Role of centromere protein H and Ki67 in relapse-free survival of patients after primary surgery for hypopharyngeal cancer

CENP-H as a new prognostic biomarker for tumors: a real-world literature review

Centromere protein H (CENP-H) is an important component of a functional centromere. Studies have demonstrated that CENP-H is overexpressed in renal cell, gastric, hypopharyngeal squamous cell, nasopharyngeal, endometrial, lung, cervical, esophageal, liver, colorectal, oral squamous cell, breast, and tongue carcinomas. CENP-H overexpression is positively correlated with a poor prognosis, pathological stage, T stage, and lymph node metastasis in patients with the above carcinomas. CENP-H can promote cancer growth and metastasis through PI3K/AKT, survivin, and mitochondrial apoptosis signaling mechanisms, and it can be regulated by long non-coding ribonucleic acid (lncRNA) plasmacytoma variant translocation 1 (PVT1)/miR-612, Sp1, or Sp3. This review aims to summarize the expression of CENP-H, the relationship between CENP-H expression and prognostic features, growth and metastasis of cancer in patients, as well as the mechanism of CENP-H in cancer. It also proposes a new candidate molecule for treating patients with cancer.

A machine learning model for predicting the three-year survival status of patients with hypopharyngeal squamous cell carcinoma using multiple parameters

OBJECTIVE

This study aimed to establish a model for predicting the three-year survival status of patients with hypopharyngeal squamous cell carcinoma using artificial intelligence algorithms.

METHOD

Data from 295 patients with hypopharyngeal squamous cell carcinoma were analysed retrospectively. Training sets comprised 70 per cent of the data and test sets the remaining 30 per cent. A total of 22 clinical parameters were included as training features. In total, 12 different types of machine learning algorithms were used for model construction. Accuracy, sensitivity, specificity, area under the receiver operating characteristic curve and Cohen's kappa co-efficient were used to evaluate model performance.

RESULTS

The XGBoost algorithm achieved the best model performance. Accuracy, sensitivity, specificity, area under the receiver operating characteristic curve and kappa value of the model were 80.9 per cent, 92.6 per cent, 62.9 per cent, 77.7 per cent and 58.1 per cent, respectively.

CONCLUSION

This study successfully identified a machine learning model for predicting three-year survival status for patients with hypopharyngeal squamous cell carcinoma that can offer a new prognostic evaluation method for the clinical treatment of these patients.

Centromere Protein I (CENP-I) Is Upregulated in Gastric Cancer, Predicts Poor Prognosis, and Promotes Tumor Cell Proliferation and Migration

This study aimed to investigate the expression and cellular function of the centromeric family of proteins (CENPs), especially centromere protein I (CENP-I), in gastric cancer (GC) and identified its clinical significance and cellular functions. CENP-I expression in GC was studied by cDNA microarray, quantitative real-time PCR (qRT-PCR), and immunohistochemistry (IHC), and using datasets from The Cancer Genome Atlas (TCGA), UALCAN, and Gene Expression Omnibus (GEO) databases. Microarray and bioinformatic analyses identified upregulated CENP-A/E/F/H/I/K/P/W and HJURP in stomach adenocarcinoma (STAD), but not in signet ring cell carcinoma (SRCC). Significantly higher CENP-I mRNA expression was also confirmed in 40 pairs of GC tissues than in paired normal gastric tissues by qRT-PCR (P<.001). IHC showed that elevated CENP-I expression was associated with higher tumor stage, lymph node invasion, increased HER2-positive rate (36.7% vs 10.0%), and intestinal Lauren classification in 69 GC samples compared to paired paracancerous normal tissues. The survival of the high-CENP-I group members was poor compared with that of the low-CENP-I group (P = .0011). Cox univariate regression analysis identified tumor size (P = .008), HER2 status (P = .027), and CENP-I expression (P = .049) were independent prognostic factors of GC. The cellular function of CENP-I was studied in MKN45 and MKN28 GC cell lines in vitro. Cell proliferation, migration, and apoptosis were determined using CCK-8, transwell assay, TUNEL assay, and flow cytometry. Our results showed that CENP-I promoted GC cell proliferation, inhibited apoptosis, facilitated cell migration, and induced epithelial–mesenchymal transition (EMT), possibly by activating the AKT pathway. CENP-I expression was correlated with genetic signatures of the proliferative subtype of GC, characterized by intestinal Lauren classification, HER2 amplification, and TP53 mutation. In conclusion, this study revealed an elevated CENP-I expression in GC, which was associated with malignant features and poor prognosis of GC patients, and identified its function in modulating cell proliferation, apoptosis, and migration.

Specific growth rates calculated from CTs in patients with head and neck squamous cell carcinoma: a retrospective study performed in Austria

OBJECTIVE

To provide data on specific growth rates (SGRs) of primary tumours (PT-SGR) and largest pathological cervical lymph nodes (LN-SGR) for head and neck squamous cell carcinoma (HNSCC). To explore PT-SGR's and LN-SGR's correlation with selected biomarkers epidermal growth factor receptor (EGFR), Ki67 and CD44.

DESIGN AND SETTING

Retrospective study performed at a tertiary oncological referral centre in Innsbruck, Austria.

PARTICIPANTS

Adult patients with incident HNSCC treated with primary radiotherapy (RT) or radiochemotherapy (RCT).

OUTCOME MEASURES

Volumes of the primary tumour (PT-volume) and largest pathological cervical lymph node (LN-volume) were measured in CT scans obtained at time of diagnosis and subsequent planning CTs immediately prior to RT or RCT. SGRs were calculated assuming an exponential growth function. PT-SGR's and LN-SGR's correlation with EGFR, Ki67 and CD44 were explored.

RESULTS

In 123 patients, mean interval between diagnostic and planning CT was 29±21 days. PT-SGR was 1.8±1.8% (mean±SD) per day and was positively correlated with EGFR, Ki67 and CD44 expression (p=0.02; p=0.02; p=0.03). LN-SGR was 1.7±2.0% per day and increased with larger initial LN-volume, was lower in laryngeal cancer (p=0.003) and slowed down with time. LN-SGR was not correlated with EGFR, Ki67 or CD44 expression in primary tumours (p>0.12). New cartilage or bone infiltration occurred in 10 patients and new central lymph node necrosis in 8 patients.

CONCLUSIONS

HNSCCs are fast-growing tumours for which treatment must not be delayed. Clinical tumour growth rates are influences by EGFR, KI67 and CD44 expression.

CENPI is overexpressed in colorectal cancer and regulates cell migration and invasion

Centromere protein I (CENPI),an important member of centromere protein family, has been suggest to serve as a oncogene in breast cancer, but the clinical significance and biological function of CENPI in colorectal cancer (CRC) is still unclear. In our results, we found CENPI was overexpressed in CRC tissues and cells, and associated with clinical stage, tumor depth, lymph node metastasis, distant metastasis and differentiation in CRC patients. However, there was no significant association between CENPI protein expression and overall survival time in colon cancer patients and rectal cancer patients through analyzing TCGA survival data. Moreover, CENPI mRNA and protein were increased in metastatic lymph nodes compared with primary CRC tissues. Down-regulation of CENPI expression suppresses CRC cell migration, invasion and epithelial mesenchymal transition process. In conclusion, CENPI is overexpressed in CRC and functions as oncogene in modulating CRC cell migration, invasion and EMT process.

Expression of PFKFB3 and Ki67 in lung adenocarcinomas and targeting PFKFB3 as a therapeutic strategy

Phosphofructokinase-2/fructose-2, 6-bisphosphatase 3 (PFKFB3) catalyzes the synthesis of F2,6BP, which is an allosteric activator of 6-phosphofructo-1-kinase (PFK-1): the rate-limiting enzyme of glycolysis. During tumorigenesis, PFKFB3 increases glycolysis, angiogenesis, and tumor progression. In this study, our aim was to investigate the significance of PFKFB3 and Ki67 in human lung adenocarcinomas and to target PFKFB3 as a therapeutic strategy. In this study, we determined the expression levels of PFKFB3 mRNA and proteins in cancerous and normal lung adenocarcinomas by quantitative reverse transcription PCR (qRT-PCR), Western blot analysis, and tissue microarray immunohistochemistry analysis, respectively. In human adenocarcinoma tissues, PFKFB3 and Ki67 protein levels were related to the clinical characteristics and overall survival. Both PFKFB3 mRNA and protein were significantly higher in lung adenocarcinoma cells (all P < 0.05). A high expression of PFKFB3 and Ki67 were associated with the degree of differentiation, TNM staging, lymph node metastasis, and survival. A high expression of PFKFB3 protein was an independent prognostic marker in lung adenocarcinoma. Subsequently, 1-(4-pyridinyl)-3-(2-quinolinyl)-2-propen-1-one (PFK15) was used as a selective antagonist of PFKFB3. Glycolytic flux was determined by measuring glucose uptake, F2,6BP, and lactate production. Cell viability, cell cycle, cell apoptosis, cell migration, and invasion were analyzed by MTT, flow cytometry, Western blot analysis, wound healing assay, and transwell chamber assay. By targeting PFKFB3, it inhibited cell viability and glycolytic activity. It also caused apoptosis and induced cell cycle arrest. Furthermore, the migration and invasion of A549 cells was inhibited. We conclude that PFKFB3 bears an oncogene-like regulatory element in lung adenocarcinoma progression. In the treatment of lung adenocarcinoma, targeting PFKFB3 would be a promising therapeutic strategy.

CENP-H regulates the cell growth of human hepatocellular carcinoma cells through the mitochondrial apoptotic pathway

The genomic alterations of hepatocellular carcinoma (HCC) are still unclear. Centromere protein-H (CENP-H) has been shown to be associated with many solid tumors. Our previous study found that CENP-H was upregulated in HCC and was related to patient prognosis. However, the biological functions of CENP-H in HCC and the possible underlying mechanisms have not been well elucidated. In the present study, we demonstrated that CENP-H knockdown inhibited the proliferation of Hep3B cells and decreased colony formation ability of single cells in vitro. Furthermore, CENP-H knockdown induced Hep3B cell apoptosis, and apoptotic bodies were observed using transmission electron microscopy. The protein expression of cleaved caspase-3 was upregulated in Hep3B cells after CENP-H knockdown. Additionally, a Bax/Bcl-2 ratio imbalance with a significant increase of Bax and a substantial decrease of Bcl-2 at both the mRNA and protein levels were determined in this study. In an animal experiment, CENP-H knockdown blocked the growth of Hep3B subcutaneous xenografts. Immunohistochemistry revealed that the protein expression of cleaved caspase-3 and Bax was increased, whereas the protein expression of Bcl-2 and Ki-67 was decreased in subcutaneous xenografts of the CENP-H-knockdown group. In summary, CENP-H may be involved in cell proliferation and apoptosis of HCC cells through the mitochondrial apoptotic pathway. Combined with previous studies, the data provide a new perspective on HCC development and progression.

Increased expression of ERCC2 gene in head and neck cancer is associated with aggressive tumors: a systematic review and case-control study

INTRODUCTION

The excision repair cross-complementation group 2 (ERCC2) ATP-dependent helicase is an essential member of the DNA repair pathway. It has been observed to be differentially expressed in different cancers, which shows its involvement in carcinogenesis.

AIM

In the present study we have tried to determine the association of expression patterns of this gene with head and neck carcinogenesis.

METHOD

We first carried out a systematic review of the available studies on the role of ERCC2 in head and neck cancer (HNC). In order to test the hypothesis that the expression patterns of XPD/ERCC2 play a critical role in HNC pathogenesis, we then conducted a population based case-control study on 81 head and neck tumor samples and adjacent normal-tissue control samples. Reverse transcriptase polymerase chain reaction (RT-PCR) and quantitative polymerase chain reaction (qPCR) were used to assess ERCC2 deregulation at the mRNA level.

RESULT

Expression analysis showed that the ERCC2 expression level was significantly upregulated (p<0.05) in HNC tissues compared with adjacent normal tissues. Furthermore, the expression pattern of ERCC2 was correlated with the expression pattern of Ki-67 and a significant correlation (r = 0.230, p<0.03) was observed between ERCC2 and Ki-67. Spearman's correlation also showed a significant correlation between ERCC2 expression and tumor stage (r = 0.271, p<0.02) and grade (r = 0.228, p<0.02) of HNC.

CONCLUSIONS

Our data suggest that deregulation of ERCC2 in HNC has the potential to predict a more aggressive cancer phenotype and may be considered a possible biomarker for improved diagnosis and prognosis of HNC.

Expression and prognostic implications of FOXO3a and Ki67 in lung adenocarcinomas

To investigate the significance of FOXO3a and Ki67 in human lung adenocarcinomas. Envision immunohistochemical staining and Western blotting were used to examine the protein expression of FOXO3a in 127 cases of human lung adenocarcinoma specimens. The positive rate in lung adenocarcinoma (55.9%) was lower than that in normal tissues (80%). We found that the expression of FOXO3a was closely related with the degree of differentiation, TNM staging, lymph node metastasis and survival. In addition, significant differences in the different pathological types of lung adenocarcinoma cases (P<0.01). The FOXO3a positive rate of the acini as the main type (APA) (86.7%) and the lepidic as the main type (LPA) (82.4%) was higher than the solid as the main type (SPA) (50.0%), the papilla as the main type (PPA) (42.9%) and the micropapilla as the main type (MPA) (9.4%). Moreover, the expression of FOXO3a was negatively related with Ki67 expression. Our results suggested that the expression of FOXO3a is closely correlated with the aggressiveness of lung adenocarcinoma. It was indicated that disregulation of FOXO3a might play key roles in the occurrence and development of lung adenocarcinoma and joint detection of the two markers might play an important role in diagnosing tumors.