Oncogenic KIT Induces Replication Stress and Confers Cell Cycle Checkpoint Vulnerability in Melanoma

Fabrication and functional validation of a hybrid biomimetic nanovaccine (HBNV) against Kit K641E -mutant melanoma

Cancer nanovaccines hold the promise for personalization, precision, and pliability by integrating all the elements essential for effective immune stimulation. An effective immune response requires communication and interplay between antigen-presenting cells (APCs), tumor cells, and immune cells to stimulate, extend, and differentiate antigen-specific and non-specific anti-tumor immune cells. The versatility of nanomedicine can be adapted to deliver both immunoadjuvant payloads and antigens from the key players in immunity (i.e., APCs and tumor cells). The imperative for novel cancer medicine is particularly pressing for less common but more devastating KIT-mutated acral and mucosal melanomas that are resistant to small molecule c-kit and immune checkpoint inhibitors. To overcome this challenge, we successfully engineered nanotechnology-enabled hybrid biomimetic nanovaccine (HBNV) comprised of membrane proteins (antigens to activate immunity and homing/targeting ligand to tumor microenvironment (TME) and lymphoid organs) from fused cells (of APCs and tumor cells) and immunoadjuvant. These HBNVs are efficiently internalized to the target cells, assisted in the maturation of APCs via antigens and adjuvant, activated the release of anti-tumor cytokines/inhibited the release of immunosuppressive cytokine, showed a homotypic effect on TME and lymph nodes, activated the anti-tumor immune cells/downregulated the immunosuppressive immune cells, reprogram the tumor microenvironment, and showed successful anti-tumor therapeutic and prophylactic effects.

Identifying Genetic Signatures Associated with Oncogene-Induced Replication Stress in Osteosarcoma and Screening for Potential Targeted Drugs

Osteosarcoma is the most common type of primary malignant bone tumor. Due to the lack of selectivity and sensitivity of chemotherapy drugs to tumor cells, coupled with the use of large doses, chemotherapy drugs often have systemic toxicity. The use of modern sequencing technology to screen tumor markers in a large number of tumor samples is a common method for screening highly specific and selective anti-tumor drugs. This study aims to identify potential biomarkers using the latest reported gene expression signatures of oncogene-induced replication stress (ORS) in aggressive cancers, and potential anti-osteosarcoma drugs were screened in different drug databases. In this study, we obtained 89 osteosarcoma-related samples in the TARGET database, all of which included survival information. According to the median expression of each of six reported ORS gene markers (NAT10/DDX27/ZNF48/C8ORF33/MOCS3/MPP6), we divided 89 osteosarcoma gene expression datasets into a high expression group and a low expression group and then performed a differentially expressed gene (DEG) analysis. The coexisting genes of 6 groups of DEGs were used as replication stress-related genes (RSGs) of osteosarcoma. Then, key RSGs were screened using LASSO regression, a Cox risk proportional regression prognostic model and a tenfold cross-validation test. GSE21257 datasets collected from the Gene Expression Omnibus (GEO) database were used to verify the prognostic model. The final key RSGs selected were used in the L1000PWD and DGIdb databases to mine potential drugs. After further validation by the prognostic model, we identified seven genes associated with ORS in osteosarcoma as key RSGs, including transcription factor 7 like 2 (TCF7L2), solute carrier family 27 member 4 (SLC27A4), proprotein convertase subtilisin/kexin type 5 (PCSK5), nucleolar protein 6 (NOL6), coiled-coil-coil-coil-coil-helix domain containing 4 (CHCHD4), eukaryotic translation initiation factor 3 subunit B (EIF3B), and synthesis of cytochrome C oxidase 1 (SCO1). Then, we screened the seven key RSGs in two drug databases and found six potential anti-osteosarcoma drugs (D GIdb database: repaglinide, tacrolimus, sirolimus, cyclosporine, and hydrochlorothiazide; L1000PWD database: the small molecule VU-0365117-1). Seven RSGs (TCF7L2, SLC27A4, PCSK5, NOL6, CHCHD4, EIF3B, and SCO1) may be associated with the ORS gene signatures in osteosarcoma. Repaglinide, tacrolimus, sirolimus, cyclosporine, hydrochlorothiazide and the small molecule VU-0365117-1 are potential therapeutic drugs for osteosarcoma.

Molecular Analysis of Murine KitK641E Melanoma Progression

Acral and mucosal melanomas are often driven by sequence variants in the KIT receptor tyrosine kinase, with nearly 40% harboring alterations in the KIT locus. Despite advances in the knowledge of KIT-mutated melanomas, little is known about the molecular reprogramming that occurs during KIT-mediated melanoma progression owing to the rarity of acral and mucosal melanomas and the lack of comprehensive biological tools and models. To this end, we used a murine model that allows us to ascertain the molecular underpinnings of the stages of cancer progression-transformation, tumorigenesis, immune engagement, and tumor escalation. We found dramatic increases in biosynthetic demands associated with the transformation stage, including DNA and RNA metabolism, leading to replication stress. Tumorigenesis was closely linked to neuronal and axonal development, likely necessary for invasion into the host. Immune engagement highlighted early immune excitation and rejection pathways, possibly triggered by abrupt neoantigen exposure. Finally, tumor escalation pathways proved consistent with immune evasion, with immune-related pathways becoming significantly downregulated. To our knowledge, it is previously unreported that these critical milestones needed for KIT-driven melanoma tumor formation have been studied at the molecular level using isogenically matched and phenotypically defined cells.

Causes, consequences and clinical significance of aneuploidy across melanoma subtypes

Aneuploidy, the state of the cell in which the number of whole chromosomes or chromosome arms becomes imbalanced, has been recognized as playing a pivotal role in tumor evolution for over 100 years. In melanoma, the extent of aneuploidy, as well as the chromosomal regions that are affected differ across subtypes, indicative of distinct drivers of disease. Multiple studies have suggested a role for aneuploidy in diagnosis and prognosis of melanomas, as well as in the context of immunotherapy response. A number of key constituents of the cell cycle have been implicated in aneuploidy acquisition in melanoma, including several driver mutations. Here, we review the state of the art on aneuploidy in different melanoma subtypes, discuss the potential drivers, mechanisms underlying aneuploidy acquisition as well as its value in patient diagnosis, prognosis and response to immunotherapy treatment.