Publications by authors named "Qianyao Meng"
Article Synopsis
- Alternative polyadenylation (APA) is important in understanding cancer, especially lung adenocarcinoma (LUAD).
- Researchers found that a specific gene variant (T allele of rs277646) is linked to a higher risk of LUAD and changes how the NIT2 gene works.
- The variant causes the gene to create a shorter version of itself, which can affect cancer development by altering the expression of NIT2.
Article Synopsis
- The study aimed to identify new plasma protein biomarkers for lung adenocarcinoma (LUAD) through proteomics analysis and validation in LUAD patients and healthy controls.
- GPI and PGD were found to be upregulated in LUAD patients' plasma, with a significant correlation between their plasma and tissue levels, as well as a negative correlation to tumor blood vessel normalization.
- Findings suggest GPI and PGD could serve as potential diagnostic and prognostic biomarkers, helping to assess the risk of metastasis and tumor severity in LUAD patients.
Article Synopsis
- E-cigarettes are often seen as safer alternatives to regular cigarettes, but there are mixed opinions about their effects.
- More people, including teens and young adults, are using e-cigarettes for their fun flavors, but studies show that they might lead to smoking real cigarettes instead.
- While e-cigarettes may be less harmful than regular cigarettes, they still have risks, and it's important to understand their impact on health, especially in the mouth, nose, lungs, heart, and brain.
Article Synopsis
- This study investigated the consistency of mRNAs and proteins in lung adenocarcinoma (LUAD) across different populations while creating a prognostic model for better survival prediction.
- Researchers standardized various data types to find common differentially expressed mRNAs and proteins, noting that ethnic diversity affects consistency rates significantly.
- The resulting survival model, based on eight identified hub mRNAs and clinical factors, shows promise for predicting LUAD outcomes across diverse groups and highlights the importance of integrating genetic diversity in cancer research.
