Correlation of Before and After Invasive Breast Cancer Neoadjuvant Chemotherapy for NFkB, Cyclin D1, and Survivin Expression (original) (raw)
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MMP-9 and CCR7 as Possible Predictors of Lymph Node Metastasis in Laryngeal Squamous Cell Carcinoma
Iranian Journal of Pathology
Scan to discover online Background & Objective: The expression of matrix metalloproteinase-9 (MMP-9) and chemokine receptor 7 (CCR7) is significantly associated with tumor invasion and metastasis. Little is known regarding the potential of these markers in predicting cancer metastasis in Laryngeal Squamous Cell Carcinoma (LSCC). Therefore, this study aimed to dissect the potential of these markers in predicting the lymph node metastasis in LSCC patients. Methods: Sixty tissue samples were obtained from the patients diagnosed pathologically with LSCC who underwent partial or total laryngectomy. The expression of MMP-9 and CCR7 was measured using the immunohistochemistry staining in the tissue samples of LSCC patients. The ROC (receiver operating characteristic) curve was used to determine the most significant cutoff points of expression according to the highest sensitivity and specificity of both the markers to predict the lymph node metastasis in LSCC. Then, the relationship between the clinicopathology features and the expression of MMP-9 and CCR7 was evaluated. Results: The expression of both MMP-9 and CCR7 was significantly correlated with the lymph node metastasis in LSCC (P<0.001). Furthermore, CCR7 expression exhibited the highest prediction accuracy (AUC 95.7%) and sensitivity (100%) in predicting the lymph node metastasis in LSCC compared to that of MMP-9 (AUC 92.9%, sensitivity 90%). We also found that patients with larger tumor size (> 4 cm) had significantly higher expression of MMP-9 and CCR7 (P<0.002 and P<0.001, respectively). The Elevated expression level of CCR7 statistically correlated with higher MMP-9 expression (P<0.001). Conclusion: MMP-9 and CCR7 might be beneficial as predictors of lymph node metastasis in LSCC patients.
Oncology Letters, 2022
Understanding the molecular mechanisms and gene expression in laryngeal squamous cell carcinoma (LSCC) may explain its aggressive biological behavior and regional metastasis pathways. In the present study, patients with locally advanced LSCC tumors were examined for differential gene expression in the normal mucosa (non-tumoral mucosa), tumors and lymph node tissues. The aim was to identify possible predictive genes for lymph node metastasis. A total of 16 patients who had undergone total laryngectomy with neck dissection for advanced LSCC were randomly selected from a hospital database: Eight of the patients had lymph node metastasis (Group 1) and the other eight patients did not have metastasis (Group 2). Overall survival (OS), disease-free survival (DFS) and disease-specific survival (DSS) were analyzed. For each patient, paraffin-embedded tissue samples were collected from non-tumoral mucosa, tumoral lesions and lymph node tissues. RNA was extracted from the tissue samples and used for complementary DNA synthesis, and microarray analysis was subsequently performed on each sample. Gene expression levels were determined in each specimen, and Groups 1 and 2 were compared and statistically analyzed. The microarray results for lymph node metastasis-positive and-negative groups, indicated the differential expression of 312 genes in the lymph nodes, 691 genes in the normal mucosal tissue and 93 genes in the tumor tissue. Transgelin (TAGLN) and cofilin 1 (CFL1) were identified as possible target genes and validated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The RT-qPCR results for TAGLN and CFL1 supported the microarray data. OS, DFS and DSS times were longer in Group 2 than in Group 1 (P=0.002, 0.015 and 0.009, respectively). In addition, TAGLN and CFL1 were associated with DFS and DSS. On the basis of these results, it is suggested that TAGLN and CFL1 expression may play an important role in the pathogenesis of regional metastasis and poor prognosis in advanced LSCC.
Open Access Macedonian Journal of Medical Sciences, 2023
BACKGROUND: Lymph-node metastasis (LNM) is the most frequent complication of invasive breast carcinoma (IBC). AIM: Using immunohistochemistry (IHC), this study aims to determine the role of membrane-type 1-matrix metalloproteinase (MT1-MMP) expression as a biomarker for LNM in IBC of no special type (IBC-NST). MATERIALS AND METHODS: Primary tumors from individuals with IBC-NST were preserved in paraffin and then categorized as having LNM or not. Tumor size, lymphovascular invasion (LVI), tumor grade, MT1-MMP expression, and other factors were evaluated across a range of ages. MT1-MMP expression was assessed by IHC, with supplemental data acquired from archives. Collecting and analyzing the data required the use of both bivariate and multivariate techniques. RESULTS: The odds ratio (OR) for LNM was 5.003 (95% CI: 1.68-20.61) for MT1-MMP expression, while the OR for LVI was 4.71 (95% CI: 1.57-18.8). These associations were found using the Firth penalized likelihood Logit analysis method. At an H-score cutoff of 202.22 (70.8% sensitivity and 95.8% specificity), an area under the receiver operating characteristic of 0.9130.038 (95% CI: 0.838-0.989) was found for MT1-MMP expression in diagnosing LNM. CONCLUSION: In conjunction with LVI, MT1-MMP expression may serve as a predictor of LNM. To further assist data separation in future research, the MT1-MMP expression H-score cutoff of 202.22 could be used.
Background: Breast cancer is one of the most common cancers among women in the world, especially in Iran. There are large numbers of molecular and genomic factors causing breast cancer as well as many markers associated with tumor invasion. Chemokines are small proteins that primarily regulate leukocyte trafficking in the homeostatic conditions and specific immune responses. Chemokine receptor 7 (CCR7) belongs a class A subtype 7-span transmembrane G-protein coupled receptor. CCR7 plays a role in the migration of tumor cells such as immune cells into lymphoid organs through binding to its only two ligands CCL19/CCL21. High expression of this marker has been observed in breast cancer. However, there have been limited and contradictory data in studies conducted on the relationship between the increasing expression of this marker with various clinical and pathological factors. Materials and Methods: This case-control practical study was carried out on total mastectomy samples from 70 patients with breast cancer and tumor-adjacent normal tissue using immunohistochemistry technique to assess the expression of CCR7 marker. The relationship among the marker expression with different clinical and pathological tumor factors such as age, tumor size, microscopic grade, neurovascular invasion, lymph node metastasis and tumor stage were evaluated in all patients. Since the both groups were matched for age, so McNemar test, Chi-square test and Fisher's exact test were used to compare the expression of CCR7 marker in the case and control groups. Conditional logistic regression was employed to compare the effects of other variables regarding the age harmonization. Results: CCR7 expression was observed in 63 (91.4%) out of 70 studied patients and in tumor-adjacent normal tissue of 55 patients (78.6%), while the marker expression intensity in normal tissue was lower than tumoral tissue (P<0.032) There was a significant relationship among the expression of CCR7 marker with disease stage (P<0.001), grade (P<0.035), lymph node metastasis (P<0.003), perineural invasion (P<0.037) and vascular invasion (P<0.01), but no significant relationship was found among CCR7 expression with other tumor clinicopathologic parameters such as age (P>0.19) and tumor size (P>0.105). Conclusion: Increased expression of CCR7 has a significant relationship with disease stage, grade, lymph node metastasis and neurovascular invasion of breast cancer but has no relationship with age of patients and tumor size. Therefore, this biomarker can be utilized as a predictive factor for tumor metastasis and survival of patients.
Cancer Genomics - Proteomics, 2019
Background/Aim: In metastatic head and neck squamous cell carcinoma (HNSCC) the metastatic tumor does not always keep the same gene expression profile as the parental tumor, which may influence the course of the disease. The aim of this study was to compare the expression of genes implicated in HNSCC carcinogenesis between the primary tumor and the corresponding lymph node metastasis. Materials and Methods: Eighteen HNSCC, their corresponding node metastases and non-neoplastic tissues were studied by RT-qPCR for the expression of EGFR, VEGF, claudin7, maspin, survivin and SCCA. The levels of expression were correlated with histological characteristics and patients' prognosis. Results: All genes except for survivin displayed different expression in node metastasis compared to the primary tumor. The expression of EGFR, survivin, maspin, and claudin7 in node metastasis and SSCA in the primary tumor affected the prognosis. SCCA expression is associated with the expression of claudin7 and maspin. P16-positive tumors expressed low levels of VEGF and SCCA, while keratinizing tumors over-expressed VEGF. Conclusion: Differential gene expression levels in node metastases compared to the primary tumor is linked to the prognosis of HNSCC patients. The histological/immunohisto-chemical characteristics of the tumor are associated with these genes expression changes.
Clinical Cancer Research, 2011
Purpose: To determine the differential gene expression between oral squamous cell carcinoma (OSCC) with and without metastasis to cervical lymph nodes and to assess prediction of nodal metastasis by using molecular features. Experimental Design: We used Affymetrix U133 2.0 plus arrays to compare the tumor genome-wide gene expression of 73 node-positive OSCCs with 40 node-negative OSCCs (!18 months). Multivariate linear regression was used to estimate the association between gene expression and nodal metastasis. Stepwise logistic regression and receiver operating characteristics (ROC) analysis were used to generate predictive models and to compare these with models by using tumor size alone. Results: We identified five genes differentially expressed between node-positive and node-negative OSCCs after adjusting for tumor size and human papillomavirus status: REEP1, RNF145, CTONG2002744, MYO5A, and FBXO32. Stepwise regression identified a four-gene model (MYO5A, RFN145, FBXO32, and CTONG2002744) as the most predictive of nodal metastasis. A leave-one-out ROC analysis revealed that our model had a higher area under the curve (AUC) for identifying occult nodal metastasis compared with that of a model by tumor size alone (respective AUC: 0.85 and 0.61; P ¼ 0.011). A model combining tumor size and gene expression did not further improve the prediction of occult metastasis. Independent validation using 31 metastatic and 13 nonmetastatic cases revealed a significant underexpression of CTONG2002744 (P ¼ 0.0004). Conclusions: These results suggest that our gene expression markers of OSCC metastasis hold promise for improving current clinical practice. Confirmation by others and functional studies of CTONG2002744 is warranted. Clin Cancer Res; 17(8); 2466-73. Ó2011 AACR.
The prognostic value of CXCR4, MMP-2 and MMP-9 in tongue squamous carcinoma
PubMed, 2019
Currently, tongue squamous cancer appears to be more frequent, especially among adults under the age of 45. Approximately 50% of these patients are diagnosed late, with clinically detectable metastases; the five-year survival rate of patients with loco-regional metastases is less than 60%. In order to explain this behavior, many investigations have been conducted in recent years, most of them focusing on identification of potential prognostic and therapeutic markers involved in the pathogenesis of tongue cancers. Our research follows the same trend, which aims to study the prognostic implications of immunohistochemical (IHC) expression of markers C-X-C chemokine receptor type 4 (CXCR4), matrix metalloproteinase (MMP)-2 and MMP-9 in 54 cases of tongue squamous carcinoma. The cases were selected from the archives of the Laboratory of Pathology, Emergency County Hospital, Craiova, Romania, from the 2015-2017 period. They were immunohistochemically processed using the labeled Streptavidin-Biotin (LSAB) enzyme detection technique, and as a method of evaluating reactions, the IHC score developed by Remmele & Stegner. Reactivity for the investigated markers was recorded in both primary tumors, parenchymal and stromal, and in lymph node metastases, and also in normal or dysplastic mucosa adjacent to tumor lesions. The maximum tumor reactivity was recorded for CXCR4, followed by MMP-9 and MMP-2. In addition, all of these markers were expressed stronger in the invasion front and especially in the lymph node metastatic forms. This immunoprofile would suggest their implication in loco-regional invasion and dissemination processes, allowing the selection of the most aggressive forms of tongue squamous carcinoma.
Translational Cancer Research, 2018
Background: Biomarkers like programmed death ligand-1 (PDL1) have become a focal point for immunotherapeutic checkpoint inhibition in head and neck squamous cell carcinoma (HNSCC). However, it's only part of the total immunosuppressive biomarker profile of HNSCC cells. Matrix metalloproteinases (MMPs) are enzymes that break down the basement membrane allowing cancer cells to metastasize and play an important role in the tumor microenvironment. MMPs can also activate certain cytokines, growth factors, and chemokines post-translationally. The objective of this study was to determine MMP and biomarker profiles of seven different HNSCC cell lines. Methods: Authenticated cell lines were grown in minimal media at 1×10 6 viable cells/mL and incubated at 37 ℃. After 24 hrs supernatants were collected, and adhering cells were lysed. Multiplex immunoassays were used to determine MMP1, MMP7, MMP9, IL-6, VEGFA, IL-1α, TNF-α, GM-CSF, IL-1RA, and IL-8 concentrations in supernatants. ELISAs were used to determine PDL1, CD47, FASL, and IDO concentrations in cell lysates. A one-way ANOVA was fit to examine log-transformed concentrations of biomarkers between seven HNSCC cell lines, and pairwise group comparisons were conducted using posthoc Tukey's honest significance test (α=0.05). Results: Significant differences (P<0.05) in MMP and biomarker concentrations were found between the seven HNSCC cell lines. For example, MMP9 was highest in SCC25 and UM-SCC99, MMP7 was highest in SCC25 and UM-SCC19, and MMP1 was highest in SCC25. Conclusions: These results suggest different patients' HNSCC cells can express distinct profiles of select biomarkers and MMPs, which could be due to metastatic stage of the cancer, primary tumor site, type of tissue the tumor originated from, or genomic differences between patients. MMP and biomarker expression profiles should be considered when choosing cell lines for future studies. The results support the reason for personalized medicine and the need to further investigate how it can be used to treat HNSCC.