-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
- Cosmetic Ingredient
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
Extranodal natural killer/T-cell lymphoma (ENKTL) is a rare subtype of non-Hodgkin's lymphoma, characterized by Epstein-Barr virus infection , mainly involving the nasal cavity and nasopharynx
Lymphoma infection
However, the current prognostic scoring system based on clinicopathological variables cannot well predict the treatment response and survival time of patients with extranodal natural killer/T-cell lymphoma (ENKTL) using non-anthracycline-based treatment
This study aims to establish based on single nucleotide polymorphism (SNP) of the separator in order to improve the prediction accuracy of the guide clinical decision making
Based on single nucleotide polymorphism (SNP) of the separator in order to improve the prediction accuracy of the guide clinical decision making based on single nucleotide polymorphism (SNP) of the separator in order to improve the prediction accuracy of the guide clinical decision making accurate
LASSO logistic regression model identified 7 SNPs
LASSO logistic regression model identified 7 SNPsUsing the LASSO logistic regression model , a classifier (7-SNP classifier) based on 7 SNPs ( rs3734905, rs10272776, rs3860783, rs17776928, rs73639447, rs10844247, rs3122712 ) was established in the training queue , and obtained in 3 validation queues Verification
rs3734905, rs10272776, rs3860783, rs17776928, rs73639447, rs10844247, rs3122712 rs3734905, rs10272776, rs3860783, rs17776928, rs73639447, rs10844247, rs3122712 Progression-free survival (PFS) and overall survival of patients with high-risk and low-risk scores according to this classifier Period (OS) showed significant difference (p<0.
Its prediction accuracy is significantly better than clinicopathological risk variables.
Ann Arbor stage I patients with different risks are treated with PFS and OS combined with radiotherapy and chemotherapy or radiotherapy alone
Ann Arbor stage I patients with different risks are treated with PFS and OS combined with radiotherapy and chemotherapy or radiotherapy aloneIt is worth noting that the PFS and OS of high-risk Ann Arbor stage I patients with combined radiotherapy and chemotherapy are significantly better than radiotherapy alone, but in low-risk patients, there is no statistically significant difference in the prognosis of the two regimens
The PFS and OS of high-risk Ann Arbor stage I patients with combined radiotherapy and chemotherapy were significantly better than those with radiotherapy alone, but in low-risk patients, the prognosis of the two regimens was not statistically different.
The 7-SNP-based classifier is a supplement to ENKTL's existing risk stratification system and may be of great significance to the clinical decision-making of ENKTL patients.
Original source:
Xiao-Peng Tian, et al.
A composite single-nucleotide polymorphism prediction signature for extranodal natural killer / T-cell lymphoma
in this message
