1.Research status and prospect of immunotherapy in gastrointestinal stromal tumors.
Chinese Journal of Gastrointestinal Surgery 2023;26(1):102-106
Tyrosine kinase inhibitors (TKI) significantly reduce the risk of recurrence and metastasis and prolong survival in patients with gastrointestinal stromal tumors (GIST), but drug resistance is often inevitable. Immunotherapy has been proven effective in multiple solid tumors, but the efficacy in GIST is unclear. The efficacy of immunotherapy depends on the tumor microenvironment (TME). Tumor-infiltrating immune cells and immune checkpoints are important components of TME, which not only participate in the regulation of tumor immune response but are also the key target of immunotherapy. A comprehensive analysis of them can clarify the mechanism of tumor immune escape. This review found that there are abundant tumor-infiltrating immune cells in GIST, which play an important role in tumor immune surveillance and escape. Although early clinical studies have shown that patients with GIST have a good tolerance to immunotherapy, the curative effect is not satisfactory. Therefore, how to select the responders of immunotherapy and coordinate the relationship between immunotherapy and TKIs is the key issue to be explored. At the same time, the gradual deepening of basic research and large sample prospective clinical trials will certainly provide more strategies for the application of immunotherapy in GIST.
Humans
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Gastrointestinal Stromal Tumors/drug therapy*
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Prospective Studies
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Immunotherapy/methods*
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Tumor Microenvironment
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Protein Kinase Inhibitors/pharmacology*
2.PHYSICAL ACTIVITY ATTENUATES THE DETRIMENTAL ASSOCIATION OF SITTING TIME WITH CARDIORESPIRATORY FITNESS IN ASIAN YOUTHS: THE ASIA-FIT STUDY
T. KIDOKORO ; K. SUZUKI ; H. NAITO ; G. BALASEKARAN ; JK. SONG ; SY. PARK, ; YM. LIOU ; D. LU ; BK. POH ; K. KIJBOONCHOO ; C. SHEN ; SS. HUI
Japanese Journal of Physical Fitness and Sports Medicine 2018;67(1):79-79
3.Prospective cohort study on the risks of pre-pregnancy overweight, excessive gestational weight gain on macrosomia.
Z P ZHANG ; L M CHU ; S L CHU ; M LU ; L H SHEN ; K CHEN ; L F GU ; H T WU ; J SHEN
Chinese Journal of Epidemiology 2018;39(8):1082-1085
Objective: To investigate the risks of pre-pregnancy overweight, excessive gestational weight gain on macrosomia. Methods: We conducted one hospital-based cohort study, focusing on pregnant women from January 2015. All pregnant women attending to this hospital for maternal check-ups, were included in our cohort and followed to the time of delivery. Data related to general demographic characteristics, pregnancy and health status of those pregnant women, was collected and maternal pre-pregnant BMI and maternal weight gain were calculated. Logistic regression was used to explore the risk difference of pre-pregnancy BMI, excessive gestational weight gain on macrosomia. Results: The overall incidence of macrosomia in our cohort appeared as 6.6% (149/2 243). After adjusting the confounding factors including age and histories on pregnancy, pre-pregnancy overweight/obesity was associated with higher risks of macrosomia (OR=3.12, 95%CI: 1.35-7.22, P=0.008; OR=2.99, 95%CI: 1.17-7.63, P=0.022) when comparing to those with normal pre-pregnancy weight. Cesarean delivery and sex of the offspring were associated with higher risk of macrosomia, while excessive gestational weight gain showed no significant difference (OR=1.41, 95%CI: 0.96-2.09, P=0.084). Our data showed that Macrosomia was statistically associated with gestational weight gain (P=0.002). After controlling parameters as age, history of pregnancy and related complications of the pregnant women, results from the logistic regression showed that women with gestational inadequate weight gain having reduced risks to deliver macrosomia, when compared to those pregnant women with adequate weight gain (OR=0.52, 95%CI: 0.30-0.90, P=0.019). Conclusion: Pre-pregnancy overweight and obesity were on higher risks to macrosomia.
Body Mass Index
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Cesarean Section/statistics & numerical data*
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China/epidemiology*
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Female
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Fetal Macrosomia/epidemiology*
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Humans
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Incidence
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Logistic Models
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Obesity/epidemiology*
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Overweight/epidemiology*
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Pregnancy
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Pregnancy Complications/epidemiology*
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Prospective Studies
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Weight Gain