Search results for "Predictive biomarkers"
showing 7 items of 7 documents
Into the wild of long non-coding RNA in gastrointestinal stromal tumors (GISTs) to explore new prognostic/predictive biomarkers
2015
Background: Long Non-coding RNAs (lncRNA) are emerging as essential regulators of genetic and epigenetic networks, and their deregulation may underlie complex diseases, such as carcinogenesis. Several studies have described lncRNAs alterations in patients with solid tumors. In particular, in Gastrointestinal Stromal Tumors (GIST), upregulation of HOTAIR has been associated with aggressiveness, metastasis, and poor patients’ survival. In order to gain more detailed insight on the molecular role of lncRNAs in GIST, we analyzed in vivo the expression levels of lncRNAs H19 and MALAT1 in surgically resected patients. Material and Methods: The expression of the lnc-RNAs H19 and MALAT1 was evaluat…
CUL4A, ERCC5, and ERCC1 as Predictive Factors for Trabectedin Efficacy in Advanced Soft Tissue Sarcomas (STS): A Spanish Group for Sarcoma Research (…
2020
A translational study was designed to analyze the expression of nucleotide excision repair (NER) and homologous recombination (HR) genes as potential predictive biomarkers for trabectedin in soft-tissue sarcoma (STS). This study is part of a randomized phase II trial comparing trabectedin plus doxorubicin versus doxorubicin in advanced STS. Gene expression levels were evaluated by qRT-PCR, while CUL4A protein levels were quantified by immunohistochemistry. Expression levels were correlated with patients&rsquo
Prognostic and predictive biomarkers for targeted therapy in NSCLC: For whom the bell tolls?
2015
Introduction: The discovery of molecular biomarkers and the advent of targeted therapies have led to a radical change in the treatment of several tumors, including NSCLC. In the last few years, the number of molecular biomarkers has rapidly increased, and a growing interest has been recently focused on their potential prognostic and predictive value in clinical settings. Areas covered: This review describes all the molecular biomarkers with prognostic and predictive value in NSCLC, including both clinically approved biomarkers, and emerging biomarkers under investigation in clinical trials. Liquid biopsy and applications of circulating biomarkers are also described. Expert opinion: The onco…
Involvement of non-coding RNAs in chemo- and radioresistance of colorectal cancer
2016
Despite recent progress in understanding the cancer signaling pathways and in developing new therapeutic strategies, however, the resistance of colorectal cancer (CRC) cells to chemo- and radiotherapy represents the main hurdle to the successful treatment, leading to tumor recurrence and, consequently, a poor prognosis. Therefore, overcoming drug and radiation resistance, enhancing drug and radiation sensitivity of CRC cells, and improving the effi cacy of chemo- and radiotherapy have an important signifi cance in the treatment of CRC. The identifi cation of new molecular biomarkers which can predict therapy response and prognosis is one of the most signifi cant aims in pharmacogenomics and…
Type and gene location of kit mutations predict progression-free survival to first-line imatinib in gastrointestinal stromal tumors: A look into the …
2021
In previous studies on localized GISTs, KIT exon 11 deletions and mutations involving codons 557/558 showed an adverse prognostic influence on recurrence-free survival. In the metastatic setting, there are limited data on how mutation type and codon location might contribute to progression-free survival (PFS) variability to first-line imatinib treatment. We analyzed the type and gene location of KIT and PDGFRA mutations for 206 patients from a GIST System database prospectively collected at an Italian reference center between January 2005 and September 2020. By describing the mutational landscape, we focused on clinicopathological characteristics according to the critical mutations and inve…
The EU-funded I3LUNG Project:Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy
2023
Although immunotherapy (IO) has changed the paradigm for the treatment of patients with advanced non-small cell lung cancers (aNSCLC), only around 30% to 50% of treated patients experience a long-term benefit from IO. Furthermore, the identification of the 30 to 50% of patients who respond remains a major challenge, as programmed Death-Ligand 1 (PD-L1) is currently the only biomarker used to predict the outcome of IO in NSCLC patients despite its limited efficacy. Considering the dynamic complexity of the immune system-tumor microenvironment (TME) and its interaction with the host's and patient's behavior, it is unlikely that a single biomarker will accurately predict a patient's outcomes. …
A “Lymphocyte MicroRNA Signature” as Predictive Biomarker of Immunotherapy Response and Plasma PD-1/PD-L1 Expression Levels in Patients with Metastat…
2020
Introduction of checkpoint inhibitors resulted in durable responses and improvements in overall survival in advanced RCC patients, but the treatment efficacy is widely variable, and a considerable number of patients are resistant to PD-1/PD-L1 inhibition. This variability of clinical response makes necessary the discovery of predictive biomarkers for patient selection. Previous findings showed that the epigenetic modifications, including an extensive microRNA-mediated regulation of tumor suppressor genes, are key features of RCC. Based on this biological background, we hypothesized that a miRNA expression profile directly identified in the peripheral lymphocytes of the patients before and a…