Cancer spread to lymph nodes predicts poor survival but underlying mechanisms remain little understood. In this study, we show that overexpression of the long noncoding RNA LNMICC associates with lymph node metastasis of primary cervical cancer, where it serves as an independent high-risk factor in patient survival. Functional investigations demonstrated that LNMICC promoted lymph node metastasis by reprogramming fatty acid metabolism, by recruiting the nuclear factor NPM1 to the promoter of the fatty acid binding protein FABP5. We also found that the prometastatic effects of LNMICC were directly targeted and suppressed by miR-190. Our results establish a new mechanism of lymph node metastasis and highlight LNMICC as a candidate prognostic biomarker and therapeutic target in cervical cancer. Significance: These results establish the role of a novel long noncoding RNA in lymph node metastasis, with implications as a candidate prognostic biomarker and therapeutic target in cervical cancer. Cancer Res; 78(4); 877–90. ©2017 AACR.

Pelvic lymph node metastasis (PLNM) is an independent prognostic parameter and determines the treatment strategies of cervical cancer. Increasing evidence indicates that long non-coding RNAs (lncRNAs) play a crucial role in the process of tumor biological functions. This study aimed to mine lymph node metastasis-associated lncRNAs and investigate their potential pathophysiological mechanism in cervical cancer lymph node metastasis. We applied the lncRNA-mining approach to identify lncRNA transcripts represented on Affymetrix human genome U133 plus 2.0 microarrays from Gene Expression Omnibus (GEO) and then by validation in clinical specimens. The biological role and molecular mechanism of these lncRNAs were predicted by bioinformatic analysis. Subsequently, a receiver operating characteristic (ROC) curve and survival curve were conducted to evaluate the diagnostic and prognostic value of candidate lncRNAs. In total, 234 differentially expressed lncRNAs were identified to significantly associate with pelvic lymph node metastasis in early-stage cervical cancer. Our qRT-PCR results were consistent with the mining analysis (P<0.05). The functional enrichment analysis suggested that these lncRNAs may be involved in the biological process of lymph node metastasis. The ROC curves demonstrated satisfactory discrimination power of MIR100HG and AC024560.2 with areas under the curve of 0.801 and 0.837, respectively. Survival curve also indicated that patients with high MIR100HG expression had a tendency of poor prognosis. This is the first study to successfully mine the lncRNA expression patterns in PLNM of early-stage cervical cancer. MIR100HG and AC024560.2 may be a potential biomarkers of PLNM and these lncRNAs may provide broader perspective for combating cervical cancer metastasis.

Background & Aims: The long-term oncological outcome of Class I hysterectomy to treat stage IB1 cervical cancer is unclear. The aim of the present study was to compare the surgical and long-term oncological outcomes of Class I hysterectomy and Class III radical hysterectomy for treatment of stage IB1 cervical cancer (tumor ≤ 2 cm).

The expression of programmed death 1 (PD-1) on CD8⁺ T cells is associated with their activation and exhaustion, while CD57 serves as a senescence marker. The impact of PD-1⁺ and CD57⁺CD8⁺ T cells on the prognosis of patients with advanced high-grade serous ovarian cancer (HGSOC) remain unclear. We assessed the percentages of PD-1⁺ and CD57⁺CD8⁺ T cells in tumor-infiltrating lymphocytes (TILs, n=85) and tumor ascites lymphocytes (TALs, n=87) using flow cytometry. The optimal cutoffs for these markers in TILs and TALs were determined through the log-rank maximization method. Gene expression analysis elucidated the tumor immune microenvironment (TIME, n=36). Patients with higher PD-1⁺CD8⁺ TILs (>87.8%) exhibited longer platinum-free interval (PFI) and overall survival (OS). In contrast, those with elevated CD57⁺CD8⁺ TALs (>28.69%) were more likely to experience chemotherapy and had lower complete remission rates, shorter PFI and OS. PD-1⁺CD8⁺ TILs are primarily displayed an effector memory state with strong proliferative and secretory capabilities. Approximately 50% of CD57⁺CD8⁺ TALs were terminally differentiated, exhibiting significantly impaired proliferation. Based on the proportions of PD-1⁺CD8⁺ TILs and CD57⁺CD8⁺ TALs, patients were categorized into good, median and poor prognosis groups, with median PFI of 47.78, 27.29 and 11.96 months, respectively (P<0.0001). Median OS for these groups was not reach, 49.23 and 30.92 months, respectively (P<0.0001). Patients with poor prognosis exhibit significantly reduced CD8⁺ T cell proportion and increased M2 macrophage in the TIME, alongside downregulation of multiple T cell activation-related pathways. Lower levels of PD-1⁺CD8⁺ TILs and higher CD57⁺CD8⁺ TALs, assessed prior to treatment, correlated with poor prognosis and suppressive TIME in advanced HGSOC.

Background: To depict the prognostic landscape of gynecological cancers from the perspective of DNA methylation, alternative splicing (AS) and polyadenylation (APA) events and investigate their correlation with immune infiltrates. Methods: Methylation and RNA-seq data and corresponding clinical information regarding gynecologic cancers were used to explore the relationships between changes in DNA methylation, AS and APA events and gynecologic cancer prognosis. QRT-PCR and multiple bioinformatics tools were employed to construct a gene interaction network and explore immune infiltrates. Results: Only the mRNA levels of CIRBP and INPP5K were simultaneously significantly decreased in gynecologic cancers and negatively associated with overall survival, which verified by qrt-PCR. We also identified that CIRBP or INPP5K DNA methylation, AS and APA events are prognostic indicators of gynecologic cancers. The activation of T cells might be the main signaling pathway by which these genes modulate cancer progression. CIRBP/INPP5K expression is positively associated with immune infiltration and is a major risk factor of survival, especially among uterine corpus endometrial carcinoma (UCEC) patients. Conclusion: According to these findings, the DNA methylation, AS and APA events of CIRBP and INPP5K may serve as important prognostic biomarkers and targets in gynecological cancers by modulating T cell infiltration.

Background/Objectives: Lipid metabolism plays a crucial role in uterine corpus endometrial carcinoma (UCEC); however, its specific mechanisms remain to be fully elucidated. This study aimed to construct a lipid-metabolism-related prognostic model and explore its association with the tumor immune microenvironment. Methods: A total of 552 UCEC and 35 normal tissue samples from The Cancer Genome Atlas (TCGA) database were analyzed to identify differentially expressed lipid-metabolism-related genes (DE-LMRGs). A prognostic risk model was established using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression, and its clinical utility was assessed through nomogram construction. Functional enrichment analysis was performed to explore the biological pathways involved. Tumor immune infiltration patterns were evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA), Estimation of Stromal and Immune Cells in Malignant Tumors using Expression Data (ESTIMATE), and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms. Results: Multivariate analysis indicated that the prognostic model had robust predictive value, with AUCs of 0.701, 0.746, and 0.790 for 1-, 3-, and 5-year overall survival predictions. High-risk patients exhibited a suppressed immune microenvironment characterized by reduced immune cell infiltration, lower tumor mutation burden (TMB), and elevated TIDE scores, suggesting potential resistance to immunotherapy. Furthermore, LIPG was identified as a key hub gene through the intersection of nine machine learning algorithms, demonstrating strong associations with both cancer progression and immune infiltration. Functional validation using Cell Counting Kit-8 (CCK-8), wound healing, and transwell migration assays following small interfering RNA (siRNA) transfection demonstrated that LIPG promotes UCEC cell proliferation and migration in vitro. Conclusions: These findings highlight the critical role of lipid metabolism in UCEC progression and immune modulation, with LIPG emerging as a potential prognostic biomarker. The identified lipid-metabolism-related gene signature may provide new insights into tumor microenvironment interactions.