Combining two strategies to improve perfusion and drug delivery in solid tumors

FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer

Conroy, T., Desseigne, F., Ychou, M., Bouché, O., Guimbaud, R., Bécouarn, Y., Adenis, A., Raoul, J.-L., Gourgou-Bourgade, S., de la Fouchardière, C., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011923 · Cited by 7,810

Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy

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Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer

Olive, K. P., Jacobetz, M. A., Davidson, C. J., Gopinathan, A., McIntyre, D., Honess, D., Madhu, B., Goldgraben, M. A., Caldwell, M. E., Allard, D., et al. (2009) · Science · doi:10.1126/science.1171362 · Cited by 3,170

Regulation of transport pathways in tumor vessels: Role of tumor type and microenvironment

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Enzymatic targeting of the stroma ablates physical barriers to treatment of pancreatic ductal adenocarcinoma

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Normalizing tumor vasculature with anti-angiogenic therapy: A new paradigm for combination therapy

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Phase III Trial of Nanoparticle Albumin-Bound Paclitaxel Compared With Polyethylated Castor Oil–Based Paclitaxel in Women With Breast Cancer

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EMT and Dissemination Precede Pancreatic Tumor Formation

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AZD2171, a Pan-VEGF Receptor Tyrosine Kinase Inhibitor, Normalizes Tumor Vasculature and Alleviates Edema in Glioblastoma Patients

Batchelor, T. T., Sorensen, A. G., di Tomaso, E., Zhang, W.-T., Duda, D. G., Cohen, K. S., Kozak, K. R., Cahill, D. P., Chen, P.-J., Zhu, M., et al. (2007) · Cancer Cell · doi:10.1016/j.ccr.2006.11.021 · Cited by 1,769

Reduced cardiotoxicity and comparable efficacy in a phase IIItrial of pegylated liposomal doxorubicin HCl(CAELYX™/Doxil®) versus conventional doxorubicin forfirst-line treatment of metastatic breast cancer

O’Brien, M. E. R., Wigler, N., Inbar, M., Rosso, R., Grischke, E., Santoro, A., Catane, R., Kieback, D., Tomczak, P., Ackland, S. P., et al. (2004) · Annals of Oncology · doi:10.1093/annonc/mdh097 · Cited by 1,739

Tumor Effect‐Site Pharmacokinetics: Mechanisms and Impact on Efficacy

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Non-invasive assessment of the spatial and temporal distributions of interstitial fluid pressure, fluid velocity and fluid flow in cancers in vivoPreprint

Islam, M. T., Tasciotti, E., & Righetti, R. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.03663 · Cited by 3

Patient-derived geometry-integrated multiphysics framework: Computational optimization of immunotherapeutic nanoparticle delivery via tumor microenvironment reprogramming in prostate cancer

Mirala, F., & Soltani, M. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111388 · Cited by 2

Computational Fluid Dynamics Simulations to Inform Cancer Therapeutics

Roncali, E., & Taebi, A. (2026) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-110824-021423 · Cited by 2

DeepONet-enhanced bayesian inference for biphasic tumor growth modeling

Sotiropoulos, G., Litvinov, S., Kaltenbach, S., Harkos, C., Atzarakis, K., Stylianopoulos, T., Koumoutsakos, P., & Papadopoulos, V. (2026) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2026.118919 · Cited by 2

Focused ultrasound for cellular mechanoactivation and nanomedicine delivery in cancer

Luo, A. C., Qian, Z., & King, M. R. (2026) · Biomedical Microdevices · doi:10.1007/s10544-026-00817-x · Cited by 2

Hyaluronidase improves the efficacy of nab-paclitaxel after prolonged angiogenesis inhibition in preclinical models for esophagogastric cancer

Liu, D., Guo, L., Waasdorp, C., Meijer, S. L., Bootsma, S., Oyarce, C., Bijlsma, M. F., & van Laarhoven, H. W. M. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117261 · Cited by 2

Engineered model of tumor microenvironment for replicating intratumoral drug delivery

Besanjideh, M., Zarei, F., Rezaeian, M., & Shamloo, A. (2025) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2025.06.023 · Cited by 2

Delivery of Cancer Nanotherapeutics

Chung, B. L., Kaplinsky, J., Langer, R., & Kamaly, N. (2018) · Bioanalysis · doi:10.1007/978-3-030-01775-0_8 · Cited by 2

Targeted delivery of nanoparticles

Rotem, R., Prosperi, D., & Colombo, M. (2020) · Frontiers of nanoscience · doi:10.1016/b978-0-08-102828-5.00010-3 · Cited by 2

The Klein–Gordon equation in mixture models of tumour growth

Caviglia, G., Morro, A., & Pinamonti, N. (2014) · Physics Letters A · doi:10.1016/j.physleta.2014.10.018 · Cited by 2

An MD-based systematic study on the mechanical characteristics of a novel hybrid CNT/graphene drug carrier

Mohebali, M., Rezapour, N., Shadmani, P., & Montazeri, A. (2020) · Journal of Molecular Modeling · doi:10.1007/s00894-020-04487-1 · Cited by 2

Delivery of radioimmunotherapy for solid tumors

Gautam, S. K., Dalal, V., Jain, M., & Batra, S. K. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85781-9.00016-6 · Cited by 2

Quantifying the impact of metronomic chemotherapy chemo-switch regimen and the sequencing of chemotherapy and radiotherapy on pancreatic ductal adenocarcinoma treatment

Wang, X., Chen, X., Zhu, J., & Li, S. (2024) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2024.112033 · Cited by 1

In-silico tool based on Boolean networks and meshless simulations for prediction of reaction and transport mechanisms in the systemic administration of chemotherapeutic drugs

Salazar, F. M. V., & Arcila, I. D. P. (2025) · PLoS ONE · doi:10.1371/journal.pone.0315194 · Cited by 1

mPEG-NH2/2-FPBA/TubA exerts anti-hepatocellular carcinoma activity by targeting ABCF1-K430la through the KDM3A-H3K9me2-HIF1A axis

Wang, X., Hong, H., Cao, W., Cheng, X., Li, L., Hu, M., Wang, J., Li, J., Ni, Q., Wang, X., et al. (2025) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2025.114941 · Cited by 1

MicroRNA-Induced Regulation of the IGF-1 System in Various Types of Cancer

Triantafyllou, G., Kategianni, M., Maridaki, M. D., Koutsilieris, M., & Philippou, Α. (2025) · Genes · doi:10.3390/genes16101135 · Cited by 1

Feasibility and efficacy of electromotive intraperitoneal drug delivery: A hybrid study

Saeed, N., Salavati, H., Min, J. W. S., Cosyns, S., Remaut, K., Debbaut, C., Adriaens, M., Coene, A., & Ceelen, W. P. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118619 · Cited by 1

A mechanical reprogramming: synergistic tumor microenvironment normalization improves nano-immunotherapy delivery in prostate cancer via multiphysics modeling

Mirala, F., & Soltani, M. (2026) · Drug Delivery and Translational Research · doi:10.1007/s13346-026-02051-7 · Cited by 2

Tumor-on-chip platforms for transport phenotyping: decoding CAF-driven barriers to drug delivery

Manach, D. L., Senez, V., & Nees, M. (2026) · Lab on a Chip · doi:10.1039/d5lc01131k · Cited by 1

Supervoxel-based multimodal MRI biomarkers reveal tumor heterogeneity in high-grade glioma for prognostic stratification and therapy response prediction

Zhu, Y., Zhu, X., Huang, D., Ji, Y., Wang, R., Li, Y. F., Luo, Y. F., Luo, Y., Zhuang, Y., Liu, Z., et al. (2026) · npj Precision Oncology · doi:10.1038/s41698-026-01423-z · Cited by 1

Collective cell migration plasticity in patient-derived digestive cancer organoids is dictated by environment sensing and contractility

Nguyen-Vigouroux, C., Carraz-Billat, E., Cetenovic, T., Galleri-Paris, C., Protin, J., Canet-Jourdan, C., Dornier, E., Polrot, M., Cartry, J., Boilève, A., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117523 · Cited by 1

Mechanotherapeutic biomaterials: Overcoming physical barriers to enhance intratumoral drug delivery in solid tumours

Singh, F. (2026) · Biomedical Microdevices · doi:10.1007/s10544-026-00832-y · Cited by 2

Transport of Engineered Nanoparticles in Solid Tumors: Mechanistic Barriers and Emerging Delivery Strategies

Singh, A. K., Kaur, N., Desai, N., Ankush, A., Meena, L. P., Chauhan, K., Vora, L. K., & Prasad, R. (2026) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.6c00162 · Cited by 1

Molecular glycoengineering of carbohydrate-functionalized nanocarriers for receptor-mediated targeted drug delivery in cancer

Singh, D. (2026) · Carbohydrate Research · doi:10.1016/j.carres.2026.110029 · Cited by 1

Nanomedicine strategies for remodeling the solid tumor microenvironment: stromal targeting, hypoxia modulation, and photodynamic immunotherapy

Rauf, M. A., Luong, D., Shah, F., & Iyer, A. K. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2026.1914117 · Cited by 1

Integrating tumor microenvironment modulation with nanocarrier engineering for enhanced tumor-targeted delivery

Hoang, T. A., Lee, E., Hwang, D., Cho, H. J., & Park, S. (2026) · Journal of Controlled Release · doi:10.1016/j.jconrel.2026.115345 · Cited by 1

Mathematical Modeling of Two-dimensional Unsteady Flow in Growing Tumor

Gracia, A., Riahi, D. N., & Roy, R. (2015) · Applications and Applied Mathematics: An International Journal (AAM) · Cited by 1

Clinical applications of microRNAs

Thillaiyampalam, G., & Cristino, A. S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-89774-7.00013-3 · Cited by 1

Numerical investigation of the pharmacokinetics and pharmacodynamics of the chemotherapeutic drug in avascular and vascular stages of a brain tumor

Mahmoodi, M., Pishevar, A., & Azargoshasbi, F. (2023) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2023.111633 · Cited by 1

FOXP3 is a favourable prognostic indicator in oesophageal adenocarcinoma

Bates, M., McGrath, J., Byrne, L., Vishwakarma, R., Dinneen, K., Mhaolcatha, S. N., Greene, J. P., Selvadurai, P. N., Donlon, N. E., Bhardwaj, A., et al. (2025) · Pathology - Research and Practice · doi:10.1016/j.prp.2025.156216 · Cited by 1

Porous Silicon Nanoparticles for Applications in Nano-medicine

Kafshgari, M. H., Voelcker, N. H., & Harding, F. J. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-803581-8.10463-1 · Cited by 1

Evaluating Morphology and Functionality of On-Chip Vascular Network Derived from Human Umbilical Vein Endothelial Cells (HUVECs) during Long-Term Culture

Kitada, A., Shaji, M., Irisa, T., Fujimoto, K., Karsten, S. L., & Yokokawa, R. (2023) · IEEJ Transactions on Sensors and Micromachines · doi:10.1541/ieejsmas.143.82

Reply to Ciccolini et al.: Using mathematical modeling to predict response to antiangiogenic therapy in cancer patients

Duda, D. G., Heist, R. S., Sahani, D. V., Stylianopoulos, T., Engelman, J. A., & Jain, R. K. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1507225112 · Cited by 1

The IDH-Tau-EGFR triad defines diffuse glioma pathology by controlling mesenchymal differentiation and neo-vascular fitnessPreprint

Gargini, R., Segura-Collar, B., Hernández-SanMiguel, E., Garcia-Escudero, V., Romero-Bravo, A., Herránz, B., Núñez, F. J., García-Pérez, D., Ayuso-Sacido, A., Seoane, J., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/541326 · Cited by 2

Abnormal morphology biases haematocrit distribution in tumour vasculature and contributes to heterogeneity in tissue oxygenationPreprint

Bernabéu, M. O., Köry, J., Grogan, J. A., Markelc, B., Beardo, A., d’Avezac, M., Enjalbert, R., Kaeppler, J., Daly, N., Hetherington, J., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/640060 · Cited by 1

Niche inheritance: a cooperative pathway to enhance cancer cell fitness though ecosystem engineeringPreprint

Yang, K. R., Mooney, S. M., Zarif, J. C., Coffey, D. S., Taichman, R. S., & Pienta, K. J. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1403.7413 · Cited by 1

Going Beyond VEGF Pathway Inhibition for Antiangiogenic Cancer Therapy

Martin, J. D., Duda, D. G., & Jain, R. K. (2020) · Circulation Research · doi:10.1161/circresaha.120.317720 · Cited by 1

Letter to the editor regarding recent article by Wu et al. [J. Theor. Biol. 355 (2014) pp. 194–207]

Jain, R. K., & Netti, P. A. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.08.052

Translation in Cancer at Hypoxia

Yi, T., & Wagner, G. (2014) · Springer eBooks · doi:10.1007/978-94-017-9078-9_20

Translation to the Clinic: Preclinical and Clinical Pharmacology Studies of Nanoparticles – The Translational Challenge

Tyson, R., Osae, L., Madden, A. J., Lucas, A. T., & Zamboni, W. C. (2016) · Wiley eBooks · doi:10.1002/9783527800681.ch19

Avaliação da administração intravenosa de solução salina hipertônica 7,5% como estratégia para melhorar a perfusão do tumor e a entrega de moléculas em modelos tumorais em camundongos

Gonzalez, A. M. P. (2017) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2017.tde-03032017-094509

Research report 2016

Korth, M. (2017) · OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) · doi:10.18725/oparu-4364

Emerging therapies for the treatment of cholangiocarcinoma

Turbeville, S. D., Hornfeldt, C. S., Javle, M. M., Tran, E., & Schwartz, M. (2017) · International Journal of Hepatobiliary and Pancreatic Diseases · doi:10.5348/ijhpd-2017-72-ra-8

Exploring biological heterogeneity and its consequences at tissue and cellular scales through mathematical and computational modeling

Kerketta, R. (2017) · UNM’s Digital Repository (University of New Mexico)

Barriers for Tumor Drug Delivery

Huang, Q., & Du, J. (2020) · Springer eBooks · doi:10.1007/978-981-15-5159-8_2

Monitoring cancer cell surface receptor expression during anti-angiogenesis therapy in vivo

Meng, B., Strawbridge, R. R., Tichauer, K. M., Samkoe, K. S., & Davis, S. C. (2021) · Molecular-Guided Surgery: Molecules, Devices, and Applications · doi:10.1117/12.2583237

Inhibition of Angiogenesis and Extracellular Matrix Remodeling: Role of Renin-Angiotensin System Inhibitors in Bevacizumab -induced HypertensionPreprint

Ren, T., Jia, H., Wu, Q. D., Zhang, Y., Ma, Q., Dong, Y., Gao, X., Xie, D., Xu, Z., Zhang, Y., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-830539/v1

Nobiletin Enhances the Chemotherapeutic Efficacy of Docetaxel through Inhibition of Phosphatidylinositol 3-Kinase/Protein Kinase B and Induction of Apoptosis in Colon Cancer Cells

Li, C. Z. C., Wang, Y., Ghidan, A. Y., & Antary, T. M. A. (2021) · Indian Journal of Pharmaceutical Sciences · doi:10.36468/pharmaceutical-sciences.860

Designing novel therapeutic strategies against tumor stroma and fibrosis

Mardhian, D. F. (2021) · doi:10.3990/1.9789036553179

OBSOLETE: Angiogenesis

Cubbon, R. M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.99736-8

Faculty Opinions recommendation of Anti-angiogenic drug scheduling optimisation with application to colorectal cancer.

Coles, M. C., & Brown, L. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733699856.793549350

Endostar Given at Different Times Combined with Radiotherapy to the Effect of Gastric Cancer Transplanted in Mice and Its Possible Mechanism

孙, 立. (2020) · Advances in Clinical Medicine · doi:10.12677/acm.2020.103063

Computational multiphase characterization of perfusion trends inside biomimetic reduced-order dense tumorsPreprint

Akash, M. M. H., Chakraborty, N., Mohammad, J., Reindl, K. M., & Basu, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.30.494072

Mathematical Model of Oxygen Transport in Tuberculosis Granulomas II: Transvascular and Interstitial Convection, Diffusion, and ReactionPreprint

Datta, M., Kennedy, M., Via, L. E., Baish, J. W., Xu, L., Dartois, V. A., Clifton E. Barry, 3., & Jain, R. K. (2023) · Research Square · doi:10.21203/rs.3.rs-2464284/v1

Expression of gemcitabine metabolizing enzymes in different pancreatic cancer model systems

Knoll, L. (2023) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9800

Data from Multiphoton Phosphorescence Quenching Microscopy Reveals Kinetics of Tumor Oxygenation during Antiangiogenesis and Angiotensin Signaling Inhibition

Martin, J. D., Lanning, R. M., Chauhan, V. P., Martin, M. R., Mousa, S. M., Kamoun, W. S., Han, H., Lee, H., Stylianopoulos, T., Bawendi, M. G., et al. (2023) · doi:10.1158/1078-0432.c.6532584.v1

Nanotechnology and Precision Medicine

Alonazi, N. A., Albukhari, T. A., & Alruwaili, N. M. (2023) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815124606123010008

Breaking-down tumoral physical barrier by “on-site” unwrapping metal-polyphenol-packaged hyaluronidase for optimizing photothermal/photodynamic therapy-induced immune responsePreprint

Yin, D., Sun, Q., Li, Y., Shen, W. H., Shang, W., Xu, Y., Yang, J., Chen, J., Gao, W., Wu, Q., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3259314/v1

Diagnostic ultrasound and microbubbles therapy improves tumor perfusion and doxorubicin accumulation in a Rabbit VX2 tumor model

Zhang, Y., Zhang, J., Luo, T., Tan, X., Li, P., Dong, X., Zhu, Q., & Liu, Z. (2023) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2023.105059

CFD simulation of blood-mediated drug transport through a dense solid tumour

Kedia, K., Khan, A. A., Mukherjee, S., & Mallick, A. (2024) · Indian Chemical Engineer · doi:10.1080/00194506.2024.2370866

CDK5 affects the resistance of lung cancer to radiotherapy by altering the tumor microenvironment

Chen, H., Xu, C.-W., Wang, W.-X., Chen, P., Li, X.-F., Lan, G., Zhai, Z., Zhu, Y.-C., Du, K., & Huang, L.-C. (2024) · Journal of Radiation Research and Applied Sciences · doi:10.1016/j.jrras.2024.101104 · Cited by 2

Effects of selective lactate dehydrogenase A inhibitors and their mechanism in neoplastic and non-neoplastic cells

Frańczak, M. (2024) · doi:10.5463/thesis.984

Advanced Drug Delivery Against Colorectal Cancer by Biopolymeric Nanoparticle Formulations

Mukherjee, S., & Karati, D. (2025) · Regenerative Engineering and Translational Medicine · doi:10.1007/s40883-025-00487-w

The tumor suppressor p53 mutational status controls epithelial 3D cell growth under mechanical compressionPreprint

Di‐Luoffo, M., Arcucci, S., Therville, N., Marty, T., D’Angelo, R., Chaouki, M., Thibault, B., Swider, P., Assémat, P., Delarue, M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.23.681444

Multiscale analysis of electrically stimulated vascularised tumours

Fülöp, Z. B., & Penta, R. (2025) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2025.112307

Deciphering the role of angiogenesis in glioblastoma: Integrative insights from transcriptomic profiling, single-cell sequencing and interpretable machine learning approaches

Yang, F., Peng, C., Yang, S., Bian, X., & Yao, X. (2025) · Pathology - Research and Practice · doi:10.1016/j.prp.2025.156305

Vascular hydraulic conductivity imaging in cancers in vivo based on spatiotemporal ultrasound elastography

Majumder, S., Khan, M. H. R., Chua, C. Y. X., Taraballi, F., & Righetti, R. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf354

Geltrex‐Enhanced Two‐Dimensional Culture as a Viable Alternative to Primary Rat Hepatocyte Sandwich Models

Beldek, E., Holtz, M., Denizli, A., & Usta, O. B. (2025) · Comprehensive physiology · doi:10.1002/cph4.70082

Additional file 1 of Computational modeling of PET tracer distribution in solid tumors integrating microvasculature

Fasaeiyan, N., Soltani, M., Kashkooli, F. M., Taatizadeh, E., & Rahmim, A. (2021) · Figshare · doi:10.6084/m9.figshare.17084393

Nanomedicine for Conjugated Therapy and Diagnosis in Cancer Treatment

Sahoo, P., Das, M., Adhikari, S., Mukherjee, A., & Ghosh, C. K. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898813123125010009

A Review- Nanoparticle-Mediated Modulation of Tumor Hypoxia: Enhancing Cancer Immunotherapy and Therapeutic Efficacy

Dhole, R., Pawar, M., Ahirrao, B., Chhabra, G. S., Fnu, P. I. J., Nalla, S., Darji, P., & Patel, B. (2025) · Biosciences Biotechnology Research Asia · doi:10.13005/bbra/3457

Mathematical modelling and analysis of unsteady poroelastohydrodynamics for an in-vivo type solid tumour

Alam, M., Dey, B., Byrne, H. M., & Sekhar, G. P. R. (2026) · Journal of Mathematical Biology · doi:10.1007/s00285-026-02362-w

Reduced-order modeling of solute transport within physiologically realistic solid tumor microenvironment

Akash, M. M. H., Yeasin, M., Mahmoudirad, S., Niloy, R. A., Mohammad, J., Reindl, K. M., Pandey, A., & Basu, S. K. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1746751

Rôle d'un antagoniste de la nucléoline de surface : le N6L, sur la régulation de l’angiogenèse tumorale dans le modèle de l'adénocarcinome ductale pancréatique

Gilles, M.-E. (2015) · theses.fr (ABES) · doi:10.70675/252c9d25z3baaz4d5bzb204z51782ed7adf7

Etude et inhibition de l'activation endothéliale au cours de l'angiogenèse

Cossutta, M. (2017) · theses.fr (ABES) · doi:10.70675/b2ab1c80zb5caz47c4za53bz83c66b494fda

Immuno-modulatory functions of tenascin-C in a tumor progression model

Murdamoothoo, D. (2018) · theses.fr (ABES) · doi:10.70675/0ebddce2z280az4c92z9177z76ee60326851

TNF-α et transition endothélio-mésenchymateuse : implication dans la formation des fibroblastes associés au cancer (CAF)

Saccone, M. A. (2019) · theses.fr (ABES) · doi:10.70675/d8995276z6866z4372zbbc2z271914e8a438

Mathematical modeling of antibody nanoconjugates transport in tumors

Vaghi, C. (2020) · theses.fr (ABES) · doi:10.70675/b385c631za830z412dzb918zb2d2f5181f67

Bio-Geochemistry of ovarian cancer : Role of selenium nanoparticles in treatment and copper isotopes in detection of ovarian cancer.

Toubhans, B. (2020) · theses.fr (ABES) · doi:10.70675/4c0d51a6zefd9z4ee5za407z0f93ebe48a59

Nanomedicine guided by spatial omics: A next-generation approach to precision drug delivery

Menon, G., Malave, B., Parjane, S., Mhaismale, H., & Narayanan, V. A. (2026) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2026.108306

Etude des interactiοns fοnctiοnnelles entre le récepteur AΤ1 de l'angiοtensine ΙΙ et le récepteur UΤ de l'urοtensine ΙΙ

Prevost, L. (2024) · theses.fr (ABES) · doi:10.70675/4a9273dezbc20z4d99z98faz19414ef80255

Mechanobiology of cancer-associated thrombosis: from molecular mechanisms to therapeutic innovation

Wang, Z. T., Hu, Y. R., Zhan, Z., Dupuy, A., Yao, Z., Liu, X., & Ju, L. A. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04411-4

PID controller system development to enhance hyperthermia-mediated drug delivery

Adabbo, G., Andreozzi, A., Iasiello, M., Napoli, G., & Vanoli, G. P. (2026) · Applied Mathematical Modelling · doi:10.1016/j.apm.2026.117031

Establishment and Histopathological Characterization of a KYSE-30 Subcutaneous Xenograft Model of Esophageal Squamous Cell Carcinoma

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