Evidence map›Paper›PMID 33071274›Full record

Observational studyNeurologia medico-chirurgica2020

Molecular Features and Prognostic Factors of Pleomorphic Xanthoastrocytoma: A Collaborative Investigation of the Tohoku Brain Tumor Study Group.

Takahiro Ono, Toshio Sasajima, Hiroaki Shimizu, Manabu Natsumeda, Masayuki Kanamori, Kenichiro Asano, Takaaki Beppu, Kenichiro Matsuda, Masahiro Ichikawa, Yukihiko Fujii and 10 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Neurologia medico-chirurgica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Takahiro OnoDepartment of Neurosurgery, Akita University Graduate School of Medicine.
Toshio SasajimaDepartment of Neurosurgery, Akita University Graduate School of Medicine.
Hiroaki ShimizuDepartment of Neurosurgery, Akita University Graduate School of Medicine.
Manabu NatsumedaDepartment of Neurosurgery, Brain Research Institute, Niigata University.
Masayuki KanamoriDepartment of Neurosurgery, Tohoku University Graduate School of Medicine.
Kenichiro AsanoDepartment of Neurosurgery, Hirosaki University Graduate School of Medicine.
Takaaki BeppuDepartment of Neurosurgery, Iwate Medical University.
Kenichiro MatsudaDepartment of Neurosurgery, Faculty of Medicine, Yamagata University.
Masahiro IchikawaDepartment of Neurosurgery, Fukushima Medical University.
Yukihiko FujiiDepartment of Neurosurgery, Brain Research Institute, Niigata University.
Hiroki OhkumaDepartment of Neurosurgery, Hirosaki University Graduate School of Medicine.
Kuniaki OgasawaraDepartment of Neurosurgery, Iwate Medical University.
Yukihiko SonodaDepartment of Neurosurgery, Faculty of Medicine, Yamagata University.
Kiyoshi SaitoDepartment of Neurosurgery, Fukushima Medical University.
Sumihito NobusawaDepartment of Human Pathology, Gunma University Graduate School of Medicine.
Yoichi NakazatoDepartment of Pathology, Hidaka Hospital.
Chifumi KitanakaDepartment of Molecular Cancer Science, Yamagata University School of Medicine.
Takamasa KayamaDepartment of Advanced Medicine, Faculty of Medicine, Yamagata University.
Teiji TominagaDepartment of Neurosurgery, Tohoku University Graduate School of Medicine.
Tohoku Brain Tumor Study GroupDepartment of Neurosurgery, Faculty of Medicine, Yamagata University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleomorphic xanthoastrocytoma (PXA) is a rare glial tumor, however, its histological differentiation from high-grade gliomas is often difficult. Molecular characteristics may contribute to a better diagnostic discrimination. Prognostic factors of PXA are also important but few relevant reports have been published. This study investigated the molecular features and prognostic factors of PXAs. Seven university hospitals participated in this study by providing retrospective clinical data and tumor samples of PXA cases between 1993 and 2014. Tumor samples were analyzed for immunohistochemical (IHC) neuronal and glial markers along with Ki67. The status of the BRAF and TERT promoter (TERTp) mutation was also evaluated using the same samples, followed by feature extraction of PXA and survival analyses. In all, 19 primary cases (17 PXA and 2 anaplastic PXA) were included. IHC examination revealed the stable staining of nestin and the close association of synaptophysin to NFP. Of the PXA cases, 57% had the BRAF mutation and only 7% had the TERTp mutation. On univariate analysis, age (≥60 years), preoperative Karnofsky performance status (KPS) (≤80%), and marked peritumoral edema were significantly associated with progression-free survival (PFS). No independent factor was indicated by the multivariate analysis. In conclusion, PXA was characterized by positive nestin staining and a few TERTp mutations. The neuronal differential marker and BRAF status may help in diagnosis. Patient age, preoperative KPS, and marked perifocal edema were associated with PFS. The present study is limited because of small number of cases and its retrospective nature. Further clinical study is needed.

Indexed as

AdolescentAdultAgedAge FactorsAstrocytomaBrain NeoplasmsChildFemaleHumansJapanMaleMiddle AgedMutationNestinPrognosisProto-Oncogene Proteins B-rafBRAF protein, humanNES protein, humanNestinProto-Oncogene Proteins B-rafTelomeraseTERT protein, humandifferential diagnosisneuronal differentiationpleomorphic xanthoastrocytomaprognostic factorsTERT promoter mutation

Identifiers

PMID33071274
PMCPMC7788268

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.