Evidence map›Paper›PMID 31187466›Full record

ArticlePathology oncology research : POR2020

Inhibition of Metabolic Shift can Decrease Therapy Resistance in Human High-Grade Glioma Cells.

Gábor Petővári, Titanilla Dankó, Ildikó Krencz, Zoltán Hujber, Hajnalka Rajnai, Enikő Vetlényi, Regina Raffay, Judit Pápay, András Jeney, Anna Sebestyén

Open access · hybridAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. mTOR hyperactivity andPathology oncology research : POR · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Critical role of HOX transcript antisense intergenic RNA (HOTAIR) in gliomas.Journal of molecular medicine (Berlin, Germany) · 2020
    Review
  13. Article
  14. Article
  15. 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

10 authors at 1 institution in 1 country.

Gábor Petővári1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Titanilla Dankó1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Ildikó Krencz1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Zoltán Hujber1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Hajnalka Rajnai1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Enikő Vetlényi1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Regina Raffay1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Judit Pápay1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
András Jeney1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary.
Anna Sebestyén1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, H-1085, Hungary. anna@korb1.sote.hu.
Semmelweis University · HU

Funding

Higher Education Excellence Program at Semmelweis University FKIPHungarian Academy of Sciences MTA DSc FellowHungarian National Talent and National Excellence Programs, New National Excellence Program of the Ministry of Human Capacities ÚNKP-18-3National Research, Development and Innovation Office NKFI-FK-128404The Hungarian National Research, Development and Innovation Office (NKFIH) NVKP_16-1-2016-0004The Ministry of Human Capacities of Hungary EFOP-3.6.3-VEKOP-16-2017-00009
6 · The paper itself

Abstract

The high-grade brain malignancy, glioblastoma multiforme (GBM), is one of the most aggressive tumours in central nervous system. The developing resistance against recent therapies and the recurrence rate of GBMs are extremely high. In spite several new ongoing trials, GBM therapies could not significantly increase the survival rate of the patients as significantly. The presence of inter- and intra-tumoral heterogeneity of GBMs arise the problem to find both the pre-existing potential resistant clones and the cellular processes which promote the adaptation mechanisms such as multidrug resistance, stem cell-ness or metabolic alterations, etc. In our work, the in situ metabolic heterogeneity of high-grade human glioblastoma cases were analysed by immunohistochemistry using tissue-microarray. The potential importance of the detected metabolic heterogeneity was tested in three glioma cell lines (grade III-IV) using protein expression analyses (Western blot and WES Simple) and therapeutic drug (temozolomide), metabolic inhibitor treatments (including glutaminase inhibitor) to compare the effects of rapamycin (RAPA) and glutaminase inhibitor combinations in vitro (Alamar Blue and SRB tests). The importance of individual differences and metabolic alterations were observed in mono-therapeutic failures, especially the enhanced Rictor expressions after different mono-treatments in correlation to lower sensitivity (temozolomide, doxycycline, etomoxir, BPTES). RAPA combinations with other metabolic inhibitors were the best strategies except for RAPA+glutaminase inhibitor. These observations underline the importance of multi-targeting metabolic pathways. Finally, our data suggest that the detected metabolic heterogeneity (the high mTORC2 complex activity, enhanced expression of Rictor, p-Akt, p-S6, CPT1A, and LDHA enzymes in glioma cases) and the microenvironmental or treatment induced metabolic shift can be potential targets in combination therapy. Therefore, it should be considered to map tissue heterogeneity and alterations with several cellular metabolism markers in biopsy materials after applying recently available or new treatments.

Indexed as

Brain NeoplasmsCell Line, TumorCell ProliferationDrug Resistance, NeoplasmDrug SynergismEnzyme InhibitorsGlioblastomaGliomaHumansMetabolic Networks and PathwaysTemozolomideEnzyme InhibitorsTemozolomideCombination therapyGliomaMetabolic shiftMetabolismmTORC2

Identifiers

PMID31187466
PMCPMC7109188
OpenAlexW2953092095

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.