Youth Crime And The Organized Attributes Of Cyber Fraud In The Modern Technological Age: A Thematic Review

This paper establishes a link between the hitherto known traditional organized crimes and modern cyber fraud. The transnational context of fraud in the e-business environment promotes exclusive anonymity, transactional secrecy and unprecedented vulnerabilities relatively higher in impact and far above any documented assessment of organized crimes that preceded it. Mostly implicated in this emerging trend considered in this criminological discourse are the youths, commonly referred to as the Net Generation. Uniquely, these categories of people are doubly victimized. Just as they suffer acute deprivation socioeconomically, they are also systemically made representable under the criminal justice arrangement of most nations due to their incessant involvements in illicit activities. Finally, the paper made an advocacy for prompt state intervention towards arresting the precarious situations impressing it upon the youths to adopt unconventional means to attain survival

ECOG-ACRIN (E4805) Randomized Phase II Study to Determine the Effect of 2 Different Doses of Aflibercept in Patients with Metastatic Renal Cell Carcinoma

Background—Aflibercept is a recombinantly-produced fusion protein that has potent anti-VEGF activity. We tested whether aflibercept has clinical activity in clear cell renal cell carcinoma (ccRCC). The recommended Phase 2 dose was 4 mg/kg but several patients treated at 1 mg/kg demonstrated prolonged progression-free survival (PFS). We therefore tested both doses in a parallel group randomized trial. Methods—Eligible patients (pts) had histologically confirmed advanced or metastatic ccRCC and previous treatments including prior exposure to a VEGF RTKI. Patients received aflibercept (either 1 mg/kg or 4 mg/kg) day 1 of a 14-day cycle until progression. Patients randomized to 1 mg/kg could crossover to 4 mg/kg at progression. The primary endpoint was proportion alive and progression-free at 8 weeks. A Simon 2-stage design was used for each arm with 33 and 24 eligible pts/arm enrolled in stages 1 and 2. Results—94 pts were enrolled, 59 and 35 to 4 mg and 1 mg doses, respectively. 72% had 1 prior tx most commonly sunitinib. 16 eligible pts crossed over at progression to the 4 mg dose. Most common adverse events were hypertension, proteinuria, and fatigue. Only 4 pts reported Grade 4 or higher toxicity. With 36/59 (61%) pts PFS at 8 wks, the 4-mg/kg dose met protocol specified efficacy criteria. Conclusions—Aflibercept is active in previously treated ccRCC and may be worthy of further study

Phase II study of nivolumab and salvage nivolumab/ipilimumab in treatment-naïve patients with advanced non-clear cell renal cell carcinoma (HCRN GU16-260-Cohort B)

Background To determine the efficacy and toxicity of nivolumab monotherapy in treatment-naive patients with non-clear cell renal cell carcinoma (nccRCC) and the efficacy of nivolumab/ipilimumab salvage therapy in patients with tumors unresponsive to initial nivolumab monotherapy.Methods Eligible patients with treatment-naive nccRCC received nivolumab until progressive disease (PD), toxicity, or completion of 96 weeks of treatment (Part A). Patients with PD prior to, or stable disease (SD) at 48 weeks (prolonged SD) were potentially eligible to receive salvage nivolumab/ipilimumab (Part B). Patients were required to submit tissue from a metastatic lesion obtained within 12 months prior to study entry and prior to Part B for correlative studies.Results 35 patients with nccRCC were enrolled: 19 (54%) had papillary, 6 (17%) had chromophobe and 10 (29%) had unclassified histology. At median follow-up of 22.9 months, RECIST-defined objective response rate (ORR) was 5 of 35 (14.3% 95% CI 4.8% to 30.3%) (complete response (CR) 2 (5.7%) and partial response (PR) 3 (8.6%)). ORR by histology was: papillary-1/19 (5%); chromophobe-1/6 (17%); and unclassified-3/10 (30%). Nine patients (26%) had tumors with sarcomatoid features with 3 (33%) (2 unclassified and 1 papillary) responding. ORR was 0/18, 3/11 (27%) and 2/6 (33%) for patients with tumor progammed death ligand 1 (PD-L1) expression of = 5% or not measured, respectively. Median progression-free survival was 4.0 (2.7-4.3) months. Two of five responders have progressed. Thirty-two patients had PD or prolonged SD and therefore, were potentially eligible for salvage nivolumab/ipilimumab (Part B), but 15 patients did not enroll due to grade 2-3 toxicity (6) on nivolumab, symptomatic disease progression (5), or other reasons including no biopsy tissue (4). In the 17 Part B patients, there was one PR (6%) (unclassified/non-sarcomatoid). Grade >3 treatment-related adverse events were seen in 7/35 (20%) on nivolumab and 7/17 (41%) on salvage nivolumab/ipilimumab with one patient experiencing sudden death.Conclusions Nivolumab monotherapy has limited activity in treatment-naive nccRCC with most responses (4 of 5) seen in patients with sarcomatoid and/or unclassified tumors. Toxicity is consistent with prior nivolumab studies. Salvage treatment with nivolumab/ipilimumab was provided in half of these patients with minimal activity

ADVERTISING INFLUENCE IN PROMOTING BRANDHERITAGE FOR TOURISM: A STUDY OF 2016 CALABARCARNIVAL, NIGERIA

In Nigeria, tourism is one of the untapped resources that can generatesignificant revenue for the nation. However, a state such as CrossRiver has organized tourist activities to promote the culturaltraditions and heritage of the Nigerian people. Advertising hasbecome a very multifaceted institution. It is a means of disseminatinginformation about a product, service or idea, its attributes or qualitiesand locations of sales. The study therefore attempted to investigatehow advertising has contributed to the choice of Calabar for touristrelaxations as well as assess the extent to which the Calabar carnivalhas promoted the culture of tourism in Nigeria. The study was anchored on the hierarchy of eff ects model. The study made use ofthe survey design and the instruments for data collection werequestionnaire and interview. The population for the study wastourists present at the 2016 Calabar carnival which had a sample sizeof 350 but only 347 copies of the questionnaire were useful foranalysis. The findings of the study showed that advertising hasindeed contributed to the choice of Calabar for tourist relaxation. Thestudy went further in discovering that 98% of the respondents felt theCalabar carnival had a positive eff ect on tourism in Nigeria. Thefinding also revealed that the medium respondents viewed suchadverts through was mostly through the television. The researcherstherefore recommend that for Nigeria to be a pacesetter in Culturalheritage in Africa, more limelight should be given to tourism becauseof its potential especially to a developing nation like Nigeria withabundant tourism attractions. Hence, the study concluded on thenote that advertising the Calabar carnival is impactful as it providesenlightenment, generates interest and promotes relaxationexperiences

Local recurrence following resection of intermediate-high risk nonmetastatic renal ell arcinoma: an anatomical lassification and analysis of the ASSURE (ECOG-ACRIN E2805) adjuvant trial

PURPOSE: We describe what is to our knowledge a novel classification system for local recurrence after surgery of renal cell carcinoma. We assessed its prognostic implications using prospective, randomized controlled data. MATERIALS AND METHODS: We queried the ASSURE (Sunitinib Malate or Sorafenib Tosylate in Treating Patients With Kidney Cancer That Was Removed By Surgery) (ECOG-ACRIN [Eastern Cooperative Oncology Group-American College of Radiology Imaging Network] E2805) trial data for patients with fully resected, intermediate-high risk, nonmetastatic renal cell carcinoma with local recurrence. We used certain definitions, including type I-single recurrence in a remnant kidney or ipsilateral renal fossa, type II-single recurrence in the ipsilateral vasculature, the ipsilateral adrenal gland or a lymph node, type III-single recurrence in other intra-abdominal soft tissues or organs and type IV-any combination of types I-III or multiple recurrences of a single type. Multivariable logistic regression and the log rank test were performed to identify clinicopathological predictors and compare survival, respectively. RESULTS: Of the 1,943 patients 300 (15.4%) had local recurrence, which was type I, II, III and IV in 66 (22.0%), 97 (32.3%), 87 (29.0%) and 50 (16.7%), respectively. Surgical modality (minimally invasive vs open) and type of surgery (partial vs radical) did not predict any local recurrence. Five-year cancer specific survival and overall survival were worse in patients with type IV recurrence (each p CONCLUSIONS: In patients with intermediate-high risk nonmetastatic renal cell carcinoma local recurrence appears to be a function of biology more than of surgical modality or surgery type. The prognosis for solitary intra-abdominal local recurrences appear similar regardless of location (types I-III). Local recurrences involving multiple sites and/or subdivisions are associated with worse survival (type IV)

Predicting disease recurrence, early progression, and overall survival following surgical resection for high-risk localized and locally advanced renal cell carcinoma

BACKGROUND: Risk stratification for localized renal cell carcinoma (RCC) relies heavily on retrospective models, limiting their generalizability to contemporary cohorts. OBJECTIVE: To introduce a contemporary RCC prognostic model, developed using prospective, highly annotated data from a phase III adjuvant trial. DESIGN, SETTING, AND PARTICIPANTS: The model utilizes outcome data from the ECOG-ACRIN 2805 (ASSURE) RCC trial. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome for the model is disease-free survival (DFS), with overall survival (OS) and early disease progression (EDP) as secondary outcomes. Model performance was assessed using discrimination and calibration tests. RESULTS AND LIMITATIONS: A total of 1735 patients were included in the analysis, with 887 DFS events occurring over a median follow-up of 9.6 yr. Five common tumor variables (histology, size, grade, tumor necrosis, and nodal involvement) were included in each model. Tumor histology was the single most powerful predictor for each model outcome. The C-statistics at 1 yr were 78.4% and 81.9% for DFS and OS, respectively. Degradation of the DFS, DFS validation set, and OS model\u27s discriminatory ability was seen over time, with a global c-index of 68.0% (95% confidence interval or CI [65.5, 70.4]), 68.6% [65.1%, 72.2%], and 69.4% (95% CI [66.9%, 71.9%], respectively. The EDP model had a c-index of 75.1% (95% CI [71.3, 79.0]). CONCLUSIONS: We introduce a contemporary RCC recurrence model built and internally validated using prospective and highly annotated data from a clinical trial. Performance characteristics of the current model exceed available prognostic models with the added benefit of being histology inclusive and TNM agnostic. PATIENT SUMMARY: Important decisions, including treatment protocols, clinical trial eligibility, and life planning, rest on our ability to predict cancer outcomes accurately. Here, we introduce a contemporary renal cell carcinoma prognostic model leveraging high-quality data from a clinical trial. The current model predicts three outcome measures commonly utilized in clinical practice and exceeds the predictive ability of available prognostic models

Local Recurrence Following Resection of Intermediate-High Risk Nonmetastatic Renal Cell Carcinoma: An Anatomical Classification and Analysis of the ASSURE (ECOG-ACRIN E2805) Adjuvant Trial.

PurposeWe describe what is to our knowledge a novel classification system for local recurrence after surgery of renal cell carcinoma. We assessed its prognostic implications using prospective, randomized controlled data.Materials and methodsWe queried the ASSURE (Sunitinib Malate or Sorafenib Tosylate in Treating Patients With Kidney Cancer That Was Removed By Surgery) (ECOG-ACRIN [Eastern Cooperative Oncology Group-American College of Radiology Imaging Network] E2805) trial data for patients with fully resected, intermediate-high risk, nonmetastatic renal cell carcinoma with local recurrence. We used certain definitions, including type I-single recurrence in a remnant kidney or ipsilateral renal fossa, type II-single recurrence in the ipsilateral vasculature, the ipsilateral adrenal gland or a lymph node, type III-single recurrence in other intra-abdominal soft tissues or organs and type IV-any combination of types I-III or multiple recurrences of a single type. Multivariable logistic regression and the log rank test were performed to identify clinicopathological predictors and compare survival, respectively.ResultsOf the 1,943 patients 300 (15.4%) had local recurrence, which was type I, II, III and IV in 66 (22.0%), 97 (32.3%), 87 (29.0%) and 50 (16.7%), respectively. Surgical modality (minimally invasive vs open) and type of surgery (partial vs radical) did not predict any local recurrence. Five-year cancer specific survival and overall survival were worse in patients with type IV recurrence (each p <0.001). There was no difference in survival among patients with types I to III recurrence.ConclusionsIn patients with intermediate-high risk nonmetastatic renal cell carcinoma local recurrence appears to be a function of biology more than of surgical modality or surgery type. The prognosis for solitary intra-abdominal local recurrences appear similar regardless of location (types I-III). Local recurrences involving multiple sites and/or subdivisions are associated with worse survival (type IV)

Predicting Disease Recurrence, Early Progression, and Overall Survival Following Surgical Resection for High-risk Localized and Locally Advanced Renal Cell Carcinoma

BackgroundRisk stratification for localized renal cell carcinoma (RCC) relies heavily on retrospective models, limiting their generalizability to contemporary cohorts.ObjectiveTo introduce a contemporary RCC prognostic model, developed using prospective, highly annotated data from a phase III adjuvant trial.Design, setting, and participantsThe model utilizes outcome data from the ECOG-ACRIN 2805 (ASSURE) RCC trial.Outcome measurements and statistical analysisThe primary outcome for the model is disease-free survival (DFS), with overall survival (OS) and early disease progression (EDP) as secondary outcomes. Model performance was assessed using discrimination and calibration tests.Results and limitationsA total of 1735 patients were included in the analysis, with 887 DFS events occurring over a median follow-up of 9.6 yr. Five common tumor variables (histology, size, grade, tumor necrosis, and nodal involvement) were included in each model. Tumor histology was the single most powerful predictor for each model outcome. The C-statistics at 1 yr were 78.4% and 81.9% for DFS and OS, respectively. Degradation of the DFS, DFS validation set, and OS model's discriminatory ability was seen over time, with a global c-index of 68.0% (95% confidence interval or CI [65.5, 70.4]), 68.6% [65.1%, 72.2%], and 69.4% (95% CI [66.9%, 71.9%], respectively. The EDP model had a c-index of 75.1% (95% CI [71.3, 79.0]).ConclusionsWe introduce a contemporary RCC recurrence model built and internally validated using prospective and highly annotated data from a clinical trial. Performance characteristics of the current model exceed available prognostic models with the added benefit of being histology inclusive and TNM agnostic.Patient summaryImportant decisions, including treatment protocols, clinical trial eligibility, and life planning, rest on our ability to predict cancer outcomes accurately. Here, we introduce a contemporary renal cell carcinoma prognostic model leveraging high-quality data from a clinical trial. The current model predicts three outcome measures commonly utilized in clinical practice and exceeds the predictive ability of available prognostic models

Predicting Renal Cancer Recurrence: Defining Limitations of Existing Prognostic Models With Prospective Trial-Based Validation.

PurposeTo validate currently used recurrence prediction models for renal cell carcinoma (RCC) by using prospective data from the ASSURE (ECOG-ACRIN E2805; Adjuvant Sorafenib or Sunitinib for Unfavorable Renal Carcinoma) adjuvant trial.Patients and methodsEight RCC recurrence models (University of California at Los Angeles Integrated Staging System [UISS]; Stage, Size, Grade, and Necrosis [SSIGN]; Leibovich; Kattan; Memorial Sloan Kettering Cancer Center [MSKCC]; Yaycioglu; Karakiewicz; and Cindolo) were selected on the basis of their use in clinical practice and clinical trial designs. These models along with the TNM staging system were validated using 1,647 patients with resected localized high-grade or locally advanced disease (≥ pT1b grade 3 and 4/pTanyN1Mo) from the ASSURE cohort. The predictive performance of the model was quantified by assessing its discriminatory and calibration abilities.ResultsProspective validation of predictive and prognostic models for localized RCC showed a substantial decrease in each of the predictive abilities of the model compared with their original and externally validated discriminatory estimates. Among the models, the SSIGN score performed best (0.688; 95% CI, 0.686 to 0.689), and the UISS model performed worst (0.556; 95% CI, 0.555 to 0.557). Compared with the 2002 TNM staging system (C-index, 0.60), most models only marginally outperformed standard staging. Importantly, all models, including TNM, demonstrated statistically significant variability in their predictive ability over time and were most useful within the first 2 years after diagnosis.ConclusionIn RCC, as in many other solid malignancies, clinicians rely on retrospective prediction tools to guide patient care and clinical trial selection and largely overestimate their predictive abilities. We used prospective collected adjuvant trial data to validate existing RCC prediction models and demonstrate a sharp decrease in the predictive ability of all models compared with their previous retrospective validations. Accordingly, we recommend prospective validation of any predictive model before implementing it into clinical practice and clinical trial design