Abstract
ERBB2 overexpression in human breast cancer leads to invasive carcinoma but the mechanism is not clearly understood. Here we report that TOM1L1 is co-amplified with ERBB2 and defines a subgroup of HER2+/ER+ tumours with early metastatic relapse. TOM1L1 encodes a GAT domain-containing trafficking protein and is a SRC substrate that negatively regulates tyrosine kinase signalling. We demonstrate that TOM1L1 upregulation enhances the invasiveness of ERBB2-transformed cells. This pro-tumoural function does not involve SRC, but implicates membrane-bound membrane-type 1 MMP (MT1-MMP)-dependent activation of invadopodia, membrane protrusions specialized in extracellular matrix degradation. Mechanistically, ERBB2 elicits the indirect phosphorylation of TOM1L1 on Ser321. The phosphorylation event promotes GAT-dependent association of TOM1L1 with the sorting protein TOLLIP and trafficking of the metalloprotease MT1-MMP from endocytic compartments to invadopodia for tumour cell invasion. Collectively, these results show that TOM1L1 is an important element of an ERBB2-driven proteolytic invasive programme and that TOM1L1 amplification potentially enhances the metastatic progression of ERBB2-positive breast cancers.
ERBB2 overexpression in human breast cancer leads to invasion and metastasis. Here the authors report that ERBB2 induces indirect phosphorylation of TOM1L1 that promotes trafficking of the metalloprotease MT1-MMP to invadopodia, which leads to tumour cell invasion.
Genetic and epigenetic alterations in breast cancer cells eventually result in invasive carcinoma. The ERBB2 oncogene (also known as HER2 or neu), which encodes a tyrosine kinase receptor of the EGFR family, is amplified and overexpressed in about 20% of breast tumours. Overexpressed ERBB2 is abnormally concentrated at the plasma membrane, promoting receptor homo-dimerization or hetero-dimerization with additional members of the EGFR family. Dimerized receptors display strong kinase activity and induce oncogenic signalling, leading to malignant cell transformation1. ERBB2 oncogenic potential and cell surface availability have led to the development of targeted anti-ERBB2 antibodies, such as trastuzumab (Herceptin) that has become the standard care for patients with ERBB2-positive breast cancer. However, 50% of these patients respond poorly and/or develop tumour resistance or show strong adverse side effects. Therefore, there is an urgent need to better understand the molecular basis of ERBB2-induced metastatic malignancy for developing new targeted treatments.
The mechanism by which abnormal ERBB2 expression leads to metastatic progression is only partially elucidated. Several components of the invasive programme driven by ERBB2 have been identified and include the transmembrane proteins Integrin beta 4 (ref. 2) and PlexinB1 (ref. 3), small GTPases of the Rho family4,5, microtubules, ACF7 and Memo6,7, miR-21 (ref. 8) and the protein kinase HUNK9. ERBB2-mediated invasion is also strongly coupled to the capacity of tumour cells to induce extracellular matrix (ECM) proteolysis through the activation of urokinase plasminogen activator, lysosomal cathepsins and multi-domain zinc-dependent endopeptidases or matrix metalloproteases (MMPs)10,11,12. Interestingly, membrane-bound membrane-type 1 MMP (MT1-MMP) has emerged as a crucial inducer of tissue invasion and is involved in the rupturing of basement membranes by tumour cells and also in cell invasion through interstitial tissues rich in type-I collagen13. MT1-MMP invasive function is tightly controlled through intracellular trafficking and catalytic activity14. For instance, MT1-MMP is activated by proteolytic cleavage in the trans-Golgi network and partitioned in specialized membrane domains called invadopodia. These F-actin-enriched structures secrete proteases at cell-ECM contact sites for matrix degradation and cell invasion15,16. Yet, the role of MT1-MMP and invadopodia activity in ERBB2-induced cell invasion is largely unknown.
Target of MYB1-like protein 1 (TOM1L1, also known as Srcasm) has been recently identified as a gene relevant to bone metastasis in breast cancer17 and we observed that TOM1L1, which is located on chromosome 17q22, is frequently co-amplified with ERBB2 in breast cancer18, suggesting that TOM1L1 could have a pro-oncogenic function. TOM1L1 is an adaptor protein of the TOM1 family with post-Golgi trafficking and signalling functions. TOM1, TOM1L1 and TOM1L2 proteins include a VHS (Vps27/Hrs/Stam) domain, like Hrs, Stam1, Stam2, GGA1, GGA2 and GGA3. In addition, GGA and TOM1 contain an evolutionary conserved GAT (GGA and TOM1) domain also involved in trafficking functions. The VHS and GAT domains of GGAs mediate protein trafficking between the trans-Golgi network and endosomes through binding to transmembrane cargos and to the small GTPase ADP-ribosylation factor, respectively. On the other hand, the VHS and GAT domains of TOM1 family members19 bind to endosomal sorting proteins, such as TOLLIP (Toll-interacting protein) or ubiquitin in a mutually exclusive manner20,21. TOM1L1 comprises a unique C terminus with several protein interaction motifs, including a SRC-SH3-binding site, a leucine-rich motif with binding affinity for clathrin heavy chain (CHC) and three tyrosine residues that, when phosphorylated by SRC, create binding sites for the SH2-containing signalling proteins GRB2, p85 and members of the SRC family22,23. TOM1L1 participates in EGFR endocytosis for lysosomal degradation through a SRC-dependent and CHC-dependent mechanism24. It also associates with CHC to regulate SRC membrane partitioning required for SRC mitogenic and transforming activity25. In contrast with the observations in human breast cancer, in transgenic mice, Srcasm inhibits Fyn-induced neoplasia via kinase downregulation and modulation of p53 and Notch. All this data support a model in which TOM1L1 engages a SRC-like-dependent mechanism to control tyrosine kinase signalling22,23,24,25.
Here we addressed the contribution of TOM1L1-ERBB2 co-amplification in ERBB2 oncogenic signalling. We show that their co-amplification is associated with worse prognosis in patients with oestrogen receptor-positive (ER+) breast cancer. We next demonstrate that TOM1L1 enhances ERBB2-induced cell invasiveness by promoting invadopodia formation and MT1-MMP trafficking to the plasma membrane. This process is independent from SRC activity, but requires TOM1L1 phosphorylation on Ser321 and association with TOLLIP. Thus, TOM1L1 is an important element of an ERBB2-driven proteolytic invasive programme and TOM1L1 amplification potentially enhances the metastatic progression of ERBB2-positive breast cancers.
Results
TOM1L1 is co-expressed with ERBB2 in breast cancer
We first confirmed that in breast cancer, the ERBB2 locus at 17q12 (37.85 Mb) is frequently co-amplified with loci located at 17q22 (53 Mb) and 17q23 (Fig. 1a)18. Analysis of a set of 402 breast tumours showed that TOM1L1 was the most frequently co-amplified gene with ERBB2 in the 17q22-q23 region (Supplementary Table 1). TOM1L1 gene amplification was associated with TOM1L1 transcript upregulation (Supplementary Table 2). Moreover, in breast cancer samples, TOM1L1 protein expression, assessed by immunohistochemistry (IHC) (Fig. 1b), was significantly associated with both ER (P=0.027) and ERBB2 (P=0.001) expression (Fig. 1c and Supplementary Table 3). Similarly, TOM1L1 protein level evaluated by western blotting was high in five out of seven ERBB2+ cell lines, whereas it was absent or lower in the five ERBB2-negative cell lines we tested (Fig. 1d). Finally, metastasis-free survival was reduced in patients with ERBB2+/ER+ breast cancer in which TOM1L1 was also amplified compared with those without TOM1L1 amplification (patients selected from our previous work26) (Fig. 1e). These results suggest a cooperative effect of ERBB2 and TOM1L1 in ER+ breast tumours and a positive role for TOM1L1 in ERBB2-driven malignancy.
TOM1L1 regulates ERBB2-induced cell invasion
We next investigated TOM1L1 role in breast cancer by manipulating its expression level in ERBB2+/ER+/TOM1L1− SKBR3 cells (by overexpression) and in ERBB2+/ER+/TOM1L1+ BT-474 cells (by short interfering RNA (shRNA)-mediated silencing). TOM1L1 overexpression in this last cell line is linked to its gene amplification (not shown). Modulation of TOM1L1 expression did not have any effect on growth and migration of these breast cancer cells (Supplementary Fig. 1a,b). In contrast, TOM1L1 overexpression in SKBR3 cells increased by four times cell invasion in Boyden chambers and twice in three-dimensional (3D) multicellular spheroid assays compared with mock-transfected cells (Fig. 2a–d). TOM1L1 depletion in BT-474 cells reduced by 4 times cell invasion in Boyden assays and by 1.5 times the surface explored by cells in 3D multicellular spheroid assays compared with cells expressing control shRNA (Fig. 2e–h). TOM1L1 pro-invasive function was associated with a change in migration modes: we observed less single cells and more collective fronts or strands in 3D when TOM1L1 was expressed, behaviour previously described to be protease dependant27. Accordingly, we found that TOM1L1-induced cell invasion was sensitive to proteases inhibition (Fig. 2i and Supplementary Fig. 2c). It was also associated with ERBB2 activity since Lapatinib, a dual EGFR/ERBB2 inhibitor that mainly acts through inhibition of ERBB2 in SKBR3 and BT-474 cells28, also strongly reduced this invasive activity. However, it was largely independent from SRC-like activities (Fig. 2i and Supplementary Fig. 2c). Similar data were obtained using a matrix of collagen 1 from rat tail with intact telopeptides (Supplementary Fig. 2a,b). We next confirmed this data by a structure–function analysis (Fig. 3a). TOM1L1 mutants that cannot bind to SRC (Δlinker/YFPP) or CHC (Δlinker/L401A)25 retained the full capacity to mediate cell invasion (Fig. 3b), suggesting that TOM1L1 uses SRC- and CHC-binding-independent mechanisms for ERBB2-induced cell invasion. Accordingly, TOM1L1 was not tyrosine-phosphorylated in ERBB2+ SKBR3 and BT-474 cells, differently from what was observed in SRC-transformed cells (Fig. 3c)25. Overall, our results suggest that TOM1L1 uses a mechanism independent of tyrosine phosphorylation, SRC and CHC binding to promote cell invasion.
TOM1L1 activity needs interaction with TOLLIP
Deletion of the GAT domain (ΔGAT mutant) abolished TOM1L1 pro-invasive activity in SKBR3 cells (Fig. 3a,b) and in HCC-1954 cells (another ERBB2+/ER+/TOM1L1− breast cancer cell line) (Supplementary Fig. 2d,e). When injected in mammary fat pad of nude mice, none of these cells developed metastases, suggesting that these cells are poorly metastatic in our experimental setting (not shown). Moreover, TOM1L1 overexpression in HCC-1954 cells did not induce metastasis either, suggesting that TOM1L1 alone is not sufficient to promote metastatic progression. However, when injected in the left ventricle, HCC-1954 cells induced detectable metastatic nodules in recipient mice. Interestingly, we observed that HCC-1954 cells that overexpress TOM1L1 produced more rapidly metastases that reached the brain in more animals than mock-transfected HCC-1954 cells (mock) or ΔGAT-expressing HCC-1954 cells (Fig. 3d,e). These findings were confirmed using NIH-3T3 cells transformed with an oncogenic version of ERBB2 (3T3-neu cells) (Supplementary Fig. 3). As before, TOM1L1 increased in vitro and in vivo cell invasion in a GAT- and ERBB2-dependent manner, showing that TOM1L1 role in ERBB2 invasive signalling is conserved and validating this model for further studies (Supplementary Fig. 3). We then looked for factors that interact with TOM1L1-GAT domain and that could be involved in this process. The vesicular trafficking protein TOLLIP was an attractive candidate as it binds to TOM1L1-GAT domain2 and is upregulated in some breast cancers29 and mainly in ERBB2+ breast cancer cell lines (Fig. 3f). In support to this hypothesis, siRNA-mediated TOLLIP depletion inhibited TOM1L1 pro-invasive activity in SKBR3 cells that overexpress TOM1L1 compared with non-silenced cells (Fig. 3g and Supplementary Fig. 4a). TOM1L1 also co-immunoprecipitated with TOLLIP in lysates from SKBR3 cells that overexpress TOM1L1 and this interaction required the TOM1L1-GAT domain and ERBB2 activity (Fig. 3h and Supplementary Fig. 4b,c). Thus, ERBB2 induces cell invasion and metastasis by a novel mechanism that involves TOM1L1 interaction with TOLLIP through its GAT domain.
TOM1L1 regulates invadopodia and MT1-MMP activity
We next characterized the pro-invasive function of TOM1L1 in more detail. As invadopodia lie at the cross-road between cell traffic and invasion, we first investigated these membrane-enriched structures, which are characterized by the presence of F-actin- and cortactin, in ERBB2-transformed cell lines. BT-474 and 3T3-neu cells displayed invadopodia-like structures when plated on matrigel or gelatin (Fig. 4a–c and Supplementary Fig. 5a–e). The invadopodia nature of these structures was confirmed by in situ zymography that showed the overlapping of invadopodia-like structures with degradation holes in the fluorescent gelatin matrix (arrowheads in Fig. 4a,b). In addition, co-localization of MT1-MMP with invadopodia markers, such as p-421 cortactin, was also observed (Supplementary Fig. 5c). TOM1L1 silencing in BT-474 cells indicated that TOM1L1 regulated invadopodia formation (Fig. 4a,b and Supplementary Fig. 5a–e) and activity (Fig. 4a,c and Supplementary Fig. 5d,e). Consistent with a role in cell proteolytic activity, TOM1L1 also regulates MT1-MMP (expression shown in Fig. 4d) peptidic cleavage involved in its maturation (Fig. 4e and Supplementary Fig. 5f). The essential role of MT1-MMP in invadopodia activity was confirmed by the strong reduction of matrigel invasion and migration in collagen matrix on MT1-MMP silencing in BT-474 (Fig. 4f) and 3T3-neu cells (Supplementary Figs 3b and 5g,h). The essential role of ERBB2 activity on these invasive processes was confirmed using Lapatinib treatment (Fig. 4g and Supplementary Fig. 5a,b). Consistent with this data, we also found a correlation between the capacity of ERBB2+ tested tumour cell lines to induce invadopodia formation and a high expression level of ERBB2 and TOM1L1, (Fig. 4h,i). Finally, we checked whether this TOM1L1 invasive role was conserved in breast tumour cells by overexpressing TOM1L1 in the ERBB2- and TOM1L1-negative breast cancer cell line MDA-MB-231 (Supplementary Fig. 6). We found that TOM1L1 overexpression reduced both invasion and invadopodia activity of MDA MB-231 cells (Supplementary Fig. 6b–d), suggesting an opposite role of TOM1L1 on invasive activity of cells that do not express ERBB2 and whose invadopodia activity depends on Src kinases activities. Altogether, these data demonstrate that TOM1L1 regulates the formation of invadopodia of ERBB2+ transformed cells.
TOM1L1 regulates MT1-MMP membrane localization
As MT1-MMP trafficking to invadopodia plays a central role in ECM degradation14,30, we asked whether TOM1L1 mediates this cellular process. By confocal orthogonal and total internal reflection fluorescence (TIRF) microscopy, we found that TOM1L1 expression regulated MT1-MMP localization at the basal gelatin layer (Fig. 5a–c, Supplementary Movie 1). Specifically, this localization was lost in cells in which TOM1L1 was silenced (compared with cells expressing shCtrl). This defect was rescued by expression of mouse TOM1L1 (Fig. 5a,b) and required an intact TOM1L1-GAT domain (Fig. 5a,b), the presence of TOLLIP (Fig. 5d,f) and ERBB2 signalling (Fig. 5d,e). Similar results were obtained in 3T3-neu cells, where TOM1L1 induced peripheral membrane localization of MT1-MMP that was dependent on the presence of the GAT domain and on ERBB2 activity (Supplementary Fig. 7a–d). Consistent with this imaging analysis, TOM1L1 also increased the level of the catalytically active cleaved MT1-MMP isoform at the plasma membrane, while it did not affect ERBB2 membrane expression (Supplementary Fig. 7e). Finally, we found that TOM1L1 also promoted MT1-MMP exocytosis, as revealed by the increased surface accumulation of pHluorin-labelled MT1-MMP in SKBR3 and 3T3-neu cells that overexpress TOM1L1 compared with mock-transfected cells (TIRF analysis, Supplementary Fig. 8). Indeed, fluorescence of the pH-sensitive fluorescent probe pHluorin increases on exocytosis and exposure to the extracellular pH (ref. 30) (Supplementary Fig. 8 and Supplementary Movies 2 and 3). We thus conclude that TOM1L1 promotes membrane partitioning of MT1-MMP for invadopodia activity.
TOM1L1 promotes RAB-7/MT1-MMP endosomes trafficking
We next started investigating the underlying mechanism of MT1-MMP trafficking in ERBB2-transformed cells. Overexpression of TOM1L1 in 3T3-neu cells led to increased long-range bi-directional trafficking of mCherry–MT1-MMP, based on quantification of the average speed, total distance travelled by the vesicles and maximal distance from the point of origin (that is, directionality) (Fig. 6a,b and Supplementary Movie 4). This cellular process involved microtubules, as shown in Supplementary Movie 5, with the use of the microtubule-targeting drug Paclitaxel that inhibits TOM1L1-induced MT1-MMP and RAB-7-containing vesicles trafficking. Indeed, MT1-MMP strongly co-localized with RAB-7 and moved through RAB-7-decorated late endosomes/lysosomes (LE/Ly) (Fig. 6c and Supplementary Movies 5 and 6, left panel). Interestingly, TOM1L1 specifically induced peripheral scattering of RAB-7- and MT1-MMP-containing vesicles, but did not affect the distribution of RAB11- or RAB5-decorated vesicles (Supplementary Fig. 9) or the global LE/Ly trafficking (Fig. 6d,e and Supplementary Movie 6). These data are consistent with a TOM1L1 specific role in the long-range trafficking of RAB-7/MT1-MMP-positive late endosomal compartments. This cellular process also involved TOLLIP because this sorting protein co-localized with RAB-7-containing vesicles (Fig. 7a), recruited TOM1L1 to endosomes in a GAT-dependent manner (Fig. 7b) and strongly co-localized with co-expressed MT1-MMP and TOM1L1, but not with TOM1L1 ΔGAT (Fig. 7c). In addition, TOM1L1 promoted the peripheral distribution of TOLLIP/RAB-7-containing vesicles also in BT-474 cells (Fig. 7d). Altogether, these data support a model where TOLLIP docks TOM1L1 at RAB-7/MT1-MMP-positive endosomes to favour targeting of these endosomes at ECM proteolytic degradation sites.
TOM1L1 phospho-Ser321 regulates interaction with TOLLIP
Our results indicate that TOM1L1 overexpression alone is not sufficient to induce invasion, but requires an ERBB2-dependent signal. We thus studied how ERBB2 signals to TOM1L1. In contrast to SRC, ERBB2 did not induce tyrosine phosphorylation of TOM1L1 (Figs 3c and 8a), suggesting that ERBB2-induced TOM1L1 activation is mediated by another, yet unidentified mechanism. Available phospho-proteomic data (www.phosphosite.org) revealed that TOM1L1 can also be phosphorylated on serine residues, including Ser314 and Ser321 (Ser313 and Ser320 in the mouse sequence). These serine residues are in the TOM1L1 linker region that may behave as a hinge to control TOM1L1 conformation and GAT access to its partners, such as TOLLIP, as described for the related adaptor protein GGA3 (ref. 31). Quantitative phospho-proteomic analysis of ERBB2-induced TOM1L1 phosphorylation in fibroblasts did not detect any tyrosine phosphorylation, but revealed phosphorylation at Ser321 and Ser323. In addition, only Ser321 phosphorylation level was reduced (≈50%) on ERBB2 inhibition by Lapatinib (Fig. 8b and Supplementary Table 4). We thus conclude that ERBB2 induces TOM1L1 phosphorylation at Ser321 via an unidentified Ser/Thr kinase. We next addressed the biological relevance of this phosphorylation on ERBB2-induced TOM1L1 activity. Unlike Ser313 (not found phosphorylated in proteomics and used as control), mutation to Alanine of Ser320 (S320A), the residue corresponding to Ser321 in mouse TOM1L1, reduced TOLLIP binding (Fig. 8c). Furthermore, overexpression of the TOM1L1 S320A mutant reduced cell invasion (Fig. 8d) and ECM degradation in 3T3-neu cells compared with wild-type TOM1L1 (Fig. 8e). Similarly, it could not rescue TOM1L1-silencing defect (in this case localization of MT1-MMP at the basal plasma membrane) (Fig. 8f,g). Conversely, phosphomimetic mutation of Ser320 into Glutamic acid (S320E) increased TOM1L1 interaction with TOLLIP in the ERBB2-negative 293T cell line (Fig. 8c). This phosphomimetic mutant also strongly promoted the peripheral localization and co-localization of TOM1L1 with TOLLIP and MT1-MMP in 3T3-neu cells compared with wild-type TOM1L1 (Fig. 8h). Differently, from wild-type TOM1L1, the localization effect of the S320E TOM1L1 mutant was not affected by ERBB2 kinase inhibition with Lapatinib (Fig. 8h), suggesting that phosphorylation of Ser321 defines the main mechanism by which ERBB2 signals to TOM1L1. Overall, our data are consistent with an indirect ERBB2-induced phosphorylation of TOM1L1 at Ser321 that triggers its GAT-dependent association with TOLLIP to favour MT1-MMP membrane delivery for ECM degradation and invasion (proposed model in Fig. 9).
Discussion
Vesicular trafficking proteins play central roles in the control of cell surface receptor signalling via receptor endocytosis and sorting for lysosomal degradation in normal cells. Consequently, deregulation of the endocytic machinery can promote abnormal receptor signalling that leads to malignant cell transformation1. In support to this model, several components of this biological process display tumour suppressor function, as demonstrated by the original identification of the endosomal protein TSG101 in human breast cancer. Conversely, our study demonstrates a pro-tumoural function for the GAT-containing trafficking protein TOM1L1 in human breast cancer and shows that its pro-oncogenic activity is induced by gene co-amplification with the ERRB2 oncogene. In addition, we have identified one mechanism involved in this process that involves the efficient translocation of MT1-MMP from endosomes to the plasma membrane in invadopodia structures for the promotion of cancer cell invasion. The findings that this TOM1L1 pro-invasive activity is present also in transformed fibroblasts and that TOM1L1 is amplified in other cancer types (www.bioportal.com) suggest that TOM1L1 upregulation may define a more general mechanism of metastatic progression. Interestingly, the GAT-containing protein GGA3 has been recently involved in efficient MET receptor recycling from RAB4-positive endosomes, for the promotion of sustained ERK activity and cell migration32. Moreover, MET endocytic signalling plays a central role in tumorigenesis33. Whether GGA3 plays a role in this malignant process has not been addressed yet, but available genomic data highlighted GGA3 amplification in some human tumours (www.cbioportal.org). We thus anticipate additional pro-tumoural functions of GAT-containing proteins in human cancer. As ERBB2 trafficking is impaired in tumour cells34, it is unlikely that a GGA3-dependent mechanism may apply to TOM1L1. Accordingly, we found a very specific effect of TOM1L1 on cell invasion. This effect seems inconsistent with a global alteration in ERBB2 cell surface abundance and signalling as it would also inhibit ERBB2-induced cell proliferation and migration. Moreover, we did not detect any modification in ERBB2 membrane localization induced by TOM1L1 (Supplementary Fig. 7e). Thus, GAT-containing proteins may participate in cell transformation through several mechanisms.
Our results are also inconsistent with the established negative role of TOM1L1 in SRC-mitogenic signalling and raise the question about the mechanism that governs these opposite functions. One hypothesis involves phosphorylation of TOM1L1 on specific residues. TOM1L1 inhibitory functions could be linked to tyrosine phosphorylation and association with CHC, while its pro-tumoural activity could be dependent on serine phosphorylation and association with TOLLIP. It would be interesting to identify the serine kinase(s) involved in this process. CDC42-binding protein kinase beta, p21-activated protein kinase 4 (ref. 12) and HUNK9 are downstream effectors of ERBB2 that could be interesting candidates. Recently, the atypical protein kinase Cι (PKCι) has been identified as a key regulator of MT1-MMP trafficking in breast cancer35 and could also be an interesting candidate. It is not known why TOM1L1 is not tyrosine-phosphorylated in ERBB2-positive cancer cells. One hypothesis is that ERBB2 might not require SRC-like activity for invasive signalling. Actually, the role of SRC family kinases in ERBB2 signalling is controversial36 and constitutive ERBB2 kinase activity may overcome, at least in part, the need of SRC signalling by direct phosphorylation of its downstream substrates. For example, cortactin may be a direct ERBB2 substrate for the promotion of invasive structures, such as invadopodia37.
Our report also shows that ERBB2 expression promotes invadopodia formation in breast cancer cells. This is in accordance with data demonstrating that proteolysis is required for ERBB2 invasive signalling10,11,12. Specifically, the extracellular activity of cysteine cathepsins is required for ERBB2-driven invasion12. As these enzymes are localized in lysosomes, exocytosis might be involved in the process connected with invadopodia formation38. TOM1L1 favours ERBB2 invasive signalling by amplifying MT1-MMP trafficking to the plasma membrane via interaction with TOLLIP in a RAB-7-positive LE compartment. This is in accordance with previous data showing co-localization of MT1-MMP with VAMP7, a transmembrane protein that localizes to LE/Ly39, and with two recent report showing MT1-MMP trafficking from RAB-7-positive LE/Ly to invadopodia39,40. As already described for TOM1 (ref. 41), we found that TOLLIP regulates TOM1L1 docking to RAB-7- and MT1-MMP-positive endosomes and then promotes MT1-MMP trafficking to invadopodia. In this model, TOM1L1 could function in the same way as its homologue TOM1 (ref. 42). Indeed, TOM1 associates with the actin-based molecular motor Myosin IV, which then delivers TOM1-positive endosomal membranes to autophagosomes by docking to optineurin, NDP52 or T6BP, thus facilitating autophagosome maturation. Here we have not identified the molecular motor involved in TOM1L1-induced MT1-MMP trafficking, but proteins from the kinesin family could be involved in this process. Indeed, ERBB2 regulates microtubule dynamics6,7 and it was recently shown that MT1-MMP transport along microtubules is regulated by the kinesins KIF5B and KIF3A/KIF3B in leucocytes43. TOM1L1 and TOLLIP are both ubiquitin-binding proteins and TOM1L1 is a member of the alternate ESCRT 0 complex that sorts ubiquitinated proteins from LE to Ly19. As MT1-MMP can be mono-ubiquitinated44, this post-translational process might also play a role in this TOM1L1 trafficking function.
Our results show that ERBB2 and TOM1L1 are frequently co-amplified and define a subgroup of patients with ER-positive cancer with worse prognosis. Crosstalk between ER, ERBB2 and invasive signalling is well-known. For example, oestrogen signalling inhibits the invasive phenotype by repressing RELB and its target BCL2 (ref. 45). Conversely, cell transformation by ERBB2 can affect ER signalling as it induces tamoxifen resistance46. Co-amplification of TOM1L1 and ERBB2 significantly reduces survival of patients with ER-positive cancers. This suggests a potential function of TOM1L1 in a positive selection process, possibly through induction of epithelial-to-mesenchymal transition that is inhibited by ER. Thus, it would be interesting to test whether TOM1L1 might affect the ERBB2-ER crosstalk and the resulting signalling balance.
In conclusion, we show that ERBB2 exploits the trafficking function of TOM1L1 to promote cancer cell invasion. These results highlight that regulators of protein trafficking are important elements of oncogenic signalling induced by tyrosine kinases. Moreover, the amplification of the corresponding genes represents a novel mechanism to promote metastatic progression. The targeting of this signalling pathway may be of therapeutic value in this kind of cancers.
Methods
Primary breast tumour samples
A set of 402 primary breast tumour DNA samples and 84 RNA samples purified from a subset of the 402 tumours were obtained from the Pathology Department of the Montpellier Cancer Hospital (ICM) (France). This study has been approved by the institutional review board CORT (Comité de Recherche Translationelle) of the ICM hospital and informed consent was obtained from the patients. This series of 402 breast tumours included invasive ductal carcinomas (67.7%), invasive lobular carcinomas (19.7%), invasive adenocarcinomas (7%) and other histological types (5.5%). Grading according to the Scarff-Bloom and Richardson classification was as follows: 10.1% grade 1, 53.8% grade 2 and 36.1% grade 3. The patients' mean age was 57.5 years. Radioligand-binding assay indicated that 69.7% of cancers were ER+ (≥10 fmol mg−1 of protein) and 71.9% progesterone receptor positive (PR+).
Array-CGH
Array-CGH data corresponded to the data set described in ref. 18. Gpr files were loaded in the Nexus 6.0 software (Biodiscovery, El Segundo, CA, USA) to perform array-CGH profile analysis. Analysis settings for data segmentation and calling were as follows: significant threshold for the Rank Segmentation algorithm: 0.005, Max Continuous Probe spacing: 6,000, Min Number of probes per segment: 6, gain: 0.25, loss: −0.25. Nexus 6.0 was used to calculate and draw individual profiles, frequency plots, Kaplan–Meier plots and log-rank tests.
Real-time quantitative PCR
Reverse transcription was performed using 1 μg of total RNA that had been pre-treated with RNase-free DNase (Promega, France), the SuperScript II RT and 250 ng of random hexamers (Invitrogen, France). Quantitative PCR reactions were carried out with an ABI Prism 7000 instrument (Applied Biosystems, France) in a final volume of 15 μl following the manufacturer's conditions using SYBR Green as a detector. Primers (see Supplementary Table 5 for sequences) were designed with the assistance of the Primer Express software (Applied Biosystems). Each gene was quantified at least twice. Standard curves were determined for each gene by using serial dilutions of the same pool of complementary DNA (cDNA) and/or genomic DNA. Relative quantities were calculated by using these curves. The relative expression level of each target gene was normalized to the 28S endogenous reference. RNA variations were then determined by calculating the ratio of the normalized value of each gene to the normalized values obtained from six normal breast RNA samples. Ratios exceeding 1.8 in tumour samples were considered as overexpression and ratios <0.55 in tumours as underexpression. Similarly, the relative genomic level of each target gene was normalized to the median of the reference genes ALB/DCK/GAPDH and copy number variations were determined by calculating the ratio between the normalized value of each sample and the median value of all tumours. The same thresholds as before were applied after checking ALB, DCK and GAPDH variations.
Immunohistochemistry
IHC analyses were performed using 3-μm-thin tissue microarray (TMA) sections including 108 breast tumours encompassing the 4 major subtypes (ER+HER2+, ER+HER2−, ER−HER2+ and ER−HER2−). Formalin-fixed paraffin-embedded breast tumours were sampled in triplicate tissue cores (0.6 mm in diameter), taken from three different malignant areas, using a manual arraying instrument (MTA, Beecher Instrument, USA) and as described47. Following antigen retrieval with the K8004 buffer (Dako, Denmark), TMA sections were incubated with monoclonal antibodies against TOM1L1 on an Autostainer Link48 platform (Dako) using the Flex+ system for signal amplification and DAB (diaminobenzidine tetrahydrochloride) as chromogen. Slides were covered and observed under a light microscope. Each spot in the TMA sections was evaluated for staining intensity (categorized as 0 (absent), 1 (weak), 2 (moderate), or 3 (strong), see Fig. 1) and for the percentage of marked cells (ranging from 0 to 100%). Data were then consolidated as the mean of the triplicate values. Finally, a Quick Score (QS), ranging from 0 to 300, was defined by multiplying the intensity grade by the percentage of stained nuclei. This overall score for each tumour was further simplified by dichotomizing it to negative (QS<20) or positive (QS≥20).
Antibodies
Polyclonal anti-TOM1L1 (1: 2,000) antibodies were as described in ref. 23. The monoclonal anti-TOM1L1 antibody was from Covalab (Lyon, France). Antibodies against ERBB2 (1:1,000), p-CortactinY421 (1:500), p-AKTS473 (1:1,000), AKT (1:1,000), P44/P42 MAPK (1:1,000) and p-P44/P42 MAPK (1:1,000) were from Cell Signaling Technology (Danvers, USA). Antibody against Cortactin (1:500) was from Millipore (Billeria, USA) and antibodies against MT1-MMP (1:100 for if or 1:500 for immunoblotting) and TOLLIP (1:200) from Abcam (Cambridge, UK). Anti-tubulin (1:2,000), HA-tag (1:4,000) and p-Tyr 4G10 (1:50) antibodies were from N. Morin, C. Gauthier-Rouvière and P. Mangeat, respectively (CRBM, Montpellier, France). Anti-rabbit IgG-HRP (1:5,000) and anti-mouse IgG-HRP (1:5,000) were from GE Healthcare (Fairfield, USA). Anti-rabbit and anti-mouse IgG coupled to Alexa-Fluor 488, Alexa-Fluor 594 and Alexa-Fluor 405 (1:1,000) were from Life Technologies (Carlsbad, USA). Alexa-Fluor 594-Phalloidin (Life Technologies) was used to visualize F-actin. GFP-Nanotrap technology antibodies were from Chromotek (Planegg-Martinsried, Germany).
Cell culture and inhibitors
All cell lines were obtained from the American Type Culture Collection (ATCC, Rockville, MD, USA) and cultured in Dulbecco's modified Eagle's medium (DMEM) or RPMI 1,640 medium supplemented with 10% foetal calf serum (FCS), glutamine and antibiotics (gentamicin, penicillin and streptomycin) at 37 °C in a humidified 5% CO2 atmosphere. Stable cell lines were obtained by selection with 0.5–1 μg ml−1 puromycin or 200 μg ml−1 hygromycin B. Cell culture reagents were from Life Technologies. For inhibitor assays, cells were treated with 5 μM SU6656 (Merck-Millipore), 1 μM Lapatinib (Merck-Millipore), 1 μM AG879 (Sigma-Aldrich, Saint-Louis, USA), 12.5 μM GM6001 (Merck-Millipore) and 2 μM Paclitaxel (Sigma-Aldrich) for 2–3 h.
Transfections and retroviral infections
Transient transfections were performed with the jetPEI reagent (Polypus Tranfection, Illkirch, France) (cDNA vectors) and with Lipofectamine Plus reagent (Invitrogen, Carlsbad, USA) (siRNAs), according to the manufacturer's instructions. Cells were transfected 48 h before imaging or lysis. Retroviral infection procedures were as described in ref. 25.
DNA constructs and mutagenesis
pBABE constructs encoding murine TOM1L1, TOM1L1-ΔLinker (deletion of amino acids 292–386) TOM1L1-ΔLinker/L401A, TOM1L1-ΔLinker/YFPP (R419D/P421A/P424A/Y457F), TOM1L1-ΔC-ter (deletion of amino acids 388–474), TOM1L1-ΔGAT (deletion of amino acids 157–284), TOM1L1-ΔVHS (deletion of amino acids 1–153), TOM1L1 Ser313A, TOM1L1 Ser320A and TOM1L1 Ser320E were obtained by PCR using the QuikChange Site-Directed Mutagenesis System (Stratagene, La Jolla, USA). Mouse and human green fluorescent protein (GFP)–TOM1L1, GFP–ΔGAT, GFP–Ser320A and GFP–Ser320E were obtained by subcloning TOM1L1 constructs in pEGFP. Constructs encoding HA–TOLLIP (pcDNA3), mCherry–MT1-MMP (pcDNA3) and MT1-MMP pHluorin, Luciferase (pcDNA3.1) were from E. Lemichez, P. Chavrier and P. Balaguer, respectively. GFP–RAB-7, GFP-Rab-5 and GFP–RAB11 (pEGFP) were from C. Gauthier-Rouvière.
shRNA and siRNA duplexes
Mock or short hairpin RNA (shRNA) specific to human TOM1L1 were cloned in the pSiren retroviral vector (mock: 5′-GACACTCGGTAGTCTATAC-3′; sh-TOM1L1-1: 5′-ACAAGAGACTGCTCAAAT-3′ or sh-TOM1L1-2: 5′-CAGAAGGAAGCCAATA-3′). The siRNA specific for human TOLLIP (sequence: 5′-AAGTTGGCCAAGAATTACGGCdTdT-3′) was designed with the Qiagen design tool and obtained from Qiagen (Venlo, Netherlands). Control and siRNA specific for mouse TOLLIP, mouse and human MT1-MMP were from GE Healthcare (Dharmacon), Fairfield, USA.
Migration and invasion assays
Cell migration and invasion assays were performed as described in ref. 48. Briefly, (20,000 cells were used for migration assays) and 50,000–80,000 for invasion assays. Cells were fixed after 45 min (migration) or 24–48 h (invasion) and counted.
Spheroid invasion assay
Spheroid invasion assay was done essentially as described in ref. 49. In brief, 1,000 cells were plated in medium containing 2.4 mg ml−1 methylcellulose in a well of a 96-well plate with round bottom and incubated for 24 h to make spheroids. Then, spheroids were embedded in a mixture (2:1) of neutralized bovine collagen I (2 mg ml−1) and matrigel (3 mg ml−1) or in neutralized rat tail intact telopeptides collagen I (1.7 mg ml−1) and placed in a well of a 96-well plate flat bottom covered with 50 μl of neutralized bovine collagen I or rat tail collagen 1, respectively. Invasion was followed by time-lapse microscopy using an inverted fluorescent microscope Leica DMIRE2 equipped with a Leica × 10 C PLAN 0.22 LMC in DMEM/10% FCS under CO2 and temperature controls every hour for 24–48 h (3T3 cells), 72–75 h (SKBR3) and 75 h–5 days (BT-474). Invasive fronts were defined as three to six layers of cells progressing into the matrix.
Invadopodia gelatin degradation assay
Invadopodia degradation assays were performed as described48,50. Briefly, coverslips were incubated with 50 μg ml−1 poly-D-lysine, then with 0.5% glutaraldehyde and then inverted on a 20 μl drop of gelatin+Oregon Green 488–conjugated gelatin (Life technologies) (10:1) mixture. Gelatin matrix were then quenched with 5 mg ml−1 sodium borohydride and rehydrated in complete growth medium before use.
Wide-field and confocal imaging
Wide-field imaging was used to follow invadopodia gelatin degradation assays using Zeiss AxioimagerZ1 or Zeiss AxioimagerZ2 upright microscopes with Zeiss × 10 Plan Apo 0.45, Zeiss × 10 EC Plan Neofluar 0.3, Zeiss × 40 EC Plan NeofluaR 1.3 oil DIC or Zeiss × 63 Plan-Apochromat 1.4 oil objectives. Image acquisition and quantification of degradation surface areas were carried out using Metamorph. For confocal imaging, cells were cultured on gelatin-coated coverslips for 3 h and imaged using confocal Leica SP5-SMD or confocal Zeiss LSM780 multi-photon microscopes and × 63/1.4 Oil DIC Plan-Apo or Leica × 63/1.4 Oil HCX PL APO CS objectives. Images were acquired using the LAS-AF (Leica, Wetzlar, Germany) or Zeiss Zen 2010 (Zeiss, Oberkochen, Germany) softwares. Brightness, contrast and median filter (0.5 to 1 pixel radius) adjustments of images were realized using the imageJ software. Fluorescence quantifications in Figs 5b,e and 8g were done using imageJ software and the corrected cell fluorescence formula (CCF=integrated density−(area of selected cell × mean fluorescence of background readings)51. For live confocal imaging, cells were cultured on gelatin-coated glass bottom dishes (Ibidi, Plannegg Martinsried, Germany) for 2 h. Cells were imaged in a humidified atmosphere of 5% CO2 at 37 °C using a confocal Leica SP5-SMD microscope with Leica × 63/1.4 Oil HCX PL APO CS or Leica × 40/1.3 Oil HCX PL APO CS objectives. Rapid acquisition was done by using a high-speed resonant scanner (8,000 Hz) (Leica) to avoid photo-bleaching and toxicity. Imaging of pHluorin-tagged MT1-MMP (Supplementary Movies 2 and 3) was done using a homemade TIRF set-up based on a Zeiss Axiovert 200 inverted microscope, equipped with an alpha Plan-Fluar × 100/1.45 NA objective (Zeiss) and with a 488 nm Argon ion blue laser (Spectra physics, Santa Clara, USA). Fluorescence signals were collected through the same objective, passed through a filter cube containing a dichroic mirror transmitting the 510 wavelengths (Chroma, Vermont, USA) and imaged onto an EM-CCD camera (Andor iXon, Belfast, Ireland). The laser power was controlled by an acoustic–optic tunable filter. The camera exposure time used was 100 ms. Movies were reconstructed using ImageJ.
Endosomes and lysosomes tracking assay
Cells expressing mCherry–MT1-MMP or labelled with 50 nM LysoTracker-Red (Life Technologies) were plated on gelatin-coated glass-bottom dishes and imaged using a Nikon TE Eclipse microscope with a Nikon × 100 PL APO VC 1.4 oil objective or a confocal Leica SP5-SMD with a Leica × 63/1.4 Oil HCX PL APO CS objectives. Images were taken every 230 ms for 1 min. mCherry–MT1-MMP endosomes or LysoTracker-labelled lysosomes were tracked using 15 × 15 pixel and 25 × 25 pixel research boxes (Metamorph ‘Track object' function). Endosomes 114 (3T3-neu mock), 202 (3T3-neu TOM1L1), 101 (3T3-neuΔGAT), 108 (3T3-neu TOM1L1 ctrl-siRNA) and 112 (3T3-neu TOM1L1 TOLLIP siRNA) were tracked in a minimum of 10 different cells. For lysosome tracking, ≈160 different lysosomes in a minimum of 5 different cells per condition were tracked. Speed (μm s−1), distance (μm) and maximal distances from the origin point (that is, directionality) (μm) were recorded. The endosome movement representations were done using the Chemotaxis and Migration Tool 2.0 software (Ibidi).
Standard proliferation assay
Cell proliferation was measured in vitro using the Sulforhodamine B assay for cytotoxicity screening (Sigma-Aldrich). Briefly, 50,000 cells per well were seeded in 24-well plates with 2% FCS medium and then fixed every day (during 4 days) in 2 × 6.1 N TCA solution at 4 °C for 1 h. Cell proliferation was evaluated by protein labelling with 0.4% Sulforhodamine B solution and optical density reading at 490 nm.
Biochemical assays
Immunoprecipitation experiments and western blotting were performed as described in ref. 5. Briefly, cells were rinsed twice in PBS and scraped in 2 × lysis buffer containing 1% Triton X-100, 10 mM Tris-HCl (pH 7.5), 150 mM NaCl, 5 mM EDTA, 75 U ml−1 aprotinin and 1 mM vanadate. Immunoprecipitations were done using 800 μg–1 mg protein extracts and specific antibodies; 20–50 μg proteins were used as whole cell lysate (WCL). Biotinylation of cell surface ERBB2 and MT1-MMP was done as described in ref. 52. Immunoprecipitates and WCL were separated on 7.5/9/10% SDS–PAGE gels and transferred onto Immobilon membranes (Millipore Molsheim, France). Detection was performed using the ECL System (GE Healthcare). Larger images of all immunoblots shown in the main article are included in Supplementary Fig. 10.
Experimental brain and bone metastasis assay
All procedures were performed in accordance with the National Committee of Ethical Thinking on Animal Experimentation, according to protocols approved by the Languedoc Roussillon Animal Care and Use Committee (registration number: CEEA-LR-12072) in an accredited establishment (Agreement No. C34-172-27). Intracardiac injection and bioluminescence detection were performed as in ref. 53. Briefly, 0.5 × 106 neu-NIH-3T3 cells or 1 × 105 HCC-1954 cells in 50 μl of sterile Dulbecco PBS without Ca2+ and Mg2+ were injected in the heart left ventricle of 6-week-old female BALB/c nude or athymic mice, respectively (Harlan Laboratories, Le Malourlet, France). Mice were anesthetized with 2% isofluorane/air mixture. A total of 12 animals per cell line (3T3-neu mock, 3T3-neu TOM1L1 and 3T3-neu ΔGAT cells; HCC-1954 mock, HCC-1954 TOM1L1 and HCC-1954 ΔGAT cells) were used in two independent experiments. For bioluminescence detection, mice were anesthetized with a 2% isofluorane/air mixture and a single dose of 150 mg kg−1 D-luciferin (Promega, Madison, USA) in PBS was administered intraperitoneally. For photon flux counting, a charge-coupled device camera system with a nose-cone isofluorane delivery system and heated stage for maintaining body temperature were used. Imaging was completed between 5 and 10 min after luciferin injection. Results were analysed after 1–5 min of exposure using a Xenogen IVIS Lumina calliper CCD camera coupled to the Living Image Acquisition and Analysis software (Caliper, Kopkinton, USA). Signal intensity was quantified for the whole animal and for distal metastases in head and legs detected by photon flux. For ex vivo imaging, mice were killed immediately after luciferin injection and in vivo imaging and then dissected to image brain, legs, heart (as a cell injection control), lungs and ribs (not shown).
SILAC and phospho-proteomic analysis
SILAC (13C6 15N4-Arg and 13C6 15N2-Lys as heavy amino acids) and tryptic digestion were performed essentially as previously described in ref. 54. Cells were transfected with 7 μg of the GFP–hTOM1L1 construct 2 days before lysis and incubated with 1 μM Lapatinib 3 h before lysis (the first time in light culture conditions and the second time in heavy culture conditions for biological replicates). GFP–hTOM1L1 was purified using the GFP-Nanotrap technology for efficient immunoprecipitation specificity and to avoid the presence of immunoglobulin heavy chains in samples. Immunoprecipitates were separated on SDS–PAGE gels, and trypsin-digested samples obtained from GFP–hTOM1L1 cut gel slices were analysed essentially as described in ref. 53. Briefly, samples were analysed using nanoHPLC (Ultimate 3000, Dionex)/nanoelectrospray ionization on an orbitrap mass spectrometer (LTQ-Orbitrap XL, Thermo Fischer scientific). Sample desalting and pre-concentration were carried out online using a Pepmapper column (0.3 × 10 mm, Dionex). A gradient consisting of 0−40% B for 60 min, 40−80% B for 15 min (A=0.1% formic acid, 2% acetonitrile in water; B=0.1% formic acid in acetonitrile) at 300 nl min−1 was used to elute peptides from the Pepmap capillary (0.075 × 150 mm) reverse-phase column. Spectra were recorded with the Xcalibur 2.0.7 software (Thermo Fischer scientific). Spectral data were analysed using the MaxQuant 1.3.0.5 software. Databases used were: CPS_mouse_2012_10 and human with the following modifications: Oxidation (M), Carbamidomethylation (C), SILAC modifications and Phosphorylation (STY).
Statistics
Most results are presented as the mean±s.e.m. Variance analyses were systematically carried out for three or more sample conditions and mean values were compared pair-to-pair with the Student's t-test using the Prism software (GraphPad Software, La Jolla, USA). For most experiments, significance threshold was fixed at P value≤0.05. For endosomal tracking experiments, as the values were not normally distributed (Shapiro–Wilk test), the Kruskall–Wallis test was used for variance analysis and the Mann–Whitney test for pair-to-pair comparisons. For the Kaplan–Meier curve representing the overall survival of injected mice, statistical analysis was performed using the Log-rank (Mantel–Cox) test. For Array-CGH relapse-free analysis, statistical analyses were performed with the EpiInfo 6.04 software package from the Center for Disease Control and Prevention (Atlanta, USA) for classical χ2-tests and with the Stata 9.0 software package (StataCorp LP, College Station, USA) for survival analysis. Relapse-free survival was defined as the time from surgery to the first local or distant relapse. Contralateral tumours were also considered as a recurrence. For immunohistochemical analysis, associations between the expression of TOM1L1 and ER or ERBB2 were investigated using the Fischer's test.
Additional information
How to cite this article: Chevalier, C. et al. TOM1L1 drives membrane delivery of MT1-MMP to promote ERBB2-induced breast cancer cell invasion. Nat. Commun. 7:10765 doi: 10.1038/ncomms10765 (2016).
Supplementary Material
Acknowledgments
We thank D. Birnbaum for initial immunohistochemistry studies and critical reading of the manuscript; S.A. Courtneidge, E. Lemichez, P. Chavrier, M.W. McCaffrey, P. Balaguer, C. Gauthier-Rouvière, S. Charasse, N. Morin, P. Mangeat and A. Choquet for reagents; A. Sirvent, R. Bras-Goncalves, M. Busson and I. Ait-Arsa, S. Thuault and D. Planchon for technical support and advices and M. Block for helpful discussions. We are also grateful to Chantal Cazevieille for her technical assistance and interpreting data concerning ultrastructural evaluation. (Hôpital St Eloi, Bâtiment INM, COMET, Plateau de microscopie électronique, plateforme Montpellier RIO Imaging, 80 Rue Augustin Fliche BP 7410334091 Montpellier cedex 5). We also thank the Réseau d'Histologie Expérimentale de Montpellier histology facility and more precisely Yoan Buscail for autopsy, processing of our animal tissues and immunostainings.This work was supported by INCa, La Ligue Contre le Cancer (Labellisation Ligue 2014), CNRS and the University of Montpellier. S.R. and C.B. are INSERM investigators.
Footnotes
Author contributions All authors contributed extensively to the work presented in this paper. C.C. acquired data for Figs 1–8, Supplementary Figs 3–5, 7 and 9 and Supplementary Movies 1, 4, 5 and 6. G.C. initiated the project's data acquisition and acquired data for Figs 2 and 3 and Supplementary Figs 1 and 3. S.D. acquired data for Figs 2 and 3 and Supplementary Figs 2, 3 and 6. H.T. acquired data for Supplementary Fig. 5 and N.R. for Fig. 2. L.F. and P.-E.M. acquired data for Fig. 5 and Supplementary Movies 2 and 3. S.U. acquired data for Fig. 8 and Supplementary Table 4. L.L., B.O., F.B.-M. and E.L.-C. acquired data for Fig. 1 and Supplementary Tables 1–3. C.B. acquired data for Figs 2, 4, 5, 7 and 8, Supplementary Figs 2, 3, 6 and 8 and Supplementary Movies 2 and 3. V.S. and V.G. contributed by providing with tools. C.C., S.R. and C.B. wrote the paper with the help of G.C., N.R. and C.T. S.R. and C.B. supervised the project.
References
- Harari D. & Yarden Y. Molecular mechanisms underlying ErbB2/HER2 action in breast cancer. Oncogene 19, 6102–6114 (2000). [DOI] [PubMed] [Google Scholar]
- Guo W. et al. Beta 4 integrin amplifies ErbB2 signalling to promote mammary tumourigenesis. Cell 126, 489–502 (2006). [DOI] [PubMed] [Google Scholar]
- Worzfeld T. et al. ErbB-2 signals through Plexin-B1 to promote breast cancer metastasis. J. Clin. Invest. 122, 1296–1305 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson E. et al. HER2/ErbB2-induced breast cancer cell migration and invasion require p120 catenin activation of Rac1 and Cdc42. J. Biol. Chem. 285, 29491–29501 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zaoui K., Honoré S., Isnardon D., Braguer D. & Badache A. Memo-RhoA-mDia1 signalling controls microtubules, the actin network, and adhesion site formation in migrating cells. J. Cell Biol. 183, 401–408 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marone R. et al. Memo mediates ErbB2-driven cell motility. Nat. Cell Biol. 6, 515–522 (2004). [DOI] [PubMed] [Google Scholar]
- Zaoui K., Benseddik K., Daou P., Salaün D. & Badache A. ErbB2 receptor controls microtubules capture by recruiting ACF7 to the plasma membrane of migrating cells. Proc. Natl Acad. Sci. USA 107, 18517–18522 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang T. H. et al. Upregulation of miR-21 by HER2/neusignalling promotes cell invasion. J. Biol. Chem. 284, 18515–18524 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yeh E. S. et al. Hunk is required for HER2/neu-induced mammary tumourigenesis. J. Clin. Invest. 121, 866–879 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bosc D. G., Goueli B. S. & Janknecht R. HER2/Neu-mediated activation of the ETS transcription factor ER81 and its target gene MMP-1. Oncogene 20, 6215–6224 (2001). [DOI] [PubMed] [Google Scholar]
- Yong H. Y., Kim I. Y., Kim J. S. & Moon A. ErbB2-enhanced invasiveness of H-Ras MCF10A breast cells requires MMP-13 and uPA upregulation via p38 MAPK signalling. Int. J. Oncol. 36, 501–507 (2010). [PubMed] [Google Scholar]
- Rafn B. et al. ErbB2-driven breast cancer cell invasion depends on a complex signalling network activating myeloid zinc finger-1-dependent cathepsin B expression. Mol. Cell 45, 764–776 (2012). [DOI] [PubMed] [Google Scholar]
- Seiki M. Membrane-type 1 matrix metalloproteinase: a key enzyme for tumour invasion. Cancer Lett. 194, 1–11 (2003). [DOI] [PubMed] [Google Scholar]
- Poincloux R., Lizarraga F. & Chavrier P. Matrix invasion by tumour cells: a focus on MT1-MMP trafficking to invadopodia. J. Cell Sci. 122, 3015–3024 (2009). [DOI] [PubMed] [Google Scholar]
- Murphy D. A. & Courtneidge S. A. The 'ins' and 'outs' of podosomes and invadopodia: characteristics, formation and function. Nat. Rev. Mol. Cell Biol. 12, 413–426 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bravo-Cordero J. J., Hodgson L. & Condeelis J. Directed cell invasion and migration during metastasis. Curr. Opin. Cell Biol. 24, 277–283 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smid M. et al. Genes associated with breast cancer metastatic to bone. J. Clin. Oncol. 24, 2261–2267 (2006). [DOI] [PubMed] [Google Scholar]
- Orsetti B. et al. Genomic and expression profiling of chromosome 17 in breast cancer reveals complex patterns of alterations and novel candidate genes. Cancer Res. 64, 6453–6460 (2004). [DOI] [PubMed] [Google Scholar]
- Wang T., Liu N. S., Seet L. F. & Hong W. The emerging role of VHS domain-containing Tom1, Tom1L1 and Tom1L2 in membrane trafficking. Traffic 11, 1119–1128 (2010). [DOI] [PubMed] [Google Scholar]
- Katoh Y. et al. Tollip and Tom1 form a complex and recruit ubiquitin-conjugated proteins onto early endosomes. J. Biol. Chem. 279, 24435–24443 (2004). [DOI] [PubMed] [Google Scholar]
- Shields S. B. & Piper R. C. How ubiquitin functions with ESCRTs. Traffic 12, 1306–1317 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seykora J. T., Mei L., Dotto G. P. & Stein P. L. Srcasm: a novel Src activating and signalling molecule. J. Biol. Chem. 277, 2812–2822 (2002). [DOI] [PubMed] [Google Scholar]
- Franco M. et al. The adaptor protein Tom1L1 is a negative regulator of Src mitogenic signalling induced by growth factors. Mol. Cell. Biol. 26, 1932–1947 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu N. S., Loo L. S., Loh E., Seet L. F. & Hong W. Participation of Tom1L1 in EGF-stimulated endocytosis of EGF receptor. EMBO J. 28, 3485–3499 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Collin G., Franco M., Simon V., Benistant C. & Roche S. The Tom1L1-clathrin heavy chain complex regulates membrane partitioning of the tyrosine kinase Src required for mitogenic and transforming activities. Mol. Cell. Biol. 27, 7631–7640 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guedj M. L. et al. A refined molecular taxomony of breast cancer. Oncogene 31, 1196–11206 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wolf K. et al. Multi-step pericellular proteolysis controls the transition from individual to collective cancer cell invasion. Nat. Cell Biol. 9, 893–904 (2007). [DOI] [PubMed] [Google Scholar]
- Zhang D. et al. Activity of lapatinib is independent of EGFR expression level in HER2-overexpressing breast cancer cells. Mol. Cancer Ther. 7, 1846–1850 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen Y. et al. Differential expression of novel tyrosine kinase substrates during breast cancer development. Mol. Cell. Proteomics 6, 2072–2087 (2007). [DOI] [PubMed] [Google Scholar]
- Monteiro P. et al. Endosomal WASH and exocyst complexes control exocytosis of MT1-MMP at invadopodia. J. Cell Biol. 203, 1063–1079 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kametaka S., Mattera R. & Bonifacino J. S. Epidermal growth factor-dependent phosphorylation of the GGA3 adaptor protein regulates its recruitment to membranes. Mol. Cell Biol. 18, 7988–8000 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parachoniak C. A., Luo Y., Abella J. V., Keen J. H. & Park M. GGA3 functions as a switch to promote Met receptor recycling, essential for sustained ERK and cell migration. Dev. Cell 20, 751–763 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Joffre C. et al. A direct role for Met endocytosis in tumorigenesis. Nat. Cell Biol. 13, 827–837 (2011). [DOI] [PubMed] [Google Scholar]
- Sorkin A., Di Fiore P. P. & Carpenter G. The carboxyl terminus of epidermal growth factor receptor/erbB-2 chimerae is internalization impaired. Oncogene 8, 3021–3028 (1993). [PubMed] [Google Scholar]
- Rossé C. et al. Control of MT1-MMP transport by atypical PKC during breast-cancer progression. Proc. Natl Acad. Sci. USA 111, E1872–E1879 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaminski R. et al. Role of SRC kinases in Neu-induced tumourigenesis: challenging the paradigm using Csk homologous kinase transgenic mice. Cancer Res. 66, 5757–5762 (2006). [DOI] [PubMed] [Google Scholar]
- Garcia-Castillo J. et al. HER2 carboxyl-terminal fragments regulate cell migration and cortactin phosphorylation. J. Biol. Chem. 284, 25302–25313 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tu C. et al. Lysosomal cathepsin B participates in the podosome-mediated extracellular matrix degradation and invasion via secreted lysosomes in v-Src fibroblasts. Cancer Res. 68, 9147–9156 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Steffen A. et al. MT1-MMP-dependent invasion is regulated by TI-VAMP/VAMP7. Curr. Biol. 18, 926–931 (2008). [DOI] [PubMed] [Google Scholar]
- Yu X. et al. N-WASP coordinates the delivery and F-actin-mediated capture of MT1-MMP at invasive pseudopods. J. Cell Biol. 199, 527–544 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katoh Y., Imakagura H., Futatsumori M. & Nakayama K. Recruitment of clathrin onto endosomes by the Tom1-Tollip complex. Biochem. Biophys. Res. Commun. 341, 143–149 (2006). [DOI] [PubMed] [Google Scholar]
- Tumbarello D. A. et al. Autophagy receptors link myosin VI to autophagosomes to mediate Tom1-dependent autophagosome maturation and fusion with the lysosome. Nat. Cell Biol. 14, 1024–1035 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wiesner C., Faix J., Himmel M., Bentzien F. & Linder S. KIF5B and KIF3A/KIF3B kinesins drive MT1-MMP surface exposure, CD44 shedding, and extracellular matrix degradation in primary macrophages. Blood 116, 1559–1569 (2010). [DOI] [PubMed] [Google Scholar]
- Eisenach P. A., de Sampaio P. C., Murphy G. & Roghi C. Membrane type 1 matrix metalloproteinase (MT1-MMP) ubiquitination at Lys581 increases cellular invasion through type I collagen. J. Biol. Chem. 287, 11533–11545 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang X. et al. Oestrogen signalling inhibits invasive phenotype by repressing RelB and its target BCL2. Nat. Cell Biol. 9, 470–478 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Massarweh S. et al. Tamoxifen resistance in breast tumours is driven by growth factor receptor signalling with repression of classic estrogen receptor genomic function. Cancer Res. 68, 826–833 (2008). [DOI] [PubMed] [Google Scholar]
- Bibeau F. et al. Assessment of epidermal growth factor receptor (EGFR) expression in primary colorectal carcinomas and their related metastases on tissue sections and tissue microarray. Virchows Arch. 449, 281–287 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chevalier C. et al. ABL tyrosine kinase inhibition variable effects on the invasive properties of different triple negative breast cancer cell lines. PLoS ONE 10, e0118854 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wiercinska E. et al. The TGF-β/Smad pathway induces breast cancer cell invasion through upregulation of matrix metalloproteinase 2 and 9 in a spheroid invasion model system. Breast Cancer Res. Treat. 128, 657–666 (2011). [DOI] [PubMed] [Google Scholar]
- Artym V. V., Yamada K. M. & Mueller S. C. ECM degradation assays for analyzing local cell invasion. Methods Mol. Biol. 522, 211–219 (2009). [DOI] [PubMed] [Google Scholar]
- Burgess A. et al. Loss of human Greatwall results in G2 arrest and multiple mitotic defects due to deregulation of the cyclin B-Cdc2/PP2A balance. Proc. Natl Acad. Sci. USA 107, 12564–12569 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Avrov K. & Kazlauskas A. The role of c-Src in platelet-derived growth factor alpha receptor internalization. Exp. Cell Res. 291, 426–434 (2003). [DOI] [PubMed] [Google Scholar]
- Ginestier C. et al. CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts. J. Clin. Invest. 120, 485–497 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sirvent A., Vigy O., Orsetti B., Urbach S. & Roche S. Analysis of SRC oncogenic signalling in colorectal cancer by stable isotope labeling with heavy amino acids in mouse xenografts. Mol. Cell. Proteomics 11, 1937–1950 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.