Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Collagen is a major structural protein in the matrix of animal cells and the most widely distributed and abundant functional protein in mammals. Collagen’s good biocompatibility, biodegradability and biological activity make it a very valuable biomaterial. According to the source of collagen, it can be broadly categorized into two types: one is animal collagen; the other is recombinant collagen. Animal collagen is mainly extracted and purified from animal connective tissues by chemical methods, such as acid, alkali and enzyme methods, etc. Recombinant collagen refers to collagen produced by gene splicing technology, where the amino acid sequence is first designed and improved according to one’s own needs, and the gene sequence of improved recombinant collagen is highly consistent with that of human beings, and then the designed gene sequence is cloned into the appropriate vector, and then transferred to the appropriate expression vector. The designed gene sequence is cloned into a suitable vector, and then transferred to a suitable expression system for full expression, and finally the target protein is obtained by extraction and purification technology. Recombinant collagen has excellent histocompatibility and water solubility, can be directly absorbed by the human body and participate in the construction of collagen, remodeling of the extracellular matrix, cell growth, wound healing and site filling, etc., which has demonstrated significant effects, and has become the focus of the development of modern biomedical materials. This paper firstly elaborates the structure, type, and tissue distribution of human collagen, as well as the associated genetic diseases of different types of collagen, then introduces the specific process of producing animal source collagen and recombinant collagen, explains the advantages of recombinant collagen production method, and then introduces the various systems of expressing recombinant collagen, as well as their advantages and disadvantages, and finally briefly introduces the application of animal collagen, focusing on the use of animal collagen in the development of biopharmaceutical materials. In terms of application, it focuses on the use of animal disease models exploring the application effects of recombinant collagen in wound hemostasis, wound repair, corneal therapy, female pelvic floor dysfunction (FPFD), vaginal atrophy (VA) and vaginal dryness, thin endometritis (TE), chronic endometritis (CE), bone tissue regeneration in vivo, cardiovascular diseases, breast cancer (BC) and anti-aging. The mechanism of action of recombinant collagen in the treatment of FPFD and CE was introduced, and the clinical application and curative effect of recombinant collagen in skin burn, skin wound, dermatitis, acne and menopausal urogenital syndrome (GSM) were summarized. From the exploratory studies and clinical applications, it is evident that recombinant collagen has demonstrated surprising effects in the treatment of all types of diseases, such as reducing inflammation, promoting cell proliferation, migration and adhesion, increasing collagen deposition, and remodeling the extracellular matrix. At the end of the review, the challenges faced by recombinant collagen are summarized: to develop new recombinant collagen types and dosage forms, to explore the mechanism of action of recombinant collagen, and to provide an outlook for the future development and application of recombinant collagen.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective:To investigate the toxic effect of chlorambucil combined with ibrutinib on mantle cell lymphoma(MCL)cell line Jeko-1 and its related mechanism.Methods:The MCL cell line Jeko-1 was incubated with different concentrations of chlorambucil or ibrutinib or the combination of the two drugs,respectively.CCK-8 assay was used to detect the proliferation of the cells,and Western blot was used to measure the protein expression levels of BCL-2,caspase-3,PI3K,AKT and P-AKT.Results:After Jeko-1 cells were treated with chlorambucil(3.125,6.25,12.5,25,50 μmol/L)and ibrutinib(3.125,6.25,12.5,25,50 μmol/L)alone for 24,48,72h respectively,the cell proliferation was inhibited in a time-and dose-dependent manner.Moreover,the two drugs were applied in combination at low doses(single drug inhibition rate＜50％),and the results showed that the combination of two drugs had a more significant inhibitory effect(all P＜0.05).Compared with the control group,the apoptosis rate of the single drug group of chlorambucil(3.125,6.25,12.5,25,50 μmol/L)and ibutinib(3.125,6.25,12.5,25,50 μmol/L)was increased in a dose-dependent manner.The combination of the two drugs at low concentrations(3.125,6.25,12.5 μmol/L)could significantly increase the apoptosis rate compared with the corresponding concentration of single drug groups(all P＜0.05).Compared with control group,the protein expression levels of caspase-3 in Jeko-l cells were upregulated,while the protein expression levels of BCL-2,PI3K,and p-AKT/AKT were downregulated after treatment with chlorambucil or ibrutinib alone.The combination of the two drugs could produce a synergistic effect on the expressions of the above-mentioned proteins,and the differences between the combination group and the single drug groups were statistically significant(all P＜0.05).Conclusion:Chlorambucil and ibrutinib can promote the apoptosis of MCL cell line Jeko-1,and combined application of the two drugs shows a synergistic effect,the mechanism may be associated with the AKT-related signaling pathways.

Objective:To investigate the expression level of small nucleolar RNA(snoRNA)SNORA63 in bone marrow of patients with acute leukemia(AL)and its significance in the clinical diagnosis,treatment and prognosis of AL patients.Methods:Bone marrow samples of 53 newly diagnosed AL patients and 29 healthy subjects in the Affiliated Hospital of Guangdong Medical University from March 2018 to December 2021 were collected.Quantitative real-time polymerase chain reaction(qRT-PCR)was used to detect the relative expression level of SNORA63 in bone marrow mononuclear cells of the two groups.The median expression level of SNORA63 in AL patients was used as the boundary value to divide the patients into SNORA63 high and low expression groups,and the relationship between the expression level of SNORA63 and the clinical characteristics,clinical indicators and prognosis of AL patients was analyzed and discussed.Results:The relative expression level of SNORA63 in AL patients was significantly lower than that in healthy control group[0.3018(0.0244-1.2792)vs 1.0882(0.2797-1.9889)](P＜0.01).The expression level of SNORA63 in AL patients without remission after initial treatment was significantly lower than that in healthy controls and the patients who received complete remission(CR)(P＜0.01),while there was no statistical difference in the expression level of SNORA63 between AML and ALL groups(P＞0.05).The abnormal low expression of SNORA63 was closely related to fever,hemorrage,poor prognosis,efficacy,platelets(PLT),lactate dehydrogenase(LDH),albumin(ALB),and molecular biological abnormalities of AL patients(P＜0.05),but not significantly correlated with sex,age,AL subtype,pallor,fatigue,extramedullary infiltration,white blood cell count(WBC),hemoglobin(HGB),C-reactive protein(CRP),procalcitonin(PCT),fibrinogen(FIB)or chromosome karyotype(P＞0.05).Meanwhile,overall survival(OS)and event-free survival(EFS)of AL patients in SNORA63 high-expression group were significantly higher than those in SNORA63 low-expression group(P＜0.05).Univariate Cox regression analysis showed that SNORA63,molecular biological abnormalities,fever,PLT and LDH were the factors influencing OS and EFS in AL patients(P＜0.05).Multivariate Cox regression analysis indicated that fever,molecular biological abnormalities and LDH were independent factors associated with OS and EFS in AL patients(P＜0.05).Conclusion:SNORA63 is significantly down-expressed in AL patients,which is a molecular marker of great clinical value for disease monitoring and prognosis evaluation in AL patients.

Objective:To explore and analyze the clinical features and prognostic factors of secondary intestinal diffuse large B-cell lymphoma(SI-DLBCL),in order to provide reference for the basic research and clinical diagnosis and treatment of secondary lymphoma of rare sites in the field of hematology.Methods:The clinical data of 138 patients with SI-DLBCL admitted to Fujian Medical University Union Hospital from June 2011 to June 2022 were collected and sorted,the clinical and pathological features,diagnosis,treatment and prognosis were analyzed.Cox regression risk model was used to conduct univariate and multivariate analysis on the prognostic risk factors.Results:Among the 138 patients with SI-DLBCL included in this study,85(61.59％)were male,53(38.41％)were female,the median age of onset was 59.5(16-84)years,the clinical manifestations lacked specificity,the first-line treatment regimen was mainly chemotherapy(67.39％),94 cases(68.12％)received chemotherapy alone,40 cases(28.98％)were treated with chemotherapy combined with surgery,and 4 cases(2.90％)were treated with surgery alone.The median follow-up time was 72(1-148)months.Among the 138 patients with SI-DLBCL,79(57.25％)survived,34(24.64％)died,25 cases(18.12％)lost to follow-up,the PFS rates of 1-year,3-year and 5-year were 57.97％,49.28％and 32.61％,and the OS rates of 1-year,3-year and 5-year were 60.14％,54.35％and 34.06％,respectively.The results of univariate Cox regression analysis showed that age,Lugano stage and IPI score were the influencing factors of OS in SI-DLBCL patients,and age,Lugano stage and IPI score were the influencing factors of PFS in SI-DLBCL patients.The results of multivariate Cox analysis showed that Lugano stage was an independent prognostic factor affecting OS and PFS in SI-DLBCL patients.Conclusion:Patients with SI-DLBCL are more common in middle-aged and elderly men,and the early clinical manifestations lack specificity,and the first-line treatment regimen is mainly R-CHOP chemotherapy,and Lugano stage is an independent prognostic factor affecting OS and PFS in SI-DLBCL patients.

A 19-year-old male patient was admitted to a community hospital in Yangpu District of Shanghai in September 2023 due to diarrhea (4 times per day, watery stool) for 3 consecutive days. The patient had a history of eating out at a barbecue restaurant the night before the onset. The case accorded with diarrhea disease surveillance, and the pathogen was isolated as "non-A-F serogroup Salmonella" by the public health laboratory in the area where the patient′s feces swab was collected. The strain was identified as Salmonella Urbana ST512 by serological typing, antimicrobial resistance phenotype, and whole genome sequencing analysis in the Reference Lab, and then compared with the regional serotype database of Salmonella in China. At last, the patient was cured after taking levofloxacin orally for 3 days.