Glioblastomas de larga supervivencia: un análisis sistemático de la literatura a propósito de un caso / Long-term survival of glioblastoma: A systematic analysis of literature about a case

Introducción: A pesar de las modificaciones introducidas en el tratamiento de los glioblastomas a partir del 2005, los pacientes supervivientes de más de 10 años se han mantenido constantes, siendo dicha cifra muy pobre e inferior al 1% en la mayoría de los estudios.Material y métodos: Se realiza un análisis sistemático de la literatura identificando los factores que pueden influir en los pacientes de larga supervivencia. Se identifica un caso en nuestro medio de más de 20 años de supervivencia realizándose un análisis actual del bloque de parafina que se conservaba del paciente.Resultados: La variable que más se asocia a la larga supervivencia en todos los análisis multivariantes es la edad, aunque, cuando se analiza las características genéticas y moleculares de los tumores, parecen existir otras variables como la metilación del promotor MGMT que juegan un papel muy importante. El análisis anatomo-patológico actual de la muestra comprueba la certeza del diagnóstico en nuestro paciente de muy larga supervivencia.Conclusiones: Múltiples variables son encontradas que influencian la larga supervivencia en distintas series, si bien los estudios analizados son muy heterogéneos resultando muy difícil la comparación entre ellos. La mayoría de los estudios referenciados pertenecen a bases de datos nacionales de distintos países que engloban a cientos de pacientes. Sería interesante fomentar el uso de una única base de datos en España que permita, entre otros, el análisis de estos pacientes de larga supervivencia afectos de glioblastoma (AU)

Introduction: In spite of the changes for the treatment of glioblastoma since 2005, we haven’t seen differences between long-survival patients of more than 10 years showing a value minor than 1%.Material and method: We realize a systematic analysis and identify important factors for long survivor patients. We also show an own case with more of 20 years of survival. We make a new pathological study of the old paraffin block of this patient.Results: The most important variable associated with long-survival between all multivariant studies is the age. When we try to find genetic and molecular alterations in glioblastoma associated with prolongated survival, the MGMT promoter methylation play the most important role. We find a correct diagnosis in the current analysis of our patient's sample with very long survival.Conclusions: Multiple variables are found that affect long survival of glioblastoma series but analyzed studies are very heterogeneous and it is very difficult comparation between them. Most articles we review are obtained from databases of different countries with hundreds of patients. It would be very interesting to promote the use of a single database in Spain that allows us to study these long-term glioblastoma survivors (AU)

Twenty-Year Survival of Patients Operated on for Non-Small-Cell Lung Cancer: The Impact of Tumor Stage and Patient-Related Parameters.

Surgery is the mainstay treatment of non-small-cell lung cancer (NSCLC), but its impact on very-long-term survival (beyond 15 years) has never been evaluated. METHODS: All patients operated on for major lung resection (Jun. 2001-Dec. 2002) for NSCL in the Thoracic Surgery Department at Paris-Hôtel-Dieu-University-Hospital were included. Patients' characteristics were prospectively collected. Vital status was obtained by checking INSEE database and verifying if reported as "non-death" by the hospital administrative database and direct phone interviews with patients of families. RESULTS: 345 patients were included. The 15- and 20-year survival rates were 12.2% and 5.7%, respectively. At univariate analysis, predictors of worse survivals were: increasing age at surgery (p = 0.0042), lower BMI (p = 0.009), weight loss (p = 0.0034), higher CRP (p = 0.049), pathological stage (p = 0.00000042), and, among patients with adenocarcinoma, higher grade (p = 0.028). Increasing age (p = 0.004), cumulative smoking (p = 0.045), lower BMI (0.046) and pathological stage (p = 0.0026), were independent predictors of long-term survival at Cox multivariate analysis. In another model, increasing age (p = 0.013), lower BMI (p = 0.02), chronic bronchitis (p = 0.03), lower FEV1% (p = 0.00019), higher GOLD class of COPD (p = 0.0079), and pathological stage (p = 0.000024), were identified as independent risk factors. CONCLUSIONS: Very-long-term survivals could be achieved after surgery of NSCLC, and factors classically predicting 5- and 10-years survival also determined longer outcomes suggesting that both initial tumor aggressiveness and host's characteristics act beyond the period usually taken into account in oncology.

Long-term survival of glioblastoma: A systematic analysis of literature about a case.

INTRODUCTION: In spite of the changes for the treatment of glioblastoma since 2005, we have not seen differences between long-survival patients of more than 10 years showing a value minor than 1%. MATERIAL AND METHOD: We realize a systematic analysis and identify important factors for long survivor patients. We also show an own case with more of 20 years of survival. We make a new pathological study of the old paraffin block of this patient. RESULTS: The most important variable associated with long-survival between all multivariant studies is the age. When we try to find genetic and molecular alterations in glioblastoma associated with prolongated survival, the MGMT promoter methylation play the most important role. We find a correct diagnosis in the current analysis of our patient's sample with very long survival. CONCLUSIONS: Multiple variables are found that affect long survival of glioblastoma series but analyzed studies are very heterogeneous and it is very difficult comparation between them. Most articles we review are obtained from databases of different countries with hundreds of patients. It would be very interesting to promote the use of a single database in Spain that allows us to study these long-term glioblastoma survivors.

Over ten years overall survival in glioblastoma: A different disease?

PURPOSE: The reasons why a specific subset of glioblastoma (GBM) patients survive longer than others is still unclear. This study analyzed a cohort of long-term and very-long-term GBM survivors to determine which genetic alterations or patient's characteristics influence survival time. METHODS: We retrospectively reviewed a cohort of GBM patients treated at our institution over the last 20 years, stratifying patients in three groups: those with a survival time ≥ 36 months and < 120 months (LTS), ≥120 months (VLTS), and < 36 months, respectively. Clinical (age, sex, focality, resection degree, Karnofsky performance status), and immunohistochemical and molecular data (Ki-67 expression and multiple genes alterations) were collected. We then utilized principal component analysis, logistic regression, and Cox proportional hazard models to identify those variables associated with survival. RESULTS: Younger age at presentation (HR = 0.36, 95% CI 0.21-0.67, p = .001), and MGMT promoter [(MGMTp), methylated, HR = 0.57, CI 0.34-0.96, p = .034) were associated with higher odds of VLTS survival. The multivariate analysis showed how the combination of younger age (< 50 years), Ki-67 < 10%, and the coexistence of TERTp not mutated, MGMTp methylated, and IDH1/2 mutated in the same patient are also associated with higher odds of survival (HR = 0.10, CI 0.01-0.74, p = .025). CONCLUSIONS: We confirmed younger age at presentation and MGMTp methylation as the only independent factors associated with VLTS. The exceptional survival of our VLTS patients is probably associated with different, still understudied, gene mutations, or with the coexistence of multiple factors.