Persistencia a los inhibidores de la aromatasa en la cohorte SIDIAP: mortalidad e influencia de los bifosfonatos / Persistence to aromatase inhibitors in the SIDIAP cohort: mortality and influence of bisphosphonates

OBJETIVO: Evaluar la persistencia a la terapia con inhibidores de la aromatasa (IA), la mortalidad asociada a la discontinuidad al tratamiento y la influencia de los bifosfonatos (BF) orales, en la práctica clínica habitual. MATERIAL Y MÉTODOS: Estudio prospectivo observacional de mujeres con cáncer de mama en tratamiento con IA entre enero de 2006 y diciembre de 2015, registradas en la base de datos SIDIAP. Se excluyeron aquellas tratadas previamente con tamoxifeno. Se estudió la persistencia al tratamiento con IA con un análisis de supervivencia: se calculó el estimador de Kaplan-Meier, y se realizó un modelo de los riesgos proporcionales (regresión de Cox) entre usuarias y no usuarias de BF ajustando por edad. Se llevó a cabo un análisis de sensibilidad teniendo en cuenta la mortalidad como riesgo competitivo (modelos de Fine y Gray). Se comparó la diferencia de mortalidad entre grupos mediante una prueba Chi cuadrado. RESULTADOS: Se observó una persistencia a los IA del 87% a 5 años de tratamiento, con una mortalidad global del 19,75%. Se registró un 7,7% menos de mortalidad en aquellas pacientes que completaron los 5 años de tratamiento respecto a las que no. Las pacientes con BF mostraron una disminución de la mortalidad (6,6%) y una disminución del riesgo de abandono de la terapia (SHR ajustado: 0,62 [IC 95%: 0,55 a 0,70]) respecto a las no usuarias. CONCLUSIONES: La permanencia a los IA y el uso de BF está asociada a una disminución de la mortalidad global. Además, el uso de BF resulta en un aumento de la adherencia al tratamiento con IA

OBJETIVE: To assess the persistence of aromatase inhibitor (AI) therapy, mortality associated with treatment discontinuation and the influence of oral bisphosphonates (BP) in routine clinical practice. MATERIAL AND METHODS: Prospective observational study of women with breast cancer undergoing AI treatment between January 2006 and December 2015, registered in the SIDIAP database. Those previously treated with tamoxifen were excluded. AI persistence was studied with a survival analysis: the Kaplan-Meier estimator was calculated, and a proportional hazards model (Cox regression) was performed between users and non-users of BP adjusting for age. A sensitivity analysis was carried out taking into account mortality as a competitive risk (Fine and Gray models). The difference in mortality between groups was compared using a Chi square test. RESULTS: A persistence to AI of 87% was observed after 5 years of treatment, with an overall mortality of 19.75%. There was 7.7% less mortality in those patients who completed the 5 years of treatment compared to those who did not. Patients with BP showed a decrease in mortality (6.6%) and a decrease in the risk of discontinuing therapy (adjusted SHR: 0.62 [95% CI: 0.55 to 0.70]) compared to non-users. CONCLUSIONS: Persistence to AI and BP use are associated with a decrease in overall mortality. Furthermore, the use of BP increases adherence to AI treatment

SEOM clinical guidelines in early stage breast cancer (2018)

Breast cancer is the most common cancer in women in our country and it is usually diagnosed in the early and potentially curable stages. Nevertheless, around 20-30% of patients will relapse despite appropriate locoregional and systemic therapies. A better knowledge of this disease is improving our ability to select the most appropriate therapy for each patient with a recent diagnosis of an early stage breast cancer, minimizing unnecessary toxicities and improving long-term efficacy

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Real-world data on the efficacy and safety of weekly oral vinorelbine in breast cancer patients previously treated with anthracycline or taxane-based regimens.

PURPOSE: To evaluate the efficacy and safety of oral weekly vinorelbine 60 mg/m2 for metastatic breast cancer (MBC) in patients previously treated with anthracyclines or taxanes in routine clinical practice. MATERIALS AND METHODS: Fifty-five patients were enrolled in a prospective multicentre study conducted in Spain. Women ≥ 18 years of age with locally advanced breast cancer who were not candidates for surgical treatment with a radical intention or patients with stage IV disease, and who had received a prior taxane or anthracycline regimen were eligible for participation. RESULTS: Median age was 67 years. Median progression-free survival was 3.7 months (95% CI 2.5-4.9), median overall survival 10 months (95% CI 6.6-13.5), and overall response rate and clinical benefit rate were 29.1% and 49.1%, respectively. Main grade 3 and 4 toxicities were neutropenia 9.1%, febrile neutropenia 3.6% and constipation 3.6%. In total, 86% of the patients received complete treatment without delays or dose reduction. Moreover, HER2-positive patients who received oral vinorelbine concomitantly with trastuzumab showed better response (complete response: HER2-positive 14.3% vs. HER2-negative 0%; partial response: HER2-positive 42.9% vs. HER2-negative 25.6%; p = 0.008), better disease control rate (HER2-positive 100% vs. HER2-negative 46.2%; p = 0.011), and better values for the remaining analysed variables than HER2-negative patients. CONCLUSION: Our study provides real-world data on the use of oral weekly vinorelbine, which proves an effective and well-tolerated regimen for MBC patients previously treated with taxanes or anthracyclines. Patients with HER2-positive disease could also benefit from this treatment in combination with trastuzumab.

SEOM clinical guidelines in early stage breast cancer (2018).

Breast cancer is the most common cancer in women in our country and it is usually diagnosed in the early and potentially curable stages. Nevertheless, around 20-30% of patients will relapse despite appropriate locoregional and systemic therapies. A better knowledge of this disease is improving our ability to select the most appropriate therapy for each patient with a recent diagnosis of an early stage breast cancer, minimizing unnecessary toxicities and improving long-term efficacy.

Estudio de la base genética de la reducción del Trabecular Bone Score relacionada con los inhibidores de la aromatasa / Study of the genetic basis of Trabecular Bone Score reduction related to aromatase inhibitors

Objetivos: Los inhibidores de la aromatasa (AI) son terapias endocrinas adyuvantes eficaces para pacientes con cáncer de mama, aunque se han asociado a un mayor riesgo de fractura osteoporótica. Previamente se ha demostrado una pérdida en el Trabecular Bone Score (TBS) que puede variar entre las pacientes tratadas con IA. El estudio pretendió identificar la base genética asociada al cambio en el TBS mediante el estudio de genes de la vía esteroidogénica. Material y métodos: La cohorte B-ABLE estudia de forma prospectiva a mujeres postmenopáusicas con cáncer de mama en tratamiento con IA. Se calculó el TBS a partir de los datos adquiridos en la densitometría mediante absorciometría radiológica dual (DXA) realizada al inicio y al final del tratamiento con IA. El cambio relativo del TBS se calculó como la variación porcentual del valor de TBS al final de tratamiento respecto al TBS basal. Para estudiar la posible asociación genética se genotiparon los polimorfismos de cambio de un nucleótido (SNPs) en los genes CYP11A1, CYP17A1, HDE3B2, HDE17B3, CYP19A1, CYP2C19, CYP2C9, ESR1, GC, CYP27B1, VDR y CYP24A1. Se estudió mediante regresión lineal múltiple la posible relación entre genes y cambios en TBS contemplando los modelos de herencia genética dominante, recesivo y aditivo. Resultados: Se incluyeron en el estudio un total de 212 mujeres no tratadas con bisfosfonatos en las que pudo calcularse el TBS. La mitad de las pacientes habían recibido tratamiento previo con tamoxifeno. El porcentaje de cambio intra-individual del TBS fue del -0,04% [IC del 95%: -0,05 a -0,03; p<0,001] al final de tratamiento con IA. El SNP rs6013897 en el gen CYP24A1 mostró una asociación significativa con la reducción del TBS [p=0,03565; coeficiente Beta (IC del 95%) = -1,55 (-2,98 a -0,11)]. Conclusiones: El gen CYP24A1 podría estar implicado en la variabilidad fenotípica encontrada en el deterioro de la microarquitectura ósea durante el tratamiento con IA

Objectives: Aromatase inhibitors (AI) are effective adjuvant endocrine therapies for breast cancer patients, although they have been associated with an increased risk of osteoporotic fracture. Trabecular Bone Score (TBS) loss has been previously demonstrated, although it may vary among AI-treated patients. This study aims to identify the genetic basis associated with TBS change by studying steroidogenic pathway genes. Material and methods: The B-ABLE cohort studies prospectively postmenopausal women with breast cancer under treatment with AI. TBS is calculated from the raw data acquired in dual-energy x-ray absorptiometry (DXA) scan at the outset of the study and at the end of AI-treatment. The relative TBS change was calculated as the percentage variation of the TBS value at the end of treatment from baseline. To study the possible genetic association, nucleotide polymorphisms (SNPs) were genotyped in genes CYP11A1, CYP17A1, HDE3B2, HDE17B3, CYP19A1, CYP2C19, CYP2C9, ESR1, GC, CYP27B1, VDR and CYP24A1. The possible relationship between genes and TBS changes was studied by multiple linear regression, considering models of dominant, recessive and additive genetic inheritance. Results: The study included 212 women that had not been treated with bisphosphonates and had available TBS data. Half of the patients had been treated previously with tamoxifen. The percentage of intra-individual TBS change was -0.04% [95% CI: -0.05 to -0.03; p<0.001] at the end of AI treatment. The SNP rs6013897 in the gene CYP24A1 showed a significant association with TBS reduction [p=0.03565; coefficient Beta (95% CI) = -1.55 (-2.98 to -0.11)]. Conclusions: The CYP24A1 gene could be involved in the phenotypic variability found in bone microarchitecture deterioration during AI treatment

Clinical and histologic characteristics of breast cancers in women with previous pathologic diagnosis of benign breast disease in Spain.

Women with a benign breast disease (BBD) have an increased risk of subsequent breast carcinoma. Information is scarce regarding the characteristics of breast carcinomas diagnosed after a BBD. Our aim was to point out the differences in clinical and histologic characteristics of breast carcinomas diagnosed in women with and without a previous pathologic diagnosis of BBD in the context of population-based mammography screening. Retrospective cohort study of all women aged 50-69 years who were screened at least once in a population-based screening program in Spain, between 1994 and 2011 and followed up until December 2012. The mean follow-up was 6.1 years. We analyzed 6645 breast carcinomas, of whom 238 had a previous pathologic diagnosis of BBD. Information on clinical and histologic characteristics was collected from pathology reports. Logistic regression was used to estimate the odds ratio (OR) and 95% confidence intervals (95%CI) of occurrence of selected histologic characteristics of breast carcinomas in women with and without a previous BBD. Women with a previous BBD had a higher proportion of ductal carcinoma in situ (DCIS) compared with women without a BBD (22.1% and 13.6%, respectively). Among those diagnosed with an invasive breast carcinoma, women with previous BBD were more likely to be diagnosed with carcinomas sized >2 cm (OR = 1.46; 95%CI = 1.03-2.08), metastatic positive (OR = 2.66; 95%CI = 1.21-5.86), and with a high Ki-67 proliferation rate (OR = 1.93; 95%CI = 1.24-2.99). No differences were found across histologic subtypes of BBD. Screening participants with a previous pathologic diagnosis of BBD had a higher proportion of DCIS. However, invasive carcinomas detected in women with a BBD were associated with clinical and histologic characteristics conferring a worst prognosis.

Psychological impact of multigene cancer panel testing in patients with a clinical suspicion of hereditary cancer across Spain.

OBJECTIVE: Patients' psychological reactions to multigene cancer panel testing might differ compared with the single-gene testing reactions because of the complexity and uncertainty associated with the different possible results. Understanding patients' preferences and psychological impact of multigene panel testing is important to adapt the genetic counselling model. METHODS: One hundred eighty-seven unrelated patients with clinical suspicion of hereditary cancer undergoing a 25-gene panel test completed questionnaires after pretest genetic counselling and at 1 week, 3 months, and 12 months after results to elicit their preferences regarding results disclosure and to measure their cancer worry and testing-specific distress and uncertainty. RESULTS: A pathogenic variant was identified in 38 patients (34 high penetrance and 4 moderate penetrance variants), and 54 patients had at least one variant of uncertain significance. Overall, cancer panel testing was not associated with an increase in cancer worry after results disclosure (P value = .87). Twelve months after results, carriers of a moderate penetrance variant had higher distress and uncertainty scores compared with carriers of high penetrance variants. Cancer worry prior to genetic testing predicted genetic testing specific distress after results, especially at long term (P value <.001). Most of the patients reported the wish to know all genetic results. CONCLUSIONS: Our results suggest that patients can psychologically cope with cancer panel testing, but distress and uncertainty observed in carriers of moderate penetrance cancer variants in this cohort warrant further research.

Análisis genético de enzimas de la vía esteroidal asociadas a efectos adversos musculoesqueléticos de los inhibidores de la aromatasa / Genetic analysis of steroid pathway enzymes associated with adverse musculoskeletal effects of aromatase inhibitors

Objetivos: Identificar putativas variantes funcionales en los genes CYP11A1 y CYP17A1 asociadas a efectos musculoesqueléticos (pérdida acelerada de la masa ósea y artralgias) derivados del tratamiento con inhibidores de la aromatasa (IA). Material y métodos: La cohorte B-ABLE es un estudio prospectivo de mujeres postmenopáusicas con cáncer de mama en tratamiento con IA. La densidad mineral ósea en columna lumbar y cuello femoral se midió mediante densitometría, y el dolor articular mediante escala analógica visual. A partir de polimorfismos de cambio de un nucleótido (SNPs) en los genes CYP11A1 (rs4077581, rs11632698 y rs900798) y CYP17A1 (rs4919686, rs4919683, rs4919687, rs3781287, rs10786712, rs6163, rs743572), asociados previamente con eventos musculoesqueléticos, se construyeron los haplotipos para cada paciente de la cohorte, y se seleccionaron aquellos que mostraron mayor diferencia fenotípica (p<0,05). Dentro de cada haplotipo, se eligieron aquellas pacientes con fenotipos extremos para la secuenciación de los respectivos genes y la identificación de variantes genéticas funcionales. Finalmente, se realizó un análisis de regresión lineal múltiple contemplando los modelos de herencia genética dominante, recesivo y aditivo. Resultados: No se encontró ninguna mutación en las regiones codificantes. En la región del promotor basal del gen CYP11A1 se encontró una variante genética (D15S520) asociada a la pérdida de masa ósea del cuello de fémur a los 24 meses de tratamiento con IA. Conclusiones: Variantes en regiones reguladoras del gen CYP11A1 podrían modular la expresión de este gen, explicando así parte de la variabilidad fenotípica encontrada en la pérdida de hueso de las pacientes en tratamiento con IA (AU)

Objetives: Identify putative functional variants in the CYP11A1 and CYP17A1 genes associated with musculoskeletal effects (accelerated bone mass loss and arthralgia) derived from treatment with aromatase inhibitors (AI). Material and methods: The B-ABLE cohort is a prospective study of postmenopausal women with breast cancer undergoing AI treatment. Bone mineral density in the lumbar spine and femoral neck was measured by densitometry and joint pain using visual analogue scale. From single-nucleotide polymorphisms (SNPs) in genes CYP11A1 (rs4077581, rs11632698 and rs900798) and CYP17A1 (rs4919686, rs4919683, rs4919687, rs3781287, rs10786712, rs6163, rs743572), previously associated with musculoskeletal events, haplotypes were constructed for each pacient from the cohort, and those haplotypes that showed greatest phenotypic differences were chosen (p<0.05). Within each haplotype, patients with extreme phenotypes were chosen for the sequencing of respective genes and identifying functional genetic variants. Finally, a multiple linear regression analysis was carried out considering the models of dominant, recessive and additive genetic inheritance. Results: No mutation was found in coding regions. A genetic variant (D15S520), in the basal promoter region of gene CYP11A1, was found associated with femoral neck bone loss at 24 month of AI treatment. Conclusions: Variants in regulatory regions of the CYP11A1 gene could modulate the expression of this gene, thus explaining part of the phenotypic variability found in bone loss of patients undergoing AI treatment (AU)

Evolución de la DMO durante el tratamiento con inhibidores de aromatasa y su relación con el gen CYP11A1: estudio prospectivo de la cohorte B-ABLE / BMD evolution during treatment with aromatase inhibitors and its relation to the CYP11A1 gene: prospective study in the B-ABLE cohort

Objetivos: El objetivo del estudio fue analizar los cambios en la densidad mineral ósea (DMO) a lo largo del tratamiento con inhibidores de aromatasa (IA) en la práctica clínica y evaluar la asociación entre el gen CYP11A1 y la variación de DMO al final del tratamiento. Material y métodos: La cohorte B-ABLE es un estudio prospectivo de mujeres postmenopáusicas con cáncer de mama, en tratamiento con IA. Se analizó la variación de DMO durante todo el tratamiento con IA, así como las diferencias entre las pacientes tratadas y no-tratadas previamente con tamoxifeno (TMX). Tres polimorfismos (rs4077581, rs11632698 y rs900798) del gen CYP11A1, fueron genotipados para su asociación con la variación de DMO. Resultados: Las pacientes tratadas con TMX mostraron pérdidas más aceleradas de DMO que las no tratadas previamente con TMX (60% menos en columna y 46% en fémur a los 2 años y 70% menos en columna y 63% en fémur a los 3 años). No obstante, al final del tratamiento no se detectaron diferencias significativas en la pérdida de DMO entre ambos grupos de pacientes. Los 3 polimorfismos del gen CYP11A1 resultaron significativamente asociados a la variación de DMO en fémur al final del tratamiento. Conclusiones: La DMO disminuyó de forma más acelerada en las pacientes con tratamiento previo con TMX que en las que solo recibieron AI, a pesar de que no se detectaron diferencias significativas al final de tratamiento. Polimorfismos en el gen CYP11A1 están relacionados con la variación de la DMO en respuesta al tratamiento con IA (AU)

Objectives: The aim of this study was to analyze bone mineral density (BMD) changes throughout aromatase inhibitor (AI) treatment in clinical cases and also consider its association with the CYP11A1 gene and the BMD variation after treatment. Material and methods: The B-ABLE cohort is a prospective study of postmenopausal women with breast cancer, in AI treatment. BMD variation was analyzed during AI treatment, as well as the differences those patients who were treated and not treated previously with tamoxifen (TMX). Three polymorphisms (rs4077581, rs11632698 and rs900798) of the CYP11A1 gene were genotyped for their association with BMD variation. Results: TMX-treated patients presented more rapid BMD loss than those who did not undergo prior TMX treatment (60% less in spine and 46% in femur at 2 years and 70% less in the spine and 63% in the femur at 3 years). However, no significant BMD loss was detected after treatment in either group. The 3 CYP11A1 gene polymorphisms were significantly associated with BMD variation in the femur at the end of the treatment. Conclusions: BMD was reduced more rapidly in patients with prior TMX treatment than in those who only received AI, although no significant differences were detected after treatment. The 3 CYP11A1 gene polymorphisms were associated with BMD variation in response to AI treatment (AU)

SEOM clinical guidelines in early-stage breast cancer 2015

Breast cancer is a major public health problem. Despite remarkable advances in early diagnosis and treatment, one in three women may have metastases since diagnosis. Better understanding of prognostic and predictive factors allows us to select the most appropriate adjuvant therapy in each patient. In these guidelines, we summarize current evidence for the medical management of early-stage breast cáncer (AU)

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SEOM clinical guidelines in early-stage breast cancer 2015.

Breast cancer is a major public health problem. Despite remarkable advances in early diagnosis and treatment, one in three women may have metastases since diagnosis. Better understanding of prognostic and predictive factors allows us to select the most appropriate adjuvant therapy in each patient. In these guidelines, we summarize current evidence for the medical management of early-stage breast cancer.

CYP11A1 expression in bone is associated with aromatase inhibitor-related bone loss.

Aromatase inhibitors (AIs) used as adjuvant therapy in postmenopausal women with hormone receptor-positive breast cancer cause diverse musculoskeletal side effects that include bone loss and its associated fracture. About half of the 391 patients treated with AIs in the Barcelona-Aromatase induced bone loss in early breast cancer cohort suffered a significant bone loss at lumbar spine (LS) and/or femoral neck (FN) after 2 years on AI-treatment. In contrast, up to one-third (19.6% LS, 38.6% FN) showed no decline or even increased bone density. The present study aimed to determine the genetic basis for this variability. SNPs in candidate genes involved in vitamin D and estrogen hormone-response pathways (CYP11A1, CYP17A1, HSD3B2, HSD17B3, CYP19A1, CYP2C19, CYP2C9, ESR1, DHCR7, GC, CYP2R1, CYP27B1, VDR and CYP24A1) were genotyped for association analysis with AI-related bone loss (AIBL). After multiple testing correction, 3 tag-SNPs (rs4077581, s11632698 and rs900798) located in the CYP11A1 gene were significantly associated (P<0.005) with FN AIBL at 2 years of treatment. Next, CYP11A1 expression in human fresh bone tissue and primary osteoblasts was demonstrated by RT-PCR. Both common isoforms of human cholesterol side-chain cleavage enzyme (encoded by CYP11A1 gene) were detected in osteoblasts by western blot. In conclusion, the genetic association of CYP11A1 gene with AIBL and its expression in bone tissue reveals a potential local function of this enzyme in bone metabolism regulation, offering a new vision of the steroidogenic ability of this tissue and new understanding of AI-induced bone loss.

Desarrollo y validación de un algoritmo para identificar recidivas de cáncer a partir de bases de datos hospitalarias / Development and validation of an algorithm to identify cancer recurrences from hospital data bases

Objetivos. Los registros de tumores hospitalarios y las bases de datos hospitalarias son una fuente de información valiosa y eficiente para la investigación de recidivas de cáncer. El objetivo de este estudio fue desarrollar y validar algoritmos para identificar recidivas de cáncer de mama. Métodos. Estudio observacional retrospectivo de casos de cáncer de mama del registro de tumores de un centro hospitalario universitario de tercer nivel diagnosticados entre 2003 y 2009. A partir del cruce de bases de datos hospitalarias y la construcción de definiciones operativas se obtuvieron diferentes algoritmos de probable recidiva de cáncer con su correspondiente sensibilidad, especificidad, valor predictivo positivo y valor predictivo negativo. Resultados. Se identificaron 1.523 pacientes diagnosticados de cáncer entre 2003 y 2009. La solicitud de gammagrafía ósea tras 6 meses desde el primer tratamiento oncológico obtuvo la mayor sensibilidad (53,8%) y valor predictivo negativo (93,8%), y la realización de una prueba de anatomía patológica tras 6 meses desde el diagnóstico obtuvo la mayor especificidad (93,8%) y valor predictivo negativo (92,6%). La combinación de definiciones aumentó la especificidad y el valor predictivo positivo pero disminuyó la sensibilidad. Conclusiones. Se elaboraron diferentes algoritmos diagnósticos cuyas definiciones pueden ser útiles según los intereses y recursos del investigador. Un mayor valor predictivo positivo podría interesar para una estimación rápida del número de casos, y un mayor valor predictivo negativo para dar una estimación más exacta si se dispone de mayores recursos. Estos algoritmos se configuran como una herramienta versátil y adaptable a otros tumores y a las necesidades del investigador (AU)

Objectives. Hospital cancer registries and hospital databases are valuable and efficient sources of information for research into cancer recurrences. The aim of this study was to develop and validate algorithms for the detection of breast cancer recurrence. Methods. A retrospective observational study was conducted on breast cancer cases from the cancer registry of a third level university hospital diagnosed between 2003 and 2009. Different probable cancer recurrence algorithms were obtained by linking the hospital databases and the construction of several operational definitions, with their corresponding sensitivity, specificity, positive predictive value and negative predictive value. Results. A total of 1,523 patients were diagnosed of breast cancer between 2003 and 2009. A request for bone gammagraphy after 6 months from the first oncological treatment showed the highest sensitivity (53.8%) and negative predictive value (93.8%), and a pathology test after 6 months after the diagnosis showed the highest specificity (93.8%) and negative predictive value (92.6%). The combination of different definitions increased the specificity and the positive predictive value, but decreased the sensitivity. Conclusions. Several diagnostic algorithms were obtained, and the different definitions could be useful depending on the interest and resources of the researcher. A higher positive predictive value could be interesting for a quick estimation of the number of cases, and a higher negative predictive value for a more exact estimation if more resources are available. It is a versatile and adaptable tool for other types of tumors, as well as for the needs of the researcher (AU)

[Development and validation of an algorithm to identify cancer recurrences from hospital data bases]. / Desarrollo y validación de un algoritmo para identificar recidivas de cáncer a partir de bases de datos hospitalarias.

OBJECTIVES: Hospital cancer registries and hospital databases are valuable and efficient sources of information for research into cancer recurrences. The aim of this study was to develop and validate algorithms for the detection of breast cancer recurrence. METHODS: A retrospective observational study was conducted on breast cancer cases from the cancer registry of a third level university hospital diagnosed between 2003 and 2009. Different probable cancer recurrence algorithms were obtained by linking the hospital databases and the construction of several operational definitions, with their corresponding sensitivity, specificity, positive predictive value and negative predictive value. RESULTS: A total of 1,523 patients were diagnosed of breast cancer between 2003 and 2009. A request for bone gammagraphy after 6 months from the first oncological treatment showed the highest sensitivity (53.8%) and negative predictive value (93.8%), and a pathology test after 6 months after the diagnosis showed the highest specificity (93.8%) and negative predictive value (92.6%). The combination of different definitions increased the specificity and the positive predictive value, but decreased the sensitivity. CONCLUSIONS: Several diagnostic algorithms were obtained, and the different definitions could be useful depending on the interest and resources of the researcher. A higher positive predictive value could be interesting for a quick estimation of the number of cases, and a higher negative predictive value for a more exact estimation if more resources are available. It is a versatile and adaptable tool for other types of tumors, as well as for the needs of the researcher.

Chemotherapy-induced nausea and vomiting: pathophysiology and therapeutic principles

Chemotherapy-induced nausea and vomiting (CINV) is a major determinant of quality of life in cancer patients. In addition, the perceptions that oncology professionals have about CINV quite often do not coincide with reality. Antineoplastic agents and their combinations can be categorised according to their emetogenic level, and this categorisation is helpful for classifying the severity of CINV and treating it. All CINV treatment guidelines emphasise the need to administer prophylaxis to patients who receive highly or moderately emetogenic chemotherapy. With the introduction of NK1 receptor antagonists, the control of acute and delayed CINV after highly or moderately emetogenic chemotherapy schedules has improved in the great majority of patients. NK1 receptor antagonists have been demonstrated to improve the control of CINV in all risk subgroups of patients (AU)

Chemotherapy-induced nausea and vomiting: pathophysiology and therapeutic principles.

Chemotherapy-induced nausea and vomiting (CINV) is a major determinant of quality of life in cancer patients. In addition, the perceptions that oncology professionals have about CINV quite often do not coincide with reality. Antineoplastic agents and their combinations can be categorised according to their emetogenic level, and this categorisation is helpful for classifying the severity of CINV and treating it. All CINV treatment guidelines emphasise the need to administer prophylaxis to patients who receive highly or moderately emetogenic chemotherapy. With the introduction of NK1 receptor antagonists, the control of acute and delayed CINV after highly or moderately emetogenic chemotherapy schedules has improved in the great majority of patients. NK1 receptor antagonists have been demonstrated to improve the control of CINV in all risk subgroups of patients.

Nuclear PARP-1 protein overexpression is associated with poor overall survival in early breast cancer.

BACKGROUND: Poly(ADP-ribose)polymerase-1 (PARP-1) is a highly promising novel target in breast cancer. However, the expression of PARP-1 protein in breast cancer and its associations with outcome are yet poorly characterized. PATIENTS AND METHODS: Quantitative expression of PARP-1 protein was assayed by a specific immunohistochemical signal intensity scanning assay in a range of normal to malignant breast lesions, including a series of patients (N = 330) with operable breast cancer to correlate with clinicopathological factors and long-term outcome. RESULTS: PARP-1 was overexpressed in about a third of ductal carcinoma in situ and infiltrating breast carcinomas. PARP-1 protein overexpression was associated to higher tumor grade (P = 0.01), estrogen-negative tumors (P < 0.001) and triple-negative phenotype (P < 0.001). The hazard ratio (HR) for death in patients with PARP-1 overexpressing tumors was 7.24 (95% CI; 3.56-14.75). In a multivariate analysis, PARP-1 overexpression was an independent prognostic factor for both disease-free (HR 10.05; 95% CI 5.42-10.66) and overall survival (HR 1.82; 95% CI 1.32-2.52). CONCLUSIONS: Nuclear PARP-1 is overexpressed during the malignant transformation of the breast, particularly in triple-negative tumors, and independently predicts poor prognosis in operable invasive breast cancer.