Cryptotanshinone suppresses key onco-proliferative and drugresistant pathways of chronic myeloid leukemia by targeting STAT5 and STAT3 phosphorylation

C-Myc and signal transducer and activator of transcription(STAT) family proteins have been proposed to be important downstream genes of BCR-ABL, which characterizes most cases of chronic myeloid leukemia(CML). Here, we report a c-Myc pathway-targeted screening of seven natural anticancer compounds, in which we identified cryptotanshinone as a highly promising agent for CML therapy. Cryptotanshinone depletes c-Myc in CML by repressing the phosphorylation of STAT5.Decreased viability of K562 cells correlated with p-STAT5 suppression. Unexpectedly, imatinib activates rather than inhibits the phosphorylation of STAT3 in K562 cells. We demonstrated that cryptotanshinone, as a dual inhibitor of p-STAT5 and p-STAT3,can effectively block IL-6-mediated STAT3 activation and reverse BCR-ABL kinase-independent drug resistance. Moreover, we showed that the epigenetic rebalance between decreased BCR-ABL/STAT5/c-Myc and enhanced STAT3/multi-drug resistance(MDR) pathways is characteristic of the cancer stem cell-like property of K562/ADR. Simultaneously suppressing these two pathways using cryptotanshinone proves to be critical for the malignant network redress and MDR reversal of K562/ADR. These studies reveal the dual functions of cryptotanshinone that suppress key oncogenic proliferation and drug-resistant pathways in CML cells by targeting p-STAT5 and p-STAT3, providing a new strategy for CML therapy that takes advantage of natural products.

Applications of RNA Indexes for Precision Oncology in Breast Cancer

Precision oncology aims to offer the most appropriate treatments to cancer patients mainly based on their individual genetic information. Genomics has provided numerous valuable data on driver mutations and risk loci; however, it remains a formidable challenge to transform these data into therapeutic agents. Transcriptomics describes the multifarious expression patterns of both mRNAs and non-coding RNAs （ncRNAs）, which facilitates the deciphering of genomic codes. In this review, we take breast cancer as an example to demonstrate the applications of these rich RNA resources in precision medicine exploration. These include the use of mRNA profiles in triple-negative breast cancer （TNBC） subtyping to inform corresponding candidate targeted therapies; current advancements and achievements of high-throughput RNA interference （RNAi） screening technologies in breast cancer; and microRNAs as functional signatures for defining cell identities and regulating the biological activities of breast cancer cells. We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.