Survival among cancers screened at the first stage of Dispanserization of certain groups of the adult population: a population-based epidemiological analysis

Objective: to evaluate trends of survival in nine index malignant neoplasms (iMNs), which are screened at the first stage of the Dispanserization of certain groups of the adult population (DCGAP), on data of the Arkhangelsk regional cancer registry over a period 2006-2019. Materials and methods. We compared two seven-year periods 2006-2012 and 2013-2019, before and after the introduction of the DCGAP. The 1- and 5-year cancer-specific survival (CSS) rate was calculated using the life table and Kaplan-Meier methods with an assessment of the differences by log-rank. Cox regression analysis with sequential input was used to identify possible causes of differences in survival between periods and independent prognostic factors. Results. 37197 cases were selected for analysis. 5-year CSS estimates in 2013-2019 compared with the previous seven-year period significantly increased for all nine iMNs, by from 2.5% [2006-2012, 12.5% (95% confidence interval (CI) 11.4-13.6%) vs 2013-2019, 15.0 (95% CI 13.7-16.5%)] in lung cancer up to 12.6% [2006-2012, 31.0% (95% CI 28.6-33.4%) vs 2013-2019, 43.6 (95% CI 40.8-46.2%)]. Correction for the stage (possible effect of screening) in the Cox model has led to a decrease in the hazard ratio (HR) of death from cancer of the colon, rectum, breast, kidney by 38-64%, no change for other iMNs; while for cervical cancer, it has increased. Adjustment for the variable "treatment method" led to a 34-100% decrease in the HR in the Cox model for all iMNs, except for prostate cancer. Conclusion. The increase in survival estimates for nine iMNs in 2013-2019 can be explained to a large extent by improved access to cancer-directed treatment and its quality; the contribution of DCGAP is possible in renal, breast and colorectal cancer. Key words: malignant neoplasms, screening, dispensarization of certain groups of the adult population, survival

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Kleinzelliges Lungenkarzinom: Interdisziplinär für oder wider eine Operation entscheiden

Karger Kompass Pneumologie ◽

10.1159/000511990 ◽

2020 ◽

Vol 8 (6) ◽

pp. 322-323

Author(s):

Khosro Hekmat

Keyword(s):

Lung Cancer ◽

Tumor Size ◽

Cox Regression ◽

Population Based ◽

Kleinzelliges Lungenkarzinom ◽

Matched Cohort ◽

Cancer Specific Survival ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Patient Groups

Background: The role of surgery for small cell lung cancer (SCLC) is not clear. We aimed to evaluate this issue using a population-based database. Methods: Patients diagnosed between 2004 and 2014 with SCLC staged T1–4 N0–2 M0 disease were retrieved from the Surveillance, Epidemiology, and End Results database. Propensity score matching (PSM) was used to reduce bias between the surgical and nonsurgical patient groups. The Kaplan-Meier method and Cox regression analysis were used to compare overall survival (OS) for the matched patients. Results: A total of 8,811 patients were retrieved, including 863 patients who underwent surgical resection. After 1: 1 PSM, a matched cohort with 1,562 patients was generated. In the matched cohort, surgery was associated with 5-year OS improvement (from 16.8 to 36.7%, p < 0.001) and lung cancer-specific survival improvement (from 21.6 to 43.2%, p < 0.001). Survival benefits of surgery were significant in all subgroups, including N1–2 disease, except for patients with a tumor size >5.0 cm or T3 disease. Conclusions: Patients with SCLC of limited stage can benefit from surgery, including N1–2 disease. However, patients with a tumor size >5.0 cm or advanced T stage may be unable to benefit from surgery.

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Effects of marital status on overall and cancer-specific survival in laryngeal cancer patients: a population-based study

Scientific Reports ◽

10.1038/s41598-020-80698-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Zhao Ding ◽

Deshun Yu ◽

Hefeng Li ◽

Yueming Ding

Keyword(s):

Marital Status ◽

Cancer Patients ◽

Laryngeal Cancer ◽

Cox Regression ◽

Group Analysis ◽

Population Based ◽

Cancer Specific Survival ◽

Cox Regression Analysis ◽

Prognostic Effect ◽

The Difference

AbstractMarital status has long been recognized as an important prognostic factor for many cancers, however its’ prognostic effect for patients with laryngeal cancer has not been fully examined. We retrospectively analyzed 8834 laryngeal cancer patients in the Surveillance Epidemiology and End Results database from 2004 to 2010. Patients were divided into four groups: married, widowed, single, and divorced/separated. The difference in overall survival (OS) and cancer-specific survival (CSS) of the various marital subgroups were calculated using the Kaplan–Meier curve. Multivariate Cox regression analysis screened for independent prognostic factors. Propensity score matching (PSM) was also conducted to minimize selection bias. We included 8834 eligible patients (4817 married, 894 widowed, 1732 single and 1391 divorced/separated) with laryngeal cancer. The 5-year OS and CSS of married, widowed, single, and separated/divorced patients were examined. Univariate and multivariate analyses found marital status to be an independent predictor of survival. Subgroup survival analysis showed that the OS and CSS rates in widowed patients were always the lowest in the various American Joint Committee on Cancer stages, irrespective of sex. Widowed patients demonstrated worse OS and CSS in the 1:1 matched group analysis. Among patients with laryngeal cancer, widowed patients represented the highest-risk group, with the lowest OS and CSS.

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Identification and Analysis of Three Hub Prognostic Genes Related to Osteosarcoma Metastasis

Journal of Oncology ◽

10.1155/2021/6646459 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Jianye Tan ◽

Haofeng Liang ◽

Bingsheng Yang ◽

Shuang Zhu ◽

Guofeng Wu ◽

...

Keyword(s):

Regression Analysis ◽

Cox Regression ◽

Survival Rates ◽

Prognostic Biomarkers ◽

Messenger Rnas ◽

Hub Genes ◽

Cox Regression Analysis ◽

Expression Levels ◽

Kaplan Meier ◽

Before And After

Osteosarcoma (OS) often occurs in children and often undergoes metastasis, resulting in lower survival rates. Information on the complexity and pathogenic mechanism of OS is limited, and thus, the development of treatments involving alternative molecular and genetic targets is hampered. We categorized transcriptome data into metastasis and nonmetastasis groups, and 400 differential RNAs (230 messenger RNAs (mRNAs) and 170 long noncoding RNAs (lncRNAs)) were obtained by the edgeR package. Prognostic genes were identified by performing univariate Cox regression analysis and the Kaplan–Meier (KM) survival analysis. We then examined the correlation between the expression level of prognostic lncRNAs and mRNAs. Furthermore, microRNAs (miRNAs) corresponding to the coexpression of lncRNA-mRNA was predicted, which was used to construct a competitive endogenous RNA (ceRNA) regulatory network. Finally, multivariate Cox proportional risk regression analysis was used to identify hub prognostic genes. Three hub prognostic genes (ABCG8, LOXL4, and PDE1B) were identified as potential prognostic biomarkers and therapeutic targets for OS. Furthermore, transcriptions factors (TFs) (DBP, ESX1, FOS, FOXI1, MEF2C, NFE2, and OTX2) and lncRNAs (RP11-357H14.16, RP11-284N8.3, and RP11-629G13.1) that were able to affect the expression levels of genes before and after transcription were found to regulate the prognostic hub genes. In addition, we identified drugs related to the prognostic hub genes, which may have potential clinical applications. Immunohistochemistry (IHC) and quantitative real-time polymerase chain reaction (qRT-PCR) confirmed that the expression levels of ABCG8, LOXL4, and PDE1B coincided with the results of bioinformatics analysis. Moreover, the relationship between the hub prognostic gene expression and patient prognosis was also validated. Our study elucidated the roles of three novel prognostic biomarkers in the pathogenesis of OS as well as presenting a potential clinical treatment for OS.

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Survival predictors of metastatic angiosarcomas: a surveillance, epidemiology, and end results program population-based retrospective study

BMC Cancer ◽

10.1186/s12885-020-07300-7 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Shihong Ren ◽

Yucheng Wang ◽

Zhan Wang ◽

Jinxiang Shao ◽

Zhaoming Ye

Keyword(s):

Tumor Size ◽

Cox Regression ◽

Radiation Treatment ◽

Tumor Grade ◽

Population Based ◽

Cancer Specific Survival ◽

Cox Regression Analysis ◽

Metastatic Sites ◽

Survival Predictors ◽

End Results

Abstract Background Angiosarcomas (AS) have poor prognosis and often metastasize to distant sites. The potential predictors of metastatic angiosarcomas (MAS) have not been extensively investigated. The main objective of this study was to identify survival predictors of MAS. Methods Surveillance, Epidemiology, and End Results (SEER) datasets were used to identify patients with MAS from 2010 to 2016. Risk predictors were determined with the aid of Kaplan-Meier and Cox regression model analyses. Results A total of 284 MAS patients met the study entry criteria. Among these, 121 patients (42.6%) were diagnosed with metastasis in bone, 26 in brain (9.2%), 86 in liver (30.3%) and 171 in lung (60.2%). Overall, 96 patients (33.8%) had two or more metastatic sites. The 1- and 3-year overall survival (OS) rates were 20.8 and 3.8% while 1- and 3-year cancer-specific survival (CSS) rates were 22.0 and 5.2%, respectively. Cox regression analysis revealed chemotherapy, radiation treatment (RT) and tumor size ≤10 cm as independent favorable predictors of OS. In terms of CSS, tumor grade IV, tumor size > 10 cm and absence of chemotherapy were independent adverse predictors. Surgery did not prolong survival outcomes (both OS and CSS) in the current cohort. Conclusion MAS is associated with extremely poor survival. Chemotherapy, RT, and tumor size are independent predictors of OS. Chemotherapy and tumor size are independent prognostic factors of CSS. Chemotherapy is therefore recommended as the preferred treatment option for MAS patients.

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Natural history and outcomes of synchronous and metachronous colorectal cancers (CRC): A population-based analysis.

Journal of Clinical Oncology ◽

10.1200/jco.2013.31.15_suppl.3593 ◽

2013 ◽

Vol 31 (15_suppl) ◽

pp. 3593-3593

Author(s):

Jackson Chu ◽

Ozge Goktepe ◽

Winson Y. Cheung

Keyword(s):

Cox Regression ◽

Large Population ◽

Population Based ◽

Survival Outcomes ◽

Cancer Specific Survival ◽

Free Survival ◽

Presenting Symptoms ◽

Kaplan Meier ◽

Index Cancer ◽

Metachronous Tumors

3593 Background: Early data suggest that synchronous and metachronous CRC portend a worse prognosis when compared to solitary CRC. Our aims were to 1) characterize the clinical features and treatment patterns of synchronous and metachronous CRC and 2) compare their survival outcomes with those of solitary CRC. Methods: All patients diagnosed with non-metastatic CRC between 1999 and 2008 and referred to any 1 of 5 regional cancer centers in British Columbia, Canada were reviewed. Synchronous and metachronous CRC were defined as multiple (2 or more) distinct tumors that were diagnosed within and beyond 6 months of the date of index CRC diagnosis, respectively, during the study period. Patients with liver metastases at initial diagnosis were excluded. Kaplan-Meier and Cox regression analyses were used to estimate survival among the different CRC groups. Results: A total of 6360 patients were identified: 6147 (96%) solitary, 178 (3%) synchronous and 35 (1%) metachronous tumors; median age was 68 years (IQR 59-76); 57% were men; and 75% were ECOG 0/1 at the time of index cancer diagnosis. Baseline demographic characteristics were comparable across patients (all p>0.05). Compared with solitary CRC, synchronous and metachronous CRC more commonly affected the colon rather than the rectum (84 vs 85 vs 59%, respectively, p<0.001), but presenting symptoms, treatment approaches, and use of chemotherapy, radiation and surgery were similar among the different tumor groups (all p>0.05). In terms of survival, no differences were observed in 3-year relapse free survival (66 vs 66 vs 56%, p=0.20), 5-year cancer specific survival (69 vs 69 vs 53%, p=0.34) and 5-year overall survival (62 vs 59 vs 49%, p=0.74) for solitary, synchronous and metachronous CRC, respectively. These findings persisted after controlling for known prognostic factors, such as age and ECOG. Conclusions: In this large population-based cohort, there were no differences in survival outcomes among solitary, synchronous and metachronous CRC. Patients who present with multiple tumors in the colon or the rectum should be managed similarly to those who present with an isolated tumor.

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Effect of Health Care Provider Delays on Short-Term Outcomes in Patients With Colorectal Cancer: Multicenter Population-Based Observational Study

Interactive Journal of Medical Research ◽

10.2196/15911 ◽

2020 ◽

Vol 9 (3) ◽

pp. e15911

Author(s):

Ahmed Abdulaal ◽

Chanpreet Arhi ◽

Paul Ziprin

Keyword(s):

Colorectal Cancer ◽

Observational Study ◽

Proportional Hazards ◽

Cox Regression ◽

Diagnostic Delay ◽

Population Based ◽

Cox Proportional Hazards ◽

Treatment Delays ◽

Cox Regression Analysis ◽

Kaplan Meier

Background The United Kingdom has lower survival figures for all types of cancers compared to many European countries despite similar national expenditures on health. This discrepancy may be linked to long diagnostic and treatment delays. Objective The aim of this study was to determine whether delays experienced by patients with colorectal cancer (CRC) affect their survival. Methods This observational study utilized the Somerset Cancer Register to identify patients with CRC who were diagnosed on the basis of positive histology findings. The effects of diagnostic and treatment delays and their subdivisions on outcomes were investigated using Cox proportional hazards regression. Kaplan-Meier plots were used to illustrate group differences. Results A total of 648 patients (375 males, 57.9% males) were included in this study. We found that neither diagnostic delay nor treatment delay had an effect on the overall survival in patients with CRC (χ23=1.5, P=.68; χ23=0.6, P=.90, respectively). Similarly, treatment delays did not affect the outcomes in patients with CRC (χ23=5.5, P=.14). The initial Cox regression analysis showed that patients with CRC who had short diagnostic delays were less likely to die than those experiencing long delays (hazard ratio 0.165, 95% CI 0.044-0.616; P=.007). However, this result was nonsignificant following sensitivity analysis. Conclusions Diagnostic and treatment delays had no effect on the survival of this cohort of patients with CRC. The utility of the 2-week wait referral system is therefore questioned. Timely screening with subsequent early referral and access to diagnostics may have a more beneficial effect.

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Malnutrition Affects Cholesterol Paradox in Coronary Artery Disease: a 41,229 Chinese Cohort Study

10.21203/rs.3.rs-266119/v1 ◽

2021 ◽

Author(s):

Bo Wang ◽

Jin Liu ◽

Shiqun Chen ◽

Ming Ying ◽

Guanzhong Chen ◽

...

Keyword(s):

Cox Regression ◽

Cox Model ◽

Cox Regression Analysis ◽

Coronary Syndrome ◽

Kaplan Meier ◽

All Cause Mortality ◽

Chinese Cohort ◽

Artery Disease

Abstract Background: Several studies found that baseline low LDL-C concentration was associated with poor prognosis in patients with acute coronary syndrome (ACS), which was called “cholesterol paradox”. Low LDL-C concentration may reflect underlying malnutrition, which was strongly associated with increased mortality. We objected to investigate the cholesterol paradox in patients with CAD and the effects of malnutrition.Method: A total of 41,229 CAD patients admitted to Guangdong Provincial People's Hospital in China were included in this study from January 2007 to December 2018, and divided into two groups (LDL-C < 1.8 mmol/L, n=4,863; LDL-C ≥ 1.8 mmol/L, n = 36,366). We used Kaplan-Meier method and Cox regression analyses to assess the association between LDL-C levels and long-term all-cause mortality and the effect of malnutrition. Result: In this real-world cohort (mean age 62.94 years; 74.94% male), there were 5257 incidents of all-cause death during a median follow-up of 5.20 years [Inter-quartile range (IQR): 3.05-7.78 years]. Kaplan–Meier analysis showed that low LDL-C levels were associated with worse prognosis. After adjusting for baseline confounders (e.g., age, sex and comorbidities, etc.), multivariate Cox regression analysis revealed that low LDL-C level (<1.8mmol/L) was not significantly associated with all-cause mortality (adjusted HR, 1.04; 95% CI, 0.96-1.24). After adjustment of nutritional status, risk of all-cause mortality of patients with low LDL-C level decreased (adjusted HR, 0.90; 95% CI, 0.83-0.98). In the final multivariate Cox model, low LDL-C level was related to better prognosis (adjusted HR, 0.91; 95% CI, 0.84-0.99).Conclusion: Our results demonstrate that the cholesterol paradox persisted in CAD patients, but disappeared after accounting for the effects of malnutrition.

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Impact of cytoreductive surgery on outcomes of metastatic appendiceal carcinoma: a real-world, population-based study

Journal of Comparative Effectiveness Research ◽

10.2217/cer-2019-0179 ◽

2020 ◽

Vol 9 (6) ◽

pp. 431-439

Author(s):

Omar Abdel-Rahman

Keyword(s):

Overall Survival ◽

Regression Analysis ◽

Metastatic Disease ◽

Cytoreductive Surgery ◽

Mucinous Adenocarcinoma ◽

Cox Regression ◽

Cancer Specific Survival ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Appendiceal Carcinoma

Aim: To evaluate the impact of cytoreductive surgery on the outcomes of patients with metastatic appendiceal carcinoma. Methods: Surveillance, Epidemiology and End Results (SEER) database was accessed and patients with metastatic appendiceal carcinoma diagnosed (2010–2015) were reviewed. Kaplan–Meier survival estimates/log-rank testing were then used to assess overall survival outcomes according to cytoreductive surgery. Multivariable Cox regression analysis was then used to evaluate factors affecting cancer-specific survival. Factors included in this model were age, race, sex, stage and histology and cytoreductive surgery. Results: A total of 1339 patients with metastatic appendiceal carcinoma were included in the current study. Using Kaplan–Meier survival estimates to evaluate overall survival, patients with surgery for metastatic disease have better overall survival compared with patients without surgery for metastatic disease (p < 0.001). Stratifying survival analysis according to histology, the overall survival benefit from surgery for the metastases seems to be limited to patients with mucinous adenocarcinoma (p = 0.002) rather than patients with nonmucinous adenocarcinoma (p = 0.401). Multivariable Cox regression analysis was then conducted to evaluate factors predicting cancer-specific survival. The following factors were associated with worse cancer-specific survival: African-American race (hazard ratio [HR]: 1.356; 95% CI: 1.036–1.774; p = 0.026), more advanced stage (HR: 3.910; 95% CI: 2.735–5.588; p < 0.001), nonmucinous adenocarcinoma (HR for signet ring carcinoma vs mucinous adenocarcinoma: 2.119; 95% CI: 1.674–2.683; p < 0.001) and no surgical resection of metastatic disease (HR: 1.273; 95% CI: 1.067–1.519; p < 0.001). Conclusion: The current study suggests that among patients with metastatic appendiceal carcinoma, surgical cytoreduction of metastatic disease is associated with improved outcomes for patients with mucinous adenocarcinoma but not in patients with nonmucinous adenocarcinoma.

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Chemoradiation-related lymphopenia and its association with survival in patients with anal cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.4_suppl.3 ◽

2020 ◽

Vol 38 (4_suppl) ◽

pp. 3-3

Author(s):

Grace Lee ◽

Daniel W. Kim ◽

Vinayak Muralidhar ◽

Devarati Mitra ◽

Nora Horick ◽

...

Keyword(s):

Cancer Patients ◽

Anal Cancer ◽

Cox Regression ◽

Cox Model ◽

Rank Test ◽

Anal Squamous Cell Carcinoma ◽

Cox Regression Analysis ◽

Risk Of Death ◽

Kaplan Meier ◽

Increased Risk

3 Background: While treatment-related lymphopenia (TRL) is common and associated with poorer survival in multiple solid malignancies, little data exists for anal cancer. We evaluated TRL and its association with survival in anal cancer patients treated with chemoradiation (CRT). Methods: A retrospective analysis of 140 patients with non-metastatic anal squamous cell carcinoma (SCC) treated with definitive CRT was performed. Total lymphocyte counts (TLC) at baseline and monthly intervals up to 12 months after initiating CRT were analyzed. Multivariable Cox regression analysis was performed to evaluate the association between overall survival (OS) and TRL, dichotomized by G4 TRL ( < 0.2k/μl) two months after initiating CRT. Kaplan-Meier and log-rank tests were used to compare OS between patients with versus without G4 TRL. Results: Median time of follow-up was 55 months. Prior to CRT, 95% of patients had a normal TLC ( > 1k/μl). Two months after initiating CRT, there was a median of 71% reduction in TLC from baseline and 84% of patients had TRL: 11% G1, 31% G2, 34% G3, and 8% G4. On multivariable Cox model, G4 TRL at two months was associated with a 3.7-fold increased risk of death (p = 0.013). On log-rank test, the 5-year OS rate was shorter in the cohort with versus without G4 TRL at two months (32% vs. 86%, p < 0.001). Conclusions: TRL is common and may be another prognostic marker of OS in anal cancer patients treated with CRT. The association between TRL and OS supports the hypothesis that host immunity plays an important role in survival among patients with anal cancer. These results support ongoing efforts of randomized trials underway to evaluate the potential role of immunotherapy in localized anal cancer.

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Impact of gender on the survival of patients with glioblastoma

Bioscience Reports ◽

10.1042/bsr20180752 ◽

2018 ◽

Vol 38 (6) ◽

Cited By ~ 21

Author(s):

Minjie Tian ◽

Wenying Ma ◽

Yueqiu Chen ◽

Yue Yu ◽

Donglin Zhu ◽

...

Keyword(s):

Sex Hormones ◽

Survival Data ◽

Cox Regression ◽

Population Based ◽

Cancer Specific Survival ◽

Term Survival ◽

Kaplan Meier ◽

Male Patients ◽

Stratified Analysis ◽

The Impact

Background: Preclinical models have suggested a role for sex hormones in the development of glioblastoma multiforme (GBM). However, the impact of gender on the survival time of patients with GBM has not been fully understood. The objective of the present study was to clarify the association between gender and survival of patients with GBM by analyzing population-based data. Methods: We searched the Surveillance, Epidemiology, and End-Results database who were diagnosed with GBM between 2000 and 2008 and were treated with surgery. Five-year cancer specific survival data were obtained. Kaplan–Meier methods and multivariable Cox regression models were used to analyze long-term survival outcomes and risk factors. Results: A total of 6586 patients were identified; 61.5% were men and 38.5% were women. The 5-year cancer-specific survival (CSS) rates in the male and female groups were 6.8% and 8.3%, respectively (P=0.002 by univariate and P<0.001 by multivariate analysis). A stratified analysis showed that male patients always had the lowest CSS rate across localized cancer stage and different age subgroups. Conclusions: Gender has prognostic value for determining GBM risk. The role of sex hormones in the development of GBM warrants further investigation.

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