Kleinzelliges Lungenkarzinom: Interdisziplinär für oder wider eine Operation entscheiden

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

<b>Background:</b> The role of surgery for small cell lung cancer (SCLC) is not clear. We aimed to evaluate this issue using a population-based database. <b>Methods:</b> 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. <b>Results:</b> 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%, <i>p</i> &#x3c; 0.001) and lung cancer-specific survival improvement (from 21.6 to 43.2%, <i>p</i> &#x3c; 0.001). Survival benefits of surgery were significant in all subgroups, including N1–2 disease, except for patients with a tumor size &#x3e;5.0 cm or T3 disease. <b>Conclusions:</b> Patients with SCLC of limited stage can benefit from surgery, including N1–2 disease. However, patients with a tumor size &#x3e;5.0 cm or advanced T stage may be unable to benefit from surgery.

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

BMC Cancer ◽  
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.

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

2021 ◽  
Vol 67 (4) ◽  
pp. 501-510
Author(s):  
Ludmila Valkova ◽  
Vakhtang Merabishvili ◽  
Aleksandra Pankratyeva ◽  
Anna Agaeva ◽  
Anton Ryzhov ◽  
...  
Keyword(s):  
Cox Regression ◽  
Cox Model ◽  
Adult Population ◽  
Treatment Method ◽  
Population Based ◽  
Malignant Neoplasms ◽  
Cancer Specific Survival ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Before And After

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

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

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.

scholarly journals Prognostic values, ceRNA network, and immune regulation function of SDPR in KRAS-mutant lung cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoqing Luo ◽  
Shunli Peng ◽  
Sijie Ding ◽  
Qin Zeng ◽  
Rong Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Immune Checkpoint ◽  
Cox Regression ◽  
Tissue Array ◽  
Lung Cancers ◽  
Cox Regression Analysis ◽  
Immune Checkpoint Molecules ◽  
Cerna Network ◽  
Kaplan Meier ◽  
Infiltration Models

Abstract Background Serum Deprivation Protein Response (SDPR) plays an important role in formation of pulmonary alveoli. However, the functions and values of SDPR in lung cancer remain unknown. We explored prognostic value, expression pattern, and biological function of SDPR in non-small cell lung cancer (NSCLC) and KRAS-mutant lung cancers. Methods SDPR expression was evaluated by quantitative real-time PCR (RT-qPCR), immunohistochemistry (IHC), and Western blot on human NSCLC cells, lung adenocarcinoma tissue array, KRAS-mutant transgenic mice, TCGA and GEO datasets. Prognostic values of SDPR were evaluated by Kaplan–Meier and Cox regression analysis. Bioinformatics implications of SDPR including SDPR-combined transcription factors (TFs) and microRNAs were predicted. In addition, correlations between SDPR, immune checkpoint molecules, and tumor infiltration models were illustrated. Results SDPR expression was downregulated in tumor cells and tissues. Low SDPR expression was an independent factor that correlated with shorter overall survival of patients both in lung cancer and KRAS-mutant subgroups. Meanwhile, ceRNA network was constructed to clarify the regulatory and biological functions of SDPR. Negative correlations were found between SDPR and immune checkpoint molecules (PD-L1, TNFRSF18, TNFRSF9, and TDO2). Moreover, diversity immune infiltration models were observed in NSCLC with different SDPR expression and copy number variation (CNV) patterns. Conclusions This study elucidated regulation network of SDPR in KRAS-mutant NSCLC, and it illustrated correlations between low SDPR expression and suppressed immune system, unfolding a prognostic factor and potential target for the treatment of lung cancer, especially for KRAS-mutant NSCLC.

scholarly journals Impact of pre-existing cardiovascular disease on treatment patterns and survival outcomes in patients with lung cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Atul Batra ◽  
Dropen Sheka ◽  
Shiying Kong ◽  
Winson Y. Cheung
Keyword(s):  
Lung Cancer ◽  
Cardiovascular Disease ◽  
Cox Regression ◽  
Population Based ◽  
Treatment Patterns ◽  
Competing Risk ◽  
Survival Outcomes ◽  
Multistate Model ◽  
Cancer Specific Survival ◽  
Increased Risk

Abstract Background Baseline cardiovascular disease (CVD) can impact the patterns of treatment and hence the outcomes of patients with lung cancer. This study aimed to characterize treatment trends and survival outcomes of patients with pre-existing CVD prior to their diagnosis of lung cancer. Methods We conducted a retrospective, population-based cohort study of patients with lung cancer diagnosed from 2004 to 2015 in a large Canadian province. Multivariable logistic regression and Cox regression models were constructed to determine the associations between CVD and treatment patterns, and its impact on overall (OS) and cancer-specific survival (CSS), respectively. A competing risk multistate model was developed to determine the excess mortality risk of patients with pre-existing CVD. Results A total of 20,689 patients with lung cancer were eligible for the current analysis. Men comprised 55%, and the median age at diagnosis was 70 years. One-third had at least one CVD, with the most common being congestive heart failure in 15% of patients. Pre-existing CVD was associated with a lower likelihood of receiving chemotherapy (odds ratio [OR], 0.53; 95% confidence interval [CI], 0.48–0.58; P < .0001), radiotherapy (OR, 0.76; 95% CI, 0.7–0.82; P < .0001), and surgery (OR, 0.56; 95% CI, 0.44–0.7; P < .0001). Adjusting for measured confounders, the presence of pre-existing CVD predicted for inferior OS (hazard ratio [HR], 1.1; 95% CI, 1.1–1.2; P < .0001) and CSS (HR, 1.1; 95% CI, 1.1–1.1; P < .0001). However, in the competing risk multistate model that adjusted for baseline characteristics, prior CVD was associated with increased risk of non-cancer related death (HR, 1.48; 95% CI, 1.33–1.64; P < 0.0001) but not cancer related death (HR, 0.98; 95% CI, 0.94–1.03; P = 0.460). Conclusions Patients with lung cancer and pre-existing CVD are less likely to receive any modality of cancer treatment and are at a higher risk of non-cancer related deaths. As effective therapies such as immuno-oncology drugs are introduced, early cardio-oncology consultation may optimize management of lung cancer.

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

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.

scholarly journals Proportions of Beneficial Factors in MLR, NLR, PLR and D-dimer in Preoperative Peripheral Blood of Patients With Early Stage Lung Cancer as Predictors of Patient Survival After Surgery

2021 ◽  
Author(s):  
jun wang ◽  
huawei li ◽  
ran xu ◽  
tong lu ◽  
jiaying zhao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Early Stage ◽  
Progression Free Survival ◽  
Early Stage Lung Cancer ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
D Dimer

Abstract ObjectiveThe purpose of this paper is to predict the following items. preoperative baseline monocyte-to-lymphocyte ratio (MLR)、neutrophil-to-lymphocyte ratio (NLR) Platura-to-lymphocyte ratio (PLR) and dimeric fibrin fragment D (D-dimer) associated with clinical outcome in patients with Early Lung Cancer (LC).MethodsWe performed a retrospective analysis of 376 patients with LC. Progression-free survival (PFS) and overall survival (OS) were assessed by Kaplan-Meier, and univariate and multivariate Cox regression analyses were performed to identify prognostic factors. Finally, multivariate Cox regression analysis was used to evaluate the influence of favorable factors on patients’ OS and PFS combined with the basic clinical characteristics of the patient ResultsAmong the variables screened by univariate Cox regression, MLR < 0.22, NLR < 1.99, PLR < 130.55 and D-Dimer < 70.5 (ng/ml) were significantly associated with both better OS and PFS. In multivariate Cox regression analysis, it was determined that MLR and D-Dimer had a better independent correlation with OS (p = 0.009, p = 0.05, respectively), while MLR was only better independently associated with PFS (P = 0.005). Furthermore, according to the number of favorable factors, patients with none of these factors had a significantly worse prognosis than patients with at least one of these factors.ConclusionBaseline characteristics of low MLR, low NLR, low PLR and low D-dimer were associated with better outcomes.

scholarly journals Comparison of Lobectomy and Sublobar Resection for Stage IA Elderly NSCLC Patients (≥70 Years): A Population-Based Propensity Score Matching’s Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Bo Zhang ◽  
Renwang Liu ◽  
Dian Ren ◽  
Xiongfei Li ◽  
Yanye Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Propensity Score ◽  
Tumor Size ◽  
Cox Regression ◽  
Large Tumor ◽  
Cox Regression Analysis ◽  
Large Tumor Size ◽  
Significant Difference ◽  
Stage Ia ◽  
Nsclc Patients

BackgroundTo investigate the differences in survival between lobectomy and sub-lobar resection for elderly stage I non-small-cell lung cancer (NSCLC) patients using the Surveillance, Epidemiology, and End Results (SEER) registry.MethodThe data of stage IA elderly NSCLC patients (≥ 70 years) with tumors less than or equal to 3 cm in diameter were extracted. Propensity-matched analysis was used. Lung cancer-specific survival (LCSS) was compared among the patients after lobectomy and sub-lobar resection. The proportional hazards model was applied to identify multiple prognostic factors.ResultsA total of 3,504 patients met criteria after propensity score matching (PSM). Although the LCSS was better for lobectomy than for sub-lobar resection in patients with tumors ≤ 3 cm before PSM (p &lt; 0.001), no significant difference in the LCSS was identified between the two treatment groups after PSM (p = 0.191). Multivariate Cox regression showed the elder age, male gender, squamous cell carcinoma (SQC) histology type, poor/undifferentiated grade and a large tumor size were associated with poor LCSS. The subgroup analysis of tumor sizes, histologic types and lymph nodes (LNs) dissection, there were also no significant difference for LCSS between lobectomy and sub-lobar resection. The sub-lobar resection was further divided into segmentectomy or wedge resection, and it demonstrated that no significant differences in LCSS were identified among the treatment subgroups either. Multivariate Cox regression analysis showed that the elder age, poor/undifferentiated grade and a large tumor size were a statistically significant independent factor associated with survival.ConclusionIn terms of LCSS, lobectomy has no significant advantage over sub-lobar resection in elderly patients with stage IA NSCLC if lymph node assessment is performed adequately. The present data may contribute to develop a more suitable surgical treatment strategy for the stage IA elderly NSCLC patients.

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

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.

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

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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