Chemotherapy induces expression and release of heparanase leading to changes associated with an aggressive tumor phenotype.

High heparanase expression is associated with enhanced tumor growth, angiogenesis, and metastasis in many types of cancer. However, the mechanisms driving high heparanase expression are not fully understood. In the present study, we discovered that drugs used in the treatment of myeloma upregulate heparanase expression. Frontline anti-myeloma drugs, bortezomib and carfilzomib activate the nuclear factor-kappa B (NF-κB) pathway to trigger heparanase expression in tumor cells. Blocking the NF-κB pathway diminished this chemotherapy-induced upregulation of heparanase expression. Activated NF-κB signaling was also found to drive high heparanase expression in drug resistant myeloma cell lines. In addition to enhancing heparanase expression, chemotherapy also caused release of heparanase by tumor cells into the conditioned medium. This soluble heparanase was taken up by macrophages and triggered an increase in TNF-α production. Heparanase is also taken up by tumor cells where it induced expression of HGF, VEGF and MMP-9 and activated ERK and Akt signaling pathways. These changes induced by heparanase are known to be associated with the promotion of an aggressive tumor phenotype. Importantly, the heparanase inhibitor Roneparstat diminished the uptake and the downstream effects of soluble heparanase. Together, these discoveries reveal a novel mechanism whereby chemotherapy upregulates heparanase, a known promoter of myeloma growth, and suggest that therapeutic targeting of heparanase during anti-cancer therapy may improve patient outcome.
Copyright © 2015. Published by Elsevier B.V.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!


Patient-reported pain and other quality of life domains as prognostic factors for survival in a phase III clinical trial of patients with advanced breast cancer.

Patient-reported outcomes have been associated with survival in numerous studies across cancer types, including breast cancer. However, the Brief Pain Inventory-Short Form (BPI-SF) and the Rotterdam Symptom Checklist (RSCL) have rarely been investigated in this regard in breast cancer.
Here we describe a post hoc analysis of the prognostic effect of baseline scores of these instruments on survival in a phase III trial of patients with advanced breast cancer who received gemcitabine plus paclitaxel or paclitaxel alone after anthracycline-based adjuvant or neoadjuvant therapy. The variables for this analysis were baseline BPI-SF "worst pain" and BPI-SF "pain interference" scores, and four RSCL subscales (each transformed to 0-100). Univariate and multivariate Cox models were used, the latter in the presence of 11 demographic/clinical variables. Kaplan-Meier curves and log-rank tests were used to compare survival for patients by BPI-SF or RSCL scores.
Of 529 randomized patients, 286 provided BPI-SF data and 336 provided RSCL data at baseline. Univariate analyses identified BPI-SF worst pain and pain interference (both hazard ratios [HR], 1.07 for a 1-point increase; both p ≤ 0.0061) and three of four RSCL subscales [activity level, physical distress, and health-related quality of life (HRQOL) (HR, 0.86-0.91 for 10-point increase all p ≤ 0.0104)], to have significant prognostic effect for survival. BPI-SF worst pain (p = 0.0342) and RSCL activity level (p = 0.0004) were prognostic in the multivariate analysis. Median survival for patients categorized by BPI-SF worst pain score was 23.8 (n = 91), 17.9 (n = 94) and 14.6 (n = 94) months for scores 0, 1-4, and 5-10, respectively (log-rank p = 0.0065). Median survival was 23.8 and 14.6 months for patients (n = 330) with above- and below-median RSCL activity level scores respectively (log-rank p < 0.0001).
Pretreatment BPI-SF worst pain and RSCL activity scores provide distinct prognostic information for survival in patients receiving paclitaxel or gemcitabine plus paclitaxel for advanced breast cancer even after controlling for multiple demographic and clinical factors.
Clinicaltrials.gov, NCT00006459 .

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!


[Perceptual gap between oncologists/oncology nurses and patients in the management and impact of chemotherapy/radiotherapy-induced nausea and vomiting: French results of the GAP survey].

Despite progress in the treatment of chemotherapy/radiotherapy-induced nausea and vomiting (CINV/RINV), their management remains insufficient.
In order to evaluate the incidence and impact of CINV/RINV on the quality of life perceived by patients and estimated by clinicians, a declarative, cross-sectional survey was conducted in France through an online questionnaire.
This survey included 187 participants: 75 oncologists, 35 oncology nurses and 77 patients. Clinicians over-estimated the incidence of CINV/RINV, but underestimated their impact on the quality of life of patients. The sub-optimal prescription of anti-emetic treatments was more prominent when the therapy administered had low or medium emetogenic potential. Only 30% of patients rated their nausea and vomiting as controlled from the start. A major proportion of patients (68%) declared poor compliance with their anti-emetic regimen. The acceptance of CINV/RINV as normal side effects of the chemotherapy/radiotherapy (51%) led the patients not to report them, thus limiting their active management. The number of drugs to absorb, and the fear that the action of swallowing the pill would induce nausea or vomiting were also quoted by the patients as compliance-limiting factors.
The perceptual gap between clinicians and patients regarding the incidence and impact of CINV/RINV contributes to a sub-optimal level of anti-emetic cover and control. The anti-emetic regimen needs to be regularly assessed and adapted to the patient in order to improve CINV/RINV management.
Copyright © 2016 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!


Use of comprehensive genomic profiling to direct point-of-care management of patients with gynecologic cancers.

To determine the feasibility and clinical utility of using comprehensive genomic profiling (CGP) in the course of clinical care to identify clinically relevant tumor genomic alterations for patients with either rare or refractory gynecologic cancers to facilitate point-of-care management. Use of an expert, multidisciplinary, institutional molecular tumor board (MTB) assessment is discussed regarding input on putative targeted options for individualized therapy.
A prospective clinical trial is ongoing. We report on the initial 69 patients with gynecologic cancers that were either rare or refractory to standard therapy. CGP was performed by Foundation Medicine, Inc. Genomic alterations were reviewed by members of an MTB. Consensus recommendations on genomically targeted, FDA-approved, on- and off-label therapies and clinical trials were sent to the treating physician, and decisions and outcomes were assessed.
Study outcomes were available for 64 patients. The mean number of genes altered per tumor was 4.97 (median=4; range, 1-26), and the average turnaround time from testing laboratory report to generation of formal recommendations was approximately three weeks. Evaluation of genomic and clinical data by the MTB led to generation of targeted treatment options in all 64 patients, and the percentage of patients for whom one or more of these recommendations were implemented by the treating physician was 39%. Sixty-four percent of the patients receiving targeted therapy based on a CGP result experienced radiologic response or showed evidence of clinical benefit or stable disease.
These data suggest that an institutional MTB is a feasible venue for reviewing tumor genomic profiling results and generating clinical recommendations. These data also support the need for further studies and guidelines on clinical decision making with greater availability of broad genomically based diagnostics.
Copyright © 2016 Elsevier Inc. All rights reserved.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!


Non-invasive and label-free detection of oral squamous cell carcinoma using saliva surface-enhanced Raman spectroscopy and multivariate analysis.

Reported here is the application of silver nanoparticle-based surface-enhanced Raman spectroscopy (SERS) as a label-free, non-invasive technique for detection of oral squamous cell cancer (OSCC) using saliva and desquamated oral cells. A total of 180 SERS spectra were acquired from saliva and 120 SERS spectra from oral cells collected from normal healthy individuals and from confirmed oropharyngeal cancer patients. Notable biochemical peaks in the SERS spectra were tentatively assigned to various components. Data were subjected to multivariate statistical techniques including principal component analysis and linear discriminate analysis (PCA-LDA) revealing a sensitivity of 89% and 68% and a diagnostic accuracy of 73% and 60% for saliva and oral cells, respectively. The results from this study demonstrate the potential of saliva and oral cell SERS combined with PCA-LDA diagnostic algorithms as a promising clinical adjunct for the non-invasive detection of oral cancer.
Copyright © 2015. Published by Elsevier Inc.

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!