scholarly journals Prognostic factors for pulmonary large-cell neuroendocrine carcinoma: a competing-risks analysis

2019 ◽  
Author(s):  
Qian Huang ◽  
Jie Liu ◽  
Qiao Huang ◽  
Huifang Cai ◽  
Qi Zhang ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Function Analysis ◽  
Univariate Analysis ◽  
Large Cell ◽  
Tnm Stage ◽  
Lymph Node Status ◽  
Ajcc Stage ◽  
Node Status ◽  
N3 Lymph Node

Abstract Background Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is a rare and highly invasive subtype of lung cancer that accounts for fewer than 3% of cases. The prognostic factors for pulmonary LCNEC are unclear in the literature. Methods Patients diagnosed with pulmonary LCNEC between 2004 and 2015 were identified in the Surveillance, Epidemiology, and End Results (SEER) database. The CumIncidence function was used for the univariate analysis. Multivariate analysis was performed using Cox regression analysis, subdistribution hazard function analysis, and cause-specific hazard function analysis. Results We finally screened 1246 patients diagnosed with pulmonary LCNEC, among whom 796 died of LCNEC and 141 died from other causes. The univariate analysis showed that sex, primary site, laterality, American Joint Committee on Cancer (AJCC) stage, T stage, N stage, M stage, lymph-node status, surgery, and chemotherapy were significant prognostic factors for pulmonary LCNEC (P<0.05). The multivariate analysis demonstrated that sex, AJCC stage, TNM stage T4, TNM stage N3, lymph-node status, surgery, and chemotherapy were independent risk factors for the prognosis (P<0.05). Conclusion We have conducted a competing-risks analysis of patients with pulmonary LCNEC in the SEER database. The results showed that sex, AJCC stage, TNM stage T4, TNM stage N3, lymph-node status, surgery, and chemotherapy are independent prognostic factors for pulmonary LCNEC patients. The reported data represent reference information that can be used for accurate assessments of the prognosis of pulmonary LCNEC patients.

P27 as a Prognostic Factor of Early Cervical Carcinoma

2013 ◽  
Vol 23 (1) ◽  
pp. 164-169 ◽  
Author(s):  
Jiri Bouda ◽  
Ondrej Hes ◽  
Miroslava Koprivova ◽  
Martin Pesek ◽  
Tomas Svoboda ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Prognostic Factor ◽  
Cervical Carcinoma ◽  
Univariate Analysis ◽  
Figo Stage ◽  
Lymph Node Status ◽  
Tumor Diameter ◽  
Stage Ib ◽  
Node Status

ObjectiveThe aim of this study was to clarify whether the evaluation of cell-cycle regulatory protein p27 can serve as a prognostic factor in patients with International Federation of Gynecology and Obstetrics (FIGO) stage IB cervical carcinoma.Patients and MethodsA retrospective study was performed on 130 surgically treated patients with FIGO stage IB cervical carcinoma with at least a 5-year follow-up. The expression of p27 was investigated independently by 2 experienced pathologists using immunohistochemistry. The prognostic significance of established prognostic factors and p27 expression were analyzed using univariate and multivariate analyses.ResultsIn a univariate analysis, lymph node status, tumor diameter, Gynecologic Oncology Group (GOG) score, lymph vascular space invasion, and p27 expression were significant prognostic factors for overall survival (OS). We found a correlation between p27 expression and lymph node status, tumor diameter, invasion, and GOG score. The p27 expression was a statistically significant prognostic factor for OS in a univariate analysis (log-rank test, P = 0.03). In a multivariate analysis, only lymph node status and tumor diameter were statistically significant prognostic factors for OS.ConclusionsThis study demonstrated that a low p27 expression is associated with lymph node metastasis, deep stromal invasion, tumor diameter more than 20 mm, and high GOG score and had a prognostic influence on OS in a univariate analysis in a series of 130 women with FIGO stage IB cervical carcinoma. Lymph node status and the diameter of the tumor were the only statistically significant prognostic factors in multivariate analysis.

ATL

2012 ◽  
Vol 22 (7) ◽  
pp. 1226-1233 ◽  
Author(s):  
Jang Yoo ◽  
Joon Young Choi ◽  
Seung Hwan Moon ◽  
Duk Soo Bae ◽  
Soo Bin Park ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Fdg Pet ◽  
Tumor Volume ◽  
Metabolic Tumor Volume ◽  
Uterine Cervical Cancer ◽  
Lymph Node Status ◽  
Free Survival ◽  
Node Status

ObjectiveWe compared the prognostic value of volume-based metabolic parameters determined using fluorine 18 (18F) fluorodeoxyglucose (FDG) positron emission tomography (PET) (18F-FDG PET) (with other prognostic parameters in uterine cervical cancer.MethodsThe subjects were 73 female patients who had an initial diagnosis of uterine cervical cancer and who underwent 18F-FDG PET. Various metabolic or volume-based PET parameters including maximum and average standardized uptake values, metabolic tumor volume, and total lesion glycolysis (TLG) were measured in primary cervical tumors. Survival analysis for disease-free survival or progression-free survival was performed with a Kaplan-Meier method using PET parameters and other clinical variables. For determining independent prognostic factors, Cox regression analysis was performed.ResultsRecurrence or disease progression occurred in 23 patients (31.5%). In univariate analysis, patient age (cutoff, 57 years, P < 0.05), International Federation of Gynecology and Obstetrics stage (P = 0.07), primary tumor size (cutoff, 6.7 cm; P < 0.05), lymph node status on PET (P < 0.005), treatment method (P < 0.01), metabolic tumor volume (cutoff, 82 cm3; P = 0.001), and TLG (cutoff, 7600; P = 0.005) were significant predictors of recurrence or progression. In multivariate analysis, both lymph node status on PET (hazard ratio, 1.042 [negative vs intrapelvic metastasis only], 7.008 [negative vs extrapelvic metastasis]; P < 0.001) and TLG (cutoff, 7600; hazard ratio, 2.981; P < 0.05) were independent prognostic factors for predicting recurrence.ConclusionsIn uterine cervical cancer, TLG, a volume-based metabolic parameter, and lymph node status on PET may be significant independent prognostic factors for event-free survival.

Prognostic factors in duodenal adenocarcinoma.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15797-e15797
Author(s):  
Brandon M Huffman ◽  
Zhaohui Jin ◽  
Cristobal T. Sanhueza ◽  
Mindy L. Hartgers ◽  
Benny Johnson ◽  
...  
Keyword(s):  
Overall Survival ◽  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Tumor Invasion ◽  
Univariate Analysis ◽  
Prognostic Significance ◽  
Clinical Staging ◽  
Lymph Node Status ◽  
Duodenal Adenocarcinoma

e15797 Background: Duodenal adenocarcinoma is a rare tumor representing approximately 0.3% of all gastrointestinal tract cancers. Prognostic factors in relation to survival outcomes for these patients are sporadically reported in the medical literature. We aimed to evaluate outcomes of patients with duodenal adenocarcinoma who underwent pancreaticojejunostomy treated at Mayo Clinic Rochester from January 1, 2006 to December 31, 2016. Methods: Clinicopathological data of 52 duodenal cancer patients were collected. JMP software was used for statistical analysis. Kaplan-Meier method and log-rank tests were used for survival analysis, and multivariate cox proportional hazards model was used to evaluate the prognostic effect of pertinent clinical variables. All tests were two sided and a P value of < 0.05 was considered significant. Results: The median age at diagnosis was 65.9 years (range 39-81). The median overall survival was 51 months (95% CI 31.3-105.4) and the median progression free survival was 30.4 months with median follow up of 73.4 months. There were 3, 9, 21, and 19 patients with stage I, II, III, and IV disease, respectively. Depth of tumor invasion (p = 0.0156) and lymph node metastasis (p = 0.0441) were associated with overall survival on multivariate analysis. Advanced clinical staging influenced overall survival in univariate analysis, but lost prognostic significance in multivariate analysis. Age, gender, surgical technique, presence of metastases, tumor size, number of lymph nodes removed, location of duodenal segment involvement, and adjuvant treatment had no significant impact on overall survival. Laparoscopic approach did not influence survival but was associated with less hospital days (p = 0.0437). Conclusions: Depth of tumor invasion and lymph node status were associated with improved overall survival in patients with duodenal adenocarcinoma. Laparoscopic procedure decreased the hospital stay without affecting outcomes.

scholarly journals Excision margins and sentinel lymph node status as prognostic factors in thick melanoma of the head and neck: A retrospective analysis

Head & Neck ◽  
2016 ◽  
Vol 38 (9) ◽  
pp. 1373-1379 ◽  
Author(s):  
Olivia Ruskin ◽  
Alexandra Sanelli ◽  
Alan Herschtal ◽  
Angela Webb ◽  
Ben Dixon ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Head And Neck ◽  
Retrospective Analysis ◽  
Lymph Node Status ◽  
Node Status ◽  
Excision Margins ◽  
Thick Melanoma ◽  
Sentinel Lymph Node Status

Impact of Preoperative CA 15-3 Levels in Operable Breast Cancer. Comparison with Tissue Polypeptide Antigen (TPA) and Carcinoembryonic Antigen (CEA)

1991 ◽  
Vol 6 (1) ◽  
pp. 21-24 ◽  
Author(s):  
R.V. Iaffaioli ◽  
F. Caponigro ◽  
G. Esposito ◽  
C. Pagliarulo ◽  
S. Deplacido ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Carcinoembryonic Antigen ◽  
Tumor Size ◽  
Operable Breast Cancer ◽  
Lymph Node Status ◽  
Tissue Polypeptide Antigen ◽  
Node Status ◽  
Similar Association

CA 15-3, TPA and CEA were assayed before surgery in 60 patients with breast cancer. A significant association was found between preoperative CA 15-3 levels and some of the most important prognostic factors in breast cancer, such as lymph node status and tumor size. No similar association was discovered for CEA and TPA. Preoperative CA 15-3 levels were also significantly associated with early recurrences of the disease, thus adding useful information to prognosis especially in N + patients.

scholarly journals Vulvar cancer: Patterns of recurrence and clinicopathological prognostic factors involved in recurrent cases

2016 ◽  
Author(s):  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Vulvar Cancer ◽  
Resection Margins ◽  
Lymph Node Status ◽  
Depth Of Invasion ◽  
Nodal Involvement ◽  
Lateral Lymph Node ◽  
Node Status ◽  
Patterns Of Recurrence

Objective: Vulvar cancer is a rare disease, with an incidence of 0.6% of all female malignancies. With the advances in management of carcinoma vulva to individualisation of treatment to reduce the psychosexual impact an aggressive treatment can have, it is imperative to understand the patterns of recurrence and the common prognostic factors involved. The aim of this study was to determine prognostic variables for recurrence and survival and to identify patterns of recurrence in patients with vulvar cancer. Materials and Methods: All patients (n=87) with primary vulvar cancer treated at the Rajiv Gandhi Cancer Institute between January, 2006 to January, 2015 who underwent surgery were retrospectively analysed regarding the prognostic relevance of different clinicopathological variables. Recurrences were evaluated with regard to their characteristics and localisation and the variables associated with them were analyzed. Results: Age, stage of tumor, size of tumor, location of tumor (central or lateral), lymph node metastasis, depth of invasion and involvement of resection margins, associated intraepithelial abnormality predicted disease-free and overall survival. In multivariate analysis, lymph node status and positive margin status was the most important independent prognostic factor (p = 0.002). Irrespective of the initial nodal involvement, recurrences occurred primarily in the vulvar region. Conclusion: Inguinofemoral lymph node status and adequate margins at initial diagnosis is of critical prognostic importance for patients with vulvar cancer. Further tumour biological characteristics need to be identified to stratify patients with nodal involvement for adjuvant radiotherapy of the vulva to prevent local recurrences.

Presurgical anemia as a predictor of relapse and survival in bladder carcinoma treated with cystectomy.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 382-382 ◽  
Author(s):  
Alvaro Pinto ◽  
Luis Eduardo García ◽  
Esther García ◽  
Noelia Herradon ◽  
Enrique Espinosa
Keyword(s):  
Lymph Node ◽  
Radical Cystectomy ◽  
Bladder Carcinoma ◽  
Performance Status ◽  
Univariate Analysis ◽  
Developed Countries ◽  
Lymph Node Status ◽  
Ecog Performance Status ◽  
Node Status ◽  
Muscle Invasive

382 Background: Bladder carcinoma is the fifth most common neoplasm in developed countries. When muscle-invasive disease is diagnosed in a localized stage, radical cystectomy is the standard treatment, with or without perioperative chemotherapy. In this retrospective study we aim to identify presurgical factors that correlate with relapse risk and survival in patients being treated with radical cystectomy without neoadjuvant chemotherapy. Methods: Patients with a history of radical cystectomy for non-metastatic muscle-invasive bladder carcinoma from 1995 to 2010 were included. They had to have an appropriate follow-up, and tissue available for further correlative studies. Demographic baseline features and therapy outcomes were collected in a retrospective fashion. Results: A total of 158 patients were included, with a median overall survival (OS) for the entire cohort of 51 months (95% IC: 17.1–84.9 months). Median relapse free survival (RFS) is 39 months (95% IC: 3.8–74.1 months). In univariate analysis, the following features were prognostic factors for RFS: ECOG performance status (0 vs ³1; 72 vs 20 months, p=0.014), hemoglobin levels (normal vs low; 144 vs 21 months, p=0.001), free surgical margins (yes vs no; 39 vs 11 months, p=0.004), lymph node status (pN0 vs pN+; 119 vs 18 months, p<0.001) and pT stage (pT2 vs pT3-4; 167 vs 20 months, p< 0.001). Other previously described factors, such as neutrophil-lymphocite ratio, thrombocytosis, creatinine clearance or the presence of hydronephrosis, were not significant in our group of patients. In the multivariate analysis, only ECOG (HR 2.32), lymph node status (HR 2.0) and hemoglobin levels (HR 1.71) were independent predictors for RFS. Conclusions: In our group of patients, apart from ECOG performance status and lymph node status, the presence of presurgical anemia could be an indicator of poorer outcomes after cystectomy. These patients should be monitored closely and maybe considered for further therapeutic procedures, such as adjuvant systemic therapy.

scholarly journals Predicting of Sentinel Lymph Node Status in Breast Cancer Patients with Clinically Negative Nodes: A Validation Study

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 352
Author(s):  
Annarita Fanizzi ◽  
Domenico Pomarico ◽  
Angelo Paradiso ◽  
Samantha Bove ◽  
Sergio Diotaiuti ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Machine Learning Algorithms ◽  
Lymph Node Status ◽  
Breast Cancer Patients ◽  
Ki 67 ◽  
Node Status ◽  
Sentinel Lymph Node Status

In the absence of lymph node abnormalities detectable on clinical examination or imaging, the guidelines provide for the dissection of the first axillary draining lymph nodes during surgery. It is not always possible to arrive at surgery without diagnostic doubts, and machine learning algorithms can support clinical decisions. The web calculator CancerMath (CM) allows you to estimate the probability of having positive lymph nodes valued on the basis of tumor size, age, histologic type, grading, expression of estrogen receptor, and progesterone receptor. We collected 993 patients referred to our institute with clinically negative results characterized by sentinel lymph node status, prognostic factors defined by CM, and also human epidermal growth factor receptor 2 (HER2) and Ki-67. Area Under the Curve (AUC) values obtained by the online CM application were comparable with those obtained after training its algorithm on our database. Nevertheless, by training the CM model on our dataset and using the same feature, we reached a sensitivity median value of 72%, whereas the online one was equal to 46%, despite a specificity reduction. We found that the addition of the prognostic factors Her2 and Ki67 could help improve performances on the classification of particular types of patients with the aim of reducing as much as possible the false positives that lead to axillary dissection. As showed by our experimental results, it is not particularly suitable for use as a support instrument for the prediction of metastatic lymph nodes on clinically negative patients.

Sign in / Sign up

Export Citation Format

Share Document