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Journal of Proteomics & Bioinformatics
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Overexpression of Kinesin Associated Protein 3 (KIFAP3) in Breast Cancer

Deepthi Telikicherla1,2, Jagadeesha Maharudraiah1,3,4, Harsh Pawar1,5,6, Arivusudar Marimuthu1, Manoj Kumar Kashyap1, Y. L. Ramachandra2, Juan Carlos Roa7 and Akhilesh Pandey8,9,10,11*

1Institute of Bioinformatics, International Tech Park, Bangalore-560 066, India

2Department of Biotechnology, Kuvempu University, Shankaraghatta-577451, India

3Department of Pathology, Raja Rajeshwari Medical College and Hospital, Bangalore-560074, India

4Manipal University, Madhav Nagar, Manipal-576104, India

5Rajiv Gandhi University of Health Sciences, Bangalore-560041, India

6Department of Pathology, Kidwai Memorial Institute of Oncology, Bangalore-560029, India

7Department of Pathology, Universidad de La Frontera, Temuco, Chile

8McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

9Departments of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

10Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

11Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA

*Corresponding Author:
Dr. Akhilesh Pandey
M.D., Ph.D., McKusick-Nathans Institute of Genetic Medicine
733 N. Broadway, BRB 527
Johns Hopkins University, Baltimore, MD 21205, USA
Tel: 410-502-6662
Fax: 410-502-7544
E-mail: [email protected]

Received Date: January 27, 2012; Accepted Date: May 23, 2012; Published Date: May 28, 2012

Citation: Deepthi T, Jagadeesha M, Harsh P, Arivusudar M, Manoj Kumar K, et al. (2012) Overexpression of Kinesin Associated Protein 3 (KIFAP3) in Breast Cancer. J Proteomics Bioinform 5: 122-126. doi: 10.4172/jpb.1000223

Copyright: © 2012 Deepthi T, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

Breast neoplasms, KAP3, SMAP, SmgGDS associated protein, Immunohistochemistry

Abbreviations

KIFAP3: Kinesin Associated Protein 3; KIF3A: Kinesin Family Member 3A; KIF3B: Kinesin Family Member 3B; COPI: Coat Protein Complex I; SmgGDS: Small G Protein GDP Dissociation Stimulator; APC: Adenomatous Polyposis Coli; Src-vsrc Sarcoma (Schmidt-Ruppin A-2) Viral Oncogene Homolog (avian); HCAP: Human Chromosome Associated Polypeptide; TMA: Tissue Microarrays

Introduction

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death among women [1,2]. In the last decade, the majority of studies that have been carried out to understand breast tumors have focused on molecular alterations that accompany the process of oncogenesis. Aberrant levels of gene and protein expression are important events in cancer initiation and progression. A number of gene expression profiling studies have identified genes that are up or downregulated at the mRNA level in breast cancer [3-5]. Some of these genes have been reported to be differentially expressed across multiple studies involving large sample sets. However, these observations become significant only when they are supported by systematic validation at the protein level. Thus, we carried out a bioinformatics analysis of publicly available gene expression datasets and the published literature to identify genes that are reported to be overexpressed at the transcript level in breast cancers but have not yet been tested for their protein expression. Among the shortlisted molecules, KIFAP3 was chosen for validation at the protein level by immunohistochemical labeling of breast cancer Tissue Microarrays (TMAs).

Kinesins are a family of microtubule dependent motor proteins which transport molecules by using the chemical energy from breakdown of ATP enabled by their ATPase activity. This group of proteins plays a crucial role in transporting various cargos like organelles, nucleic acids and proteins. To carry out their role of transporting cargo efficiently, kinesins rely on a number of additional proteins [6,7]. Fourteen Kinesin families are known till date along with multiple accessory proteins [8]. Kinesin-2 is a heterotrimer made up of two motor proteins, Kinesin family member 3A (KIF3A) and Kinesin family member 3B (KIF3B). KIFAP3 is the third non-motor protein associated with the tail domain of KIF3A/KIF3B motor proteins through which these motor proteins are linked to cargo. Kinesin-2 has been shown to take part in organelle transport [9], lipid raft protein transport, mitosis related function [10,11] and vesicle mediated transport [12].

KIFAP3 gene is located on chromosome 1q24 locus and codes for a 90 kDa protein which has 3 armadillo repeats. It is also referred as SmgGDS-associated Protein (SMAP), since it interacts with SmgGDP dissociation stimulator (SmgGDS). SmgGDS is a regulatory protein that is involved in GTP/GDP exchange in small G proteins such as Rho, member of the Rap1 family [13,14] and Ki-Ras. It also modulates lipid mediated post-translational modification of small G-proteins [15]. SmgGDS also negatively regulates the interaction between lipid modified small G-proteins and plasma membrane [16]. KIFAP3 was identified as a SmgGDS interacting protein in a cell free system [17]. KIFAP3 was shown to be localized to the nucleus, the cytoplasm and the Endoplasmic Reticulum (ER) [17,18].

KIFAP3 interacts with several other proteins like Adenomatous Polyposis Coli (APC) [19], c-Src [17], Human Chromosome Associated Polypeptide (HCAP) [18] and other proteins through its armadillo repeat domains. It has been shown that phosphorylation by Src results in reduced affinity of KIFAP3 to SmgGDS. The kinesin-2 machinery is involved in retrograde transport of COPI (coat protein complex I) coated vesicles from the Golgi complex to the ER and downregulation of KIFAP3 results in disruption of this function [20].

In the current study, we have performed immunohistochemical validation of KIFAP3 protein in a large cohort of breast cancer patients. We found overexpression of KIFAP3 in 84% of the cases. Our results suggest that KIFAP3 can be a good candidate protein that can be studied further for its specific role in breast neoplasms.

Materials and Methods

Immunohistochemical labeling

Immunohistochemical labeling for KIFAP3 was carried out on breast cancer tissue microarrays (n=44) that were prepared by JCR (Universidad de La Frontera, Temuco, Chile). The rabbit polyclonal antibody against KIFAP3 was purchased from the Human Protein Atlas (catalog # HPA023738). The optimum dilution for the anti- KIFAP3 antibody was found to be 1:15. The immunohistochemical staining procedure was carried out as previously described by Kashyap et al. [21]. Briefly, the tissue microarrays were deparaffinized and antigen retrieval was carried out using HIER (Heat-Induced Epitope Retrieval) by incubating them for 20 minutes in antigen retrieval buffer (0.01 M Trisodium citrate buffer, pH 6). The quenching of endogenous peroxidases was done by using blocking solution (ready- to- use from Dako, Glostrup, Denmark). This was followed by three washes with the wash buffer (PBS, pH 7). The sections were incubated after addition of primary antibody overnight at 4°C in a humidified chamber. After removal of primary antibody followed by washing, the slides were incubated with appropriate horseradish peroxidase conjugated secondary antibody (Vector labs, Burlingame, CA) for 30 minutes at room temperature. Immunoperoxidase staining was developed for 3 minutes using DAB chromogen (Dako, Glostrup, Denmark) followed by counterstaining using hematoxylin (Nice Chemicals, India). Only the antibody diluent was used instead of primary antibody as the negative control. The microscopy was done using the LEITZ DMRB model of Leica (Leica Microsystems, Wetzlar, Germany). All the images were captured at a magnification of 200X. The immunohistochemically labeled sections were scored by an experienced pathologist (JM), and the staining intensity was given the scores of 0 for negative, 1+ for mild, 2+ for moderate and 3+ for strong. The distribution of staining of cancer cells was scored as 0 (less than 5% of cells staining), 1+ (5%- 30% of cells staining), 2+ (31%-60% of cells staining) or 3+ (greater than 60% of cells staining). The intensities of staining were compared between carcinoma cells and that of normal breast tissue.

Public availability and accessibility of immunohistochemistry data

To make our findings accessible to other researchers, we have submitted the data from immunohistochemical labeling of KIFAP3 to Human Proteinpedia (HUPA; http://www.humanproteinpedia. org) [22]. The expression of KIFAP3 in normal breast epithelium (http://www.humanproteinpedia.org/Experimental_details?exp_ id=TE-142795) and in breast cancer (http://www.humanproteinpedia. org/Experimental_details?can_id=105418) can be visualized in separate pages. Figure 1 shows a screenshot of Human Protein Reference Database (HPRD; http://www.hprd.org) [23] page for KIFAP3 protein and also of HUPA resource displaying KIFAP3 expression in normal breast tissue and breast carcinoma.and also of HUPA resource displaying KIFAP3 expression in normal breast tissue and breast carcinoma.

proteomics-bioinformatics-human-protein-annotations

Figure 1: Human Protein Reference Database (HPRD) and Human Proteinpedia annotations for KIFAP3. This figure is a screenshot of the HPRD molecule page for KIFAP3 protein that provides information about the protein, architecture, post-translational modifications, subcellular localization and tissue expression of the molecule. The immunohistochemical data from this study as displayed in Human Proteinpedia is shown in the inset

Results and Discussion

Selection of KIFAP3 as a candidate marker for validation

Gene expression data from publicly available resources such as Gene Expression Atlas (GEA) [24] and Oncomine [25] was searched to generate a list of genes reported to be overexpressed in breast cancer. The published literature was mined to find out which of these differentially expressed genes were previously studied with respect to protein level expression in breast cancer. Among these molecules, KIFAP3 was chosen since a) its mRNA expression profile in Oncomine and GEA indicated that it is overexpressed across several breast tumors and cell lines; b) it was shown to be >3 fold upregulated in breast tumors at mRNA level in a high-throughput study by Grigoriadis et al. [26], and, c) its expression was has not yet been reported at the protein level in breast cancer.

KIFAP3 is an interesting molecule to test because it has been shown to be associated with proteins that are known to mediate carcinogenesis. It has been shown that the KIFAP3-APC interaction is important in cell migration, a crucial event in cancer progression [19,27]. APC is a tumor suppressor protein which plays an essential role in cell cycle control [28]. Lukong and Richard [29], have shown that KIFAP3 is phosphorylated by breast tumor kinase (BRK or PTK6) in the BT20 breast cancer cell line. They also observed that BRK drastically alters the localization of KIFAP3 and that KIFAP3 is required for BRK-induced cell migration. They hypothesized that KIFAP3 might be a key effector in the BRK signaling pathway in breast carcinomas. BRK is known to be overexpressed in more than 60% of breast tumors [29-34] and is a component of the ErbB-Brk-Rac-p38 MAPK pathway and is a critical mediator of breast cancer cell migration [34,35]. The interaction of KIFAP3 with BRK, a protein with an important role in breast tumor progression, makes it an attractive candidate for validation of its overexpression in breast carcinomas.

KIFAP3 was specifically selected for validation taking into consideration (a) the availability of an antibody in the Human Protein Atlas (HPA) (http://www.proteinatlas.org/) [36] (b) its role in mitosis and cell cycle regulation and (c) its interactions with the proteins APC and BRK that play a significant role in cancer initiation and progression.

Expression of KIFAP3 in breast tumors

Immunohistochemical labeling was performed on tissue microarrays using a commercially available antibody against KIFAP3. The immunogen was a 91 amino acid recombinant protein fragment which was used to generate the polyclonal antibody in rabbit (http://www.proteinatlas.org/ENSG00000075945/antibody). The Immunohistochemical staining pattern of KIFAP3 in a few representative sections of normal breast tissue and breast cancer tissues is shown in Figure 2. We observed expression of KIFAP3 in almost all breast ductal carcinoma tissues that were tested and majority of tumors were strongly stained for KIFAP3. KIFAP3 expression was predominantly found to be localized in the cytoplasm of tumor cells (Figure 2A panel a-d). A breast cancer section that does not stain positive for KIFAP3 is shown in panel e in Figure 2A.

proteomics-bioinformatics-protein-breast-cancers

Figure 2: The pattern of expression of KIFAP3 protein breast cancers and normal breast tissue sections. Tissue sections from TMAs stained with anti-KIFAP3 antibody. (A) This panel of five tissue sections represents breast cancer cases. Tumor sections a-d show significant overexpression of the KIFAP3 protein. Tumor section e represents a case that does not show KIFAP3 overexpression (B) This panel represents five normal breast tissue sections showing a weak expression of KIFAP3. All images were acquired at 200X magnification.

In normal breast tissue, there was weak to moderate staining of epithelial cells for KIFAP3 and its expression was localized to the cytoplasm (Figure 2B). The staining pattern of KIFAP3 protein in tumor and normal tissues is summarized in Table 1. As shown in the table, 84% (240/285) of the tumors showed overexpression of KIFAP3. The expression of KIFAP3 in all 14 controls tested showed a weak cytoplasmic staining. Out of the 285 cases tested, 227 cases showed strong positive staining in carcinoma cells alone, four cases showed positive staining in tumor as well as the stromal components and nine cases showed overexpression only in the stroma but not in the tumor cells. Finak et al. [37] have reported the overexpression of KIFAP3 in breast cancer stroma as compared to normal stroma in a high-throughput gene expression profiling study. Our observation of stromal expression of KIFAP3 in breast tumors is in agreement with the above findings.

    Number of cases
1. Number of cases tested 285
2. Number of positive cases 240
3. Number of cases with positive staining of carcinoma cells alone 227
4. Number of cases with positive staining of stroma alone 9
5. Number of cases with positive staining of both carcinoma and stromal component 4

Table 1: Summary of immunohistochemical labeling for KIFAP3 in breast carcinoma tissues.

Conclusions

Gene expression databases provide enormous information about differentially regulated genes. Integration of this data coupled to literature mining followed by systematic validation led us to find novel potential biomarkers in breast cancer. This study shows how a bioinformatics approach to find novel candidate biomarkers for cancers can be an effective means to find an interesting molecule for validation in a relatively short time. Using this approach, we found that KIFAP3 gene, which was reported to be upregulated at mRNA level in breast tumors, is also overexpressed at the protein level. We believe that this approach will assist in identification of additional potential candidate markers in other cancers as well. Our study should enable other functional studies to unravel the exact role of KIFAP3 in breast cancer initiation, progression and invasion.

Acknowledgements

We thank the Department of Biotechnology (DBT), Government of India for research support to the Institute of Bioinformatics, Bangalore. This study was supported in part by an NIH roadmap grant for Technology Centers of Networks and Pathways (U54RR020839). Deepthi Telikicherla is a recipient of a Senior Research Fellowship from the Indian Council of Medical Research (ICMR), New Delhi, Government of India. Harsh Pawar is a recipient of Senior Research Fellowship from the Council of Scientific and Industrial Research (CSIR), Government of India. We would like to thank Dr. S. K. Shankar and Dr. Anita Mahadevan of National Institute of Mental Health and Neurological Sciences (NIMHANS), Bangalore for providing access to the imaging facility.

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