Abstract A046: Identification of paralog selective degraders of SMARCA2 and SMARCA4 for treatment of various cancers

作者
Chandrasekhar Abbineni,Kiran B. Aithal,Leena Khare,Sandeep Dukare,Bilash Kuila,Megha Goyal,Khaji Abdul Rawoof,Dhaytadak Bhagwan Mahadeo,Bhagya M S Kumar,Premkumar M,Swetangini Sahu,Suraj T. Gore,Lavanya Krishna N,Charamanna KB,Gopinath CH,Dodderi S. Samiulla,Subhendu Mukherjee,Thomas Antony,Sanjeev Giri,Shekar Chelur
出处
期刊:Molecular Cancer Therapeutics [American Association for Cancer Research]
卷期号:22 (12_Supplement): A046-A046
标识
DOI:10.1158/1535-7163.targ-23-a046
摘要

Abstract Background: The BAF (SWI/SNF) chromatin remodeling complex comprises of two mutually exclusive ATPases, SMARCA2 (BRM) and SMARCA4 (BRG1), that affect the mobilization and positioning of nucleosomes on DNA and thereby regulate important cellular functions including transcription, DNA recombination, DNA repair and chromosome decatenation during mitosis. SMARCA4 is frequently overexpressed in several types of cancers. Overexpression has been linked to increased proliferation and survival, as well as aggressive tumors and poor prognosis. SMARCA4 knockdown in these tumors led to inhibition of proliferation and increased sensitivity to known chemotherapeutic agents, supporting the validity of targeting SMARCA4. Further, genetic silencing studies have established that the oncogenic activity of tumors lacking SMARCA4 is primarily driven by its paralog SMARCA2 containing residual SWI/SNF complex, suggesting the importance of targeting SMARCA2. Considering this well-established biological rationale, selective inhibition/degradation of either of these proteins should be very useful in precision oncology to achieve immense therapeutic benefit. Here we report selective degraders targeting either SMARCA4 or SMARCA2 that demonstrate distinct cellular phenotype. Methods and Results: As part of the initial design plan, selective SMARCA2/4 Bromodomain inhibitors and specific ligands of several E3 ligases were chosen to arrive at different degrader designs. A choice of linkers and different exit vectors were considered to construct a variety of heterobifunctional as well as monovalent degrader molecules. Our proprietary ternary complex modeling algorithm, ALMOND (ALgorithm for MOdeling Neosubstrate Degraders) helped in prioritizing the designs. Shortlisted compounds were synthesized and profiled in multiple cellular assays to understand their degradation potential. Several compounds that potently degrade either SMARCA2 or SMARCA4 selectively were identified. These compounds have shown distinct phenotype depending on the lineage as well as SMARCA2 and SMARCA4 status of the cell lines. As expected, SMARCA2 selective degraders showed exquisite sensitivity to SMARCA4 mutant cell lines (SK-MEL-5 & RERF-LC-A1 etc), whereas SMARCA4 selective degraders showed a distinct cellular sensitivity profile. Potent and selective compounds are being optimized further for their pharmacokinetic properties. Conclusions: Highly potent and selective degraders of either SMARCA2 or SMARCA4 were identified. While selective SMARCA2 degraders have been reported in the literature, to the best of our knowledge, no SMARCA4 selective degrader has been reported so far. Distinct cellular selectivity of these paralog selective degraders supports their further optimization towards advancing them to clinical trials. Citation Format: Chandrasekhar Abbineni, Kiran Aithal, Leena Khare, Sandeep Dukare V, Bilash Kuila, Megha Goyal, Khaji Abdul Rawoof, Dhaytadak Bhagwan Mahadeo, Bhagya M S Kumar, Premkumar M, Swetangini Sahu, Suraj T Gore, Lavanya Krishna N, Charamanna KB, Gopinath CH, Samiulla D S, Subhendu Mukherjee, Thomas Antony, Sanjeev Giri, Shekar Chelur, Kavitha Nellore, Girish Daginakatte, Murali Ramachandra, Susanta Samajdar. Identification of paralog selective degraders of SMARCA2 and SMARCA4 for treatment of various cancers [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr A046.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
芷兰丁香发布了新的文献求助10
刚刚
Hello的应助被DoctorSun采纳,获得20
刚刚
桐桐的应助被DoctorSun采纳,获得10
刚刚
欢呼的听南完成签到,获得积分20
刚刚
1秒前
传奇3的应助被DoctorSun采纳,获得30
1秒前
1秒前
SciGPT的应助被DoctorSun采纳,获得10
1秒前
1秒前
共享精神的应助被DoctorSun采纳,获得80
1秒前
2秒前
DZZH完成签到 ,获得积分10
2秒前
2秒前
2秒前
3秒前
一条咸鱼发布了新的文献求助10
4秒前
cola发布了新的文献求助10
4秒前
4秒前
4秒前
nicholas完成签到,获得积分10
4秒前
喜悦诗翠完成签到 ,获得积分10
5秒前
huaweili发布了新的文献求助10
5秒前
5秒前
哈哈完成签到,获得积分10
6秒前
夏小唯发布了新的文献求助10
7秒前
7秒前
充电宝的应助被fiffy采纳,获得10
7秒前
春樹暮雲完成签到 ,获得积分10
7秒前
炙热的穆完成签到,获得积分10
7秒前
Trentthe66发布了新的文献求助10
8秒前
无限之双发布了新的文献求助10
8秒前
SciGPT的应助被理塘王采纳,获得10
8秒前
9秒前
JamesPei的应助被DoctorSun采纳,获得10
9秒前
隐形曼青的应助被DoctorSun采纳,获得30
9秒前
molihuakai的应助被DoctorSun采纳,获得10
9秒前
星辰大海的应助被DoctorSun采纳,获得10
9秒前
慕青的应助被DoctorSun采纳,获得10
9秒前
Akim的应助被DoctorSun采纳,获得10
10秒前
共享精神的应助被DoctorSun采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
A REVIEW OF THE V-22 DYNAMICS VALIDATION PROGRAM 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8128930
求助须知:如何正确求助?哪些是违规求助? 9531326
关于积分的说明 21590111
捐赠科研通 7709878
什么是DOI,文献DOI怎么找? 3417492
关于科研通互助平台的介绍 2543024
邀请新用户注册赠送积分活动 2458737