AIM: To assess the impact of bacterial infections on cancer-specific survival in patients with colorectal cancer. METHODS: This was a retrospective cohort study of colorectal cancer patients treated at the A.C. Camargo Cancer Center between January 2006 and April 2010. The presence of bacterial infection during cancer treatment, or up to one year after, was confirmed by laboratory tests or by the physician. Infections of the urinary, respiratory or digestive tracts, bloodstream, skin or surgical site were defined by testing within a single laboratory. Criteria for exclusion from the study were: chronically immunosuppressed patients; transplant patients (due to chronic immunosuppression); human immunodeficiency virus carriers; chronic use of corticosteroids or other immunosuppressive drugs; patients with autoimmune disease or primary immunodeficiency; known viral or parasitic infections. Patients with infections that did not require hospitalization were not included in the study because of the difficulty of collecting and tracking data related to infectious processes. In addition, patients hospitalized for pulmonary thromboembolism, stroke, acute myocardial infarction, uncontrolled diabetes, malignant hypercalcemia or other serious non-infectious complications not directly related to infection were also excluded. Survival curves were plotted using the Kaplan-Meier method, and log-rank tests (univariate analysis) and a Cox test assuming a proportional hazards model (multivariate analysis) were performed to examine associations between clinical history and characteristics of infection with cancer-specific survival. RESULTS: One-hundred and six patients with colorectal cancer were divided into two groups based on the presence or absence of bacterial infection. Patient ages ranged from 23 to 91 years, with a median of 55 years. The majority of patients were male (57/106, 53.77%) with stage III colorectal cancer (45/106, 44.11%). A total of 86 bacteriologic events were recorded. Results indicate that the presence and number of infections during or after the end of treatment were associated with poorer-cancer specific survivals (P = 0.02). Elevated neutrophil counts were also associated with poorer cancer-specific survival (P = 0.02). Analysis of patient age revealed that patients > 65 years of age had a poorer cancer-specific survival (P = 0.04). A multivariate analysis demonstrated that infection was an independent predictor of poor survival (HR = 2.62, 95%CI: 1.26-5.45; P = 0.01) along with advanced clinical staging (HR = 2.63, 95%CI: 1.08-6.39; P = 0.03). CONCLUSION: Infection and high neutrophil counts are associated with a poorer cancer-specific survival in colorectal cancer patients.
AIM: To assess the impact of bacterial infections on cancer-specific survival in patients with colorectal cancer. METHODS: This was a retrospective cohort study of colorectal cancerpatients treated at the A.C. Camargo Cancer Center between January 2006 and April 2010. The presence of bacterial infection during cancer treatment, or up to one year after, was confirmed by laboratory tests or by the physician. Infections of the urinary, respiratory or digestive tracts, bloodstream, skin or surgical site were defined by testing within a single laboratory. Criteria for exclusion from the study were: chronically immunosuppressed patients; transplant patients (due to chronic immunosuppression); human immunodeficiency virus carriers; chronic use of corticosteroids or other immunosuppressive drugs; patients with autoimmune disease or primary immunodeficiency; known viral or parasitic infections. Patients with infections that did not require hospitalization were not included in the study because of the difficulty of collecting and tracking data related to infectious processes. In addition, patients hospitalized for pulmonary thromboembolism, stroke, acute myocardial infarction, uncontrolled diabetes, malignant hypercalcemia or other serious non-infectious complications not directly related to infection were also excluded. Survival curves were plotted using the Kaplan-Meier method, and log-rank tests (univariate analysis) and a Cox test assuming a proportional hazards model (multivariate analysis) were performed to examine associations between clinical history and characteristics of infection with cancer-specific survival. RESULTS: One-hundred and six patients with colorectal cancer were divided into two groups based on the presence or absence of bacterial infection. Patient ages ranged from 23 to 91 years, with a median of 55 years. The majority of patients were male (57/106, 53.77%) with stage III colorectal cancer (45/106, 44.11%). A total of 86 bacteriologic events were recorded. Results indicate that the presence and number of infections during or after the end of treatment were associated with poorer-cancer specific survivals (P = 0.02). Elevated neutrophil counts were also associated with poorer cancer-specific survival (P = 0.02). Analysis of patient age revealed that patients > 65 years of age had a poorer cancer-specific survival (P = 0.04). A multivariate analysis demonstrated that infection was an independent predictor of poor survival (HR = 2.62, 95%CI: 1.26-5.45; P = 0.01) along with advanced clinical staging (HR = 2.63, 95%CI: 1.08-6.39; P = 0.03). CONCLUSION:Infection and high neutrophil counts are associated with a poorer cancer-specific survival in colorectal cancerpatients.
Authors: Leif-Erik Bohman; Jade Gallardo; Todd C Hankinson; Allen E Waziri; Christopher E Mandigo; Guy M McKhann; Michael B Sisti; Peter Canoll; Jeffrey N Bruce Journal: Neurosurgery Date: 2009-05 Impact factor: 4.654
Authors: Ming Zhao; Jack Geller; Huaiyu Ma; Meng Yang; Sheldon Penman; Robert M Hoffman Journal: Proc Natl Acad Sci U S A Date: 2007-06-04 Impact factor: 11.205
Authors: Frederick J Kohlhapp; Erica J Huelsmann; Andrew T Lacek; Jason M Schenkel; Jevgenijs Lusciks; Joseph R Broucek; Josef W Goldufsky; Tasha Hughes; Janet P Zayas; Hubert Dolubizno; Ryan T Sowell; Regina Kühner; Sarah Burd; John C Kubasiak; Arman Nabatiyan; Sh'Rae Marshall; Praveen K Bommareddy; Shengguo Li; Jenna H Newman; Claude E Monken; Sasha H Shafikhani; Amanda L Marzo; Jose A Guevara-Patino; Ahmed Lasfar; Paul G Thomas; Edmund C Lattime; Howard L Kaufman; Andrew Zloza Journal: Cell Rep Date: 2016-10-18 Impact factor: 9.423
Authors: Sambhawa Priya; Michael B Burns; Tonya Ward; Ruben A T Mars; Beth Adamowicz; Eric F Lock; Purna C Kashyap; Dan Knights; Ran Blekhman Journal: Nat Microbiol Date: 2022-05-16 Impact factor: 30.964
Authors: Wai Hoong Chang; Michail Katsoulis; Yen Yi Tan; Stefanie H Mueller; Katherine Green; Alvina G Lai Journal: Lancet Reg Health Eur Date: 2021-11-14