KK-LC-1 may be an effective prognostic biomarker for gastric cancer

Abstract Background The objective of the study was to detect the expression of Kita-Kyushu lung cancer antigen-1 (KK-LC-1) in gastric cancer (GC) specimens and analyse the associations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis. Methods All of the 94 patients in this study were GC patients who underwent surgical resection. KK-LC-1 protein expression in GC tissue was detected by immunohistochemistry. This report applies the histological score (H-score) to evaluate KK-LC-1 expression. To calculate this indicator, the number of positive cells in each section and their staining intensity were converted to corresponding values. The expression of KK-LC-1 in the cytoplasm of cancer and normal tissues was scored to obtain their respective H values. The chi-square test, Kaplan-Meier method and Cox regression were used to analyse the linear association between KK-LC-1 expression and clinicopathological data and prognosis. Results In the cytoplasm, KK-LC-1 expression in tumour tissues was significantly higher than that in normal tissues (P < 0.001). Using the median H-score as the cut-off value, we discovered that GC patients with high levels of KK-LC-1 expression in the cytoplasm had favourable overall survival (OS) (P = 0.016), and this result was statistically significant in the Cox regression analysis. Additionally, a negative correlation was found between KK-LC-1 protein expression and the pathological grade of the tumour (P = 0.036), with significantly more KK-LC-1 protein expression observed in the intestinal type of GC than in the diffuse type (P = 0.008). Conclusions Our research data showed that KK-LC-1 expression was greater in GC tissues than in normal tissues, and higher KK-LC-1 expression was associated with longer OS of GC patients. KK-LC-1 can be used as a biomarker for a good prognosis in GC patients.

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KK-LC-1 may be an effective prognostic biomarker for gastric cancer

10.21203/rs.3.rs-50773/v2 ◽

2020 ◽

Author(s):

Jun Ji ◽

Jiahui Chen ◽

Anqiang Wang ◽

Wei Zhang ◽

Hongge Ju ◽

...

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Cox Regression ◽

Staining Intensity ◽

Good Prognosis ◽

Clinicopathological Parameters ◽

Chi Square ◽

Clinical Prognosis ◽

Cox Regression Analysis ◽

Normal Tissues

Abstract Background: To detect the expression of Kita-Kyushu lung cancer antigen-1 (KK-LC-1) in gastric cancer (GC) specimens and analyze the associations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis. Methods: A total of 94 patients with GC who underwent surgical resection were enrolled in this study. The expression of KK-LC-1 in GC tissues was detected by immunohistochemistry. The assessment of KK-LC-1 expression was conducted using the H-scoring system. H-score was calculated by the multiplication of the overall staining intensity with the percentage of positive cells. The expression of KK-LC-1 in the cytoplasm and was scored to achieve respective H-score values. The correlations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis were analyzed using Chi-square test, Kaplan-Meier method and Cox regression. Results: In the cytoplasm, the expression of KK-LC-1 in tumor tissues was significantly higher than that in normal tissues (P < 0.001, respectively). Using the median H-score as the cutoff value, it was discovered that, GC patients with higher levels of KK-LC-1expression in the cytoplasm, had favorable overall survival (P =0.016), and it was still statistically meaningful in Cox regression analysis. At the same time, the study found that there was a negative correlation between KK-LC-1’s protein expression and the pathological grade of the tumor (P = 0.036). Conclusions: Our research data shows that KK-LC-1’s expression in GC is higher than that of normal tissues, which is associated with a longer overall survival in GC. KK-LC-1 can be used as a biomarker for GC patients with good prognosis.

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KK-LC-1 may be an effective prognostic biomarker for gastric cancer

10.21203/rs.3.rs-50773/v3 ◽

2021 ◽

Author(s):

Jun Ji ◽

Jiahui Chen ◽

Anqiang Wang ◽

Wei Zhang ◽

Hongge Ju ◽

...

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Cox Regression ◽

Staining Intensity ◽

Intestinal Type ◽

Clinicopathological Parameters ◽

Diffuse Type ◽

Clinical Prognosis ◽

Cox Regression Analysis ◽

Normal Tissues

Abstract Background: To detect the expression of Kita-Kyushu lung cancer antigen-1 (KK-LC-1) in gastric cancer (GC) specimens and analyze the associations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis. Methods : A total of 94 patients with GC who underwent surgical resection were enrolled in this study. The expression of KK-LC-1 in GC tissues was detected by immunohistochemistry. The assessment of KK-LC-1 expression was conducted using the H-scoring system. H-score was calculated by the multiplication of the overall staining intensity with the percentage of positive cells. The expression of KK-LC-1 in the cytoplasm and was scored to achieve respective H-score values. The correlations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis were analyzed using Chi-square test, Kaplan-Meier method and Cox regression. Results: In the cytoplasm, the expression of KK-LC-1 in tumor tissues was significantly higher than that in normal tissues (P < 0.001, respectively). Using the median H-score as the cutoff value, it was discovered that, GC patients with higher levels of KK-LC-1expression in the cytoplasm, had favorable overall survival (P =0.016), and it was still statistically meaningful in Cox regression analysis. At the same time, the study found that there was a negative correlation between KK-LC-1’s protein expression and the pathological grade of the tumor (P = 0.036); KK-LC-1 protein is more highly expressed in the intestinal type than the diffuse type, and it is statistically significant. The high expression of KK-LC-1 protein in the intestinal type is more than that in the diffuse type (P =0.008). Conclusions: Our research data shows that KK-LC-1’s expression in GC is higher than that of normal tissues, which is associated with a longer overall survival in GC. KK-LC-1 can be used as a biomarker for GC patients with good prognosis.

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KK-LC-1 May Be An Effective Prognostic Biomarker for Gastric Cancer

10.21203/rs.3.rs-50773/v1 ◽

2020 ◽

Author(s):

Jun Ji ◽

Jiahui Chen ◽

Anqiang Wang ◽

Yang Liu ◽

Leping Li

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Protein Expression ◽

Cox Regression ◽

Statistical Significance ◽

Good Prognosis ◽

Chi Square ◽

S Protein ◽

Cox Regression Analysis ◽

Linear Association

Abstract Background: To detect the protein expression of Kitakyushu lung cancer antigen 1 (KK-LC-1) in gastric cancer (GC) specimens, and to analyze the linear association of KK-LC-1 protein expression with clinical pathological data and prognosis.Methods: A total of 94 patients in this study were all GC patients with surgical resection. KK-LC-1’s protein expression in GC tissue was detected by immunohistochemistry. This report applies Histological score (H-score) to evaluate KK-LC-1’s expression. Chi-square test, Kaplan-Meier method and Cox regression were used to analyze the linear association between KK-LC-1 expression and clinicopathological data and prognosis.Results: KK-LC-1’s protein expression in the cytoplasm of tumor tissue was found to be significantly higher than that in normal tissue (P <0.001). If we apply the median value of H-value as the cut-off point, it suggests that overall survival for GC patients with high KK-LC-1 expression levels in the cytoplasm was good (P = 0.016), and still had statistical significance after Cox regression analysis. At the same time, the study found that there was a negative correlation between KK-LC-1’s protein expression and the pathological grade of the tumor (P = 0.036).Conclusions: Our research data shows that KK-LC-1’s expression in GC is higher than that of normal tissues, which is associated with a longer overall survival in GC. KK-LC-1 can be used as a biomarker for GC patients with good prognosis.

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Expression and Clinical Significance of ILF2 in Gastric Cancer

Disease Markers ◽

10.1155/2017/4387081 ◽

2017 ◽

Vol 2017 ◽

pp. 1-9 ◽

Cited By ~ 6

Author(s):

Zi-huan Yin ◽

Xing-wang Jiang ◽

Wu-bing Shi ◽

Qian-le Gui ◽

Dong-feng Yu

Keyword(s):

Gastric Cancer ◽

Protein Expression ◽

Clinical Significance ◽

Disease Free Survival ◽

High Expression ◽

Clinicopathological Parameters ◽

Rank Test ◽

Depth Of Invasion ◽

Clinical Prognosis ◽

Expression Levels

The aim of this study is to investigate the expression levels and clinical significance of ILF2 in gastric cancer. The mRNA and protein expression levels of ILF2 were, respectively, examined by quantitative real-time PCR (qRT-PCR) and Western blot from 21 paired fresh frozen GC tissues and corresponding normal gastric tissues. In order to analyze the expression pattern of ILF2 in GC, 60 paired paraffin-embedded GC slides and corresponding normal gastric slides were detected by immunohistochemistry (IHC) assay. The correlation between ILF2 protein expression levels and clinicopathological parameters, overall survival (OS), disease-free survival (DFS), and clinical prognosis were analyzed by statistical methods. Significantly higher levels of ILF2 were detected in GC tissues compared with normal controls at both mRNA and protein level. High expression of ILF2 was tightly correlated with depth of invasion, lymph node metastasis, pathological stage, and histological differentiation. Log-rank test showed that high expression of ILF2 was positively associated with poor clinical prognosis. Multivariate analysis identified that ILF2 was an independent prognostic factor for OS and DFS. Our findings suggest that ILF2 may be a valuable biomarker and a novel potential prognosis predictor for GC patients.

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Suppression of p53-inducible gene 3 is significant for glioblastoma progression and predicts poor patient prognosis

Tumor Biology ◽

10.1177/1010428317694572 ◽

2017 ◽

Vol 39 (3) ◽

pp. 101042831769457 ◽

Cited By ~ 4

Author(s):

Jishu Quan ◽

Yong Li ◽

Meihua Jin ◽

Dunfu Chen ◽

Xuezhe Yin ◽

...

Keyword(s):

Cox Regression ◽

Good Prognosis ◽

World Health ◽

Loss Of Function ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Health Organization ◽

Proliferation And Invasion ◽

Inducible Gene

Glioblastoma is the most malignant and invasive brain tumor with extremely poor prognosis. p53-inducible gene 3, a downstream molecule of the tumor suppressor p53, has been found involved in apoptosis and oxidative stress response. However, the functions of p53-inducible gene 3(PIG3) in cancer are far from clear including glioblastoma. In this study, we found that p53-inducible gene 3 expression was suppressed in glioblastoma tissues compared with normal tissues. And the expression of p53-inducible gene 3 was significantly associated with the World Health Organization grade. Patients with high p53-inducible gene 3 expression have a significantly longer median survival time (15 months) than those with low p53-inducible gene 3 expression (8 months). According to Cox regression analysis, p53-inducible gene 3 was an independent prognostic factor with multivariate hazard ratio of 0.578 (95% confidence interval, 0.352–0.947; p = 0.030) for overall survival. Additionally, gain and loss of function experiments showed that knockdown of p53-inducible gene 3 significantly increased the proliferation and invasion ability of glioblastoma cells while overexpression of p53-inducible gene 3 inhibited the proliferation and invasion ability. The results of in vivo glioblastoma models further confirmed that p53-inducible gene 3 suppression promoted glioblastoma progression. Altogether, our data suggest that high expression of p53-inducible gene 3 is significant for glioblastoma inhibition and p53-inducible gene 3 independently indicates good prognosis in patients, which might be a novel prognostic biomarker or potential therapeutic target in glioblastoma.

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Transcription Elongation Factor A-like 7 is a Stemness-Related Prognostic Factor in Gastric Cancer

10.21203/rs.3.rs-415488/v1 ◽

2021 ◽

Author(s):

Haisheng Qian ◽

Xin Gao ◽

Rui Ma ◽

Wenjie Li ◽

Zhen Yang ◽

...

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Regression Analysis ◽

Cox Regression ◽

Learning Algorithm ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Significant Difference ◽

Selection Operator ◽

Level Group

Abstract Background: Stemness is described as the potential for self-renewal and differentiation from the cell-of-origin. A previous study calculated the mRNA expression-based stemness index (mRNAsi) based on a one-class logistic regression machine learning algorithm for describing stemness features of cancer. We aim to identify stemness-related prognostic genes in gastric cancer (GC) based on mRNAsi using bioinformatics analysis.Methods: The WGCNA analysis was performed to find the relevant gene modules to mRNAsi. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways annotation analysis were performed on genes in blue module. The overall survival analysis, univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) regression model were used to identify prognostic genes highly associated with survival. The multivariate Cox regression analysis was performed to analysis prognostic factors. The nomogram was constructed according to the result of multivariate analysis. qPCR, Western Blot and IHC staining were appliedResults: The mRNAsi of tumors is higher than normal tissues, and there was a significant difference in overall survival (OS) between the high and low mRNAsi GC groups. TCEAL7 was selected to be the key gene associated with mRNAsi and prognosis according to the result of least absolute shrinkage and selection operator (LASSO) Cox regression. The expression level of TCEAL7 was lower in tumors than in normal tissues, but high TCEAL7 level group showed a worse OS than low TCEAL7 level group in GC. Based on the result of multivariable Cox regression analysis which including TCEAL7 and clinical characteristics, a nomogram for predicting GC 1-, 3-, and 5-year survival was established. The C-index and the AUC (Area Under Curve) of the model indicated that the model has a good discrimination ability. Additionally, the calibration curves of 3- and 5-year OS rates showed the model fits well. The experimental validation of the expression of TCEAL7 in GC and normal tissues were consistent with the above.Conclusions: In summary, we verified mRNAsi was associated with the prognosis of GC patients. And TCEAL7 was finally identified as the key gene correlated with stemness features and prognosis in GC.

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Significance of Tumor Mutation Burden Combined With Immune Infiltrates in the Progression and Prognosis of Advanced Gastric Cancer

Frontiers in Genetics ◽

10.3389/fgene.2021.642608 ◽

2021 ◽

Vol 12 ◽

Author(s):

Xiong Guo ◽

Xiaolong Liang ◽

Yujun Wang ◽

Anqi Cheng ◽

Han Zhang ◽

...

Keyword(s):

Gastric Cancer ◽

Advanced Gastric Cancer ◽

Visual Analysis ◽

Risk Model ◽

Cox Regression ◽

Expression Patterns ◽

Clinicopathological Parameters ◽

Tumor Mutation Burden ◽

Cox Regression Analysis ◽

Mutation Burden

Gastric cancer (GC) is a serious malignant tumor with high mortality and poor prognosis. The prognosis and survival are much worse for advanced gastric cancer (AGC). Recently, immunotherapy has been widely promoted for AGC patients, and studies have shown that tumor mutation burden (TMB) is closely related to immunotherapy response. Here, RNA-seq data, matched clinical information, and MAF files were downloaded from the cancer genome atlas (TCGA)-STAD project in the TCGA database. The collation and visual analysis of mutation data were implemented by the “maftools” package in R. We calculated the TMB values for AGC patients and divided the patients into high- and low-TMB groups according to the median value of TMB. Then, the correlation between high or low TMB and clinicopathological parameters was calculated. Next, we examined the differences in gene expression patterns between the two groups by using the “limma” R package and identified the immune-related genes among the DEGs. Through univariate Cox regression analysis, 15 genes related to prognosis were obtained. Furthermore, the two hub genes (APOD and SLC22A17) were used to construct a risk model to evaluate the prognosis of AGC patients. ROC and survival curves and GEO data were used as a validation set to verify the reliability of this risk model. In addition, the correlation between TMB and tumor-infiltrating immune cells was examined. In conclusion, our results suggest that AGC patients with high TMB have a better prognosis. By testing the patient’s TMB, we could better guide immunotherapy and understand patient response to immunotherapy.

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The expression of HOXA9 and its prognostic value in cervical cancer

10.21203/rs.3.rs-54158/v1 ◽

2020 ◽

Author(s):

Keqian Zhang ◽

Tianqi Mao ◽

Zhicheng He ◽

Xiaojiao Wu ◽

Yu Peng ◽

...

Keyword(s):

Cervical Cancer ◽

Prognostic Value ◽

Cox Regression ◽

Figo Stage ◽

Rank Test ◽

Chi Square ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Kaplan Meier ◽

Chi Square Test

Abstract Background The HOXA9 gene, belonging to homeobox (HOX) gene family, has been recently reported dys-expressed in several kinds of human cancers. This study aimed to investigate the expression of HOXA9 and its prognostic value in cervical cancer. Methods The HOXA9 mRNA expression was detected with a quantitative real-time polymerase chain reaction (qRT-PCR) assay, and the association of HOXA9 expression with clinical characteristic was analyzed via chi-square test. Kaplan-Meier and cox regression analyses were conducted to estimate the prognostic value of HOXA9 in cervical cancer. Results HOXA9 expression was significantly down-expressed in cervical cancer tissues compared with that in adjacent normal tissues (P < 0.01). And the expression of HOXA9 was significantly associated with TNM stage, pathological grade, FIGO stage and differentiation (All P < 0.05). In addition, Kaplan–Meier analysis indicated that the overall survival of patients with low HOXA9 expression was shorter than those with high HOXA9 expression (log rank test, P = 0.000). Cox regression analysis revealed that HOXA9 had a high prognostic value in cervical cancer. Conclusion HOXA9 is down-regulated and involved in the development of cervical cancer. Moreover, it may be an useful independent prognostic bio-marker for patients with cervical cancer.

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Rab25 Acts as a Promising Novel Bio-Marker in the Prognosis of Patients with Hepatocellular Carcinoma

10.21203/rs.3.rs-43510/v1 ◽

2020 ◽

Author(s):

Zhong Dai ◽

Ke-Qing Yao ◽

Xing-Sheng Hu ◽

Yi-Qun Li ◽

Yu-Tao Liu ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Prognostic Value ◽

Cox Regression ◽

Rank Test ◽

Chi Square ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Kaplan Meier ◽

Chi Square Test ◽

The Relationship

Abstract Background: Rab25 was indicated to be involved in several human tumors. However, the clinical significance of Rab25 in hepatocellular carcinoma (HCC) was still unclear. The purpose of this study was to investigate the expression and prognostic value of Rab25 in HCC.Methods: The relative mRNA expression levels of Rab25 in HCC tissues and adjacent normal tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was used to analyze the relationship between Rab25 expression and clinical characteristics of patients. The prognostic value of Rab25 in HCC was estimated through Kaplan-Meier method and cox regression analysis.Results: Rab25 gene expression level was significantly higher in HCC tissues than that in normal tissues (P<0.001). Importantly, the increased Rab25 expression was closely associated with TNM stage (P=0.024), metastasis (P=0.022) and invasion classification (P=0.039). Moreover, patients with high Rab25 expression tended to have obviously shorter overall survival than those with low expression of Rab25 (log rank test, P<0.001) via Kaplan-Meier analysis. Univariate and multivariate cox regression analyses revealed that Rab25 was an independent prognostic factor of HCC.Conclusions: Rab25 is up-regulated in HCC and contributes to the progression of this tumor. What’s more, Rab25 may be a potential bio-marker for the prognosis of HCC.

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Oestrogen-regulated protein SLC39A6: a biomarker of good prognosis in luminal breast cancer

Breast Cancer Research and Treatment ◽

10.1007/s10549-021-06336-y ◽

2021 ◽

Author(s):

Maryam Althobiti ◽

Khloud A. El-sharawy ◽

Chitra Joseph ◽

Mohammed Aleskandarany ◽

Michael S. Toss ◽

...

Keyword(s):

Breast Cancer ◽

Protein Expression ◽

Early Stage ◽

Prognostic Significance ◽

Tissue Microarrays ◽

Good Prognosis ◽

Clinicopathological Parameters ◽

Luminal Breast Cancer ◽

Mrna Levels ◽

Chi Square

Abstract Purpose The outcome of the luminal oestrogen receptor-positive (ER +) subtype of breast cancer (BC) is highly variable and patient stratification needs to be refined. We assessed the prognostic significance of oestrogen-regulated solute carrier family 39 member 6 (SLC39A6) in BC, with emphasis on ER + tumours. Materials and methods SLC39A6 mRNA expression and copy number alterations were assessed using the METABRIC cohort (n = 1980). SLC39A6 protein expression was evaluated in a large (n = 670) and annotated series of early-stage (I–III) operable BC using tissue microarrays and immunohistochemistry. The associations between SLC39A6 expression and clinicopathological parameters, patient outcomes and other ER-related markers were evaluated using Chi-square tests and Kaplan–Meier curves. Results High SLC39A6 mRNA and protein expression was associated with features characteristic of less aggressive tumours in the entire BC cohort and ER + subgroup. SLC39A6 protein expression was detected in the cytoplasm and nuclei of the tumour cells. High SLC39A6 nuclear expression and mRNA levels were positively associated with ER + tumours and expression of ER-related markers, including the progesterone receptor, forkhead box protein A1 and GATA binding protein 3. In the ER + luminal BC, high SLC39A6 expression was independently associated with longer BC-specific survival (BCSS) (P = 0.015, HR 0.678, 95% CI 0.472‒0.972) even in those who did not receive endocrine therapy (P = 0.001, HR 0.701, 95% CI 0.463‒1.062). Conclusion SLC39A6 may be prognostic for a better outcome in ER + luminal BC. Further functional studies to investigate the role of SLC39A6 in ER + luminal BC are warranted.

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