ReviewOncology reports2026
Cancer signaling networks in tumor progression and drug resistance: Crosstalk, adaptive reprogramming and therapeutic targeting (Review).
Review in Oncology reports, 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer signaling networks, highly dynamic with interconnected systems, regulate tumor initiation, its progression, therapeutic response and drug resistance. Rather than functioning as isolated pathways, these networks integrate extracellular and intracellular signals through coordinated interactions among membrane receptors, intracellular transducers and downstream effectors. Increasing evidence suggests that pathway crosstalk, feedback regulation and adaptive reprogramming are central to tumor phenotypic plasticity, microenvironmental adaptation and resistance to therapy. In this review, the core architecture of cancer signaling networks and the major oncogenic pathways embedded within them were summarized with a particular focus on PI3K/Akt/mTOR, MAPK/ERK and Wnt/β‑catenin signaling. The dynamic network properties that shape cancer behavior, including compensatory activation, context‑dependent signaling outputs and interactions with the tumor microenvironment, were further discussed. These features provide insights into why single‑pathway inhibition often produces only a limited and transient clinical benefit. Importantly, a network‑level understanding of cancer signaling has major translational implications. Therapeutic resistance frequently arises through pathway reactivation, bypass signaling and adaptive reprogramming, necessitating rational combination strategies and multi‑target interventions. Advances in multi‑omics, single‑cell and spatial technologies and computational modeling are crucial for characterizing signaling network dynamics and identifying clinically relevant vulnerabilities.
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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 Socratic graph.