Metabolic reprogramming is one of the main characteristics of malignant tumors. The metabolic reprogramming of tumors is not only related to the characteristics of cancer cells, but also closely related to the tumor microenvironment (TME). ‘Aerobic glycolysis’ is considered to be the classic metabolic mode of tumor cells. However, recent experiments have shown that the TME plays a key role in carcinogenesis and epithelial‑mesenchymal transition. Cancer‑associated fibroblasts (CAFs) dominate in the microenvironment and affect the homeostasis of the TME. The interaction between cancer cells and the surrounding CAFs markedly affects the growth, metabolism, metastasis, and progression of cancer. Based on this, a ‘dual‑chamber’ model, also known as the ‘Reverse Warburg effect’, is proposed. Specifically, cancer cells secrete hydrogen peroxide into the TME to induce oxidative stress in neighboring stromal cells. CAFs undergo aerobic glycolysis and produce high levels of energy‑rich ‘fuels’ (such as pyruvate, ketone bodies, fatty acids, and lactic acid). In turn, these energy‑rich ‘fuels’ then ‘feed’ cancer cells. The mitochondrial oxidative phosphorylation system produces a large quantity of ATP, such that tumor cells have a higher proliferation ability. The proposed ‘Reverse Warburg effect’ redefines the tumor cell microenvironment and tumor metabolic reprogramming. Therefore, understanding the ‘Reverse Warburg effect’ of CAFs and its related mechanisms will help us to understand the association between the microenvironment, the matrix, and cancer cells, and may lead to new treatment strategies and targets.

Cluster of differentiation 38 (CD38) is a multifunctional extracellular enzyme on the cell surface with NADase and cyclase activities. CD38 is not only expressed in human immune cells, such as lymphocytes and plasma cells, but also is abnormally expressed in a variety of tumor cells, which is closely related to the occurrence and development of tumors. T cells are one of the important immune cells in the body. As NAD consuming enzymes, CD38, ART2, SIRT1 and PARP1 are closely related to the number and function of T cells. CD38 may also influence the activity of ART2, SIRT1 and PARP1 through the CD38-NAD⁺ axis to indirectly affect the number and function of T cells. Thus, CD38-NAD⁺ axis has a profound effect on T cell activity. In this paper, we reviewed the role and mechanism of CD38⁺ CD4⁺ T cells / CD38⁺ CD8⁺ T cells in cellular immunity and the effects of the CD38-NAD⁺ axis on T cell activity. We also summarized the relationship between the CD38 expression level on T cell surface and disease prediction and prognosis, the effects of anti-CD38 monoclonal antibodies on T cell activity and function, and the role of anti-CD38 chimeric antigen receptor (CAR) T cell therapy in tumor immunity. This will provide an important theoretical basis for a comprehensive understanding of the relationship between CD38 and T cells.

α-linolenic acid (ALA), which is a member of the n-3 polyunsaturated fatty acid (n-3 PUFA) family, has often been ignored due to a lack of information. ALA has gradually attracted increased attention due to its nutritional and medicinal advantages. Studies have shown that ALA exerts beneficial effects on a variety of diseases, including cancer. In this review, we summarize the antitumor effects of ALA in the context of cell biology, including the inhibition of proliferation, the induction of apoptosis, the inhibition of metastasis and angiogenesis, and antioxidant effects. In addition, studies have shown that ALA can be used as a drug carrier or exert positive clinical effects when combined with drugs. Therefore, the use of ALA in clinical treatments is very promising and valuable.

Nasopharyngeal carcinoma (NPC) is a kind of head-and-neck malignant tumor, and distant metastasis treatment resistance is the leading cause of patient death. In-depth understanding of NPC progression and treatment failure remains to be explored. Long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) are noncoding RNAs that play key regulatory role in shaping tumor cell activities. Recent studies have revealed that lncRNA and circRNA function as competitive endogenous RNAs (ceRNAs) by regulating the posttranscriptional expression of genes as miRNA baits. The imbalanced ceRNA networks derived from lncRNA/circRNA-miRNA-mRNA interaction are widely found to contribute to NPC development. Herein, we summarize typical examples of lncRNA/circRNA-associated ceRNAs in recent years, which involved the potential molecular mechanisms in the regulation of proliferation, apoptosis, treatment resistance and metastasis of NPC, and discuss their potential clinical significance in the prognosis and treatment of NPC. Interpreting the involvement of ceRNAs networks will provide new insight into the pathogenesis and treatment strategies of NPC. However, ceRNA regulatory mechanism has some limitations currently. Screening the most effective ceRNA targets and the clinical application of ceRNA still has many challenges.

Signal transducer and activator of transcription 3 (STAT3), as a key node in numerous carcinogenic signaling pathways, is activated in various tumor tissues and plays important roles in tumor formation, metastasis, and drug resistance. STAT3 is considered a potential subtarget for tumor therapy. Noncoding RNA (ncRNA) is a special type of RNA transcript. Transforming from “junk” transcripts into key molecules involved in cell apoptosis, growth, and functional regulation, ncRNA has been proven to be closely related to various epithelial–mesenchymal transition and drug resistance processes in tumor cells over the past few decades. Research on the relationship between transcription factor STAT3 and ncRNAs has attracted increased attention. To date, existing reviews have mainly focused on the regulation by ncRNAs on the transcription factor STAT3; there has been no review of the regulation by STAT3 on ncRNAs. However, understanding the regulation of ncRNAs by STAT3 and its mechanism is important to comprehensively understand the mutual regulatory relationship between STAT3 and ncRNAs. Therefore, in this review, we summarize the regulation by transcription factor STAT3 on long noncoding RNA, microRNA, and circular RNA and its possible mechanisms. In addition, we provide an update on research progress on the regulation of STAT3 by ncRNAs. This will provide a new perspective to comprehensively understand the regulatory relationship between transcription factor STAT3 and ncRNAs, as well as targeting STAT3 or ncRNAs to treat diseases such as tumors.

Renal cell carcinoma is the most common and most lethal genitourinary tumor. The causes of renal clear cell carcinoma are complex and the heterogeneity of the tumor tissue is high, so patient outcomes are not very satisfactory. Exploring biomarkers in the progression of renal clear cell carcinoma is crucial to improve the diagnosis and guide the treatment of renal clear cell carcinoma. LRP6 is a co-receptor of the Wnt/β-catenin signaling pathway, which is involved in cell growth, inflammation and cell transformation through activation of the Wnt/β-catenin signaling pathway. Abnormal expression of LRP6 is associated with the malignant phenotype, metastatic potential and poor prognosis of various tumors. In this study, we found that LRP6 was abnormally highly expressed in a variety of tumors and significantly correlated with microsatellite instability, tumor mutation burden, and immune cell infiltration and immune checkpoint expression in a variety of tumors. Moreover, we found that LRP6 was significantly associated with the prognosis of renal clear cell carcinoma. Further we found a significant correlation between LRP6 and the expression of m6A-related genes and ferroptosis-related genes. Finally, we also found a significant correlation between the expression of LRP6 and the sensitivity to common drugs used in kidney clear cell carcinoma treatment. These results suggest that LRP6 is likely to be a potential target for kidney clear cell carcinoma treatment.