Dataset Information

Survival Patterns for Patients with Resected N2 Non-Small Cell Lung Cancer and Postoperative Radiotherapy: A Prognostic Scoring Model and Heat Map Approach.

ABSTRACT: INTRODUCTION:The positive-to-resected lymph node ratio (LNR) predicts survival in many cancers, but little information is available on its value for patients with N2 NSCLC who receive postoperative radiotherapy (PORT) after resection. We tested the applicability of prognostic scoring models and heat mapping to predict overall survival (OS) and cancer-specific survival (CSS) in patients with resected N2 NSCLC and PORT. METHODS:Our test cohort comprised patients identified from the Surveillance, Epidemiology, and End Results database with N2 NSCLC who received resection and PORT in 2000-2014. Prognostic scoring models were developed to predict OS and CSS using Cox regression; heat maps were constructed with corresponding survival probabilities. Recursive partitioning analysis was applied to the Surveillance, Epidemiology, and End Results data to identify the optimal LNR cutoff point. Models and cutoff points were further tested in 183 similar patients treated at The University of Texas M. D. Anderson Cancer Center in 2000-2015. RESULTS:Multivariate analyses revealed that low LNR independently predicted better OS and CSS in patients with resected N2 NSCLC who received PORT. CONCLUSIONS:LNR can be used to predict survival of patients with resected N2 NSCLC followed by PORT. This approach, which to our knowledge is the first application of heat mapping of positive and negative lymph nodes, was effective in estimating 3-, 5-, and 10-year OS probabilities.

SUBMITTER: Deng W

PROVIDER: S-EPMC6552655 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Survival Patterns for Patients with Resected N2 Non-Small Cell Lung Cancer and Postoperative Radiotherapy: A Prognostic Scoring Model and Heat Map Approach.

Deng Weiye W Xu Ting T Xu Yujin Y Wang Yifan Y Liu Xiangyu X Zhao Yu Y Yang Pei P Liao Zhongxing Z

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 20180905 12

<h4>Introduction</h4>The positive-to-resected lymph node ratio (LNR) predicts survival in many cancers, but little information is available on its value for patients with N2 NSCLC who receive postoperative radiotherapy (PORT) after resection. We tested the applicability of prognostic scoring models and heat mapping to predict overall survival (OS) and cancer-specific survival (CSS) in patients with resected N2 NSCLC and PORT.<h4>Methods</h4>Our test cohort comprised patients identified from the ...[more]

PMID: 30194035

Similar Datasets

Project description:ObjectivesAlthough postoperative radiotherapy (PORT) could reduce the incidence of local recurrence in patients with IIIA-N2 non-small cell lung cancer (NSCLC), the role of PORT on survival in patients with surgically treated stage IIIA-N2 NSCLC remains controversial. Therefore, this study was designed to evaluate the effect of PORT on survival for patients with surgically treated stage IIIA-N2 NSCLC.Materials and methodsThis study population was chosen from the Surveillance, Epidemiology, and End Results database. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) and cancer special survival (CSS) outcomes. To balance baseline characteristics between the non-PORT group and PORT group, propensity score matching (PSM) with 1:1 propensity nearest-neighbor match by 0.001 matching tolerance was conducted by R software. Furthermore, a Kaplan-Meier curve was used to visualize the OS and CSS between the PORT group and non-PORT group survival probability.ResultsOf all evaluated cases, 4511 with IIIA-N2 NSCLC were eligible for inclusion, of which 1920 were enrolled into the PORT group. On univariate analysis and multivariate analysis, sex, age, year of diagnosis, race, histologic type, T stage, PORT, use of chemotherapy, and positive regional nodes were significantly associated with OS and CSS in IIIA-N2 NSCLC (P < 0.05). However, PORT was not significantly associated with OS (univariate HR = 0.92, 95%CI 0.85-0.99, P = 0.02; multivariate HR = 1.01, 95%CI 0.93-1.08, P = 0.91) and CSS (univariate HR = 0.92, 95%CI 0.85-1.01, P = 0.06; multivariate HR = 1.103 95%CI 0.94-1.12, P = 0.56) in IIIA-N2 NSCLC. Meanwhile, after PSM, neither OS nor CSS did differ significantly between the non-PORT group and PORT group (OS HR = 1.08, 95%CI 0.98-1.19, P = 0.12; CSS HR = 1.10, 95%CI 0.99-1.23, P = 0.07).ConclusionPORT did not contribute to a survival benefit in patients with surgically treated stage IIIA-N2 NSCLC.

Project description:BackgroundLiver resection is the most effective treatment for intrahepatic cholangiocarcinoma. Recurrent disease is frequent; however, recurrence patterns are ill-defined and prognostic models are lacking.Study designA primary cohort of 189 patients who underwent resection for intrahepatic cholangiocarcinoma was used for recurrence patterns analysis within and after 24 months. Based on independent factors for disease-free survival identified in Cox regression analysis, preoperative and postoperative models were developed using a recursive partitioning method. Models were externally validated using a multicenter cohort of 522 resected patients (Association Française de Chirurgie intrahepatic cholangiocarcinoma study group).ResultsRecurrence within 24 months most often involved the liver (82.7%), and most recurrences after 24 months were strictly extrahepatic (61.1%). In multivariable analysis of the primary cohort, independent preoperative factors for disease-free survival were tumor size and multifocality (based on imaging); tumor size, multifocality, vascular invasion, and lymph node metastases (based on pathology) were independent postoperative factors. The preoperative model allowed patient classification into low-risk and high-risk groups for recurrence. In the validation cohort (n = 522), high-risk patients had a greater likelihood of recurrence (hazard ratio = 2.17; 95% CI, 1.74-2.72; p < 0.001). The postoperative model included tumor size, vascular invasion, and positive nodal disease on pathology and classified patients in low-, intermediate-, and high-risk groups in the primary cohort. As compared with low-risk patients in the validation cohort, intermediate- and high-risk patients were more likely to experience recurrence (hazard ratio = 1.9; 95% CI, 1.41-2.47; p < 0.001 and hazard ratio = 2.99; 95% CI, 2.08-4.31; p < 0.001, respectively).ConclusionsRecurrence patterns are time dependent. Both models as developed and validated in this study classified patients in distinct recurrence risk groups, which can guide treatment recommendations.

Project description:ImportanceConsidering its low completion rate, the survival benefit associated with postoperative chemotherapy (PC) is unclear in patients with resectable gastric adenocarcinoma who received preoperative chemotherapy.ObjectiveTo determine whether preoperative chemosensitivity is associated with postoperative survival among patients with resectable gastric adenocarcinoma who receive PC.Design, setting, and participantsThis national, hospital-based cohort study used data from the National Cancer Database, which covers more than 70% newly diagnosed gastric adenocarcinomas in the US, between 2006 and 2017. Participants included patients with clinical stage II or III disease treated with preoperative chemotherapy and curative-intent resection, excluding radiotherapy. Preoperative chemosensitivity was defined as very sensitive (ypT0N0), sensitive (pathological TNM stage less than clinical, excluding ypT0N0), and refractory (pathological greater than or equal to clinical). Data were analyzed in April 2021.ExposuresReceipt of PC or not.Main outcomes and measuresOverall survival from surgical discharge.ResultsThis study included 2382 patients (1599 men [67%]; median [IQR] age, 63 [54-70] years). Most patients (1524 patients [64%]) received no PC. Most patients (1483 patients [62%]) had refractory disease, followed by sensitive disease (727 patients [31%]) and very sensitive disease (172 patients [7%]). Patients with older age (odds ratio [OR], 0.99; 95% CI, 0.97-1.00), comorbidity (OR, 0.71; 95% CI, 0.57-0.90), longer time from chemotherapy initiation to surgery (OR, 0.99; 95% CI, 0.97-1.00), less sensitivity to preoperative chemotherapy (very sensitive vs refractory OR, 0.58; 95% CI, 0.37-0.89; sensitive vs refractory OR, 0.96; 95% CI, 0.76-1.20), and longer surgical hospitalization (OR, 0.95; 95% CI, 0.93-0.97) had a significantly lower likelihood of receiving PC. PC was not associated with improved survival in the whole group (hazard ratio [HR], 0.88; 95% CI, 0.75-1.02). Patients with refractory disease had the worst survival compared with patients with sensitive disease (HR, 0.39; 95% CI, 0.32-0.46) and those with very sensitive disease (HR, 0.12; 95% CI, 0.07-0.20). Preoperative chemosensitivity was significantly associated with the survival benefit from PC (P for interaction = .03). PC was significantly associated with longer survival in patients with sensitive disease (5-year survival rate, 73.8% in the PC group vs 65.0% in the no PC group; HR, 0.64; 95% CI, 0.46-0.91), but not in those with very sensitive disease (5-year survival rate, 80.0% in the PC group vs 90.8% in the no PC group; HR, 2.45; 95% CI, 0.81-7.43) and those with refractory disease (5-year survival rate, 41.8% in the PC group vs 40.7% in the no PC group; HR, 0.93; 95% CI, 0.79-1.10).Conclusions and relevanceIn this cohort study, preoperative chemosensitivity was associated with survival among patients with resectable gastric adenocarcinoma who received PC. These findings may help inform future studies to personalize postoperative therapy.

Dataset Information

Survival Patterns for Patients with Resected N2 Non-Small Cell Lung Cancer and Postoperative Radiotherapy: A Prognostic Scoring Model and Heat Map Approach.

Publications

Survival Patterns for Patients with Resected N2 Non-Small Cell Lung Cancer and Postoperative Radiotherapy: A Prognostic Scoring Model and Heat Map Approach.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets