Gastric cancer (GC) is the third leading cause of cancer death in both sexes worldwide, with the highest estimated mortality rates in Eastern Asia and the lowest in Northern America. However, the availability of modern treatment has improved the survival and the prognosis is often poor due to biological characteristics of the disease. In oncology, we are living in the "Era" of target treatment and, to know biological aspects, prognostic factors and predictive response informations to therapy in GC is mandatory to apply the best strategy of treatment. The purpose of this review, according to the recently published English literature, is to summarize existing data on prognostic aspects and predictive factors to response to therapy in GC and to analyze also others therapeutic approaches (surgery and radiotherapy) in locally, locally advanced and advanced GC. Moreover, the multidisciplinary approach (chemotherapy, surgery and radiotherapy) can improve the prognosis of GC.
Multimodal approach of advanced gastric cancer: Based therapeutic algorithm
Canzonieri V.;
2016-01-01
Abstract
Gastric cancer (GC) is the third leading cause of cancer death in both sexes worldwide, with the highest estimated mortality rates in Eastern Asia and the lowest in Northern America. However, the availability of modern treatment has improved the survival and the prognosis is often poor due to biological characteristics of the disease. In oncology, we are living in the "Era" of target treatment and, to know biological aspects, prognostic factors and predictive response informations to therapy in GC is mandatory to apply the best strategy of treatment. The purpose of this review, according to the recently published English literature, is to summarize existing data on prognostic aspects and predictive factors to response to therapy in GC and to analyze also others therapeutic approaches (surgery and radiotherapy) in locally, locally advanced and advanced GC. Moreover, the multidisciplinary approach (chemotherapy, surgery and radiotherapy) can improve the prognosis of GC.File | Dimensione | Formato | |
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