10 research outputs found
Trastuzumab-Induced Myocardiotoxicity Mimicking Acute Coronary Syndrome
Trastuzumab is an important biological agent in the treatment of HER2-positive breast cancer, with effects on response rates, progression-free survival, overall survival and quality of life. Although this drug is well tolerated in terms of adverse effects, trastuzumab-associated myocardiotoxicity has been described to have an incidence of 0.6–4.5% and in rare cases, the drug can trigger severe congestive heart failure with progression to death or even mimic acute coronary syndrome with complete left bundle branch blockade. In this paper is reported a case of trastuzumab-associated myocardiotoxicity manifesting as acute coronary syndrome in a 69-year-old female. The patient is currently undergoing a conservative clinical treatment that restricts overexertion
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
We analyzed molecular data on 2,579 tumors from The Cancer Genome Atlas (TCGA) of four gynecological types plus breast. Our aims were to identify shared and unique molecular features, clinically significant subtypes, and potential therapeutic targets. We found 61 somatic copy-number alterations (SCNAs) and 46 significantly mutated genes (SMGs). Eleven SCNAs and 11 SMGs had not been identified in previous TCGA studies of the individual tumor types. We found functionally significant estrogen receptor-regulated long non-coding RNAs (lncRNAs) and gene/lncRNA interaction networks. Pathway analysis identified subtypes with high leukocyte infiltration, raising potential implications for immunotherapy. Using 16 key molecular features, we identified five prognostic subtypes and developed a decision tree that classified patients into the subtypes based on just six features that are assessable in clinical laboratories. By performing molecular analyses of 2,579 TCGA gynecological (OV, UCEC, CESC, and UCS) and breast tumors, Berger et al. identify five prognostic subtypes using 16 key molecular features and propose a decision tree based on six clinically assessable features that classifies patients into the subtypes
Neoadjuvant chemotherapy with trastuzumab in HER2-positive breast cancer: pathologic complete response rate, predictive and prognostic factors
The purpose of this study was to retrospectively review the pathologic complete response (pCR) rate from patients (n=86) with stage II and III HER2-positive breast cancer treated with neoadjuvant chemotherapy at our institution from 2008 to 2013 and to determine possible predictive and prognostic factors. Immunohistochemistry for hormone receptors and Ki-67 was carried out. Clinical and pathological features were analyzed as predictive factors of response to therapy. For survival analysis, we used Kaplan-Meier curves to estimate 5-year survival rates and the log-rank test to compare the curves. The addition of trastuzumab to neoadjuvant chemotherapy significantly improved pCR rate from 4.8 to 46.8%, regardless of the number of preoperative trastuzumab cycles (P=0.0012). Stage II patients achieved a higher response rate compared to stage III (P=0.03). The disease-free and overall survivals were not significantly different between the group of patients that received trastuzumab in the neoadjuvant setting (56.3 and 70% at 5 years, respectively) and the group that initiated it post-operatively (75.8 and 88.7% at 5 years, respectively). Axillary pCR post neoadjuvant chemotherapy with trastuzumab was associated with reduced risk of recurrence (HR=0.34; P=0.03) and death (HR=0.21; P=0.02). In conclusion, we confirmed that trastuzumab improves pCR rates and verified that this improvement occurs even with less than four cycles of the drug. Hormone receptors and Ki-67 expressions were not predictive of response in this subset of patients. Axillary pCR clearly denotes prognosis after neoadjuvant target therapy and should be considered to be a marker of resistance, providing an opportunity to investigate new strategies for HER2-positive treatment
Neoadjuvant chemotherapy with trastuzumab in HER2-positive breast cancer: pathologic complete response rate, predictive and prognostic factors
The purpose of this study was to retrospectively review the pathologic complete response (pCR) rate from patients (n=86) with stage II and III HER2-positive breast cancer treated with neoadjuvant chemotherapy at our institution from 2008 to 2013 and to determine possible predictive and prognostic factors. Immunohistochemistry for hormone receptors and Ki-67 was carried out. Clinical and pathological features were analyzed as predictive factors of response to therapy. For survival analysis, we used Kaplan-Meier curves to estimate 5-year survival rates and the log-rank test to compare the curves. The addition of trastuzumab to neoadjuvant chemotherapy significantly improved pCR rate from 4.8 to 46.8%, regardless of the number of preoperative trastuzumab cycles (P=0.0012). Stage II patients achieved a higher response rate compared to stage III (P=0.03). The disease-free and overall survivals were not significantly different between the group of patients that received trastuzumab in the neoadjuvant setting (56.3 and 70% at 5 years, respectively) and the group that initiated it post-operatively (75.8 and 88.7% at 5 years, respectively). Axillary pCR post neoadjuvant chemotherapy with trastuzumab was associated with reduced risk of recurrence (HR=0.34; P=0.03) and death (HR=0.21; P=0.02). In conclusion, we confirmed that trastuzumab improves pCR rates and verified that this improvement occurs even with less than four cycles of the drug. Hormone receptors and Ki-67 expressions were not predictive of response in this subset of patients. Axillary pCR clearly denotes prognosis after neoadjuvant target therapy and should be considered to be a marker of resistance, providing an opportunity to investigate new strategies for HER2-positive treatment
Repercussões do câncer de mama na imagem corporal da mulher: uma revisão sistemática
Além de apresentar implicações inerentes a qualquer adoecimento, o câncer de mama feminino é também um dos cânceres mais temidos, por afetar não apenas o corpo anatômico, mas principalmente alguns aspectos psicossociais da paciente. Dentre estes, destaca-se sua imagem corporal. O presente trabalho teve como objetivo realizar uma revisão sistemática de artigos que abordaram a imagem corporal no câncer de mama, com descrição do conteúdo da produção encontrada. Para tanto, realizou-se uma revisão dos artigos publicados entre 2000 e 2010 em revistas científicas indexadas, por meio de busca nas bases de dados bibliográficos SciELO, PubMed, PePSIC e PsycINFO. Concluiu-se que o adoecimento por câncer da mama acaba por adoecer também a imagem corporal da mulher assistida, e que seu impacto varia conforme o tipo de procedimento cirúrgico escolhido, os tratamentos complementares adotados, a rede de apoio que cerca a paciente e suas características individuais. A alteração na imagem corporal tem múltiplas implicações na vida sexual e conjugal da mulher, afetando as relações com seu círculo social e consigo mesma, influenciando sua autoestima e seu sentimento de feminilidade e podendo levar a sintomas de ansiedade e depressão. Embora avanços tenham sido verificados no estudo da relação entre imagem corporal e câncer de mama, esta pesquisa aponta para a existência de um campo fértil de investigação sobre o tema, ainda pouco explorado.Besides presenting implications inherent to any illness, female breast cancer is also one of the most feared cancers, affecting not only the anatomic body, but mainly some psychosocial aspects of the patient and, among these, the body image is highlighted. This paper aimed to carry out a systematic review of papers that approached the body image in breast cancer, with the description of the content of the production. To do so, a review was carried out of papers published between 2000 and 2010 on indexed scientific journals, through searches conducted on bibliographic databases SciELO, PubMed, PePSIC and PsycINFO. We have concluded that breast cancer ends up causing the body image of the assisted woman to fall ill, and that the impact of such cancer varies according to the type of surgical procedure chosen, the complementary treatments adopted, the support network that surrounds the patient, and their individual characteristics. The alteration in the body image has multiple implications in the sexual and conjugal life of the woman, affecting the relations with her social circle and with herself, influencing her self-esteem and her sense of femininity, possibly leading to symptoms of anxiety and depression. Although advancements have been verified in the study of the relation between body image and breast cancer, this research points to the existence of a fertile field of investigation about the theme, still little explored
A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
We analyzed molecular data on 2,579 tumors from The Cancer Genome Atlas (TCGA) of four gynecological types plus breast. Our aims were to identify shared and unique molecular features, clinically significant subtypes, and potential therapeutic targets. We found 61 somatic copy-number alterations (SCNAs) and 46 significantly mutated genes (SMGs). Eleven SCNAs and 11 SMGs had not been identified in previous TCGA studies of the individual tumor types. We found functionally significant estrogen receptor-regulated long non-coding RNAs (lncRNAs) and gene/lncRNA interaction networks. Pathway analysis identified subtypes with high leukocyte infiltration, raising potential implications for immunotherapy. Using 16 key molecular features, we identified five prognostic subtypes and developed a decision tree that classified patients into the subtypes based on just six features that are assessable in clinical laboratories. By performing molecular analyses of 2,579 TCGA gynecological (OV, UCEC, CESC, and UCS) and breast tumors, Berger et al. identify five prognostic subtypes using 16 key molecular features and propose a decision tree based on six clinically assessable features that classifies patients into the subtypes