Evidence map›Paper›PMID 35441887›Full record

ArticleJournal of cancer research and clinical oncology2022

Nuclear respiratory factor 1 transcriptomic signatures as prognostic indicators of recurring aggressive mesenchymal glioblastoma and resistance to therapy in White American females.

Kaumudi Bhawe, Jayanta K Das, Changwon Yoo, Quentin Felty, Zhenghua Gong, Alok Deoraj, Juan P Liuzzi, Nasreen Z Ehtesham, Seyed E Hasnain, Varindera Paul Singh and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Kaumudi BhaweDepartment of Environmental Health Sciences, Florida International University, Miami, FL, 33199, USA.
Jayanta K DasDepartment of Environmental Health Sciences, Florida International University, Miami, FL, 33199, USA.
Changwon YooDepartment of Biostatistics, Florida International University, Miami, FL, 33199, USA.
Quentin FeltyDepartment of Environmental Health Sciences, Florida International University, Miami, FL, 33199, USA.
Zhenghua GongDepartment of Biostatistics, Florida International University, Miami, FL, 33199, USA.
Alok DeorajDepartment of Environmental Health Sciences, Florida International University, Miami, FL, 33199, USA.
Juan P LiuzziDepartment of Dietetics and Nutrition, Florida International University, Miami, FL, 33199, USA.
Nasreen Z EhteshamICMR-National Institute of Pathology, Safdarjung Hospital Campus, New Delhi, India.
Seyed E HasnainDelhi (IIT-D), Indian Institute of Technology, Sharda University, Greater Noida, Uttar Pradesh, 201310, India.
Varindera Paul SinghInstitute of Neuroscience, Medanta-The Medicity, Gurugram, Haryana, 12200, India.
Ishani MohapatraInstitute of Neuroscience, Medanta-The Medicity, Gurugram, Haryana, 12200, India.
Ricardo Jorge KomotarDepartment of Neurological Surgery, University of Miami School of Medicine, Miami, FL, USA.
Deodutta RoyDepartment of Environmental Health Sciences, Florida International University, Miami, FL, 33199, USA. droy@fiu.edu.ORCID http://orcid.org/0000-0001-6409-1341
Florida International University · USMedanta The Medicity · INSafdarjang Hospital · INSharda University · INUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe mechanisms contributing to recurrence of glioblastoma (GBM), an aggressive neuroepithelial brain tumor, remain unknown. We have recently shown that nuclear respiratory factor 1 (NRF1) is an oncogenic transcription factor and its transcriptional activity is associated with the progression and prognosis of GBM. Herein, we extend our efforts to (1) identify influential NRF1-driven gene and microRNA (miRNA) expression for the aggressiveness of mesenchymal GBM; and (2) understand the molecular basis for its poor response to therapy.

methodsClinical data and RNA-Seq from four independent GBM cohorts were analyzed by Bayesian Network Inference with Java Objects (BANJO) and Markov chain Monte Carlo (MCMC)-based gene order to identify molecular drivers of mesenchymal GBM as well as prognostic indicators of poor response to radiation and chemotherapy.

resultsWe are the first to report sex-specific NRF1 motif enriched gene signatures showing increased susceptibility to GBM. Risk estimates for GBM were increased by greater than 100-fold with the joint effect of NRF1-driven gene signatures-CDK4, DUSP6, MSH2, NRF1, and PARK7 in female GBM patients and CDK4, CASP2, H6PD, and NRF1 in male GBM patients. NRF1-driven causal Bayesian network genes were predictive of poor survival and resistance to chemoradiation in IDH1 wild-type mesenchymal GBM patients. NRF1-regulatable miRNAs were also associated with poor response to chemoradiation therapy in female IDH1 wild-type mesenchymal GBM. Stable overexpression of NRF1 reprogramed human astrocytes into neural stem cell-like cells expressing SOX2 and nestin. These cells differentiated into neurons and form tumorospheroids.

conclusionsIn summary, our novel discovery shows that NRF1-driven causal genes and miRNAs involved in cancer cell stemness and mesenchymal features contribute to cancer aggressiveness and recurrence of aggressive therapy-resistant glioblastoma.

Indexed as

Brain NeoplasmsGlioblastomaMicroRNAsNuclear Respiratory Factor 1Bayes TheoremFemaleHumansMaleNeoplasm Recurrence, LocalNeoplastic Stem CellsPrognosisTranscriptomeMicroRNAsNRF1 protein, humanNuclear Respiratory Factor 1Brain cancerCausal Bayesian networkGene network interfaceGlioblastomaMonte Carlo Markov chainNuclear respiratory factor 1Tumor recurrenceTumor resistance

Identifiers

PMID35441887
PMCPMC11800826
OpenAlexW4224272727

What OpenQuestion holds

Textmetadata
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.