Evidence map›Paper›PMID 25870799›Full record

ReviewTranslational lung cancer research2015

Phosphatidylinositol 3-kinase-AKT-mammalian target of rapamycin (PI3K-Akt-mTOR) signaling pathway in non-small cell lung cancer.

Po Yee Yip

Registry-linked trialAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07486648 (The Safety and Efficacy of Osimertinib Plus Capivasertib in EGFRm Advanced Non-small Cell Lung Cancer), which is not on this map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–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.

NCT07486648 phase1 / phase2not yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Safety and Efficacy of Osimertinib Plus Capivasertib in EGFRm Advanced Non-small Cell Lung Cancer (NSCLC) Participants With PIK3CA/AKT1/PTEN Alterations Who Had Progressed on First-line Osimertinib Monotherapy or Plus Chemotherapy: a First-in-human, Phase Ib/Ⅱa Study (PRECISION)

TypeinterventionalSponsorShanxi Province Cancer HospitalRan2026 to 2028Enrolled53ConditionsLung Cancer (NSCLC), Lung Cancer (Non-Small Cell), Advanced Non-small-cell Lung CancerArmsCapivasertib in combination with Osimertinib
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. International journal of molecular sciences · 2025
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  14. Advanced biomedical research · 2025
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30 more citing papers are in PubMed but not listed here.

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.

Po Yee Yip1 Department of Medical Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia ; 2 Department of Medical Oncology, Macarthur Cancer Therapy Centre, Campbelltown, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is a devastating disease with poor prognosis. Systemic chemotherapy has been the mainstay of treatment in advanced disease for many decades. Personalized targeted therapy such as epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs) and crizotinib has significantly changed the treatment paradigm in NSCLC. The future success of development of molecular targeted therapy relies on the understanding of signal transduction pathways. The PI3K-Akt-mTOR pathway is commonly deregulated in human malignancy including NSCLC. Therefore, this pathway is a target for many therapeutic developments. This review will provide an overview of PI3K-Akt-mTOR signaling pathway, genetic alterations activating the pathway and clinical therapeutic development of pathway inhibitors.

Indexed as

non-small cell lung cancer (NSCLC)PI3K-Akt-mTOR pathway

Identifiers

PMID25870799
PMCPMC4384220

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.