Organoids in Dynamic Culture: Microfluidics and 3D Printing Technologies DOI
Xin Su, Mingqi Wang,

Ruqiang Yuan

et al.

ACS Biomaterials Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

With the rapid advancement of biomaterials and tissue engineering technologies, organoid research its applications have made significant strides. Organoids are increasingly utilized in pharmacology, regenerative medicine, precision clinical medicine. Current trends moving toward multifunctional composite three-dimensional cultivation dynamic strategies. Key technologies driving this evolution, including 3D printing microfluidics, continue to impact new areas discovery relevance. This review provides a systematic overview these emerging trends, discussing strengths limitations critical offering insight directions for professionals working field.

Language: Английский

3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor‐on‐a‐Chip DOI Creative Commons
Wenxiu Li, Zhihang Zhou, Xiaoyu Zhou

et al.

Advanced Healthcare Materials, Journal Year: 2023, Volume and Issue: 12(18)

Published: March 14, 2023

Abstract Decades of efforts in engineering vitro cancer models have advanced drug discovery and the insight into biology. However, establishment preclinical that enable fully recapitulating tumor microenvironment remains challenging owing to its intrinsic complexity. Recent progress techniques has allowed development a new generation can recreate complex vivo microenvironments accurately predict responses, including spheroids, organoids, tumor‐on‐a‐chip. These biomimetic 3D are particular interest as they pave way for better understanding biology accelerating anticancer therapeutics with reducing animal use. Here, recent advances developing these platforms modeling screening, focusing on incorporating hydrogels reviewed reconstitute physiologically relevant microenvironments. The combination spheroids/organoids microfluidic technologies is also highlighted mimic tumors discuss challenges future directions clinical translation such screening personalized medicine.

Language: Английский

Citations

52
Predictive, preventive, and personalized medicine in breast cancer: targeting the PI3K pathway DOI Creative Commons
Muhammad Tufail,

Jia-Ju Hu,

Jie Liang

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Jan. 3, 2024

Abstract Breast cancer (BC) is a multifaceted disease characterized by distinct molecular subtypes and varying responses to treatment. In BC, the phosphatidylinositol 3-kinase (PI3K) pathway has emerged as crucial contributor development, advancement, resistance This review article explores implications of PI3K in predictive, preventive, personalized medicine for BC. It emphasizes identification predictive biomarkers, such PIK3CA mutations, utility profiling guiding treatment decisions. The also discusses potential targeting preventive strategies customization therapy based on tumor stage, subtypes, genetic alterations. Overcoming inhibitors exploring combination therapies are addressed important considerations. While this field holds promise improving patient outcomes, further research clinical trials needed validate these approaches translate them into practice. Graphical

Language: Английский

Citations

25
Alternatives of Animal Models for Biomedical Research: a Comprehensive Review of Modern Approaches DOI
Abhinav Vashishat, Preeti Patel, Ghanshyam Das Gupta

et al.

Stem Cell Reviews and Reports, Journal Year: 2024, Volume and Issue: 20(4), P. 881 - 899

Published: March 1, 2024

Language: Английский

Citations

25
Advancements in wearable sensors for cardiovascular disease detection for health monitoring DOI
Bangul Khan, Zainab Riaz, Rafi u Shan Ahmad

et al.

Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 159, P. 100804 - 100804

Published: May 21, 2024

Language: Английский

Citations

17
Enhancing drug penetration in solid tumors via nanomedicine: Evaluation models, strategies and perspectives DOI Creative Commons

Xiaoding Shen,

Dayi Pan, Qiyong Gong

et al.

Bioactive Materials, Journal Year: 2023, Volume and Issue: 32, P. 445 - 472

Published: Oct. 26, 2023

Effective tumor treatment depends on optimizing drug penetration and accumulation in tissue while minimizing systemic toxicity. Nanomedicine has emerged as a key solution that addresses the rapid clearance of free drugs, but achieving deep into solid tumors remains elusive. This review discusses various strategies to enhance penetration, including manipulation microenvironment, exploitation both external internal stimuli, pioneering nanocarrier surface engineering, development innovative tactics for active penetration. One outstanding strategy is organelle-affinitive transfer, which exploits unique properties specific cell organelles heralds potentially transformative approach transcellular transfer Rigorous models are essential evaluate efficacy these strategies. The patient-derived xenograft (PDX) model gaining traction bridge between laboratory discovery clinical application. However, journey from bench bedside nanomedicines fraught with challenges. Future efforts should prioritize deepening our understanding nanoparticle-tumor interactions, re-evaluating EPR effect, exploring novel nanoparticle transport mechanisms.

Language: Английский

Citations

40
Prediction of Patient Drug Response via 3D Bioprinted Gastric Cancer Model Utilized Patient‐Derived Tissue Laden Tissue‐Specific Bioink DOI Creative Commons
Yoo‐mi Choi,

Deukchae Na,

Goeun Yoon

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Abstract Despite significant research progress, tumor heterogeneity remains elusive, and its complexity poses a barrier to anticancer drug discovery cancer treatment. Response the same varies across patients, timing of treatment is an important factor in determining prognosis. Therefore, development patient‐specific preclinical models that can predict patient's response within short period imperative. In this study, printed gastric (pGC) model developed for chemotherapy using extrusion‐based 3D bioprinting technology tissue‐specific bioinks containing patient‐derived chunks. The pGC retained original characteristics enabled rapid evaluation 2 weeks isolation from patient. fact, it confirmed response‐related gene profile tissues co‐cultured with human fibroblasts (hGaFibro) similar patient tissues. This suggested application potentially overcome challenges associated accurate (e.g., xenografts) owing deficiency stromal cells derived Consequently, manifested remarkable similarity patients terms prognostic predictability. Hence, considered promising tool personalized precise treatments.

Language: Английский

Citations

1
Rheological Characterization and Printability of Sodium Alginate–Gelatin Hydrogel for 3D Cultures and Bioprinting DOI Creative Commons
Mohan Kumar Dey, Ram V. Devireddy

Biomimetics, Journal Year: 2025, Volume and Issue: 10(1), P. 28 - 28

Published: Jan. 4, 2025

The development of biocompatible hydrogels for 3D bioprinting is essential creating functional tissue models and advancing preclinical drug testing. This study investigates the formulation, printability, mechanical properties, biocompatibility a novel Alg-Gel hydrogel blend (alginate gelatin) use in extrusion-based bioprinting. A range compositions were evaluated their rheological behavior, including shear-thinning storage modulus, compressive which are crucial maintaining structural integrity during printing supporting cell viability. printability assessment 7% alginate-8% gelatin demonstrated that 27T tapered needle achieved highest normalized Printability Index (POInormalized = 1), offering narrowest strand width (0.56 ± 0.02 mm) accuracy (97.2%) at lowest pressure (30 psi). In contrast, 30R needle, with smallest inner diameter (0.152 (80 psi), resulted widest (0.70 0.01 (88.8%), resulting POInormalized 0.274. 30T 27R needles moderate performance, values 0.758 0.558, respectively. optimized alginate 8% favorable strength, compatibility MDA-MB-213 breast cancer cells, exhibiting high proliferation rates minimal cytotoxicity over 2-week culture period. formulation offers balanced approach, providing sufficient viscosity precision while minimizing shear stress to preserve health. work lays groundwork future advancements bioprinted models, contributing more effective tools screening personalized medicine.

Language: Английский

Citations

1
Finding a needle in a haystack: functional screening for novel targets in cancer immunology and immunotherapies DOI Creative Commons

Yi Du,

Yang Yang, Bohao Zheng

et al.

Oncogene, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 25, 2025

Genome-wide functional genetic screening has been widely used in the biomedicine field, which makes it possible to find a needle haystack at level. In cancer research, gene mutations are closely related tumor development, metastasis, and recurrence, use of state-of-the-art powerful technologies, such as clustered regularly interspaced short palindromic repeat (CRISPR), search for most critical genes or coding products provides us with new possibility further refine mapping provide possibilities treatment patients. The CRISPR refined atlas provided Immunotherapy, highly promising method, validated clinic, but could only meet needs small proportion Finding immunotherapy targets is key future immunotherapy. Here, we revisit application immunology from different perspectives, selection diverse vitro vivo models potential immune checkpoints potentiating CAR-T cells. data will offer fresh therapeutic clues

Language: Английский

Citations

1
The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments DOI Open Access
Carolina Momoli, Beatrice Costa,

L. Lenti

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(4), P. 700 - 700

Published: Feb. 19, 2025

The development of anticancer therapies has increasingly relied on advanced 3D in vitro models, which more accurately mimic the tumor microenvironment compared to traditional 2D cultures. This review describes evolution these highlighting significant advancements and their impact cancer research. We discuss integration machine learning (ML) artificial intelligence (AI) enhancing predictive power efficiency potentially reducing dependence animal testing. ML AI offer innovative approaches for analyzing complex data, optimizing experimental conditions, predicting therapeutic outcomes with higher accuracy. By leveraging technologies, next generation models could revolutionize drug development, offering effective alternatives experiments.

Language: Английский

Citations

1
Advancing cancer research through organoid technology DOI Creative Commons
Zeng Ge, Yifan Yu, Meiting Wang

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Nov. 8, 2024

The complexity of tumors and the challenges associated with treatment often stem from limitations existing models in accurately replicating authentic tumors. Recently, organoid technology has emerged as an innovative platform for tumor research. This bioengineering approach enables researchers to simulate, vitro, interactions between their microenvironment, thereby enhancing intricate interplay cells surroundings. Organoids also integrate multidimensional data, providing a novel paradigm understanding development progression while facilitating precision therapy. Furthermore, advancements imaging genetic editing techniques have significantly augmented potential organoids review explores application more precise simulations its specific contributions cancer research advancements. Additionally, we discuss evolving trends developing comprehensive utilizing technology.

Language: Английский

Citations

6