Evidence map›Paper›PMID 41716996›Full record

ArticleiScience2026

NF-κB and STAT3 signaling uniquely stratify survival in female glioblastoma patients.

Jason P Wong, Lorida Llaci, Lloyd Tripp, Myung Sik Jeon, Lihua Yang, Nicholas Reinhold, Nicole M Warrington, Jingqin Luo, Robi D Mitra, Joshua B Rubin

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. STAT3 signaling inhibitors for cancer treatment.Trends in pharmacological sciences · 2026
    Review
  2. 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.

Jason P WongDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lorida LlaciDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lloyd TrippDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Myung Sik JeonDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lihua YangDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Nicholas ReinholdDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Nicole M WarringtonDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Jingqin LuoDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
Robi D MitraDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Joshua B RubinDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA.

Funding

INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
NHGRI NIH HHS T32 HG000045
6 · The paper itself

Abstract

The mechanisms underlying sex differences in glioblastoma (GBM) incidence, treatment response, and survival are not well understood. Increased activation of nuclear factor-kappa B (NF-κB) and signal transducer and activator of transcription 3 (STAT3) signaling is associated with shorter survival in GBM. We looked at the expression of NF-κB- or STAT3-related genes in GBM for evidence of a sex skew in activity. Survival analysis of male and female GBM patients revealed that NF-κB- or STAT3-related gene expression was correlated with shorter survival only in female patients. We further explored mechanisms of this sex effect in an established murine model of sex differences in GBM. Concordant with human data, female murine GBM cells expressed stronger signatures of NF-κB and STAT3 genes and exhibited stronger responses to pathway stimulation and inhibition than their male counterparts. This study illustrates the advantage of sex-stratified data analysis in the development of sex-informed treatments for greater precision in cancer treatments.

Indexed as

cancerhealth disparity

Identifiers

PMID41716996
PMCPMC12914307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.