Identification and Pharmacological Targeting of Treatment-Resistant, Stem-like Breast Cancer Cells for Combination Therapy.
Jeremy WorleyHeeju NohDaoqi YouMikko M TurunenHongxu DingEvan PaullAaron T GriffinAdina GrunnMingxuan ZhangKristina GuillanErin C BushSamantha J BrosiusHanina HibshooshPrabhjot S MundiPeter SimsPiero DalerbaFilemon Dela CruzAndrew L KungAndrea CalifanoPublished in: bioRxiv : the preprint server for biology (2024)
Tumors frequently harbor isogenic yet epigenetically distinct subpopulations of multi-potent cells with high tumor-initiating potential-often called Cancer Stem-Like Cells (CSLCs). These can display preferential resistance to standard-of-care chemotherapy. Single-cell analyses can help elucidate Master Regulator (MR) proteins responsible for governing the transcriptional state of these cells, thus revealing complementary dependencies that may be leveraged via combination therapy. Interrogation of single-cell RNA sequencing profiles from seven metastatic breast cancer patients, using perturbational profiles of clinically relevant drugs, identified drugs predicted to invert the activity of MR proteins governing the transcriptional state of chemoresistant CSLCs, which were then validated by CROP-seq assays. The top drug, the anthelmintic albendazole, depleted this subpopulation in vivo without noticeable cytotoxicity . Moreover, sequential cycles of albendazole and paclitaxel-a commonly used chemotherapeutic -displayed significant synergy in a patient-derived xenograft (PDX) from a TNBC patient, suggesting that network-based approaches can help develop mechanism-based combinatorial therapies targeting complementary subpopulations.
Keyphrases
- combination therapy
- single cell
- rna seq
- induced apoptosis
- high throughput
- cell cycle arrest
- transcription factor
- breast cancer cells
- gene expression
- healthcare
- small cell lung cancer
- squamous cell carcinoma
- endoplasmic reticulum stress
- palliative care
- cancer therapy
- magnetic resonance imaging
- magnetic resonance
- drug induced
- oxidative stress
- cell death
- climate change
- risk assessment
- computed tomography
- contrast enhanced
- papillary thyroid
- dna methylation
- drug delivery
- genome wide
- anti inflammatory
- electronic health record
- quality improvement