Research on liver transplantation (LT) for liver cancer has gained increasing attention. This paper has comprehensively described the current status, hotspots and trends in this field. A total of 2991 relevant articles from 1 January 1963 to 28 February 2023 were obtained from the Web of Science Core Collection. VOSviewer and CiteSpace software were utilized as bibliometric tools to analyze and visualize knowledge mapping. Between 1963 and 2023, the number of papers in the area of LT for liver cancer increased continuously. A total of 70 countries/regions, 2303 institutions and 14 840 researchers have published research articles, with the United States and China being the two most productive countries. Our bibliometric-based visual analysis revealed the expansion of LT indications for liver cancer and the prevention/treatment of cancer recurrence as ongoing research hotspots over the past decades. Meanwhile, emerging studies also focus on downstaging/bridging treatments before LT and the long-term survival of LT recipient, in particular the precise application of immunosuppressants.

Resistance to sorafenib severely hinders its effectiveness against hepatocellular carcinoma (HCC). Cancer stemness is closely connected with resistance to sorafenib. Methods for reversing the cancer stemness remains one of the largest concerns in research and the lack of such methods obstructs current HCC therapeutics. Ubiquitin‐specific protease 22 (USP22) is reported to play a pivotal role in HCC stemness and multidrug resistance (MDR). Herein, a galactose‐decorated lipopolyplex (Gal‐SLP) is developed as an HCC‐targeting self‐activated cascade‐responsive nanoplatform to co‐delivery sorafenib and USP22 shRNA (shUSP22) for synergetic HCC therapy. Sorafenib, entrapped in the Gal‐SLPs, induced a reactive oxygen species (ROS) cascade and triggered rapid shUSP22 release. Thus, Gal‐SLPs dramatically suppressed the expression of USP22. The downregulation of USP22 suppresses multidrug resistance‐associated protein 1 (MRP1) to induce intracellular sorafenib accumulation and hampers glycolysis of HCC cells. As a result, Gal‐SLPs efficiently inhibit the viability, proliferation, and colony formation of HCC cells. A sorafenib‐insensitive patient‐derived xenograft (PDX) model is established and adopted to evaluate in vivo antitumor effect of Gal‐SLPs. Gal‐SLPs exhibit potent antitumor efficiency and biosafety. Therefore, Gal‐SLPs are expected to have great potential in the clinical treatment of HCC.

Gastric cancer is one of the most common causes of cancer‐related death worldwide. The N⁶‐methyladenosine (m⁶A) reader IGF2BP1 (insulin‐like growth factor‐2 mRNA binding protein 1) has been reported to promote cancer progression by stabilizing oncogenic mRNAs through its m⁶A‐binding activity in some tumors. However, the role of IGF2BP1 in gastric carcinogenesis remains unclear. In this study, we found that IGF2BP1 is significantly downregulated in tumor tissues from patients with gastric cancer. Lower expression of IGF2BP1 is associated with poor prognosis. Gastric cancer cell proliferation is suppressed by IGF2BP1 in an m⁶A‐dependent manner. Additionally, IGF2BP1 is able to significantly attenuate tumor growth of gastric cancer cells. Further m⁶A sequencing and m⁶A‐RNA immunoprecipitation assays show that MYC (c‐myc proto‐oncogene) mRNA is a target transcript of IGF2BP1 in gastric cancer cells. IGF2BP1 inhibits gastric cancer cell proliferation by reducing the mRNA and protein expression of MYC. Mechanistically, IGF2BP1 promotes the degradation of MYC mRNA and inhibits its translation efficiency. Taken together, these data suggest that IGF2BP1 plays a tumor‐suppressive role in gastric carcinogenesis by downregulating MYC in an m⁶A‐dependent manner, thereby making the IGF2BP1‐MYC axis a potential target for gastric cancer treatment.

Background: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Accumulating evidence indicates that hypoxia and lactate metabolism play critical roles in tumor progression and therapeutic efficacy. This study aimed to construct a hypoxia- and lactate metabolism-related prognostic model (HLPM) to evaluate survival and treatment responses for HCC patients and develop a nomogram integrated with HLPM and clinical characteristics for prognosis prediction in HCC. Methods: Expression profile and clinical data of HCC were obtained from TCGA and ICGC databases. The univariate, LASSO and stepwise multivariate Cox analyses were used to identify the hypoxia- and lactate metabolism-related biomarkers, whose expression levels were then validated in 14 pairs tissue samples and single-cell RNA sequencing dataset. Kaplan–Meier survival curves were utilized to assess the prognostic values of biomarkers or models. Analyses of ImmuCellAI, TIDE and drug sensitivity were conducted to evaluate the therapeutic responses of patients. Furthermore, the nomogram integrated with hypoxic and lactate metabolic characteristics was established through univariate and multivariate Cox analyses. ROC curves, C-index, and calibration curves were depicted to evaluate the performance of the nomogram. Results: Five hypoxia- and lactate metabolism-related biomarkers (KIF20A, IRAK1, ADM, PPARGC1A and EPO) were used to construct HLPM. The expression of five prognostic biomarkers was validated in 14 pairs tissue samples and single-cell RNA sequencing dataset. Analyses of ImmuCellAI, TIDE and drug sensitivity implied that patients with low-risk score were more sensitive to immunotherapy and major chemotherapeutic agents. The nomogram that contained age, histological grade and risk score of HLPM was developed and exhibited a better capacity in prognosis prediction than HLPM only. Conclusion: A novel nomogram integrated with hypoxic and lactate metabolic characteristics was developed and validated for prognosis prediction in HCC, providing insight into personalized decision-making in clinical management.

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