• Corpus ID: 245986364

Systematic analysis reveals key microRNAs as diagnostic and prognostic factors in progressive stages of lung cancer

@inproceedings{Kong2022SystematicAR,
  title={Systematic analysis reveals key microRNAs as diagnostic and prognostic factors in progressive stages of lung cancer},
  author={Di Kong and Ke-xin Wang and Qiuhua Zhang and Zhi-Tong Bing},
  year={2022}
}
MicroRNAs play an indispensable role in numerous biological processes ranging from organismic development to tumor progression. In oncology, these microRNAs constitute a fundamental regulation role in the pathology of cancer that provides the basis for probing into the influences on clinical features through transcriptome data. Previous work focused on machine learning (ML) for searching biomarkers in different cancer databases, but the functions of these biomarkers are fully not clear. Taking… 
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References

SHOWING 1-10 OF 70 REFERENCES

A novel microRNA signature for pathological grading in lung adenocarcinoma based on TCGA and GEO data

TLDR
It is demonstrated that a 16-miRNA signature could serve as a promising diagnostic biomarker for pathological staging in LUAD.

Lamins in Lung Cancer: Biomarkers and Key Factors for Disease Progression through miR-9 Regulation?

TLDR
The link between A-type lamins expression in lung carcinoma cells and nuclear deformability, epithelial to mesenchymal transition, and metastatic potential is discussed, and which mechanisms could regulate A- type laminsexpression in lung cancer, such as the microRNA miR-9.

The role of microRNAs in Lung Cancer: Implications for diagnosis and therapy.

TLDR
Recent progress and discoveries in micro RNAs regulatory role in lung cancer initiation and progression are summarized and the role of microRNAs in EGFR signaling pathway regulation discussed briefly.

Construction and validation of a three-microRNA signature as prognostic biomarker in patients with hepatocellular carcinoma

TLDR
It is suggested that three-miRNA signature could serve as an independent prognostic indicator for HCC patients.

MicroRNA expression profile and TNM staging system predict survival in patients with lung adenocarcinoma.

TLDR
The prognostic model constructed with nine miRNA expression profile and TNM classification parameters can predict the survival in patients with LUAD, and the predictive power of the model are warranted for further validations.

miRNAs in lung cancer. A systematic review identifies predictive and prognostic miRNA candidates for precision medicine in lung cancer.

A miRNA-based diagnostic model predicts resectable lung cancer in humans with high accuracy

TLDR
A diagnostic model based on the combined expression levels of two miRNAs predicts resectable lung cancer with 99% sensitivity, regardless of histological types and pathological stages of cancer, suggesting its promising, diagnostic utility.

Identification of a Sixteen-gene Prognostic Biomarker for Lung Adenocarcinoma Using a Machine Learning Method

TLDR
A sixteen-gene prognostic marker for LUAD is developed, which may provide a powerful prognostic tool for precision oncology and is superior to the other five existing prediction models.

A panel of eight microRNAs is a good predictive parameter for triple-negative breast cancer relapse

TLDR
The 8-miRNA signature predictive model may help clinicians provide a prognosis for TNBC patients with a high risk of recurrence after surgery and provide further personalized treatment to decrease the chance of relapse.
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