90 research outputs found

    Potential Role of Sugar Transporters in Cancer and Their Relationship with Anticancer Therapy

    Get PDF
    Sugars, primarily glucose and fructose, are the main energy source of cells. Because of their hydrophilic nature, cells use a number of transporter proteins to introduce sugars through their plasma membrane. Cancer cells are well known to display an enhanced sugar uptake and consumption. In fact, sugar transporters are deregulated in cancer cells so they incorporate higher amounts of sugar than normal cells. In this paper, we compile the most significant data available about biochemical and biological properties of sugar transporters in normal tissues and we review the available information about sugar carrier expression in different types of cancer. Moreover, we describe the possible pharmacological interactions between drugs currently used in anticancer therapy and the expression or function of facilitative sugar transporters. Finally, we also go into the insights about the future design of drugs targeted against sugar utilization in cancer cells

    Tumor microenvironment gene expression profiles associated to complete pathological response and disease progression in resectable NSCLC patients treated with neoadjuvant chemoimmunotherapy

    Get PDF
    Gene expression profiling; Lung neoplasms; Tumor biomarkersPerfil d'expressiĂł gĂšnica; NeoplĂ sies pulmonars; Biomarcadors tumoralsPerfil de expresiĂłn gĂ©nica; Neoplasias pulmonares; Biomarcadores tumoralesBackground Neoadjuvant chemoimmunotherapy for non-small cell lung cancer (NSCLC) has improved pathological responses and survival rates compared with chemotherapy alone, leading to Food and Drug Administration (FDA) approval of nivolumab plus chemotherapy for resectable stage IB-IIIA NSCLC (AJCC 7th edition) without ALK or EGFR alterations. Unfortunately, a considerable percentage of tumors do not completely respond to therapy, which has been associated with early disease progression. So far, it is impossible to predict these events due to lack of knowledge. In this study, we characterized the gene expression profile of tumor samples to identify new biomarkers and mechanisms behind tumor responses to neoadjuvant chemoimmunotherapy and disease recurrence after surgery. Methods Tumor bulk RNA sequencing was performed in 16 pretreatment and 36 post-treatment tissue samples from 41 patients with resectable stage IIIA NSCLC treated with neoadjuvant chemoimmunotherapy from NADIM trial. A panel targeting 395 genes related to immunological processes was used. Tumors were classified as complete pathological response (CPR) and non-CPR, based on the total absence of viable tumor cells in tumor bed and lymph nodes tested at surgery. Differential-expressed genes between groups and pathway enrichment analysis were assessed using DESeq2 and gene set enrichment analysis. CIBERSORTx was used to estimate the proportions of immune cell subtypes. Results CPR tumors had a stronger pre-established immune infiltrate at baseline than non-CPR, characterized by higher levels of IFNG, GZMB, NKG7, and M1 macrophages, all with a significant area under the receiver operating characteristic curve (ROC) >0.9 for CPR prediction. A greater effect of neoadjuvant therapy was also seen in CPR tumors with a reduction of tumor markers and IFNÎł signaling after treatment. Additionally, the higher expression of several genes, including AKT1, BST2, OAS3, or CD8B; or higher dendritic cells and neutrophils proportions in post-treatment non-CPR samples, were associated with relapse after surgery. Also, high pretreatment PD-L1 and tumor mutational burden levels influenced the post-treatment immune landscape with the downregulation of proliferation markers and type I interferon signaling molecules in surgery samples. Conclusions Our results reinforce the differences between CPR and non-CPR responses, describing possible response and relapse immune mechanisms, opening the possibility of therapy personalization of immunotherapy-based regimens in the neoadjuvant setting of NSCLC.Work in the authors’ laboratories was supported by '‘Instituto de Salud Carlos III’' (ISCIII) PI19/01652 grant cofunded by European Regional Development Fund (ERDF), Bristol-Myers Squibb (BMS), Ministry of Science and Innovation RTC2017-6502-1 'INmunoSIGHT', RTC2019-007359-1 'BLI-O' and European Union’s Horizon 2020 research and innovation programme, CLARIFY 875160 grant, to MP. ThermoFisher provided reagents for RNA sequencing. AC-B received a Spanish Lung Cancer Group (SLCG) grant and is supported by a ISCIII-“Sara Borrell” contract CD19/00170. MCa is supported by PEJD-2019-PRE/BMD-17006 contract granted to AC-B

    Prostate carcinoma and stem cells

    Get PDF
    [Abstract] Stem cells, as classically defined, are cells with a capacity to self-renew and to generate daughter cells that can differentiate down several cell lineages to form all of the cell types that are found in the mature tissue. Stem cells and tumour cells have many similar features, including infinite lifespan, self-renewal, multidrug resistance, telomerase expression and, in the instance of the prostate, androgen independence. Evidence supports a role for stem cells in the etiology of many types of cancer. The evolution of androgen-independent prostate carcinoma may reflect the emergence of stemlike prostate tumour cells. Because cancer may be a disease of stem cell lineages and Shh-Gli signalling controls the behaviour of precursors and of cells with stem cell properties in the mammalian tissues, prostate cancer might derive from inappropriate expansion of prostatic epithelial stem cell lineages caused by abnormal Shh-Gli function. This review attempts to integrate these recent results

    Origin of renal cell carcinomas

    Get PDF
    [Abstract] Cancer is a heritable disorder of somatic cells: environment and heredity are both important in the carcinogenic process. The primal force is the “two hits” of Knudson’s hypothesis, which has proved true for many tumours, including renal cell carcinoma. Knudson et al. [1, 2] recognised that familial forms of cancer might hold the key to the identification of important regulatory elements known as tumour-suppressor genes. Their observations (i.e., that retinoblastoma tend to be multifocal in familial cases and unifocal in sporadic presentation) led them to propose a two-hit theory of carcinogenesis. Furthermore, Knudson postulated that patients with the familial form of the cancer would be born with one mutant allele and that all cells in that organ or tissue would be at risk, accounting for early onset and the multifocal nature of the disease. In contrast, sporadic tumours would develop only if a mutation occurred in both alleles within the same cell, and, as each event would be expected to occur with low frequency, most tumours would develop late in life and in a unifocal manner [3, 4]. The kidney is affected in a variety of inherited cancer syndromes. For most of them, both the oncogene/tumour-suppressor gene involved and the respective germline mutations have been identified. Each of the inherited syndromes predisposes to distinct types of renal carcinoma. Families with hereditary predisposition to cancer continue to provide a unique opportunity for the identification and characterisation of genes involved in carcinogenesis. A surprising number of genetic syndromes predispose to the development of renal cell carcinoma, and genes associated with five of these syndromes have been already identified: VHL, MET, FH, BHD and HRPT2. Few cancers have as many different types of genetic predisposition as renal cancer, although to date only a small proportion of renal cell cancers can be explained by genetic predisposition

    Cyclooxygenase-2 (COX-2): a molecular target in prostate cancer

    Get PDF
    [Abstract] Epidemiological studies provided the first evidence that COX may be involved in the pathogenesis of cancer. In the process of carcinogenesis and in the route of intracellular signalling during carcinogenesis, COX-2 expression may be a universal phenomenon. In general, COX-2 is up-regulated throughout the tumorigenic process, from early hyperplasia to metastatic disease. COX-2 has been reported to be constitutively overexpressed in a variety of malignancies and is frequently constitutively elevated in prostate carcinoma. COX-2 was consistently overexpressed in premalignant lesions such as prostatic intraepithelial neoplasia, and carcinoma. Cases are described with evolution of proliferative inflammatory atrophy of the prostate and prostate carcinoma. The increase of evidence implicating COX-2 in cancer has stimulated clinical trials to investigate the efficacy of selective COX-2 inhibitors in individuals at risk for human cancer. Regarding prostate carcinoma there is much direct or indirect evidence to support the use of COX-2 inhibitors in this disease. Trials using these drugs in familial adenomatous polyposis (FAP) and other patients with a high risk of colorectal carcinoma are ongoing

    New insights into molecular mechanisms of sunitinib-associated side effects

    Get PDF
    Review[Abstract] The introduction of targeted therapy represents a major advance in the treatment of tumor progression. Targeted agents are a novel therapeutic approach developed to disrupt different cellular signaling pathways. The tyrosine kinase inhibitor sunitinib specifically blocks multiple tyrosine kinase receptors that are involved in the progression of many tumors. Sunitinib is the current standard of care in first-line treatment of advanced renal cell carcinoma, and it is approved in imatinib-intolerant and imatinib-refractory gastrointestinal stromal tumors. However, it is increasingly evident that sunitinib may display collateral effects on other proteins beyond its main target receptors, eliciting undesirable and unexpected adverse events. A better understanding of the molecular mechanisms underlying these undesirable sunitinib-associated side effects will help physicians to maximize efficacy of sunitinib and minimize adverse events. Here, we focus on new insights into molecular mechanisms that may mediate sunitinib-associated adverse events

    SEOM clinical guidelines for the treatment of non‑small cell lung cancer (2018)

    Get PDF
    Non-small cell lung cancer (NSCLC) accounts for up to 85% of all lung cancers. The last few years have seen the development of a new staging system, diagnostic procedures such as liquid biopsy, treatments like immunotherapy, as well as deeper molecular knowledge; so, more options can be offered to patients with driver mutations. Groups with specific treatments account for around 25% and demonstrate significant increases in overall survival, and in some subgroups, it is important to evaluate each treatment alternative in accordance with scientific evidence, and even more so with immunotherapy. New treatments similarly mean that we must reconsider what should be done in oligometastatic disease where local treatment attains greater valu

    Pretreatment Tissue TCR Repertoire Evenness Is Associated with Complete Pathologic Response in Patients with NSCLC Receiving Neoadjuvant Chemoimmunotherapy

    Get PDF
    Neoadjuvant Chemoimmunotherapy; Lung cancer; T-cell receptorQuimioimmunoterĂ pia neoadjuvant; CĂ ncer de pulmĂł; Receptor de cĂšl·lules TQuimioinmunoterapia neoadyuvante; CĂĄncer de pulmĂłn; Receptor de cĂ©lulas TPurpose: Characterization of the T-cell receptor (TCR) repertoire may be a promising source for predictive biomarkers of pathologic response to immunotherapy in locally advanced non–small cell lung cancer (NSCLC). Experimental Design: In this study, next-generation TCR sequencing was performed in peripheral blood and tissue samples of 40 patients with NSCLC, before and after neoadjuvant chemoimmunotherapy (NADIM clinical trial, NCT03081689), considering their complete pathologic response (CPR) or non-CPR. Beyond TCR metrics, tissue clones were ranked by their frequency and spatiotemporal evolution of top 1% clones was determined. Results: We have found a positive association between an uneven TCR repertoire in tissue samples at diagnosis and CPR at surgery. Moreover, TCR most frequently ranked clones (top 1%) present in diagnostic biopsies occupied greater frequency in the total clonal space of CPR patients, achieving an AUC ROC to identify CPR patients of 0.967 (95% confidence interval, 0.897–1.000; P = 0.001), and improving the results of PD-L1 tumor proportion score (TPS; AUC = 0.767; P = 0.026) or tumor mutational burden (TMB; AUC = 0.550; P = 0.687). Furthermore, tumors with high pretreatment top 1% clonal space showed similar immune cell populations but a higher immune reactive gene expression profile. Finally, the selective expansion of pretreatment tissue top 1% clones in peripheral blood of CPR patients suggests also a peripheral immunosurveillance, which could explain the high survival rate of these patients. Conclusions: We have identified two parameters derived from TCR repertoire analysis that could outperform PD-L1 TPS and TMB as predictive biomarkers of CPR after neoadjuvant chemoimmunotherapy, and unraveled possible mechanisms of CPR involving enhanced tumor immunogenicity and peripheral immunosurveillance

    Overall Survival and Biomarker Analysis of Neoadjuvant Nivolumab Plus Chemotherapy in Operable Stage IIIA Non–Small-Cell Lung Cancer (NADIM phase II trial)

    Get PDF
    PURPOSE Neoadjuvant chemotherapy plus nivolumab has been shown to be effective in resectable non–small cell lung cancer (NSCLC) in the NADIM trial (ClinicalTrials.gov identifier: NCT03081689). The 3-year overall survival (OS) and circulating tumor DNA (ctDNA) analysis have not been reported. METHODS This was an open-label, multicenter, single-arm, phase II trial in which patients with stage IIIA NSCLC, who were deemed to be surgically resectable, were treated with neoadjuvant paclitaxel (200 mg/m2 once a day) and carboplatin (area under curve 6) plus nivolumab (360 mg) once on day 1 of each 21-day cycle, for three cycles, followed by adjuvant nivolumab monotherapy for 1 year (240 mg once every 2 weeks for 4 months, followed by 480 mg once every 4 weeks for 8 months). The 3-year OS and ctDNA analysis were secondary objectives of the trial. RESULTS OS at 36 months was 81.9% (95% CI, 66.8 to 90.6) in the intention-to-treat population, rising to 91.0% (95% CI, 74.2 to 97.0) in the per-protocol population. Neither tumor mutation burden nor programmed cell death ligand-1 staining was predictive of survival. Conversely, low pretreatment levels of ctDNA were significantly associated with improved progression-free survival and OS (hazard ratio [HR], 0.20; 95% CI, 0.06 to 0.63, and HR, 0.07; 95% CI, 0.01 to 0.39, respectively). Clinical responses according to RECIST v1.1 criteria did not predict survival outcomes. However, undetectable ctDNA levels after neoadjuvant treatment were significantly associated with progression-free survival and OS (HR, 0.26; 95% CI, 0.07 to 0.93, and HR, 0.04; 95% CI, 0.00 to 0.55, respectively). The C-index to predict OS for ctDNA levels after neoadjuvant treatment (0.82) was superior to that of RECIST criteria (0.72). CONCLUSION The efficacy of neoadjuvant chemotherapy plus nivolumab in resectable NSCLC is supported by 3- year OS. ctDNA levels were significantly associated with OS and outperformed radiologic assessments in the prediction of survival

    Blood biomarkers associated to complete pathologicalresponse on NSCLC patients treated with neoadjuvantchemoimmunotherapy included in NADIM clinical trial

    Get PDF
    Background:Immunotherapy is being tested in early-stage non-small cell lungcancer (NSCLC), and achieving higher rates of complete pathological responses(CPR) as compared to standard of care. Early identification of CPR patients hasvital clinical implications. In this study, we focused on basal peripheral immunecells and their treatment-related changes to find biomarkers associated toCPR.Methods:Blood from 29 stage IIIA NSCLC patients participating in the NADIMtrial (NCT03081689) was collected at diagnosis and post neoadjuvant treatment.More than 400 parameters of peripheral blood mononuclear cells (PBMCs) phe-notype and plasma soluble factors were analyzed.Results:Neoadjuvant chemoimmunotherapy altered more than 150 immuneparameters. At diagnosis, 11 biomarkers associated to CPR were described, withan area under the ROC curve>0.70 andp-value<.05. CPR patients had sig-nificantly higher levels of CD4+PD-1+cells, NKG2D, and CD56 expression onT CD56 cells, intensity of CD25 expression on CD4+CD25hi+cells and CD69expression on intermediate monocytes; but lower levels of CD3+CD56–CTLA-4+cells, CD14++CD16+CTLA-4+cells, CTLA-4 expression on T CD56 cells andlower levels of b-NGF, NT-3, and VEGF-D in plasma compared to non-CPR. Posttreatment, CPR patients had significantly higher levels of CD19 expression on Bcells, BCMA, 4-1BB, MCSF, and PARC and lower levels of MPIF-1 and Flt-3L inplasma compared to non-CPR.Conclusions:Patients achieving CPR seem to have a distinctive peripheralblood immune status at diagnosis, even showing different immune response totreatment.TheseresultsreinforcethedifferentbiologybehindCPRandnon-CPRresponses
    • 

    corecore