Tooth autotransplantation is a restoration technology that grafts the patient's own teeth to the missing tooth area, usually by using the third molar to replace a nonnormally functioning molar for the purpose of "turning waste into treasure". Robotic surgical assistance has been widely used in the fields of breast cancer, liver cancer, and orthopedics; however, its application in the dental field, particularly in tooth autotransplantation, remains relatively rare. This paper reports a case of tooth autotransplantation with the assistance of a domestic autonomous oral surgery robot, providing a reference for the application of robotic surgery assistance in tooth autotransplantation.
Humans ; Molar, Third/transplantation* ; Robotic Surgical Procedures/methods* ; Transplantation, Autologous

Objective:To investigate the risk factors of secondary primary cancer (SPC) after cervical cancer and to construct a nomogram model for predicting the prognosis.Methods:The data of 3 790 patients with primary cervical cancer from the 3rd edition of the International Classification of Diseases Oncology (ICD-O-3) number C53.9 between 2000 and 2020 in the Surveillance, Epidemiology and End Results (SEER) database were retrospectively analyzed, and SPC occurred in 2 036 cases out of 3 790 patients. Standardized incidence rate (SIR) of patients with cervical cancer was calculated by using SEER*Stat software; Cox proportional hazards model was used to make the univariate and multivariate analysis on the influencing factors of the overall survival (OS) in patients with SPC after cervical cancer. By using the "rms" package of R software, nomogram models for predicting 1-, 3-, and 5-year OS rates in SPC patients after cervical cancer were constructed based on prognostic independent influencing factors. The prediction efficacy and consistency of the model were verified by using the receiver operating characteristic (ROC) curve and the calibration curve.Results:The cervical cancer patients with the age of diagnosis of 20-34 years old (SIR: 1.76, 95% CI: 1.57-1.98), black race (SIR: 1.75, 95% CI: 1.61-1.90), the interval period of 2 primary tumors: 6-11 months (SIR: 1.69, 95% CI: 1.50-1.90), histologic grade Ⅳ (SIR: 1.62, 95% CI: 1 30-2.00), chemotherapy (SIR: 1.63, 95% CI: 1.56-1.71), radiotherapy (SIR: 1.59, 95% CI: 1.53-1.66), unmarried (SIR: 1.47, 95% CI: 1.41-1.54) had high SIR. Multivariate Cox regression analysis results of 2 036 SPC patients after cervical cancer showed that unmarried, SEER stage of regional lesion phase, distant metastasis phase and unknown, histologic grade of Ⅱ, Ⅲ, Ⅳ and the unknown, unknown lymph node dissection, other sites expert for lymphoma in SPC sites were independent risk factors of OS in SPC patients after cervical cancer (all P < 0.05); receiving surgery for SPC (compared to those not receiving surgery, HR = 0.38, 95% CI: 0.32-0.45, P = 0.001), radiotherapy (compared to those not receiving radiotherapy or unknown, HR = 0.66, 95% CI: 0.56-0.78, P = 0.001), and chemotherapy (compared to those not receiving chemotherapy or unknown, HR = 0.86, 95% CI:0.74-0.99, P = 0.034) were independent protective factors of OS in SPC patients after cervical cancer. The results of Kaplan-Meier survival analysis showed that the differences in the OS of SPC patients after cervical cancer with different marriage status, SEER stage, histologic grade, lymph node dissection, surgery for SPC, primary sites of SPC and whether receiving radiochemotherapy were all statistically significant (all P < 0.001). Based on the 8 variables including marital status, SEER stage, histologic grade, whether lymph nodes have been cleared, whether SPC has been treated with surgery, radiotherapy, chemotherapy, and the primary sites of SPC, a nomogram model for predicting the 1-, 3- and 5-year OS rates of SPC patients after cervical cancer was established. The results of ROC curve analysis showed that the area under the curve of the model for predicting 1-, 3-, and 5-year OS rates was 0.841, 0.847, and 0.847, respectively. The calibration curves showed a good consistency between the predicted results of model and the actual results. Conclusions:A prognostic prediction nomogram model for SPC after cervical cancer constructed based on the data in the SEER database has a high clinical application value and calibration.

Objective:To investigate the risk factors of secondary primary cancer (SPC) after cervical cancer and to construct a nomogram model for predicting the prognosis.Methods:The data of 3 790 patients with primary cervical cancer from the 3rd edition of the International Classification of Diseases Oncology (ICD-O-3) number C53.9 between 2000 and 2020 in the Surveillance, Epidemiology and End Results (SEER) database were retrospectively analyzed, and SPC occurred in 2 036 cases out of 3 790 patients. Standardized incidence rate (SIR) of patients with cervical cancer was calculated by using SEER*Stat software; Cox proportional hazards model was used to make the univariate and multivariate analysis on the influencing factors of the overall survival (OS) in patients with SPC after cervical cancer. By using the "rms" package of R software, nomogram models for predicting 1-, 3-, and 5-year OS rates in SPC patients after cervical cancer were constructed based on prognostic independent influencing factors. The prediction efficacy and consistency of the model were verified by using the receiver operating characteristic (ROC) curve and the calibration curve.Results:The cervical cancer patients with the age of diagnosis of 20-34 years old (SIR: 1.76, 95% CI: 1.57-1.98), black race (SIR: 1.75, 95% CI: 1.61-1.90), the interval period of 2 primary tumors: 6-11 months (SIR: 1.69, 95% CI: 1.50-1.90), histologic grade Ⅳ (SIR: 1.62, 95% CI: 1 30-2.00), chemotherapy (SIR: 1.63, 95% CI: 1.56-1.71), radiotherapy (SIR: 1.59, 95% CI: 1.53-1.66), unmarried (SIR: 1.47, 95% CI: 1.41-1.54) had high SIR. Multivariate Cox regression analysis results of 2 036 SPC patients after cervical cancer showed that unmarried, SEER stage of regional lesion phase, distant metastasis phase and unknown, histologic grade of Ⅱ, Ⅲ, Ⅳ and the unknown, unknown lymph node dissection, other sites expert for lymphoma in SPC sites were independent risk factors of OS in SPC patients after cervical cancer (all P < 0.05); receiving surgery for SPC (compared to those not receiving surgery, HR = 0.38, 95% CI: 0.32-0.45, P = 0.001), radiotherapy (compared to those not receiving radiotherapy or unknown, HR = 0.66, 95% CI: 0.56-0.78, P = 0.001), and chemotherapy (compared to those not receiving chemotherapy or unknown, HR = 0.86, 95% CI:0.74-0.99, P = 0.034) were independent protective factors of OS in SPC patients after cervical cancer. The results of Kaplan-Meier survival analysis showed that the differences in the OS of SPC patients after cervical cancer with different marriage status, SEER stage, histologic grade, lymph node dissection, surgery for SPC, primary sites of SPC and whether receiving radiochemotherapy were all statistically significant (all P < 0.001). Based on the 8 variables including marital status, SEER stage, histologic grade, whether lymph nodes have been cleared, whether SPC has been treated with surgery, radiotherapy, chemotherapy, and the primary sites of SPC, a nomogram model for predicting the 1-, 3- and 5-year OS rates of SPC patients after cervical cancer was established. The results of ROC curve analysis showed that the area under the curve of the model for predicting 1-, 3-, and 5-year OS rates was 0.841, 0.847, and 0.847, respectively. The calibration curves showed a good consistency between the predicted results of model and the actual results. Conclusions:A prognostic prediction nomogram model for SPC after cervical cancer constructed based on the data in the SEER database has a high clinical application value and calibration.

Recent progress in targeted metabolic therapy of cancer has been limited by the considerable toxicity associated with such drugs. To address this challenge, we developed a smart theranostic prodrug system that combines a fluorophore and an anticancer drug, specifically 6-diazo-5-oxo-l-norleucine (DON), using a thioketal linkage (TK). This system enables imaging, chemotherapy, photodynamic therapy, and on-demand drug release upon radiation exposure. The optimized prodrug, DON-TK-BM3, incorporating cyanine dyes as the fluorophore, displayed potent reactive oxygen species release and efficient tumor cell killing. Unlike the parent drug DON, DON-TK-BM3 exhibited no toxicity toward normal cells. Moreover, DON-TK-BM3 demonstrated high tumor accumulation and reduced side effects, including gastrointestinal toxicity, in mice. This study provides a practical strategy for designing prodrugs of metabolic inhibitors with significant toxicity stemming from their lack of tissue selectivity.

With the large-scale application of Helicobacter pylori (Hp) eradication therapy, the decline in the infection rate of the population will lead to a decrease in the occurrence of Hp-related gastric cancer. In other words, the proportion of Hp-negative gastric cancer will also increase significantly, and esophago-gastric junction carcinoma, which is not closely related to Hp infection, will also become a new focus in the prevention and treatment of gastric cancer in the future. Image enhanced endoscopy is a type of endoscopic technique that has developed rapidly in recent years, and has played an important role in the diagnosis of early gastric cancer and esophageal cancer. However, there are still many unsolved questions about whether this technology is also valuable for esophago-gastric junction carcinoma. The authors intend to review the current progress of image enhanced endoscopy in diagnosis and treatment of esophago-gastric junction carcinoma from the perspective of endoscopists.

With the large-scale application of Helicobacter pylori (Hp) eradication therapy, the decline in the infection rate of the population will lead to a decrease in the occurrence of Hp-related gastric cancer. In other words, the proportion of Hp-negative gastric cancer will also increase significantly, and esophago-gastric junction carcinoma, which is not closely related to Hp infection, will also become a new focus in the prevention and treatment of gastric cancer in the future. Image enhanced endoscopy is a type of endoscopic technique that has developed rapidly in recent years, and has played an important role in the diagnosis of early gastric cancer and esophageal cancer. However, there are still many unsolved questions about whether this technology is also valuable for esophago-gastric junction carcinoma. The authors intend to review the current progress of image enhanced endoscopy in diagnosis and treatment of esophago-gastric junction carcinoma from the perspective of endoscopists.

BACKGROUND: LY01005 (Goserelin acetate sustained-release microsphere injection) is a modified gonadotropin-releasing hormone (GnRH) agonist injected monthly. This phase III trial study aimed to evaluated the efficacy and safety of LY01005 in Chinese patients with prostate cancer. METHODS: We conducted a randomized controlled, open-label, non-inferiority trial across 49 sites in China. This study included 290 patients with prostate cancer who received either LY01005 or goserelin implants every 28 days for three injections. The primary efficacy endpoints were the percentage of patients with testosterone suppression ≤50 ng/dL at day 29 and the cumulative probability of testosterone ≤50 ng/dL from day 29 to 85. Non-inferiority was prespecified at a margin of -10%. Secondary endpoints included significant castration (≤20 ng/dL), testosterone surge within 72 h following repeated dosing, and changes in luteinizing hormone, follicle-stimulating hormone, and prostate specific antigen levels. RESULTS: On day 29, in the LY01005 and goserelin implant groups, testosterone concentrations fell below medical-castration levels in 99.3% (142/143) and 100% (140/140) of patients, respectively, with a difference of -0.7% (95% confidence interval [CI], -3.9% to 2.0%) between the two groups. The cumulative probabilities of maintaining castration from days 29 to 85 were 99.3% and 97.8%, respectively, with a between-group difference of 1.5% (95% CI, -1.3% to 4.4%). Both results met the criterion for non-inferiority. Secondary endpoints were similar between groups. Both treatments were well-tolerated. LY01005 was associated with fewer injection-site reactions than the goserelin implant (0% vs . 1.4% [2/145]). CONCLUSION: LY01005 is as effective as goserelin implants in reducing testosterone to castration levels, with a similar safety profile. TRIAL REGISTRATION ClinicalTrials.gov, NCT04563936.
Humans ; Male ; Antineoplastic Agents, Hormonal/therapeutic use* ; East Asian People ; Gonadotropin-Releasing Hormone/agonists* ; Goserelin/therapeutic use* ; Prostate-Specific Antigen ; Prostatic Neoplasms/drug therapy* ; Testosterone

Oral potentially malignant disorders (OPMDs) are precursors of oral squamous cell carcinoma (OSCC). Deregulated cellular energy metabolism is a critical hallmark of cancer cells. Peroxisome proliferator-activated receptor-gamma coactivator-1 alpha (PGC1α) plays vital role in mitochondrial energy metabolism. However, the molecular mechanism of PGC1α on OPMDs progression is less unclear. Therefore, we investigated the effects of knockdown PGC1α on human dysplastic oral keratinocytes (DOKs) comprehensively, including cell proliferation, cell cycle, apoptosis, xenograft tumor, mitochondrial DNA (mtDNA), mitochondrial electron transport chain complexes (ETC), reactive oxygen species (ROS), oxygen consumption rate (OCR), extracellular acidification rate (ECAR), and glucose uptake. We found that knockdown PGC1α significantly inhibited the proliferation of DOKs in vitro and tumor growth in vivo, induced S-phase arrest, and suppressed PI3K/Akt signaling pathway without affecting cell apoptosis. Mechanistically, downregulated of PGC1α decreased mtDNA, ETC, and OCR, while enhancing ROS, glucose uptake, ECAR, and glycolysis by regulating lactate dehydrogenase A (LDHA). Moreover, SR18292 (an inhibitor of PGC1α) induced oxidative phosphorylation dysfunction of DOKs and declined DOK xenograft tumor progression. Thus, our work suggests that PGC1α plays a crucial role in cell proliferation by reprograming energy metabolism and interfering with energy metabolism, acting as a potential therapeutic target for OPMDs.
Humans ; Carcinoma, Squamous Cell/metabolism* ; Cell Proliferation ; DNA, Mitochondrial ; Energy Metabolism ; Glucose ; Mouth Neoplasms/metabolism* ; Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha/metabolism* ; Phosphatidylinositol 3-Kinases ; Reactive Oxygen Species

Forensic science is looking for clues at a crime scene in order to reconstruct the crime scene.Classic clues include DNA and fingerprints.Forensic microbiology is a branch of forensic medicine that uses microbes as clues,providing us information about lifestyle,circadian rhythms,geographic locations,postmortem intervals,cancers,and oral or systemic diseases.Oral cavity,as the place with the second largest number of microorganisms,can provide researchers with microbial information of each ecological niche,and assist in the prediction,diagnosis and monitoring of oral or systemic diseases.This paper reviews the composition of oral microbiome,the application in oral diseases,systemic diseases and forensic medicine,with the aim of providing some references for the development of forensic microbiology based on oral microbiome.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress