ReviewHereditas2026
Cellular plasticity and heterogeneity underlying therapy resistance in 3D cervical cancer models.
Review in Hereditas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Despite the success of prophylactic vaccination and screening programs, cervical cancer remains a major cause of cancer-related morbidity and mortality worldwide, particularly in low- and middle-income countries. In cervical cancer, therapeutic resistance cannot be explained by viral status alone and instead reflects broader tissue level and microenvironmental determinants. Increasing clinical and experimental evidence indicates that these processes are driven by dynamic cellular plasticity and microenvironmental adaptation rather than fixed genetic alterations alone. Three-dimensional (3D) model systems, including multicellular spheroids and patient-derived organoids, have transformed the study of cervical cancer by preserving tissue architecture, epithelial hierarchy, and spatial gradients of oxygen, nutrients, and signaling cues that are lost in conventional two-dimensional cultures. These models reveal how hypoxia, metabolic reprogramming, extracellular matrix interactions, and immune modulation converge to promote reversible, stress-tolerant cell states with stem-like features. In particular, 3D systems uncover hypoxia-associated redox adaptation, enhanced DNA damage repair capacity, and sustained viral oncogene expression within spatially defined niches that exhibit reduced sensitivity to cisplatin and radiotherapy. Here, we synthesize current advances in 3D cervical cancer modeling to illustrate how these platforms enable direct observation of resistance mechanisms that remain inaccessible in 2D systems. We discuss how organoids and advanced 3D culture systems provide mechanistic insight into plasticity programs operating in HPV-associated cervical cancer, tumor microenvironment remodeling, and the emergence of therapy-resistant states, while offering improved translational relevance for drug testing. Collectively, this review positions 3D cell culture models as a key tool for dissecting the dynamic biology of cervical cancer resistance and for guiding the rational design of therapeutic strategies aimed at preventing relapse.
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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.