Identification of Tumor-associated Autoantigens for the Diagnosis of Colorectal Cancer in Serum Using High Density Protein Microarrays

There is a mounting evidence of the existence of autoantibodies associated to cancer progression. Antibodies are the target of choice for serum screening because of their stability and suitability for sensitive immunoassays. By using commercial protein microarrays containing 8000 human proteins, we examined 20 sera from colorectal cancer (CRC) patients and healthy subjects to identify autoantibody patterns and associated antigens. Forty-three proteins were differentially recognized by tumoral and reference sera (p value <0.04) in the protein microarrays. Five immunoreactive antigens, PIM1, MAPKAPK3, STK4, SRC, and FGFR4, showed the highest prevalence in cancer samples, whereas ACVR2B was more abundant in normal sera. Three of them, PIM1, MAPKAPK3, and ACVR2B, were used for further validation. A significant increase in the expression level of these antigens on CRC cell lines and colonic mucosa was confirmed by immunoblotting and immunohistochemistry on tissue microarrays. A diagnostic ELISA based on the combination of MAPKAPK3 and ACVR2B proteins yielded specificity and sensitivity values of 73.9 and 83.3% (area under the curve, 0.85), respectively, for CRC discrimination after using an independent sample set containing 94 sera representative of different stages of progression and control subjects. In summary, these studies confirmed the presence of specific autoantibodies for CRC and revealed new individual markers of disease (PIM1, MAPKAPK3, and ACVR2B) with the potential to diagnose CRC with higher specificity and sensitivity than previously reported serum biomarkers.Colorectal cancer (CRC)¹ is the second most prevalent cancer in the western world. The development of this disease takes decades and involves multiple genetic events. CRC remains a major cause of mortality in developed countries because most of the patients are diagnosed at advanced stages because of the reluctance to use highly invasive diagnostic tools like colonoscopy. Actually only a few proteins have been described as biomarkers in CRC (carcinoembryonic antigen (CEA), CA19.9, and CA125 (1–3)), although none of them is recommended for clinical screening (4). Proteomics analysis is actively used for the identification of new biomarkers. In previous studies, the use of two-dimensional DIGE and antibody microarrays allowed the identification of differentially expressed proteins in CRC tissue, including isoforms and post-translational modifications responsible for modifications in signaling pathways (5–8). Both approaches resulted in the identification of a collection of potential tumoral tissue biomarkers that is currently being investigated.However, the implementation of simpler, non-invasive methods for the early detection of CRC should be based on the identification of proteins or antibodies in serum or plasma (9–13). There is ample evidence of the existence of an immune response to cancer in humans as demonstrated by the presence of autoantibodies in cancer sera. Self-proteins (autoantigens) altered before or during tumor formation can elicit an immune response (13–19). These tumor-specific autoantibodies can be detected at early cancer stages and prior to cancer diagnosis revealing a great potential as biomarkers (14, 15, 20). Tumor proteins can be affected by specific point mutations, misfolding, overexpression, aberrant glycosylation, truncation, or aberrant degradation (e.g. p53, HER2, NY-ESO1, or MUC1 (16, 21–25)). In fact, a number of tumor-associated autoantigens (TAAs) were identified previously in different studies involving autoantibody screening in CRC (26–28).Several approaches have been used to identify TAAs in cancer, including natural protein arrays prepared with fractions obtained from two-dimensional LC separations of tumoral samples (29, 30) or protein extracts from cancer cells or tissue (9, 31) probed by Western blot with patient sera, cancer tissue peptide libraries expressed as cDNA expression libraries for serological screening (serological analysis of recombinant cDNA expression libraries (SEREX)) (22, 32), or peptides expressed on the surface of phages in combination with microarrays (17, 18, 33, 34). However, these approaches suffer from several drawbacks. In some cases TAAs have to be isolated and identified from the reactive protein lysate by LC-MS techniques, or in the phage display approach, the reactive TAA could be a mimotope without a corresponding linear amino acid sequence. Moreover, cDNA libraries might not be representative of the protein expression levels in tumors as there is a poor correspondence between mRNA and protein levels.Protein arrays provide a novel platform for the identification of both autoantibodies and their respective TAAs for diagnostic purposes in cancer serum patients. They present some advantages. Proteins printed on the microarray are known “a priori,” avoiding the need for later identifications and the discovery of mimotopes. There is no bias in protein selection as the proteins are printed at a similar concentration. This should result in a higher sensitivity for biomarker identification (13, 35, 36).In this study, we used commercially available high density protein microarrays for the identification of autoantibody signatures and tumor-associated antigens in colorectal cancer. We screened 20 CRC patient and control sera with protein microarrays containing 8000 human proteins to identify the CRC-associated autoantibody repertoire and the corresponding TAAs. Autoantibody profiles that discriminated the different types of CRC metastasis were identified. Moreover a set of TAAs showing increased or decreased expression in cancer cell lines and paired tumoral tissues was found. Finally an ELISA was set up to test the ability of the most immunoreactive proteins to detect colorectal adenocarcinoma. On the basis of the antibody response, combinations of three antigens, PIM1, MAPKAPK3, and ACVR2B, showed a great potential for diagnosis.     

Analysis of Free Energy Signals Arising from Nucleotide Hybridization Between rRNA and mRNA Sequences during Translation in Eubacteria

A decoding algorithm is tested that mechanistically models the progressive alignments that arise as the mRNA moves past the rRNA tail during translation elongation. Each of these alignments provides an opportunity for hybridization between the single-stranded, -terminal nucleotides of the 16S rRNA and the spatially accessible window of mRNA sequence, from which a free energy value can be calculated. Using this algorithm we show that a periodic, energetic pattern of frequency 1/3 is revealed. This periodic signal exists in the majority of coding regions of eubacterial genes, but not in the non-coding regions encoding the 16S and 23S rRNAs. Signal analysis reveals that the population of coding regions of each bacterial species has a mean phase that is correlated in a statistically significant way with species () content. These results suggest that the periodic signal could function as a synchronization signal for the maintenance of reading frame and that codon usage provides a mechanism for manipulation of signal phase.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

In-depth Characterization of the Secretome of Colorectal Cancer Metastatic Cells Identifies Key Proteins in Cell Adhesion,Migration, and Invasion

Liver metastasis in colorectal cancer is the major cause of cancer-related deaths. To identify and characterize proteins associated with colon cancer metastasis, we have compared the conditioned serum-free medium of highly metastatic KM12SM colorectal cancer cells with the parental, poorly metastatic KM12C cells using quantitative stable isotope labeling by amino acids in cell culture (SILAC) analyses on a linear ion trap-Orbitrap Velos mass spectrometer. In total, 1337 proteins were simultaneously identified in SILAC forward and reverse experiments. For quantification, 1098 proteins were selected in both experiments, with 155 proteins showing >1.5-fold change. About 52% of these proteins were secreted directly or using alternative secretion pathways. GDF15, S100A8/A9, and SERPINI1 showed capacity to discriminate cancer serum samples from healthy controls using ELISAs. In silico analyses of deregulated proteins in the secretome of metastatic cells showed a major abundance of proteins involved in cell adhesion, migration, and invasion. To characterize the tumorigenic and metastatic properties of some top up- and down-regulated proteins, we used siRNA silencing and antibody blocking. Knockdown expression of NEO1, SERPINI1, and PODXL showed a significant effect on cellular adhesion. Silencing or blocking experiments with SOSTDC1, CTSS, EFNA3, CD137L/TNFSF9, ZG16B, and Midkine caused a significant decrease in migration and invasion of highly metastatic cells. In addition, silencing of SOSTDC1, EFNA3, and CD137L/TNFSF9 reduced liver colonization capacity of KM12SM cells. Finally, the panel of six proteins involved in invasion showed association with poor prognosis and overall survival after dataset analysis of gene alterations. In summary, we have defined a collection of proteins that are relevant for understanding the mechanisms underlying adhesion, migration, invasion, and metastasis in colorectal cancer.Despite the efforts for colorectal cancer (CRC)¹ prevention using different strategies (1–6), 30–40% of patients have regionally advanced disease or suffer from metastasis when diagnosed (7). Moreover, half of the CRC patients will develop recurrence and liver metastasis within 5 years (8). Although genetic changes leading to the development of sporadic colorectal cancer primary tumors in intestinal cells have been relatively well characterized (9), further efforts are necessary to better understand the biology of CRC metastasis and to identify associated markers that can be used as diagnostic/prognostic biomarkers or potential drug targets. Metastasis is a complex process involving different steps from extravasation to liver colonization and requires the concerted action of a large number of proteins to modulate different effects on adhesion, migration, invasion, and survival at the target organ (10).Cancer cells secrete proteins or protein fragments to body fluids, such as blood, that can be used as biomarkers (11, 12) and/or potential therapeutic targets (13). In the case of CRC, there are only three proteins currently used as biomarkers: the carcinoembryonic antigen (CEA) for recurrence and metastasis (1), deleted in colorectal carcinoma (DCC), and vascular endothelial growth factor (VEGF). The secretome constitutes a rich source of information not only for the identification of biomarkers but for the characterization of altered molecules like growth factors, cytokines, proteases, etc., which are vital for cancer progression and metastasis.We are using the well known human KM12 cell system (14) to study the biology of CRC metastasis. KM12SM cells, which possess high metastatic capacity to liver, were isolated from liver metastases in nude mice after five cycles of intrasplenic injection of the poorly metastatic cell line KM12C (14, 15). Multiple studies support a good correlation between the findings observed in the KM12 cell model and patient samples, indicating that KM12 isogenic cell lines recapitulate quite effectively some of the critical issues in CRC metastasis (16–21). In a previous study, we carried out a characterization of plasma membrane proteins of metastatic KM12 cells using a SILAC assay but with a low accuracy and resolution linear ion trap (17). About 60 proteins that showed ≥1.5-fold-change between both types of cells were identified. Recent studies applied iTRAQ or label-free quantification to other pairs of isogenic, nonmetastatic-metastatic colorectal cancer cell lines, SW480 and SW620, for the characterization of protein differences in the whole cell proteome (22) and secretome (23), respectively. The SW620 cell line was isolated from a metastatic lymph node of the same patient as SW480 (24). In contrast, KM12SM cells were chosen based on their capacity for liver metastasis, which makes them most appropriate for the study of liver homing and late stages of metastasis.We are analyzing different fractions of KM12 cells, including the secretome, for a deeper analysis of functionally relevant proteins in metastasis. In a previous report, we analyzed the cytokine/chemokine profiles released in the conditioned media by colorectal metastatic cancer KM12SM cells compared with KM12C using antibody microarrays (20). We found an important role for T_H2 cytokine IL-13 and its receptor IL13Rα2 in cell adhesion, migration, invasion, and liver colonization. Here, we continued this in-depth characterization of the secretome compartment using SILAC analysis with a high accuracy and resolution mass spectrometer, the linear ion trap Orbitrap Velos. The proteomic characterization resulted in the identification and quantification of 1337 and 1098 proteins, respectively, in the conditioned medium. In silico studies demonstrated a predominant association of deregulated proteins in metastatic cells to adhesion, migration, and invasion processes. Three candidates (GDF15, S100A8/A9, and SERPINI1) showed promise as CRC diagnostic markers in serum samples from CRC patients using ELISA. Functional studies using siRNA silencing and antibody blocking experiments demonstrated important tumorigenic and invasive properties in some previously uncharacterized proteins in CRC. In addition, three proteins, EFNA3, CD137L/TNFSF9, and SOSTDC1, demonstrated a critical role in liver homing for metastasis. Finally, meta-analysis of mRNA alterations data indicated that CD137L/TNFSF9, CTSS, SOSTDC1, ZG16B, EFNA3, and MDK were associated with poor prognosis in colorectal cancer.     

Proinsulin and the Genetics of Diabetes Mellitus

Insulin plays a central role in the regulation of vertebrate metabolism. The hormone, the post-translational product of a single-chain precursor, is a globular protein containing two chains, A (21 residues) and B (30 residues). Recent advances in human genetics have identified dominant mutations in the insulin gene causing permanent neonatal-onset DM² (1–4). The mutations are predicted to block folding of the precursor in the ER of pancreatic β-cells. Although expression of the wild-type allele would in other circumstances be sufficient to maintain homeostasis, studies of a corresponding mouse model (5–7) suggest that the misfolded variant perturbs wild-type biosynthesis (8, 9). Impaired β-cell secretion is associated with ER stress, distorted organelle architecture, and cell death (10). These findings have renewed interest in insulin biosynthesis (11–13) and the structural basis of disulfide pairing (14–19). Protein evolution is constrained not only by structure and function but also by susceptibility to toxic misfolding.Insulin plays a central role in the regulation of vertebrate metabolism. The hormone, the post-translational product of a single-chain precursor, is a globular protein containing two chains, A (21 residues) and B (30 residues). Recent advances in human genetics have identified dominant mutations in the insulin gene causing permanent neonatal-onset DM² (1–4). The mutations are predicted to block folding of the precursor in the ER of pancreatic β-cells. Although expression of the wild-type allele would in other circumstances be sufficient to maintain homeostasis, studies of a corresponding mouse model (5–7) suggest that the misfolded variant perturbs wild-type biosynthesis (8, 9). Impaired β-cell secretion is associated with ER stress, distorted organelle architecture, and cell death (10). These findings have renewed interest in insulin biosynthesis (11–13) and the structural basis of disulfide pairing (14–19). Protein evolution is constrained not only by structure and function but also by susceptibility to toxic misfolding.     

Algorithms for Finding Small Attractors in Boolean Networks

A Boolean network is a model used to study the interactions between different genes in genetic regulatory networks. In this paper, we present several algorithms using gene ordering and feedback vertex sets to identify singleton attractors and small attractors in Boolean networks. We analyze the average case time complexities of some of the proposed algorithms. For instance, it is shown that the outdegree-based ordering algorithm for finding singleton attractors works in time for , which is much faster than the naive time algorithm, where is the number of genes and is the maximum indegree. We performed extensive computational experiments on these algorithms, which resulted in good agreement with theoretical results. In contrast, we give a simple and complete proof for showing that finding an attractor with the shortest period is NP-hard.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

Arachidonic Acid Stimulates Cell Adhesion through a Novel p38 MAPK-RhoA Signaling Pathway That Involves Heat Shock Protein 27

Rho GTPases are critical components of cellular signal transduction pathways. Both hyperactivity and overexpression of these proteins have been observed in human cancers and have been implicated as important factors in metastasis. We previously showed that dietary n-6 fatty acids increase cancer cell adhesion to extracellular matrix proteins, such as type IV collagen. Here we report that in MDA-MB-435 human melanoma cells, arachidonic acid activates RhoA, and inhibition of RhoA signaling with either C3 exoenzyme or dominant negative Rho blocked arachidonic acid-induced cell adhesion. Inhibition of the Rho kinase (ROCK) with either small molecule inhibitors or ROCK II-specific small interfering RNA (siRNA) blocked the fatty acid-induced adhesion. However, unlike other systems, inhibition of ROCK did not block the activation of p38 mitogen-activated protein kinase (MAPK); instead, Rho activation depended on p38 MAPK activity and the presence of heat shock protein 27 (HSP27), which is phosphorylated downstream of p38 after arachidonic acid treatment. HSP27 associated with p115RhoGEF in fatty acid-treated cells, and this association was blocked when p38 was inhibited. Furthermore, siRNA knockdown of HSP27 blocked the fatty acid-stimulated Rho activity. Expression of dominant negative p115-RhoGEF or p115RhoGEF-specific siRNA inhibited both RhoA activation and adhesion on type IV collagen, whereas a constitutively active p115RhoGEF restored the arachidonic acid stimulation in cells in which the p38 MAPK had been inhibited. These data suggest that n-6 dietary fatty acids stimulate a set of interactions that regulates cell adhesion through RhoA and ROCK II via a p38 MAPK-dependent association of HSP27 and p115RhoGEF.The ability of tumor cells to metastasize to secondary sites is a hallmark of neoplastic disease. Unfortunately, this propensity to spread is the primary cause of morbidity and death in cancer patients (1). Metastasis is clearly a highly regulated, multistep process that occurs in a spatiotemporal manner (2–4). To escape the restrictive compartment boundaries characteristic of adult tissue, separate intravasation and extravasation steps requiring alterations in co-adhesion, adhesion, invasion, and migration must occur. Execution of these biological processes, involving multiple proteins and cellular organelles, require highly coordinated cell signaling mechanisms.The Rho family of small GTPases regulates many facets of cytoskeletal rearrangements that facilitate cell attachment and migration (5–7). Rho GTPases act as molecular switches by changing from an inactive GDP-bound conformation to an active GTP-bound conformation, thereby regulating a signaling pathway. These proteins are directly regulated by Rho guanine nucleotide exchange factors (GEFs),² Rho GTPase activating proteins, and Rho GDP-dissociation inhibitors (8–12). RhoGEFs bind to the GTPase to catalyze the dissociation of GDP, allowing the binding of GTP and thereby promoting Rho activation (8). The RGS (regulators of G protein signaling) domain-containing RhoGEFs are a recently described family of GEFs. Currently, there are three members of this family, PDZ-RhoGEF, LARG, and p115RhoGEF (13–15), in which the RGS domains function as a heterotrimeric GTPase-activating domain (13, 15, 16). The RGS family of RhoGEFs has been shown to regulate Rho during several processes including cytoskeletal rearrangements, cell adhesion, and cancer progression (17–21).There is significant interplay between the activity of small GTPases and signaling derived from fatty acid metabolism (22–28). Linoleic acid, which is metabolized to arachidonic acid, is an n-6 polyunsaturated fatty acid that is present at high levels in most western diets (29). In animal models, diets high in n-6 polyunsaturated fatty acids have been shown to enhance tumor progression and metastasis (30, 31). Additionally, arachidonic acid is stored in cell membranes and is made available by phospholipases under conditions of increased inflammatory response (32). Arachidonic acid is further metabolized by cyclooxygenases (COX), lipoxygenases (LOX), and cytochrome P450 monooxygenases to yield bioactive products that have myriad effects on cells, and altered metabolism of arachidonic acid by COX, LOX, and P450 has been implicated in cancer progression (31, 33–36).We have studied mechanisms of cell adhesion using the MDA-MB-435 cells as a model of a highly metastatic human cancer cell line (37). These cells have been extensively studied for their ability to recapitulate the metastatic cascade in vivo and in vitro, although recent work indicates that the cells currently in use are most likely a human melanoma line (38). We initially observed that arachidonic acid (AA) enhanced adhesion of MDA-MB-435 cells to type IV collagen through specific integrin-mediated pathways (37). Exogenous AA led to the activation of mitogen-activated protein kinase (MAPK)-activated protein kinase 2 and the phosphorylation of heat shock protein 27 (HSP27) via a p38 MAPK-dependent process (39). Inhibition of p38 MAPK activation blocked cell adhesion as did function-blocking antibodies specific for subunits of the collagen receptor (40). More recently, we identified the key metabolite of AA (15-(S)- hydroxyeicosatetraenoic acid) and the upstream kinases (TAK1 and MKK6) that are responsible for activation of p38 MAPK in this system (41).In this study we investigated the role of Rho activation in the MDA-MB-435 cells after exposure to arachidonic acid. Several aspects of the regulation of Rho signaling in these cells provide insights into the cross-talk between important signaling pathways.     

The Wavelet-Based Cluster Analysis for Temporal Gene Expression Data

A variety of high-throughput methods have made it possible to generate detailed temporal expression data for a single gene or large numbers of genes. Common methods for analysis of these large data sets can be problematic. One challenge is the comparison of temporal expression data obtained from different growth conditions where the patterns of expression may be shifted in time. We propose the use of wavelet analysis to transform the data obtained under different growth conditions to permit comparison of expression patterns from experiments that have time shifts or delays. We demonstrate this approach using detailed temporal data for a single bacterial gene obtained under 72 different growth conditions. This general strategy can be applied in the analysis of data sets of thousands of genes under different conditions.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29]     

Tyrosine Phosphorylation of Growth Factor Receptor-bound Protein-7 by Focal Adhesion Kinase in the Regulation of Cell Migration, Proliferation, and Tumorigenesis

We have previously reported that growth factor receptor-bound protein-7 (Grb7), an Src-homology 2 (SH2)-containing adaptor protein, enables interaction with focal adhesion kinase (FAK) to regulate cell migration in response to integrin activation. To further elucidate the signaling events mediated by FAK·Grb7 complexes in promoting cell migration and other cellular functions, we firstly examined the phos pho ryl a ted tyrosine site(s) of Grb7 by FAK using an in vivo mutagenesis. We found that FAK was capable of phos pho rylating at least 2 of 12 tyrosine residues within Grb7, Tyr-188 and Tyr-338. Moreover, mutations converting the identified Tyr to Phe inhibited integrin-dependent cell migration as well as impaired cell proliferation but not survival compared with the wild-type control. Interestingly, the above inhibitory effects caused by the tyrosine phos pho ryl a tion-deficient mutants are probably attributed to their down-regulation of phospho-Tyr-397 of FAK, thereby implying a mechanism by competing with wild-type Grb7 for binding to FAK. Consequently, these tyrosine phos pho ryl a tion-deficient mutants evidently altered the phospho-Tyr-118 of paxillin and phos pho ryl a tion of ERK1/2 but less on phospho-Ser-473 of AKT, implying their involvement in the FAK·Grb7-mediated cellular functions. Additionally, we also illustrated that the formation of FAK·Grb7 complexes and Grb7 phos pho ryl a tion by FAK in an integrin-dependent manner were essential for cell migration, proliferation and anchorage-independent growth in A431 epidermal carcinoma cells, indicating the importance of FAK·Grb7 complexes in tumorigenesis. Our data provide a better understanding on the signal transduction event for FAK·Grb7-mediated cellular functions as well as to shed light on a potential therapeutic in cancers.Growth factor receptor bound protein-7 (Grb7)² is initially identified as a SH2 domain-containing adaptor protein bound to the activated EGF receptor (1). Grb7 is composed of an N-terminal proline-rich region, following a putative RA (Ras-associating) domain and a central PH (pleckstrin homology) domain and a BPS motif (between PH and SH2 domains), and a C-terminal SH2 domain (2–6). Despite the lack of enzymatic activity, the presence of multiple protein-protein interaction domains allows Grb7 family adaptor proteins to participate in versatile signal transduction pathways and, therefore, to regulate many cellular functions (4–6). A number of signaling molecules has been reported to interact with these featured domains, although most of the identified Grb7 binding partners are mediated through its SH2 domain. For example, the SH2 domain of Grb7 has been demonstrated to be capable of binding to the phospho-tyrosine sites of EGF receptor (1), ErbB2 (7), ErbB3 and ErbB4 (8), Ret (9), platelet-derived growth factor receptor (10), insulin receptor (11), SHPTP2 (12), Tek/Tie2 (13), caveolin (14), c-Kit (15), EphB1 (16), G6f immunoreceptor protein (17), Rnd1 (18), Shc (7), FAK (19), and so on. The proceeding α-helix of the PH domain of Grb7 is the calmodulin-binding domain responsible for recruiting Grb7 to plasma membrane in a Ca²⁺-dependent manner (20), and the association between the PH domain of Grb7 and phosphoinositides is required for the phosphorylation by FAK (21). Two additional proteins, NIK (nuclear factor κB-inducing kinase) and FHL2 (four and half lim domains isoform 2), in association with the GM region (Grb and Mig homology region) of Grb7 are also reported, although the physiological functions for these interactions remain unknown (22, 23). Recently, other novel roles in translational controls and stress responses through the N terminus of Grb7 are implicated for the findings of Grb7 interacting with the 5′-untranslated region of capped targeted KOR (kappa opioid receptor) mRNA and the Hu antigen R of stress granules in an FAK-mediated phosphorylation manner (24, 25).Unlike its member proteins Grb10 and Grb14, the role of Grb7 in cell migration is unambiguous and well documented. This is supported by a series of studies. Firstly, Grb7 family members share a significantly conserved molecular architecture with the Caenorhabditis elegans Mig-10 protein, which is involved in neuronal cell migration during embryonic development (4, 5, 26), suggesting that Grb7 may play a role in cell migration. Moreover, Grb7 is often co-amplified with Her2/ErbB2 in certain human cancers and tumor cell lines (7, 27, 28), and its overexpression resulted in invasive and metastatic consequences of various cancers and tumor cells (23, 29–33). On the contrary, knocking down Grb7 by RNA interference conferred to an inhibitory outcome of the breast cancer motility (34). Furthermore, interaction of Grb7 with autophosphorylated FAK at Tyr-397 could promote integrin-mediated cell migration in NIH 3T3 and CHO cells, whereas overexpression of its SH2 domain, an dominant negative mutant of Grb7, inhibited cell migration (19, 35). Recruitment and phosphorylation of Grb7 by EphB1 receptors enhanced cell migration in an ephrin-dependent manner (16). Recently, G7–18NATE, a selective Grb7-SH2 domain affinity cyclic peptide, was demonstrated to efficiently block cell migration of tumor cells (32, 36). In addition to cell migration, Grb7 has been shown to play a role in a variety of physiological and pathological events, for instance, kidney development (37), tumorigenesis (7, 14, 38–41), angiogenic activity (20), proliferation (34, 42, 43), anti-apoptosis (44), gene expression regulation (24), Silver-Russell syndrome (45), rheumatoid arthritis (46), atopic dermatitis (47), and T-cell activation (17, 48). Nevertheless, it remains largely unknown regarding the downstream signaling events of Grb7-mediated various functions. In particular, given the role of Grb7 as an adaptor molecule and its SH2 domain mainly interacting with upstream regulators, it will be interesting to identify potential downstream effectors through interacting with the functional GM region or N-terminal proline-rich region.In this report, we identified two tyrosine phosphorylated sites of Grb7 by FAK and deciphered the signaling targets downstream through these phosphorylated tyrosine sites to regulate various cellular functions such as cell migration, proliferation, and survival. In addition, our study sheds light on tyrosine phosphorylation of Grb7 by FAK involved in tumorigenesis.