Suppression of the long non-coding RNA LINC01279 triggers autophagy and apoptosis in lung cancer by regulating FAK and SIN3A
AbstractLong non-coding RNAs play critical roles in the development of lung cancer by functioning as tumor suppressors or oncogenes. Changes in the expression ofLINC01279 have been associated with cell differentiation and human diseases. However, the mechanism underlyingLINC01279 activity in tumorigenesis is not clear. Here, we analyzed the function ofLINC01279 in lung adenocarcinoma using clinical samples, xenografts, and non-small-cell lung cancer cell lines. We found thatLINC01279 is highly expressed in lung adenocarcinoma and may be considered as a predictive factor for this cancer. Knockdown ofLINC01279 prevents tumor...
Source: Hormones and Cancer - January 2, 2024 Category: Cancer & Oncology Source Type: research
Associations between HIFs and tumor immune checkpoints: mechanism and therapy
AbstractHypoxia, which activates a variety of signaling pathways to enhance tumor cell growth and metabolism, is among the primary features of tumor cells. Hypoxia-inducible factors (HIFs) have a substantial impact on a variety of facets of tumor biology, such as epithelial-mesenchymal transition, metabolic reprogramming, angiogenesis, and improved radiation resistance. HIFs induce hypoxia-adaptive responses in tumor cells. Many academics have presented preclinical and clinical research targeting HIFs in tumor therapy, highlighting the potential applicability of targeted HIFs. In recent years, the discovery of numerous pha...
Source: Hormones and Cancer - January 2, 2024 Category: Cancer & Oncology Source Type: research
Exploring the relationship between immune heterogeneity characteristic genes of rheumatoid arthritis and acute myeloid leukemia
ConclusionGenes characterizing the immune heterogeneity of RA are associated with AML, and KLRBA may be a potential target for AML treatment. (Source: Hormones and Cancer)
Source: Hormones and Cancer - January 2, 2024 Category: Cancer & Oncology Source Type: research
The role of RNA modification in urological cancers: mechanisms and clinical potential
AbstractRNA modification is a post-transcriptional level of regulation that is widely distributed in all types of RNAs, including mRNA, tRNA, rRNA, miRNA, and lncRNA, where N6-methyladenine (m6A) is the most abundant mRNA methylation modification. Significant evidence has depicted that m6A modifications are closely related to human diseases, especially cancer, and play pivotal roles in RNA transcription, splicing, stabilization, and translation processes. The most common urological cancers include prostate, bladder, kidney, and testicular cancers, accounting for a certain proportion of human cancers, with an ever-increasin...
Source: Hormones and Cancer - December 20, 2023 Category: Cancer & Oncology Source Type: research
Systematic review and integrated analysis of prognostic gene signatures for prostate cancer patients
AbstractProstate cancer (PC) is one of the most common cancers in men and becoming the second leading cause of cancer fatalities. At present, the lack of effective strategies for prognosis of PC patients is still a problem to be solved. Therefore, it is significant to identify potential gene signatures for PC patients ’ prognosis. Here, we summarized 71 different prognostic gene signatures for PC and concluded 3 strategies for signature construction after extensive investigation. In addition, 14 genes frequently appeared in 71 different gene signatures, which enriched in mitotic and cell cycle. This review prov ides exte...
Source: Hormones and Cancer - December 19, 2023 Category: Cancer & Oncology Source Type: research
Celastrol suppresses human pancreatic cancer via m6A-YTHDF3-mediated downregulation of Claspin and Bcl-2
ConclusionOur study highlighted a novel mechanism underlying celastrol-induced cellular proliferation inhibition and apoptosis in pancreatic cancer cells via m6A-YTHDF3-mediated downregulation of Claspin and Bcl-2. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 18, 2023 Category: Cancer & Oncology Source Type: research
BLCA prognostic model creation and validation based on immune gene-metabolic gene combination
ConclusionsThe model in our work is a novel assessment tool to measure immunotherapy ’s effectiveness and anticipate BLCA patients’ prognosis, offering new avenues for immunological biomarkers and targeted treatments. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 16, 2023 Category: Cancer & Oncology Source Type: research
Machine learning and experiments identifies SPINK1 as a candidate diagnostic and prognostic biomarker for hepatocellular carcinoma
In this study, we aimed at identifying critical genes for diagnosis and outcomes of hepatocellular carcinoma (HCC) patients using machine learning. The HCC expression dataset was downloaded from GSE65372 datasets and TCGA datasets. Differentially expressed genes (DEGs) were identified between 39 HCC and 15 normal samples. For the purpose of locating potential biomarkers, the LASSO and the SVM-RFE assays were performed. The ssGSEA method was used to analyze the TCGA to determine whether there was an association between SPINK1 and tumor immune infiltrates. RT-PCR was applied to examine the expression of SPINK1 in HCC specime...
Source: Hormones and Cancer - December 14, 2023 Category: Cancer & Oncology Source Type: research
High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
ConclusionsThe findings of this hypothesis-generating retrospective analysis claimed that the novel PIV was an independent and steadfast predictor of PFS and OS in stage IIIB/C NSCLC patients. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 13, 2023 Category: Cancer & Oncology Source Type: research
Is it possible to differentiate pulmonary sarcoidosis in tumor patients and pulmonary lymphangitic carcinomatosis caused by extrapulmonary tumors on 18F-FDG PET/CT images?
ConclusionThere are detailed differences in 18F-FDG PET/CT manifestations of PS in tumor patients and PLC caused by extrapulmonary tumors, and the constructed diagnostic model has high clinical application value in differentiating the two. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 11, 2023 Category: Cancer & Oncology Source Type: research
LncRNA HOTAIR down-expression inhibits the invasion and tumorigenicity of epithelial ovarian cancer cells by suppressing TGF- β1 and ZEB1
ConclusionsThese results suggest that the lncRNA HOTAIR may be an effective target for the treatment of human EOC. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 9, 2023 Category: Cancer & Oncology Source Type: research
Treatment outcomes of radiotherapy with concurrent weekly cisplatin in older patients with locally advanced head and neck squamous cell carcinoma
ConclusionsWeekly CDDP + RT in older patients led to good survival outcomes with an acceptable rate of adverse events. CDDP should be administered at a dose of at least 200 mg/m2 in older patients.Trial registration Retrospectively registered (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 8, 2023 Category: Cancer & Oncology Source Type: research
Increased PAFAH1B3 was associated with poor prognosis and T-cell exhaustion microenvironment in hepatocellular carcinoma
In conclusion, PAFAH1B3 is closely related to TEX in the tumor microenvironment (TME) and can be a useful indicator for PD1/PD -L1 therapy. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 8, 2023 Category: Cancer & Oncology Source Type: research
Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathway
ConclusionThe upregulated expression of COL10A1/FAP/FN1, the characteristic genes of COVID-19, are potential diagnostic targets for PC, and the upregulated expression of FN1 may promote the progression of PC by activating the PI3K-AKT signaling pathway. The COL10A1/FAP/FN1-based typing provides a new typing approach for PC, and also provides a good reference and idea for the refinement of PC treatment and subsequent clinical research. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 8, 2023 Category: Cancer & Oncology Source Type: research
Using machine learning-based radiomics to differentiate between glioma and solitary brain metastasis from lung cancer and its subtypes
ConclusionThe application of machine learning-based radiomics has a certain clinical value in differentiating glioma from solitary brain metastasis from lung cancer and its subtypes. In the HGG/SBM and HGG/NSCLC SBM validation groups, the MLP model had the best diagnostic performance, while in the HGG/SCLC SBM validation group, the MLP and SVM models had the best diagnostic performance. (Source: Hormones and Cancer)
Source: Hormones and Cancer - December 6, 2023 Category: Cancer & Oncology Source Type: research
