ReviewDiscover oncology2026
Emerging landscape of oncogenic signaling pathways in cervical cancer.
Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
State-of-the-art rodent models have aided researchers in the refinement of a holistic understanding of the mechanistic insights related to metastasis, which will eventually lead to the discovery of new multi-targeted therapeutic options. More recently, extraordinary breakthroughs in the genomics, proteomics and mouse modeling have significantly fostered a renaissance of cutting-edge researches on metastasis, leading to conceptually conceivable frameworks to gain insights about its molecular underpinnings. Exciting field of cervical cancer metastasis has moved to the forefront of studies in the past few decades. In this review we have set spotlight on pivotal role of TGF/SMAD, Wnt/β-catenin, AKT/mTOR and Notch signaling in cervical cancer progression. This review also provides an intriguing summary of quintessential role of ubiquitination in regulation of cervical cancer. By integration of mechanistic insights with multi-scale computational studies, basic researchers and clinicians have started to develop previously unprecedented understanding about disease aggressiveness of cervical cancer. More importantly, rational integration of multi-omics and single-cell sequencing technologies into clinical trial designs will enable researchers to gather refined scientific data for result-oriented clinical decision-making.
Identifiers
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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.