A Novel Symbiotic Approach for Ovarian Cancer

治疗卵巢癌的新共生方法

基本信息

项目摘要

The overall cancer death rates are down ~20% in past 25 years, however they remained unchanged for late stage ovarian cancer (OvCa) patients, making it the deadliest gynecological disease. Cancer immunotherapy makes use of antibody-based approaches to activate immune cells against the cancer cells and have proven effective in blood cancers and melanomas. Despite short-term positive responses, most OvCa specific antibodies have largely failed in clinical trials. This is attributed to limited infiltration of activated immune effector cells into the solid tumor bed. Therefore, it is highly important to generate efficacious therapies that have inbuilt capacity to turn OvCa against itself by exploiting inherent cancer properties. The proposed studies aim to investigate a novel and rationally combined dual-specificity antibody-based approach (called BaCa) that makes use of OvCa enriched surface antigen (FOLR1) and cancer inducible cell-death activator (DR5 or TRAIL-R2). Therapeutic antibodies individually against FOLR1 and DR5 have failed in clinical trials due to lack of efficacy. The BaCa approach combines these two targets in a single agent antibody with combined strength in the activity and selectivity. FOLR1 acts as an anchor to selectivity recruit, retain, and maintain anti-DR5 affinity in the ovarian tumor microenvironment. This results into a high level of DR5 receptor clustering, signaling and activation. As a consequence a highly superior cell death and cytotoxicity is instigated against ovarian tumors. We have already tested the feasibility of BaCa strategy in both ex vivo and in vivo OvCa models. Current application supported with comprehensive preliminary data aims to test the unique ability of BaCa strategy to engage host immune response for long-term immunogenicity against OvCa. If proved accurate and successful in vivo, this path has the inherent “moon-shot” potential to selectively eliminate HGSOC cells, in a similar or improved fashion over FDA approved dual-specificity antibody called blinatumomab. Unlike chemotherapy, proposed biological therapy is safe and will significantly change the landscape of disease progression free survival of OvCa patients. Finally, this strategy has a great potential to be applicable for other solid cancer targeting.
在过去的25年里,总体癌症死亡率下降了约20%,但最近却没有变化

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Feasible Alternative Strategy Targeting Furin Disrupts SARS-CoV-2 Infection Cycle.
  • DOI:
    10.1128/spectrum.02364-21
  • 发表时间:
    2022-02-23
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Mondal T;Shivange G;Habieb A;Tushir-Singh J
  • 通讯作者:
    Tushir-Singh J
Characterizing the regulatory Fas (CD95) epitope critical for agonist antibody targeting and CAR-T bystander function in ovarian cancer.
  • DOI:
    10.1038/s41418-023-01229-7
  • 发表时间:
    2023-11
  • 期刊:
  • 影响因子:
    12.4
  • 作者:
    Mondal, Tanmoy;Gaur, Himanshu;Wamba, Brice E. N.;Michalak, Abby Grace;Stout, Camryn;Watson, Matthew R.;Aleixo, Sophia L.;Singh, Arjun;Condello, Salvatore;Faller, Roland;Leiserowitz, Gary Scott;Bhatnagar, Sanchita;Tushir-Singh, Jogender
  • 通讯作者:
    Tushir-Singh, Jogender
Analyzing Tumor and Tissue Distribution of Target Antigen Specific Therapeutic Antibody.
分析靶抗原特异性治疗抗体的肿瘤和组织分布。
  • DOI:
    10.3791/60727
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Shivange,Gururaj;Mondal,Tanmoy;Lyerly,Evan;Gatesman,Jeremy;Tushir-Singh,Jogender
  • 通讯作者:
    Tushir-Singh,Jogender
Arming "old guards" with "new dual-targeting weapons".
用“新型双目标武器”武装“老卫士”。
  • DOI:
    10.1016/j.ccell.2021.04.010
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    50.3
  • 作者:
    Lum,LawrenceG;Tushir-Singh,Jogender
  • 通讯作者:
    Tushir-Singh,Jogender
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Jogender Tushir-Singh其他文献

Jogender Tushir-Singh的其他文献

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{{ truncateString('Jogender Tushir-Singh', 18)}}的其他基金

A Novel Symbiotic Approach for Ovarian Cancer
治疗卵巢癌的新共生方法
  • 批准号:
    10407043
  • 财政年份:
    2019
  • 资助金额:
    $ 38.08万
  • 项目类别:
A Novel Symbiotic Approach for Ovarian Cancer
治疗卵巢癌的新共生方法
  • 批准号:
    10511945
  • 财政年份:
    2019
  • 资助金额:
    $ 38.08万
  • 项目类别:
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