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. Author manuscript; available in PMC: 2015 Oct 13.
Published in final edited form as: Cancer Cell. 2014 Oct 2;26(4):479–494. doi: 10.1016/j.ccell.2014.08.017

Naturally occurring neomorphic PIK3R1 mutations activate the MAPK pathway dictating therapeutic response to MAPK pathway inhibitors

Lydia WT Cheung 1, Shuangxing Yu 1, Dong Zhang 1, Jie Li 1, Patrick KS Ng 1, Nattapon Panupinthu 1,5, Shreya Mitra 1, Zhenlin Ju 1,2, Qinghua Yu 1, Han Liang 2, David H Hawke 3, Yiling Lu 1, Russell R Broaddus 4, Gordon B Mills 1
PMCID: PMC4198486  NIHMSID: NIHMS626647  PMID: 25284480

Summary

PIK3R1 (p85α regulatory subunit of PI3K) is frequently mutated across cancer lineages. Herein, we demonstrate that the most common recurrent PIK3R1 mutation PIK3R1R348* and a nearby mutation PIK3R1L370fs, in contrast to wild-type and mutations in other regions of PIK3R1, confers an unexpected sensitivity to MEK and JNK inhibitors in vitro and in vivo. Consistent with the response to inhibitors, PIK3R1R348* and PIK3R1L370fs unexpectedly increase JNK and ERK phosphorylation. Surprisingly, p85α R348* and L370fs localize to the nucleus where the mutants provide a scaffold for multiple JNK pathway components facilitating nuclear JNK pathway activation. Our findings uncover an unexpected neomorphic role for PIK3R1R348* and neighboring truncation mutations in cellular signaling providing a rationale for therapeutic targeting of these mutant tumors.

Introduction

Specific molecular aberrations in a cancer gene can have functional consequences that determine therapeutic sensitivity (Chen et al., 2004; Lutzky et al., 2008; Lynch et al., 2004). Importantly, specific mutations can exhibit hypomorphic (decreased function), hypermorphic (increased function), or less understood neomorphic (gain-of-function) effects. Indeed, mutated IDH1 and IDH2 and a number of other oncogenic mutations are neomorphs (Ward et al., 2010). If neomorphic mutations are common in human tumors, this will require a systematic characterization of underlying mechanisms and therapeutic liabilities engendered by the neomorphic mutations if we are to optimally capitalize on broad genomic characterization of patient tumors and implementation of personalized cancer therapy.

PIK3R1 mutation represents one of the most common aberrations being the 11th most common mutated gene across 4429 tumors covering 20 diseases in The Cancer Genome Atlas (TCGA) database. PIK3R1 mutations are particularly prevalent in endometrial (20% and 34% in our and TCGA datasets respectively (Cheung et al., 2011; Kandoth et al., 2013)) and colon cancers (4%; TCGA (Cerami et al., 2012)). We recently demonstrated that the most common recurrent PIK3R1 mutation, R348*, which accounts for approximately 10% of all PIK3R1 mutations in endometrial and colon cancers, acts as a gain-of-function mutation by increasing survival in BaF3 murine myeloid cells (Cheung et al., 2011). PIK3R1, which encodes the p85α subunit of PI3K, functions primarily as a regulator of the p110α catalytic product of the PIK3CA locus. Importantly, the PIK3R1R348* truncation mutation produces a protein that cannot bind to p110α and thus the gain-of-function activity of PIK3R1R348* is unlikely to involve altered p110α activity. Whether additional patient-derived mutations in PIK3R1 within close proximity of R348 (Cerami et al., 2012; Cheung et al., 2011) will also act as gain-of-function mutations is not yet known. Based on the frequency of PIK3R1R348* and neighboring mutations as well as the gain-of-function activity of PIK3R1R348*, we investigated the functional consequences of PIK3R1 mutations within the region on cellular signaling and cellular phenotypes as well as therapeutic liabilities.

Results

PIK3R1R348* and PIK3R1L370fs render cells sensitive to specific MAPK pathway inhibitors

Having previously demonstrated that PIK3R1R348* is a gain-of-function mutation in BaF3 cells, we undertook a BaF3 differential cytotoxicity screen to examine whether specific PIK3R1 mutations would alter sensitivity towards a collection of 145 compounds targeting major signaling pathways. The normally interleukin 3 (IL3)-dependent BaF3 cells were rendered IL3-independent by stable expression of p85α mutants that activate signaling pathway(s) able to drive survival of BaF3. Inhibitors that target signaling pathway(s) induced by the mutant would cause growth inhibition or cell death that can be rescued by exogenous IL3, providing a “counterscreen” for nonspecific effects of the inhibitor. The IC25 and IC50 values for each compound across the cell lines are listed in Table S1. Strikingly, PIK3R1E160* and PIK3R1R348* mutations rendered the cells sensitive to different PI3K pathway inhibitors (Figure S1A). Exogenous IL3 rescued cells from the inhibition, consistent with an on-target effect as compared to non-specific toxicity. Interestingly, PIK3R1E160*, which we have demonstrated to alter PTEN stability and activity (Cheung et al., 2011), led to sensitivity to a downstream inhibitor of the pathway (rapamycin) but not an inhibitor of p110 (GDC0941), which is proximal to PTEN. In contrast, PIK3R1R348* engendered sensitivity to an AKT inhibitor MK2206 but not rapamcyin or GDC0941. If this sensitivity is reflected in patient tumors, differential therapeutic approaches will be required for these and potentially other PIK3R1 mutations. Intriguingly, KRASG12D-expressing BaF3 cells were sensitive to rapamycin and MK2206 potentially due to the interaction of KRASG12D with p110 (Rodriguez-Viciana et al., 1994).

The advantage of probing the cell lines with a large “informer” library is the potential to identify unexpected therapeutic liabilities. Indeed, BaF3 cells expressing PIK3R1R348* were sensitive to multiple MEK (PD0325901, AZD6244, PD98059, CI1040 and hypothemycin) and JNK inhibitors (SP600125, BI78D3 and AEG3482) (Figure 1A; Figure S1A), which was again reversed by IL3. The engendered sensitivity to MEK and JNK inhibitors was unique to PIK3R1R348*-expressing cells as expression of PIK3R1E160* and known gain-of-function PIK3R1 mutations (DKRMNS560del, R574fs, and T576del (Cheung et al., 2011; Quayle et al., 2012)) did not result in sensitivity towards these inhibitors (Figure 1A; Figures S1A and S1B). In contrast, KRASG12D conferred sensitivity to MEK and p38 MAPK inhibitors, but not JNK inhibitors (Figure 1A; Figure S1A). Further, the oncogenic PIK3CAE545K and PIK3CAH1047R mutants did not alter sensitivity to the MAPK pathway inhibitors (Figure S1B).

Figure 1. PIK3R1R348 -expressing cells display preferential sensitivity to MAPK inhibitors and elevated ERK and JNK phosphorylation.

Figure 1

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(A) Dose response curve of control BaF3 cells (Control), which was established after transfection of PIK3R1WT but expressed low exogenous WT p85α level, or BaF3 cells stably expressing PIK3R1E160*, PIK3R1R348* or KRASG12D for PD0325901, SP600125 and SB203580. Means (±SD) of duplicates from 2 independent experiments are shown. (B) Heatmap of unsupervised cluster analysis of stable BaF3 cells and selected proteins by RPPA. Red indicates higher level relative to other samples. (C) The same set of lysates used in (B) was used for Western blotting. See also Figure S1 and Table S1 and Table S2.

To investigate whether truncation mutations neighboring R348 also confer sensitivity to MAPK pathway inhibitors, we used an ovarian endometrioid cancer cell line OVK18, which carries a naturally occurring PIK3R1L370fs mutation (see Figure 4D below for mapping of the region required to mediate the effects engendered by PIK3R1R348*). Consistent with the BaF3 screen, OVK18 was sensitive to multiple MEK and JNK inhibitors, but not to the p38 MAPK inhibitor (Table 1). Ovarian endometrioid cancer is similar to endometrial endometrioid cancer and indeed is thought to arise from endometriosis in the ovary (Ness, 2003), we therefore compared OVK18 with a series of endometrial endometrioid cancer cell lines. Intriguingly, endometrial endometrioid cancer cell lines without PIK3R1L370fs but with mutations in PI3K and MAPK pathways that parallel those in OVK18 were less sensitive to MAPK pathway inhibitors (Table 1; Table S3). These results are consistent with the endogenous PIK3R1L370fs mutation mimicking PIK3R1R348* by rendering cells sensitive to MAPK pathway inhibitors.

Figure 4. p85α R348* localizes to the nucleus and activates MLK3-MKK7-JNK signaling in the nucleus.

Figure 4

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(A, B) SKUT2 cells transfected with HA-tagged PIK3R1WT, PIK3R1E160* or PIK3R1R348* were harvested for subcellular fractionation and Western blotting (C, cytosolic; M, membrane; N, nuclear) (A) or immunostaining using anti-HA (green) antibody (B). DAPI was used for nuclear staining. ‘Merge’ indicates combined images. Bar, 10 μm. (C) Schematic illustration of PIK3R1 truncation mutations upstream of R348*. (D, E) Cell lysates from SKUT2 cells transfected with indicated mutants were subjected for subcellular fractionation as in panel A (D) or Western blotting (E). (F) BaF3 cells transfected with PIK3R1WT or PIK3R1 mutant were cultured without IL3 for 4 weeks prior to viability assay. Means (±SD) of triplicates from 3 independent experiments are shown. (G, H) SKUT2 transfected with PIK3R1WT, PIK3R1N324*, PIK3R1R348* or PIK3R1N324* and PIK3R1R348* fused with nucleus export signal (NES) were harvested for subcellular fractionation and Western blotting (WB) (G) or immunoprecipitation (IP) with anti-MLK3 antibody in nuclear extract and analyzed by WB (H). *p < 0.05, compared with PIK3R1WT. control, parental SKUT2. See also Figure S4.

Table 1.

IC25 and IC50 values (μM) for MAPK inhibitors in tested cell lines.

MEK inhibitor (IC25/IC50) JNK inhibitor (IC25/IC50) p38 MAPK
inhibitor
(IC25/IC50)
Tumor type AZD6244 PD98059 PD0325901 U0126 GSK1120212B SP600125 BI78D3 AS601245 SB203580
ECC1 Endometrial 3.1 / NA 5.5 / NA 7.1 / NA 0.2 / NA 1.4 / NA NA / NA NA / NA NA / NA NA / NA
HEC108 Endometrial 9.8 / NA NA / NA 5.5 / NA 0.6 / NA 0.6 / NA NA / NA 4.1 / NA 2.3 / NA NA / NA
HEC265 Endometrial NA / NA NA / NA NA / NA 1.4 / NA NA / NA NA / NA NA / NA 1.1 / NA NA / NA
SNGII Endometrial 0.1 / NA 0.4 / NA 2.1 / NA 0.6 / 7.8 1.3 / NA NA / NA 1.1 / NA 0.49 / 9.8 NA / NA
OVK18 Ovarian 0.03 / 1.2 0.03 / 2.7 0.04 / 1.8 0.009 / 0.7 0.04 / 9.5 0.09 / 7.1 0.06 / 8.2 0.08 / 6.4 NA / NA
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NA, not available, inhibition did not reach 25% or 50%.

See also Table S3.

PIK3R1R348* and PIK3R1L370fs induce ERK and JNK activation

We next determined whether pathway activation correlates with drug sensitivity. Consistent with the sensitivity to MEK inhibitors, reverse-phase protein arrays (RPPA) revealed elevated levels of phosphorylated MKK1 (upstream kinase of ERK1/2) in BaF3 cells expressing PIK3R1R348* or KRASG12D (Figure 1B; Figure S1C, Table S2). In contrast, elevated phosphorylated JNK1/2 (p-JNK) and phosphorylated c-Jun (p-c-Jun; downstream substrate of JNK) occurred exclusively in PIK3R1R348*-expressing BaF3, while phosphorylated p38 MAPK (p-p38 MAPK) was modestly increased in KRASG12D cells. Western blots confirmed that PIK3R1R348* and KRASG12D markedly increased phosphorylation of MKK1, ERK1/2 and the downstream substrate p90RSK (Figure 1C). PIK3R1R348* increased phosphorylation of JNK and c-Jun but not p38 MAPK, which was, as predicted, phosphorylated in cells expressing KRASG12D. In contrast, PIK3R1 mutants (including PIK3R1E160*) and PIK3CA mutants that had no effect on sensitivity to MAPK inhibitors did not alter phosphorylation of MAPK pathway members (Figure 1C; Figures S1D and S1E).

Strikingly, ERK and JNK were activated upon serum starvation or growth factor stimulation in PIK3R1L370fs mutant OVK18 cells (Figure 2A. Note the expression of the truncation mutation in OVK18 cells). As expected, p-p38 MAPK remained unaltered. Importantly, the activation of ERK and JNK were mediated by PIK3R1L370fs because two p85α siRNAs that efficiently knocked down the L370fs protein decreased ERK and JNK phosphorylation (Figure 2A). In contrast, a siRNA that decreased expression of WT p85α but not the L370fs mutant failed to decrease ERK and JNK activation. It is noteworthy that although PIK3R1L370fs induced MAPKs activation, the mutant protein was present at low levels compared to WT p85α in OVK18, consistent with PIK3R1L370fs acting as a gain-of-function mutation.

Figure 2. PIK3R1R348*- and PIK3R1L370fs-mutant cell lines and endometrial tumors show high levels of p-ERK and p-JNK.

Figure 2

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(A) Top, schematic showing the locations of p85α siRNA-targeted regions; Bottom, ovarian endometrioid cancer cells OVK18 transfected with p85α siRNAs or non-specific (NS) control for 72 hr were cultured in the absence of FBS (0% FBS) for additional 24 hr. The cells were then simulated with epidermal growth factor (EGF; 10 ng/ml) or insulin-like growth factor 1 (IGF-1; 10 ng/ml) for another 1 hr before being harvested for Western blotting. Lysates were loaded into two gels due to sample well limits but the membranes were probed with same antibodies for equal duration and the proteins were detected under same exposure time. (B) Western blotting of total lysates or subcellular fractions from SKUT2 endometrial cancer cells transfected with PIK3R1WT, PIK3R1E160*, PIK3R1R348* or KRASG12D. α-tubulin (cytosolic), pan-cadherin (membrane) and histone H3 (nuclear) served as markers for purity of fractions. (C, D) Immunohistochemical staining for p-ERK (C) and p-JNK (D) in 4 endometrial carcinomas carrying PIK3R1R348* and 12 endometrial carcinomas without PIK3R1R348* (control). Nuclei were counterstained in hematoxylin. Bar, 50 μm. See also Figure S2 and Table S4.

To further assess the generalizability of effects of PIK3R1 mutants on MAPK pathway activation, we expressed the mutants in a series of endometrial cancer cell lines with WT RAS genes. PIK3R1R348* increased phosphorylated ERK (p-ERK) and p-JNK levels in all four endometrial cancer cell lines assessed (Figure 2B; Figure S2A, Table S3). KRASG12D-transfected cells showed increase in p-ERK and p-p38 MAPK. Once again, PIK3R1 mutants that did not alter sensitivity to MAPK inhibitors did not increase phosphorylation of MAPKs (Figure 2B; Figure S2A), reinforcing the notion that activation of pathway underlies drug sensitivity and highlighting the neomorphic function of PIK3R1R348* and PIK3R1L370fs. Activation of the MAPK pathway by PIK3R1R348* and PIK3R1L370fs is independent of the canonical role of p85α in PI3K signaling because multiple PI3K pathway inhibitors (GDC0941, PI103 and MK2206) that effectively inhibited PIK3R1R348*- and PIK3R1L370fs-induced AKT phosphorylation did not decrease phosphorylation of ERK and JNK (Figures S2B and S2C).

PIK3R1R348*-bearing endometrial cell lines and tumors have high nuclear p-ERK and p-JNK

MAPKs traffic between cellular compartments to propagate signals. Subcellular fractionation showed that p-ERK was elevated in both the cytosol and nucleus in PIK3R1R348*- and KRASG12D-expressing endometrial cancer cells (Figure 2B). In contrast, p-JNK was increased primarily in the nucleus of PIK3R1R348*-expressing cells. Accumulation of nuclear p-c-Jun was also observed (Figure S2D), consistent with PIK3R1R348* increasing nuclear JNK activity.

We were able to probe the effect of PIK3R1R348* on p-ERK and p-JNK localization by immunohistochemistry of 4 PIK3R1R348* mutant endometrial tumors which displayed strong nuclear staining of both p-ERK and p-JNK. In contrast, nuclear p-ERK and p-JNK staining of 12 non-PIK3R1R348* endometrial tumors were less intense, regardless of mutations in other sites in PIK3R1 and other genes in the PI3K pathway (Figures 2C and 2D; Table S4).

PIK3R1R348* activates specific MAPK kinases (MKKs)

MKKs selectively activate different MAPKs (Derijard et al., 1995). For instance, MKK7 exclusively activates JNK while MKK4 activates p38 MAPK and JNK (Tournier et al., 1997). Consistent with the selective effects of PIK3R1R348* and KRASG12D on phosphorylation of MAPKs, both PIK3R1R348* and KRASG12D increased phosphorylated MKK1/2 (p-MKK1/2), which phosphorylates ERK (Figure 3A). In addition, knockdown of MKK1 and MKK2 by two independent siRNAs reversed PIK3R1R348*- and KRASG12D-induced ERK phosphorylation (Figure 3B; Figures S3A and S3B). In contrast, phosphorylated MKK7 (p-MKK7) was induced by PIK3R1R348*, whereas KRASG12D activated MKK3 and MKK4. Strikingly, knockdown of MKK7, but not MKK4, significantly decreased JNK phosphorylation induced by PIK3R1R348* (Figure 3B; Figures S3A and S3B).

Figure 3. PIK3R1R348* selectively activates B-Raf-MKK1/2-ERK and MLK3-MKK7-JNK pathways.

Figure 3

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(A) Total lysates from transfected SKUT2 were analyzed by Western blotting. (B) Cells co-transfected with PIK3R1WT, PIK3R1R348* or KRASG12D and 20 nM siRNAs targeting the MKKs or non-specific (NS) control for 72 hr were harvested for subcellcular fractionation. Western blots shown were from nuclear lysates. (C) Transfected SKUT2 were harvested for subcellcular fractionation and Western blotting. (D) Cells were co-transfected with PIK3R1WT, PIK3R1R348* or KRASG12D and 10 nM siRNAs targeting B-Raf, c-Raf or NS control for 72 hr. Data shown are Western blots of cytosolic lysates. (E) Total lysates from transfected SKUT2 were harvested for immunoprecipitation (IP) with anti-B-Raf antibody and Western blotting (WB). IP with anti-IgG was used as control. (F) Cells co-transfected with PIK3R1WT, PIK3R1R348* or KRASG12D and 20 nM siRNAs targeting MLK2, MLK3, DLK (40 nM) or NS control for 72 hr were harvested for subcellular fractionation. Western blots shown were from nuclear lysates. (G) Western blots for MLK3 in total lysates, cytosolic and nuclear fractions from transfected SKUT2. (H) Western blots of IP with anti-MLK3 antibody using cytosolic and nuclear extracts from transfected SKUT2. See also Figure S3

We further determined the localization of the activated MKKs. In PIK3R1R348*-expressing cells, p-MKK1/2 located exclusively in the cytosol, whereas increased p-MKK7 could only be observed in the nucleus (Figure 3C). Intriguingly, PIK3R1R348* also induced translocation of total MKK7 from the cytosol to the nucleus (Figure 3C) without altering total cellular levels (Figure 3A). The accumulation and activation of nuclear MKK7 is compatible with JNK being directly phosphorylated in the nucleus.

MKK1/2 is regulated by RAF family kinases. Knockdown of B-Raf decreased p-MKK1/2 and p-ERK induced by PIK3R1R348* or KRASG12D (Figure 3D; Figures S3C and S3D). In contrast, c-Raf or A-Raf siRNAs had no detectable effect on PIK3R1R348*-induced MKK1/2 or ERK phosphorylation although the proteins were efficiently depleted by the siRNAs and c-Raf siRNAs did decrease KRASG12D-induced p-MKK1/2 and p-ERK (Figure 3D; Figures S3D and S3E). In addition, B-Raf activation as indicated by phosphorylation at threonine and serine residues was increased in PIK3R1R348*-expressing cells (Figure 3E). Thus B-Raf appears to be a critical intermediary between PIK3R1R348* and ERK signaling activation.

The MLK serine/threonine protein kinase family including MLK2, MLK3 and DLK represents the dominant MAPKK kinases for MKK7 (Gallo and Johnson, 2002). Importantly, siRNAs against MLK3, but not MLK2 or DLK, abolished PIK3R1R348*-induced p-JNK (Figure 3F; Figures S3F and S3G). It is noteworthy that nuclear p-MKK7 was also decreased; however, depletion of MLK3 did not inhibit nuclear translocation of total MKK7, suggesting that MKK7 nuclear translocation is independent of MLK3 and MKK7 phosphorylation. PIK3R1R348* induced a redistribution of MLK3 from the cytosol to the nucleus (Figure 3G). In addition, serine and threonine phosphorylated MLK3 was increased by PIK3R1R348* exclusively in the nucleus, but not in the cytosol (Figure 3H). These data suggest that activation of JNK signaling by PIK3R1R348* is initiated in the nucleus and this activation involves nuclear translocation and subsequent phosphorylation of MLK3 and MKK7.

p85α R348* and L370fs localize to the nucleus

Next, we investigated whether the localization of p85α R348* correlates with nuclear accumulation of MKK7 and MLK3. WT p85α and p85α E160* localized predominantly in the cytosol (Figures 4A and 4B). Strikingly, p85α R348* was readily detected in the nucleus. p85α L370fs, which activated ERK and JNK in OVK18, also localized to the nucleus (Figure S4A). Localization of p110α was not altered by WT p85α which does not enter the nucleus or by p85α R348* which does not bind p110 (Figure S4B).

To gain insight into mechanisms underlying nuclear translocation of p85α R348*, we mapped the domain that enables nuclear translocation using a series of truncation p85α mutants. Four truncation mutants downstream of R348* failed to translocate to the nucleus (Figures S4C-E). Further, these 4 mutations failed to activate MAPKs or promote IL-3 independent survival of BaF3 (Figures S4F and S4G). Two mutants upstream of R348* between the BCR homology (BH) domain and the nSH2 domain, N299* and N324*, localized to the nucleus (Figures 4C and 4D; Figure S4H). Importantly, similar to PIK3R1R348*, these 2 mutations induced p-ERK and p-JNK (Figure 4E) and IL3-independent survival of BaF3 (Figure 4F). In contrast, truncation mutants within the BH domain (R188*, E212*, Q235* E266*) did not translocate to the nucleus, induce MAPK phosphorylation or mediate survival of BaF3.

To determine whether nuclear localization of p85α mutants was essential for activation of the JNK signaling cascade, a nuclear export signal (NES) was engineered into the N-terminal end of p85α R348* and p85α N324* to exclude them from the nucleus. These NES-containing mutants retained the ability to activate B-Raf, MKK1/2 and ERK (Figure 4G; Figures S4I and S4J), consistent with this occurring in the cytosol. In contrast, activation of the JNK signaling cascade, including phosphorylation of c-Jun, JNK, MKK7 and MLK3 was impaired in NES-containing mutants (Figures 4G and 4H). In addition, these NES-containing mutants did not induce nuclear translocation of MKK7 and MLK3 (Figure 4G). Taken together, these results reinforce the contention that p85α R348* mediates the nuclear accumulation of MLK3 and MKK7 thereby promoting activation of the JNK signaling cascade in the nucleus. In contrast, activation of ERK does not rely on nuclear localization of p85α R348*.

p85α R348* translocates into the nucleus through binding to Cdc42 and Rac1, which are required for activation of ERK and JNK

p85α does not contain a consensus intrinsic nuclear localization signal (NLS). As shown in Figure 4D, an intact BH domain appears to be necessary for nuclear localization of p85α mutants. This domain contains conserved motifs that bind small GTPases including Cdc42 and Rac1 (Tolias et al., 1995; Zheng et al., 1994). Furthermore, Rac1 and Cdc42 contain canonical NLS and contribute to ERK and JNK activation (Etienne-Manneville and Hall, 2002; Teramoto et al., 1996), making these small GTPases plausible candidates to translocate R348* to the nucleus. As expected, an intact BH domain in WT and mutated p85α was required for binding to Cdc42 and Rac1 (Figure 5A). We did not detect RhoA binding to WT or mutant p85α. Remarkably, Cdc42 or Rac1 siRNAs, but not RhoA siRNAs, reduced nuclear p85α R348* levels (Figure 5B; Figures S5A-C) without affecting total p85α R348* levels (Figure S5D). Combined knockdown of Cdc42 and Rac1 further inhibited nuclear translocation of p85α R348* (Figure 5B; Figure S5C), suggesting that both Cdc42 and Rac1 contribute to nuclear translocation of p85α R348*.

Figure 5. Cdc42 and Rac1 mediate nuclear entry of p85α R348* and activation of ERK and JNK signaling cascades by p85α R348*.

Figure 5

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(A) Total lysates from SKUT2 transfected with HA-tagged PIK3R1WT or mutants were harvested for immunoprecipitation (IP) with anti-HA antibody and Western blotting (WB). IP with anti-IgG was used as control. (B, C) Cells co-transfected with PIK3R1R348* and 20 nM each of the indicated siRNAs for 72 hr were harvested for subcellular fractionation (C, cytosolic; M, membrane; N, nuclear) and WB. (D-F) Cells co-transfected with PIK3R1R348* and dominant negative (DN)-Cdc42, -Rac1 or -RhoA for 72 hr were harvested for subcellular fractionation (D) or total lysates used for IP with anti-B-Raf antibody (E) or nuclear lysates used for IP with anti-MLK3 antibody (F). See also Figure S5.

Along with decreased nuclear translocation of p85α R348*, Cdc42 or Rac1 siRNAs inhibited nuclear translocation of MKK7 and MLK3 (Figure 5C; Figure S5E). These siRNAs also inhibited PIK3R1R348*-induced phosphorylation of MLK3, MKK7, JNK, c-Jun, B-Raf, MKK1/2 and ERK, with combined knockdown producing a further reduction (Figures S5D, S5F and S5G). Similar to siRNA, expression of dominant negative Cdc42 (T17N) or Rac1 (T17N) abrogated PIK3R1R348*-induced ERK (Figures 5D and 5E) and JNK (Figures 5D and 5F) signaling cascades, suggesting a requirement for Rac1 and Cdc42 GTPase activities. Notably, nuclear translocation of p85α R348*, MKK7 and MLK3 was not abolished by dominant negative Rac1 and Cdc42 (Figure 5D). Therefore, physical interaction with Cdc42 and Rac1 appears sufficient for nuclear translocation of p85α R348*, MKK7 and MLK3 whereas active Cdc42 and Rac1 are essential for initiation of the signaling cascade.

p85α R348* and L370fs are scaffolds for a MLK3/MKK7/JNK1/JNK2 complex to promote nuclear JNK signaling

Because Cdc42 and Rac1 are required for nuclear localization of p85α R348*, and R348*, in turn, is required for the nuclear translocation of MKK7 and MLK3, we speculated that these molecules exist as a complex in the nucleus. Indeed, p85α R348* co-immunoprecipitated with Cdc42, Rac1, MKK7 and MLK3 from nuclear extracts (Figures 6A and 6B). Interestingly, JNK1 and JNK2 were also present in the immunoprecipitates (Figures 6A and 6B). Notably, this nuclear complex formation was drastically reduced upon exclusion of p85α R348* from the nucleus by NES addition (Figure 6B), consistent with p85α R348* being required for assembly of a stable nuclear MLK3/MKK7/JNK1/JNK2 complex. The assembly of this nuclear complex was also observed in OVK18 in the context of p85α L370fs, but not in HEC108 where p85α did not localize to the nucleus (Figure S6A).

Figure 6. p85α R348* acts as a scaffold to assemble a Cdc42/Rac1/MLK3/MKK7/JNK1/JNK2 complex.

Figure 6

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(A) Nuclear lysates from SKUT2 cells transfected with HA-tagged PIK3R1R348* were subjected to immunoprecipitation (IP) with anti-HA antibody and Western blotting (WB). (B) Nuclear lysates from SKUT2 transfected with HA-tagged PIK3R1WT, PIK3R1R348*, nucleus export signal (NES)-fused PIK3R1R348* were subjected to IP with anti-JNK1 antibody. (C, D) Nuclear extract from SKUT2 transfected with HA-tagged PIK3R1R348* was fractionated using gel filtration column. The indicated fractions were analyzed by WB (C) or pooled for IP with anti-HA antibody (D). (E, F) Nuclear extract from SKUT2 transfected with HA-tagged NES-PIK3R1R348* was fractionated using gel filtration. The indicated fractions were analyzed (E) by WB or pooled for IP with anti-JNK1 antibody (F). F, fraction. MW, molecular weight. See also Figure S6.

To further characterize the nuclear R348* complex, gel filtration experiments were conducted. While a small portion of p85α R348* eluted in fractions 34-36, the majority of nuclear R348* was recovered in a large molecular complex (fractions 25-29), which also contained JNK1, JNK2, MKK7, MLK3, Cdc42 and Rac1 (Figure 6C). Immunoprecipitation confirmed that these proteins formed a physical complex in fractions 25-29 but not fractions 34-36 (Figure 6D). Strikingly, excluding R348* from nucleus by NES addition led to an absence of detectable MKK7/MLK3 and JNK1/2 in fractions 25-26 and Cdc42/Rac1 in fraction 25 (Figure 6E). In the absence of nuclear p85α R348*, JNK1 coprecipitated with MLK3 and MKK7, but not JNK2, Cdc42 or Rac1 (Figure 6F). These results together support the notion that nuclear p85α R348* stabilizes a MLK3/MKK7/JNK1/JNK2 nuclear complex.

The p85α R348*/Cdc42/Rac1/MLK3/MKK7/JNK1/JNK2 complex can be detected in the cytosol

To determine whether the JNK signaling complex could form in the cytosol and translocate to the nucleus, gel filtration and immunoprecipitation were also performed with cytosolic extracts. p85α R348* was present in fractions 29-33 and association of R348* with Cdc42, Rac1 and MLK3/MKK7/JNK1/JNK2 was detected in fraction 29, which was the only fraction where these molecules co-migrated (Figures S6B and S6C). Excluding R348* from the nucleus resulted in cytosolic accumulation of R348*, MLK3, MKK7, JNK1 and JNK2 (fractions 25-29) (Figure S6D). Interestingly the migration of Rac1 and Cdc42 was not altered suggesting that these are normally part of large complex. Furthermore, all of the components of the complex were readily detectable by coimmunoprecipitation in fractions 25-29 (Figure S6E). Taken together, these results suggest that p85α R348* functions as a scaffold protein that assembles and stabilizes a complex of Cdc42, Rac1, MLK3, MKK7 and JNK1 and JNK2 in the cytosol. The stabilized complex then translocates to the nucleus for efficient and robust activation of the JNK pathway.

PIK3R1R348* and PIK3R1L370fs promote malignant phenotypes through ERK and JNK signaling in vitro and in vivo

To determine the functional relevance of ERK and JNK activation by PIK3R1R348*, we established two independent stable endometrial cancer cell lines (Figure S7A) with results obtained from the two clones being essentially identical. PIK3R1R348* stable clones demonstrated increased JNK and ERK phosphorylation (Figure S7A) as well as increased proliferation assayed by BrdU incorporation (Figure 7A), which was decreased by a MEK inhibitor but not a JNK inhibitor (Figure 7A; Figure S7B), suggesting that PIK3R1R348* induces proliferation through MEK/ERK activation. Inhibition of cell proliferation by the MEK or JNK inhibitor did not reach statistical significance in LacZ-, PIK3R1WT- or PIK3R1E160*-expressing cells (Figure 7A; Figure S7B). The JNK pathway can induce or inhibit apoptosis depending on the cellular context. In the presence of FAS ligand, LacZ-, PIK3R1WT- or PIK3R1E160*-expressing cells underwent apoptosis as indicated by DNA fragmentation (Figure 7B; Figure S7C). In contrast, PIK3R1R348*-expressing cells were insensitive to this apoptotic stimulus. This anti-apoptotic effect was reversed by a JNK inhibitor but not a MEK inhibitor (Figure 7B; Figure S7C), suggesting that PIK3R1R348* protects cells from apoptosis through JNK activation. Strikingly, PIK3R1R348* clones were 3-fold more invasive than PIK3R1WT clones in Matrigel-coated Boyden chamber transwells (Figure 7C). Expression of PIK3R1R348* also resulted in larger spheroids and higher cell viability in 3D Matrigel cultures (Figure 7D). These effects were suppressed by ERK and JNK inhibition (Figures 7C and 7D). Together, these data indicate that PIK3R1R348* increases cells proliferation and invasion and decreases sensitivity to apoptosis through activation of ERK and JNK pathways.

Figure 7. PIK3R1R348* promotes malignant phenotypes in vitro and in vivo through ERK and JNK.

Figure 7

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(A) SKUT2 stably expressing LacZ, PIK3R1WT, PIK3R1E160* or PIK3R1R348* were cultured in medium containing 1% FBS with or without MEK inhibitor PD0325901 (PD) at 20 nM. DMSO served as negative control. Cell proliferation was determined at 24, 48, and 72 hr after seeding. (B) Stable SKUT2 were cultured in medium containing 5% FBS (control) or anti-Fas antibody (+FAS) with or without JNK inhibitor SP600125 (SP) at 20 μM for 72 hr before apoptosis assay. (C) Representative images (left) and mean number of invaded cells of five fields at magnification of 40x (right) of indicated SKUT2 cells in the presence of indicated inhibitors. (D) Representative images (left) and cell viability (right) of indicated SKUT2 cells grown in 3D culture for 6 days before being treated with SP or PD or combination for another 3 days. (E) Cells were subcutaneously injected into mouse flank regions (n=12/group). Tumor volume was measured weekly. (F) Tumor-bearing mice were treated with vehicles, MEK inhibitor GSK1120212b or GDC0973, JNK inhibitor BI78D3 or p38 MAPK inhibitor SB203580. Tumor growth inhibition percentages were calculated and presented in the graph. Scale bars represent 50 μm (C and D). All in vitro assays were performed with two independent stable clones yielding similar results. Data (Means (±SD)) of clone #1 of triplicates from 3 independent experiments are shown. All in vivo data are represented as mean ± SEM. *p < 0.05; **p < 0.05 compared with PIK3R1R348* DMSO control; ***p < 0.05 compared with PIK3R1WT DMSO control. #p < 0.05 compared with PIK3R1WT at same time point; ##p < 0.01 compared with PIK3R1WT at same time point. ###p < 0.05 compared with PIK3R1WT treated with corresponding inhibitor. See also Figure S7.

To determine whether the in vitro effects on growth and invasiveness were recapitulated in vivo, LacZ-, PIK3R1WT-, PIK3R1E160*- and PIK3R1R348*-expressing isogenic endometrial cancer cell lines were injected subcutaneously into nude mice. Expression of PIK3R1R348* significantly increased tumor growth as compared to LacZ- or PIK3R1WT-expressing cells at week 3 (p < 0.05, Figure 7E). In accord with the in vitro and patient data, PIK3R1R348*-expressing tumors showed marked elevation of p-ERK and p-JNK (Figure S7D). These PIK3R1R348*-driven tumors were more sensitive to MEK and JNK inhibitors than PIK3R1WT- and PIK3R1E160*-expressing tumors as indicated by % tumor growth inhibition (Figure 7F). Strikingly, OVK18 xenografts that have naturally occurring PIK3R1L370fs were also highly sensitive to the MEK and JNK inhibitors (Figure S7E), further supporting the rationale for therapeutic targeting of PIK3R1R348* or neighboring mutations with MAPK pathway inhibitors.

Discussion

The effective implementation of targeted therapy ultimately lies in the individualization of treatment regimens based on effectively targeting the effects of driver mutations in cancer. While current approaches focus on the discovery of targetable cancer genes, the drug screening and mechanistic studies herein suggest that the specific aberration in the cancer gene rather than the cancer gene alone should be considered for effective therapeutic targeting. The effect of particular mutations may not only demonstrate a quantitative effect on drug sensitivity but also a qualitative effect changing the function of the molecule and potentially requiring different therapeutic approaches (Chen et al., 2004; Lutzky et al., 2008; Lynch et al., 2004; Ward et al., 2010). We demonstrate that PIK3R1R348* and the neighboring mutation PIK3R1L370fs represent neomorphic p85α mutations that could potentially be biomarkers of responsiveness to inhibitors targeting the ERK and JNK pathways. Our observations that the naturally occurring PIK3R1L370fs exhibited the same effects of PIK3R1R348* strengthen the pathophysiological significance of the findings and more importantly indicate that PIK3R1 truncation mutations within close proximity of R348* exhibit the same phenotypes and therapeutic liabilities. As PIK3R1R348* is the most common recurrent PIK3R1 mutations in endometrial cancers (9.6% and 6.9% of all PIK3R1 mutations in our and TCGA datasets respectively (Cheung et al., 2011; Kandoth et al., 2013)) and colon cancers (16.6%; TCGA (Cerami et al., 2012)) with multiple truncation and other mutations in PIK3R1 within close proximity, approaches able to benefit patients with these aberrations are needed.

The primary function of p85 regulatory subunits is to stabilize and to maintain p110 catalytic subunits of PI3K in a quiescent state until activated by receptor tyrosine kinases (Cuevas et al., 2001; Yu et al., 1998). PIK3R1R348* and PIK3R1L370fs are unique amongst the naturally occurring mutations of PIK3R1 characterized as they activate not only the PI3K pathway but also specific components of the MAPK pathway. The mechanism by which the PI3K pathway is activated warrants further investigation; this could be a result of interaction of the neomorphs with Cdc42 and Rac1, which can impinge on the PI3K pathway (Murga et al., 2002). However, the activation of the MAPK pathway by PIK3R1R348* and PIK3R1L370fs is independent of the conventional role of PIK3R1 in PI3K signaling because the activation was insensitive to PI3K or AKT inhibitors. This is further supported by p85α R348* and L370fs lacking the iSH2 domain that mediates association with p110. The N-terminal region of p85α is thought to contribute to PI3K activity-independent functions of PIK3R1. We and others have recently shown that p85α forms a homodimer that binds to and regulates PTEN (Cheung et al., 2011; Taniguchi et al., 2006). p85α also interacts with small GTPases of the Rho family to regulate cytokinesis (Garcia et al., 2006). Moreover, PIK3R1WT mediates insulin-induced activation of JNK via Cdc42 and MKK4 (Taniguchi et al., 2007). The signaling cascade by which PIK3R1R348* activates JNK is MKK7-dependent and is distinct from that proposed for the actions of PIK3R1WT (Taniguchi et al., 2007).

Perhaps the most striking neomorphic characteristic of p85α R348* and L370fs is the prominent nuclear localization that promotes JNK signaling. Nuclear translocation of the neomorphs requires an intact BH domain and is blocked by p85α SH2 domains. The p85α SH2 domains mediate interaction with cytoskeletal regulatory proteins such as FAK (Bachelot et al., 1996) and phosphotyrosine-containing peptides such as receptor tyrosine kinases (Hellyer et al., 1998; McGlade et al., 1992; Pandey et al., 1994). Physical linkage to these cytoskeletal and membranous proteins may prohibit p85α from translocating into the nucleus. In search for nuclear transport chaperones, we demonstrated Rac1 and Cdc42, which bind p85α via its BH domain (Tolias et al., 1995; Zheng et al., 1994), were required for nuclear translocation of p85α R348*. Interestingly, both Rac1 and Cdc42, which carry canonical NLS (K-K/R-x-K/R), have been proposed to act as nuclear transport chaperones for STAT5 (Kawashima et al., 2006), SmgGDS (Lanning et al., 2003), p120 catenin (Lanning et al., 2003) and ACK (Ahmed et al., 2004). Rac1 also acts as transcriptional coactivator through associating with transcription factors in the nucleus (Buongiorno et al., 2008; Kawashima et al., 2006; Lanning et al., 2003) and nuclear Cdc42 regulates chromosome dynamics (Lagana et al., 2010; Yasuda et al., 2004). Nuclear import of Cdc42 and Rac1 may also be facilitated through binding to other effectors harboring NLS, such as PAR family members (Johansson et al., 2000). Indeed, as indicated in our gel filtration studies, Cdc42 and Rac1 are consistently present in large physical complexes.

Importantly, in additional to providing a physical link for nuclear localization of the complex, Cdc42 and Rac1 activity is required to induce ERK and JNK signaling cascades. Our data is consistent with Cdc42 and Rac1 increasing MLK3 activity resulting in JNK activation (Teramoto et al., 1996). Although MLK3 has been shown to mediate B-Raf-induced ERK activation (Chadee and Kyriakis, 2004), it is unlikely in our model because PIK3R1R348*-induced phosphorylation of MLK3 only occurred in the nucleus. Rather, PIK3R1R348*-induced ERK activation most likely requires, as yet unidentified downstream effectors of Cdc42 or Rac1. In this regard, PAK, which is a Cdc42 and Rac1 target, has been demonstrated to activate the Raf/ERK cascade (Koh et al., 2009). The BH domain of p85α shares high homology to the Rho GTPase-activating protein domain of the breakpoint cluster region (bcr) protein, which inactivates Rho family proteins. There are conflicting data on the regulation of Cdc42 and Rac1 activity by p85α. Wild-type p85α has been shown to increase (Taniguchi et al., 2007), decrease (Chamberlain et al., 2004; Stankiewicz et al., 2010), or have no effect (Zheng et al., 1994) on the activity of Cdc42 or Rac1. It is possible that both an intact N-terminus and functional SH2 domains are required for WT p85α to regulate the activity of Rho GTPases (Taniguchi et al., 2007). We also found that p85α R348*, which lacks SH2 domains, was not sufficient to alter GTP binding or expression level of Cdc42 or Rac1 in either the cytosol or nucleus (our unpublished observations). It is possible that basal activity of Cdc42 and Rac1 is sufficient to support the effects of PIK3R1R348*.

p85α R348* and L370fs appear to be scaffolds that coordinate the formation of a stable MLK3/MKK7/JNK1/JNK2 complex. From structural features, we speculate that p85α R348* and L370fs directly bind MLK3 through conserved proline rich and SH3 domains (Zhang and Gallo, 2001). Interestingly, the SH3 domain of p85α shares high homology to that of JIP1, which is a known scaffold for the MLK/MKK/JNK complex and binds MKK7 via its SH3 domain (Dickens et al., 1997). Thus the SH3 domain in p85α R348* and L370fs may also bind MKK7. As p85α lacks an obvious consensus JNK-binding domain, JNK is likely to be tethered to the complex through an interaction with MKK7 or other intermediary proteins. Moreover, as JIP-1 causes cytosolic retention of JNK (Dickens et al., 1997), it is conceivable that p85α R348* and L370fs displace the cytosolic MLK3/MKK7/JNK from the JIP1 scaffold allowing nuclear translocation. The recruitment and stabilization of a MLK3/MKK7/JNK1/JNK2 complex in the nucleus may be required for nuclear JNK activation. Indeed, while the p85α R348*/Rac1/Cdc42/MLK3/MKK7/JNK1/JNK2 complex can be detected in the cytosol, particularly when R348* is excluded from the nucleus, phosphorylated forms of JNK, MLK3 and MKK7 are highly enriched in the nuclear compartment. Thus, either an active complex is formed in the cytosol and then rapidly translocated to the nucleus or MKK7 and JNK1/2 are rapidly dephosphorylated in the cytosol. Alternatively phosphorylation of complex components occurs primarily in the nucleus. Differential binding partners in the complex between cytosol and nucleus may account for this specificity. Indeed, while we demonstrated the presence of multiple molecules in the complex both in the cytosol and the nucleus, the size of the complexes were different in both compartments. Further, the large size of the complexes suggests that additional molecules are likely present in the complex. Their identity as well as their roles in the functional activity of the neomorphs remains to be identified.

Signaling specificity, such as strength, duration and location of activation, determines the functional consequences of MAPK signaling (Inder et al., 2008). The pro- and anti-apoptotic signals transmitted by JNK are an archetype of this phenomenon (Dhanasekaran and Reddy, 2008). We found that activation of JNK in nucleus renders cells resistant to FAS-induced apoptosis. Thus exclusive activation of JNK in the nucleus may serve to explain the functional consequences of the nuclear localization of p85α R348* and L370fs and the selection of these mutations during tumorigenesis. Blocking ERK and JNK inhibited PIK3R1R348*- and PIK3R1L370fs-induced tumorigenic phenotypes. Indeed, whether combined inhibition of the PI3K pathway, MEK and/or JNK signaling are required to achieve maximal suppression of the tumorigenic function of these PIK3R1 neomorphs warrants further study and will provide preclinical data required to develop trials to treat patients with aberrations in this region of PIK3R1. In endometrial cancer, co-mutations in PI3K pathway members occur at frequencies significantly higher than predicted, suggesting that co-mutations in different components of the PI3K pathway may cooperate for efficient transformation (Cheung et al., 2011; Oda et al., 2008). Interestingly, PTEN or PIK3CA mutations co-occur at a frequency higher than expected with PIK3R1R348* in both our in-house (5 of 5PIK3R1R348*-tumors) and TCGA endometrial cancer cohorts (7 of 8 PIK3R1R348*-tumors). In contrast, KRAS mutation and PIK3R1R348* did not co-occur in our in-house cohort (0 of 5 PIK3R1R348*-tumors) and they co-occurred at the expected frequency based on the prevalence of each independent mutation in TCGA cohort (4 of 8 PIK3R1R348*-tumors).

With the advent of therapies targeting the PI3K and MAPK pathways and genomic profiling, there is a tremendous interest in identifying biomarkers able to select cancer patients most likely to benefit from targeted therapy. The ability of PIK3R1R348* and PIK3R1L370fs to selectively activate the MEK and JNK pathways and to potentially bypass effects of PI3K pathway inhibitors similar to KRAS suggests that caution should be used in enrolling these patients into PI3K targeted clinical trials. It may be necessary to treat patients with PIK3R1R348*, PIK3R1L370fs or neighboring PIK3R1 mutations using similar approaches to patients with combined RAS and PI3K pathway mutations, a common observation in endometrial and colon cancers. Finally, if neomorphic mutation is a generalizable phenomenon with many other mutations in cancer genes also acting as neomorphs, this provides a note of caution in the application of targeted therapies. In this case, it will be likely that the implementation of approaches to functionally characterize the effects of patient specific mutations will be needed to fulfill the promise of personalized cancer therapy and importantly to prevent untoward consequences of targeted therapy.

Experimental Procedures

Cell culture and reagents

Endometrial cancer cell lines and BaF3 were cultured as reported (Cheung et al., 2011). Ovarian cancer cell line OVK18 from the Riken BioResource Center (Japan) was cultured in MEM with 10% FBS. Generation of stable isogenic SKUT2 cell lines is described in Supplemental Experimental Procedures. Stable BaF3 cell lines were selected with blasticidin (20 μg/ml) and IL3 withdrawal and were maintained in medium without IL3. IGF-1 and EGFR ligands were from R&D Systems (Minneapolis, MN, USA). SP600125 and PD0325901 for in vitro assays were from Sigma-Aldrich (St. Louis, MO). The 145-compound library was obtained from the John S. Dunn Gulf Coast Consortium for Chemical Genomics (Houston, TX). For in vivo studies, GSK1120212B and GDC0973 were from the PI3K in Women’s Cancer Stand up to Cancer Project; BI78D3 was from Santa Cruz Biotechnology (Dallas, Texas). PD0325901 and SB203580 were from LC Laboratories (Woburn, MA).

BaF3 cytotoxicity assay

The day before treatment, stable construct expressing BaF3 cells (1×104) were seeded in 96-well plates in medium with or without IL3. Cells were treated with DMSO or inhibitors (1 nM to 10 μM) in the presence or absence of IL3 for 72 hr. Cell viability was determined using PrestoBlue (Promega, Madison, WI). Two independent experiments, each in duplicate, were performed.

Cell extract preparation, immunoprecipitation and Western blotting

Cytosol, membrane and nuclear fractions were prepared using FractionPREPTM Cell Fractionation kit (BioVision, Mountain View, CA). Whole cell lysates for Western blotting were extracted with RIPA (25 mM Tris-HCl pH 7.6, 150 mM NaCl, 1% NP-40, 1% sodium deoxycholate, 0.1% SDS, protease and phosphatase inhibitor cocktail). Cell lysates (25 µg) were loaded onto SDS-PAGE and transferred to PVDF membrane and protein expression visualized with enhanced chemiluminescence Western blot detection kit (Amersham Biosciences, Piscataway, NJ). Whole cell lysates for immunoprecipitation were prepared using lysis buffer containing 0.5% NP-40, 50 mM Tris pH 7.4, 150 mM NaCl, 5 mM EDTA pH 8 and protease inhibitors. Nuclear extracts for immunoprecipitation was prepared using Nuclear Complex Co-IP Kit (Active motif, Carlsbad, CA). The lysates were precleared by incubating with 1:1 slurry of protein A/G agarose (Santa Cruz Biotechnology) for 1 hr at 4°C, and then immunoprecipitated with antibodies against HA, B-Raf, MLK3 or JNK1 overnight at 4°C. The immune complexes were collected by incubation with protein A/G agarose for 4 hr before being resolved by SDS-PAGE. Normal IgG was used as negative control. Antibodies used are listed in Supplemental Experimental Procedures.

Human endometrial tumor samples and immunohistochemistry

The endometrial cancer patient samples have been described previously (Cheung et al., 2011). After informed consent, patient materials were collected according to an Institutional Review Board-approved protocol at MD Anderson Cancer Center (MDACC). Immunohistochemistry was performed in the Histology & Tissue Processing Facility Core at MDACC. Intensity of nuclear staining was evaluated by a pathologist (Dr. R Broaddus). All histological studies were performed in a blinded manner with regard to the sample genetic context.

Mice

All animal experiments were approved by MDACC's Institutional Animal Care and Use Committee (IACUC). Animal care was followed according to Institutional guidelines. Detailed experimental procedures are provided in Supplemental Experimental Procedures.

Statistical analysis

All experiments were independently repeated at least twice. Data of the in vitro assays were derived from triplicates of three independent experiments and are presented as means ± SD. The significance of differences was analyzed by Student’s t test. Significance was accepted at the 0.05 level of probability (p < 0.05).

Supplementary Material

1
2
3

Significance.

Previously characterized mutants of the p85α regulatory subunit of PI3K exclusively target PI3K pathway activation either by activating p110 or decreasing PTEN function. We demonstrate that PIK3R1R348* and neighboring truncation mutations are neomorphs that result in selective activation of components of the MAPK pathway leading to therapeutic sensitivity to MEK and JNK inhibitors. These neomorphic mutations represent the most common subset of recurrent PIK3R1 mutations in endometrial and colon cancers and could potentially be biomarkers of responsiveness to inhibitors targeting the ERK and JNK pathways in tumors with these mutations. Our findings also suggest that the selection of targeted therapies may need to be conditioned on the specific mutation in the cancer gene rather than on the cancer gene alone.

Acknowledgments

We thank Dr Jinsong Liu for the KRASG12D plasmids. This work was supported by NCI 2P50 CA098258-06 to RRB and GBM; NCI U01 CA168394 to GBM; Stand Up to Cancer/AACR Dream Team Translational Cancer Research Grant SU2C-AACR-DT0209 to GBM; MDACC Uterine SPORE Career Development Award and the Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine to HL; TCGA GDAC Grant (NIH/NCI U24 CA143883) to GBM and HL; training grant from the Keck Center Computational Cancer Biology Training Program of the Gulf Coast Consortia (CPRIT Grant No. RP101489) to LWT; the CCSG RPPA core, the Characterized Cell Line Core and the DNA analysis facility (funded by NCI # CA16672) in MDACC.

Footnotes

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Additional experimental protocols are described in the Supplemental Experimental Procedures.

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Supplementary Materials

1
NIHMS626647-supplement-1.docx (1.7MB, docx)
2
NIHMS626647-supplement-2.xlsx (26.6KB, xlsx)
3
NIHMS626647-supplement-3.xlsx (256.6KB, xlsx)

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