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Molecular Pathways: Mitogen Activated Protein Kinase (MAPK) Pathway Mutations and Drug Resistance
Antonia L. Pritchard 1 and Nicholas K. Hayward 1*
1. Oncogenomics Research Group, CBCRC Building, Queensland Institute of Medical Research, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia
*Corresponding Author: Nicholas K. Hayward
Oncogenomics Research Group, Queensland Institute of Medical Research, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia
Conflict of Interest Statement: No relationship that could be construed as resulting in an actual, potential, or perceived conflict of interest are declared by either Dr. Pritchard or Prof. Hayward.
Word counts:
Abstract: 243
Background + Clinical translational advances: 3320
Number of References: 98
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ABSTRACT
Receptor tyrosine kinases are a diverse family of transmembrane proteins that can activate
multiple pathways upon ligation of the receptor, one of which is the series of mitogen-
activated protein kinase (MAPK) signalling cascades. The MAPK pathways play critical roles
in a wide variety of cancer types, from haematological malignancies, to solid tumours.
Aberrations include altered expression levels and activation states of pathway components,
which can sometimes be attributable to mutations in individual members. The V600E
mutation of BRAF was initially described in 2002 and has been found at particularly high
frequency in melanoma and certain subtypes of colorectal cancer. In the relatively short time
since this discovery, a family of drugs have been developed that specifically target this
mutated BRAF isoform, which, after results from phase 1 / 2 and 3 clinical trials, was granted
FDA approval in August 2011. While these drugs produce clinically meaningful increases in
progression-free and overall survival, they have not improved mortality rates, due to
acquired resistance. New drugs targeting other members of the MAPK pathways are in
clinical trials or advanced stages of development. It is hoped combination therapies of these
new drugs in conjunction with BRAF inhibitors will counteract mechanisms of resistance and
provide cures. The clinical implementation of next generation sequencing is leading to a
greater understanding of the genetic architecture of tumours, along with acquired
mechanisms of drug resistance, which will guide the development of tumour specific
inhibitors and combination therapies in the future.
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BACKGROUND
Cells respond to certain growth factors, cytokines and hormones, via activation of receptor
tyrosine kinases (RTKs), with activation of subsequent signalling cascades ultimately altering
cellular processes and the expression of genes that encode proteins controlling cellular
proliferation, through regulation of the cell cycle, as well as cell death through apoptosis. The
RTKs are transmembrane glycoproteins with an intracellular tyrosine kinase domain that
activate tiers of effector proteins via an initial phosphorylation event. There are four main
signalling pathways induced by members of the RTK family, mediated by: (i) mitogen-
activated protein kinase (MAPK); (ii) the lipid kinase phosphatidylinositol 3 kinase (PI3K); (iii)
signal transducer and activator of transcription (STAT); and (iv) phospholipase Cγ (PLCγ).
The main focus of this review is the pathway mediated via MAPKs, with particular attention
to mutations that lead to dysregulation of cancer cell proliferation, and to recent advances in
pharmaceutical targeting of pathway members for cancer therapy.
The MAPK signalling cascade is highly conserved between different eukaryotic cell types
and is composed of three to five tiers of kinase families (MAP4K, MAP3K, MAP2K, MAPK
and MAPK-activated protein kinases (MAPKAPK); Figure 1), with one or more of each tier
phosphorylating and activating components of the next tier. The canonical MAPK signalling
pathway is shared by four cascades, which are classified by the MAPK family member at the
end of the phosphorylation cascade initiated by the RTK: (i) extracellular signal-related
kinases (ERK) 1 and 2 (ii) jun amino-terminal kinases (JNK) 1, 2 and 3) (iii) p38-MAPK and
(iv) ERK5 (Figure 1). While growth factors are considered to be the main regulators of the
ERK1/2 cascade, cellular stress the main inducer of the JNK and p38-MAPK cascades, and
either growth factors or stress as activators of the ERK5 cascade, considerable evidence
exists for cross-talk between various components of the pathways, meaning that ultimately
the cascades can cooperate to transmit certain signals.
The ERK1/2 signalling cascade
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Signalling via small G-proteins, for example the RAS family, activates the ERK1/2 signalling
cascade. The small G-proteins are recruited by RTKs via SH2/SH3 domain containing
protein intermediates, resulting in active RAS binding to MAP3K RAF family members
(Figure 1). Upon activation, RAF subsequently phosphorylates and thus activates MAP2K1/2
(also known as MEK1/2), which thereafter act as dual specificity kinases, phosphorylating
Tyr and Thr residues of the MAPK ERK1/2 proteins (Figure 1). Importantly, thus far, the
ERK1/2 proteins are the only identified targets of MAP2K1/2, indicating there is no
redundancy in the activation of this MAPK tier, despite numerous avenues of cross-talk
higher up the cascade. Active ERK1/2 phosphorylates a number of cytoplasmic proteins,
including members of the MAPKAPK family, cytoskeletal proteins, such as vimentin (1) and
keratin-8 (2), and also translocates to the nucleus, where it activates various transcription
factors, including FOS (3), TP53 (4) and ELK1 (5).
Mutations within members of the ERK1/2 signalling cascade
Oncogenic mutations of the RAS family of genes encode amino acid alterations at three
main residues, Gly12, Gly13 and Gln61, each of which prevent the hydrolysis of bound
guanosine triphosphate to guanosine diphosphate, resulting in a constitutively active form of
the protein. Mutations in members of the RAS family are present in approximately 17% of
human cancers (COSMIC database; Table 1). Constitutive activation of RAS is likely to have
knock-on effects on other branches of the MAPK pathway due to cross-talk between the
upper tiers of the cascades. Activating mutations have also been described in BRAF in
several cancer types including colorectal cancer (6) and non-small cell lung cancer (7). The
mutation frequency is particularly high in melanoma (approximately 45%, compared to 21%
of all cancer types; Table 1), with over 90% of these being mutated at the V600 amino acid
residue (7, 8). The V600 amino acid alteration is not exclusively found in cancers, with pre-
malignant lesions, such as melanocytic nevi, also carrying this mutation (9); the implication
being that BRAF mutations alone are not sufficient to drive malignancy. Mutations in RAF1
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(also known as CRAF) are less common (approximately 2%, COSMIC database; Table 1),
however, many studies have shown increased expression of RAF1 in a wide variety of
primary human cancers (10, 11). The paucity of oncogenic mutations in RAF1 has been
hypothesised to be due to 2 sites of phosphorylation being required for activation, thus the
protein would requires 2 separate mutational hits to constitutively turn on the kinase. It is
uncommon for tumours to contain both RAS and RAF mutations, suggesting that activation
of just one member of the cascade is all that is required for oncogenesis.
The JNK1/2/3 signalling cascade
The JNK branch of the MAPK pathway is primarily activated in response to stress stimuli,
such as UV-radiation, DNA damage and inflammatory cytokines; however, it can also be
weakly activated by growth factors and cytokines. These stimuli either directly activate the
G-protein RAC1, or alternatively activate the RAS family, which in turn also recruits and
phosphorylates RAC1, which then acts via the p21-protein activated kinase (PAK) family to
phosphorylate members of the MAP3K family. There are at least fourteen members of the
MAP3K family that have been linked to the activation of the JNK signalling cascade, e.g.
MAP3K4 and MAP3K12 (Figure 1). The MAP3K tier dual-phosphorylates MAP2K4 (MKK4)
at Ser257 and Thr265, or MAP2K7 (MKK7) at Ser271 and Thr275, which in turn activate
MAPK8 (JNK), MAPK9 (JNK2) and MAPK10 (JNK3). JNK and JNK2 are ubiquitously
expressed in humans, while JNK3 is primarily found in brain, heart, and testis. A wide variety
of cellular processes are activated by the JNK pathway, including apoptosis (12), signalling
molecules (13) and transcription factors, such as JUN (14), JUND (15) and TP53 (16).
Mutations in the JNK signalling pathway
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Inactivating mutations in MAP2K4 have led to its classification as a tumour suppressor gene
(17); deletion and epigenetic silencing of this gene have also been reported in breast (18),
biliary (18), pancreatic (18) and prostate (19) cancers. While the main targets of MAP2K4
are the JNK family, it also has a degree of cross-talk with members of the p38 branch of
MAPK signalling (20). As JNK has been linked to apoptosis, these inactivating events have
been hypothesised to disrupt the signals intended to trigger cell death. Additionally, RAS
mutations may directly interact with JNK, by-passing the usual pathway through RAC1 (21)
(Figure 1). Recently, an activating RAC1 mutation has been found at high frequency in
melanoma (22, 23).
The p38-MAPK signalling cascade
The p38-MAPKs are strongly activated by environmental stresses and inflammatory
cytokines, however growth factors are able to weakly activate this pathway. p38-MAPKs
have been shown to play an important role in cell-cycle check-point control, at the G0, G1/S
and G2/M transitions, in a cell specific manner. The p38-MAPKs require dual
phosphorylation of the Thr-Gly-Tyr motif in the activation loop, by MAP2K3 (MEK3) or
MAP2K6 (MEK6), in order to become fully enzymatically active. These members of the
MAP2K family are highly specific for the p38-MAPK proteins, however, the MAP3K family
members that activate the MAP2K tier are tissue and stimuli specific; Figure 1. Additionally,
a role for members of the Rho family and heterotrimeric G-protein coupled receptors has
also been implicated (24, 25). There are four members of the p38-MAPK family; MAPK11
(p38-α), MAPK12 (p38-β), MAPK13 (p38-δ) and MAPK14 (p38-γ), which display tissue
specific patterns of expression (26, 27). The four subunits have additionally been shown to
differentially activate certain target substrates, for example, the microtubule-associated
protein tau (28), suggesting specialised functions for each isoform. Downstream targets of
members of the p38-MAPK pathway include the transcription factors TP53 (29), STAT1,
MEF (30) and NF-κB (31), cytoskeletal proteins and other kinases; Figure 1.
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Mutations in the p38-MAPK signalling pathway
p38-MAPK cannot be classified as either a tumour suppressor or an oncogene, as it has
roles in preventing cellular proliferation in response to cellular stress causing DNA damage
(32, 33), as well as increasing angiogenesis in response to a hypoxic environment caused
by tumour mass (34). Mutations in the p38-MAPK signalling pathway are relatively rare in
comparison to the other branches of the MAPK signalling network (Table 1). Nevertheless,
studies have shown p38-MAPK dysregulation in haematological malignancies (35, 36) and
breast (37), prostate (38), gastric (39) and lung (40) cancers.
The ERK5 signalling cascade
The ERK5 signal cascade is stimulated by a variety of extracellular stimuli, such as growth
factors (41, 42), inflammatory cytokines (43) and cellular stress such as hypoxia (44) and
laminar shear-stress (45). These signals lead to a variety of cellular responses, including
angiogenesis, anti-apoptosis, cell differentiation and cell proliferation (46-48); Figure 1.
These external stimuli activate the MAP3K tier, including MAP3K2 and MAP3K3, which
specifically phosphorylate the Ser311/Thr315 residues of MAP2K5 (MEK5) (49); MAP2K5 is
the only known protein able to activate ERK5 (Figure 1). In order to fully activate ERK5,
MAP2K5 must dual-phosphorylate the Thr218 and Tyr220 residues of ERK5, which then
results in further phosphorylation of MAP2K5, as well as autophosphorylation of ERK5,
resulting in maximal activity (50, 51).
Mutations in the ERK5 signalling cascade
Oncogenically mutated RAS has been reported to activate the ERK5 pathway in certain cell
types (52), however this finding has not been confirmed by other studies (53); the wild-type
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forms of RAS do not appear to stimulate this cascade (54). Mutations in the ERK5 pathway
mainly occur at the MAP4K level, with only a low proportion of mutations reported in other
tiers of the cascade (Table 1). Nonetheless, ERK5 is over-expressed in several endocrine-
related cancer types (55, 56), suggesting a role for this pathway during the malignant
process. Evidence suggests this is mediated, at least in part, via dysregulated miR-143 in
prostate cancer cells (57) and via an over-expression of STAT3 in breast cancer cells (58).
Whether there is a link between these two observations is yet to be elucidated.
CLINICAL-TRANSLATIONAL ADVANCES
Given the important roles played by the MAPK pathway in cancer development and
progression, intense focus has been directed towards therapeutically targeting these
dysregulated signals. While the RAS-protein is mutated in a high proportion of cancers and
impacts on a larger number of signalling cascades, a successful strategy to
pharmacologically target it has yet to be discovered (59). In contrast, other members of the
MAPK network downstream of RAS have proven highly tractable to pharmacologic inhibition.
Successfully developed therapies have included small molecule non‐ATP competitive
allosteric MEK inhibitors (MEKi), e.g. BAY 43‐9006 (Sorafenib); (60) and Trametinib (61),
and inhibitors of RAF family members, including Vemurafenib and Dabrafenib (62, 63). The
BRAF inhibitors (BRAFi) are a particularly novel and innovative direction for emerging
cancer therapies, as they specifically target the V600E/K mutated isoform of the protein.
These BRAFi have been subject to intense research interest and recent reviews succinctly
summarise this wealth of data (64, 65). Paradoxically, the BRAFi are capable of accelerating
growth in tumours wild-type at the V600E mutation location in BRAF (66), which emphasises
the importance of somatic mutation screening for identification of patients most suitable for
recipient of these therapies.
Clinical trials results of MAPK pathway inhibition
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Phase 1 / 2 trials of the BRAFi Vemurafenib have shown good response rates in the majority
of melanoma patients (67, 68). Moreover, in a phase 3 trial, Vemurafenib increased
progression-free and overall survival, although not mortality rate, in patients with BRAF
V600E mutation positive melanomas compared to those treated with dacarbazine (62). Initial
trials excluded patients with brain metastasis, however, a recently published phase 2 trial of
Dabrafenib revealed approximately 30% of patients achieved an overall cranial response in
brain metastasis of primary melanoma (69). Stage 2 trials of Vemurafenib for patients with
brain metastases are currently recruiting (Clinical trial identifier; NCT01378975).
Further encouraging results of targeting the MAPK pathway in melanoma come from a
phase 3 trial of the MEK inhibitor Trametinib, which showed significantly improved
progression-free and overall survival compared to patients treated with either dacarbazine or
paclitaxel (70). In a subsequent phase 1 and 2 trial, combined therapy of Trametinib with a
BRAFi (Dabrafenib) showed significantly better response rates and progression-free survival
than either monotherapy (63).
Additionally, targeted agents against activated KIT, an infrequently mutated RTK in
melanoma, have also shown promise in some patients (71-73), although results from large
phase 3 randomized clinical trials of KIT inhibitors are keenly awaited (e.g. NCT01280565).
Despite the initial optimism following the introduction of molecularly targeted therapies in the
clinic, considerable reassessment has been needed, as the vast majority of patients
developed resistance to the drugs. Fortunately, in the case of BRAFi, therapeutic resistance
was identified early and the research field moved quickly to identify potential causes.
Mechanisms of resistance to BRAF inhibitors
In vivo
Investigations comparing tumours from melanoma patients pre- and post- development of
BRAFi resistance have uncovered a multitude of mechanisms leading to
regrowth/recurrence of metastatic melanoma in individuals treated with such targeted
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therapies. These include increased expression and signalling through various RTKs, such as
PDGFRB (74, 75) or IGF1R (76), upregulation of the kinase MAP3K8/COT (77),
amplification of the BRAF gene resulting in higher levels of expression (78), alternative
splicing of BRAF leading to dimerization (79), NRAS mutation (74, 79, 80) and mutation of
MEK (81); although there is evidence that the latter does not always lead to development of
BRAFi resistance (75). Interestingly, Vemurafenib did not result in meaningful clinical
outcomes when treating the 8-10% of colon cancers that carry BRAF V600E mutations. The
cause of this was identified as being feedback re-activation of the MAPK pathway via the
RTK EGFR (82), implying that these tumours have innate, rather than an acquired
resistance to BRAFi. This resistance mechanism does not appear to be operative in
melanoma, which has only very low levels of EGFR expression (82). Importantly, each of the
resistance pathways in melanoma has the same endpoint – reactivation of the ERK1/2
branch of the MAPK cascade. Hence, high levels of MAPK activity appear central to, or
essential for, melanoma growth in vivo.
In vitro
A number of studies have addressed mechanisms of BRAFi resistance in vitro by generating
subclones of melanoma cell lines that develop resistance to RAF inhibitors through
prolonged culture and selection with these agents. Like the diverse mechanisms of
resistance that develop in melanoma trials patients in vivo these also have the common
theme of reactivating MAPK. They include upregulation of RAF1 (83) or upstream RTKs
such as FGFR3 (84), as well as mutation of NRAS (85) or KRAS (86).
Stromal mediated
While all of the mechanisms of BRAFi resistance mentioned above are cell autonomous,
Straussman and colleagues demonstrated an alternative paracrine resistance mechanism
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(87). They showed that fibroblast secretion of hepatocyte growth factor (HGF) activates the
RTK MET on adjacent melanoma cells leading to reactivation of MAPK and resistance to the
RAF inhibitor PLX4720. Recombinant HGF was sufficient to induce BRAFi resistance in
melanoma cell lines and either HGF neutralizing antibodies or a MET inhibitor blocked
PLX4720 resistance (87). In vivo, this association was supported by a correlation with the
level of stromal cell HGF expression in tumours of BRAF mutation positive melanoma
patients who developed resistance to BRAFi (87). An important implication of this finding is
that dual inhibition of BRAF and HGF or MET could prevent the development of BRAFi
resistance in some patients. Thus clinical trials assessing the efficacy of these combined
agents seem warranted.
Future developments: peering over the horizon
The early promise but subsequent failure of single agent targeted therapies to significantly
improve mortality rates in melanoma has led to a somewhat obvious paradigm shift in
treatment approaches. Combination therapies are now becoming de rigueur. Given the
strong (and potentially necessary) involvement of MAPK signalling in melanoma growth and
the development of resistance to BRAFi, it is likely that dual use of a BRAFi with an inhibitor
of MEK or MAPK will become standard for treating patients with BRAF mutation positive
melanomas. However, this is also likely to be only the backbone of new combination
treatments, with additional agents targeting components of other pathways (e.g. PI3K, PAK,
RAC1 or CDK4), or the immune system (see below), being included. Interestingly, cell lines
with NRAS or KRAS mutations have been shown to be more sensitive to IPA3, a small
molecule inhibitor of PAK1, and sub-cytotoxic doses of IPA3 make cells more sensitive to
MEK inhibitors (88), thus offering evidence that combined therapies might have synergistic
effects and providing possible novel mechanisms by which existing drugs may still yield
clinically meaningful outcomes.
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It is highly likely that other mechanisms of resistance exist than those discussed above.
Future studies will undoubtedly also investigate whether epigenetic changes, which can
control activation or silencing of gene expression, occur in cells after BRAFi exposure. Given
the recent data from Yancovitz et al showing that clonality of the BRAF V600E mutation
occurs both intra- and inter- tumours from the same patient (89), it is also highly likely that
clonal selection will play a role in resistance to BRAFi.
The advent of the “whole genome sequencing” era of genetic research has resulted in high
volume screening of melanoma cell lines and tumours for somatic mutations, which has
revealed that it is highly unlikely that driver mutations of a similar frequency to those
described in BRAF or RAS family members (Table 1) have yet to be uncovered in other
members of the MAPK pathway. It remains to be investigated whether the lower frequency
mutations could have collective effects, due to the considerable degree of cross-talk
between branches of the MAPK pathways. Further investigations are clearly required to
elucidate the effects of combinations of less-common mutations, which in turn could point to
new avenues for pharmaceutical intervention. It also remains to be determined whether
endpoints other than the dysregulation of MAPK play a vital role in melanoma tumorigenesis;
for example, GNAQ and GNA11 are frequently mutated in ocular melanoma and feed into
other pathways in addition to the MAPK cascade. If other tumorigenic mechanisms do exist,
they might also be a source of resistance to BRAFi.
An alternative to targeting components of the MAPK (and/or other) signalling pathway in
cancer treatment is the use of a new wave of immune modulators; such as antibodies to
CTLA4 (90), PD1 (91), or PD1L (91), which inhibit negative regulation of cytotoxic CD8+ T-
cells mediated by these ligands/receptors. For example, in a phase 3 trial, an anti-CTLA4
antibody (Ipilimumab) increased overall survival in patients with melanoma compared to
those treated with the glycoprotetin-100 (gp100) melanoma-antigen immunostimulatory
peptide vaccine; combined treatment with Ipilimumab and gp100 did not result in improved
survival compared to Ipilimumab alone (90). In another trial, melanoma patients treated with
a combination of Ipilimumab and dacarbazine showed significantly improved overall survival
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compared to dacarbazine alone (92). Results from an ongoing combination trial of BRAFi
plus Ipilimumab (NCT01400451) are eagerly awaited.
Conclusion
In summary, the MAPK pathways activated by RTK ligation have been proven to play an
important role in tumorigenesis, as they control cell cycle and proliferation, as well as
apoptosis, which when dysregulated drives abnormal cellular responses. In 2002 the V600E
mutation in BRAF was discovered at high frequency in melanoma (7) and to a lower degree
in other cancer types (Table 1). In the intervening years, novel therapies were developed
that targeted this mutated isoform of BRAF, as rapidly as 2 years following the initial report
of V600E mutations (93). These therapies have since been refined, resulting in FDA
approval for Vemurafenib being granted in August 2011, with BRAFi being clinically available
as a therapeutic option for metastatic melanoma positive for V600E mutations. While BRAFi
do not improve mortality rates, they do result in clinically meaningful increases in
progression free and overall survival. The speed at which the laboratory findings were
translated into a meaningful clinical outcome bodes well for future driver mutations identified
in the wake of the recent technological advances allowing rapid and ever more consistent
whole genome sequencing. It is our belief that the first vital steps have been taken towards
future treatment regimens where personalised medicine based on tumour mutation status in
combination with standard chemo- and/or immune-therapies will become a regular
therapeutic course.
FIGURE LEGEND
Figure 1: The four canonical mitogen-activated protein kinase (MAPK) signalling pathways, mediating the transmission of an external signal down through the cell to effector proteins that alter cellular proliferation and survival.
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Signalling pathways should not be considered as purely linear, as there is considerable cross talk, both between the various MAPK cascades and also with the other receptor tyrosine kinase (RTK) stimulated signalling pathways. This cross talk predominantly occurs between members of the upper tiers of the network, with the lower tiers providing specificity. For simplicity, this figure shows the main linear pathways only.
Additional components of the MAPK super-family exist (e.g. MAP4K2, A-RAF, MAP3K6, MAP3K9, MAP3K10, MAP3K13, MAP3K14, MAPK4, MAPK6, MAPKAPK2, and serine/threonine (Ser/Thr) kinase effector proteins, such as MNK1, MNK2, MSK1, MSK2, RPS6KB1 and RPS6KB2), but as many have not been assigned to specific pathways they have not been included in this figure, in order to aid overall interpretation of the pathways.
Similarly, since there is tissue specific expression of some members of the PAK family, not all have not been included in the Figure.
This figure was based on pathway information available from BioCarta (www.biocarta.com), in accordance with their terms and conditions and with their express permission to use the data in the creation of this diagram.
Table 1: Mutation frequencies of key molecules within the four MAPK canonical pathways reported in the Catalogue of Somatic Mutations in Cancer (COSMIC)†, or compiled from recently published exome/whole genome next generation sequencing data#.
† COSMIC: Catalogue of Somatic Mutations in Cancer (94, 95) # compiled from references (22, 23, 96-100) *Malignant Melanoma: includes all sub-tissues and all sub-histology types, including areas of low-UV exposure, mucosal tissues and those with high-UV exposure.
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Figure 1: Extracellular
Growth factors, Stress, osmotic Inflammatory trophic factors shock, G-radiation cytokines, FASL
PAK1 PAK4 RAS RAC1 PAK2 GLKHGK KHS HPK1 Intracellular MAP4K3 MAP4K4 MAP4K5 MAP4K1 MAP4K
B-RAF RAF1 MTK1 DLK MEKK1 MEKK2 MEKK3 ASK1 TAK1 PTK1
MAP3K4 MAP3K12 MAP3K8 MAP3K2 MAP3K3 MAP3K5 MAP3K7 MAP3K11 MAP3K
MEK1 MEK2 MKK7 MEK4 MEK5 MEK3 MEK6 MAP2K1 MAP2K2 MAP2K7 MAP2K4 MAP2K5 MAP2K3 MAP2K6 MAP2K
p38-B p38-G ERK1 ERK2 JNK JNK2 JNK3 ERK5 MAPK11 MAPK12 MAPK3 MAPK1 MAPK8 MAPK9 MAPK10 MAPK7 p38-D p38-A MAPK MAPK13 MAPK14
RSK1 RSK2 RSK3 PRAK MSK1 3PK Kinases MAPKAPK5 MAPKAPK3
c-JUN c-FOS MEF2 c-MYC SP1 STAT1 Targets of MAPK Targets
Transcription Factors
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Table 1.
Number mutations Mutations in melanoma* Gene Main MAPK (total samples analysed; (total samples analysed; (alternative name) pathway %) %) G-protein/target KRAS, NRAS and ERK-1/-2 29337 (174571; 16.8%)† 1014 (7403; 13.7%)† HRAS RAC1 JNK 8 (658; 1.2%)† 12 (247; 4.9%)# PAK1 JNK 29 (970; 2.9%)† 2 (247; 0.8%)# PAK2 JNK 12 (958; 1.3%)† 1 (247; 0.4%)# PAK4 JNK 13 (958; 1.4%)† 5 (247; 2.0%)# MAP4K tier MAP4K3 (MTK1) ERK5 44 (579; 7.6%)† 8 (247; 3.2%)# MAP4K4 (HGK) ERK5 42 (578; 7.3%)† 8 (247; 3.2%)# MAP4K1 (HPK) p38 44 (1003; 4.4%)† 6 (247; 2.4%)# MAP4K5 (KHS) p38 15 (553; 2.7%)† 2 (247; 0.8%)# MAP3K tier B-RAF ERK-1/-2 27391 (131564; 20.8%)† 5084 (11273; 45%)† RAF-1 (C-RAF) ERK-1/-2 32 (1510; 2.1%)† 3 (247; 1.2%)# MAP3K4 (MTK1) JNK 77 (600; 12.8%)† 1 (247; 0.4%)# MAP3K12 (DLK) JNK 37 (620; 5.9%)† 7 (247; 2.8%)# MAP3K2 (MEKK2) ERK5 7 (1394; 0.5%)† 1 (247; 0.4%)# MAP3K3 (MEKK3) ERK5 28 (993; 2.8%)† 2 (247; 0.8%)# MAP3K8 (MEKK1) ERK5 23 (991; 2.3%)† 4 (247; 1.6%)# MAP3K5 (ASK1) p38 58 (1030; 5.6%)† 27 (247; 10.9%)# MAP3K7 (TAK1) p38 28 (993; 2.8%)† 1 (247; 0.4%)# MAP3K11 (PTK1) p38 24 (990; 2.4%)† 9 (247; 3.6%)# MAP2K tier MAP2K1 (MEK1) ERK-1/-2 52 (1468; 3.5%)† 7 (247; 2.8%)# MAP2K2 (MEK2) ERK-1/-2 13 (516; 2.5%)† 5 (247; 2.0%)# MAP2K7 (MKK7) JNK 19 (1449; 1.3%)† 0 (247; 0%)# MAP2K4 (MEK4) JNK 100 (3658; 2.7%)† 4 (247; 1.6%)# MAP2K5 (MEK5) ERK5 16 (555; 2.9%)† 5 (247; 2.0%)# MAP2K3 (MEK3) p38 0 (781; 0%)† 11 (247; 4.5%)# MAP2K6 (MEK6) p38 20 (1420; 1.4%)† 5 (247; 2.0%)# MAPK tier MAPK3 (ERK1) ERK-1/-2 10 (1417; 0.7%)† 0 (247; 0%)# MAPK1 (ERK2) ERK-1/-2 17 (1413; 1.2%)† 4 (247; 1.6%)# MAPK8 (JNK) JNK 34 (1608; 2.1%)† 5 (247; 2.0%)# MAPK9 (JNK2) JNK 26 (1414; 1.8%)† 0 (247; 0%)# MAPK10 (JNK3) JNK 3 (1393; 0.21%)† 6 (247; 2.4%)# MAPK7 (ERK5) ERK5 30 (1414; 2.1%)† 4 (247; 1.6%)# MAPK11 (p38-β) p38 6 (1398; 0.4%)† 1 (247; 0.4%)# MAPK12 (p38-γ) p38 8 (1404; 0.6%)† 0 (247; 05)# MAPK13 (p38-δ) p38 12 (1609; 0.7%)† 2 (247; 0.8%)# MAPK14 (p38-α) p38 16 (1446; 1.1%)† 5 (247; 2.0%)# MAPKAPK tier RSK1 (RPS6KA1) ERK-1/-2 20 (978; 2%)† 4 (247; 1.6%)# RSK2 (RPS6KA3) ERK-1/-2 41 (1515; 2.7%)† 0 (247; 0%)# RSK3 (RPS6KA2) ERK-1/-2 45 (1618; 2.8%)† 8 (247; 3.2%)# MSK1 (RPS6KA5) p38 48 (1445; 3.3%)† 5 (247; 2.0%)# MAPKAPK5 (PRAK) p38 13 (1214; 1.1%)† 1 (247; 0.4%)# MAPKAPK3 (3PK) p38 2 (1601; 0.1%)† 2 (247; 0.8%)#
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Molecular Pathways: MAP kinase pathway mutations and drug resistance
Antonia L Pritchard and Nicholas K Hayward
Clin Cancer Res Published OnlineFirst February 13, 2013.
Updated version Access the most recent version of this article at: doi:10.1158/1078-0432.CCR-12-0383
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