Definitive Chemoradiotherapy for Vulvar Cancer

2016 ◽  
Vol 26 (9) ◽  
pp. 1699-1705 ◽  
Author(s):  
Divya Natesan ◽  
Matthew Susko ◽  
Laura Havrilesky ◽  
Junzo Chino
Keyword(s):  
Local Recurrence ◽  
Hazard Rate ◽  
Vulvar Cancer ◽  
Cox Regression ◽  
Late Toxicity ◽  
Skin Toxicity ◽  
Distant Recurrence ◽  
Skin Changes ◽  
Kaplan Meier ◽  
The Common

ObjectivesThis study aimed to evaluate clinical outcomes after chemoradiation (CRT) for the definitive (nonsurgical) treatment of vulvar cancer.Materials and MethodsWomen with vulvar cancer treated with definitive CRT at a single academic institution between 1994 and 2015 were retrospectively identified. Overall survival (OS), freedom from local recurrence, freedom from distant recurrence, and late toxicities were estimated using the Kaplan–Meier method at 3 years after radiotherapy completion. Univariate Cox regression models were used to estimate the effects of risk factors on these clinical end points. Acute and late toxicities were assessed according to the Common Terminology Criteria for Adverse Events v. 4.0.ResultsTwenty-five women met criteria for inclusion. At 3 years, OS was 71% (95% confidence interval [CI], 49%–93%), freedom from local recurrence was 65% (95% CI, 43%–87%), and freedom from distant recurrence was 78% (95% CI, 59%–97%). Older age was significantly associated with decreased OS (hazard rate, 1.069/y; 95% CI, 1.005–1.124; P = 0.035) and local recurrence (hazard rate, 1.077/y; 95% CI, 1.009–1.150; P = 0.026). Larger size of the primary was borderline associated with distant recurrence (P = 0.057). Skin changes were the most common late toxicity, with a 3-year rate of late G3 skin toxicity of 45% (95% CI, 20%–69%). The rate of lymphedema at 3 years was 25% (95% CI, 5%–44%).ConclusionsDefinitive CRT for advanced vulvar cancer was an effective and well-tolerated approach for women with unresectable disease. Further work is needed to more appropriately select women who will benefit most from a nonsurgical approach.

scholarly journals Randomized Trial of Short-Course Radiotherapy Versus Long-Course Chemoradiation Comparing Rates of Local Recurrence in Patients With T3 Rectal Cancer: Trans-Tasman Radiation Oncology Group Trial 01.04

2012 ◽  
Vol 30 (31) ◽  
pp. 3827-3833 ◽  
Author(s):  
Samuel Y. Ngan ◽  
Bryan Burmeister ◽  
Richard J. Fisher ◽  
Michael Solomon ◽  
David Goldstein ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Overall Survival ◽  
Local Recurrence ◽  
Radiation Therapy Oncology Group ◽  
Rectal Adenocarcinoma ◽  
Late Toxicity ◽  
Distant Recurrence ◽  
Oncology Group ◽  
Short Course ◽  
Long Course

Purpose To compare the local recurrence (LR) rate between short-course (SC) and long-course (LC) neoadjuvant radiotherapy for rectal cancer. Patients and Methods Eligible patients had ultrasound- or magnetic resonance imaging–staged T3N0-2M0 rectal adenocarcinoma within 12 cm from anal verge. SC consisted of pelvic radiotherapy 5 × 5 Gy in 1 week, early surgery, and six courses of adjuvant chemotherapy. LC was 50.4 Gy, 1.8 Gy/fraction, in 5.5 weeks, with continuous infusional fluorouracil 225 mg/m2 per day, surgery in 4 to 6 weeks, and four courses of chemotherapy. Results Three hundred twenty-six patients were randomly assigned; 163 patients to SC and 163 to LC. Median potential follow-up time was 5.9 years (range, 3.0 to 7.8 years). Three-year LR rates (cumulative incidence) were 7.5% for SC and 4.4% for LC (difference, 3.1%; 95% CI, −2.1 to 8.3; P = .24). For distal tumors (< 5 cm), six of 48 SC patients and one of 31 LC patients experienced local recurrence (P = .21). Five-year distant recurrence rates were 27% for SC and 30% for LC (log-rank P = 0.92; hazard ratio [HR] for LC:SC, 1.04; 95% CI, 0.69 to 1.56). Overall survival rates at 5 years were 74% for SC and 70% for LC (log-rank P = 0.62; HR, 1.12; 95% CI, 0.76 to 1.67). Late toxicity rates were not substantially different (Radiation Therapy Oncology Group/European Organisation for Research and Treatment of Cancer G3-4: SC, 5.8%; LC, 8.2%; P = .53). Conclusion Three-year LR rates between SC and LC were not statistically significantly different; the CI for the difference is consistent with either no clinically important difference or differences in favor of LC. LC may be more effective in reducing LR for distal tumors. No differences in rates of distant recurrence, relapse-free survival, overall survival, or late toxicity were detected.

Synovial Sarcoma: A Multivariate Analysis of Prognostic Factors in 112 Patients With Primary Localized Tumors of the Extremity

2000 ◽  
Vol 18 (10) ◽  
pp. 2087-2094 ◽  
Author(s):  
Jonathan J. Lewis ◽  
Cristina R. Antonescu ◽  
Denis H. Y. Leung ◽  
David Blumberg ◽  
John H. Healey ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Local Recurrence ◽  
Synovial Sarcoma ◽  
Tumor Size ◽  
Cox Regression ◽  
Distant Recurrence ◽  
Recurrence Time ◽  
Rank Test ◽  
End Points ◽  
Neurovascular Structures

PURPOSE: Synovial sarcoma is a high-grade tumor that is associated with poor prognosis. Previous studies analyzing prognostic factors are limited because of inclusion of heterogeneous cohorts of patients with nonextremity and recurrent tumors. The objective of this study was to determine independent prognostic factors of primary synovial sarcoma localized to the extremity. PATIENTS AND METHODS: Between July 1, 1982, and June 30, 1996, 112 patients underwent surgical resection for cure at our institution and then were followed-up prospectively. Clinical and pathologic factors examined for prognostic value included age, sex, tumor site and location, depth, size, microscopic status of surgical margins, invasion of bone or neurovascular structures, and monophasic or biphasic histology. The end points analyzed were the time to first local recurrence that was not preceded by a distant recurrence, time to any distant recurrence, and time to disease-related mortality. These end points were modeled using the method of Kaplan and Meier and analyzed by the log-rank test and Cox regression. RESULTS: The median duration of follow-up among survivors in this cohort of 112 patients was 72 months. The 5-year local-recurrence, distant-recurrence, and mortality rates were 12%, 39%, and 25%, respectively. Tumor size ≥ 5 cm (P = .001; relative risk [RR] = 2.7; 95% confidence interval [CI], 1.5 to 5.2) and the presence of bone or neurovascular invasion (P = .04; RR = 2.3; 95% CI, 1.0 to 5.3) were independent adverse predictors of distant recurrence. Tumor size ≥ 5 cm (P = .003; RR = 2.3; 95% CI, 1.4 to 6.3) and the presence of bone or neurovascular invasion (P = .03; RR = 2.7; 95% CI, 1.0 to 6.5) were also independent adverse predictors of mortality. CONCLUSION: The natural history of primary synovial sarcoma of the extremity is related to tumor size and invasion of bone and neurovascular structures.

scholarly journals Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ka Young Shim ◽  
Sung Won Chung ◽  
Jae Hak Jeong ◽  
Inpyeong Hwang ◽  
Chul-Kee Park ◽  
...  
Keyword(s):  
Neural Network ◽  
Local Recurrence ◽  
Cox Regression ◽  
Distant Recurrence ◽  
High Rate ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Neural Network Models ◽  
Increased Risk ◽  
Recurrence Patterns

AbstractGlioblastoma remains the most devastating brain tumor despite optimal treatment, because of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared to local recurrence, which requires different treatment planning both in clinical practice and trials. To date, perfusion-weighted MRI has revealed that perfusional characteristics of tumor are associated with prognosis. However, not much research has focused on recurrence patterns in glioblastoma: namely, local and distant recurrence. Here, we propose two different neural network models to predict the recurrence patterns in glioblastoma that utilizes high-dimensional radiomic profiles based on perfusion MRI: area under the curve (AUC) (95% confidence interval), 0.969 (0.903–1.000) for local recurrence; 0.864 (0.726–0.976) for distant recurrence for each patient in the validation set. This creates an opportunity to provide personalized medicine in contrast to studies investigating only group differences. Moreover, interpretable deep learning identified that salient radiomic features for each recurrence pattern are related to perfusional intratumoral heterogeneity. We also demonstrated that the combined salient radiomic features, or “radiomic risk score”, increased risk of recurrence/progression (hazard ratio, 1.61; p = 0.03) in multivariate Cox regression on progression-free survival.

Management of liposarcoma: A single institutional analysis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e22531-e22531
Author(s):  
Daniela Greto ◽  
Carlotta Becherini ◽  
Calogero Saieva ◽  
Giulio Francolini ◽  
Domenico Andrea Campanacci ◽  
...  
Keyword(s):  
Cox Regression ◽  
Disease Free Survival ◽  
Distant Recurrence ◽  
Tumor Depth ◽  
Single Institution ◽  
Free Survival ◽  
Kaplan Meier ◽  
Well Differentiated ◽  
Disease Free

e22531 Background: Liposarcoma (LPS) are classified into subtypes: well-differentiated (WDLPS), de-differentiated (DDLPS), myxoid (MLPS) and pleomorphic (PLS). We report a single institution cohort of patients with LPS, undergoing surgery and radiotherapy, to explore prognostic factors related to outcome and toxicity. Methods: This retrospective analysis included 186 LPS patients. Patient, tumor, and treatment variables were analyzed for local recurrence (LR-DFS) and distant metastasis (DM-DFS) disease free survival and overall survival (OS). Results: At a median follow-up of 8.6 years (range, 0.1-27.3 years), Kaplan-Meier (KM) survival analysis showed that LR, DM and OS were 75.5%, 76.6% and 48.1%, respectively. KM analysis showed that Age>56, DDLPS and lower limb localization were related to LR (p=0,001, p=0,0001 and p=0,0001, respectively). Association between LR, Age and DDLPS persisted both at univariate (p=0,003 and p=0,0001, respectively) and multivariate Cox regression (CR) analysis (p=0,024 and p=0,002). Age, tumor depth and grading influenced distant recurrence, both at KM (p=0,023, p = 0.026 and p = 0.016) and univariate CR (p=0,026, p=0,042 and p=0,012). Age and grading were confirmed at multivariate analysis (p=0,009 and p 0,017). Patients with WDLPS and wide excision had significantly better OS (p=0,001 and p=0,03, respectively), while histologic G3 and age>56 were related with worse OS (p= 0,008 and p=0,0001, respectively). Age, DDLPS and Grade were related to OS at univariate (p=0,0001, p=0,0001 and p=0,03, respectively) and multivariate CR analysis (p=0,031, p=0,0001 and p=0,001, respectively). Conclusions: Our analysis confirmed that Grade, tumor depth and histological subtype influenced survival. Further studies are needed in order to explore the influence of hystopathologic features on treatment outcomes. [Table: see text]

scholarly journals Prediction of Recurrence Patterns in Glioblastoma Using DSC-MRI Radiomics-Based Deep Learning

2020 ◽  
Author(s):  
Ka Young Shim ◽  
Sung Won Chung ◽  
Jae Hak Jeong ◽  
Inpyeong Hwang ◽  
Chul-Kee Park ◽  
...  
Keyword(s):  
Deep Learning ◽  
Local Recurrence ◽  
Cox Regression ◽  
Area Under The Curve ◽  
Progression Free Survival ◽  
Distant Recurrence ◽  
High Rate ◽  
Neural Network Models ◽  
Increased Risk ◽  
Recurrence Patterns

Abstract Glioblastoma remains the most devastating brain tumor despite optimal treatment, because of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared to local recurrence, which requires different treatment planning both in clinical practice and trials. To date, perfusion-weighted MRI has revealed that perfusional characteristics of tumor are associated with prognosis. However, not much research has focused on recurrence patterns in glioblastoma: namely, local and distant recurrence. Here, we propose two different neural network models to predict the recurrence patterns in glioblastoma that utilizes high-dimensional radiomic profiles based on perfusion MRI: area under the curve (AUC) (95% confidence interval), 0.969 (0.903-1.000) for local recurrence; 0.864 (0.726-0.976) for distant recurrence for each patient in the validation set. This creates an opportunity to provide personalized medicine in contrast to studies investigating only group differences. Moreover, interpretable deep learning identified that salient radiomic features for each recurrence pattern are related to perfusional intratumoral heterogeneity. We also demonstrated that the combined salient radiomic features, or “radiomic risk score”, increased risk of recurrence/progression (hazard ratio, 1.61; p=0.03) in multivariate Cox regression on progression-free survival.

Influence of Biologic Factors and Anatomic Site in Completely Resected Liposarcoma

2000 ◽  
Vol 18 (8) ◽  
pp. 1637-1643 ◽  
Author(s):  
David C. Linehan ◽  
Jonathan J. Lewis ◽  
Denis Leung ◽  
Murray F. Brennan
Keyword(s):  
Distant Metastasis ◽  
Cox Regression ◽  
Distant Recurrence ◽  
Tumor Location ◽  
Complete Resection ◽  
Rank Test ◽  
Adjuvant Radiation ◽  
Anatomic Site ◽  
Kaplan Meier ◽  
Size Grade

PURPOSE: Soft tissue sarcoma (STS) encompasses a group of neoplasms that are anatomically and biologically diverse. Retroperitoneal/visceral (RP/V) tumors have a poorer prognosis than extremity/trunk (E/T) lesions, and this has been attributed to frequent presentation with tumors of large size and multiorgan involvement that precludes complete resection. The worse prognosis that is associated with RP/V tumors has also been thought to be histopathologically dependent and not necessarily related to anatomic site. The aim of this study was to determine the role of anatomic site and biologic features in prognosis and outcome in patients after complete resection by examining a large cohort of STS patients with a single histopathology, ie, liposarcoma. METHODS: All patients who were treated for liposarcoma from July 1, 1982, through July 1, 1998, were included. Univariate analyses were performed using log-rank test and Kaplan-Meier estimates, and multivariate analyses were performed using Cox regression. The three end points examined were local recurrence (LR), distant recurrence, and disease-specific survival (DSS). RESULTS: Seven hundred twenty patients with liposarcoma were evaluated, and of these, 460 had completely resected primary or completely resected locally recurrent disease. Breakdown of anatomic site was 65% E/T (n = 301) and 35% RP/V (n = 159). The median follow-up period for patients who underwent complete resection was 42 months (range, 1 to 194 months). We found that RP/V site is a poor prognosticator that is independent of patient sex and age; tumor size, grade, and margin; and recurrent presentation. Sixty-nine percent of patients with RP/V tumors who died had local disease only and no distant metastasis at the time of death. CONCLUSION: In liposarcoma, tumor location exerts as strong an influence on prognosis as biology. In contrast to extremity liposarcoma, LR without distant metastasis often results in death for patients with RP/V tumors. For these patients, local control accomplished by complete surgical resection ± adjuvant radiation therapy should impact strongly on DSS.

scholarly journals Prognostic and Survival Factors in Myxofibrosarcomas

Sarcoma ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Varun Dewan ◽  
Anna Darbyshire ◽  
Vaiyapuri Sumathi ◽  
Lee Jeys ◽  
Robert Grimer
Keyword(s):  
Multivariate Analysis ◽  
Prognostic Factors ◽  
Local Recurrence ◽  
Molecular Basis ◽  
Cox Regression ◽  
Soft Tissue Sarcomas ◽  
Survival Curves ◽  
Single Institution ◽  
Kaplan Meier ◽  
Size Grade

Aim. Our study aimed to determine prognostic factors for survival and recurrence in myxofibrosarcomas based on the experience of a single institution.Methods. Patients who had been diagnosed with a myxofibrosarcoma were identified from our database. Survival and recurrence were evaluated with Kaplan Meier survival curves for univariate and cox regression for multivariate analysis.Results. 174 patients with a diagnosis of myxofibrosarcoma were identified. Two patients were excluded due to incomplete information, leaving 172 patients with a mean age of 67 years. Surgery was undertaken in all but 6 patients. Five-year survival was better for myxofibrosarcomas when compared to other soft tissue sarcomas (63% versus 57%). Size, grade of tumour, age, and metastases were all found to be prognostic factors. Local recurrence occurred in 29 patients (17%) with an overall risk of 15% at 5 years. Previous inadvertent excision significantly raised this risk to 45%. Wide surgical margins and depth of tumour, however, had no impact on recurrence.Conclusion. Factors previously identified as prognostic did not demonstrate such a relationship in our study, highlighting the unpredictable nature of myxofibrosarcomas. Future treatment may lie in developing an understanding molecular basis of the tumour and directing therapies accordingly.

RESULTS OF TREATMENT OF LOCALLY RECURRING SOFT TISSUES SARCOMAS OF EXTREMITIES

2018 ◽  
Vol 64 (3) ◽  
pp. 408-413
Author(s):  
Grigoriy Zinovev ◽  
Georgiy Gafton ◽  
Sergey Novikov ◽  
Ivan Gafton ◽  
Yekaterina Busko ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Soft Tissues ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Tumor Location ◽  
Long Term Results ◽  
Clinical Feature ◽  
National Medical ◽  
Results Of Treatment ◽  
Kaplan Meier

Background: The most striking clinical feature of soft tissues sarcomas (STS) is their ability to recur. At present disputes about the clinical and morphological factors of STS recurrence such as the degree of malignancy, size, location, depth of tumor location, patient’s age and the presence of previous relapses in the anamnesis do not subside. It also requires clarification of the effect of the volume of tissues removed on the long-term results of treatment of STS as well as indications for the application of various regimes of remote radiation therapy. Materials and methods: Of 1802 registered cases of STS of extremities at the N.N. Petrov National Medical Research Center of Oncology from 2004 to 2016 there were selected data on 213 patients who suffered from at least one relapse of the disease. There was performed an assessment of overall, non-metastatic and disease-free survival using a single-factor (the Kaplan-Meier method) and multivariate analysis (the Cox regression model). Conclusion: The detection of various prognostic factors of locally recurrent STS allows determining the necessary treatment tactics (the vastness and traumatism of surgery and the advisability of radiation therapy).

Prognostic role of aberrant mTOR activation in patients with stage II and III colorectal cancer

2020 ◽  
Vol 14 (12) ◽  
pp. 1127-1137
Author(s):  
Tong-Tong Zhang ◽  
Yi-Qing Zhu ◽  
Hong-Qing Cai ◽  
Jun-Wen Zheng ◽  
Jia-Jie Hao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Poor Prognostic Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Risk Predictor

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

scholarly journals P-Cresyl Sulfate Is a Valuable Predictor of Clinical Outcomes in Pre-ESRD Patients

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Cheng-Jui Lin ◽  
Chi-Feng Pan ◽  
Chih-Kuang Chuang ◽  
Fang-Ju Sun ◽  
Duen-Jen Wang ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Cardiovascular Event ◽  
Cox Regression ◽  
Medical Center ◽  
Serum Biochemistry ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Valuable Marker ◽  
Valuable Predictor

Background/Aims. Previous studies have reported p-cresyl sulfate (PCS) was related to endothelial dysfunction and adverse clinical effect. We investigate the adverse effects of PCS on clinical outcomes in a chronic kidney disease (CKD) cohort study.Methods. 72 predialysis patients were enrolled from a single medical center. Serum biochemistry data and PCS were measured. The clinical outcomes including cardiovascular event, all-cause mortality, and dialysis event were recorded during a 3-year follow-up.Results. After adjusting other independent variables, multivariate Cox regression analysis showed age (HR: 1.12,P=0.01), cardiovascular disease history (HR: 6.28,P=0.02), and PCS (HR: 1.12,P=0.02) were independently associated with cardiovascular event; age (HR: 0.91,P<0.01), serum albumin (HR: 0.03,P<0.01), and PCS level (HR: 1.17,P<0.01) reached significant correlation with dialysis event. Kaplan-Meier analysis revealed that patients with higher serum p-cresyl sulfate (>6 mg/L) were significantly associated with cardiovascular and dialysis event (log rankP=0.03, log rankP<0.01, resp.).Conclusion. Our study shows serum PCS could be a valuable marker in predicting cardiovascular event and renal function progression in CKD patients without dialysis.

Sign in / Sign up

Export Citation Format

Share Document