Article
Medicine, General & Internal
Zhuangzhuang Lu, Yugong Feng
Summary: Currently, there is a lack of systematic study on the role of long-chain noncoding RNAs (lncRNAs) involved in metabolism in predicting the prognosis of low-grade gliomas (LGGs). In this study, the researchers utilized the Cancer Genome Atlas (TCGA) to identify lncRNA expression profiles in LGGs and established a metabolic-related lncRNA signature that can independently predict the prognosis of LGG patients. This finding provides a new approach to improve the poor prognosis of LGG patients.
Article
Multidisciplinary Sciences
Melih Ozbek, Halil Ibrahim Toy, Yavuz Oktay, Gokhan Karakulah, Asli Suner, Athanasia Pavlopoulou
Summary: In this study, diverse computational approaches were employed to identify diagnostic and prognostic biomarkers associated with low-grade gliomas (LGG). The differential gene expression analysis and weighted gene co-expression network analysis on TCGA and GTEx data revealed co-expressed gene modules significantly correlated with LGG clinical traits. Gene co-expression and protein-protein interaction networks were further constructed, resulting in a consensus of eighteen hub genes that were up-regulated in LGG and associated with unfavorable prognosis. These findings have potential applications in diagnosing and monitoring LGG in the clinical setting.
Article
Oncology
Xiao-Ping Liu, Xiaoqing Jin, Saman Seyed Ahmadian, Xu Yang, Su-Fang Tian, Yu-Xiang Cai, Kuldeep Chawla, Antoine M. Snijders, Yankai Xia, Paul J. van Diest, William A. Weiss, Jian-Hua Mao, Zhi-Qiang Li, Hannes Vogel, Hang Chang
Summary: By developing and validating cellular morphometric subtypes (CMS), personalized diagnosis and therapy for LGG patients can be achieved. These subtypes can predict patient prognosis and treatment response based on molecular alterations and immune microenvironment, and also have translational impact on glioblastoma.
Article
Cell Biology
Yang He, Junlin Song, Yong Qin, Dejia Mao, Dacheng Ding, Shanwu Wu, Huawei Wu
Summary: The study aims to investigate the prognostic role and predictive ability of SLC10A3 for immunotherapy in LGGs. Multiple datasets analysis found that SLC10A3 mRNA was up-regulated in LGGs and correlated with tumor grade, histological type, IDH wide type, and non-codel 1p19q. Up-regulation of SLC10A3 mRNA was associated with shortened overall survival time and exhibited good predictive ability for survival outcomes among LGGs. Furthermore, SLC10A3 expression correlated well with immune check points and immune cells.
Article
Clinical Neurology
Adam Nagy, Marton Tompa, Zoltan Kraboth, Ferenc Garzuly, Alexandra Maraczi, Bernadette Kalman
Summary: The study aimed to investigate the expression levels of Wnt markers in gliomas of different grades, lineages, and molecular subtypes, revealing a correlation between Wnt pathway activity and glioma grade. Results showed a significant increase in Wnt5a expression in the astroglial subgroup, as well as an increase in Wnt3 expression in wild type IDH1 tumors.Further research is ongoing to explore the regulation of Wnt marker expression based on glioma lineage or IDH gene mutational status using more precise molecular approaches.
IDEGGYOGYASZATI SZEMLE-CLINICAL NEUROSCIENCE
(2021)
Article
Clinical Neurology
Soheila Raysi Dehcordi, Renato Galzio, Federica Marrone, Hambra Di Vitantonio, Sara Marzi, Teresa Fasano, Graziano Taddei, Daniele Millimaggi, Tonino Di Cosimo, Francesco Abbate, Giuseppe Calvisi, Carlo Masciocchi, Alessandro Ricci
Summary: This study explores the correlation between MGMT methylation status and Ki67 positivity with patient age, glioma location, and lateralization. The findings indicate a significant association between MGMT methylated status and frontal lobe glioblastomas (GBMs), as well as an association between MGMT unmethylated status and temporal lobe GBMs. Additionally, there is a predictive value for MGMT methylation status in relation to patient age and Ki67 positivity.
JOURNAL OF NEUROSURGICAL SCIENCES
(2023)
Article
Oncology
Debanjan Haldar, Anahita Fathi Kazerooni, Sherjeel Arif, Ariana Familiar, Rachel Madhogarhia, Nastaran Khalili, Sina Bagheri, Hannah Anderson, Ibraheem Salman Shaikh, Aria Mahtabfar, Meen Chul Kim, Wenxin Tu, Jefferey Ware, Arastoo Vossough, Christos Davatzikos, Phillip B. Storm, Adam Resnick, Ali Nabavizadeh
Summary: In this study, an unsupervised machine learning approach was used to classify pediatric low-grade gliomas (pLGGs) into distinct imaging-based subtypes based on radiomic features. Three subtypes were identified and were found to differ in BRAF gene mutation frequencies and expression, as well as age, tumor location, and tumor histology. This finding suggests that incorporating radiomic data can enhance our understanding and characterization of pLGGs.
Article
Gastroenterology & Hepatology
Wasay Nizam, Nadege Fackche, Bernardo Pessoa, Boateng Kubi, Jordan M. Cloyd, Travis Grotz, Keith Fournier, Sean Dineen, Jula Veerapong, Joel M. Baumgartner, Callisia Clarke, Sameer H. Patel, Gregory C. Wilson, Laura Lambert, Daniel E. Abbott, Kara A. Vande Walle, Byrne Lee, Mustafa Raoof, Shishir K. Maithel, Maria C. Russell, Mohammad Y. Zaidi, Fabian M. Johnston, Jonathan B. Greer
Summary: The study found that elevated preoperative tumor markers indicate a higher disease burden, but only an increased peritoneal carcinomatosis index was a significant predictor of progression-free survival in a multivariate model among patients with pseudomyxoma peritonei secondary to low-grade appendiceal mucinous neoplasm.
JOURNAL OF GASTROINTESTINAL SURGERY
(2022)
Article
Clinical Neurology
David Lu, Yang Li, Hanzhang Lu, Jay J. Pillai
Summary: This study developed multiple histogram-based CBF indices and evaluated their association with histopathologic grade in de novo brain tumor patients. The study also investigated the associations between these CBF indices and molecular markers, such as IDH1 mutation, ATRX loss, and 1p/19q co-deletion. The results showed that ASL MRI could provide useful noninvasive imaging assessment of brain tumor grade and molecular marker status, with specific correlations found between certain CBF indices and tumor grade, as well as molecular markers like 1p/19q co-deletion and ATRX retention.
Article
Linguistics
Elif Barbaros, Erdem Akbas
Summary: This study investigates the developmental trajectory of contrast markers (CMs) in English, revealing differences in frequency and diversity across grade levels and types of texts. The findings highlight Y6 as a crucial turning point in the developmental curve of CM usage.
Article
Neurosciences
Atul Goel, Abhidha Shah, Ravikiran Vutha, Saswat Dandpat, Akshay Hawaldar
Summary: The study evaluated the feasibility and safety of en masse tumor resection for low-grade gliomas, showing that based on the understanding of gliomas as confined tumors with a well-defined surgical dissection plane, en masse tumor resection is feasible and can improve preoperative symptoms.
Article
Clinical Neurology
Duygu Dolen, Tural Ahmadov, Ilyas Dolas, Tugrul Cem Unal, Aydin Aydoseli, Metehan Ozturk, Pulat Akin Sabanci, Yavuz Aras, Mebrure Bilge Bilgic, Altay Sencer
Summary: This study aimed to evaluate the impact of isocitrate dehydrogenase (IDH) mutation status and Ki67 percentages on the initial diagnosis and survival rates of high-grade glioma patients. The results showed that IDH mutation status plays a significant role in classifying high-grade gliomas and predicting prognosis, and it is associated with several radiological features of tumors. Additionally, the extent of resection and patient age also have a profound impact on survival. Therefore, detailing the diagnosis with molecular features can help physicians tailor targeted adjuvant therapies for better outcomes.
TURKISH NEUROSURGERY
(2022)
Article
Oncology
P. Beauchesne, V. Quillien, G. Faure, V. Bernier, G. Noel, P. Quetin, T. Gorlia, C. Carnin, R. Pedeux
INTERNATIONAL JOURNAL OF CANCER
(2016)
Review
Neurosciences
Pierre-Jean Le Reste, Tony Avril, Veronique Quillien, Xavier Morandi, Eric Chevet
Review
Neurosciences
Pierre-Jean Le Reste, Tony Avril, Veronique Quillien, Xavier Morandi, Eric Chevet
Article
Oncology
Veronique Quillien, Audrey Lavenu, Francois Ducray, Marie-Odile Joly, Olivier Chinot, Frederic Fina, Marc Sanson, Catherine Carpentier, Lucie Karayan-Tapon, Pierre Rivet, Natacha Entz-Werle, Michele Legrain, Emmanuele Lechapt Zalcman, Guenaelle Levallet, Fabienne Escande, Carole Ramirez, Dan Chiforeanu, Elodie Vauleon, Dominique Figarella-Branger
Review
Biochemistry & Molecular Biology
Joanna Obacz, Tony Avril, Pierre-Jean Le Reste, Hery Urra, Veronique Quillien, Claudio Hetz, Eric Chevet
Review
Biochemistry & Molecular Biology
Joanna Obacz, Tony Avril, Pierre-Jean Le Reste, Hery Urra, Veronique Quillien, Claudio Hetz, Eric Chevet
Article
Oncology
Jacqueline Lehmann-Che, Catherine Miquel, Jennifer Wong, Celine Callens, Etienne Rouleau, Veronique Quillien, Nicolas Lozano, Anne Cayre, Ludovic Lacroix, Ivan Bieche, Philippe Bertheau, Luis Teixeira, Frederique Penault Llorca, Pierre Jean Lamy, Patricia De Cremoux
ANTICANCER RESEARCH
(2018)
Article
Medicine, Research & Experimental
Stephanie Lhomond, Tony Avril, Nicolas Dejeans, Konstantinos Voutetakis, Dimitrios Doultsinos, Mari McMahon, Raphael Pineau, Joanna Obacz, Olga Papadodima, Florence Jouan, Heloise Bourien, Marianthi Logotheti, Gwenaele Jegou, Nestor Pallares-Lupon, Kathleen Schmit, Pierre-Jean Le Reste, Amandine Etcheverry, Jean Mosser, Kim Barroso, Elodie Vauleon, Marion Maurel, Afshin Samali, John B. Patterson, Olivier Pluquet, Claudio Hetz, Veronique Quillien, Aristotelis Chatziioannou, Eric Chevet
EMBO MOLECULAR MEDICINE
(2018)
Article
Oncology
Veronique Quillien, Audrey Lavenu, Marc Sanson, Michele Legrain, Pierre Dubus, Lucie Karayan-Tapon, Jean Mosser, Koichi Ichimura, Dominique Figarella-Branger
JOURNAL OF NEURO-ONCOLOGY
(2014)
Article
Multidisciplinary Sciences
Amandine Etcheverry, Marc Aubry, Ahmed Idbaih, Elodie Vauleon, Yannick Marie, Philippe Menei, Rachel Boniface, Dominique Figarella-Branger, Lucie Karayan-Tapon, Veronique Quillien, Marc Sanson, Marie de Tayrac, Jean-Yves Delattre, Jean Mosser
Article
Multidisciplinary Sciences
Aymeric Amelot, Patricia De Cremoux, Veronique Quillien, Marc Polivka, Homa Adle-Biassette, Jacqueline Lehmann-Che, Laurence Francoise, Antoine F. Carpentier, Bernard George, Emmanuel Mandonnet, Sebastien Froelich
Article
Oncology
Veronique Quillien, Antoine F. Carpentier, Alain Gey, Tony Avril, Eric Tartour, Floraly Sejalon, Boris Campillo-Gimenez, Elodie Vauleon
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2019)
Article
Biotechnology & Applied Microbiology
Heloise Bourien, Veronique Quillien, Florence Godey, Christophe Perrin, Fanny Le Du, Sophie Guillermet, Jerome Blanchot, Vincent Lavoue, Boris Campillo-Gimenez, Angelique Brunot, Laurence Crouzet, Thibault De la Motte Rouge, Veronique Dieras, Claudia Lefeuvre-Plesse
Summary: The study proposed the use of the EndoPredict(R) assay to determine adjuvant treatment in breast cancer patients, and found that the assay led to an increase in prescribed chemotherapy, impacting clinicians' decisions to some extent.
INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS
(2021)
Article
Oncology
Veronique Quillien, Audrey Lavenu, Francois Ducray, David Meyronet, Olivier Chinot, Frederic Fina, Marc Sanson, Catherine Carpentier, Lucie Karayan-Tapon, Pierre Rivet, Natacha Entz-Werle, Michele Legrain, Emmanuele Lechapt Zalcman, Guenaelle Levallet, Fabienne Escande, Carole Ramirez, Dan Chiforeanu, Elodie Vauleon, Dominique Figarella-Branger
Article
Oncology
Tony Avril, Amandine Etcheverry, Raphael Pineau, Joanna Obacz, Gwenaele Jegou, Florence Jouan, Pierre-Jean Le Reste, Masumeh Hatami, Rivka R. Colen, Brett L. Carlson, Paul A. Decker, Jann N. Sarkaria, Elodie Vauleon, Dan Cristian Chiforeanu, Anne Clavreul, Jean Mosser, Eric Chevet, Veronique Quillien
CLINICAL CANCER RESEARCH
(2017)