REGISTRI: Regorafenib in first-line of KIT/PDGFRA wild type metastatic GIST: a collaborative Spanish (GEIS), Italian (ISG) and French Sarcoma Group (FSG) phase II trial

Gene Mutations in Gastrointestinal Stromal Tumors: Advances in Treatment and Mechanism Research

Although gastrointestinal stromal tumors (GISTs) has been reported in patients of all ages, its diagnosis is more common in elders. The two most common types of mutation, receptor tyrosine kinase (KIT) and platelet-derived growth factor receptor a (PDGFRA) mutations, hold about 75 and 15% of GISTs cases, respectively. Tumors without KIT or PDGFRA mutations are known as wild type (WT)-GISTs, which takes up for 15% of all cases. WT-GISTs have other genetic alterations, including mutations of the succinate dehydrogenase and serine-threonine protein kinase BRAF and neurofibromatosis type 1. Other GISTs without any of the above genetic mutations are named "quadruple WT" GISTs. More types of rare mutations are being reported. These mutations or gene fusions were initially thought to be mutually exclusive in primary GISTs, but recently it has been reported that some of these rare mutations coexist with KIT or PDGFRA mutations. The treatment and management differ according to molecular subtypes of GISTs. Especially for patients with late-stage tumors, developing a personalized chemotherapy regimen based on mutation status is of great help to improve patient survival and quality of life. At present, imatinib mesylate is an effective first-line drug for the treatment of unresectable or metastatic recurrent GISTs, but how to overcome drug resistance is still an important clinical problem. The effectiveness of other drugs is being further evaluated. The progress in the study of relevant mechanisms also provides the possibility to develop new targets or new drugs.

Two different mutational types of familial gastrointestinal stromal tumors: Two case reports

BACKGROUND

Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal (GI) tract, and cases of GISTs tend to be of the disseminated type, with a global incidence of 10 to 15 cases/million each year. The rarer familial GISTs, which often represent a population, differ in screening, diagnosis, and treatment. Familial GISTs include primary familial GISTs with predominantly KIT/PDGFRA mutations and wild-type GISTs. However, whether the same genetic family has different phenotypes has not been reported.

CASE SUMMARY

We report two cases of rare GISTs in the same family: A male patient with the V561D mutation in exon 12 of the PDGFRA gene, who has been taking the targeted drug imatinib since undergoing surgery, and a female patient diagnosed with wild-type GIST, who has been taking imatinib for 3 years since undergoing surgery. The favorable prognosis of these patients during the 7-year follow-up period validates the accuracy of our treatment strategy, and we have refined the entire process of diagnosis and treatment of familial GISTs in order to better manage this rare familial disease.

CONCLUSION

Different mutation types of familial GISTs in the same family are very rare, thus it is very important to make the correct diagnosis and treatment strategies according to the results of molecular detection for the management of familial GISTs.

Regorafenib enhances the efficacy of photodynamic therapy in hepatocellular carcinoma through MAPK signaling pathway suppression

Photodynamic therapy (PDT) is a promising and innovative approach for treating tumors. The synergistic effect of PDT and chemotherapy can enhance the anti-tumor efficacy by leveraging their complementing benefits. In this study, we created lipid vesicles to deliver a photosensitizer (chlorin e6, Ce6) and Regorafenib into tumors for the purpose of examining the effectiveness and mechanism of Lipo-Ce6@Rego-PDT (LCR-P) on Hepatocellular carcinoma (HCC) both in vitro and in vivo. We found that the cytotoxicity on HCC caused by LCR-P was significantly stronger than that caused by Lipo-Ce6-PDT (LC-P). Cellular ROS production in the LCR-P group was approximately higher than that in the LC-P group, and Regorafenib significantly inhibited the phosphorylation of JNK, ERK, and P38 of Lipo-Ce6-PDT group in vitro and in vivo. Furthermore, Regorafenib significantly downregulated the expression of Bcl-2 and upregulated the expression of Bax and cleaved caspase-3 of LC-P group in vitro and in vivo. Compared with LC-P, LCR-P significantly increased cell apoptosis rate. The body weight and HE staining of normal organs primarily indicated the safety of this combined strategy. These results indicate that the combination of Regorafenib and Lipo-Ce6 can significantly enhance the anti-tumor efficiency of PDT for HCC and exhibits good biosafety.

Machine learning in onco-pharmacogenomics: a path to precision medicine with many challenges

Over the past two decades, Next-Generation Sequencing (NGS) has revolutionized the approach to cancer research. Applications of NGS include the identification of tumor specific alterations that can influence tumor pathobiology and also impact diagnosis, prognosis and therapeutic options. Pharmacogenomics (PGx) studies the role of inheritance of individual genetic patterns in drug response and has taken advantage of NGS technology as it provides access to high-throughput data that can, however, be difficult to manage. Machine learning (ML) has recently been used in the life sciences to discover hidden patterns from complex NGS data and to solve various PGx problems. In this review, we provide a comprehensive overview of the NGS approaches that can be employed and the different PGx studies implicating the use of NGS data. We also provide an excursus of the ML algorithms that can exert a role as fundamental strategies in the PGx field to improve personalized medicine in cancer.

A tRF-5a fragment that regulates radiation resistance of colorectal cancer cells by targeting MKNK1

Radiotherapy serves as a crucial strategy in the treatment of colorectal cancer (CRC). However, its efficacy is often hindered by the challenge of radiation resistance. Although the literature suggests that some tRNA-derived small RNAs (tsRNAs) are associated with various cancers, studies reporting the relationship of tsRNAs with cancer cell radiosensitivity have not been published yet. In our study, we utilized tsRNAs sequencing to predict differentially expressed tsRNAs in two CRC cells and their radioresistant cells, and 10 tsRNAs with significant differences in expression were validated by qPCR. The target genes of tRF-16-7X9PN5D were predicted and verified by the bioinformatics, dual-luciferase reporter gene assay and western blotting analyses. Wound healing, colony formation, transwell invasion and CCK-8 assays were performed to detect the effects of tRF-16-7X9PN5D on cell function and radiosensitivity. Western blotting evaluated the relationship between tRF-16-7X9PN5D and the MKNK-eIF4E axis. Our findings demonstrated that tRF-16-7X9PN5D expression was substantially downregulated in radioresistant CRC cells. Furthermore, tRF-16-7X9PN5D could promote CRC cells' ability to proliferate, migrate, invade and obtain radiation resistance by targeting MKNK1. Finally, tRF-16-7X9PN5D could regulate eIF4E phosphorylation via MKNK1. This investigation indicated that tRF-16-7X9PN5D has an essential regulatory role in the radiation resistance of CRC by directly targeting MKNK1, and may be a new pathway for regulating the CRC radiosensitivity.