Evidence map›Paper›PMID 41258151›Full record

ArticleScientific reports2025

Network centric identification of PI3K/Akt hub proteins as key oncogenic drivers and therapeutic targets.

Emad Fadhal

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Article
  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

1 author.

Emad FadhalDepartment of Mathematics & Statistics, College of Science, King Faisal University, P. O. Box 400, Al-Ahsa, 31982, Saudi Arabia. efadhal@kfu.edu.sa.

Funding

This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (KFU 252593). KFU 252593
6 · The paper itself

Abstract

The PI3K/Akt pathway plays a central role in cancer progression by regulating cell proliferation, survival, and metabolism. Dysregulation of this pathway, often due to mutations in genes such as PIK3CA, PTPN11, EGFR, and AKT1, contributes to tumorigenesis and therapy resistance. Using a network metric space approach, we systematically analyzed the human protein-protein interaction network to identify key hub proteins. Our findings suggest that signaling proteins dominate the PI3K/Akt pathway (100%), with significant overlaps in MAPK cascades (29.1%) and essential oncogenic drivers (70.8%), indicating potential co-targeting strategies to overcome resistance. Functional enrichment analysis highlights the therapeutic relevance of these hubs, while 5.8% of identified proteins are oncogenes, reinforcing their candidacy for therapies. This study provides a systematic, network-based framework for identifying and prioritizing hub proteins in the PI3K/Akt pathway, with potential implications for rational multi-target drug design in precision oncology.

Indexed as

NeoplasmsOncogenesPhosphatidylinositol 3-KinasesProtein Interaction MapsProto-Oncogene Proteins c-aktHumansMolecular Targeted TherapySignal TransductionPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktCancer progressionOncogenic signalingPI3K/Akt pathwayTherapeutic targets

Identifiers

PMID41258151
PMCPMC12630906

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.