Purpose: The study comprehensively evaluated the prognostic roles of the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), basophil-to-lymphocyte ratio (BLR), and eosinophil-to-lymphocyte ratio (ELR) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Patients and Methods: Six hundred and nineteen patients with AECOPD and 300 healthy volunteers were retrospectively included into the study. The clinical characteristics of the patients with AECOPD and the complete blood counts (CBCs) of the healthy volunteers were collected. The associations of PLR, NLR, MLR, BLR, and ELR with airflow limitation, hospital length of stay (LOS), C-reactive protein (CRP), and in-hospital mortality in patients with AECOPD were analyzed. Results: Compared with the healthy volunteers, PLR, NLR, MLR, BLR, and ELR were all elevated in COPD patients under stable condition. PLR, NLR, MLR, and BLR were further elevated while ELR was lowered during exacerbation. In the patients with AECOPD, PLR, NLR, and MLR were positively correlated with hospital LOS as well as CRP. In contrast, ELR was negatively correlated with hospital LOS as well as CRP. Elevated PLR, NLR, and MLR were all associated with more severe airflow limitation in AECOPD. Elevated PLR, NLR, and MLR were all associated with increased in-hospital mortality while elevated ELR was associated with decreased in-hospital mortality. Binary logistic regression analysis showed that smoking history, FEV1% predicted, pneumonia, pulmonary heart disease (PHD), uric acid (UA), albumin, and MLR were significant independent predictors ofin-hospital mortality. These predictors along with ELR were used to construct a nomogram for predicting in-hospital mortality in AECOPD. The nomogram had a C-index of 0.850 (95% CI: 0.799– 0.901), and the calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) further demonstrated its good predictive value and clinical applicability. Conclusion: In summary, PLR, NLR, MLR, and ELR served as useful biomarkers in patients with AECOPD.

BACKGROUND: Hormone replacement therapy (HRT) may play a role in the development of lung cancer and subsequent survival. Results from studies exploring these issues are inconsistent. A retrospective study in a rural population was conducted to determine whether a history of HRT use is associated with survival of postmenopausal women with lung cancer.METHODS: A retrospective medical chart review of 648 postmenopausal women, diagnosed with a first primary lung cancer between1995 and 2005, was conducted in a regional hospital in Paducah, Kentucky. History of HRT use was collected. Log‐rank test and multivariate Cox regression analysis were performed to examine the effects of HRT on survival.RESULTS: The median survival for women with a history of HRT use was 16.4 months, compared with 10.5 months for women without a history of HRT use. However, this difference in survival was not statistically significant (hazard ratio, 1.09; 95% confidence interval, 0.82‐1.44). Women with a history of HRT use were younger on average (64.3 years) at diagnosis than women without a history of HRT use (69.5 years, P < .01). Cigarette smoking was adversely associated with survival (P = .03), as were age (P < .01) and TNM stage (P < .01).CONCLUSIONS: In contrast to previous studies, within this population, a history of HRT use in postmenopausal lung cancer patients was not associated with decreased survival. Because most of the published studies on this issue are retrospective, the discrepant findings reflect the complexity of the role of HRT use in the survival of lung cancer patients. Cancer 2009. © 2009 American Cancer Society.

Cancer patients receiving Medicaid have worse prognosis. Patients in 14 Surveillance, Epidemiology, and End Results (SEER) cancer registries were linked to national Medicaid enrollment files, 2006–2013, to determine enrollment status during the year before and after diagnosis. A deterministic algorithm based on Social Security number, Medicare Health Insurance Claim number, sex, and date of birth was utilized. Results were compared with an independent linkage of Kentucky-based SEER and Medicaid data. A total 559 484 cancer cases were linked to national Medicaid enrollment files, representing 15–17% of persons with cancer yearly. About 60% of these cases were a complete match on all variables. There was 99% agreement on enrollment status compared with the Kentucky linked data. SEER data were successfully linked to national Medicaid enrollment data. NCI will make the linked data available to researchers, allowing for more detailed assessments of the impact Medicaid enrollment has on cancer diagnosis and outcomes.

Background: Overall survival advantage of chemotherapy before versus after metastasectomy of liver or lung lesion is not clear for colon cancer with synchronous liver or lung metastasis. Materials and Methods: Adults 20 years or older with primary colon cancer and single organ metastatic disease either in the liver or lung at diagnosis were identified between 2010 and 2015 through the National Cancer Database (NCDB). Patients were categorized into 2 cohorts: pre-operative/peri-operative chemotherapy (neoadjuvant –[NAC]) or post-operative chemotherapy (adjuvant [AC]). Survivals and factors associated with were compared between the 2 groups. Results: A total of 3038 patients with colon cancer with liver or lung metastases were identified. The percentage of patients receiving NAC had steadily increased from 12.29% to 28.31%, mostly in academic programs. On multivariate analysis, patients who received NAC had an overall survival advantage in the non-academic setting whereas no advantage is seen in the patients treated in the academic settings. The median overall survival for patients receiving NAC and AC was 47.24 months and 38.08 months, respectively. Factors associated with overall survival advantage in NAC patients treated in non-academic programs included age 20-49 years, CEA value of >30, right-sided colon primary, liver metastasis, and clear resection margins. Conclusions: Metastatic colon cancer with single organ liver or lung lesions benefits from neoadjuvant chemotherapy, especially in ­non-academic settings. The overall survival advantage in this setting has not been shown before.

Clear cell adenocarcinoma (CCA) is a rare variant of urinary bladder carcinoma with a glycogen-rich phenotype and unknown prognosis. Using the National Cancer Institute’s surveillance, epidemiology, and end results (SEER) program database, we documented recent trends in incidence, mortality, demographical characteristics, and survival on this rare subtype of urinary bladder cancer. The overall age-adjusted incidence and mortality of CCA was 0.087 (95% confidence interval (CI): 0.069–0.107) and 0.064 (95% CI: 0.049–0.081) respectively per million population. In comparison to non-CCAs, CCAs were more commonly associated with younger age (<60 years old, p = 0.005), female (p < 0.001), black ethnicity (p = 0.001), grade III (p < 0.001), and higher AJCC 6th staging (p < 0.001). In addition, CCA patients more frequently received complete cystectomy (p < 0.001) and beam radiation (p < 0.001) than non-CCA patients. Our study showed a poorer prognosis of CCAs compared to all other carcinomas of the urinary bladder (p < 0.001), accounted for by higher tumor staging of CCA cases. This study adds to the growing evidence that glycogen-rich cancers may have unique characteristics affecting tumor aggressiveness and patient prognosis. Additional mechanistic studies are needed to assess whether it’s the excess glycogen that contributes to the higher stage at diagnosis.

PURPOSE: Linkage of cancer registry data with complementary data sources can be an informative way to expand what is known about patients and their treatment and improve delivery of care. The purpose of this study was to explore whether patient smoking status and smoking-cessation modalities data in the Kentucky Cancer Registry (KCR) could be augmented by linkage with health claims data. METHODS: The KCR conducted a data linkage with health claims data from Medicare, Medicaid, state employee insurance, Humana, and Anthem. Smoking status was defined as documentation of personal history of tobacco use (International Classification of Diseases, Ninth Revision [ICD-9] code V15.82) or tobacco use disorder (ICD-9 305.1) before and after a cancer diagnosis. Use of smoking-cessation treatments before and after the cancer diagnosis was defined as documentation of smoking-cessation counseling (Healthcare Common Procedure Coding System codes 99406, 99407, G0375, and G0376) or pharmacotherapy (eg, nicotine replacement therapy, bupropion, varenicline). RESULTS: From 2007 to 2011, among 23,703 patients in the KCR, we discerned a valid prediagnosis smoking status for 78%. KCR data only (72%), claims data only (6%), and a combination of both data sources (22%) were used to determine valid smoking status. Approximately 4% of patients with cancer identified as smokers (n = 11,968) and were provided smoking-cessation counseling, and 3% were prescribed pharmacotherapy for smoking cessation. CONCLUSION: Augmenting KCR data with medical claims data increased capture of smoking status and use of smoking-cessation modalities. Cancer registries interested in exploring smoking status to influence treatment and research activities could consider a similar approach, particularly if their registry does not capture smoking status for a majority of patients.