Using In silico models to predict lymphocyte activation and development in a data rich era DOI
Salim I. Khakoo, Jayajit Das

ImmunoInformatics, Journal Year: 2024, Volume and Issue: 14, P. 100037 - 100037

Published: May 10, 2024

Language: Английский

Enhancing cancer therapy: the integration of oncolytic virus therapy with diverse treatments DOI Creative Commons
Yan Zhuo, Zhengbo Zhang, Yanan Chen

et al.

Cancer Cell International, Journal Year: 2024, Volume and Issue: 24(1)

Published: July 11, 2024

Abstract As one of the significant challenges to human health, cancer has long been a focal point in medical treatment. With ongoing advancements field medicine, numerous methodologies for therapy have emerged, among which oncolytic virus gained considerable attention. However, viruses still exhibit limitations. Combining them with various therapies can further enhance efficacy treatment, offering renewed hope patients. In recent research, scientists recognized promising prospect amalgamating diverse treatments, potentially surmounting restrictions singular approaches. The central concept this combined revolves around leveraging incite localized tumor inflammation, augmenting immune response immunotherapeutic efficacy. Through approach, patient's system better recognize and eliminate cells, simultaneously reducing evasion mechanisms against system. This review delves deeply into latest research progress concerning integration treatments its role types therapy. We aim analyze mechanisms, advantages, potential challenges, future directions combination By extensively exploring field, we instill fight cancer.

Language: Английский

Citations

13

The long-term effectiveness and mechanism of oncolytic virotherapy combined with anti-PD-L1 antibody in colorectal cancer patient DOI Creative Commons
Hangyu Zhang,

Yiqing Ren,

Feiyu Wang

et al.

Cancer Gene Therapy, Journal Year: 2024, Volume and Issue: 31(9), P. 1412 - 1426

Published: July 27, 2024

Colorectal cancer (CRC) is known to be resistant immunotherapy. In our phase-I clinical trial, one patient achieved a 313-day prolonged response during the combined treatment of oncolytic virotherapy and To gain deeper understanding potential molecular mechanisms, we performed comprehensive multi-omics analysis on this three non-responders. Our investigation unveiled that, initially, tumor microenvironment (TME) responder presented minimal infiltration T cells natural killer cells, along with relatively higher presence macrophages compared Remarkably, treatment, there was progressive increase in CD4

Language: Английский

Citations

5

How do viruses get around? A review of mathematical modeling of in-host viral transmission DOI
Hana M. Dobrovolny

Virology, Journal Year: 2025, Volume and Issue: unknown, P. 110444 - 110444

Published: Jan. 1, 2025

Language: Английский

Citations

0

Optimal strategies of oncolytic virus-bortezomib therapy via the apoptotic, necroptotic, and oncolysis signaling network DOI Creative Commons
Donggu Lee, Aurelio A. de los Reyes V, Yangjin Kim

et al.

Mathematical Biosciences & Engineering, Journal Year: 2024, Volume and Issue: 21(3), P. 3876 - 3909

Published: Jan. 1, 2024

<abstract><p>Bortezomib and oncolytic virotherapy are two emerging targeted cancer therapies. Bortezomib, a proteasome inhibitor, disrupts protein degradation in cells, leading to the accumulation of unfolded proteins that induce apoptosis. On other hand, uses genetically modified viruses (OVs) infect trigger cell lysis, activate anti-tumor response. Despite progress treatment, identifying administration protocols for therapeutic agents remains significant concern, aiming strike balance between efficacy, minimizing toxicity, administrative costs. In this work, optimal control theory was employed design cost-effective efficient co-administration bortezomib OVs could significantly diminish population cells via death program with NF$ \kappa $B-BAX-RIP1 signaling network. Both linear quadratic strategies were explored obtain practical treatment approaches by adapting necroptosis programs. Our findings demonstrated combination therapy commencing followed infusions yields an effective tumor-killing outcome. These results provide valuable guidance development clinical treatment.</p></abstract>

Language: Английский

Citations

2

Modeling of oncolytic viruses in a heterogeneous cell population to predict spread into non-cancerous cells DOI Creative Commons

Karan Buntval,

Hana M. Dobrovolny

Computers in Biology and Medicine, Journal Year: 2023, Volume and Issue: 165, P. 107362 - 107362

Published: Aug. 19, 2023

Language: Английский

Citations

3

Using In silico models to predict lymphocyte activation and development in a data rich era DOI
Salim I. Khakoo, Jayajit Das

ImmunoInformatics, Journal Year: 2024, Volume and Issue: 14, P. 100037 - 100037

Published: May 10, 2024

Language: Английский

Citations

0