Dataset Information

A kinase-interacting protein 1 may serve as a potential biomarker for deteriorative tumor features and poor prognosis in gastric cancer patients.

ABSTRACT:

Objective

This study aimed to explore the association of A kinase-interacting protein 1 (AKIP1) expression with clinicopathological characteristics and prognosis in gastric cancer patients.

Methods

Data of 260 gastric cancer patients were retrospectively reviewed. AKIP1 expression in tumor tissue and non-cancerous tissue specimens was detected by immunohistochemistry and semi-quantitatively scored according to the staining intensity and density. Moreover, the clinicopathological features were retrieved, and disease-free survival (DFS) and overall survival (OS) were calculated.

Results

A kinase-interacting protein 1 expression was increased in tumor tissues compared with non-cancerous tissues (P < .001). In terms of tumor features, tumor AKIP1 high expression correlated with elevated T stage (P < .001) and raised TNM stage (P = .042), while did not correlate with pathological grade (P > .999), tumor size (P = .060), N stage (P = .180), or tumor location (P > .999). Meanwhile, tumor AKIP1 was not associated with the non-tumor features either. Kaplan-Meier curves disclosed that AKIP1 high expression patients had shorter DFS (P = .004) and OS (P = .043) compared with AKIP1 low expression patients. Univariate Cox's regression showed that AKIP1 high expression correlated with shorter DFS (P = .005, hazard ratio [HR] = 1.635) and OS (P = .046, HR = 1.519), whereas multivariate Cox's regression displayed that AKIP1 did not independently predict worse DFS (P = .172, HR = 1.276) or shorter OS (P = .433, HR = 1.183).

Conclusion

A kinase-interacting protein 1 may serve as a potential biomarker for deteriorative tumor features and poor prognosis in gastric cancer patients.

SUBMITTER: Lin R

PROVIDER: S-EPMC7439412 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Publications

A kinase-interacting protein 1 may serve as a potential biomarker for deteriorative tumor features and poor prognosis in gastric cancer patients.

Lin Rongbo R Zhao Shen S Su Liyu L Chen Xiaohui X Xu Chunwei C He Qinliang Q Zhuo Changhua C Ye Yunbin Y

Journal of clinical laboratory analysis 20200716 8

<h4>Objective</h4>This study aimed to explore the association of A kinase-interacting protein 1 (AKIP1) expression with clinicopathological characteristics and prognosis in gastric cancer patients.<h4>Methods</h4>Data of 260 gastric cancer patients were retrospectively reviewed. AKIP1 expression in tumor tissue and non-cancerous tissue specimens was detected by immunohistochemistry and semi-quantitatively scored according to the staining intensity and density. Moreover, the clinicopathological f ...[more]

PMID: 32672362

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Project description:PurposeThe morbidity and mortality of gastric cancer (GC) remain high worldwide. In recent years, circular RNAs (circRNAs) have attracted widespread attention among cancer researchers due to the stable ring structure. The present work aims to find serum circRNA biomarkers that can be used in clinical applications and effective diagnosis.MethodsHsa_circ_0007507 was extracted through circRNA sequencing. Exonuclease digestion assay, actinomycin D, agarose gel electrophoresis (AGE), and Sanger sequencing verified the potential of hsa_circ_0007507 as a biomarker. Besides, a real-time fluorescent quantitative polymerase chain reaction (RT-qPCR) was established to detect the level of expression of hsa_circ_0007507. Twenty cases of GC and the paired adjacent tissues were collected to verify its overexpression. Then, serum samples from 30 cases of colorectal cancer, 30 cases of thyroid cancer, and 30 cases of breast cancer were collected to verify their organ specificity. Additionally, serum samples from 80 healthy people, 62 gastritis patients, 31 intestinal metaplasia patients, and 100 GC patients were collected, and the diagnostic efficacy was evaluated through analysis of the receiver operating characteristic (ROC) curve. Furthermore, 16 post-operative GC samples, samples of 65 relapsed patients and 36 non-relapsed patients were collected to evaluate the prognosis of GC.ResultsThe level of expression of hsa_circ_0007507 in GC tissues was up-regulated (p = 0.0121), which was consistent with the results of circRNA sequencing. Exonuclease digestion assay and actinomycin D confirmed that hsa_circ_0007507 had a stable structure and a longer half-life. In the analysis of organ specificity experiments, serum hsa_circ_0007507 did not have specificity for patients with colorectal cancer (p = 0.5319), thyroid cancer (p = 0.5422), or breast cancer (p = 0.5178). Analysis of diagnostic efficacy indicated that the expression of hsa_circ_0007507 was significantly higher than that of normal people (p <0.0001); the area under the ROC (AUC) was 0.832 (95% CI: 0.771-0.892); the diagnostic power of hsa_circ_0007507 was higher than that of CEA (AUC = 0.765, 95% CI: 0.697-0.833) and CA199 (AUC = 0.587, 95% CI: 0.504-0.67). Through diagnosis using a combination of the three, GC patients could be distinguished from normal people (AUC = 0.849), and higher diagnostic efficiency could be achieved. The expression of serum hsa_circ_0007507 in GC patients significantly decreased after surgery (p = 0.001). Besides, the expression of serum hsa_circ_0007507 in patients with post-operative recurrence was significantly up-regulated again (p = 0.0139).ConclusionsSerum hsa_circ_0007507 is differentially expressed in GC patients, post-operative GC patients, gastritis patients, intestinal metaplasia patients and relapsed patients, suggesting that serum hsa_circ_0007507 can be used as a new diagnostic and dynamic monitoring biomarker for GC.

Dataset Information

A kinase-interacting protein 1 may serve as a potential biomarker for deteriorative tumor features and poor prognosis in gastric cancer patients.

Objective

Methods

Results

Conclusion

Publications

A kinase-interacting protein 1 may serve as a potential biomarker for deteriorative tumor features and poor prognosis in gastric cancer patients.

Similar Datasets

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