Carmen Griñán-Lisón

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INTRODUCTION Pancreatic cancer (PC) is one of the most lethal cancers, with a median overall survival of less than 1 year and a 5-year survival of ~5%. The poor survival rate is likely due to lack of early diagnosis, fast disease course, high metastasis rate and disappointing treatment outcome. Therefore, at this stage, any new method that provides a(More)
Cancer stem cells are responsible for tumor progression, metastasis, therapy resistance and cancer recurrence, doing their identification and isolation of special relevance. Here we show that low adherent breast and colon cancer cells subpopulations have stem-like properties. Our results demonstrate that trypsin-sensitive (TS) breast and colon cancer cells(More)
INTRODUCTION 5-Fluorouracil (5-FU)-based chemotherapy is the most widely prescribed treatment for gastrointestinal solid tumors, but there are several drawbacks such as toxicities, lack of selectivity and effectiveness as well as the development of resistance that need to be overcome. AREAS COVERED In this review, the authors present the latest(More)
INTRODUCTION Cancer is considered the second leading cause of death worldwide despite the progress made in early detection and advances in classical therapies. Advancing in the fight against cancer requires the development of novel strategies, and the suicide gene transfer to tumor cells is providing new possibilities for cancer therapy. AREAS COVERED In(More)
INTRODUCTION Pancreatic cancer (PC) is the fourth leading cause of cancer-related death in the US with a 5-year survival rate of about 5%. Most patients have advanced metastatic disease mainly due to the lack of an effective early detection, and an extremely poor prognosis. Advancing in the fight against PC requires developing novel observable biomarkers at(More)
Oncogenic microRNAs (miRs) have emerged as diagnostic biomarkers and novel molecular targets for anti-cancer drug therapies. Real-time quantitative PCR (qPCR) is one of the most powerful techniques for analyzing miRs; however, the use of unsuitable normalizers might bias the results. Tumour heterogeneity makes even more difficult the selection of an(More)
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