Bevacizumab in the therapy for refractory metastatic colorectal cancer

Colorectal cancer is the second most common cause of cancer related deaths in the United States. Recent developments have led to prolonged survival with the use of sequential lines of chemotherapy agents. The addition of bevacizumab to active chemotherapy has further improved survival when used in the first and second lines of therapy for metastatic colorectal cancer. Evidence supporting the continued use of bevacizumab throughout lines of therapy is accumulating. Clinical trials are underway in which bevacizumab is continued beyond the first line of a chemotherapy and bevacizumab combination regimen. The mechanism by which colorectal cancer may become resistant to bevacizumab is poorly understood. Molecular and biochemical correlates which may identify bevacizumab resistance are an important component in the design of these clinical trials

25-Hydroxyvitamin D Levels and Survival in Advanced Pancreatic Cancer: Findings From CALGB 80303 (Alliance)

Data from animal and cell-line models suggest that vitamin D metabolism plays an important role in pancreatic tumor behavior. Although vitamin D deficiency has been implicated in numerous cancers, the vitamin D status of patients with advanced pancreatic cancer and the effect of baseline vitamin D levels on survival are unknown

Paclitaxel With or Without Cixutumumab as Second-Line Treatment of Metastatic Esophageal or Gastroesophageal Junction Cancer: A Randomized Phase II ECOG-ACRIN Trial

BACKGROUND: Patients with advanced esophageal cancer carry poor prognoses; limited data exist to guide second-line therapy in the metastatic setting. Paclitaxel has been used yet is associated with limited efficacy. There is preclinical evidence of synergy between paclitaxel and cixutumumab, a monoclonal antibody targeting insulin-like growth factor-1 receptor. We conducted a randomized phase II trial of paclitaxel (arm A) versus paclitaxel plus cixutumumab (arm B) in the second-line for patients with metastatic esophageal or gastroesophageal junction (GEJ) cancers. METHODS: The primary endpoint was progression-free survival (PFS); 87 patients (43 in arm A, 44 in arm B) were treated. RESULTS: Median PFS was 2.6 months in arm A [90% CL 1.8-3.5] and 2.3 months in arm B [90% 2.0-3.5], P = .86. Stable disease was observed in 29 (33%) patients. Objective response rates for Arms A and B were 12% [90% CI, 5-23%] and 14% [90% CI, 6-25%]. Median overall survival was 6.7 months [90% CL 4.9-9.5] in arm A and 7.2 months [90% CL 4.9-8.1] in arm B, P = 56. CONCLUSION: The addition of cixutumumab to paclitaxel in second-line therapy of metastatic esophageal/GEJ cancer was well tolerated but did not improve clinical outcomes relative to standard of care (ClinicalTrials.gov Identifier: NCT01142388)

A Multi-Institutional Phase II Trial of Preoperative Full-Dose Gemcitabine and Concurrent Radiation for Patients With Potentially Resectable Pancreatic Carcinoma

We report the results of a multi-institutional phase II trial that used preoperative full-dose gemcitabine and radiotherapy for patients with potentially resectable pancreatic carcinoma.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/41411/1/10434_2006_Article_9435.pd

Gemcitabine Plus Bevacizumab Compared With Gemcitabine Plus Placebo in Patients With Advanced Pancreatic Cancer: Phase III Trial of the Cancer and Leukemia Group B (CALGB 80303)

The combination of gemcitabine plus bevacizumab produced a 21% response rate and a median survival of 8.8 months in a multicenter phase II trial in patients with metastatic pancreatic cancer. These encouraging data led Cancer and Leukemia Group B (CALGB) to conduct a double-blind, placebo-controlled, randomized phase III trial of gemcitabine/bevacizumab versus gemcitabine/placebo in advanced pancreatic cancer patients

Selinexor in Advanced, Metastatic Dedifferentiated Liposarcoma: A Multinational, Randomized, Double-Blind, Placebo-Controlled Trial

PURPOSE Antitumor activity in preclinical models and a phase I study of patients with dedifferentiated liposarcoma (DD-LPS) was observed with selinexor. We evaluated the clinical benefit of selinexor in patients with previously treated DD-LPS whose sarcoma progressed on approved agents. METHODS SEAL was a phase II-III, multicenter, randomized, double-blind, placebo-controlled study. Patients age 12 years or older with advanced DD-LPS who had received two-five lines of therapy were randomly assigned (2:1) to selinexor (60 mg) or placebo twice weekly in 6-week cycles (crossover permitted). The primary end point was progression-free survival (PFS). Patients who received at least one dose of study treatment were included for safety analysis (ClinicalTrials.gov identifier: ). RESULTS Two hundred eighty-five patients were enrolled (selinexor, n = 188; placebo, n = 97). PFS was significantly longer with selinexor versus placebo: hazard ratio (HR) 0.70 (95% CI, 0.52 to 0.95; one-sided P = .011; medians 2.8 v 2.1 months), as was time to next treatment: HR 0.50 (95% CI, 0.37 to 0.66; one-sided P < .0001; medians 5.8 v 3.2 months). With crossover, no difference was observed in overall survival. The most common treatment-emergent adverse events of any grade versus grade 3 or 4 with selinexor were nausea (151 [80.7%] v 11 [5.9]), decreased appetite (113 [60.4%] v 14 [7.5%]), and fatigue (96 [51.3%] v 12 [6.4%]). Four (2.1%) and three (3.1%) patients died in the selinexor and placebo arms, respectively. Exploratory RNA sequencing analysis identified that the absence of CALB1 expression was associated with longer PFS with selinexor compared with placebo (median 6.9 v 2.2 months; HR, 0.19; P = .001). CONCLUSION Patients with advanced, refractory DD-LPS showed improved PFS and time to next treatment with selinexor compared with placebo. Supportive care and dose reductions mitigated side effects of selinexor. Prospective validation of CALB1 expression as a predictive biomarker for selinexor in DD-LPS is warranted. (C) 2022 by American Society of Clinical Oncolog

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management. © 2021, The Author(s)