AIMC Topic: Biomarkers, Tumor

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Machine Learning-Enhanced Analysis of miRNA Biomarkers for Accurate Breast Cancer Diagnosis Using DNA Seagrass.

Analytical chemistry
As potential biomarkers for breast cancer, microRNAs (miRNAs) have demonstrated significant promise in clinical applications. However, accurate miRNA-based breast cancer diagnosis is hindered by the lack of simple, ultrasensitive, and highly specific...

Cervical cancer diagnostics: non-coding RNAs and biosensors to AI-derived methods.

Clinica chimica acta; international journal of clinical chemistry
Cervical cancer ranks fourth in terms of cancer mortality among women. The most important risk factor for cervical cancer is infection with HPV 16 and HPV 18. The prevalence and mortality rates of this cancer are much higher in countries with low and...

Overcoming resistance to anti-PD-L1 immunotherapy: mechanisms, combination strategies, and future directions.

Molecular cancer
Cancer cells express high levels of programmed cell death-ligand 1 (PD-L1) to evade immune surveillance. PD-L1 interacts with PD-1 on T cells to make them non-functional. Thus, PD-L1 and PD-1 are pivotal targets in cancer immunotherapy. While anti-PD...

Multi-omics identification of RNASE6 as an immune regulatory RNA-binding protein associated with melanoma metastasis.

Autoimmunity
BACKGROUND: Cutaneous melanoma is a highly invasive tumor. It enhances metastasis and resistance to immunotherapy immunosuppressive mechanisms. Understanding RNA-binding proteins (RBPs) in melanoma's immune alterations is limited. This study explore...

The diagnostic value of serum cysteine protease inhibitor (CST4) in colorectal cancer: a preliminary study.

BMC gastroenterology
BACKGROUND: CST4 is associated with various cancers but its diagnostic value in colorectal cancer (CRC) has not been clearly established. This study aims to further validate the diagnostic value of CST4 in colorectal cancer using random forest models...

Peripheral blood multimodal integration via cross-attention for cancer immune profiling.

BMC cancer
OBJECTIVE: Accurate cancer risk prediction is hindered by complex, multi-layered immune interactions, and traditional tissue biopsies are invasive and lack scalability for large-scale or repeated assessments. Peripheral blood offers a minimally invas...

Single-cell RNA-sequencing of circulating tumour cells: A practical guide to workflow and translational applications.

Cancer metastasis reviews
The global burden of cancer is rising, with treatment failures often due to the metastatic nature of late-stage malignancies. Circulating tumour cells (CTCs) are metastatic precursors shed from primary tumours, which survive in circulation, extravasa...

Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks.

Scientific reports
This study aimed to identify candidate diagnostic miRNAs from the serum of colorectal cancer (CRC) patients using Boruta, a wrapper-based feature selection technique, in combination with decision tree-based machine learning methods. We analyzed three...

Identification of methylation-related genes and the potential regulatory mechanism of SLAMF6 in CMS4 colorectal cancer.

Clinical epigenetics
BACKGROUNDS: Consensus molecular subtype 4 (CMS4) of colorectal cancer (CRC) is characterized by TGF-β activation, and generally accompanied with metastasis and recurrence. Nevertheless, molecular biomarkers and regulatory mechanisms underlying CMS4 ...