Upregulation of AKIP1 contributes to metastasis and progression and predicts poor prognosis of patients with colorectal cancer

The role of A-kinase interacting protein 1 in regulating progression and stemness as well as indicating the prognosis in glioblastoma

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AKIP1 was higher in GBM vs. LGG tissues, and in GBM cell lines vs. control cell line.

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AKIP1 promoted GBM cell invasion, CD133+ proportion, and sphere formation ability.

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PI3K/AKT, Notch, EGFR, Ras, ErbB, mTOR pathways linked with AKIP1’s function in GBM.

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AKIP1 correlated with poor prognosis in GBM patients.

Background

A-kinase interacting protein 1 (AKIP1) is recently implicated in the pathogenesis of several solid tumors, while its role in glioblastoma multiforme (GBM) is largely unknown. Therefore, the current study aimed to investigate the effect of AKIP1 on GBM cell malignant behaviors, stemness, and its underlying molecular mechanisms.

Methods

U-87 MG and A172 cells were transfected with control or AKIP1 overexpression plasmid; control or AKIP1 siRNA plasmid. Then cell proliferation, apoptosis, invasion, CD133⁺ cell proportion, and sphere formation assays were performed. Furthermore, RNA-Seq was performed in U-87 MG cells. Besides, AKIP1 expression was detected in 25 GBM and 25 low-grade glioma (LGG) tumor samples.

Results

AKIP1 was increased in several GBM cell lines compared to the control cell line. After transfections, it was found that AKIP1 overexpression increased cell invasion, CD133⁺ cell proportion, and sphere formation ability while less affecting cell proliferation or cell apoptosis in U-87 MG and A172 cells. Moreover, AKIP1 siRNA achieved the opposite effect in these cells, except that it inhibited cell proliferation but induced cell apoptosis to some extent. Subsequent RNA-Seq assay showed several critical carcinogenetic pathways, such as PI3K/AKT, Notch, EGFR tyrosine kinase inhibitor resistance, Ras, ErbB, mTOR pathways, etc. were potentially related to the function of AKIP1 in U-87 MG cells. Clinically, AKIP1 expression was higher in GBM tissues than in LGG tissues, which was also correlated with the poor prognosis of GBM to some degree.

Conclusions

AKIP1 regulates the malignant behaviors and stemness of GBM via regulating multiple carcinogenetic pathways.

A‑kinase interacting protein 1 regulates the cell proliferation, invasion, migration and angiogenesis of clear cell renal cell carcinoma cells and affects the ERK/c‑Myc signaling pathway by binding to Rac1

A-kinase interacting protein 1 (AKIP1) has previously been demonstrated to be overexpressed in clear cell renal cell carcinoma (ccRCC) tissues and is associated with patient prognosis. The aim of the present study was to explore whether AKIP1 can affect the proliferation, invasion, migration and angiogenesis of ccRCC cells via its interaction with Rac1. Furthermore, the influence of AKIP1 and therefore Rac1 on the expression of the downstream ERK/cellular (c)-Myc signaling pathway was explored. The interaction between AKIP1 and Rac1 was determined using co-immunoprecipitation. The mRNA and protein expression levels of AKIP1 and Rac1 in normal renal epithelial cell lines and ccRCC cell lines were detected using reverse transcription-quantitative PCR (RT-qPCR) and western blotting, respectively. The transfection efficiency of small interfering RNA-AKIP1 and the Rac1 overexpression vector were also confirmed using RT-qPCR and western blotting. The viability, proliferation, invasion and migration of ccRCC cells following transfection were analyzed using the Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine staining, Transwell and wound healing assays, respectively. The tube formation ability of HUVECs was assessed using the tube formation assay. The protein expression levels of proliferation, invasion, migration and tube-formation-associated proteins as well as proteins associated with the ERK/c-Myc signaling pathway, were detected via western blotting. The results demonstrated that AKIP1 expression levels were increased in ccRCC cell lines. AKIP1 knockdown inhibited the proliferation, invasion and migration of ccRCC cells and HUVEC tube-formation. In addition, AKIP1 was demonstrated to bind to Rac1 in ccRCC cells and AKIP1 downregulation inhibited Rac1 expression. Furthermore, Rac1 overexpression reversed the effects of AKIP1 knockdown on ccRCC cells. AKIP1 knockdown also suppressed the ERK/c-Myc signaling pathway, which was reversed by Rac1 overexpression. In conclusion, AKIP1 knockdown potentially suppressed the proliferation, invasion, migration and angiogenesis of ccRCC cells and inhibited the ERK/c-Myc signaling pathway by binding to Rac1.

Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population

BACKGROUND

Cumulative evidence suggests that A-kinase interacting protein 1 (AKIP1) plays an important role in tumor progression. However, the prognostic value of AKIP1 expression in various cancers remains unclear. Here, we conducted a meta-analysis to evaluate the prognostic value of AKIP1 expression in patients with cancer.

METHODS

The PubMed, Web of Science, EMBASE, CNKI, and Wanfang databases were systematically searched to identify studies in which the effect of AKIP1 expression on prognosis (overall survival or disease-free survival) was investigated. Hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the effect of AKIP1 expression on patient survival. Odds ratios (ORs) with 95% CIs were pooled to estimate the association between AKIP1 expression and clinicopathological characteristics of patients with cancer.

RESULTS

Nineteen eligible studies, encompassing 3979 patients, were included in the meta-analysis. AKIP1 expression was negatively associated with overall survival (HR = 1.86, 95% CI: 1.58-2.18, P < .001) and disease-free survival (HR = 1.69, 95% CI: 1.53-1.87, P < .001) in patients with cancer. Moreover, AKIP1 overexpression was positively correlated with adverse clinicopathological features, such as tumor size (OR = 2.22, 95% CI: 1.67-2.94, P < .001), clinical stage (OR = 2.05, 95% CI: 1.45-2.90, P < .001), depth of tumor invasion (OR = 2.98, 95% CI: 2.21-4.02, P < .001), and degree of lymph node metastasis (OR = 2.12, 95% CI: 1.75-2.57, P < .001).

CONCLUSIONS

High AKIP1 expression is an unfavorable prognostic biomarker and may serve as a potential therapeutic target in patients with cancer.

Elevated AKIP1 expression is associated with tumor invasion, shorter survival time and decreased chemosensitivity in endometrial carcinoma

A-kinase-interacting protein 1 (AKIP1), as a recently discovered oncoprotein, promotes cell malignant behaviors in gynecological malignancies. To the best of our knowledge, no study reports its clinical value in patients with endometrial carcinoma. The present study aimed to explore the association between AKIP1 expression and clinical features and survival in patients with endometrial carcinoma, and to assess the effect of AKIP1 knockdown on the regulation of chemosensitivity in vitro. The tumor and adjacent tissue specimens from 101 patients with endometrial carcinoma were retrieved for AKIP1 protein expression analysis using an immunohistochemistry (IHC) assay. Meanwhile, specimens from 54 patients with endometrial carcinoma were analyzed for AKIP1 mRNA expression using reverse transcription-quantitative PCR. Furthermore, an in vitro experiment was conducted in the Ishikawa cell line to determine the effect of AKIP1 modification on the chemosensitivity of cisplatin and paclitaxel. AKIP1 IHC score (P<0.001) and mRNA expression levels (P<0.001) were increased in tumor tissues compared with those in adjacent tissues. Moreover, increased AKIP1 IHC score was associated with lymphovascular invasion (P=0.007), advanced International Federation of Gynecology and Obstetrics (FIGO) stage (P=0.002) and shorter overall survival (OS) time (P=0.035) in the patients with endometrial carcinoma. Meanwhile, upregulated AKIP1 mRNA expression levels were associated with lymphovascular invasion (P=0.020) and advanced FIGO stage (P=0.027) in the patients with endometrial carcinoma. Multivariate Cox regression showed that tumor AKIP1 protein expression (high vs. low) independently predicted a shorter OS time (P=0.036). Silencing of AKIP1 decreased Ishikawa cell viability when treated with 5, 10, 20 and 40 µM cisplatin (all P<0.05) and decreased the half maximal inhibitory concentration value of cisplatin (P=0.003), whereas its effect on paclitaxel chemosensitivity was less obvious. Overall, elevated AKIP1 expression was associated with tumor invasion, shorter survival time and decreased chemosensitivity in endometrial carcinoma.

Identification and Validation of Key Genes of Differential Correlations in Gastric Cancer

Background: Gastric cancer (GC) is aggressive cancer with a poor prognosis. Previously bulk transcriptome analysis was utilized to identify key genes correlated with the development, progression and prognosis of GC. However, due to the complexity of the genetic mutations, there is still an urgent need to recognize core genes in the regulatory network of GC.

Methods: Gene expression profiles (GSE66229) were retrieved from the GEO database. Weighted correlation network analysis (WGCNA) was employed to identify gene modules mostly correlated with GC carcinogenesis. R package ‘DiffCorr’ was applied to identify differentially correlated gene pairs in tumor and normal tissues. Cytoscape was adopted to construct and visualize the gene regulatory network.

Results: A total of 15 modules were detected in WGCNA analysis, among which three modules were significantly correlated with GC. Then genes in these modules were analyzed separately by “DiffCorr”. Multiple differentially correlated gene pairs were recognized and the network was visualized by the software Cytoscape. Moreover, GEMIN5 and PFDN2, which were rarely discussed in GC, were identified as key genes in the regulatory network and the differential expression was validated by real-time qPCR, WB and IHC in cell lines and GC patient tissues.

Conclusions: Our research has shed light on the carcinogenesis mechanism by revealing differentially correlated gene pairs during transition from normal to tumor. We believe the application of this network-based algorithm holds great potential in inferring relationships and detecting candidate biomarkers.

AKIP1 promotes tumor progression by cancer-related pathways and predicts prognosis in tongue squamous cell carcinoma

The current study was designed to explore the effect of A-kinase-interacting protein 1 (AKIP1) on tongue squamous cell carcinoma (TSCC) viability and mobility and to investigate its molecular mechanism. Control overexpression (OE-NC group) and AKIP1 overexpression (OE-AKIP1 group) plasmids were transfected into CAL-27 cells; control knockdown (KD-NC group) and AKIP1 knockdown (KD-AKIP1 group) plasmids were transfected into SCC-9 cells. Cellular viability and mobility were determined, and mRNA sequencing was performed followed by RT-qPCR validation. Immunohistochemistry was utilized to detect AKIP1 expression in tumor and adjacent tissues from 90 TSCC patients. AKIP1 was more highly expressed in human TSCC cell lines compared to human normal lingual epithelial cells. Cell proliferation, migration, and invasion were increased in the OE-AKIP1 group compared to the OE-NC group but decreased in the KD-AKIP1 group compared to the KD-NC group. mRNA sequencing revealed 436 differentially expressed genes; most of the genes were mainly enriched in the mTOR, PI3K-Akt, MAPK, Hippo, and Wnt signaling pathways. These findings were subsequently confirmed by RT-qPCR quantification. In TSCC patients, AKIP1 expression was increased in tumor tissues and related to increased tumor size, lymph node metastasis and poor overall survival. AKIP1 is a therapeutic target that regulates multiple tumor-related pathways in TSCC.

Relevance of plasma bone marrow Activin-A and CXCL-12 concentration levels as a biomarker in acute myeloid leukemia

BACKGROUND

Acute myeloid leukemia changes the bone marrow (BM) niche to support leukemia cells by modulating the stromal microenvironment. The aim is to assess Activin-A as a biomarker in acute myeloid leukemia (AML).

METHODS

The level of Activin-A and CXCL-12 protein concentration levels in the plasma of bone marrow aspirate samples of eighty AML patients at diagnosis, after induction and at relapse were determined by ELISA.

RESULTS

We found that Activin-A concentration levels was significantly up regulated in AML cases at diagnosis, and down regulated at complete remission and rise again at relapse (P< 0.001). In contrast; the CXCL-12 gene expression was significantly down regulated in AML cases at diagnosis; relapse, and up regulated after complete remission (P< 0.001). Multivariate analysis showed that high Activin-A levels at diagnosis is significant predictor of induction of remission response OR 1.006 (CI: 1.002-1.010) (P= 0.003); AML relapse OR 1.002 (CI: 1.0-1.004) (P= 0.043) as well as patients' outcome OR 1.33 (CI: 1.004-1.062) (P= 0.024).

CONCLUSION

Activin-A level at diagnosis is a new simple easily assessed biomarker that could predict AML patient's response to therapy as well as patient's outcome.

Upregulation of a kinase interacting protein 1 in tongue squamous cell carcinoma correlates with lymph node metastasis and poor overall survival

A kinase interacting protein 1 (AKIP1) is upregulated in cancer cells/tissues and associated with deteriorative tumor features, while it has not been investigated in tongue squamous cell carcinoma (TSCC). The goal of this study was to measure AKIP1 expression and analyze its correlation with clinical feature and prognosis in TSCC patients.We retrospectively reviewed 194 TSCC patients, whose formalin fixed paraffin-embedded (FFPE) tumor tissue specimens and paired adjacent tissue specimens were accessible for AKIP1 detection by immunohistochemistry (IHC). Whereas only 107 patients whose fresh-frozen tumor tissue and paired fresh-frozen adjacent tissue that were still available in storage were included for AKIP1 mRNA detection by real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR).AKIP1 expression (both the protein detected by IHC and mRNA detected by RT-qPCR) was higher in TSCC tissue than that in adjacent tissue. In addition, both tumor AKIP1 mRNA and protein expressions were correlated with advanced N stage and TNM stage, while they were not correlated with other clinical features in TSCC patients. As for survival, there was a correlation of AKIP1 mRNA with poor overall survival (OS), while the correlation of AKIP1 protein expression with OS was of limited statistical significance.There is an upregulation of AKIP1 in TSCC and it correlates with lymph node metastasis as well as unfavorable prognosis in TSCC patients.

A-kinase interacting protein 1 is sufficiently expressed and positively associates with WHO grade, meanwhile predicts unfavorable overall survival independently in glioma patients

The present study aimed to investigate the association of A-kinase interacting protein 1 (AKIP1) with clinical characteristics, and further explore the prognostic value of AKIP1 in glioma patients.Totally 168 glioma patients who underwent tumor resection were analyzed, and their tumor tissue specimens were acquired for the detection of AKIP1 expression by immunohistochemistry (IHC), which was scored by a semi-quantitative method considering staining intensity and staining density.According to AKIP1 expression in tumor tissues of glioma patients, there were 65 (38.7%) patients with AKIP1 low expression (IHC score 0-3), 48 (28.6%) patients with AKIP1 high + expression (IHC score 4-6), 42 (25.0%) patients with AKIP1 high++ expression (IHC score 7-9) and 13 (7.7%) patients with AKIP1 high+++ expression (IHC score 10-12), respectively. AKIP1 expression was positively associated with World Health Organization grade. Overall survival (OS) was the lowest in the patients with AKIP1 high+++ expression, followed by those with AKIP1 high++ expression and those with AKIP1 high+ expression, and highest in those with AKIP1 low expression. Further subgroup analysis exhibited that AKIP1 expression was negatively associated with OS especially in high-grade glioma patients. In addition, AKIP1 expression was negatively associated with OS in all subgroups of patients with/without adjuvant radiotherapy, with/without adjuvant chemotherapy. Further multivariate Cox's regression exhibited that AKIP1 high expression was an independent predictive factor for worse OS.AKIP1 presents with the potential to be a novel biomarker for tumor management and prognosis surveillance in glioma patients.

Correlation of A-Kinase Interacting Protein 1 With Clinical Features, Treatment Response, and Survival Profiles in Patients With Multiple Myeloma

Objective:

The present study aimed to detect A-kinase interacting protein 1 expression and further explore the association of A-kinase interacting protein 1 with clinical features and prognosis in patients with multiple myeloma.

Methods:

Totally, 152 de novo symptomatic patients with multiple myeloma and 30 healthy donors were enrolled. Bone marrow mononuclear cells derived plasma cells were collected from patients with multiple myeloma before initial treatment and from healthy donors on the enrollment, respectively, and then A-kinase interacting protein 1 protein/messenger RNA expressions were detected by Western blot and reverse transcription quantitative polymerase chain reaction. Treatment response (complete response and overall response rate) was assessed, and survival profiles (progression-free survival and overall survival) were calculated in patients with multiple myeloma.

Results:

A-kinase interacting protein 1 protein/messenger RNA expressions were elevated in patients with multiple myeloma compared to healthy donors, and A-kinase interacting protein 1 (area under the curve: 0.809, 95% confidence interval: 0.726-0.891)/messenger RNA (area under the curve: 0.839, 95% confidence interval: 0.764-0.914) presented good value in differentiating patients with multiple myeloma from healthy donors. In patients with multiple myeloma, A-kinase interacting protein 1 /messenger RNA expressions negatively correlated with albumin while positively correlated with Beta-2-microglobulin, lactate dehydrogenase, International Staging System stage, and t (4;14). Meanwhile, there were 39 (25.7%) complete response patients, 113 (74.3%) noncomplete response patients, 112 (73.7%) overall response rate patients, and 40 (26.3%) nonoverall response rate patients. Complete response and overall response rates were decreased in patients with high A-kinase interacting protein 1 compared to patients with low A-kinase interacting protein 1. Additionally, progression-free survival and overall survival were reduced in patients with high A-kinase interacting protein 1 compared to patients with low A-kinase interacting protein 1.

Conclusion:

A-kinase interacting protein 1 exhibits the potency as a biomarker for multiple myeloma progression and prognosis, which implies the clinical application of A-kinase interacting protein 1 in multiple myeloma management.

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

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.

A-kinase interacting protein 1 as a potential biomarker of advanced tumor features and increased recurrence risk in papillary thyroid carcinoma patients

BACKGROUND

This study aimed to detect the expression of A-kinase interacting protein 1 (AKIP1) and explore its correlation with clinicopathological features and clinical outcomes in papillary thyroid carcinoma (PTC) patients.

METHODS

A total of 245 PTC patients treated by lobectomy or thyroidectomy were analyzed in this retrospective study. AKIP1 expression in tumor and adjacent tissue (from Specimen Room of our hospital) was detected by immunohistochemical (IHC) assay and then categorized as four grades: AKIP1 low (IHC score ≤3), high+ (IHC score 4-6), high++ (IHC score 7-9), and high+++ (IHC score 10-12).

RESULTS

A-kinase interacting protein 1 low, high+, high++, and high+++ expression was 101 (41.2%), 101 (41.2%), 32 (13.1%), and 11 (4.5%) in tumor tissues, while was 173 (70.6%), 61 (24.9%), 9 (3.7%), and 2 (0.8%) in adjacent tissues. Further comparison analysis showed increased grade of AKIP1 expression in tumor tissues compared to adjacent tissue. Meanwhile, increased grade of tumor AKIP1 expression was correlated with larger tumor size, extrathyroidal invasion, increased pT stage, and higher pTNM stage. For prognosis, increased grade of tumor AKIP1 expression was correlated with shorter disease-free survival (DFS), while was not correlated with overall survival (OS). Forward stepwise multivariate Cox's regression revealed that higher tumor AKIP1 was an independent factor predicting worse DFS, but not OS.

CONCLUSION

AKIP1 is upregulated in tumor tissue, and increased tumor AKIP1 expression correlates with advanced tumor features and increased recurrence risk in PTC patients, which suggest that AKIP1 severs as a potential marker for effective supervision of PTC progression.

A-kinase interacting protein 1 high expression correlates with advanced tumor stage and poor overall survival in surgical patients with clear cell renal cell carcinoma

The present study aimed to detect the A-kinase interacting protein 1 (AKIP1) expression in clear cell renal cell carcinoma (ccRCC) tumor tissues and adjacent tissues, and further investigate the correlation of tumor AKIP1 expression with clinicopathological features and survival profile in ccRCC patients.Totally 210 ccRCC patients who underwent resection were retrospectively reviewed, and their tumor and adjacent tissue specimens were acquired for immunohistochemical detection of AKIP1 expression. The survival data of patients were collected for overall survival (OS) assessment.AKIP1 was upregulated in ccRCC tumor tissues compared with adjacent tissues (P < .001). Tumor AKIP1 expression was positively associated with T stage (P = .019), N stage (P = .032), and TNM stage (P = .005) in ccRCC patients. According to AKIP1 expression in tumor tissues, all patients were grouped as AKIP1 low and high expression (AKIP1 high expression were further divided into AKIP1 high+, high++, and high+++ expression). OS was the lowest in the patients with AKIP1 high+++ expression, followed by those with AKIP1 high++ expression and AKIP1 high+ expression, and then patients with AKIP1 low expression (P < .001). Furthermore, multivariate Cox regression exhibited tumor AKIP1 high expression (P = .017), age (>60 years) (P = .030), pathological grade (G2/G3 vs G1) (P = .037), and TNM stage (II/III vs I) (P < .001) were independent predictive factors for decreased OS in ccRCC patients.AKIP1 presents potency to be a novel biomarker for tumor progression and prognosis surveillance in ccRCC.

A-kinase interacting protein 1 (AKIP1) associates with advanced overall disease condition, tumor properties, and unfavorable prognosis in hepatocellular carcinoma patients

OBJECTIVE

The presented study aimed to investigate the association of A-kinase interacting protein 1 (AKIP1) expression with tumor properties, liver functions, cancer markers, and overall survival (OS) of hepatocellular carcinoma (HCC) patients.

METHODS

A total of 432 HCC patients receiving surgery were retrospectively reviewed in our study. Clinical characteristics of patients were obtained. Tumor tissue specimens of all patients were collected, and AKIP1 expression was evaluated by immunohistochemistry (IHC) assay. OS was assessed, and the median follow-up duration was 35.0 months. AKIP1 high expression was defined as total IHC score more than 3 and was further graded as AKIP1 high+ (IHC 4-6), AKIP1 high++ (IHC 7-9), and AKIP1 high+++ (IHC 10-12).

RESULTS

About 265 (61.3%) patients presented with AKIP1 low expression and 167 (38.7%) patients had AKIP1 high expression. AKIP1 high expression correlated with higher performance status score (P = .006), largest tumor size ≥5.0 cm (P < .001), Barcelona clinic liver cancer (BCLC) stage B (vs stage A; P = .024), increased alpha-fetoprotein level (P = .036), and higher carbohydrate antigen 199 level (P < .001). AKIP1 high expression (P < .001) and increased AKIP1 expression grade (P < .001) both correlated with worse OS, and Cox's regression analyses revealed that AKIP1 high expression (P < .001) was an independent predictive factor for shorter OS. In subgroup analysis, AKIP1 high expression and more advanced AKIP1 expression grade associated with worse OS in both BCLC stage A subgroup patients (both P < .001) and BCLC stage B subgroup patients (both P < .001), respectively.

CONCLUSION

AKIP1 is a novel and promising biomarker for disease monitoring and prognosis in HCC patients.

Identification of A-kinase interacting protein 1 as a potential biomarker for risk and prognosis of acute myeloid leukemia

Background

This study aimed to investigate the correlation of A‐kinase interacting protein 1 (AKIP1) expression with disease risk, clinical characteristics, and prognosis of acute myeloid leukemia (AML).

Methods

291 de novo AML patients and 97 controls were consecutively recruited, and bone marrow samples were collected to detect AKIP1 expression using quantitative polymerase chain reaction prior to initial treatment. Treatment response, event‐free survival (EFS), and overall survival (OS) in AML patients were evaluated.

Results

A‐kinase interacting protein 1 expression was higher in AML patients than that in controls; meanwhile, receiver operating characteristic curve displayed that AKIP1 was able to distinguish AML patients from controls (area under the curve:0.772, 95%CI: 0.720‐0.823). Among AML patients, AKIP1 high expression was correlated with −7 or 7q−, monosomal karyotype, and worse risk stratification. Moreover, AKIP1 expression was negatively correlated with complete remission achievement, while no correlation of AKIP1 expression with hematopoietic stem cell transplantation achievement was observed. AKIP1 high expression was associated with shorter EFS and OS in total patients, and further subgroup analysis exhibited that AKIP1 high expression correlated with worse EFS and OS in intermediate‐risk and poor‐risk patients but not in better‐risk patients. Besides, subsequent analysis revealed that AKIP1 high expression was an independent factor predicting unfavorable EFS and OS.

Conclusion

A‐kinase interacting protein 1 has the potential to be a novel marker for assisting AML management.

A-kinase interacting protein 1, a potential biomarker associated with advanced tumor features and CXCL1/2 in prostate cancer

OBJECTIVE

This study aimed to investigate the correlation of A-kinase interacting protein 1 (AKIP1) with chemokine (C-X-C motif) ligand 1 (CXCL1) and CXCL2, as well as their associations with clinical characteristics and prognosis in prostate cancer patients.

METHODS

A total of 248 eligible prostate cancer patients who underwent surgery were consecutively recruited, and tumor tissues were collected during the surgery. AKIP1, CXCL1, and CXCL2 expression in tumor tissues were assessed by immunohistochemistry. Disease-free survival and overall survival were recorded, and the median follow-up time was 27 months.

RESULTS

The proportion of patients with AKIP1, CXCL1, and CXCL2 high expression was 56.5%, 63.7%, and 56.9%, respectively. Additionally, AKIP1 expression positively correlated with CXCL1 expression (P<0.001) and CXCL2 expression (P<0.001), and CXCL1 expression was positively associated with CXCL2 expression (P<0.001). Furthermore, AKIP1 expression positively correlated with pathological T stage (P<0.001) and pathological N stage (P=0.003). CXCL1 expression was positively associated with pathological T stage (P<0.001) and pathological N stage (P<0.001) as well. However, the CXCL2 expression only positively correlated with pathological T stage (P=0.002). Also, AKIP1 high expression correlated with worse disease-free survival (P=0.049) and OS (P=0.013), and CXCL1 high expression was associated with unfavorable disease-free survival (P=0.023) but not overall survival (P=0.052). CXCL2 expression was not correlated with disease-free survival (P=0.083) or overall survival (P=0.065). Multivariate Cox's regression disclosed that AKIP1 high expression independently predicted worse overall survival (P=0.009).

CONCLUSION

AKIP1 positively associates with CXCL1/2 and is a potential biomarker for disease monitoring as well as prognosis in prostate cancer.

AKIP1 expression in tumor tissue as a new biomarker for disease monitoring and prognosis in non-small cell lung cancer: Results of a retrospective study

Background

A‐kinase–interacting protein 1 (AKIP1) has been reported as an oncogenetic factor in multiple cancers; however, no study has reported its role in non‐small cell lung cancer (NSCLC) yet. This study aimed to evaluate the expression of AKIP1, and its correlation with tumor characteristics as well as prognosis in patients with NSCLC.

Methods

Four hundred and ninety patients with NSCLC who underwent resection were reviewed, and baseline clinical data were collected. AKIP1 expression in tumor tissue/paired adjacent tissue was detected by immunohistochemistry. Disease‐free survival (DFS) and overall survival (OS) were calculated.

Results

A‐kinase–interacting protein 1 expression was elevated in tumor tissue compared with paired adjacent tissue (P < .001), and high AKIP1 tumor tissue expression was correlated with poor pathological differentiation (P < .001), tumor size >5 cm (P = .001), lymph node metastasis (P = .016), higher TNM stages (P < .001), and abnormal CEA level (>5 ng/mL) (P = .035). DFS was worse in patients with tumor tissue AKIP1 high expression compared with patients who had AKIP1 low expression in total patients (P < .001), TNM stage I (P < .001) and TNM stage III (P < .001) patients. And the OS was also decreased in patients with AKIP1 high expression in total patients (P < .001), TNM stage I patients (P = .001) and TNM stage III patients (P = .004). Moreover, multivariate Cox's proportional hazards regression model analysis revealed that AKIP1 high expression was an independent predictive factor for worse DFS (P < .001) and OS (P < .001).

Conclusion

Tumor tissue AKIP1 expression may have the potential to be a biomarker assisting in disease monitoring and prognosis in NSCLC.

A-kinase interacting protein 1 might serve as a novel biomarker for worse prognosis through the interaction of chemokine (C-X-C motif) ligand 1/chemokine (C-X-C motif) ligand 2 in acute myeloid leukemia

Background

This study aimed to explore the association of A‐kinase interacting protein 1 (AKIP1) with chemokine (C‐X‐C motif) ligand (CXCL) 1/CXCL2, and further investigate their correlation with clinical features and prognosis in acute myeloid leukemia (AML) patients.

Methods

Totally 160 de novo AML patients were recruited, and their bone marrow samples were collected before treatment for detecting the expressions of AKIP1, CXCL1, and CXCL2 by the quantitative polymerase chain reaction. Complete remission (CR) was assessed after induction treatment, and event‐free survival (EFS) and overall survival (OS) were calculated.

Results

AKIP1 expression was positively associated with CXCL1 (P < .001) and CXCL2 expression (P < .001). AKIP1 high expression was correlated with FAB classification (P = .022), monosomal karyotype (P = .001), and poor risk stratification (P = .013), while CXCL2 high expression was associated with monosomal karyotype (P = .001). As for treatment response, AKIP1 high expression exhibited a trend to be increased in non‐CR patients compared with CR patients, while without statistical significance (P = .105). However, no correlation of CXCL1 (P = .418) or CXCL2 (P = .685) with CR achievement was observed. Most importantly, AKIP1 and CXCL1 were negatively correlated with accumulating EFS and OS (all P < .05), while CXCL2 only showed a trend to be negatively associated with accumulating EFS (P = .069) and OS (P = .055; but without statistical significance).

Conclusion

AKIP1 might serve as a novel biomarker for worse AML prognosis through the interaction of CXCL1/CXCL2.

Calcium-Activated Chloride Channel A4 (CLCA4) Plays Inhibitory Roles in Invasion and Migration Through Suppressing Epithelial-Mesenchymal Transition via PI3K/AKT Signaling in Colorectal Cancer

Background

Calcium-activated chloride channel A4 (CLCA4) is known as a tumor suppressor which contributes to the progression of a number of types of malignant tumors. However, little is known about the functional roles of CLCA4 in colorectal cancer (CRC).

Material/Methods

In this study, the expression patterns and dysregulation of mRNAs in CRC tissues were profiled by analyzing GSE21510 datasets from Gene Expression Omnibus database which contains 104 primary hepatocellular carcinoma tissues and 24 normal liver tissues, and by performing Kaplan-Meier analysis of TCGA data. Additionally, immunohistochemistry and quantitative real-time polymerase chain reaction (qRT-PCR) were performed using clinical tissues collected at our institute. In order to explore the functional role of CLCA4, gain-of-function cell models were constructed in SW620 and LoVo cells. Wound healing assay and Transwell assay were carried out to access the cell migration and invasion ability.

Results

It was found that CLCA4 was an independent predictor for overall survival and lymph node metastasis. Additionally, immunohistochemistry and qRT-PCR results of the clinical tissues collected as part of our study further confirmed this correlation. In vitro experiments demonstrated that over-expression of CLCA4 could inhibit cell migration and invasion by suppressing epithelial-mesenchymal transition (EMT) via PI3K/ATK signaling and change the expression patterns of EMT markers in CLCA4-gain-of-function cell models.

Conclusions

CLCA4 inhibits migration and invasion by suppressing EMT via PI3K/ATK signaling and predicts favorable prognosis of CRC which may help to distinguish potential risk of lymph node metastasis in CRC.