Preoperative imaging features: Are they useful tools for predicting IDH1 mutation status in gliomas Grades II-IV?

Background: It is already known that gliomas biomolecular parameters have a reliable prognostic value. However, an invasive procedure is required to determine them. Our aim was to better understand the clinical characteristics of gliomas Grades II-IV and to assess the usefulness of imaging features in magnetic resonance imaging (MRI) to predict the isocitrate dehydrogenase one (IDH1) mutation. Methods: Preoperative MRI characteristics were retrospectively reviewed and molecular diagnosis of gliomas was tested in adult patients between 2014 and 2021 in two institutions. We applied a biological criterion to divide the brain in cerebral compartments. Results: A total of 108 patients met the inclusion criteria. Contrast enhancement (CE) in MRI was significantly associated with wild-type IDH1 (IDH1-Wt) (P < 0.00002). Furthermore, the positive predictive value of CE for IDH1-Wt was of 87.1%. On the other hand, the negative predictive value of non-CE for mutated IDH1 (IDH1-Mut) was of 52.6%; 60.2% of gliomas were located in the neocortical and 24.1% in the allocortical/mesocortical telencephalon. Considering gliomas Grades II-III, 66.7% of IDH1-Mut and 28.6% of IDH1-Wt gliomas were located in the neocortex, without statistical significance. Conclusion: Our research revealed that CE is useful for predicting IDH1-Wt in gliomas. On the contrary, nonCE is not useful for predicting IDH1-Mut gliomas. Thus, the traditional concept of associating non-CE MRI with a low-grade glioma should be reviewed, as it can lead to an underestimation of the potential aggressiveness of the tumor. If this association was validated with the future prospective studies, a noninvasive tool would be available for predicting gliomas IDH1 mutation status.

Algoritmo para el diagnóstico integrado de los gliomas 2021. Nuestra experiencia / Algorithm for the integrated diagnosis of gliomas 2021. Our experience

Resumen La aplicación de las diferentes técnicas moleculares para el diagnóstico de los gliomas según la clasificación de la OMS, sigue sin estar al alcance de todos en nuestro país. Nuestro objetivo fue describir el protocolo diagnóstico desarrollado en función de los recursos disponibles, conforme con la clasificación vigente (2021). También, describir el perfil epidemiológico de los gliomas diagnosticados entre 2018-2021 en el Instituto Roffo y contrastarlo con la literatura. Se evaluó la mutación en IDH1-R132H, ATRX, el estado del 1p19q, CDKN2A, EGFR y del p53. Se incluyeron 94 pacientes, 53.2% fueron masculinos, con una edad promedio de 50.9 años. El diagnóstico más frecuente fue el de GB IDH1-no mutado (63.8%). Considerando únicamente a los gliomas grado 2 y 3, el astrocitoma difuso IDH1-Mutado/ATRX-Mutado/p53-sobreexpresado, grado 2 (11.7%) fue el más frecuente. En cuanto a su localización, el 67% de los tumores se ubicaron en el telencéfalo neocortical: 24.5% del total en el lóbulo frontal. En el 95.7% de los casos se arribó a un diagnóstico integrado concluyente siguiendo el algoritmo propuesto. Las características epidemiológicas coinciden con lo publicado en la literatura. La biología molecular nos permitió diferenciar nítidamente enfermedades que suponíamos emparentadas desde un punto de vista histológico, pero que observando su historia natural, su genética y su respuesta a tratamientos instaurados eran tumores distintos, aunque todos fueran llamados "gliomas". Los estándares internacionales no conciben su diagnóstico sin la biología molecular. No es aceptable que se siga diagnosticando únicamente con estándares histológicos. El algoritmo propuesto podría ser una alternativa viable y confiable.

Abstract The utilization of the different molecular techniques for the diagnosis of gliomas according to the WHO classification is still not available to everyone in our country. Our objective was to describe the diagnostic algorithm devel oped based on available resources, in accordance with the current classification (2021). Also, to describe the epidemiological profile of gliomas diagnosed between 2018-2021 at the Roffo Institute and compare it with the international literature. IDH1-R132H and ATRX mutation, as well as 1p19q status, CDKN2A, EGFR, and p53 were evaluated. 94 patients were included, 53.2% were male, with a mean age of 50.9 years. The most frequent diagnosis was GB IDH1-wild type (63.8%). Considering only grade 2 and 3 gliomas, diffuse astrocytoma IDH1- Mutated / ATRX-Mutated / p53-overexpressed, grade 2 (11.7%) was the most frequent diagnosis. Regarding their location, 67% of the tumors were located in the neocortical telencephalon: 24.5% of the total in the frontal lobe. In 95.7% of cases, a conclusive integrated diagnosis was reached following the proposed algorithm. The epidemiological characteristics coincide with what has been published in the literature. Molecular biology allowed us to clearly differentiate pathologies that we assumed were related from a histological point of view, but which, observing their natural history, their genetics and their response to established treatments were different tumors, although they were all called "gliomas". International standards do not conceive CNS tumor diagnosis without molecular biology. It is not acceptable to continue to diagnose only with histological standards. The proposed algorithm could be a viable and reliable alternative.

[Algorithm for the integrated diagnosis of gliomas 2021. Our experience]. / Algoritmo para el diagnóstico integrado de los gliomas 2021. Nuestra experiencia.

The utilization of the different molecular techniques for the diagnosis of gliomas according to the WHO classification is still not available to everyone in our country. Our objective was to describe the diagnostic algorithm developed based on available resources, in accordance with the current classification (2021). Also, to describe the epidemiological profile of gliomas diagnosed between 2018-2021 at the Roffo Institute and compare it with the international literature. IDH1-R132H and ATRX mutation, as well as 1p19q status, CDKN2A, EGFR, and p53 were evaluated. 94 patients were included, 53.2% were male, with a mean age of 50.9 years. The most frequent diagnosis was GB IDH1-wild type (63.8%). Considering only grade 2 and 3 gliomas, diffuse astrocytoma IDH1-Mutated / ATRX-Mutated / p53-overexpressed, grade 2 (11.7%) was the most frequent diagnosis. Regarding their location, 67% of the tumors were located in the neocortical telencephalon: 24.5% of the total in the frontal lobe. In 95.7% of cases, a conclusive integrated diagnosis was reached following the proposed algorithm. The epidemiological characteristics coincide with what has been published in the literature. Molecular biology allowed us to clearly differentiate pathologies that we assumed were related from a histological point of view, but which, observing their natural history, their genetics and their response to established treatments were different tumors, although they were all called "gliomas". International standards do not conceive CNS tumor diagnosis without molecular biology. It is not acceptable to continue to diagnose only with histological standards. The proposed algorithm could be a viable and reliable alternative.

La aplicación de las diferentes técnicas moleculares para el diagnóstico de los gliomas según la clasificación de la OMS, sigue sin estar al alcance de todos en nuestro país. Nuestro objetivo fue describir el protocolo diagnóstico desarrollado en función de los recursos disponibles, conforme con la clasificación vigente (2021). También, describir el perfil epidemiológico de los gliomas diagnosticados entre 2018-2021 en el Instituto Roffo y contrastarlo con la literatura. Se evaluó la mutación en IDH1-R132H, ATRX, el estado del 1p19q, CDKN2A, EGFR y del p53. Se incluyeron 94 pacientes, 53.2% fueron masculinos, con una edad promedio de 50.9 años. El diagnóstico más frecuente fue el de GB IDH1-no mutado (63.8%). Considerando únicamente a los gliomas grado 2 y 3, el astrocitoma difuso IDH1-Mutado/ATRX-Mutado/p53-sobreexpresado, grado 2 (11.7%) fue el más frecuente. En cuanto a su localización, el 67% de los tumores se ubicaron en el telencéfalo neocortical: 24.5% del total en el lóbulo frontal. En el 95.7% de los casos se arribó a un diagnóstico integrado concluyente siguiendo el algoritmo propuesto. Las características epidemiológicas coinciden con lo publicado en la literatura. La biología molecular nos permitió diferenciar nítidamente enfermedades que suponíamos emparentadas desde un punto de vista histológico, pero que observando su historia natural, su genética y su respuesta a tratamientos instaurados eran tumores distintos, aunque todos fueran llamados "gliomas". Los estándares internacionales no conciben su diagnóstico sin la biología molecular. No es aceptable que se siga diagnosticando únicamente con estándares histológicos. El algoritmo propuesto podría ser una alternativa viable y confiable.

Potential of IDH mutations as immunotherapeutic targets in gliomas: a review and meta-analysis.

INTRODUCTION: Gliomas are stratified by the presence of a hotspot mutation in the enzyme isocitrate dehydrogenase genes (IDH1/2). While mutated IDH (mIDH) correlates with better prognosis, the role of this mutation in antitumor immunity and the response to immunotherapy is not completely understood. Understanding the relationship between the genetic features of these tumors and the tumor immune microenvironment (TIME) may help to develop appropriate therapeutic strategies. AREAS COVERED: In this review we discussed the available literature related to the potential role of IDH mutations as an immunotherapeutic target in gliomas and profiled the immune transcriptome of glioma biopsies. We aimed to shed light on the role of mIDH on the immunological landscape of the different subtypes of gliomas, taking into account the most recent WHO classification of tumors of the central nervous system (CNS). We also discussed different immunotherapeutic approaches to target mIDH tumors and to overcome their immunosuppressive microenvironment. EXPERT OPINION: Data presented here indicates that the TIME not only differs in association with IDH mutation status, but also within glioma subtypes, suggesting that the cellular context affects the overall effect of this genetic lesion. Thus, specific therapeutic combinations may help patients diagnosed with different glioma subtypes.

Effects of time to chemoradiation on high-grade gliomas from the Buenos Aires Metropolitan Area.

High-Grade Gliomas (HGG) are the most frequent brain tumor in adults. The gold standard of clinical care recommends beginning chemoradiation within 6 weeks of surgery. Disparities in access to healthcare in Argentina are notorious, often leading to treatment delays. We conducted this retrospective study to evaluate if time to chemoradiation after surgery is correlated with progression-free survival (PFS). Our study included clinical cases with a histological diagnosis of Glioblastoma (GBM), Anaplastic Astrocytoma (AA) or High-Grade Glioma (HGG) in patients over 18 years of age from 2014 to 2020. We collected data on clinical presentation, type of resection, time to surgery, time to chemoradiation, location within the Buenos Aires Metropolitan Area (BAMA) and type of health insurance. We found 63 patients that fit our inclusion criteria, including 26 (41.3%) females and 37 (58.7%) males. Their median age was 54 years old (19-86). Maximal safe resection was achieved in 49.2% (n = 31) of the patients, incomplete resection in 34.9% (n = 22) and the other 15.9% (n = 10) received a biopsy, but no resection. The type of health care insurance was almost evenly divided, with 55.6% (n = 35) of the patients having public vs. 44.4% (n = 28) having private health insurance. Median time to chemoradiation after surgery was 8 (CI 6.68-9.9) weeks for the global population. When we ordered the patients PFS by time to chemoradiation we found that there was a statistically significant effect of time to chemoradiation on patient PFS. Patients had a PFS of 10 months (p = 0.014) (CI 6.89-13.10) when they received chemoradiation <5 weeks vs a PFS of 7 months (CI 4.93-9.06) when they received chemoradiation between 5 to 8 weeks and a PFS of 4 months (CI 3.76-4.26 HR 2.18 p = 0.006) when they received chemoradiation >8 weeks after surgery. Also, our univariate and multivariate analysis found that temporal lobe location (p = 0.03), GMB histology (p = 0.02) and biopsy as surgical intervention (p = 0.02) all had a statistically significant effect on patient PFS. Thus, time to chemoradiation is an important factor in patient PFS. Our data show that although an increase in HGG severity contributes to a decrease in patient PFS, there is also a large effect of time to chemoradiation. Our results suggest that we can improve patient PFS by making access to healthcare in Buenos Aires more equitable by reducing the average time to chemoradiation following tumor resection.

El análisis inmunohistoquímico para el diagnóstico del tumor fibroso solitario/hemangiopericitoma / Immunohistochemical analysis for the diagnosis of solitary fibrous tumor/hemangiopericytoma

Resumen El tumor fibroso solitario/ hemangiopericitoma (TFS/HP) es un tumor extraaxial de origen mesenquimático de infrecuente observación, que usualmente se confunde con el meningioma, del cual puede ser clínica y radiológicamente indistinguible. El análisis molecular con la detección de la expresión nuclear STAT6 (signal transducer and activator of transcription 6) o la fusión NAB2-STAT6 (NGFI-A binding protein 2) es recomendable para confirmar el diagnóstico. Presentamos 3 casos clínicos, 2 mujeres y 1 varón, con diagnóstico anatomopatológico de meningioma meningotelial en el primer caso; y los casos 2 y 3 con sospecha radiológica de meningioma. La revisión anatomopatológica con estudio molecular permitió certificar el diagnóstico de TFS/ HP. Para el diagnóstico diferencial entre TFS/HP meníngeo y meningioma, se recomienda buscar la expresión de STAT6 como primer paso o la fusión NAB2-STAT6. La revisión de las muestras de biopsia debe estar garantizada en todos los pacientes, inclusive en aquellas que fueron estudiadas en Servicios de Patología Nivel 3.

Abstract The solitary fibrous tumor/ hemangiopericytoma (TFS/HP) is a rare mesenchymal extraaxial tumour. TFS/HP can sometimes be difficult to distinguish from other extra-axial tumors like meningioma, which can be clinically and radiologically indistinguishable. Molecular analysis with STAT6 (signal transducer and activator of transcription 6) nuclear expression or NAB2-STAT6 (NGFI-A binding protein 2) fusion is recommended to confirm the diagnosis. We present 3 cases, 2 women and 1 male, with pathological diagnosis of meningothelial meningioma in the first case; cases 2 and 3 with radiological suspicion of meningioma. The pathological review with molecular study certified the diagnosis of TFS/HP. For differential diagnosis between meningeal TFS/HP and meningioma, it is recommended to look for STAT6 expression as a first step, or NAB2-STAT6 fusion in order to confirm TFS/HP. The review of biopsy samples must be guaranteed in all patients, including those who were studied in Pathology Services Level 3.

[Immunohistochemical analysis for the diagnosis of solitary fibrous tumor/ hemangiopericytoma]. / El análisis inmunohistoquímico para el diagnóstico del tumor fibroso solitario/ hemangiopericitoma.

The solitary fibrous tumor/ hemangiopericytoma (TFS/HP) is a rare mesenchymal extraaxial tumour. TFS/HP can sometimes be difficult to distinguish from other extra-axial tumors like meningioma, which can be clinically and radiologically indistinguishable. Molecular analysis with STAT6 (signal transducer and activator of transcription 6) nuclear expression or NAB2-STAT6 (NGFI-A binding protein 2) fusion is recommended to confirm the diagnosis. We present 3 cases, 2 women and 1 male, with pathological diagnosis of meningothelial meningioma in the first case; cases 2 and 3 with radiological suspicion of meningioma. The pathological review with molecular study certified the diagnosis of TFS/HP. For differential diagnosis between meningeal TFS/HP and meningioma, it is recommended to look for STAT6 expression as a first step, or NAB2-STAT6 fusion in order to confirm TFS/HP. The review of biopsy samples must be guaranteed in all patients, including those who were studied in Pathology Services Level 3.

El tumor fibroso solitario/ hemangiopericitoma (TFS/HP) es un tumor extraaxial de origen mesenquimático de infrecuente observación, que usualmente se confunde con el meningioma, del cual puede ser clínica y radiológicamente indistinguible. El análisis molecular con la detección de la expresión nuclear STAT6 (signal transducer and activator of transcription 6) o la fusión NAB2-STAT6 (NGFI-A binding protein 2) es recomendable para confirmar el diagnóstico. Presentamos 3 casos clínicos, 2 mujeres y 1 varón, con diagnóstico anatomopatológico de meningioma meningotelial en el primer caso; y los casos 2 y 3 con sospecha radiológica de meningioma. La revisión anatomopatológica con estudio molecular permitió certificar el diagnóstico de TFS/HP. Para el diagnóstico diferencial entre TFS/HP meníngeo y meningioma, se recomienda buscar la expresión de STAT6 como primer paso o la fusión NAB2-STAT6. La revisión de las muestras de biopsia debe estar garantizada en todos los pacientes, inclusive en aquellas que fueron estudiadas en Servicios de Patología Nivel 3.

Principales biomarcadores moleculares en la caracterización de los tumores del sistema nervioso central / Main molecular biomarkers in the characterization of central nervous system tumors

La Clasificación de Tumores del Sistema Nervioso Central de la OMS 2016 incorpora biomarcadores moleculares junto a las características histológicas clásicas, en un diagnóstico integrado, con el fin de definir distintas entidades de gliomas con la mayor precisión posible. Los estudios de perfiles moleculares en el genoma han revelado las alteraciones genéticas características y los perfiles epigenéticos asociados con diferentes tipos de gliomas. Estas características moleculares pueden usarse para refinar la clasificación del glioma, mejorar la predicción de los resultados obtenidos con los tratamientos actuales y futuros en los pacientes, y como guía de un tratamiento personalizado. Asimismo, tener una aproximación pronóstica en cada paciente. Este cambio de paradigma ha modificado la forma en que se diagnostica el glioma y sus implicancias en la práctica diaria en la indicación de los diferentes tratamientos al paciente. Aquí, sintéticamente, revisamos y destacamos los biomarcadores moleculares clínicamente relevantes. Intentamos dejar plasmado cómo los avances en la genética molecular de los gliomas pueden promover y allanar el camino hacia la medicina de precisión en neurooncología.

The Classification of Tumors of the Central Nervous System of the WHO 2016 incorporates molecular biomarkers together with the classical histological characteristics, in an integrated diagnosis, in order to define different glioma entities with the highest possible accuracy. Studies of molecular profiles in the genome have revealed characteristic genetic alterations and epigenetic profiles associated with different types of gliomas. These molecular characteristics can be used to refine the classification of gliomas, improve the prediction of the results obtained with current and future treatments in patients and as a guide for a personalized treatment. Also, have a prognostic approach in each patient. This paradigm shift has modified the way glioma is diagnosed and its implications in daily practice in the indication of different treatments to the patient. Here, synthetically, we review and highlight clinically relevant molecular biomarkers. We try to capture how advances in the molecular genetics of gliomas can promote and pave the way to precision medicine in neuro-oncology.

Inhibition of breast tumor growth by N(G)-nitro-l-arginine methyl ester (l-NAME) is accompanied by activation of fibroblasts.

Nitric Oxide (NO) is involved in many physiological and pathological processes. It is generated by a family of NO synthases (NOS), being the inducible isoform, iNOS, responsible for higher amounts of NO. Here, we report that pharmacological inhibition of NO production by l-NAME reduces both viability and MAPK activated signalling pathways in iNOS positive human and murine cancer cell lines. In vivo, using syngeneic models, in parallel with tumor reduction induced by l-NAME, collagen deposition and α-SMA positive stromal cells are observed. This observation takes place only when tumor cells express iNOS. In vitro, l-NAME induces viability and differentiation on fibroblast. Our results reveal that NO inhibition contributes to stimulate proliferation and activation of fibroblasts in parallel with tumor reduction of iNOS positive breast cancer.