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Treatment Choices for Tenosynovial Giant Cell Tumor: Surgery or Observation?

Cancer Research on Prevention and Treatment.2025;52(1):1-6. doi:10.3971/j.issn.1000-8578.2025.24.0656

Tenosynovial giant cell tumor (TGCT) is a rare mesenchymal tumor that clinically presents as nodular-type or diffuse-type (D-TGCT). D-TGCT is more aggressive, has a higher surgical recurrence rate, and can potentially lead to severe joint destruction. The traditional treatment is primarily through surgical intervention. Recent advancements in understanding the molecular mechanisms of the disease and the development of new drugs have significantly changed TGCT treatment strategies. Drug therapy and active surveillance have become important treatment options for unresectable or high-recurrence-risk TGCT. Imaging examinations and patient-reported outcome tools play a crucial role in evaluating efficacy and guiding treatment decisions. Comprehensive management by a multidisciplinary team and utilizing individualized treatment plans can significantly improve the quality of life and treatment outcomes of patients. Future research should explore the molecular mechanisms of TGCT, enhance multidisciplinary collaboration, and emphasize long-term management to improve treatment efficacy and patient prognosis.

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Idea of Synergistic and Comprehensive Treatment of Malignant Tumors with Traditional Chinese Medicine Discussed from Theory of “Cancer State”

Zhong LI

Cancer Research on Prevention and Treatment.2025;52(1):7-10. doi:10.3971/j.issn.1000-8578.2025.24.0771

Cancer is a major public health problem worldwide, and although synergistic and comprehensive treatment with traditional Chinese medicine (TCM) has made some promising achievements in recent years, the prevention and treatment situation remains considerably serious. For optimizing the role of Chinese medicine in the clinic to fight against cancer, inheriting and innovating at the same time are necessary. The author, inspired by clinical and classical theories, innovatively put forward the theory of “cancer state” and proposed that the root of cancer treatment is to change the “cancer state”. In this study, I reflect on the current situation of TCM synergistic treatment of malignant tumors and analyze “cancer state theory”, with the hope of enriching the theoretical base of TCM evidence-based treatment of malignant tumors and providing new ideas and references for the individualized use of medicines in the clinical TCM evidence-based treatment of malignant tumors.

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Research Progress of Fuzheng Jiedu Huayu Method in Reducing Toxicity and Enhancing Efficacy of Immunotherapy

Yufan CHEN ; Sicong LI ; Yiyuan CUI ; Li FENG

Cancer Research on Prevention and Treatment.2025;52(1):11-18. doi:10.3971/j.issn.1000-8578.2025.24.0839

Immunotherapy, including immune checkpoint inhibitors, tumor vaccine therapy, oncolytic virotherapy, and adoptive cell therapy, has made remarkably breakthroughs in the field of oncology. Immune checkpoint inhibitors, which block programmed death receptor 1 or programmed death ligand 1, have been included in the first-line clinical treatment for advanced solid tumors, such as non-small cell lung cancer and malignant melanoma. However, primary or secondary drug resistance in tumors severely limits the survival benefits for patients. Immune-related adverse reactions, such as pneumonia, hypothyroidism, hypophysitis, and myocarditis, also greatly affect the quality of life of patients. Fuzheng Jiedu Huayu is an important concept guiding the prevention and treatment of tumors with traditional Chinese medicine (TCM). It is also a curative principle and therapeutic TCM method to reduce the toxicity and enhance the efficacy of immunotherapy. This article summarizes the research progress of immunotherapy and discusses how TCM reduces the toxicity and enhances the efficacy of immunotherapy, hoping to provide a reference for the integrated treatment of tumors with TCM and immunotherapy.

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Clinicopathological Characteristics of Middle-Aged and Elderly Patients with Colorectal Polyps and Risk Factors of Adenomatous Polyps

Rui CHENG ; Rui GONG ; Wei JIANG ; Shutian ZHANG

Cancer Research on Prevention and Treatment.2025;52(1):19-24. doi:10.3971/j.issn.1000-8578.2025.24.0746

Objective To determine the risk factors related to the occurrence of colorectal adenomatous polyps and provide a basis for early screening, diagnosis, and treatment of colorectal cancer. Methods A total of 1 527 cases of colorectal polyps detected by colonoscopy were selected as the research subjects. Data on sociodemographic information, lifestyle and dietary habits, clinical history, laboratory tests, and endoscopic characteristics were collected. The patients were divided into adenoma and non-adenoma groups based on the pathological type. Multivariate logistic regression analysis was conducted to explore the influence of the above factors on the occurrence of colorectal adenoma. Results Old age (OR: 1.024, 95%CI: 1.001-1.048, P=0.044), high body mass index (OR: 1.046, 95%CI: 1.008-1.087, P=0.020), and a history of smoking (OR: 1.493, 95%CI: 1.035-2.158, P=0.032) were independent risk factors for the occurrence of colorectal adenoma. Patients with better cognitive function had a lower risk of developing colorectal adenoma than those with poorer cognitive function (OR: 0.929, 95%CI: 0.871-0.984, P=0.017). Polyps located in the rectum (OR: 0.396, 95%CI: 0.229-0.677, P=0.001) and those of flat type (OR: 0.531, 95%CI: 0.342-0.810, P=0.004) or laterally spreading type (OR: 0.306, 95%CI: 0.135-0.698, P=0.005) were more likely to be non-adenomatous polyps. The possibility of adenomatous pathological changes increased significantly with an increase in polyp size (OR: 1.063, 95%CI: 1.035-1.095, P<0.001). Conclusion Old age, high body mass index, smoking history, and large polyp diameters are related with a high risk of adenoma in the patients with colorectal polyps. Patients who have satisfactory cognitive function, polyps located in the rectum and polyps of flat type or laterally spreading type are likely to have non-adenoma.

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Role of Central Nervous System Circuits in Promotion of Breast Cancer Progression by Depression

Yingchao WU ; Yuqi LIANG ; Qian ZUO ; Qianjun CHEN

Cancer Research on Prevention and Treatment.2025;52(1):25-30. doi:10.3971/j.issn.1000-8578.2025.24.0841

With the development of neuroscience and oncology, the direct regulation effect of central nervous system circuits on tumors has been gradually revealed. Evidence indicates that the therapy targeting emotion-related encephalic regions may have great potential in blocking the promotion of breast cancer progression by depression. The underlying complex mechanisms involve the generation of depression and the regulation of tumors by central nervous system circuits. However, a systematic summary is lacking in this field. This article reviews the latest research progress of the central nervous system circuits and the generation of depression, the neural connection between the central nervous system and peripheral tumor, and the regulation of the tumor immune microenvironment by the sympathetic nervous system. It also systematically investigates the potential mechanism of the central nervous system circuit in the promotion of breast cancer progression by depression to establish new solutions for the comprehensive treatment of breast cancer.

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Prognostic Factors of Liposarcoma in Head and Neck

Shuo DING ; Zhigang HUANG ; Jugao FANG ; Yang ZHANG ; Lizhen HOU ; Wei GUO ; Gaofei YIN ; Qi ZHONG

Cancer Research on Prevention and Treatment.2025;52(1):31-35. doi:10.3971/j.issn.1000-8578.2025.24.0884

Objective To explore the pathogenesis and prognostic factors of liposarcoma in the head and neck region, and simultaneously analyze the efficacy of different treatment regimens. Methods A retrospective analysis was performed on all patients with primary untreated head and neck liposarcoma who were diagnosed and underwent surgical treatment at our hospital from January 2008 to January 2024. All patients were monitored during follow-up, and their prognoses were analyzed using SPSS software. Results A total of 30 patients were included in the study. Liposarcoma accounted for up to 60% of the cases in the orbit, while the remaining liposarcomas were primarily located in various interspaces of the neck. Dedifferentiated liposarcoma was the most common type, comprising 33%, while myxoid pleomorphic liposarcoma was the rarest at 4%. The tumor pathological type (P<0.001) and Ki67 (P=0.014) significantly affected the tumor control rate. However, an analysis of disease-specific survival rates revealed no significant differences across various factors (all P>0.05). Conclusion The prognosis of head and neck liposarcoma is better compared to that of liposarcomas in other parts of the body. However, myxoid pleomorphic liposarcoma, pleomorphic fat sarcoma, and high Ki67 levels are indicators of poor prognosis. Additionally, postoperative adjuvant radiotherapy does not significantly enhance disease-specific survival rates.

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Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer

Shengli SHAO ; Jiheng WANG ; Shanting LIU

Cancer Research on Prevention and Treatment.2025;52(1):36-41. doi:10.3971/j.issn.1000-8578.2025.24.0761

Papillary thyroid carcinoma (PTC) can exhibit lateral neck lymph node metastasis at an early stage. Lateral neck lymph node metastasis is a crucial factor affecting the prognosis of PTC and is an absolute indication for neck lymph node dissection surgery. Additionally, it is a relative contraindication of endoscopic surgery for most medical centers. Therefore, the preoperative identification of lateral neck lymph node metastasis is vital for surgical decision-making and prognosis assessment. Ultrasound, CT, cytology, and clinical features can provide some information on lateral neck lymph node metastasis, but their accuracy does not fully meet clinical needs. Deep learning is a primary method for medical image recognition or feature extraction. In recent years, deep learning-based ultrasound, CT, cytology, conventional clinical parameters, or multimodal models combining these data have been developed and are expected to achieve routine clinical application. With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. Furthermore, it can be integrated into electronic medical record systems for automated real-time analysis and assist clinical decision-making.

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Genetic Determinants of Immune Cells and Hepatocellular Carcinoma Risk: A Bioinformatics and Bidirectional Mendelian Randomization Study

Tong WU ; Fei GAO ; Fei TENG ; Qiaoli ZHANG

Cancer Research on Prevention and Treatment.2025;52(1):42-51. doi:10.3971/j.issn.1000-8578.2025.24.0562

Objective To identify core targets of hepatocellular carcinoma (HCC) by using bioinformatics and specific algorithms, explore their relationships with immune cells, and investigate the causal relationships between immune cells and HCC through Mendelian randomization. Methods Relevant genes associated with the development of HCC were screened using the GEO and TCGA databases. Immune infiltration analysis was conducted using GSVA and CIBERSORT algorithms. A bidirectional Mendelian randomization analysis was then performed to explore the causal relationships between immune cells and HCC. Results A total of 284 HCC-related genes were identified, with 120 genes recognized within the protein interaction network. Immune infiltration analysis revealed significant correlations between key genes and immune cells. Mendelian randomization results indicated that HLA DR on CD33⁺ HLA DR⁺ CD14dim (OR=1.097, 95%CI: 1.002–1.201, P=0.045, P_Bonferroni=0.091) and CD8 on CD28⁺ CD45RA⁺ CD8⁺ T cell (OR=1.123, 95%CI: 1.027–1.228, P=0.011, P_Bonferroni=0.022) were the risk factors for HCC. Conversely, HLA DR⁺⁺ monocyte absolute count was identified as a protective factor for HCC (OR=0.812, 95%CI: 0.702–0.938, P=0.005, P_Bonferroni=0.139). Conclusion The occurrence and development of liver cancer may be related to CDK1, CCNB1, and CDC20, showing a high degree of correlation with Th2 cells, T helper cells, Th17 cells, and DCs. Mendelian randomization shows that HLA DR on CD33⁺HLA DR⁺ CD14dim and CD8 on CD28⁺CD45RA⁺CD8⁺T cells are associated with an increased risk of HCC. The risk of hepatocellular carcinoma is associated with a decrease in the level of HLA DR⁺⁺monocyte absolute count.

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Pan-Cancer Analysis of Disulfidptosis-Related Genes Affecting Prognosis and Tumor Microenvironment

Jingyang SUN ; Rongxuan JIANG ; Liren HOU ; Huanhuan DONG ; Yihan LIN ; Niuniu DONG ; Guangjian ZHANG ; Yanpeng ZHANG

Cancer Research on Prevention and Treatment.2025;52(1):52-61. doi:10.3971/j.issn.1000-8578.2025.24.0302

Objective To assess the potential role of disulfidptosis-related genes (DRGs) in pan-cancer on prognosis and immunity on the basis of bioinformatics approaches. Methods Pan-cancer RNA-seq data, mutation profiles, clinical information, TMB, MSI, stemness scores, and tumor and immune microenvironment data contained in TCGA and various open-source online databases, and multi-group R-language algorithms were used for comprehensive analysis. The expression levels of DRGs at the cellular level were experimentally validated using qPCR. Results LRPPRC, NCKAP1, NDUFS1, and NUBPL had a better prognosis in renal clear cell carcinoma (P<0.001), whereas SLC7A11, NCKAP1, and SLC3A2 had a worse prognosis in hepatocellular carcinoma (P<0.001). TME analysis showed that LRPPRC was negatively correlated with immune cells, stromal cells, and estimated scores in all tumor types. TMB analysis revealed the potential research value of DRGs for PD-1/PD-L1 therapy in pan-cancer. Drug sensitivity analysis showed that SLC7A11 (r=0.454), SLC3A2 (r=0.366), and NCKAP1 (r=0.455) were significantly associated with Kahalide F (P<0.01). Experimental validation demonstrated the overall higher expression levels of GYS1 and NCKAP1 than normal cells in lung adenocarcinoma, colon adenocarcinoma, esophageal squamous carcinoma, and hepatocellular carcinoma (P<0.05). Conclusion Pan-cancer analysis of DRGs indicates that DRGs may serve as important biomarkers for the diagnosis and prognosis of renal clear-cell carcinoma, lung adenocarcinoma, and hepatocellular carcinoma.

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Exploration and Verification of Prognostic Value of Endothelial Cells in Glioblastoma

Hengchao MA ; Yuyang LIU ; Jun XU ; Bingyan TAO ; Jun ZHANG

Cancer Research on Prevention and Treatment.2025;52(1):62-67. doi:10.3971/j.issn.1000-8578.2025.24.0346

Objective To explore and verify the prognostic value of endothelial cells in glioblastoma. Methods Through bioinformatics analysis of the TCGA and CGGA databases, we screened endothelial cell-related markers in GBM single-cell data according to a series of criteria. Moreover, univariate Cox regression analysis was performed to obtain and screen endothelial cell prognosis-related markers and construct endothelial cell-related prognostic risk score. qPCR experiments was used to verify the differences in the expression of prognostic markers in GBM tissues and peritumoral normal brain tissues. Kaplan-Meier method was used to construct the survival curve to identify the prognostic efficacy of the prognostic risk score. Results A total of 2 115 prognostic genes of glioblastoma (GBM) were screened. Among them, 1 494 was upregulated and 621 was downregulated. Seven groups of cells were obtained after GBM single-cell sequencing analysis, including AC-like tumor cells, endothelial cells, monocytes/macrophages, NB-like tumor cells, neurons, OC-like tumor cells, and OPC-like tumor cells. According to the differential genes of endothelial cells and the corresponding screening criteria, four genes (DUSP6, STC1, VWA1, and TM4SF1) were screened for risk-score construction. The expression of the target gene in GBM tissues and normal brain tissues around the tumor was significantly up-regulated detected by qPCR. The risk score=0.171*DUSP6+0.144*STC1+0.041*VWA1−0.004*TM4SF1. Conclusion The glioblastoma endothelial cells’ risk score determined in this study can preferably predict the prognosis of patients.

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