Purpose: Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context. Materials and Methods: We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10 3 /mm 3 )/lymphocyte count (10 3 /mm 3 ). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance. Results: Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014). Conclusions The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.

Purpose: Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context. Materials and Methods: We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10 3 /mm 3 )/lymphocyte count (10 3 /mm 3 ). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance. Results: Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014). Conclusions The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.

Purpose: Combinations of immune checkpoint inhibitors (ICIs) and chemotherapy have become the standard first-line treatment for human epidermal growth factor receptor 2 (HER-2)-negative advanced gastric cancer. However, primary resistance remains a challenge, with no effective biomarkers available for its prediction. This retrospective study explores the relationship between the baseline inflammatory burden index (IBI) and primary resistance in such context. Materials and Methods: We analyzed 62 patients with HER-2-negative advanced gastric cancer who received ICIs and chemotherapy as their first-line treatment. The IBI was calculated as follows: C-reactive protein (mg/L) × neutrophil count (10 3 /mm 3 )/lymphocyte count (10 3 /mm 3 ). Based on disease progression within 6 months, patients were categorized into the primary resistant or the control group. We compared baseline characteristics and IBI scores between the groups and assessed the predictive value of the IBI using the receiver operating characteristic curve. Both univariate and multivariate binary logistic regression analyses were conducted to identify factors influencing primary resistance. Results: Nineteen patients were included in the primary resistance group, and forty-three patients were included in the control group. The IBI was significantly higher in the resistant group compared to the control group (P<0.01). The area under the curve for the IBI was 0.82, indicating a strong predictive value. Multivariate analysis identified the IBI as an independent predictor of primary resistance (P=0.014). Conclusions The baseline IBI holds promise as a predictor of primary resistance to combined ICIs and chemotherapy in patients with HER-2-negative advanced gastric cancer.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

OBJECTIVE To analyze the types and control measures of major microorganisms in pharmaceutical water systems, so as to provide guidance for effective control of pharmaceutical water systems. METHODS The main microbial species, abundance and harmfulness of drinking water, purified water and water for injection were reviewed, and the control measures on microorganisms in pharmaceutical water were discussed. RESULTS There were differences in the main microbial types in pharmaceutical water. Burkholderia cepacia complex and Ralstonia pickettii were conditioned pathogens in pharmaceutical water, thus causing certain biological safety hazards. CONCLUSION Pharmaceutical companies can strengthen the control of microorganisms in the water system by establishing microbial databases and common microbial strain banks at all levels. Trend analysis should to be conducted based on alert limits and action limits, so as to strengthen the control of microorganisms in the water system.

Atractylodis rhizoma is a perennial herb of the Asteraceae family,which mainly divided into A.chinensis(DC)Koidz and Atractyiodes lancea(Thunb)DC,with the effects of strengthening the spleen,drying dampness,brightening the eyes,etc.Atractylodis rhizoma is mainly used in the clinical treatment of spleen deficiency and dampness,night blindness,eye fatigue and other symptoms.According to the clinical effect,and modern pharmacological researches have confirmed,the Chinese herbal medicine Atractylodis rhizoma contains a variety of active ingredients,such as volatile oils,alkynes,glycosides,etc.In recent years,pharmacological studies on Atractylodis rhizoma have found that atractylodin in polyalkynes has good activity in anti-inflammation,treatment of bacterial resistance,and inhibition of cholangiocarcinoma cell migration,and its high biological activity may be related to the conjugated enyne structure.Therefore,this article summarizes the studies on chemical components and pharmacological effects of polyalkynes in Atractylodis rhizoma that have been published in recent years,and comprehensively expounds the research progress of polyalkynes in Atractylodis rhizoma,so as to provide reference for scientific researchers and promote the in-depth development and utilization of the medicinal value of Atractylodis rhizoma.

Objective To evaluate the performance of the Quality of Life Instrument for Chronic Dis-ease Nephrotic Syndrome [QLICD-NS(V2.0)] in patients with nephrotic syndrome.Methods A total of 203 patients with nephrotic syndrome (NS) diagnosed in the Department of Nephrology,Affiliated Hospital of Guangdong Medical University from March 2021 to November 2021 were selected for QLICD-NS(V2.0) eval-uation,and the evaluation methods were generalization theory (GT) and item response theory (IRT).The dif-ficulty,discrimination coefficient and information amount of each item were obtained by using Multilog 7.0 software to analyze the grade response model (GRM) of IRT.Results The results of GT showed that the contribution ratio of the global total score in the four domains of QLICD-NS(V2.0) scale was evenly distribu-ted,and the generalization coefficient of the four domains was greater than 0.50.Except for social function,the variance component of the participants in the other three domains were greater than the item variance compo-nent,and the reliability index of each domain was greater than 0.50.The results of IRT showed that the dis-crimination degree of QLICD-NS(V2.0) scale was 0.82.Except for items TNS7 and TNS8,the difficulty coef-ficients of the other items ranged from -3 to 3 and increase monotonically.Conclusion The QLICD-NS (V2.0) scale has good reliability in physiological function and psychological function,and is acceptable in so-cial field and special function.The QLICD-NS(V2.0) scale developed in this study has good performance.

Objective To investigate the value of 18F labeled prostate-specific membrane antigen(18F-PSMA)-1007 developing agent PET/CT(18F-PSMA-1007PET/CT)examination in the diagnostic evaluation and therapeutic decision of the newly diagnosed prostate cancer(PCa)and follow up after radical prostatecto-my(RP).Methods This study adopted the retrospective observational study method.A total of 68 patients receiving 18 F-PSMA-1007 PET/CT examination in this hospital from September 2022 to October 2023 were analyzed,including 36 cases of newly diagnosed PCa and 32 cases of biochemistry follow up failure after RP.A total of 30 items of clinical data were collected,including 8 items of basic clinical characteristics,7 items of pa-thology-related characteristics and 15 items of imaging characteristics.The patients clinical characteristics in the newly diagnosed PCa and biochemical failure after RP conducted the descriptive analysis.The Fisher exact probability method was used to analyze the differentiation of the SUVmax of primary lesions in different clini-cal subgroups[different tPSA levels at diagnosis,different mi-T stages,different Gleason scores at postopera-tive pathological puncture and different pathological types]in the newly diagnosed PCa group and the differ-entiation of recurrent lesion detection rates in different clinical subgroups(different tPSA in 18F-PSMA-1007 PET/CT examination,different pathological T stages,different lymph node invasion and different pathological Gleason scores in the biochemical failure after RP group.The Spearman correlation was adopted to test and analyze the correlation between the imaging features of positive lesions and tPSA.Results In the newly diag-nosed PCa group,there were 1 case of prostatic hyperplasia and 35 cases of PCa.SUVmax had no statistical differences among the primary lesions with different tPSA levels(P=0.81),different mi-T stages(P=0.70),different puncture Glleasonscores(P=0.20)and different pathological types(P=0.71).Moreover the tPSA value at diagnosis was positively correlated with the number of metastatic lesions(r=0.410,P=0.01).The clinical treatment decisions in 11 cases(31.43％)were changed according to the examination re-sults.In 9 cases of RP combined with lymph node dissection,the accuracy rate and concordance rate of 18F-PS-MA-1007 PET/CT and MRI in the lymph node detection rate all were 100％.I n the biochemical failure after RP group,the overall recurrent lesion detection rate was 71.88％(23/32),the operative area in situ recurrence(11 cases,34.38％)and bone metastasis(11 cases,34.38％)were most common.The differences of 18F-PS-MA-1007 PET/CT recurrent lesions detection rates had no statistical differences among the patients with dif-ferent tPSA levels(P=0.08),different pathological T stages(P=0.10),different postoperative pathological lymph node invasions(P=0.68)and different pathologic Gleason score in the 18F-PSMA-1007 PET/CT ex-amination.In the 18 F-PSMA-1007 PET/CT examination in the biochemical failure after RP,the tPSA value in the recurrent lesion was positively correlated with the number of recurrent lesions(r=0.48,P=0.01),SUVmax value in the recurrent lesion(r=0.46,P=0.01)and the SUVmean value(r=0.38,P=0.03).The clinical treatment decision in 18 cases(56.25％)was changed according to the examination results.Conclusion 18 F-PSMA-1007 PET/CT has good diagnostic value and efficiency for primary lesion and metastasis lesion of new-ly diagnosed PCa and recurrent foci of biochemical failure after RP.

IgA nephropathy (IgAN) is one common type of glomerulonephritis caused by a deposition of immune complexes in mesangium and partial capillary loops. It is also an important risk factor for end-stage renal disease (ESRD). Kidney transplantation (KT) has been an ultimate treatment for IgAN patients progressing into ESRD. However, there is still a high risk of recurrence after transplantation. Currently no effective treatment is available for recurrent IgAN. This review summarized the latest researches of managing IgAN recurrence after KT, such as optimal treatment, immunosuppression, complement therapy and surgery.