Refametinib

Responses to neoadjuvant chemoradiotherapy for locally advanced rectal cancer are not uniform. The phosphatidylinositol-3 kinase (PI3K) and mitogen-activated protein kinase (MAPK) pathways are involved in tumorigenesis and treatment resistance in many cancers; therefore, targeting these pathways could enhance response to chemoradiotherapy. A panel of colorectal cancer (CRC) cell lines (n = 10) with varying PI3K and MAPK mutational backgrounds were treated with combinations of 5-Flourouracil (5-FU), radiation, the PI3K inhibitor copanlisib, and/or the MEK inhibitor refametinib, and their effects on proliferation in vitro were measured. BALB/c SCID mice were implanted with CRC cell lines representative of each mutational background, treated with copanlisib and/or chemoradiotherapy, and monitored for tumor growth. In vitro, PIK3CA mutated cell lines were most sensitive to copanlisib (IC50=28 nM) and KRAS mutated cell lines were most sensitive to refametinib (IC50 = 36 nM), while the combination of copanlisib and refametinib was synergistic in 9/10 cell lines tested. The addition of copanlisib to 5-FU chemoradiotherapy inhibited cell growth compared to 5-FU chemoradiotherapy alone, an effect that was most notable in LS-1034 (KRAS mutated) and Caco-2 (PIK3CA/KRAS wild-type) cell lines. In vivo copanlisib and 5-FU chemoradiotherapy reduced tumor growth in all xenograft models and increased overall survival in LS-1034 and Caco-2 xenografts. Our results suggest that activation of the kinase signalling pathway may modulate PI3K/MEK inhibitor responsiveness in colorectal cancer. Furthermore, the addition of copanlisib to 5-FU chemoradiotherapy resulted in an enhanced anti-proliferative cytotoxic effect compared to 5-FU chemoradiotherapy alone, regardless of the background mutational status, and supports further clinical development of this regimen.

Osteosarcoma is the most common primary bone malignancy, with a very poor prognosis. Aberrant glycosylation is close involvement in osteosarcoma. Accordingly, this study aimed at investigating the role of glycosylation genes in the prognosis and therapy options of osteosarcoma. The microenvironment of osteosarcoma was assessed using estimate algorithm. A total of 20 immune-related glycosylation genes (IRGGs) was identified using Pearson correlation analysis. Accordingly, osteosarcoma patients were divided into C1 and C2 type using consensus clustering. Multiple algorithms (Xcell, MCP-counter, ssGSEA, epic, quantiseq), cancer immune cycle analysis, and GSVA were applied to estimate the immune, molecule and metabolism characteristics of osteosarcoma, indicating that C1 type was featured with high immune infiltration, high glycosylation, enriched MEK signaling, and good prognosis, while C2 type was characterized by more metastasis, enriched immunotherapy-positive gene signatures, high tumor mutation burden, and poor prognosis. Results from TIDE algorithm and immunotherapy datasets suggested the C2 type's preference of immune checkpoint inhibitors (ICIs), while data of GDSC, CMap analysis and cell experiments indicated that C1 type was sensitivity to MEK inhibitor PD0325901. In addition, univariate Cox and Lasso analysis was combined to establish an IRGGs' risk score containing 6 genes (B3GNT8, FUT7, GAL3ST4, GALNT14, HS3ST2, and MFNG). The data of DCA and ROC indicated its well prediction of prognosis in osteosarcoma. Finally, cellular location analysis showed that the 6 genes not only distributed in tumor cells but also in immune cells. In summary, the classification and risk score based on IRGGs effectively predicted the prognosis and therapy options of osteosarcoma. Further studies on IRGGs may contribute to the understanding of cancer immunity in osteosarcoma.