Translational Cancer Research

RNA sequencing and bioinformatics analysis have identified as a potential biomarker and therapeutic target for cervical cancer
Xie Z, Shen T, Wang Y, Ma R, Xu H, Zhang R and Su H
Cervical cancer (CC) is a widely recognized malignant tumor that imposes a substantial economic burden on the global healthcare system. Currently, treatment options for patients with advanced metastatic and recurrent CC are suboptimal. Therefore, further in-depth research into the characteristics of CC occurrence and metastasis may provide additional reference indicators for patient diagnosis, treatment, and prognosis. This study aims to screen differential genes in CC via transcriptome sequencing and bioinformatics analysis, verify the role of microtubule-associated serine/threonine kinase 1 () in CC, and explore its underlying molecular mechanisms, providing a basis for CC diagnosis and treatment.
Transcriptomics combined with experimental validation probes polyamine metabolic profiles in low-grade gliomas
Pan L, Chen H, Zhang X, Zhang J and Lian C
Polyamine metabolism supports the growth of myeloid-derived suppressor cells (MDSCs) in gliomas and is involved in developing an immunosuppressive state. However, the molecular patterns and prognostic features in low-grade gliomas (LGG) have not been adequately studied. This study was dedicated to exploring core targets of polyamine metabolism in LGG.
Study of non-surgical therapeutic patterns and prognosis in elderly patients with stage II non-small-cell lung cancer: an investigational study based on the SEER database
Zhang L, Xu X and Gao Y
While surgery remains the standard of care for stage II non-small-cell lung cancer (NSCLC) for most patients, numerous older patients are non-surgical candidates because of either frailty or comorbidities. We aim to assess the comparative effectiveness of chemoradiotherapy (CRT) compared to radiotherapy (RT) for older patients with stage II NSCLC using data from the Surveillance, Epidemiology, and End Results (SEER) database and propensity score matching (PSM) methods. Surgery remains the approved standard of care for stage II NSCLC. But for older populations, those aged 65 years or older, they often may not undergo surgery for a variety of reasons.
ATP citrate lyase (ACLY) promotes the occurrence of gastric cancer through regulating lipid metabolism
Zhang S, Liu Y, Zhang X, Zhang N, Sun J and Chen P
Gastric cancer (GC) is a leading cause of cancer-related mortality worldwide, and lipid metabolism reprogramming plays a crucial role in tumor progression. ATP citrate lyase (ACLY), a key enzyme in lipid synthesis, has been implicated in multiple cancers, but its role in GC remains incompletely understood. This study aimed to investigate the expression, prognostic significance, and potential molecular mechanisms of ACLY in GC, with a particular focus on its relationship with lipid metabolism and ubiquitination.
Integrative analysis of the potential of DISP3 as a biomarker for thyroid cancer
Lu C and Wang X
Thyroid cancer (THCA) is a common endocrine malignancy with diverse prognostic outcomes. The role of dispatched RND transporter family member 3 (DISP3) in tumorigenesis remains unclear. This study aimed to investigate DISP3's biomarker potential in THCA.
Ferroptosis-associated RNA-binding proteins predict clinical outcomes in head and neck squamous cell carcinoma
Liu M, Zhang Z, Shi L and Shi G
Head and neck squamous cell carcinoma (HNSCC) is an aggressive malignancy with limited improvements in survival outcomes. Increasing evidence highlights the role of ferroptosis, an iron-dependent form of regulated cell death, and RNA-binding proteins (RBPs) in tumor progression. However, the prognostic significance of ferroptosis-associated RBPs in HNSCC remains unclear. This study aimed to develop and validate a ferroptosis-associated RBP signature to improve survival prediction and explore its relationship with the immune microenvironment in HNSCC.
A novel disulfidptosis-related lncRNAs index to predict prognosis and therapeutic target in hepatocellular carcinoma
Gao XF, Xu XL, Zhang JH, Zhang H, Cai LQ, Gao F, Zhang JL, Yu D and Tai QW
Characterized by its significant occurrence and high fatality, hepatocellular carcinoma (HCC) presents a challenge with treatments frequently leading to less than ideal results. The mechanism of action behind disulfidptosis, a newly identified pathway of cell death, is not well comprehended when related to HCC. This research aims to investigate a model that employs long non-coding RNA (lncRNA) associated with disulfidptosis for predicting the prognosis of liver cancer and identifying potential therapeutic measures.
Unveiling critical genes and molecular subtypes in ovarian cancer: insights into tumor immunity and carbohydrate-lipid metabolism
Zhang Y, Zhang W, Xie W, Wang X and Wei P
Ovarian cancer (OC) has the highest mortality rate among all gynecological cancers, yet its pathogenesis remains unclear. This study aims to use integrated bioinformatics methods to identify important biomarkers and subtypes closely related to tumor immunity and fatty acid synthesis in OC.
Development and validation of a machine learning model for predicting 3-year overall survival in metastatic nasopharyngeal carcinoma: a SEER database and web visualization study
Qiu L, Fei Y, Zhu Y, Shi K, Yuan J, Jiang G, Sun X, Cao Y, Xu W and Zhou S
Current prognostic models for metastatic nasopharyngeal carcinoma (M1-NPC) often employ oversimplified "catch-all" classifications that fail to account for the substantial heterogeneity in metastatic patterns and treatment responses. Furthermore, existing tools lack interactive visualization capabilities to support clinical decision-making. In this study, we aim to develop and validate a visual prognostic model for 3-year overall survival (OS) in M1-NPC patients.
Integrative single-cell and bulk transcriptomes analyses reveal T cell-related prognostic risk model and tumor immune microenvironment modulation in colorectal cancer
Liu P, Wang Y, Huang S, Luo R, Xie R, Peng J, Wang R, Wang P, Shi X, Zhang W, Shi L, Zhou X and Tang X
Colorectal cancer (CRC) is among the most common and lethal cancers worldwide. Recent advances in tumor immunotherapy have highlighted the importance of T-cell subsets and the tumor microenvironment (TME) in CRC, both critical for mounting a successful anti-tumor immune response. Thus, there is an urgent need for comprehensive research in these areas to accelerate the development of personalized immunotherapeutic strategies for CRC patients. Therefore, this study aims to explore T-cell heterogeneity, identify characteristic genes, and develop a reliable prognostic model to predict patient outcomes and immunotherapy responses.
Erratum: Efficacy of transcatheter arterial chemoembolization-based multimodal treatment in patients with neuroendocrine tumors involving the liver
[This corrects the article DOI: 10.21037/tcr-2024-2482.].
B7 homolog 6 promotes the killing activity of natural killer cells against cervical cancer through the downstream ERK pathway of NKp30
Guo R, Chai O, Li C, Xu Y and Guo X
Cervical cancer is a common female malignant tumor which lacks of effective immunotherapy drugs. There are a large number of studies about immune regulation of cervical cancer, but the involvement of innate immunity is rarely reported. As a ligand of NKp30, B7 homolog 6 (B7-H6) is involved in the immune regulation of various tumors. The aim of the present study was to clarify the effect of B7-H6 expression in HeLa cells on the killing function of natural killer (NK) cells.
Development and validation of a prognostic prediction model for gastric cancer based on lipophagy-related genes
Wusiman L, Song D, Tulahong A, Abudukelimu A, Liu J, Wei X, He S and Zhang W
Gastric cancer (GC), as a heterogeneous disease, lacks clear clinical indications, and existing methods based on histological classification are insufficient for individualized stratified treatment of GC patients. Lipophagy-related genes (LRGs) are involved in the progression of GC, but their role in GC remains unclear. This study aims to develop and validate a lipophagy-related prognostic model to improve the predictive ability for GC prognosis.
Predictive factors for clinical outcome of palliative ventriculoperitoneal shunt in the treatment of leptomeningeal metastasis
Min L, Zhang N, Zhang Q, Zheng M and Zhu Y
Leptomeningeal metastasis (LM) is associated with poor prognosis and affects the quality of life (QOL) of end-stage cancer patients, particularly when accompanied by hydrocephalus. Ventriculoperitoneal shunt (VPS) is recognized as an effective therapy for patients with this condition, but previous studies have focused on clinical effects. This study aimed to explore the predictors of clinical outcome in patients with LM who underwent VPS.
Identification of the immune subtypes associated with the prognosis and immunotherapy of metastatic melanoma
Zhang F, Zhang X, Su H, Hong L, Wu Y and Shu C
Melanoma is an aggressive malignant tumor, characterized by high mortality. A growing amount of research indicates that the tumor immune microenvironment is closely associated with the survival outcomes and immunotherapy benefit for patients with advanced tumors. However, the molecular mechanisms underlying the effect of the tumor immune microenvironment on metastatic melanoma have not been clarified in detail. Therefore, this study aimed to identify potential effective immune-related tumor biomarkers for the prognosis and treatment of metastatic melanoma.
Identification of molecular subtypes for breast cancer based on butyrate metabolism-related genes to assess prognosis and immune landscape
Yao H, Hu X, Feng J and Tan L
Breast cancer (BRCA) ranks among the highest commonly occurring malignant tumors globally, posing a significant risk to women's health. Numerous studies suggest that butyrate holds potential as an anti-cancer compound across various human cancers. However, the impact on the initiation and progression of BRCA remains insufficiently explored. Therefore, this study aimed to identify molecular subtypes of BRCA based on butyrate metabolism-related genes, construct a prognostic model, and explore the associated immune landscape to provide insights for prognosis assessment and therapeutic strategies.
A diagnostic test evaluation: dynamic optical functional imaging system for early-stage breast cancer detection
He X, Fan L, Huang J, Zhang X, Ishii N, Wang X and Zhang J
The Dynamic Optical Breast Imaging (DOBI) ComfortScan system is a dynamic optical breast functional imaging system that analyses diffused light propagation through breast tissue. It continuously records the physiological properties of the tissue by applying a certain amount of pressure to the breasts that induces changes in blood hemoglobin concentration and the metabolic rates associated with the tumor angiogenesis of breast cancer. This study examined the clinical performance of dynamic optical functional imaging in the detection of malignant lesions, and compared the DOBI system with conventional imaging modalities. This novel diagnostic test addresses critical limitations of conventional imaging by providing functional assessment of tumor angiogenesis through hemoglobin dynamics, particularly valuable for dense-breast patients where mammography (MG) sensitivity declines.
Development and validation of a nomogram comprising GLUT1 and clinical characteristics for predicting overall survival in intrahepatic cholangiocarcinoma
Gong LP, Weng Y, Zhou J, Huang X, Chen JN, He D, Zhang YW, Cui Y, Liang J and Shao CK
Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive malignancy arising from the intrahepatic bile duct epithelium, with increasing global incidence and poor prognosis due to late diagnosis and limited therapeutic options. Current prognostic models such as tumor-node-metastasis (TNM) staging exhibit suboptimal accuracy and lack integration of molecular biomarkers. Our study aims to explore the prognostic significance of (encoding GLUT1) in iCCA and develop a predictive nomogram integrating clinical features.
The role of cancer stem cells in the progression of colorectal cancer and the tumor microenvironment: new perspectives from single-cell RNA sequencing and spatial transcriptomics analyses
Wu Y, Liu X, Liu W, Jiang Q, Li Y, Li H and Hao L
Colorectal cancer (CRC) progression and treatment resistance are closely linked to cancer stem cells (CSCs), yet their spatial dynamics and regulatory mechanisms remain poorly characterized. This study integrates single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) to define CRC stem cell subtypes (Co-CSS), map their interactions within the tumor microenvironment, and identify novel prognostic markers driving clinical outcomes.
The systemic immune-inflammation index in the efficacy prediction of neoadjuvant chemotherapy in patients with endometrial cancer
Lin J, Gu L, Carvalho FM, Della Corte L and Dang J
Patients with advanced endometrial cancer (EC) who undergo surgery after neoadjuvant chemotherapy have improved progression-free survival and overall survival rates. The systemic immune-inflammation index (SII), a novel comprehensive inflammatory biomarker, is associated with the development of various non-oncologic diseases and can predict the treatment efficacy and prognosis of cancer. The aim of this study was to determine the predictive value of SII for the efficacy of neoadjuvant chemotherapy in patients with inoperable EC or with surgical contraindications.
KRT23 promotes proliferation invasion and metastasis of gastric cancer through epithelial-mesenchymal transition mediated by the PI3K/AKT/mTOR signaling pathway
Xie Y, Zhou F, Li X and Peng P
Gastric cancer (GC) is a highly prevalent and lethal malignancy worldwide. Notwithstanding advances in treatment, suboptimal patient outcomes highlight the urgent need for novel therapeutic targets to improve survival. This study aimed to explore the influence of keratin 23 (KRT23) on the proliferation, migration, and invasion of GC cells, as well as its underlying molecular mechanism.