A tumor-infiltrating immune cells-related pseudogenes signature based on machine-learning predicts outcomes and immunotherapy responses in ovarian cancer

Article Multidisciplinary Sciences

Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer

Zaoqu Liu et al.

Summary: The study developed a machine learning-based method to predict prognosis, recurrence, and treatment benefits in colorectal cancer patients, and constructed an immune-related long non-coding RNA signature.

NATURE COMMUNICATIONS (2022)

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Article Oncology

SFTPA1 is a potential prognostic biomarker correlated with immune cell infiltration and response to immunotherapy in lung adenocarcinoma

Lu Yuan et al.

Summary: SFTPA1 protein plays a critical role in maintaining lung tissue homeostasis and the innate immune response, with its high expression associated with a favorable prognosis in lung adenocarcinoma. It may serve as a potential biomarker for predicting a positive response to immunotherapy in lung cancer patients.

CANCER IMMUNOLOGY IMMUNOTHERAPY (2022)

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Article Immunology

Cross-Talk of Multiple Types of RNA Modification Regulators Uncovers the Tumor Microenvironment and Immune Infiltrates in Soft Tissue Sarcoma

Lin Qi et al.

Summary: This study comprehensively investigated 32 RNA modification regulators in STS patients, revealing distinct regulator clusters and gene subtypes that significantly impact prognosis and TME landscapes. The regulator score model allowed for quantitative risk assessment and personalized treatment optimization for individual STS patients.

FRONTIERS IN IMMUNOLOGY (2022)

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Article Medicine, Research & Experimental

Machine learning-based identification of tumor-infiltrating immune cell-associated lncRNAs for improving outcomes and immunotherapy responses in patients with low-grade glioma

Nan Zhang et al.

Summary: The study identifies tumor-infiltrating immune cell-associated lncRNAs (TIIClncRNAs) in low-grade glioma (LGG) and shows that these lncRNAs can predict immunotherapy outcomes.

THERANOSTICS (2022)

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Article Oncology

LINC00893 inhibits papillary thyroid cancer by suppressing AKT pathway via stabilizing PTEN

Shujing Li et al.

Summary: LINC00893 is lowly expressed in thyroid carcinoma tissues and acts as a tumor suppressor in papillary thyroid carcinoma (PTC) by inhibiting cell proliferation and migration through modulation of the PTEN/AKT pathway.

CANCER BIOMARKERS (2021)

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Article Reproductive Biology

Construction autophagy-related prognostic risk signature to facilitate survival prediction, individual treatment and biomarker excavation of epithelial ovarian cancer patients

Hongjun Fei et al.

Summary: By analyzing the expression of 232 autophagy-related genes in 354 EOC and 56 human ovarian surface epithelial specimens, 31 differentially expressed ARGs were identified. Functional and pathway enrichment analysis was conducted, and a protein-protein interaction network was constructed for all differentially expressed ARGs.

JOURNAL OF OVARIAN RESEARCH (2021)

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Letter Oncology

Multi-omics consensus ensemble refines the classification of muscle-invasive bladder cancer with stratified prognosis, tumour microenvironment and distinct sensitivity to frontline therapies

Xiaofan Lu et al.

CLINICAL AND TRANSLATIONAL MEDICINE (2021)

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Article Oncology

Pseudogene HSPA7 is a poor prognostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) and correlated with immune infiltrates

Chunjin Ding et al.

Summary: The study demonstrated that HSPA7 is highly expressed in clear cell renal cell carcinoma (KIRC) and is associated with clinico-pathological features and patient survival. GSEA analysis revealed that high levels of HSPA7 in KIRC are linked to several tumor-related and immune-related pathways. Utilizing the TIMER database, it was shown that HSPA7 levels are correlated with immune infiltrating cells such as CD4(+) T cells, neutrophils, and Dendritic Cells in KIRC.

CANCER CELL INTERNATIONAL (2021)

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Review Biochemistry & Molecular Biology

Ovarian Cancer Immunotherapy and Personalized Medicine

Susan Morand et al.

Summary: Response to immunotherapy in ovarian cancer is limited, but stratification by tumor biomarkers may improve predictiveness. Future directions include utilizing these biomarkers to select ideal candidates, increasing the likelihood of success with immunotherapy in ovarian cancer.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

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Article Oncology

N6-Methyladenosine-Related RNA Signature Predicting the Prognosis of Ovarian Cancer

Jiao Jiao et al.

Summary: N6-Methyladenosine (m6A) RNA methylation plays a crucial role in mRNA modification and has been linked to cancer diagnosis and treatment. This study identified a 12-gene signature panel related to m6A that can serve as an independent prognostic indicator for ovarian cancer patients. The high risk score from this panel indicates poor survival outcomes.

RECENT PATENTS ON ANTI-CANCER DRUG DISCOVERY (2021)

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Article Immunology

The N6-Methyladenosine-Modified Pseudogene HSPA7 Correlates With the Tumor Microenvironment and Predicts the Response to Immune Checkpoint Therapy in Glioblastoma

Rongrong Zhao et al.

Summary: By studying the lncRNA m(6)A modification patterns in GBM tissues, we identified HSPA7 as a novel prognostic risk factor in GBM patients, playing important roles in immunophenotype and tumor microenvironment. We also confirmed the impact of HSPA7 on macrophage infiltration and the efficacy of ICB therapy.

FRONTIERS IN IMMUNOLOGY (2021)

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Review Genetics & Heredity