The clinical burden of colorectal cancer (CRC) is high. Population-based screening and early detection are essential to improve the long-term clinical outcome. Nonetheless, a significant proportion of patients still present at an advanced stage, including with acute large bowel obstruction. Image-enhanced endoscopy and artificial intelligence can improve the detection and diagnosis of colonic adenomas and early cancer. Endoscopic resection is regarded as the preferred curative treatment option for colonic adenoma and T0 and T1 CRC limited to the superficial submucosa. Emergency colonic stenting as bridge to interval curative surgery is increasingly accepted as a first-line option when technically feasible. Minimally invasive resection techniques such as laparoscopic colectomy and robot-assisted colorectal surgery have also come of age. These techniques reduce post-treatment morbidity, shorten the recovery process and can be cost-effective while maintaining long-term oncological cure. These outcome measures are relevant to our patients; therefore, minimally invasive approaches to curative resection should be embraced.
Humans ; Colorectal Neoplasms/surgery* ; Minimally Invasive Surgical Procedures/methods* ; Laparoscopy/methods* ; Colectomy/methods* ; Robotic Surgical Procedures/methods* ; Treatment Outcome ; Colonoscopy/methods*

Fusion variations of neurotrophic receptor tyrosine kinase (NTRK) are oncogenic drivers in various solid tumors such as breast cancer, salivary gland carcinoma, infant fibrosarcoma, etc. Gene rearrangements involving NTRK1/2/3 lead to constitutive activation of the tropomyosin receptor kinase (TRK) domain, and the expressed fusion proteins drive tumor growth and survival. NTRK fusions are estimated to occur at a frequency of approximately 0.1% to 1% in non-small cell lung cancer (NSCLC). Epidermal growth factor receptor (EGFR) mutations are prevalent in NSCLC, but the frequency of EGFR G719A mutation is relatively low (about 2%), and EGFR mutations are typically mutually exclusive with NTRK fusion variants. The study presented the first documented case of lung adenocarcinoma harboring both EGFR G719A mutation and LMNA-NTRK1 fusion. A review of the literature was conducted to elucidate the role of NTRK fusion mutations in NSCLC and their relationship with EGFR mutations, aiming to enhance the understanding of NTRK fusion mutations in NSCLC.
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Humans ; Adenocarcinoma/genetics* ; Adenocarcinoma of Lung ; ErbB Receptors/genetics* ; Lamin Type A/genetics* ; Lung Neoplasms/genetics* ; Mutation ; Oncogene Proteins, Fusion/genetics* ; Receptor, trkA/metabolism*

Objective:To analyze the effect of precipitation on road traffic injuries (RTI) in Zhejiang Province.Methods:The RTI surveillance and meteorological data from 2009 to 2022 in Zhejiang Province were collected. Based on the time-stratified case-crossover design, the precipitation of case day and control day was compared, and the distributed lag nonlinear model was applied to analyze the correlation of precipitation and RTI. Stratified analyses were conducted to analyze the effect modification of gender, age, injury location, and temperature. An attributable fraction was used to assess the burden of RTI caused by precipitation.Results:A total of 239 970 RTIs were monitored in Zhejiang Province from 2009 to 2022, averaging 46 daily cases. The distributed lag nonlinear model showed that compared with no rain, the risk of RTI increased first and then decreased with the increase of precipitation. The risk of RTI was the highest when the precipitation was 30.99 mm ( OR=1.08, 95% CI: 1.05-1.11). The adverse effects on RTI mainly occurred on the day of precipitation, and it showed insignificant or protective effects with the extension of lag days. 1.34%(95% CI: 1.31%-1.36%) of RTI could be attributed to precipitation. Stratified analysis showed that gender, age, injury location, and temperature may modify the effect of precipitation on RTI. Precipitation caused a heavier burden on RTI in subgroups aged 18-64, females, and occurring on roads and in low temperatures. Conclusions:Precipitation can increase the risk of RTI. People aged 18-64 or females are the key groups for RTI prevention, and prevention and control efforts of precipitation-related RTI should be increased in road and low-temperature environments.

Objective:To analyze the effect of precipitation on road traffic injuries (RTI) in Zhejiang Province.Methods:The RTI surveillance and meteorological data from 2009 to 2022 in Zhejiang Province were collected. Based on the time-stratified case-crossover design, the precipitation of case day and control day was compared, and the distributed lag nonlinear model was applied to analyze the correlation of precipitation and RTI. Stratified analyses were conducted to analyze the effect modification of gender, age, injury location, and temperature. An attributable fraction was used to assess the burden of RTI caused by precipitation.Results:A total of 239 970 RTIs were monitored in Zhejiang Province from 2009 to 2022, averaging 46 daily cases. The distributed lag nonlinear model showed that compared with no rain, the risk of RTI increased first and then decreased with the increase of precipitation. The risk of RTI was the highest when the precipitation was 30.99 mm ( OR=1.08, 95% CI: 1.05-1.11). The adverse effects on RTI mainly occurred on the day of precipitation, and it showed insignificant or protective effects with the extension of lag days. 1.34%(95% CI: 1.31%-1.36%) of RTI could be attributed to precipitation. Stratified analysis showed that gender, age, injury location, and temperature may modify the effect of precipitation on RTI. Precipitation caused a heavier burden on RTI in subgroups aged 18-64, females, and occurring on roads and in low temperatures. Conclusions:Precipitation can increase the risk of RTI. People aged 18-64 or females are the key groups for RTI prevention, and prevention and control efforts of precipitation-related RTI should be increased in road and low-temperature environments.

Background::There is a need for effective and safe therapies for psoriasis that provide sustained benefits. The aim of this study was to assess the efficacy and safety of tildrakizumab, an anti-interleukin-23p19 monoclonal antibody, for treating moderate-to-severe plaque psoriasis in Chinese patients.Methods::In this multi-center, double-blind, phase III trial, patients with moderate-to-severe plaque psoriasis were enrolled and randomly assigned (1:1) to receive subcutaneous tildrakizumab 100 mg or placebo at weeks 0 and 4. Patients initially assigned to placebo were switched to receive tildrakizumab at weeks 12, 16, and every 12 weeks thereafter. Patients in the tildrakizumab group continued with tildrakizumab at week 16, and every 12 weeks until week 52. The primary endpoint was the Psoriasis Area and Severity Index (PASI 75) response rate at week 12.Results::At week 12, tildrakizumab demonstrated significantly higher PASI 75 response rates (66.4% [73/110] vs. 12.7% [14/110]; difference, 51.4% [95% confidence interval (CI), 40.72, 62.13]; P <0.001) and Physician’s Global Assessment (60.9% [67/110] vs. 10.0% [11/110]; difference, 49.1% [95% CI, 38.64, 59.62]; P <0.001) compared to placebo. PASI 75 response continued to improve over time in both tildrakizumab and placebo-switching to tildrakizumab groups, reaching maximal efficacy after 28 weeks (86.8% [92/106] vs. 82.4% [89/108]) and maintained up to 52 weeks (91.3% [95/104] vs. 87.4% [90/103]). Most treatment-emergent adverse events were mild and not related to tildrakizumab. Conclusion::Tildrakizumab demonstrated durable efficacy through week 52 and was well tolerated in Chinese patients with moderate-to-severe plaque psoriasis.Trial registration::ClinicalTrials.gov, NCT05108766.

Objective To screen the distribution frequency of Mur blood group among voluntary blood donors in Hezhou,Guangxi,and further analyze the molecular basis of of Mur antigen positive samples.Methods The Mur pheno-type of voluntary blood donors in Hezhou was serologically screened using microplate method,and the distribution frequency of Mur antigens in different ethnic groups was analyzed.Genetic typing was performed on these positive samples with PCR-SSP method to verify the accuracy of the serological method,and the genetic background was sequenced and analyzed.Re-sults Among 3 298 samples from voluntary blood donors in Hezhou,432(13.10%,432/3 298)were screened positive for Mur antigen,and PCR-SSP genotyping validation showed that all 432 samples were electrophoretic positive.Among them,the proportion of Han blood donors with positive Mur antigen was12.79%(331/2 587),Yao ethnic group was13.25%(64/483),Zhuang ethnic group was 16.51%(36/218),and no statistically significant difference was found in the three groups(P＞0.05).Further sequencing results showed that 428 samples were GYP(B-A-B)Mur,also known as GYP.Mur type(12.98%,428/3 298),the other 4 samples were GYP(B-A-B)Bun,also known as GYP.Bun type(0.12%,4/3 298).Conclusion The Mur blood type frequency is high in the voluntary blood donors in Hezhou,Guangxi,and is predominant characterized by GYP.Mur genotype.Due to ethnic integration,no significant difference was noticed in the frequency of Mur blood type distribution between Han,Zhuang and Yao population.Therefore,conducting extensive Mur blood group antigen and antibody testing in Hezhou is of great significance for ensuring clinical blood transfusion safety.

The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.