Lifestyle factors, autoimmune disease and family history in prognosis of non-hodgkin lymphoma overall and subtypes

Lifestyle factors and medical history are known to influence risk of non-Hodgkin lymphoma (NHL). Whether these factors affect the prognosis of NHL, especially its subtypes, is unclear. To investigate this, the association between these factors and all-cause and lymphoma-related mortality was assessed in a population-based cohort of 1,523 Swedish NHL patients included in the Scandinavian Lymphoma Etiology study in 1999-2002. Participants contributed time from NHL diagnosis until death or October 1, 2010, with virtually complete follow-up through linkage to the Swedish Cause of Death Register. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using stratified and multivariable-adjusted Cox regression models. During a median follow-up of 8.8 years, 670 patients (44%) died, with the majority of deaths attributed to lymphoma (86%). Current versus never smoking at diagnosis was associated with increased rate of all-cause death for all NHL (HR = 1.5, 1.2-1.8) and diffuse large B-cell lymphoma (HR = 1.8, 1.2-2.7). Low educational level (HR = 1.3, 1.1-1.7, <9 vs. >12 years) and NHL risk-associated autoimmune disease (HR = 1.4, 1.0-1.8) were associated with death for all NHL combined. However, evidence of an association with lymphoma-related death was limited. Body mass index, recent sunbathing and family history of hematopoietic malignancy were not consistently associated with death after NHL or its specific subtypes. These results add to the evidence that cigarette smoking, socioeconomic status and certain autoimmune diseases affect survival after NHL. Further investigations are needed to determine how these factors should be incorporated into clinical prognostic assessment.

Postoperative adjuvant chemotherapy use in patients with stage II/III rectal cancer treated with neoadjuvant therapy: a national comprehensive cancer network analysis

PURPOSE

Practice guidelines recommend that patients who receive neoadjuvant chemotherapy and radiation for locally advanced rectal cancer complete postoperative adjuvant systemic chemotherapy, irrespective of tumor downstaging.

PATIENTS AND METHODS

The National Comprehensive Cancer Network (NCCN) Colorectal Cancer Database tracks longitudinal care for patients treated at eight specialty cancer centers across the United States and was used to evaluate how frequently patients with rectal cancer who were treated with neoadjuvant chemotherapy also received postoperative systemic chemotherapy. Patient and tumor characteristics were examined in a multivariable logistic regression model.

RESULTS

Between September 2005 and December 2010, 2,073 patients with stage II/III rectal cancer were enrolled in the database. Of these, 1,193 patients receiving neoadjuvant chemoradiotherapy were in the analysis, including 203 patients not receiving any adjuvant chemotherapy. For those seen by a medical oncologist, the most frequent reason chemotherapy was not recommended was comorbid illness (25 of 50, 50%); the most frequent reason chemotherapy was not received even though it was recommended or discussed was patient refusal (54 of 74, 73%). After controlling for NCCN Cancer Center and clinical TNM stage in a multivariable logistic model, factors significantly associated with not receiving adjuvant chemotherapy were age, Eastern Cooperative Oncology Group performance status ≥ 1, on Medicaid or indigent compared with private insurance, complete pathologic response, presence of re-operation/wound infection, and no closure of ileostomy/colostomy.

CONCLUSION

Even at specialty cancer centers, a sizeable minority of patients with rectal cancer treated with curative-intent neoadjuvant chemoradiotherapy do not complete postoperative chemotherapy. Strategies to facilitate the ability to complete this third and final component of curative intent treatment are necessary.

Competing risks of death in patients with localized renal cell carcinoma: a comorbidity based model

PURPOSE

Multiple risks compete with cancer as the primary cause of death. These factors must be considered against the benefits of treatment. We constructed a model of competing causes of death to help contextualize treatment trade-off analyses in patients with localized renal cell carcinoma.

MATERIALS AND METHODS

We identified 6,655 individuals 66 years old or older with localized renal cell carcinoma in the linked SEER (Surveillance, Epidemiology and End Results)-Medicare data set for 1995 to 2005. We used Fine and Gray competing risks proportional hazards regression to predict probabilities of competing mortality outcomes. Prognostic markers included race, gender, tumor size, age and the Charlson comorbidity index score.

RESULTS

At a median followup of 43 months, age and comorbidity score strongly correlated with patient mortality and were most predictive of nonkidney cancer death, as measured by concordance statistics. Patients with localized, node negative kidney cancer had a low 3 (4.7%), 5 (7.5%) and 10-year (11.9%) probability of cancer specific death but a significantly higher overall risk of death from competing causes within 3 (10.9%), 5 (20.1%) and 10 years (44.4%) of renal cell carcinoma diagnosis, depending on comorbidity score.

CONCLUSIONS

Informed treatment decisions regarding patients with solid tumors must integrate not only cancer related variables but also factors that predict noncancer death. We established a comorbidity based predictive model that may assist in patient counseling by allowing quantification and comparison of competing risks of death in patients 66 years old or older with localized renal cell carcinoma who elect to proceed with surgery.

Prognostic impact of pretherapeutic laboratory values in head and neck cancer patients

PURPOSE

The high comorbidity in patients with head and neck cancer (HNC) is mainly caused by the high incidence of tobacco and alcohol abuse and has direct impact on overall survival. We investigated whether HNC and its comorbidity also influence routine laboratory values and whether these values have influence on overall survival.

METHODS

A retrospective cohort of 261 patients with primary squamous cell carcinoma of the oral cavity, pharynx, or larynx diagnosed between 2001 and 2006 with a complete set of pretherapeutic laboratory values was identified. The influence of standard oncological parameters, comorbidity, and each laboratory value on overall survival (OS) was investigated in univariate and multivariate analyses.

RESULTS

Two-thirds of patients were active smokers and about one half reported high alcohol consumption. 40 % of patients had severe comorbidity according to Charlson comorbidity index. The most frequent laboratory pathologies were elevated C-reactive protein (CRP) values (66 %), impaired liver enzymes (30-50 %), decreased urea levels (33 %), leukocytosis (20 %), and anemia (10 %). In multivariate analysis for OS, a comorbidity index ≥5 (Hazard ratio [HR], 2.008; 95 % confidence interval [CI], 1.117-3.610; p = 0.020), high CRP level (HR, 2.469; CI, 1.414-4.310; p = 0.001), and abnormal low red-cell count (HR, 2.525; CI, 1.250-5.102; p = 0.010) were independent prognostic variables.

CONCLUSIONS

Comorbidity reflected by pathologic laboratory values is a major issue in HNC patients. Several pretherapeutic laboratory values have prognostic relevance for overall survival in HNC patients.

The role of comorbidities on the uptake of systemic treatment and 3-year survival in older cancer patients

BACKGROUND

Older patients are notably absent from clinical trials. Thus, observational studies are the primary avenue for understanding the role of comorbidity in cancer care and survival. We examined the impact of comorbidity on systemic treatment initiation and 3-year survival in a cohort of older cancer patients.

PATIENTS AND METHODS

Our cohort comprised 2753 Australian veterans aged ≥65 years with full health coverage and a cancer registry notification for colorectal (CRC), breast, prostate or non-small-cell lung cancer (NSCLC). We established comorbidities based on drugs prescribed in the 6 months prior to cancer diagnosis.

RESULTS

Patients with higher comorbidity burden were more likely to receive systemic treatment for prostate cancer [adjusted odds ratio 1.21, 95% confidence interval (CI) 1.05-1.39] but less likely for NSCLC (0.63, 95% CI 0.45-0.86). After adjusting for receipt of treatment, increased comorbidity resulted in shorter survival for CRC [adjusted hazard ratio (aHR) 1.16, 95% CI 1.07-1.26] and breast cancer (aHR 1.23, 95% CI 1.02-1.48). However, we did not demonstrate significant improvements in 3-year survival for patients receiving systemic treatment.

CONCLUSION

Comorbidity influences systemic treatment uptake and adversely affects survival, with impact dependent upon comorbidity and cancer type. Clinical trials should be undertaken in older patients to better understand the risks and benefits of cancer treatments.

The value of geriatric assessments in predicting treatment tolerance and all-cause mortality in older patients with cancer

BACKGROUND

Awareness of the use of geriatric assessments for older patients with cancer is increasing. The aim of this review is to summarize all available evidence on the association between geriatric assessments and relevant oncologic outcomes.

METHOD

A systematic search was conducted in Medline and Embase of studies on geriatric assessment in oncology, focusing on the association between baseline assessment and outcome.

RESULTS

The literature search identified 2008 reports; 51 publications from 37 studies were selected for inclusion in the review. The quality of studies was heterogeneous and generally poor. A median of five geriatric conditions were assessed per study (interquartile range: 4-8). Little consistency was found in the results of the studies. Furthermore, different tools appear to be predictive depending on the outcome measure: frailty, nutritional status, and comorbidity assessed by the Cumulative Illness Rating Scale for Geriatrics were predictive for all-cause mortality; frailty was predictive for toxicity of chemotherapy; cognitive impairment and activities of daily living impairment were predictive for chemotherapy completion; and instrumental activities of daily living impairment was predictive for perioperative complications.

CONCLUSION

Although various geriatric conditions appear to be of some value in predicting outcome in elderly patients with cancer, the results are too inconsistent to guide treatment decisions. Further research is needed to elucidate the role of geriatric assessments in the oncologic decision-making process for these patients.

Disease-specific mortality among stage I-III colorectal cancer patients with diabetes: a large population-based analysis

AIMS/HYPOTHESIS

The aim of our study was to investigate overall and disease-specific mortality of colorectal cancer patients with diabetes.

METHODS

In this population-based study, we included all colorectal cancer patients, newly diagnosed with stage I-III cancer, between 1997 and 2007 in the registration area of the Eindhoven Cancer Registry. Stage of cancer, cancer treatment and comorbidities were actively collected by reviewing hospital medical records. Data on patients with and without diabetes were linked to Statistics Netherlands to assess vitality, date of death and underlying cause of death. Follow-up of all patients was completed until 1 January 2009.

RESULTS

We included 6,974 patients with colon cancer and 3,888 patients with rectal cancer, of whom 820 (12%) and 404 (10%), respectively, had diabetes at the time of cancer diagnosis. During follow-up, death occurred in 611 (50%) of 1,224 cancer patients with diabetes and 3,817 (40%) of 9,638 cancer patients without diabetes. Multivariate Cox regression analyses, adjusted for age, sex, socioeconomic status, stage, lymph nodes examined, adjuvant therapy and year of diagnosis, showed that overall mortality was significantly higher for colon (HR 1.12, 95% CI 1.01, 1.25) and rectal (HR 1.21, 95% CI 1.03, 1.41) cancer patients with diabetes than for those without. Disease-specific mortality was only significantly increased for rectal cancer patients (HR 1.30, 95% CI 1.06, 1.60).

CONCLUSIONS/INTERPRETATION

Diabetes at the time of rectal cancer diagnosis was independently associated with an increased risk of colorectal cancer mortality compared with no diabetes, suggesting a specific interaction between diabetes and rectal cancer. Future in-depth studies including detailed diabetes- and cancer-related variables should elucidate pathways.

Patient factors, health care factors and survival from lung cancer according to ethnic group in the south of London, UK

International and UK data suggest that there are ethnic differences in survival for some malignancies. The aim of the present study was to identify any health inequalities related to lung cancer and ethnicity. Data on 423 patients with a diagnosis of lung cancer treated at a large specialist cancer hospital in London UK were analysed. Data on stage of disease at diagnosis, co-morbidities, socio-economic status, treatments received and survival were collected and examined for differences by ethnic group. There was a significant difference between black and minority ethnic (BME) patients and White-European patients in socio-economic status (Chi-square test P-value < 0.001). BME patients were over-represented in the most deprived socio-economic groups and under-represented in the most affluent. There were no significant differences in histology, stage of disease, co-morbidities and performance status or treatments received between the different ethnic groups. Ethnicity was not associated with survival. Significant prognostic factors for overall survival were performance status (P < 0.001), stage of disease (P = 0.001) and gender (P = 0.003). Our findings suggest that patients from BME groups are over-represented in more deprived socio-economic groups; however, this did not impact on significant prognostic factors or the treatments that they received. Importantly ethnicity did not influence survival.

Impact of age and comorbidity on non-small-cell lung cancer treatment in older veterans

PURPOSE

Because comorbidity affects cancer treatment outcomes, guidelines recommend considering comorbidity when making treatment decisions in older patients with lung cancer. Yet, it is unclear whether treatment is targeted to healthier older adults who might reasonably benefit.

PATIENTS AND METHODS

Receipt of first-line guideline-recommended treatment was assessed for 20,511 veterans age ≥ 65 years with non-small-cell lung cancer (NSCLC) in the Veterans Affairs (VA) Central Cancer Registry from 2003 to 2008. Patients were stratified by age (65 to 74, 75 to 84, ≥ 85 years), Charlson comorbidity index score (0, 1 to 3, ≥ 4), and American Joint Committee on Cancer stage (I to II, IIIA to IIIB, IIIB with malignant effusion to IV). Comorbidity and patient characteristics were obtained from VA claims and registry data. Multivariate analysis identified predictors of receipt of guideline-recommended treatment.

RESULTS

In all, 51% of patients with local, 35% with regional, and 27% with metastatic disease received guideline-recommended treatment. Treatment rates decreased more with advancing age than with worsening comorbidity for all stages, such that older patients with no comorbidity had lower rates than younger patients with severe comorbidity. For example, 50% of patients with local disease age 75 to 84 years with no comorbidity received surgery compared with 57% of patients age 65 to 74 years with severe comorbidity (P < .001). In multivariate analysis, age and histology remained strong negative predictors of treatment for all stages, whereas comorbidity and nonclinical factors had a minor effect.

CONCLUSION

Advancing age is a much stronger negative predictor of treatment receipt among older veterans with NSCLC than comorbidity. Individualized decisions that go beyond age and include comorbidity are needed to better target NSCLC treatments to older patients who may reasonably benefit.

Customizing systemic therapy in patients with advanced non-small cell lung cancer

Lung cancer is the leading cause of cancer deaths worldwide. Standard chemotherapy has been shown to improve quality of life and has a modest influence on overall survival. This modest improvement in survival is partly due to the choice of chemotherapy regimens that have been based on prognostic factors such as age, performance status and comorbidities of the patient. This underlines the importance of developing a more personalized therapy for patients with non-small cell lung cancer. Such an approach may reduce the variation in how individual patients respond to medications by tailoring therapies to their genetic profile. In this review we focus on several aspects of customized therapy, looking not only at patient characteristics but also to tumor histology and specific tumor biomarkers.

Impact of comorbidity on mortality: a cohort study of 62,591 Danish women diagnosed with early breast cancer, 1990-2008

The incidence of breast cancer, as well as other chronic disease, increases with age, older breast cancer patients being more likely than younger to suffer from other diseases at time of diagnosis. Our objective was to assess the effect of comorbidity on mortality after early breast cancer. 62,591 women diagnosed with early breast cancer 1990-2008 were identified using the Danish Breast Cancer Cooperative Group Registry. Data were linked to the Danish National Patient Register and the Danish Register of Causes of Death. Main outcome measures were mortality from all causes, breast cancer, and non-breast cancer causes in relation to Charlson comorbidity index (CCI). Compared with patients without comorbidity (CCI 0), the presence of comorbidity increased the risk of dying from breast cancer as well as other causes with adjusted hazard ratios (HRs) for all-cause mortality of 1.45 (CI 95% 1.40-1.51) for CCI 1, 1.52 (95% CI 1.45-1.60) for CCI 2, and 2.21 (95% CI 2.08-2.35) for CCI 3+. Equivalent HRs for breast cancer-specific mortality were 1.30 (95% CI, 1.24-1.36) for CCI 1, 1.31 (95% CI 1.23-1.39) for CCI 2, and 1.79 (95% CI, 1.66-1.93) for CCI 3+ (all P values < 0.0001). For patients with CCI 0, 5-year overall survival increased over time from 72.5% (95% CI, 71.7-73.3%) in 1990-1994 to 81.6% (95% CI, 80.9-82.2) in 2000-2004, whereas the 5-year overall survival remained stable around 43% among the patients with CCI 3+. This population-based cohort study shows that compared with patients without comorbidity, the risk of dying from breast cancer as well as other causes increased significantly with increasing CCI score. While survival improved over time for patients without comorbidity, no improvement was seen among patients with severe comorbidity (CCI 3+).

Racial differences in acute toxicities of neoadjuvant or adjuvant chemotherapy in patients with early-stage breast cancer

BACKGROUND

Racial disparities in breast cancer outcomes are attributed to differences in baseline tumour characteristics and biology, stage, age, ethnic background and socioeconomic factors. However, little is known about racial differences in treatment-related toxicities. We hypothesised that racial/ethnic differences result in differential tolerance to chemotherapy potentially, leading to compromised dose intensity/density of chemotherapy in patients with early-stage breast cancer.

METHODS

Data were collected from patients treated at five international centers for early breast cancer with the same adjuvant/neoadjuvant chemotherapy (FEC 100: fluorouracil 500mg/m(2), epirubicin 100mg/m(2), and cyclophosphamide 500mg/m(2),every 21d for 3-6 cycles). Toxicities were assessed by first episode of ⩾grade 2 toxicity.

RESULTS

Toxicities were compared according to four race/ethnicity groups (103 Caucasian, 30 African American, 164 Asian, and 34 Hispanic patients). Tumour characteristics across four race/ethnicity groups were similar. Asians had a significantly higher rate of grade 3 haematologic toxicity than Caucasians, African Americans or Hispanic women (32%, 16%, 10%, and 15%, respectively; p<0.05). In multivariate analysis, only lower BMI was associated with a higher incidence of ⩾grade 3 toxicities. However, no significant differences in chemotherapy dose intensity/density were shown across the four race/ethnicity groups.

CONCLUSION

Racial differences in acute toxicity were noted in women with breast cancer who were treated with FEC 100 chemotherapy, suggesting that extrapolating toxicities from chemotherapy across ethnicities is not possible and emphasising the need to validate safety of chemotherapeutic regimens in patients of different ethnicities by enhancing the participation of minorities in clinical trials.

Treatment of patients with metastatic urothelial cancer "unfit" for Cisplatin-based chemotherapy

PURPOSE

Cisplatin-based combination chemotherapy is considered standard first-line treatment for patients with metastatic urothelial carcinoma. However, a large proportion of patients with metastatic urothelial carcinoma are considered "unfit" for cisplatin. The purpose of this review is to define unfit patients and to identify treatment options for this subgroup of patients.

PATIENTS AND METHODS

In this review, the criteria used to define unfit patients are explored and the results of prospective clinical trials evaluating chemotherapeutic regimens in unfit patients are summarized.

RESULTS

Several phase II trials and a single, large phase III trial have explored chemotherapeutic regimens for the treatment of unfit patients with metastatic urothelial carcinoma. Heterogeneous eligibility criteria have been used to define unfit patients in these studies. A uniform definition of unfit is proposed on the basis of the results of a survey of genitourinary medical oncologists. According to this definition, unfit patients would meet at least one of the following criteria: Eastern Cooperative Oncology Group performance status of 2, creatinine clearance less than 60 mL/min, grade ≥ 2 hearing loss, grade ≥ 2 neuropathy, and/or New York Heart Association Class III heart failure.

CONCLUSION

Additional studies to optimize treatment for this important subset of patients are needed. A uniform definition of unfit patients will lead to more uniform clinical trials, enhanced ability to interpret the results of these trials, and a greater likelihood of developing a viable strategy for regulatory approval.