Here we report an integrated analysis that leverages data from treatment of genetic mouse models of prostate cancer along with clinical data from patients to elucidate new mechanisms of castration resistance. We show that castration counteracts tumor progression in a Pten-loss driven mouse model of prostate cancer through the induction of apoptosis and proliferation block. Conversely, this response is bypassed upon deletion of either Trp53 or Lrf together with Pten, leading to the development of castration resistant prostate cancer (CRPC). Mechanistically, the integrated acquisition of data from mouse models and patients identifies the expression patterns of XAF1-XIAP/SRD5A1 as a predictive and actionable signature for CRPC. Importantly, we show that combined inhibition of XIAP, SRD5A1, and AR pathways overcomes castration resistance. Thus, our co-clinical approach facilitates stratification of patients and the development of tailored and innovative therapeutic treatments.
Background:Lactate dehydrogenase (LDH) represents a predictive factor in colorectal cancer patients treated with the angiogenesis inhibitor PTK/ZK. We explored the role of pre-treatment LDH serum levels in colorectal cancer patients receiving first-line bevacizumab.Methods:Metastatic colorectal cancer treated with first-line bevacizumab was eligible. A control group including all consecutive patients treated with chemotherapy alone was also considered. Pre-treatment LDH serum levels were collected for all cases.Results:Median progression-free survival (PFS) in the control group for patients with high and low LDH levels was 4.2 and 8 months, respectively (P=0.0003). Median overall survival (OS) was 19.6 and 34.9 months for patients with high and low LDH levels, respectively (P=0.0014). In the bevacizumab group, partial responses were seen in 14 (58%) high-LDH and 8 (14%) low-LDH patients (P=0.0243), respectively, median PFS was 7.3 and 8.5 months, respectively (P=0.2), and median OS was 22 and 26.6 months, respectively (P=0.7).Conclusion:High LDH levels correlated with worse prognosis. Bevacizumab seemed capable of improving clinical outcome in this specific group of patients who usually present with an adverse natural history. The improved response rate also suggests a role for LDH as a predictive marker.
Although new treatment modalities changed the global approach to hepatocellular carcinoma (HCC), this disease still represents a medical challenge. Currently, the therapeutic stronghold is sorafenib, a tyrosine kinase inhibitor (TKI) directed against the vascular endothelial growth factor (VEGF) family. Previous observations suggested that polymorphisms of VEGF and its receptor (VEGFR) genes may regulate angiogenesis and lymphangiogenesis and thus tumour growth control. The aim of our study was to evaluate the role of VEGF and VEGFR polymorphisms in determining the clinical outcome of HCC patients receiving sorafenib. From a multicentre experience 148 samples (tumour or blood samples) of HCC patients receiving sorafenib were tested for VEGF‐A, VEGF‐C and VEGFR‐1,2,3 single nucleotide polymorphisms (SNPs). Patients' progression‐free survival (PFS) and overall survival (OS) were analysed. At univariate analysis VEGF‐A alleles C of rs25648, T of rs833061, C of rs699947, C of rs2010963, VEGF‐C alleles T of rs4604006, G of rs664393, VEGFR‐2 alleles C of rs2071559, C of rs2305948 were significant predictors of PFS and OS. At multivariate analysis rs2010963, rs4604006 and BCLC (Barcelona Clinic Liver Cancer) stage resulted to be independent factors influencing PFS and OS. Once prospectively validated, the analysis of VEGF and VEGFR SNPs may represent a clinical tool to better identify HCC patients more likely to benefit from sorafenib. On the other hand, the availability of more accurate predictive factors could help avoiding unnecessary toxicities to potentially resistant patients who may be optimal candidates for different treatments interfering with other tumour molecular pathways.
BackgroundIn many tumour types serumlactate dehydrogenase (LDH) levels proved to represent an indirect marker of tumour hypoxia, neo-angiogenesis and worse prognosis. As we previously reported LDH is an important predictive factor in hepatocellular carcinoma (HCC) patients undergoing transarterial chemoembolization (TACE). Sorafenib represents the therapeutic stronghold in advanced HCC patients. As a tyrosine kinase inhibitor (TKI) mainly directed against the angiogenetic pathway, the correlation of sorafenib administration with markers of hypoxia could be an important tool in patients management. Aim of our analysis was to evaluate the role of LDH pre-treatment levels and its variation during treatment in HCC patients receiving sorafenib.Methods78 patients were available for our analysis. For all patients LDH values were collected within one month before the start of treatment and after the end of therapy. For study purposes we divided our patients into two groups, according to LDH pre-treatment levels, cut-off levels was determined with ROC curve analysis. Patients were, also, classified according to the variation in LDH serum levels pre- and post-treatment (increased vs decreased).ResultsPatients proved homogeneous for all clinical characteristics analyzed. In patients with LDH values under the cut-off median progression free survival (PFS) was 6.7 months, whereas it was 1.9 months in patients above the cut-off (p = 0.0002). Accordingly median overall survival (OS) was 13.2 months and 4.9 months (p = 0.0006). In patients with decreased LDH values after treatment median PFS was 6.8 months, and median OS was 21.0 months, whereas PFS was 2.9 months and OS 8.6 months in patients with increased LDH levels (PFS: p = 0.0087; OS: p = 0.0035).ConclusionsIn our experience, LDH seemed able to predict clinical outcome in terms of PFS and OS for HCC patients treated with sorafenib. Given the correlation between LDH levels and tumour angiogenesis we can speculate that patients with high LDH pretreatment levels may be optimal candidates for other emerging therapeutic agents or strategies targeting different molecular pathways.
Introduction The microsatellite-instable gastric cancer subtype, because of its supposed high antigenic potential, is a promising candidate for immunotherapy. We analyzed if the presence of a defective mismatch repair (MMR) system is associated with other markers of immune response and their relationship with outcome in advanced gastric cancer patients. Methods We analyzed the relationship between clinical outcome and MMR status, the presence of tumor-infiltrating lymphocytes (TIL), lymphocytosis, and neutrophil-tolymphocyte ratio (NLR) in metastatic gastric cancer patients treated with a chemotherapy doublet in the firstline setting. Other stratification factors were sex, age, Eastern Cooperative Oncology Group performance status, adjuvant/neoadjuvant chemotherapy, metastatic sites, and histotype. Results One hundred three patients were eligible for analysis. Defective MMR was found in 15 patients (14 %), TILs were found in 18 patients (17 %), lymphocytosis was found in 24 patients (23 %), and high NLR was found in 75 patients (72 %). Significant correlations were found between defective MMR and TIL positivity (p = 0.0004), between defective MMR and lymphocytosis (p = 0.0062), between defective MMR and low NLR (p = 0.000069), and between TIL positivity and lymphocytosis (p = 0.000147). All factors had a statistically significant impact on overall survival, although on multivariate analysis only defective MMR (p = 0.0001) and TIL positivity (p = 0.0192) maintained their independent prognostic role. Similar results were observed for progression-free survival, with defective MMR (p = 0.0001) and TIL positivity (p = 0.0195) maintaining their prognostic role on multivariate analysis. Conclusions Our analysis confirms the favorable prognosis of metastatic gastric cancer patients with a defective MMR system and suggests that expression of TILs might also be linked to better outcome. Because of the correlation between defective MMR status and measures of immune system activity, this group of patients would be the best candidates for novel immunotherapy-based therapies.
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