroup of low level smokers reported positive decline. A slight decrease was observed for alcohol consumption among low and moderate level alcohol drinker subgroups, whereas BMI remained stable among endometrial cancer patients and increased for ovarian cancer patients. Moreover, patients with lower trust in their treatment to cure the disease drank more alcohol (β=0.32 glasses/week [95% CI 0.09; 0.56]).

CONCLUSIONS

Change in lifestyle after a gynecological cancer treatment is not self-evident. Moreover, more threatening illness perceptions were not related to a healthier lifestyle. This study underlines the need for lifestyle-promoting activities to facilitate lifestyle improvement among gynecological cancer patients.

Smoking may modify the association between neoadjuvant chemotherapy and survival from ovarian cancer

OBJECTIVE

Tobacco smoking by cancer patients is associated with increased mortality. Less is known of the impact of smoking on recurrence risk and interaction with chemotherapy treatment. We examined these associations in ovarian cancer.

METHODS

Patients were identified from the Alberta Cancer Registry between 1978 and 2010 and were oversampled for less-common histologic ovarian tumor types. Medical records were abstracted for 678 eligible patients on lifestyle, medical and cancer treatment, and review of pathology slides was performed for 605 patients. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazard models adjusted for age at diagnosis, race, stage and residual disease.

RESULTS

Among patients receiving adjuvant chemotherapy (N=432), current smoking was significantly associated with shorter duration of overall (OS; HR, 8.56; 95% CI, 1.50-48.7) and progression-free (PFS; HR, 5.74; 95% CI, 1.05-31.4) survival from mucinous ovarian cancer only. There was no significant association between neoadjuvant chemotherapy and survival. However, among patients receiving neoadjuvant chemotherapy (N=44), current smokers had shorter PFS (HR, 4.32; 95% CI, 1.36-13.8; N=32 progressed/9 censored events) compared to never smokers, but the HRs were not statistically different across smoking categories (P interaction=0.87).

CONCLUSIONS

Adverse associations were observed between smoking status and OS or PFS among patients with mucinous ovarian cancer receiving adjuvant chemotherapy. No significant effect was found from neoadjuvant chemotherapy on PFS overall; however, smoking may modify this association. Although needing replication, these findings suggest that patients may benefit from smoking cessation interventions prior to treatment with chemotherapy.

Cigarette smoking increases risk of early morbidity after hepatic resection in patients with hepatocellular carcinoma

AIMS

Cigarette smoking is an important risk factor for the development of postoperative pulmonary complications after major surgical procedures. The objective of this study was to investigate whether preoperative smoking has any impact on early morbidity after liver resection for hepatocellular carcinoma (HCC).

METHODS

Data of 425 consecutive patients undergoing partial hepatectomy for HCC was retrospectively reviewed. Smoking and drinking habits, biochemical tests, tumor status, operation data, and any postoperative complications occurring before discharge from the hospital were documented. The risk factors promoting postoperative complications were analyzed by univariate and multivariate methods.

RESULTS

The overall morbidity rate was 40% (170 of 425). 166 patients were current smokers (39%). By multivariate analysis, liver cirrhosis (Risk Ratio (RR) 4.0, 95% confidence interval (CI) 2.0-8.0), smoking status (RR 3.0, 95% CI 1.7-5.1), PY of smoking (RR 1.3, 95% CI 1.1-1.9), preoperative platelet count (RR 1.6, 95% CI 1.4-2.0) and major hepatectomy (RR 1.4, 95% CI 1.1-1.8) were independent risk factors of postoperative morbidity (all p < 0.05). Liver failure, bile leakage, intractable ascites, chest and wound infection were more frequently occurred in smokers than non-smokers. Current smokers had higher postoperative morbidity than non- & former smokers in patients with normal liver and those with liver cirrhosis (p = 0.047 and p < 0.001, respectively).

CONCLUSIONS

Cigarette smoking is an independent risk factor for the development of liver-related and infectious complications in patients undergoing partial hepatectomy for HCC, especially in those with liver cirrhosis.

Socioeconomic status and epithelial ovarian cancer survival in Sweden

PURPOSE

To investigate socioeconomic disparities in epithelial ovarian cancer (EOC) survival in Sweden.

METHODS

A cohort of 635 women with invasive EOC who participated in a nationwide population-based case-control study was included in the present population-based prospective study. Women were diagnosed with EOC between 1993 and 1995. Mortality until 31 December 2007 was determined through linkage with the Swedish Cause of Death Registry. Clinical data (tumor stage and tumor differentiation) and indicators of socioeconomic status (SES, education level, and annual individual disposable income) were retrieved from medical records and a nationwide database, respectively. The Cox proportional hazards regression model and the Laplace regression model were used to estimate the effect of clinical factors and SES on EOC survival.

RESULTS

The main factors associated with EOC survival were tumor stage and tumor differentiation: women with stage II, III, and IV tumors had a greater mortality risk than those with stage I tumors [hazard ratio (HR) 2.65, 95 % confidence interval (CI) 1.73-4.07; HR 6.69, 95 % CI 4.85-9.22; HR 12.84, 95 % CI 8.90-18.66, respectively]. After adjustment for these tumor characteristics, no clear association remained between our indicators of SES and EOC survival, but better survival was observed among women with stage IV tumors and a higher income level, and among women with poorly differentiated tumors and a higher education level. Nevertheless, there was no evidence of extended survival among women with higher compared to lower SES.

CONCLUSIONS

Our study provides no convincing evidence of an association between SES and EOC survival in Sweden.

Impact of cigarette smoking on outcome of hepatocellular carcinoma after surgery in patients with hepatitis B

BACKGROUND AND OBJECTIVES

Cigarette smoking is a potential risk factor for hepatocellular carcinoma (HCC) initiation, partially through interaction with hepatitis B virus (HBV). We examined the hypothesis that cigarette smoking might be associated with HBV-related HCC recurrence and patient survival after curative surgery.

PATIENTS AND METHODS

Data of 302 patients with HBV infection who had undergone curative resection for HCC were prospectively collected from 2008 to 2011. Smoking status and smoking quantity (pack-years, PY) were asked at admission. Factors affecting recurrence-free survival (RFS) were examined. RFS and liver-specific mortality (LSM) stratified by risk factors were compared with log-rank test.

RESULTS

109 were current smokers. Current smokers were not different from non-smokers in tumor burden and surgical procedure. Univariate and multivariate analysis identified that heavy smoking (PY ≥ 20) was the most significant factor associated with HBV-related HCC recurrence after curative surgical resection (p = 0.001), followed by anti-HBV treatment (p<0.01), current smoking (p = 0.028), surgical margin <1 cm (p = 0.048) and blood transfusion >600 ml (p = 0.028). The median RFS in non-smokers, ex-smokers and current smokers was 34 months, 24 months and 26 months, respectively (p = 0.033). Current smokers had significantly worse RFS rate and increased 5-year cumulative LSM than non-smokers (p = 0.024, and p<0.001, respectively). Heavy smokers had significantly worse RFS than non- and light smokers (0

CONCLUSIONS

Smoking history and quantity appears to be risk factors for HBV-related HCC recurrence and LSM of patients after surgery. For smokers, continued smoking postoperatively might accelerate tumor recurrence and patient death. Therefore, smoking abstinence should be strongly recommended to patients pre- and postoperatively.

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MESH Headings

• Carcinoma, Hepatocellular/complications
• Carcinoma, Hepatocellular/physiopathology
• Carcinoma, Hepatocellular/surgery
• Female
• Hepatitis B/complications
• Humans
• Liver Neoplasms/complications
• Liver Neoplasms/physiopathology
• Liver Neoplasms/surgery
• Male
• Middle Aged
• Prognosis
• Recurrence
• Smoking/physiopathology
• Nicotiana

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Affiliation(s)

Xu-Feng Zhang Department of Hepatobiliary Surgery, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, China
Tao Wei Department of Hepatobiliary Surgery, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, China
Xue-Min Liu Department of Hepatobiliary Surgery, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, China
Chang Liu Department of Hepatobiliary Surgery, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, China
Yi Lv Department of Hepatobiliary Surgery, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, China

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Rural-urban differences in health behaviors and implications for health status among US cancer survivors

PURPOSE

Rural US adults have increased risk of poor outcomes after cancer, including increased cancer mortality. Rural-urban differences in health behaviors have been identified in the general population and may contribute to cancer health disparities, but have not yet been examined among US survivors. We examined rural-urban differences in health behaviors among cancer survivors and associations with self-reported health and health-related unemployment.

METHODS

We identified rural (n = 1,642) and urban (n = 6,162) survivors from the cross-sectional National Health Interview Survey (2006-2010) and calculated the prevalence of smoking, physical activity, overweight/obesity, and alcohol consumption. Multivariable models were used to examine the associations of fair/poor health and health-related unemployment with health behaviors and rural-urban residence.

RESULTS

The prevalence of fair/poor health (rural 36.7 %, urban 26.6 %), health-related unemployment (rural 18.5 %, urban 10.6 %), smoking (rural 25.3 %, urban 15.8 %), and physical inactivity (rural 50.7 %, urban 38.7 %) was significantly higher in rural survivors (all p < .05); alcohol consumption was lower (rural 46.3 %, urban 58.6 %), and there were no significant differences in overweight/obesity (rural 65.4 %, urban 62.6 %). All health behaviors were significantly associated with fair/poor health and health-related unemployment in both univariate and multivariable models. After adjustment for behaviors, rural survivors remained more likely than urban survivors to report fair/poor health (OR = 1.21, 95 % CI 1.03-1.43) and health-related unemployment (OR = 1.49, 95 % CI 1.18-1.88).

CONCLUSIONS

Rural survivors may need tailored, accessible health promotion interventions to address health-compromising behaviors and improve outcomes after cancer.

Assessing tobacco use by cancer patients and facilitating cessation: an American Association for Cancer Research policy statement

When diagnosed with cancer, patients can immediately make a meaningful positive impact on their health by stopping their tobacco use. Scientific evidence clearly shows that tobacco use in patients with cancer leads to poorer outcomes. The specific biological processes driving tobacco consumption's interference in cancer therapy are the subject of continuing research, but the evidence is clear that tobacco use in patients with cancer leads to decreased treatment efficacy and safety, decreased survival, decreased quality of life, increased treatment-related toxicity, and increased risk of cancer recurrence and second primary tumors. Data suggest that tobacco cessation can improve outcomes and survival in patients with cancer, yet full execution of evidence-based cessation interventions is infrequent in oncology settings. Therefore, both improved provision of cessation assistance to all patients with cancer who use tobacco or have recently quit and further study of the deleterious effects of tobacco use and benefits of tobacco cessation on cancer progression and treatment are needed and recommended by the American Association for Cancer Research. Progress on both fronts begins with universal assessment and documentation of tobacco use as a standard of quality cancer care regardless of treatment setting and will be further facilitated through the development of reliable, valid, and standard measures of tobacco use, incorporation of evidence-based procedures into quality and accreditation procedures, and the development of appropriate training, clinical infrastructure, and incentives for delivery of tobacco cessation interventions.

The prognostic factors of chest wall metastasis resection

OBJECTIVE

Limited data exist regarding the outcomes after resection of pure hematogenous chest wall (CW) metastases. Therefore, we reviewed our 17 years' experience to determine clinically relevant factors.

METHODS

A retrospective review of all patients who underwent CW metastasectomy (other than breast cancer) from October 1991 to August 2008 at a single institution was performed. Post-CW metastasectomy survival curves were estimated by the Kaplan-Meier method and compared using log-rank test. Factors predictive of improved survival were determined by univariable and multivariable Cox proportional hazard regression analysis.

RESULTS

A total of 90 CW metastasectomies were performed on 79 patients (33 females and 46 males). The median follow-up period was 25.6 months. Operative mortality was 1.1%. The 5-year survival was 40%. Significant factors after multivariable analysis were margin status, histology, and a history of heavy smoking (≥ 20 pack years). Microscopically positive margin (P=0.01; hazard ratio (HR) 2.85; 95% confidence interval (CI) 1.28-6.35) and grossly positive margin (P<0.01; HR 9.55; 95% CI 2.60-35.1) fared worse. Compared with carcinoma, sarcoma (P<0.01; HR 3.9; 95% CI 1.7-9.2) and melanoma (P<0.01; HR 6.4; 95% CI 1.7-24) had worse survival. A history of heavy smoking diminished survival (P<0.01; HR 3.7; 95% CI 1.6-8.4).

CONCLUSIONS

The resection of CW metastases in highly selected patients as a part of multimodality treatment has low risk and is associated with prolonged survival. The margin status and histology are significant factors in the survival after CW metastasectomy. In addition, heavy smoking history also has a significant negative impact on survival.

Clinicodemographic factors influencing outcomes in patients with low-grade serous ovarian carcinoma

BACKGROUND

Low-grade serous carcinoma (LGSC) of the ovary is a rare tumor that is distinct from its high-grade counterpart. The objective of this study was to determine whether patient demographic factors and clinical treatment histories affected survival in a population of women with LGSC.

METHODS

A review of patients who had pathologically confirmed LGSC of the ovary diagnosed between 1977 and 2009 was performed. Abstracted data included medical and social histories, anthropometric measurements, and details about diagnosis, treatment, and follow-up. Statistical analyses included Fisher exact tests, Cox proportional hazards models, and the Kaplan-Meier method.

RESULTS

The study sample included 194 patients who had a median follow-up of 60.9 months (range, 1-383 months). In multivariate analyses, smoking had a negative association with both overall survival (OS) (hazard ratio [HR], 1.73; 95% confidence interval [CI], 1.03-2.92; P = .04) and progression-free survival (PFS) (HR, 1.72; 95% CI, 1.00-2.96; P = .05). The median OS was shorter in current smokers than in former/never smokers (48.0 months vs 79.9 months; P = .002). PFS also was predicted by year of diagnosis >1994 (HR, 1.74; P = .01). Although the difference was not statistically significant, hormone consolidation appeared to be associated with better OS (HR, 0.15; P = .06) and better PFS (HR, 0.44; P = .07). A smaller proportion of the patients who received hormone consolidation experienced disease recurrence compared with the patients who did not receive hormone consolidation (66.7% vs 87.6%; P = .07).

CONCLUSIONS

Smoking was associated negatively with survival outcomes in women with LGSC of the ovary, whereas consolidation treatment with hormone antagonists demonstrated a protective associative trend with survival. Both lifestyle modification and innovative treatment plans should be considered in this group of patients.

Nutritional factors in ovarian cancer survival

Ovarian cancer is the leading cause of death from gynecologic malignancies in the United States. Because symptoms tend be nonspecific, early detection is difficult, and most ovarian cancers are diagnosed at an advanced stage when the prognosis is poor. Nonetheless, there is clinical evidence that even given the same tumor characteristics (histologic type, stage, and grade), some cases experience much better survival than others. This has led to extensive research on molecular prognostic factors to enable more efficient and targeted therapeutic regimens. However, little is known about the impact that lifestyle factors, such as diet or physical activity, may have in the prognosis of ovarian cancer, whether on disease-free survival or on the response to and complications from treatment. The role of obesity on ovarian cancer survival is unclear. Obesity may delay diagnosis, hinder optimal surgical and cytotoxic treatment, and cause postoperative complications. As overweight and obesity rates reach epidemic proportions, the impact of body mass index in the clinical management of ovarian cancer is increasingly significant, whereas current evidence of its impact is limited and inconclusive.

Predictors of ovarian cancer survival: a population-based prospective study in Sweden

Ovarian cancer is the leading cause of death from gynecologic malignancies among women worldwide. Little is known about reproductive factors or lifestyle determinants and ovarian cancer prognosis. The objective of this study was to examine whether ovarian cancer survival is influenced by reproductive history, anthropometric characteristics, prediagnostic life-style factors and family history of breast or ovarian cancer. The study population consisted of 635 epithelial ovarian cancer (EOC) cases derived from a nationwide population-based case-control study conducted in Sweden between 1993 and 1995. Exposure data on prediagnostic factors of interest were collected through questionnaires at the beginning of the parent study. Clinical data were abstracted from medical records. Cases were followed-up by means of record linkage to nationwide registers until December 31, 2002. Cox proportional hazard regression model was used to estimate the prognostic effect of each factor in terms of hazard ratios (HR) and 95% confidence intervals (CI), following adjustment for age at diagnosis, FIGO tumor stage and WHO grade of tumor differentiation. Tumor characteristics significantly influenced the risk of death from EOC. After adjustment for these, no clear associations were detected between reproductive history (parity, age at first or last birth, oral contraceptive use, age at menarche or menopause), anthropometric characteristics (body size and shape in different periods of life), lifestyle factors before diagnosis (alcohol consumption, smoking and physical activity over lifetime), nor family history of breast cancer or ovarian cancer and EOC survival. Our findings indicate that these prediagnostic factors do not influence the EOC survival. Nevertheless, among women with early stage disease (FIGO stage I and II), there was some indication that overweight in young adulthood or recent years increased the risk of death, while physical activity in young adult life appeared to reduce the risk of death due to EOC.

The influence of reproductive and hormonal factors on ovarian cancer survival

Reproductive and hormonal exposures are known to influence ovarian carcinogenesis, but little is known about the effect of these factors on survival. We have studied survival according to hormonal and reproductive history in a population-based cohort of 676 Australian women aged 18–79, newly diagnosed with invasive epithelial ovarian cancer in the early 1990s. In order to place our findings in context, we have also undertaken a systematic review of the pertinent literature. Detailed information about each woman's reproductive and contraceptive history was obtained from pregnancy and contraceptive calendars at the time of diagnosis. Cox regression was used to obtain multivariate adjusted hazard ratios (HR) and 95% confidence intervals (CI). A total of 419 (62%) of the 676 women died during the follow-up (giving a 5-year survival proportion of 44%). Apart from better survival for women who had ever breastfed (multivariate HR 0.74, 95% CI 0.55–0.98), we found no association between survival from invasive ovarian cancer and a range of hormonal and gynecological factors including parity, use of oral contraceptives, and histories of tubal sterilization or hysterectomy. Systematic review of the literature generally supported the lack of influence of these factors on survival from ovarian cancer. We conclude that, except for a possible survival advantage among women with a history of breastfeeding, reproductive and hormonal exposures prior to diagnosis do not influence survival from invasive ovarian cancer, in contrast to their substantial effects on etiology of this disease

Cigarette smoking and risk of epithelial ovarian cancer

BACKGROUND

An increased risk of mucinous ovarian tumors among cigarette smokers has been observed in multiple studies. The association of smoking with other histologic types of ovarian cancer is less clear, but potentially holds greater importance for prevention of disease incidence and mortality.

METHODS

In a population-based study of 812 women with ovarian cancer diagnosed in western Washington State from 2002-2005 and 1,313 controls, we assessed the risk associated with cigarette smoking, with a particular focus on tumor subgroups jointly classified according to the degree of invasiveness and histology. Information was collected through in-person interviews, and logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

The incidence of both borderline and invasive mucinous ovarian tumors was increased among women with a history of cigarette smoking (ORs and 95% CIs = 1.8, 1.2-2.9, and 1.8, 0.8-4.3, respectively). Increases in risk of these tumor types were most evident among women with greater smoking duration and pack-years of exposure, and among those who had smoked within the prior 15 years. We noted no clear patterns of risk of serous tumors with duration or pack-years of smoking; however, risk of these tumor types was somewhat elevated among women who had smoked within the previous 15 years (for borderline serous tumors, OR and 95% CI = 1.5, 0.9-2.3; for invasive serous tumors, OR and 95% CI = 1.4, 1.1-1.9). The risk of endometrioid, clear cell, and the remaining histologic types of invasive ovarian cancer was not increased among smokers.

CONCLUSION

In the aggregate, evidence is insufficient to determine whether smoking is linked with risk of serous or other non-mucinous histologic types of ovarian cancer. Studies that employ additional histopathologic and molecular techniques to more accurately delineate subsets of tumors may improve our understanding of the impact of smoking on ovarian cancer risk.