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1.
Int J Cancer ; 145(2): 318-326, 2019 07 15.
Article in English | MEDLINE | ID: mdl-30303536

ABSTRACT

Colorectal cancer (CRC) is one of the most common cancers in Latin America and the Caribbean, with the highest rates reported for Uruguay, Brazil and Argentina. We provide a global snapshot of the CRC patterns, how screening is performed, and compared/contrasted to the genetic profile of Lynch syndrome (LS) in the region. From the literature, we find that only nine (20%) of the Latin America and the Caribbean countries have developed guidelines for early detection of CRC, and also with a low adherence. We describe a genetic profile of LS, including a total of 2,685 suspected families, where confirmed LS ranged from 8% in Uruguay and Argentina to 60% in Peru. Among confirmed LS, path_MLH1 variants were most commonly identified in Peru (82%), Mexico (80%), Chile (60%), and path_MSH2/EPCAM variants were most frequently identified in Colombia (80%) and Argentina (47%). Path_MSH6 and path_PMS2 variants were less common, but they showed important presence in Brazil (15%) and Chile (10%), respectively. Important differences exist at identifying LS families in Latin American countries, where the spectrum of path_MLH1 and path_MSH2 variants are those most frequently identified. Our findings have an impact on the evaluation of the patients and their relatives at risk for LS, derived from the gene affected. Although the awareness of hereditary cancer and genetic testing has improved in the last decade, it is remains deficient, with 39%-80% of the families not being identified for LS among those who actually met both the clinical criteria for LS and showed MMR deficiency.


Subject(s)
Colorectal Neoplasms, Hereditary Nonpolyposis/diagnosis , Colorectal Neoplasms, Hereditary Nonpolyposis/epidemiology , MutL Protein Homolog 1/genetics , MutS Homolog 2 Protein/genetics , Colorectal Neoplasms, Hereditary Nonpolyposis/genetics , Early Detection of Cancer , Female , Guideline Adherence , Humans , Latin America/epidemiology , Male , Practice Guidelines as Topic , Risk Assessment
2.
Breast ; 38: 39-44, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29223797

ABSTRACT

BACKGROUND: and Purpose: Post-operative radiation therapy (PORT) is usually indicated for patients with breast cancer (BC) after neoadjuvant chemotherapy (NAC) and surgery. However, the optimal timing to initiation of PORT is currently unknown. MATERIAL AND METHODS: We retrospectively evaluated data from patients with BC who received PORT after NAC and surgery at our institution from 2008 to 2014. Patients were categorized into three groups according to the time between surgery and PORT: <8 weeks, 8-16 weeks and >16 weeks. RESULTS: A total of 581 patients were included; 74% had clinical stage III. Forty-three patients started PORT within 8 weeks, 354 between 8 and 16 weeks and 184 beyond 16 weeks from surgery. With a median follow-up of 32 months, initiation of PORT up to 8 weeks after surgery was associated with better disease-free survival (DFS) (<8 weeks versus 8-16 weeks: HR 0.33; 95% CI 0.13-0.81; p = 0.02; <8 weeks versus >16 weeks: HR 0.38; 95% CI 0.15-0.96; p = 0.04) and better overall survival (OS) (<8 weeks versus 8-16 weeks: HR 0.22; 95% CI 0.05-0.90; p = 0.036; <8 weeks versus >16 weeks: HR 0.28; 95% CI 0.07-1.15; p = 0.08). CONCLUSION: PORT started up to 8 weeks after surgery was associated with better DFS and OS in locally-advanced BC patients submitted to NAC. Our findings suggest that early initiation of PORT is critically important for these patients. However, the low numbers of patients and events in this study prevent us from drawing firm conclusions.


Subject(s)
Breast Neoplasms/radiotherapy , Mastectomy/statistics & numerical data , Adult , Aged , Aged, 80 and over , Breast Neoplasms/drug therapy , Breast Neoplasms/mortality , Breast Neoplasms/surgery , Chemotherapy, Adjuvant/methods , Disease-Free Survival , Female , Follow-Up Studies , Humans , Middle Aged , Neoadjuvant Therapy/methods , Radiotherapy, Adjuvant/methods , Retrospective Studies , Survival Rate , Time Factors , Treatment Outcome , Young Adult
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