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Series GSE190814 Query DataSets for GSE190814
Status Public on Jul 06, 2023
Title The antidepressant imipramine inhibits breast cancer growth by targeting estrogen receptor signaling and DNA repair events
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Breast cancer is the most common cancer in women and the leading cause of cancer-related deaths in women worldwide. Although survival of breast cancer patients has improved in the last decade, major hurdles remain. Two problems associated with current therapies include acquired resistance and the debilitating side effects of treatment, especially chemotherapy. Therefore, safer treatment options that effectively suppress cancer progression and reduce treatment-associated side effects are much needed.   Repurposing of clinically approved or investigational drugs could be one type of effective and safe options for treating cancer patients. Imipramine is a tricyclic antidepressant commonly used for many decades. It is a selective serotonin reuptake inhibitor (SSRI) and inhibits other neurotransmitters. Here, we report that imipramine blocks ER+ and TNBC growth and progression by inhibiting key proteins involved in ER-a signaling, cell cycle progression, and DNA repair and replication. Furthermore, imipramine improved the efficacy of PARP inhibitor therapy in TNBC. This study is the first to show that imipramine is a promising therapeutic option for breast cancer and to define imipramine’s mechanism of action and targets in breast cancer. This pre-clinical study is the basis for a currently ongoing clinical trial testing the efficacy of imipramine for treating breast cancer.
 
Overall design Total RNA from MCF7 and MDA-MB-231 vehicle or imipramine-treated cells were isolated using RNeasy mini kit (Qiagen). Each sample were replicated and sequenced using Illumina TruSeq RNA Sample preparation and sequencing protocols at UT Health San Antonio sequencing facility.
 
Contributor(s) Timilsina S, Rajamanickam S, Rao M, Chen Y, Lai Z
Citation(s) 35568265
Submission date Dec 13, 2021
Last update date Jul 06, 2023
Contact name Yidong Chen
E-mail(s) cheny8@uthscsa.edu
Phone 2105629163
Organization name UT Health Science Center at San Antonio
Department Population Health Sciences
Street address 8403 Floyd Curl Drive, MSC 7784
City San Antonio
State/province Texas
ZIP/Postal code 78229
Country USA
 
Platforms (1)
GPL21290 Illumina HiSeq 3000 (Homo sapiens)
Samples (10)
GSM5732382 MCF7_40_1
GSM5732383 MCF7_40_4
GSM5732384 MCF7_C1
Relations
BioProject PRJNA788513
SRA SRP350678

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE190814_RAW.tar 960.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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