To broaden access to and implementation of precision medicine in the care of patients with pancreatic cancer, the Know Your Tumor (KYT) program was initiated using a turn-key precision medicine system. Patients undergo commercially available multiomic profiling to determine molecularly rationalized clinical trials and off-label therapies. Tumor samples were obtained for 640 patients from 287 academic and community practices covering 44 states. College of American Pathologists/Clinical Laboratory Improvement Amendments-accredited laboratories were used for genomic, proteomic, and phosphoprotein-based molecular profiling. Tumor samples were adequate for next-generation sequencing in 96% and IHC in 91% of patients. A tumor board reviewed the results for every patient and found actionable genomic alterations in 50% of patients (with 27% highly actionable) and actionable proteomic alterations (excluding chemopredictive markers) in 5%. Actionable alterations commonly found were in DNA repair genes ( or mutations, 8.4%) and cell-cycle genes ( or alterations, 8.1%). A subset of samples was assessed for actionable phosphoprotein markers. Among patients with highly actionable biomarkers, those who received matched therapy ( = 17) had a significantly longer median progression-free survival (PFS) than those who received unmatched therapy [ = 18; PFS = 4.1 vs. 1.9 months; HR, 0.47; 95% confidence interval (CI): 0.24-0.94; = 0.03]. A comprehensive precision medicine system can be implemented in community and academic settings, with highly actionable findings observed in over 25% of pancreatic cancers. Patients whose tumors have highly actionable alterations and receive matched therapy demonstrated significantly increased PFS. Our findings support further prospective evaluation of precision oncology in pancreatic cancer. .
The findings from the present study suggest that 24 weeks of sofosbuvir plus ribavirin is an efficacious and well tolerated treatment in patients with HCV genotype 4 infection.
The observed improved survival rates following the resection of hepatic metastasis from gastric adenocarcinoma in selected patients merit a prospective study to formally address the survival benefits and the influence on quality of life of such approach.
Purpose: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a 5-year survival rate <7% and is ultimately refractory to most treatments. To date, an assessment of immunologic factors relevant to disease has not been comprehensively performed for treatment-na€ ve patients. We hypothesized that systemic immunologic biomarkers could predict overall survival (OS) in treatment-na€ ve PDAC patients.Experimental Design: Peripheral blood was collected from 73 patients presenting with previously untreated metastatic PDAC. Extensive immunologic profiling was conducted to assess relationships between OS and the level of soluble plasma biomarkers or detailed immune cell phenotypes as measured by flow cytometry.Results: Higher baseline levels of the immunosuppressive cytokines IL6 and IL10 were strongly associated with poorer OS (P ¼ 0.008 and 0.026, respectively; HR ¼ 1.16 and 1.28, respectively), whereas higher levels of the monocyte chemoattractant MCP-1 were associated with significantly longer OS Conclusions: These data support the hypothesis that baseline immune status predicts PDAC disease course and overall patient survival. To our knowledge, this work represents the largest cohort and most comprehensive immune profiling of treatment-na€ ve metastatic PDAC patients to date.
Pelareorep causes oncolysis in tumor cells with activated Ras. We hypothesized that pelareorep would have efficacy and immunomodulatory activity in metastatic pancreatic adenocarcinoma (MPA) when combined with carboplatin and paclitaxel. A randomized phase 2 study (NCT01280058) was conducted in treatment-naive patients with MPA randomized to two treatment arms: paclitaxel/carboplatin + pelareorep (Arm A, n = 36 evaluable patients) versus paclitaxel/carboplatin (Arm B, n = 37 evaluable patients). There was no difference in progression-free survival (PFS) between the arms (Arm A PFS = 4.9 months, Arm B PFS = 5.2 months, P = 0.6), and Kirsten rat sarcoma viral oncogene (KRAS) status did not impact outcome. Quality-adjusted Time without Symptoms or Toxicity analysis revealed that the majority of PFS time was without toxicity or progression (4.3 months). Patient immunophenotype appeared important, as soluble immune biomarkers were associated with treatment outcome (fractalkine, interleukin (IL)-6, IL-8, regulated on activation, normal T cell expressed and secreted (RANTES), and vascular endothelial growth factor (VEGF)). Increased circulating T and natural killer (NK)-cell subsets were also significantly associated with treatment outcome. Addition of pelareorep was associated with higher levels of 14 proinflammatory plasma cytokines/chemokines and cells with an immunosuppressive phenotype (Tregs, cytotoxic T lymphocyte associated protein 4 (CTLA4)(+) T cells). Overall, pelareorep was safe but does not improve PFS when administered with carboplatin/paclitaxel, regardless of KRAS mutational status. Immunologic studies suggest that chemotherapy backbone improves immune reconstitution and that targeting remaining immunosuppressive mediators may improve oncolytic virotherapy.
Colorectal cancer (CRC) is the third most common cancer worldwide and accounts for 10% of all new cancer diagnoses. Angiogenesis is a tightly regulated process that is mediated by a group of angiogenic factors such as vascular endothelial growth factor and its receptors. Given the widespread use of antiangiogenic agents in CRC, there has been considerable interest in the development of methods to identify novel markers that can predict outcome in the treatment of this disease with angiogenesis inhibitors. Multiple biomarkers are in various phases of development and include tissue, serum, and imaging biomarkers. The complexity of the angiogenesis pathway and the overlap between the various angiogenic factors present a significant challenge to biomarker discovery. In our review, we discuss the angiogenesis pathway and the most promising evolving concepts in biomarker discovery, as well as highlight the landmark studies that identify subgroups of patients with CRC who may preferentially benefit from angiogenesis inhibitors.
Background The objectives of this national study were to examine the short-term safety and long-term survival benefit associated with surgical resection of hepatic metastases from gastric cancer. Methods Patients from the Hospital Episode Statistics database were classified by disease and treatment approach. Gastric cancer: 1. Without liver metastases treated by gastrectomy (GG). 2. With liver metastases treated by gastrectomy and hepatectomy (GGH). 3. With liver metastases treated by gastrectomy without hepatectomy (GGNH). 4. With liver metastases treated with no surgery (GNS). Propensity score matching and multivariable analyses were used to compensate for differences in some baseline characteristics. Results During the study period, 87,482 were patients diagnosed with gastric cancer, of whom 13,841 underwent partial or total gastrectomy. Of those who underwent gastrectomy, 336 had a diagnosis of liver metastases and 78 of these had a hepatectomy. Propensity-matched analysis showed no significant differences in 30-or 90-day mortality between the GGH and GG groups. The GGH group had significantly improved 1-year mortality (35.9 % vs. 50.0 %, p = 0.049) and 5-year mortality (61.5 % vs. 75.7 %, p = 0.031) compared to the GGNH group, and compared to the GNS group, the GCH group had 1-year mortality (35.9 % vs. 84.6 %, p \ 0.001) and 5-year mortality (61.5 % vs. 90.8 %, p \ 0.001). Conclusions This study showed that hepatectomy for synchronous gastric cancer hepatic metastases may carry survival benefits in selected patients. The data presented should not be a rationale to change current clinical practice but rather a stimulus to prospectively study the role of surgery in a selected group of patients who are currently treated with palliative chemotherapy.
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