Chemotherapy is currently the mainstay of systemic management for triple-negative breast cancer (TNBC), but chemoresistance significantly impacts patient outcomes. Our research indicates that Doxorubicin (Dox)-resistant TNBC cells exhibit increased glycolysis and ATP generation compared to their parental cells, with this metabolic shift contributing to chemoresistance. We discovered that ALKBH3, an m¹A demethylase enzyme, is crucial in regulating the enhanced glycolysis in Dox-resistant TNBC cells. Knocking down ALKBH3 reduced ATP generation, glucose consumption, and lactate production, implicating its involvement in mediating glycolysis. Further investigation revealed that aldolase A (ALDOA), a key enzyme in glycolysis, is a downstream target of ALKBH3. ALKBH3 regulates ALDOA mRNA stability through m¹A demethylation at the 3'-untranslated region (3'UTR). This methylation negatively affects ALDOA mRNA stability by recruiting the YTHDF2/PAN2-PAN3 complex, leading to mRNA degradation. The ALKBH3/ALDOA axis promotes Dox resistance both in vitro and in vivo. Clinical analysis demonstrated that ALKBH3 and ALDOA are upregulated in breast cancer tissues, and higher expression of these proteins is associated with reduced overall survival in TNBC patients. Our study highlights the role of the ALKBH3/ALDOA axis in contributing to Dox resistance in TNBC cells through regulation of ALDOA mRNA stability and glycolysis.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Objective To investigate the anti-tumor mechanism of natural compound toosendanin(TSN)combined with olaparib in triple-negative breast cancer(TNBC).Methods Human TNBC cell line MDA-MB-231 was cultured in vitro.Effects of TSN combined with olaparib on autophagy levels and cell viability in MDA-MB-231 cells were evaluated using 0.5,1.0,and 5.0 μmol/L olaparib alone or in combination.Surgical specimens from four TNBC patients who had residual tumors after neoadjuvant chemotherapy were selected to establish patient-derived organoid(PDO)models.The drug sensitivity of TSN combined with olaparib in TNBC patients was detected.Whether TSN combined with olaparib can exert autophagy inhibitory effects and tumor-killing effects in organoid model was verified.Results Olaparib induced autophagy in MDA-MB-231 cell line,and the combination of TSN and olaparib inhibited the proliferation of MDA-MB-231 cells(P＜0.01).In the TNBC PDOs model,the therapeutic effect of olaparib combined with TSN can significantly reduce the proliferation ability of tumor cells compared with olaparib alone.Conclusion The tumor-killing effect of TSN combined with olaparib is superior to that of olaparib alone,and the mechanism may be related to autophagy inhibition.

Objective To investigate the anti-tumor mechanism of natural compound toosendanin(TSN)combined with olaparib in triple-negative breast cancer(TNBC).Methods Human TNBC cell line MDA-MB-231 was cultured in vitro.Effects of TSN combined with olaparib on autophagy levels and cell viability in MDA-MB-231 cells were evaluated using 0.5,1.0,and 5.0 μmol/L olaparib alone or in combination.Surgical specimens from four TNBC patients who had residual tumors after neoadjuvant chemotherapy were selected to establish patient-derived organoid(PDO)models.The drug sensitivity of TSN combined with olaparib in TNBC patients was detected.Whether TSN combined with olaparib can exert autophagy inhibitory effects and tumor-killing effects in organoid model was verified.Results Olaparib induced autophagy in MDA-MB-231 cell line,and the combination of TSN and olaparib inhibited the proliferation of MDA-MB-231 cells(P＜0.01).In the TNBC PDOs model,the therapeutic effect of olaparib combined with TSN can significantly reduce the proliferation ability of tumor cells compared with olaparib alone.Conclusion The tumor-killing effect of TSN combined with olaparib is superior to that of olaparib alone,and the mechanism may be related to autophagy inhibition.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To perform two-step clustering analysis based on urodynamics in patients with neurogenic bladder (NB) and exploring characteristics affecting success rate of sacral neuromodulation (SNM).Methods:The data of 174 NB patients who received SNM therapy in our hospital from September 2018 to August 2023, were retrospectively analysed. There were 94 males and 80 females, with average age of (50.4±17.9)years, median duration of 2 (1, 3)years, and body mass index of 21.5 (20, 25) kg/m 2. Among them, 50 patients had chronic diseases (hypertension or diabetes). Additionally, 77 patients (44.3%) presented with voiding symptoms, 47 patients (27.0%) with storage symptoms, and 50 patients (28.7%) with mixed symptoms. The etiologies included spinal cord lesions in 110 patients (63.2%), brain lesions in 21 patients (12.1%), peripheral nerve lesions in 36 patients (20.7%), and other causes in 7 patients (4.0%). All patients underwent urodynamics and SNM phase 1 test. If patient's subjective symptoms or objective indicators improved > 50%, it is defined as treatment success and feasible to received second stage of SNM. The success rate was analyzed. Clinical indicators and urodynamic parameter were collected for exploring the difference of the above indicators between two groups (with or without conversion). The 174 patients were grouped using two-step clustering analysis, dividing them into two groups. The differences in clinical data, urodynamic parameters, and the conversion rate of SNM phase II between the two groups were compared. Results:Among these patients, 126 (72%) underwent the second stage of SNM. Compared with the non-conversion group, patients in the conversion group exhibited the following characteristics: high proportion of female[51.6% (65/126) vs. 31.2% (15/48)], younger[(48.1± 18.3)year vs. (56.4±15.4) year], lower proportion of history of chronic disease[23.9% (30/126) vs. 41.7% (20/48)], storage predominant symptoms predominant[33.3% (42/126) vs. 10.4% (5/48)], sensitive bladder sensation[50.0% (63/126) vs. 11.1% (14/48)], normal detrusor contractility [26.2% (33/126) vs. 10.4% (5/48)] and detrusor-sphincter dyssynergia [21.4% (27/126) vs. 4.2% (2/48)]and lower post-void residual [105.5(49.3, 231.3) ml vs. 197.9(114.8, 284.8) ml], ( P<0.05). After excluding multicollinearity, patients were divided into two group mainly based on coordination, detrusor stability, and detrusor contractility through two-step clustering analysis: 98 patients in Group 1 and 76 patients in Group 2. The success rate was higher in Group 2 [82.9% (63/76) vs. 64.3% (63/98), P=0.006]. Compared with Group 1, Group 2 exhibited the following characteristics: higher proportion of storage symptoms [43.4% (33/76) vs. 14.3% (14/98)], sensitive bladder sensation [67.1% (51/76) vs. 26.5% (26/98)], detrusor overactivity [46.1% (35/76) vs. 3.1% (3/98)], normal detrusor contractility [43.4% (33/76) vs. 5.1% (5/98)], and detrusor-sphincter dyssynergia [38.2% (29/76) vs. 0] ( P all<0.05). Additionally, group 2 had lower post-void residual [69.0 (23.8, 136.6) ml and 197.9 (123.2, 287.4) ml] and smaller bladder capacity [(281.9±144.9) ml vs. (430.4±176.7) ml] ( P all<0.01). Conclusions:Patients with storage symptoms, low post-void residual, sensitive bladder sensation, detrusor overactivity, normal contractility, or detrusor-sphincter dyssynergia indicate a higher conversion rate to second stage, making them more suitable for SNM testing.