Predictor Of Aggressive Disease Research Articles

Optimizing 5-aminosalicylate for moderate ulcerative colitis: expert recommendations from the Asia-Pacific, Middle East, and Africa Inflammatory Bowel Disease Coalition.

The lack of clear definition and classification for "moderate ulcerative colitis (UC)" creates ambiguity regarding the suitability of step-up versus top-down treatment approaches. In this paper, experts address crucial gaps in assessing and managing moderate UC. The Asia-Pacific, Middle East, and Africa Inflammatory Bowel Disease Coalition comprised 24 experts who convened to share, discuss and vote electronically on management recommendations for moderate UC. Experts emphasized that the goal of treating UC is to attain clinical, biomarker, and endoscopic remission using cost-effective strategies such as 5-aminosalicylates (5-ASAs), well-tolerated therapy that can be optimized to improve outcomes. Experts agreed that 5-ASA therapy could be optimized by maximizing dosage (4 g/day for induction of remission), combining oral and topical administration, extending treatment duration beyond 8 weeks, and enhancing patient adherence through personalized counselling and reduced pill burden. Treatment escalation should ideally be reserved for patients with predictors of aggressive disease or those who do not respond to 5-ASA optimization. Premature treatment escalation to advanced therapies (including biologics and oral small molecules) may have long-term health and financial consequences. This paper provides consensus-based expert recommendations and a treatment algorithm, based on current evidence and practices, to assist decision-making in real-world settings.

Transcriptomic Differences in Medullary Thyroid Carcinoma According to Grade

Medullary thyroid carcinoma (MTC) is a rare cancer derived from neuroendocrine C-cells of the thyroid. In contrast to other neuroendocrine tumors, a histological grading system was lacking until recently. A novel two-tier grading system based on the presence of high proliferation or necrosis is associated with prognosis. Transcriptomic analysis was conducted on 21 MTCs, including 9 high-grade tumors, with known mutational status, using the NanoString Tumor Signaling 360 Panel. This analysis, covering 760 genes, revealed upregulation of the genes EGLN3, EXO1, UBE2T, UBE2C, FOXM1, CENPA, DLL3, CCNA2, SOX2, KIF23, and CDCA5 in high-grade MTCs. Major pathways differentially expressed between high-grade and low-grade MTCs were DNA damage repair, p53 signaling, cell cycle, apoptosis, and Myc signaling. Validation through qRT-PCR in 30 MTCs demonstrated upregulation of ASCL1, DLL3, and SOX2 in high-grade MTCs, a gene signature akin to small-cell lung carcinoma, molecular subgroup A. Subsequently, DLL3 expression was validated by immunohistochemistry. MTCs with DLL3 overexpression (defined as ≥ 50% of positive tumor cells) were associated with significantly lower disease-free survival (p = 0.041) and overall survival (p = 0.01). Moreover, MTCs with desmoplasia had a significantly increased expression of DLL3. Our data supports the idea that DLL3 should be further explored as a predictor of aggressive disease and poor outcomes in MTC.

Risk factors associated with severe recurrent respiratory papillomatosis.

BackgroundRecurrent respiratory papillomatosis can present with a highly variable clinical course. The disease can cause serious morbidity and can be fatal because of airway obstruction. We examined whether the age of onset, gender, human immunodeficiency virus (HIV) infection and dysplasia on analysis of histological specimens were predictive of an aggressive disease course.ObjectivesTo conduct an audit of all patients presenting with Recurrent Respiratory Papillomatosis at our institution and to determine if an earlier age of onset, gender, HIV and dysplasia are predictive factors for an aggressive disease course.MethodsA total of 202 clinical records and histological reports were reviewed at a quaternary-level hospital in Durban, South Africa. The disease was defined as juvenile onset (< 18 years) or adult onset (≥ 18 years). Aggressive disease was defined as a disease requiring 10 or more surgical debulkings in total and or extralaryngeal papilloma.ResultsA total of 184 patients were of juvenile onset and 18 were of adult onset. In the juvenile onset group, a total of 97 patients (52.8%) had aggressive disease. In the juvenile onset group, a later age of onset was associated with less aggressive disease (odds ratio [OR] = 0.77, p < 0.05). There were 20 (10.9%) HIV-positive patients. HIV infection was a predictor of aggressive disease (OR = 3, p < 0.029). Analysis of histological reports revealed that 39 (21.2%) of patients had dysplasia. Dysplasia was a predictor of aggressive disease (OR = 9.96, p < 0.05%). In the adult onset group, only two patients (11.1%) had aggressive disease.ConclusionAn earlier age of onset, HIV infection and dysplasia were predictors of aggressive disease in the juvenile onset group.

The nuclear oncogene SET controls DNA repair by KAP1 and HP1 retention to chromatin.

Cells experience damage from exogenous and endogenous sources that endanger genome stability. Several cellular pathways have evolved to detect DNA damage and mediate its repair. Although many proteins have been implicated in these processes, only recent studies have revealed how they operate in the context of high-ordered chromatin structure. Here, we identify the nuclear oncogene SET (I2PP2A) as a modulator of DNA damage response (DDR) and repair in chromatin surrounding double-strand breaks (DSBs). We demonstrate that depletion of SET increases DDR and survival in the presence of radiomimetic drugs, while overexpression of SET impairs DDR and homologous recombination (HR)-mediated DNA repair. SET interacts with the Kruppel-associated box (KRAB)-associated co-repressor KAP1, and its overexpression results inthe sustained retention of KAP1 and Heterochromatin protein 1 (HP1) on chromatin. Our results are consistent with a model in which SET-mediated chromatin compaction triggers an inhibition of DNA end resection and HR.

Abstract 916: A multidimensional analysis of predictive biomarkers in colorectal cancer

Abstract Background: CRC cancer is one of the deadliest diseases in Western countries. In order to develop predictive biomarkers for CRC (colorectal cancer) aggressiveness, we analyzed retrospectively 267 CRC patients via a novel, multidimensional biomarker platform. Methods: Using nanofluidic technology for qPCR analysis and quantitative fluorescent immunohistochemistry for protein analysis, we assessed 33 microRNAs, 124 mRNAs and 9 protein antigens. Analysis was conducted in each single dimension (microRNA, gene or protein) using both the multivariate Cox model and Kaplan-Meier method. Thereafter, we simplified the censored survival data into binary response data (aggressive vs. non aggressive cancer). Subsequently, we combined the data into multidimensional scores using inverse sliced regression for sufficient dimension reduction. Accuracy was assessed using the Area under the Curve (AUC) and the receiver operating characteristic (ROC) method. Results: Single dimension analysis led to the discovery of individual factors that were significant predictors of outcome. These included seven specific microRNAs, four genes, and one protein. When these factors were quantified individually as predictors of aggressive disease, the highest demonstrable area under the curve (AUC) was 0.68. By contrast, when all results from single dimensions were combined into multidimensional biomarkers, AUCs were dramatically increased with values approaching and even exceeding 0.9. Conclusions: Single dimension analysis generates statistically significant predictors, but their predictive strengths are suboptimal for clinical utility. A novel, multidimensional approach overcomes these deficiencies. Newly derived multidimensional biomarkers have the potential to meaningfully guide the selection of therapeutic agents for individual patients while elucidating molecular mechanisms driving disease progression. Citation Format: Marisa Mariani, Shiquan He, Mark McHugh, Mirko Andreoli, Deep Pandya, Steven Sieber, Zheyang Wu, Paul Fiedler, Shohreh Shahabi, Cristiano Ferlini. A multidimensional analysis of predictive biomarkers in colorectal cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 916. doi:10.1158/1538-7445.AM2014-916

Integrated multidimensional analysis is required for accurate prognostic biomarkers in colorectal cancer.

CRC cancer is one of the deadliest diseases in Western countries. In order to develop prognostic biomarkers for CRC (colorectal cancer) aggressiveness, we analyzed retrospectively 267 CRC patients via a novel, multidimensional biomarker platform. Using nanofluidic technology for qPCR analysis and quantitative fluorescent immunohistochemistry for protein analysis, we assessed 33 microRNAs, 124 mRNAs and 9 protein antigens. Analysis was conducted in each single dimension (microRNA, gene or protein) using both the multivariate Cox model and Kaplan-Meier method. Thereafter, we simplified the censored survival data into binary response data (aggressive vs. non aggressive cancer). Subsequently, we integrated the data into a diagnostic score using sliced inverse regression for sufficient dimension reduction. Accuracy was assessed using area under the receiver operating characteristic curve (AUC). Single dimension analysis led to the discovery of individual factors that were significant predictors of outcome. These included seven specific microRNAs, four genes, and one protein. When these factors were quantified individually as predictors of aggressive disease, the highest demonstrable area under the curve (AUC) was 0.68. By contrast, when all results from single dimensions were combined into integrated biomarkers, AUCs were dramatically increased with values approaching and even exceeding 0.9. Single dimension analysis generates statistically significant predictors, but their predictive strengths are suboptimal for clinical utility. A novel, multidimensional integrated approach overcomes these deficiencies. Newly derived integrated biomarkers have the potential to meaningfully guide the selection of therapeutic strategies for individual patients while elucidating molecular mechanisms driving disease progression.

Study of testosterone as a predictor of tumor aggressiveness in patients with prostate cancer

A growing body of evidence suggests that low testosterone can be an independent predictor of adverse clinicopathological features and worse prognosis in prostate cancer (PCa) patients. However, this association is still incompletely understood and the results are divisive. The aim of this study was to analyze testosterone as a predictor of aggressive disease in subjects with clinically localized PCa. A cohort was conducted including the patients submitted to radical prostatectomy in our institution during a period of four years. The patients had clinically localized disease and their total testosterone (TT) was routinely measured preoperatively in the morning before surgery. They were stratified in groups with low (< 300 ng/dL) and normal TT (≥ 300 ng/dL). Tumor aggressiveness was inferred based on preoperative PSA levels, pathological Gleason score (lower, equal or greater than 7), TNM stage and surgical margins status. After analyzing 164 patients we found a significant association between mean preoperative TT and extraprostatic disease (379 for pT3 vs. 421 ng/for pT2 - p < 0.001, AUC > 0.99). Conversely, men with high Gleason score had similar mean TT compared to those with lower scores. Preoperative low TT (defined as TT < 300 ng/dL) could not be statistically correlated with either preoperative PSA levels, pathological Gleason score, extraprostatic extension, positive surgical margins or seminal vesicles involvement. This study indicates that testosterone may be a useful predictive tool once pathological extraprostatic extension was somewhat signaled by lower TT levels preoperatively. However, it does not consolidate a clear association between aggressive tumor biology and hypogonadism.

SET oncoprotein overexpression in B-cell chronic lymphocytic leukemia and non-Hodgkin lymphoma: a predictor of aggressive disease and a new treatment target

AbstractB-cell chronic lymphocytic leukemia (CLL), an incurable leukemia, is characterized by defective apoptosis. We found that the SET oncoprotein, a potent inhibitor of the protein phosphatase 2A (PP2A) tumor suppressor, is overexpressed in primary CLL cells and B-cell non-Hodgkin lymphoma (NHL) cell line cells. In CLL, increased levels of SET correlated significantly with disease severity (shorter time to treatment and overall survival). We developed SET antagonist peptides that bound SET, increased cellular PP2A activity, decreased Mcl-1 expression, and displayed selective cytotoxicity for CLL and NHL cells in vitro. In addition, shRNA for SET was cytotoxic for NHL cells in vitro. The SET antagonist peptide COG449 inhibited growth of NHL tumor xenografts in mice. These data demonstrate that SET is a new treatment target in B-cell malignancies and that SET antagonists represent novel agents for treatment of CLL and NHL.

Diagnostic approach to pancreatic tumors with the specimens of endoscopic ultrasound‐guided fine needle aspiration

Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) has enabled clinicians to histologically diagnose pancreatic tumors. However, EUS-FNA specimens often result in tiny fragmented tissues, so auxiliary utilities are necessary. Using immunostaining of CK7, CDX2, neuroendocrine markers and KRAS mutation analysis, we examined 57 FNA cell block sections and 61 surgically-resected specimens (25 invasive ductal carcinomas, 25 endocrine tumors, and 11 acinar cell tumors). In the majority of the matched pairs, the diagnoses between EUS-FNA and surgical specimens were concordant using the following criteria: neuroendocrine markers negative, CK7 positive, and mutated KRAS gene for invasive ductal carcinomas; neuroendocrine markers diffusely positive, CK7 and CDX2 negative, and wild-type KRAS gene for well-differentiated endocrine tumors; and neuroendocrine markers no more than focal positive, CK7 and CDX2 with various staining patterns, and wild-type KRAS gene for acinar cell carcinomas. Expression of CK7 and/or CDX2 in addition to KRAS mutations were occasionally seen in endocrine carcinomas, but not in well-differentiated endocrine tumors, suggesting that ductal differentiation in an endocrine tumor may be a predictor of aggressive disease. The usefulness of these markers was confirmed using 13 additional pancreatic tumors, prospectively. Although minimal in selection, these markers are helpful in making diagnosis from EUS-FNA specimens of the major pancreatic tumors.

Global DNA Hypermethylation in Chronic Lymphocytic Leukemia Correlates with Progressive Disease.

Global DNA hypomethylation is observed in chronic lymphocytic leukemia, but methylation has not been correlated with clinical outcome. Although patient survival correlates with factors such as the mutational status of the immunoglobulin variable genes, karyotype abnormalities, Zap-70, and CD38 expression, none of these predictors have altered the way clinicians practice. We report interim results in the assessment of global DNA methylation as a predictor of aggressive disease in patients with chronic lymphocytic leukemia. Fourteen patients with chronic lymphocytic leukemia donated blood samples for DNA studies at the same time as blooddraws for their physician visits. All the treatments occurred within one year and the follow-ups were at least within 12 months except for one patient. We thus classified patients into two groups: those who required treatment within one year and those who did not. The cutoff in methylation level providing the smallest observed prediction error was 4.125%; it correctly predicted 5/6 patients not needing treatment within a year and 5/6 patients needing treatment. These observed classification rates were adjusted for the bias resulting from the optimal selection of the cutoff using bootstrap. The adjusted sensitivity and specificity were 74% and 80%, respectively. Asymptomatic patients with chronic lymphocytic leukemia tended to have lower levels of global DNA methylation (median 3.5%) compared to symptomatic patients (median 4.5%). In other words, high levels of global DNA methylation were associated with higher disease burden, corresponding with higher lymphocyte and white blood cell numbers. Five patients without immediate need for cytoreductive therapy were enrolled on a pilot treatment trial with low-dose cladribine, by subcutaneous injection. Three out of the five patients have had a clinical response, a secondary endpoint. Two of the patients have achieved a partial response, as defined by the NCI sponsored working group, with at least a three month follow-up after discontinuation of the drug. Of the two patients with stable or progressive disease on cladribine, their global DNA methylation levels were higher, correlating with more chemotherapy resistant disease.DNA methylation Levels in Patients with Chronic Lymphocytic LeukemiaAgeSex%5-MedCZap-70CD-38Rai StageFISHReq Treatment (mos)51M5.045positivepositive4Del13q140.7573F4.865positivenot assessed4not assessed12+52F4.665positivenegative2Del13q14257M4.62negativenegative4Del13q14266M4.59positivenot assessed4Del13q14 (5/05) and Del 17p and Del 13q14 (7/05)0.2567M4.14positivepositive4Trisomy 121047M4.055negativenegative0not assessed12+59M3.9negativenegative246XY072M3.54negativenot assessed0not assessed8+64M3.55positivenot assessed1Del13q1412+70F3.47not assessednegative4Trisomy 1212+68F3.47positivenegative2not assessed12+77M3.2not assessednot assessed0not assessed12+FISH= fluorescence in situ hybridization; Zap-70 assessed by immunochemistry [Display omitted]

Expression of Ki-67, tumor suppressor proteins, growth factor, and growth factor receptor in juvenile respiratory papillomatosis: Ki-67 and p53 as predictors of aggressive disease

The enhanced proliferation of epithelial cells is a typical feature of respiratory papilloma. The mechanism or mechanisms leading to abnormal epithelial proliferation remain unclear. Overexpression of growth factors and their receptors and inactivation of tumor-suppressor proteins are known to cause cell transformation and proliferation. The objectives of this study were to evaluate the expression of these factors in juvenile respiratory papillomas with correlation to cellular proliferation activity, and to determine whether such expression is associated with the clinical course of the disease. The expression of transforming growth factor-α, epidermal growth factor receptor, p53 protein, retinoblastoma proteins and Ki-67 was quantified by immunohistochemistry in paraffin-embedded biopsy specimens taken at the initial surgical excision from children in whom respiratory papillomatosis was diagnosed. Clinical information regarding the number of disease sites, tracheobronchial spread, malignant transformation, and frequency of recurrences was reviewed. Thirty-five specimens were suitable for immunohistochemical evaluation. Ki-67 expression was significantly higher in patients with multiple sites of disease and frequent recurrences. High p53 expression was significantly associated with malignant transformation. We concluded that Ki-67 and p53 expression may be predictive of the clinical course in children with respiratory papillomatosis. (Otolaryngol Head Neck Surg 2000;122:378-86.)

Expressions of Ki67, Tumor Suppressor Proteins, Growth Factors and Their Receptors in Juvenile Respiratory Papillomatosis: Ki67 and p53 as Predictors of Aggressive Disease

Expressions of Ki67, Tumor Suppressor Proteins, Growth Factors and Their Receptors in Juvenile Respiratory Papillomatosis: Ki67 and p53 as Predictors of Aggressive Disease

Expressions of Ki67, tumor suppressor proteins, growth factors and their receptors in juvenile respiratory papillomatosis: Ki67 and p53 as predictors of aggressive disease

Expressions of Ki67, tumor suppressor proteins, growth factors and their receptors in juvenile respiratory papillomatosis: Ki67 and p53 as predictors of aggressive disease

HLA DRB1* typing and cartilage oligomeric matrix protein (COMP) as predictors of joint destruction in recent-onset rheumatoid arthritis.

The carriage of a characteristic sequence of amino acids at position 67-72 in the third hypervariable region of the HLA DRB1 chain has been linked to susceptibility to rheumatoid arthritis (RA). Whether this epitope is also a predictor of more severe disease remains controversial. Cartilage oligomeric matrix protein (COMP) is a protein, the serum levels of which have been found to correlate with large joint destructive disease in previous work. In this paper, we compare DRB1* typing and serum COMP levels in a prospectively observed group of RA patients with or without early hip joint destruction. The COMP levels at study inclusion, median 11 months from onset of symptoms, were significantly higher in the patients with early hip joint destruction compared to the patients in the more benign group. There was no difference in the number of disease susceptibility-related epitopes between the groups. DRB1*04, in contrast, was found among 8/8 patients with hip destruction, but also in 5/8 more benign cases. We conclude that in this type of RA patient, COMP serum levels are more informative predictors of aggressive disease than HLA DRB1* typing.

Urokinase plasminogen activator as a predictor of aggressive disease in breast cancer.

Urokinase plasminogen activator (uPA) is a multifunctional protein involved in both extracellular proteolysis and signal transduction. uPA usually mediates its actions while attached to a membrane-bound receptor, termed uPAR. In this study, uPA and its receptor were measured at both protein and mRNA levels in breast cancer. At both levels, concentrations of uPA were significantly correlated with those for uPAR. uPA levels also correlated significantly with cathepsin B and cathepsin D but not with cathepsin L, MMP-8 or MMP-9 levels. Irrespective of the cut-off point used (e.g., median, tertile or quartile values), uPA was a significant prognostic marker for breast cancer.