| Literature DB >> 31366110 |
Rosalino Vázquez-López1, Omar Rivero Rojas2, Andrea Ibarra Moreno2, José Erik Urrutia Favila2, Adan Peña Barreto2, Guadalupe Lizeth Ortega Ortuño2, Jorge Andrés Abello Vaamonde2, Ivanka Alejandra Aguilar Velazco2, José Marcos Félix Castro3, Sandra Georgina Solano-Gálvez4, Tomás Barrientos Fortes5, Juan Antonio González-Barrios6.
Abstract
Death in cancer patients can be caused by the progression of tumors, their malignity, or other associated conditions such as sepsis, which is a multiphasic host response to a pathogen that can be significantly amplified by endogenous factors. Its incidence is continuously rising, which reflects the increasing number of sick patients at a higher risk of infection, especially those that are elderly, pediatric, or immunosuppressed. Sepsis appears to be directly associated with oncological treatment and fatal septic shock. Patients with a cancer diagnosis face a much higher risk of infections after being immunosuppressed by chemotherapy, radiotherapy, or anti-inflammatory therapy, especially caused by non-pathogenic, Gram-negative, and multidrug-resistant pathogens. There is a notorious difference between the incidence and mortality rates related to sepsis in pediatric oncologic patients between developed and developing countries: they are much higher in developing countries, where investment for diagnosis and treatment resources, infrastructure, medical specialists, cancer-related control programs, and post-therapeutic care is insufficient. This situation not only limits but also reduces the life expectancy of treated pediatric oncologic patients, and demands higher costs from the healthcare systems. Therefore, efforts must aim to limit the progression of sepsis conditions, applying the most recommended therapeutic regimens as soon as the initial risk factors are clinically evident-or even before they are, as when taking advantage of machine learning prediction systems to analyze data.Entities:
Keywords: Mexico; childhood cancer; extensively drug-resistant (XDR) bacteria; multidrug-resistant (MDR) bacteria; pandrug-resistant (PDR) bacteria; post-therapeutic neutropenic fever; septicemia
Year: 2019 PMID: 31366110 PMCID: PMC6783913 DOI: 10.3390/antibiotics8030106
Source DB: PubMed Journal: Antibiotics (Basel) ISSN: 2079-6382
Figure 1Estimated ASR (age-standardized mortality rates) World in 2018, all cancers, both sexes, age 0–19. Based on the International Agency for Research on Cancer, “Global Cancer Observatory.” https://gco.iarc.fr/ [13].
Figure 2Schematic representation of the immunosuppressive effect produced both by the cancer cells themselves and by chemotherapy. HIF: hypoxia-inducible factor; MDSC: myeloid-derived suppressor cell; PD1: programmed cell death-1; PDL1: programmed cell death-1 ligand; SIRPα: signal-regulatory protein alpha; TReg: regulatory T cell; TCD4: T lymphocyte CD4 or helper.
Figure 3The clinical characteristics and pathophysiology of sepsis are multifactorial in nature.
Figure 4A brief look at the molecular and cellular mechanisms involved in the pathophysiology of sepsis. CLR: C-type lectin receptor; DAMP: damage-associated molecular pattern; MHC-II: histocompatibility complex class II; NLR: NOD-like receptor; PAMP: pathogen-associated molecular pattern; ROS: reactive oxygen species; TCR: T-cell receptor; TLR: Toll-like receptor.