Literature DB >> 33842887

Long-term survivors of glioblastoma are a unique group of patients lacking universal characteristic features.

Chul-Kee Park1, Jeong Mo Bae2, Sung-Hye Park2.   

Abstract

Entities:  

Year:  2019        PMID: 33842887      PMCID: PMC8023190          DOI: 10.1093/noajnl/vdz056

Source DB:  PubMed          Journal:  Neurooncol Adv        ISSN: 2632-2498


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Recent reports edged closer to the secret of long-term survival in patients with glioblastoma (GBM) by analyzing comprehensive genomic and epigenomic characteristics.[1-3] It is generally accepted that there is a subset of GBM patients who live longer than 3 years and are classified as long-term survivors (LTS), and 5% to 13% survive an exceptional 5 years.[3,4] There have been many efforts to define this unusual population, combining not only various clinical and molecular features but also recent genetic and epigenetic profiles. However, no single biomarker or subclinical signature failed to predict GBM LTS perfectly, including classic genetic prognostic factors such as O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation and isocitrate dehydrogenase (IDH) mutation.[5-7] Among 600 patients with newly diagnosed GBM at Seoul National University Hospital between 2005 and 2015, 108 patients (18.0%) and 49 patients (8.2%) survived 3 and 5 years or more, respectively. The histological diagnoses were reviewed and confirmed according to the WHO 2016 classification when IDH information was available. Key information on the 108 GBM LTS is highlighted in Figure 1. Comparing GBM LTS with the other 492 patients who survived less than 3 years (GBM STS), GBM LTS had a significantly younger average age at diagnosis (mean 46.8 ± 13.8 vs 55.4 ± 13.4 years, P < .001). However, there was a broad range in age (from 20 to 81 y) among the GBM LTS patients. Similarly, there was a higher complete resection rate (71.3% vs 45.5%) and a lower biopsy rate (5.6% vs 28.2%) in the GBM LTS group compared with the GBM STS group. However, as many as 31 patients with incomplete resection or biopsy lived longer than 3 years, including two patients with biopsy who survived longer than 5 years. No differences in treatment protocol (P = .284) or sex distribution (P = .161) were identified between the GBM LTS and GBM STS groups.
Figure 1.

The clinical and genetic information of 108 long-term survivor glioblastoma patients who lived 3 years or more after initial diagnosis. Bars and lines indicate survival period and age at initial diagnosis, respectively. Status of variables is arrayed matching case by case below the graph. Postsurgical performance status is expressed in Eastern Cooperative Oncology Group (ECOG) Performance Status. Scale (https://ecog-acrin.org/resources/ecog-performance-status). Disease progression periods are marked by a filled triangle if they are available. Cases without filled triangle have no objective evidence of disease progression.

The clinical and genetic information of 108 long-term survivor glioblastoma patients who lived 3 years or more after initial diagnosis. Bars and lines indicate survival period and age at initial diagnosis, respectively. Status of variables is arrayed matching case by case below the graph. Postsurgical performance status is expressed in Eastern Cooperative Oncology Group (ECOG) Performance Status. Scale (https://ecog-acrin.org/resources/ecog-performance-status). Disease progression periods are marked by a filled triangle if they are available. Cases without filled triangle have no objective evidence of disease progression. The classic prognostic factors, such as MGMT promoter methylation and IDH mutation, were found to be significantly more prevalent in the GBM LTS group than in the GBM STS group (MGMT promoter methylation rate: 66.7% vs 38.2% [P < .001] and IDH1/2 mutation rate: 15.7% vs 6.9% [P = .001]). However, there were still 18 GBM LTS patients who harbored both an unmethylated MGMT promoter and wild-type IDH. No difference in the distribution of EGFR amplification between the GBM LTS and STS groups was observed (P = .288). Considering all these data profiles of GBM LTS and the pooled evidence from the literature, it is still difficult to simply define this extremely favorable prognostic group. The consideration of MGMT promoter methylation and IDH mutation in studying LTS GBM may have a limited role because those prognostic factors are not fully responsible for predicting this unique prognosis. Identification of the characteristics common to all GBM LTS is a great help to overcome this devastating disease. However, there is no universal characteristic feature that can explain the entire group of GBM LTS as of now. A new approach that has not been tried to investigate the topic is expected to unveil the secret explaining the unique group of GBM LTS.
  7 in total

1.  Molecular profiling of long-term survivors identifies a subgroup of glioblastoma characterized by chromosome 19/20 co-gain.

Authors:  Christoph Geisenberger; Andreas Mock; Rolf Warta; Carmen Rapp; Christian Schwager; Andrey Korshunov; Ann-Katrin Nied; David Capper; Benedikt Brors; Christine Jungk; David Jones; V Peter Collins; Koichi Ichimura; L Magnus Bäcklund; Elena Schnabel; Michel Mittelbron; Bernd Lahrmann; Siyuan Zheng; Roel G W Verhaak; Niels Grabe; Stefan M Pfister; Christian Hartmann; Andreas von Deimling; Jürgen Debus; Andreas Unterberg; Amir Abdollahi; Christel Herold-Mende
Journal:  Acta Neuropathol       Date:  2015-05-01       Impact factor: 17.088

Review 2.  CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2011-2015.

Authors:  Quinn T Ostrom; Haley Gittleman; Gabrielle Truitt; Alexander Boscia; Carol Kruchko; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2018-10-01       Impact factor: 12.300

3.  Integrated genomic analysis of survival outliers in glioblastoma.

Authors:  Sen Peng; Harshil Dhruv; Brock Armstrong; Bodour Salhia; Christophe Legendre; Jeffrey Kiefer; Julianna Parks; Selene Virk; Andrew E Sloan; Quinn T Ostrom; Jill S Barnholtz-Sloan; Nhan L Tran; Michael E Berens
Journal:  Neuro Oncol       Date:  2017-06-01       Impact factor: 12.300

4.  Molecular characterization of long-term survivors of glioblastoma using genome- and transcriptome-wide profiling.

Authors:  Guido Reifenberger; Ruthild G Weber; Vera Riehmer; Kerstin Kaulich; Edith Willscher; Henry Wirth; Jens Gietzelt; Bettina Hentschel; Manfred Westphal; Matthias Simon; Gabriele Schackert; Johannes Schramm; Jakob Matschke; Michael C Sabel; Dorothee Gramatzki; Jörg Felsberg; Christian Hartmann; Joachim P Steinbach; Uwe Schlegel; Wolfgang Wick; Bernhard Radlwimmer; Torsten Pietsch; Jörg C Tonn; Andreas von Deimling; Hans Binder; Michael Weller; Markus Loeffler
Journal:  Int J Cancer       Date:  2014-03-28       Impact factor: 7.316

5.  Molecular profiling of long-term IDH-wildtype glioblastoma survivors.

Authors:  Danielle M Burgenske; Jie Yang; Paul A Decker; Thomas M Kollmeyer; Matthew L Kosel; Ann C Mladek; Alissa A Caron; Rachael A Vaubel; Shiv K Gupta; Gaspar J Kitange; Hugues Sicotte; Ryan S Youland; Dioval Remonde; Jesse S Voss; Emily G Barr Fritcher; Kathryn L Kolsky; Cristiane M Ida; Fredric B Meyer; Daniel H Lachance; Ian J Parney; Benjamin R Kipp; Caterina Giannini; Erik P Sulman; Robert B Jenkins; Jeanette E Eckel-Passow; Jann N Sarkaria
Journal:  Neuro Oncol       Date:  2019-11-04       Impact factor: 13.029

6.  Integrative analysis of DNA methylation suggests down-regulation of oncogenic pathways and reduced somatic mutation rates in survival outliers of glioblastoma.

Authors:  Taeyoung Hwang; Dimitrios Mathios; Kerrie L McDonald; Irene Daris; Sung-Hye Park; Peter C Burger; Sojin Kim; Yun-Sik Dho; Hruban Carolyn; Chetan Bettegowda; Joo Heon Shin; Michael Lim; Chul-Kee Park
Journal:  Acta Neuropathol Commun       Date:  2019-06-03       Impact factor: 7.578

7.  Transcriptional diversity of long-term glioblastoma survivors.

Authors:  Naamit K Gerber; Anuj Goenka; Sevin Turcan; Marsha Reyngold; Vladimir Makarov; Kasthuri Kannan; Kathryn Beal; Antonio Omuro; Yoshiya Yamada; Phillip Gutin; Cameron W Brennan; Jason T Huse; Timothy A Chan
Journal:  Neuro Oncol       Date:  2014-03-23       Impact factor: 13.029

  7 in total
  1 in total

1.  Living with a central nervous system (CNS) tumor: findings on long-term survivorship from the NIH Natural History Study.

Authors:  James L Rogers; Elizabeth Vera; Alvina Acquaye; Nicole Briceno; Varna Jammula; Amanda L King; Heather Leeper; Martha M Quezado; Javier Gonzalez Alarcon; Lisa Boris; Eric Burton; Orieta Celiku; Anna Choi; Alexa Christ; Sonja Crandon; Ewa Grajkowska; Nicole Leggiero; Nicole Lollo; Marta Penas-Prado; Jennifer Reyes; Christine Siegel; Brett J Theeler; Michael Timmer; Kathleen Wall; Jing Wu; Kenneth Aldape; Mark R Gilbert; Terri S Armstrong
Journal:  Neurooncol Pract       Date:  2021-04-10
  1 in total

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