Cancer-associated fibroblasts (CAFs) have been widely reported to promote tumor angiogenesis. However, the underlying mechanisms of the proangiogenic switch of CAFs remain poorly understood. This study aims to clarify the mechanisms underlying the proangiogenic switch of CAFs. NIH/3T3 cells were treated with B16 and B16F10-derived exosomes. Then the CAFs markers and proangiogenic factors were detected by RT-PCR and Western blot. CCK-8 assay, transwell migration assay, tube formation assay, and in vivo Matrigel plug assay were conducted to determine the proangiogenic capability of CAFs. Western blot and AG490 were used to investigate the role of Janus kinase 2/signal transducer and activator of transcription 3 (JAK2/STAT3) signaling pathway in the proangiogenic switch of CAFs. Bioinformatics analysis, luciferase reporter assay, microRNA mimic and inhibitor, and xenograft models were used to investigate the role of mmu-miR-155-5p (miR-155) in the proangiogenic switch of CAFs. In this study, we show that melanoma cell-secreted exosomes can induce reprogramming of fibroblasts into CAFs and that exosomal miR-155 can trigger the proangiogenic switch of CAFs. Mechanistically exosomal miR-155 can be delivered into fibroblasts and promote the expression of proangiogenic factors, including vascular endothelial growth factor A (VEGFa), fibroblast growth factor 2 (FGF2), and matrix metalloproteinase 9 (MMP9), by directly targeting suppressor of cytokine signaling 1 (SOCS1). Downregulation of SOCS1 activates JAK2/STAT3 signaling pathway and elevates the expression levels of VEGFa, FGF2, and MMP9 in fibroblasts. Treatment with exosomes containing overexpressed miR-155 can promote angiogenesis, and the reduction of miR-155 in melanoma cell-secreted exosomes alleviates angiogenesis in vitro and in vivo. These results demonstrate that by promoting the expression of proangiogenic factors in recipient fibroblasts via SOCS1/JAK2/STAT3 signaling pathway, melanoma cell-secreted exosomal miR-155 can induce the proangiogenic switch of CAFs. Although tumor angiogenesis is modulated by various factors, exosomal miR-155 may be a potential target for controlling melanoma angiogenesis and used to set up novel strategies to treat melanoma.

Metabolic reprogramming is a hallmark of cancer. Stromal cells could function as providers of energy metabolites for tumor cells by undergoing the “reverse Warburg effect,” but the mechanism has not been fully elucidated. The interaction between the tumoral microvesicles (TMVs) and stroma in the tumor microenvironment plays a critical role in facilitating cancer progression. In this study, we demonstrated a novel mechanism for the TMV‐mediated glycometabolic reprogramming of stromal cells. After being incubated with TMVs, normal human gingival fibroblasts exhibited a phenotype switch to cancer‐associated fibroblasts and underwent a degradation of caveolin 1 (CAV1) through the ERKl/2‐activation pathway. CAV1 degradation further induced the metabolic switch to aerobic glycolysis in the fibroblasts. The microvesicle‐activated fibroblasts absorbed more glucose and produced more lactate. The migration and invasion of oral squamous cell carcinoma (OSCC) were promoted after being cocultured with the activated fibroblasts. Fibroblast–cancer cell glycometabolic coupling ring mediated by monocarboxylate transporter (MCT) 4 and MCT1 was then proved in the tumor microenvironment. Results indicated a mechanism for tumor progression by the crosstalk between tumor cells and stromal cells through the reverse Warburg effect via TMVs, thereby identifying potential targets for OSCC prevention and treatment.—Jiang, E., Xu, Z., Wang, M., Yan, T., Huang, C, Zhou, X., Liu, Q., Wang, L., Chen, Y., Wang, H., Liu, K., Shao, Z., Shang, Z. Tumoral microvesicle–activated glycometabolic reprogramming in fibroblasts promotes the progression of oral squamous cell carcinoma. FASEB J. 33, 5690–5703 (2019). www.fasebj.org

This study is aimed at determining how oral squamous cell carcinoma (OSCC) regulates the angiogenesis of HUVECs through miR‐210‐3p expression and exploring the relationship among miR‐210‐3p, its target protein, and the possible mechanism of angiogenesis regulation. miR‐210‐3p expression was detected in OSCC tissues and juxta cancerous tissues (JCT), and the relationship among miR‐210‐3p, microvessel density (MVD), and histopathologic features was analyzed. A conditioned medium (CM) of the OSCC cell line CAL27 was collected to stimulate human umbilical vein endothelial cells (HUVECs), and the miR‐210‐3p levels and tube formation capability of HUVECs were measured. The target protein level of miR‐210‐3p was altered; then, PI3K/AKT pathway activation in HUVECs was detected. miR‐210‐3p was tested in exosomes separated from CAL27 CM, and the transfer of miR‐210‐3p from OSCC exosomes to HUVECs was verified. Then, we found that the OSCC tissues had higher miR‐210‐3p levels than the JCT, and miR‐210‐3p level was positively correlated with MVD and tumor grade. CAL27 CM was able to elevate miR‐210‐3p levels in HUVECs and promoted tube formation. EFNA3 was the target gene of miR‐210‐3p, and ephrinA3 protein level was able to influence the migration and proliferation of HUVECs. The levels of phosphorylated AKT in the HUVECs increased when ephrinA3 was downregulated, and the upregulation of ephrinA3 resulted in the suppression of the PI3K/AKT pathway. miR‐210‐3p was detected in exosomes isolated from the CM of CAL27 cells, and miR‐210‐3p level in the HUVECs was elevated after absorbing the OSCC exosomes. In conclusion, miR‐210‐3p was more overexpressed in OSCC tissues than in the JCT. The exosomes secreted by OSCC cells were able to upregulate miR‐210‐3p expression and reduce ephrinA3 expression in HUVECs and promoted tube formation through the PI3K/AKT signaling pathway.

Melatonin is an endogenous hormone with various biological functions and possesses anti‐tumor properties in multiple malignancies. Immune evasion is one of the most important hallmarks of head and neck squamous cell carcinoma (HNSCC) and is closely related to tumor progression. However, as an immune modulator under physiological conditions, the roles of melatonin in tumor immunity in HNSCC remains unclear. In this study, we found that the endogenous melatonin levels in patients with HNSCC were lower than those in patients with benign tumors in head and neck. Importantly, lower melatonin levels were related to lymph node metastasis among patients with HNSCC. Moreover, melatonin significantly suppressed programmed death‐ligand 1 (PD‐L1) expression and inhibited epithelial–mesenchymal transition (EMT) of HNSCC through the ERK1/2/FOSL1 pathway in vitro and in vivo. In SCC7/C3H syngeneic mouse models, anti‐programmed death‐1 (PD‐1) antibody combined with melatonin significantly inhibited tumor growth and modulated anti‐tumor immunity by increasing CD8⁺ T cell infiltration and decreasing the regulatory T cell (Treg) proportion in the tumor microenvironment. Taken together, melatonin inhibited EMT and downregulated PD‐L1 expression in HNSCC through the ERK1/2/FOSL1 pathway and exerted synergistic effects with anti‐PD‐1 antibody in vivo, which could provide promising strategies for HNSCC treatment.

Oral squamous cell carcinoma (OSCC) therapy is unsatisfactory, and the prevalence of the disease is increasing. The role of mitochondria in OSCC therapy has recently attracted increasing attention, however, many mechanisms remain unclear. Therefore, we elaborate upon relative studies in this review to achieve a better therapeutic effect of OSCC treatment in the future. Interestingly, we found that mitochondria not only contribute to OSCC therapy but also promote resistance, and targeting the mitochondria of OSCC via nanoparticles is a promising way to treat OSCC.

Objectives: Lymph node (LN) metastasis is a common cause of recurrence in oral cancer; however, the accuracy of distinguishing positive and negative LNs is not ideal. Here, we aimed to develop a deep learning model that can identify, locate, and distinguish LNs in contrast-enhanced CT (CECT) images with a higher accuracy. Methods: The preoperative CECT images and corresponding postoperative pathological diagnoses of 1466 patients with oral cancer from our hospital were retrospectively collected. In stage I, full-layer images (five common anatomical structures) were labeled; in stage II, negative and positive LNs were separately labeled. The stage I model was innovatively employed for stage II training to improve accuracy with the idea of transfer learning (TL). The Mask R-CNN instance segmentation framework was selected for model construction and training. The accuracy of the model was compared with that of human observers. Results: A total of 5412 images and 5601 images were labeled in stage I and II, respectively. The stage I model achieved an excellent segmentation effect in the test set (AP₅₀-0.7249). The positive LN accuracy of the stage II TL model was similar to that of the radiologist and much higher than that of the surgeons and students (0.7042 vs. 0.7647 (p = 0.243), 0.4216 (p < 0.001), and 0.3629 (p < 0.001)). The clinical accuracy of the model was highest (0.8509 vs. 0.8000, 0.5500, 0.4500, and 0.6658 of the Radiology Department). Conclusions: The model was constructed using a deep neural network and had high accuracy in LN localization and metastasis discrimination, which could contribute to accurate diagnosis and customized treatment planning. Key Points: • Lymph node metastasis is not well recognized with modern medical imaging tools. • Transfer learning can improve the accuracy of deep learning model prediction. • Deep learning can aid the accurate identification of lymph node metastasis.