Objective To investigate the value of ultrasonographic features combined with immunohistochemistry in predicting axillary lymph node metastasis in middle-aged women with breast cancer.Methods A retrospective analysis was conducted on 827 middle-aged female breast cancer patients who underwent surgical treatment at the Affiliated Hospital of Chengde Medical University from June 2017 to June 2023.Ultrasonographic and immunohistochemical information was collected,and the patients were randomly allocated into a training set(579 patients)and a validation set(248 patients).Univariate and multivariate Logistic regression analyses were performed to identify ultrasonographic and immunohistochemical risk factors associated with axillary lymph node metastasis in these patients,and a nomogram model was developed.Receiver operating characteristic curves and calibration curves were established to evaluate the performance of the nomogram model,and clinical decision curves were built to assess the clinical value of the model.Results The maximum diameter,morphology,boundary,calcification,and expression of human epidermal growth facor receptor 2 and Ki-67 in breast cancer lesions were identified as risk factors for predicting axillary lymph node metastasis in middle-aged women.The areas under the curve of the nomogram model on the training and validation sets were 0.747(0.707-0.787)and 0.714(0.647-0.780),respectively.Calibration curves and clinical decision curves indicated good consistency and performance of the model.Conclusion The nomogram model constructed based on ultrasonographic features and immunohistochemistry of the primary breast cancer lesion demonstrates high value in predicting axillary lymph node metastasis in middle-aged women with breast cancer.
Humans ; Female ; Breast Neoplasms/diagnostic imaging* ; Middle Aged ; Lymphatic Metastasis/diagnostic imaging* ; Axilla ; Retrospective Studies ; Nomograms ; Ultrasonography ; Immunohistochemistry ; Lymph Nodes/diagnostic imaging* ; Risk Factors ; Ki-67 Antigen

OBJECTIVES: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC), and developing personalized treatment strategies is crucial for improving patient prognosis. This study aims to develop and validate a preoperative computer tomography (CT) radiomics-based predictive model to estimate Ki-67 expression in ccRCC patients, thereby assisting in clinical treatment decisions and prognosis prediction. METHODS: A retrospective analysis was conducted on 214 ccRCC patients who underwent surgical treatment at Gansu Provincial Hospital between January 2018 and November 2023. Patients were classified into high Ki-67 expression (n=123) and low Ki-67 expression (n=91) groups based on postoperative immunohistochemical staining results. The dataset was randomly divided in a 7꞉3 ratio into a training set (n=149) and a validation set (n=65). Preoperative contrast-enhanced urinary CT images and clinical data were collected. After preprocessing, 5 mm arterial-phase CT images were manually segmented layer by layer to delineate the region of interest (ROI) using ITK-SNAP 3.8 software. Radiomic features were then extracted using the FeAture Explorer (FAE) package. Dimensionality reduction and feature selection were performed using the least absolute shrinkage and selection operator (LASSO) algorithm, yielding the optimal feature set. Three classification models were constructed using logistic regression (LR), multilayer perceptron (MLP), and support vector machine (SVM). The receiver operating characteristic (ROC) curve, area under the curve (AUC), decision curve analysis (DCA), and calibration curves were used for model evaluation. RESULTS: A total of 107 radiomic features were extracted from 5 mm arterial-phase CT images, and twenty-one features significantly associated with Ki-67 expression were selected using the LASSO algorithm. Predictive models were developed using LR, MLP, and SVM classifiers. In the training and validation sets, the AUC values for each model were 0.904 (95% CI 0.852 to 0.956) and 0.818 (95% CI 0.710 to 0.926) for the LR model, 0.859 (95% CI 0.794 to 0.923) and 0.823 (95% CI 0.716 to 0.929) for the MLP model, and 0.917 (95% CI 0.865 to 0.969) and 0.857 (95% CI 0.760 to 0.953) for the SVM model. DCA demonstrated that all models had good clinical net benefit, while calibration curves indicated high accuracy of the predictions, supporting the robustness and reliability of the models. CONCLUSIONS A CT radiomics-based model for predicting Ki-67 expression in ccRCC was successfully developed. This model provides valuable guidance for treatment planning and prognostic assessment in ccRCC patients.
Humans ; Carcinoma, Renal Cell/surgery* ; Kidney Neoplasms/surgery* ; Tomography, X-Ray Computed/methods* ; Ki-67 Antigen/metabolism* ; Retrospective Studies ; Female ; Male ; Middle Aged ; Aged ; Prognosis ; Adult ; Preoperative Period ; Radiomics

OBJECTIVES: Shear wave elastography (SWE) is a novel quantitative elastography technique that can assess the hardness of different tissues. This study introduces a novel shear wave parameter-frequency of mass characteristic (f_mass)-and investigates its correlation, along with other shear wave parameters, with the histopathological features and immunohistochemical (IHC) biomarkers of invasive breast cancer (IBC). The study aims to explore whether SWE can provide useful information for IBC treatment and prognosis. METHODS: With the pathological results as the gold standard, 258 malignant breast lesions were collected, and all patients underwent conventional ultrasound and SWE examinations. The SWE parameters [maximum elastic value (E_max), minimum elastic value (E_min), mean elastic value (E_mean), standard deviation of elastic value of the whole lesion (E_sd)] and f_mass] in the transverse and longitudinal orthogonal sections were measured, and their correlations with the prognostic factors of IBC [including tumor diameters, axillary lymph node (ALN) metastasis, lymphatic vessel invasion (LVI), calcification, histological type, histological grade, and IHC biomarkers (ER, PR, HER-2, Ki-67), and molecular subtypes] were analyzed. The correlations between the SWE parameters of the transverse and longitudinal sections of the tumors with different prognostic factors and the above indicators were analyzed. At the same time, the receiver operating characteristic (ROC) curve was used to analyze the efficacy of f_mass in predicting ER and PR expression. RESULTS: E_mean, E_max, E_sd, and f_mass were correlated with tumor diameters; E_mean, E_max and E_sd were correlated with histological types and histological grades. E_max and E_sd were correlated with ALN metastasis, LVI and pathological types. In the IHC biomarker-labeled masses, f_mass was correlated with ER and PR (both P<0.05), and E_mean, E_max, and E_sd were correlated with HER-2 and Ki-67 (all P<0.05). E_mean, E_max, and f_mass were all correlated with breast cancer subtypes (all P<0.05), and E_mean and E_max were higher in Luminal B [HER-2(+)] breast cancer, while f_mass was lower in HER-2(+) and triple-negative breast cancer. Among the statistically significant prognostic factors, the P values of the transverse sections of the masses were all less than or equal to those of the longitudinal sections. The AUC of f_mass in the transverse sections of the masses for predicting ER and PR expression were 0.73 (95% CI 0.65 to 0.80) and 0.67 (95% CI 0.60 to 0.74), respectively, with the optimal cut-off values being 76.50 and 60.66, the sensitivities being 72.45% and 81.98%, the specificities being 66.13% and 45.35%, and the accuracies being 70.93% and 69.77%, respectively. The AUC of f_mass in the longitudinal sections of the masses for predicting ER and PR expression were 0.74 (95% CI 0.67 to 0.81) and 0.65 (95% CI 0.58 to 0.72), respectively, with the optimal cut-off values being 131.8 and 137.5, the sensitivities being 69.90% and 66.28%, the specificities being 72.58% and 60.47%, and the accuracies being 70.54% and 64.34%, respectively. The f_mass in the transverse sections of the masses was more statistically significant. CONCLUSIONS The poor prognosis factors of IBC are related to high E_mean, E_min, E_max, E_sd, and low f_mass. The f_mass can predict the expression of ER and PR, and the transverse cut data are more meaningful. SWE is helpful for predicting the invasiveness of IBC.
Humans ; Breast Neoplasms/metabolism* ; Female ; Elasticity Imaging Techniques/methods* ; Biomarkers, Tumor/metabolism* ; Middle Aged ; Adult ; Prognosis ; Immunohistochemistry ; Neoplasm Invasiveness ; Receptor, ErbB-2/metabolism* ; Aged ; Lymphatic Metastasis ; Receptors, Estrogen/metabolism* ; Receptors, Progesterone/metabolism* ; Ki-67 Antigen/metabolism*

OBJECTIVES: To explore the clinical significance of the tertiary lymphoid structure (TLS) maturity in colorectal cancer patients. METHODS: A total of 230 surgically removed colorectal cancer specimens with detailed follow-up data were collected from Yinzhou Second Hospital. The patients were divided into mature TLS group and immature TLS group according to immunohistochemical results. The patient age, gender, maximum tumor diameter, tumor location, differentiation degree, depth of invasion, lymph node metastasis, vascular tumor thrombus, liver metastasis, distant non-liver metastasis, mismatch repair status, expression of Ki-67, P53 and programmed death-ligand (PD-L) 1 were analyzed. The Kaplan-Meier method (Breslow test) was used to analyze the survival of patients, and multivariate Cox regression model was applied to analyze the prognostic factors. RESULTS: There were 128 cases of mature TLS and 102 cases of immature TLS. Compared to the immature TLS group, the mature TLS group showed a significantly lower rate of vascular tumor thrombus, lymph node metastasis, and liver metastasis. Additionally, the positive expression rate of Ki-67 was markedly reduced, while the rate of deficient mismatch repair and the positive rate of PD-L1 were significantly increased (all P<0.05). The overall survival rate of the mature TLS group was superior to that of the immature TLS group (Breslow=4.553, P<0.05). Cox regression analysis indicated that lymph node metastasis was an independent risk factor for the prognosis of colorectal cancer patients (P<0.01), while TLS maturation was a protective factor (P<0.05). CONCLUSIONS The formation of TLS may play a significant role in inhibiting lymph node metastasis, liver metastasis, and vascular tumor thrombus in colorectal cancer. In addition, patients with mature TLS have a favorable clinical prognosis.
Humans ; Colorectal Neoplasms/pathology* ; Male ; Female ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Prognosis ; Aged ; Adult ; Lymphatic Metastasis ; Ki-67 Antigen/metabolism* ; B7-H1 Antigen/metabolism* ; Clinical Relevance

Objective: To investigate the effect of rigosertib (RGS) combined with classic chemotherapy drugs including 5-fluorouracil, oxaliplatin, and irinotecan in colorectal cancer. Methods: Explore the synergy effects of RGS and 5-fluorouracil (5-FU), oxaliplatin (OXA), and irinotecan (IRI) on colorectal cancer by subcutaneously transplanted tumor models of mice. The mice were randomly divided into control group, RGS group, 5-FU group, OXA group, IRI group, 5-FU+ RGS group, OXA+ RGS group and IRI+ RGS group. The synergy effects of RGS and OXA on KRAS mutant colorectal cancer cell lines in vitro was detected by CCK-8. Ki-67 immunohistochemistry and TdT-mediated dUTP nick-end labeling (TUNEL) staining were performed on the mouse tumor tissue sections, and the extracted tumor tissue was analyzed by western blot. The blood samples of mice after chemotherapy and RGS treatment were collected, blood routine and liver and kidney function analysis were conducted, and H&E staining on liver sections was performed to observe the side effects of chemotherapy and RGS. Results: The subcutaneously transplanted tumor models were established successfully in all groups. 55 days after administration, the fold change of tumor size of OXA+ RGS group was 37.019±8.634, which is significantly smaller than 77.571±15.387 of RGS group (P=0.029) and 92.500±13.279 of OXA group (P=0.008). Immunohistochemical staining showed that the Ki-67 index of tumor tissue in control group, OXA group, RGS group and OXA+ RGS group were (100.0±16.8)%, (35.6±11.3)%, (54.5±18.1)% and (15.4±3.9)%, respectively. The Ki-67 index of OXA+ RGS group was significantly lower than that in control group (P=0.014), but there was no significant difference compared to OXA group and RGS group (OXA: P=0.549; RGS: P=0.218). TUNEL fluorescence staining showed that the apoptotic level of OXA+ RGS group was 3.878±0.547, which was significantly higher than 1.515±0.442 of OXA group (P=0.005) and 1.966±0.261 of RGS group (P=0.008). Western blot showed that the expressions of apoptosis related proteins such as cleaved-PARP, cleaved-caspase 3 and cleaved-caspase 8 in the tumor tissues of mice in the OXA+ RGS group were higher than those in control group, OXA group and RGS group. After the mice received RGS combined with chemotherapy drugs, there was no significant effect on liver and kidney function indexes, but the combined use of oxaliplatin and RGS significantly reduced the white blood cells [(0.385±0.215)×10(9)/L vs (5.598±0.605)×10(9)/L, P<0.001] and hemoglobin[(56.000±24.000)g/L vs (153.333±2.231)g/L, P=0.001] of the mice. RGS, chemotherapy combined with RGS and chemotherapy alone did not significantly increase the damage to liver cells. Conclusions: The combination of RGS and oxaliplatin has a stronger anti-tumor effect on KRAS mutant colorectal cancer. RGS single agent will not cause significant bone marrow suppression and hepatorenal injury in mice, but its side effects may increase correspondingly after combined with chemotherapy.
Animals ; Mice ; Antineoplastic Combined Chemotherapy Protocols ; Apoptosis Regulatory Proteins ; Colorectal Neoplasms/genetics* ; Fluorouracil/pharmacology* ; Irinotecan/therapeutic use* ; Ki-67 Antigen ; Oxaliplatin ; Proto-Oncogene Proteins p21(ras)/therapeutic use*

BACKGROUND: In light of the significant clinical benefits of antibody-drug conjugates in clinical trials, the human epidermal growth factor receptor 2 (HER2)-low category in breast cancers has gained increasing attention. Therefore, we studied the clinicopathological characteristics of Chinese patients with hormone receptor (HR)-positive/HER2-low early-stage breast cancer and developed a recurrence risk prediction model. METHODS: Female patients with HR-positive/HER2-low early-stage breast cancer treated in 29 hospitals of the Chinese Society of Breast Surgery (CSBrS) from Jan 2015 to Dec 2016 were enrolled. Their clinicopathological data and prognostic information were collected, and machine learning methods were used to analyze the prognostic factors. RESULTS: In total, 25,096 patients were diagnosed with breast cancer in 29 hospitals of CSBrS from Jan 2015 to Dec 2016, and clinicopathological data for 6486 patients with HER2-low early-stage breast cancer were collected. Among them, 5629 patients (86.79%) were HR-positive. The median follow-up time was 57 months (4, 76 months); the 5-year disease-free survival (DFS) rate was 92.7%, and the 5-year overall survival (OS) rate was 97.7%. In total, 412 cases (7.31%) of metastasis were observed, and 124 (2.20%) patients died. Multivariate Cox regression analysis revealed that T stage, N stage, lymphovascular thrombosis, Ki-67 index, and prognostic stage were associated with recurrence and metastasis ( P <0.05). A recurrence risk prediction model was established using the random forest method and exhibited a sensitivity of 81.1%, specificity of 71.7%, positive predictive value of 74.1%, and negative predictive value of 79.2%. CONCLUSION: Most of patients with HER2-low early-stage breast cancer were HR-positive, and patients had favorable outcome; tumor N stage, lymphovascular thrombosis, Ki-67 index, and tumor prognostic stage were prognostic factors. The HR-positive/HER2-low early-stage breast cancer recurrence prediction model established based on the random forest method has a good reference value for predicting 5-year recurrence events. REGISTRITATION ChiCTR.org.cn, ChiCTR2100046766.
Humans ; Female ; Breast Neoplasms/diagnosis* ; Ki-67 Antigen ; Receptor, ErbB-2 ; Prognosis ; Thrombosis ; Receptors, Progesterone

OBJECTIVES: To analyze the clinicopathological features of maxillofacial granular cell tumors (GCT) with the aid of immunohistochemical staining. METHODS: Seven cases of maxillofacial GCT were retrospectively collated, and the microscopic morphology of maxillofacial GCT was analyzed. The expression of S-100, neuron-specific enolase (NSE), SOX-10, CD68, actin, desmin, and Ki-67 in GCT was detected by immunohistochemical staining. The cases were observed in the follow-ups after clinical treatment. RESULTS: All seven GCT tumors lacked envelopes and were poorly defined. Microscopically, the sizes of the tumor cells were large and appeared with inconspicuous cell membranes, forming a syncytium-like appearance. The cytoplasm was filled with characteristic eosinophilic granules. The immunohistochemical results showed that six cases were NSE-positive, five cases were S-100-positive, seven cases were CD68-positive, five cases were SOX-10-positive, one case was actin-positive, and seven cases were desmin-negative. The Ki-67 index did not exceed 5% in all cases. In the follow-up sessions, none of the six cases presented a recurrence. CONCLUSIONS Maxillofacial GCT has a characteristic histological structure. Immunohistochemical S-100, CD68, and other indicators can assist in diagnosis, and the prognosis is good after clinical resection.
Humans ; Ki-67 Antigen/metabolism* ; Granular Cell Tumor/surgery* ; Retrospective Studies ; Actins/metabolism* ; Desmin/metabolism* ; S100 Proteins/metabolism*

Objective To investigate the expression level of serine/threonine phosphoprotein phosphatase 4C(PPP4C)in gastric cancer,and analyze its relationship with prognosis and the underlying regulatory mechanism.Methods The clinical data of 104 gastric cancer patients admitted to the First Affiliated Hospital of Bengbu Medical College between January 2012 and August 2016 were collected.Immunohistochemical staining was employed to determine the expression levels of PPP4C and Ki-67 in the gastric cancer tissue.The gastric cancer cell lines BGC823 and HGC27 were cultured and transfected with the vector for PPP4C knockdown,the vector for PPP4C overexpression,and the lentiviral vector(control),respectively.The effects of PPP4C on the cell cycle and proliferation were analyzed and the possible regulatory mechanisms were explored.Results PPP4C was highly expressed in gastric cancer(P<0.001),and its expression promoted malignant progression of the tumor(all P<0.01).Univariate and Cox multivariate analysis clarified that high expression of PPP4C was an independent risk factor affecting the 5-year survival rate of gastric cancer patients(P=0.003).Gene ontology and Kyoto encyclopedia of genes and genomes enrichment analysis suggested that PPP4C may be involved in the cell cycle.The correlation analysis showed that the expression of PPP4C was positively correlated with that of Ki-67 in gastric cancer(P<0.001).The up-regulation of PPP4C expression increased the proportion of tumor cells in the S phase,alleviated the G2/M phase arrest,and promoted the proliferation of gastric cancer cells and the expression of cyclin D1 and cyclin-dependent kinase 6(CDK6)(all P<0.05).The down-regulation of PPP4C decreased the proportion of gastric cancer cells in the S phase,promoted G2/M phase arrest,and inhibited cell proliferation and the expression of cyclin D1,CDK6,and p53(all P<0.05).p53 inhibitors promoted the proliferation of BGC823 and HGC27 cells in the PPP4C knockdown group(P<0.001,P<0.001),while p53 activators inhibited the proliferation of BGC823 and HGC27 cells in the PPP4C overexpression group(P<0.001,P=0.002).Conclusions PPP4C is highly expressed in gastric cancer and affects the prognosis of the patients.It may increase the proportion of gastric cancer cells in the S phase and alleviate the G2/M phase arrest by inhibiting p53 signaling,thereby promoting cell proliferation.
Humans ; Stomach Neoplasms/genetics* ; Cyclin D1/metabolism* ; Tumor Suppressor Protein p53 ; Phosphoproteins/metabolism* ; Ki-67 Antigen ; Cell Line, Tumor ; Prognosis ; Cell Proliferation ; Phosphoprotein Phosphatases/metabolism* ; Threonine ; Serine

Objective To investigate the effects of paclitaxel and doxorubicin on the immune microenvironment of breast cancer in mice. Methods The CTR-DB database, a database for analysis of gene expression profiles and drug resistance characteristics related to tumor drug response, was used to analyze the effect of chemotherapeutic drugs on the immune microenvironment of breast cancer. Mouse models with breast cancer were established by in situ injection with 4T1 cells, a triple-negative breast cancer (TNBC) cells. Then they were treated with doxorubicin and paclitaxel, respectively. The sizes of tumor were recorded and analyzed by growth curve. The number of different types of immune cells was analyzed using flow cytometry. The expressions of Ki67, S100 calcium binding protein A9 (S100A9) and matrix metalloproteinase 9 (MMP9) were detected by immunohistochemistry. The cell cycles of 4T1 cells in paclitaxel group and doxorubicin group were analyzed by flow cytometry. Results The results of CTR_Microarray_75 analysis showed that the immune scores, and the number of cytotoxic lymphocytes, B lineages, CD8⁺ T cells, dendritic cells (DCs), monocytic lineages and natural killer (NK) cells in chemotherapy-sensitive breast cancer were higher than those in chemotherapy-insensitive breast cancer. Through growth curve analysis in mice with breast cancer, we found that both paclitaxel and doxorubicin could inhibit the increase of the tumor sizes, and the paclitaxel showed a higher inhibitory effect. The results of cytometry displayed that both paclitaxel and doxorubicin could restrain the expression of Ki67 and increase the number of breast cancer cells in G2/M phase, and in the paclitaxel group, the expression of Ki67 was lower and the number of breast cancer cells in G2/M phase was larger. Paclitaxel and doxorubicin enhanced the infiltration of CD45⁺ immune cells but decreased the infiltration of neutrophils. Additionally, paclitaxel promoted the infiltration of CD3⁺CD4⁺ T helper cells, CD3⁺CD8⁺ cytotoxic T cells and CD45⁺CD19⁺B cells, while doxorubicin increased the infiltration of CD4⁺CD25⁺ regulatory T cells (Tregs). The results of immunohistochemistry displayed that the paclitaxel significantly inhibited the expression of S100A9, while the doxorubicin significantly restrained the expression of MMP9. Conclusion Paclitaxel and doxorubicin can effectively inhibit the growth of breast cancer cells and change immune microenvironment of TNBC by regulating the different patterns of cell infiltration and the expression of different extracellular matrix components.
Animals ; Mice ; Humans ; Paclitaxel/pharmacology* ; Matrix Metalloproteinase 9 ; Triple Negative Breast Neoplasms/drug therapy* ; CD8-Positive T-Lymphocytes ; Ki-67 Antigen ; Doxorubicin/pharmacology* ; Calgranulin B ; Tumor Microenvironment

Objective To clarify the effect and mechanism of tumor antigen-loaded dendritic cells (Ag-DCs) combined with cytokine-induced killers (CIKs) on the killing of esophageal cancer tumor cells. Methods Peripheral blood DCs and CIKs were induced and cultured, and the DCs were loaded with tumor antigen to obtain Ag-DCs, and Ag-DCs were co-cultured with CIKs. The experiment was divided into CIK group, DC combined with CIK group, Ag-DC combined with CIK group. Flow cytometry was used to detect the phenotype of cells. MTT assay was employed to determine the killing activity against EC9706 cells. Annexin V-FITC/PI double staining was used to detect the apoptosis rate of cells, immunofluorescence staining to detect the expression of phosphorylated apoptotic signal-regulated kinase 1 (p-ASK1) and Western blot analysis to detect the expression of ASK1 pathway related proteins. A nude mouse model of esophageal cancer transplantation tumor was constructed and divided into control group, DC combined with CIK group and Ag-DC combined with CIK group. The corresponding immune cells were injected into the tail vein for treatment and the tumor volume was measured every 2 days. After 21 days, all nude mice were sacrificed with the tumors taken out. HE staining was used to observe the tumor pathological changes and immunohistochemical staining was performed to detect the expression of ki67 and ASK1 in the tumor tissue. Results Comparedwith the CIK group alone and the DC combined with CIK group, the ratio of CD3⁺ CD8⁺ and CD3⁺ CD56⁺ in the cells significantly increased after Ag-DCs and CIKs co-culture, along with the increased killing rate of EC9706 cells, increased apoptosis rate of EC9706 cells, and the improved activation level of ASK1. Compared with the CIK group and the DC combined with CIK group, the growth of the transplanted tumor in nude mice treated with Ag-DCs combined with CIKs was significantly inhibited, and after 21 days, it was observed that the tumor tissue mass in this group was relatively smaller, with sparsely arranged cells in the tumor tissue and a decline in the positive rate of ki67 in tumor tissue, while the positive rate of ASK1 was significantly increased. Conclusion Co-cultivation of tumor antigen-loaded DCs with CIKs can significantly increase the killing activity of esophageal cancer tumor cells. The mechanism of action may be related to the activation of the ASK1 pathway.
Animals ; Humans ; Mice ; Antigens, Neoplasm ; Cytokine-Induced Killer Cells ; Cytokines/metabolism* ; Cytotoxicity, Immunologic ; Dendritic Cells ; Esophageal Neoplasms/therapy* ; Ki-67 Antigen ; Mice, Nude