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Focal Gains of VEGFA: Candidate Predictors
of Sorafenib Response in Hepatocellular Carcinoma
Josep M. Llovet1,2,3,*
1Mount Sinai Liver Cancer Program, Division of Liver Diseases, ICAHN School of Medicine at Mount Sinai, New York, NY 10029, USA
2HCC Translational Research Lab, BCLC Group, Liver Unit, IDIBAPS, CIBERehd, Hospital Clı´nic, University of Barcelona. Barcelona 08036,
Catalonia, Spain
3Institucio´ Catalana de Recerca i Estudis Avanc¸ ats, Barcelona 08036, Catalonia, Spain
*Correspondence: josep.llovet@mssm.edu
http://dx.doi.org/10.1016/j.ccr.2014.04.019
Focal amplifications in 6p21 containing the VEGFA locus occur in 7%–10% of hepatocellular carcinoma
(HCC). A recent paper describes how VEGF-A stimulates paracrine secretion of hepatocyte growth factor
by stromal cells, which induces tumor progression. HCC patients with VEGFA amplification are distinctly
sensitive to sorafenib.
Liver cancer is a major health problem
and the second cause of cancer death
after lung cancer. Hepatocellular carci-
noma (HCC) develops in patients with
underlying chronic liver inflammation
related to viral infection, alcohol, or meta-
bolic syndrome. Sorafenib remains the
only approved systemic drug for patients
at advanced stages of the disease (Llovet
et al., 2008). Molecular therapies targeting
signaling cascades involved in hepato-
carcinogenesis have been explored in
phase III clinical trials, but none of the
drugs tested showed positive results in
first- (brivanib, sunitinib, erlotinib, and
linifanib) or second-line therapy (brivanib
and everolimus) after progression on sor-
afenib (Llovet and Hernandez-Gea, 2014).
Thus, there is an urgent need to identify
molecular subclasses of HCC driven by
specific genetic aberrations that can be
effectively targeted recapitulating the
success of crizotininb in ALK-rearranged
lung cancer (Kwak et al., 2010) or vemur-
afenib in BRAF mutant melanoma.
Recent studies have provided a broad
picture of the mutational profile in HCC
and identified an average of 30–40 muta-
tions per tumor, among which 6–8 might
be drivers (Villanueva and Llovet, 2014;
Guichard et al., 2012). Common muta-
tions are described in the TERT promoter,
TP53, CTNNB1, ARID1A, and AXIN1.
Deep-sequencing studies confirmed
frequent TP53 and CTNNB1 mutations in
HCC and pointed to novel HCC-associ-
ated mutations in genes involved in
chromatin remodeling (ARID1A and
ARID2), ubiquitination (KEAP1), RAS/
MAPK signaling (RPS6KA3), oxidative
stress (NFE2L2), and the JAK/STAT
pathway (JAK1) (Villanueva and Llovet,
2014; Guichard et al., 2012) (Table 1).
Studies assessing copy number alter-
ations in HCC have consistently identified
high-level amplifications at 5%–10%
prevalence containing oncogenes in
11q13 and 6p21, whereas other more
common gains reported contain MYC
and MET (Villanueva and Llovet, 2014;
Guichard et al., 2012; Chiang et al.,
2008). We described amplifications of
11q13 in 5%–10% of tumors, pointing to
several candidate oncogenes including
CCND1 (Chiang et al., 2008). Subse-
quently, both CCND1 and FGF19 were
identified in experimental models as
bona fide oncogenes in HCC and poten-
tial targets for therapy (Sawey et al.,
2011). This finding prompted the design
of proof-of-concept trials testing FGFR4
inhibitors in patients with 11q13 focal
amplification containing FGF19. Similarly,
we defined high-level gains (more than
four copies) of 6p21 containing VEGFA
in 8% of cases out of 210 HCC patients
explored. Interestingly, there was a signif-
icant correlation between 6p21 gains and
VEGF-A mRNA expression (Chiang et al.,
2008). Now an elegant study by
Pikarsky’s group (Horwitz et al., 2014)
demonstrated that a subset of mouse
and human HCCs harbors VEGFA/Vegfa
genomic amplifications. They explored
the unique role of paracrine interactions
by which VEGF-A overexpression in
HCC cells leads to production of hepato-
cyte growth factor (HGF) by stroma that
reciprocally induce cancer cell prolifera-
tion. Interestingly, VEGF-A inhibition in
experimental models induced HGF down-
regulation, and patients with VEGFA
amplification responded better to the
multi-kinase inhibitor sorafenib.
Horwitz et al. (2014) found that 14% of
HCC tumors developing in a mouse
model of inflammation-driven cancer
(MDR2-deficient mice) harbored an am-
plicon in a region syntenic to the human
6p21 region (Chiang et al., 2008). They
confirmed VEGFA amplifications and/or
chromosome 6 polysomy in 11% of hu-
man HCCs (out of 187 cases tested). In
experimental models, there was a correla-
tion between VEGFA/Vegfa gains and
expression levels (mRNA and protein).
To elucidate the mechanism by which
VEGFA amplifications induced tumor pro-
gression, the authors first demonstrated
that animals with amplification showed a
higher vessel density, macrophage con-
tent, and enrichment for tumor-associ-
ated macrophage expression signatures.
A relevant finding of the investigation is
macrophage-tumor cell crosstalk. VEGFA
amplified tumors showed higher mRNA
levels, and nonneoplastic stromal cells in
the microenvironment had positive HGF
immunostaining. Using cells isolated
from the experimental HCC models, the
authors demonstrated that hepatocytes
overexpressed c-Met and macrophages
overexpressed VEGFRs. In vivo studies
showed that VEGF-A overexpression in
HCC cells induced upregulation of HGF,
mostly in macrophages, and led to
increased proliferation and pro-angio-
genic features. Functional confirmation
of the role of VEGF-A was obtained by
blocking it in MDR2-deficient mice and
560 Cancer Cell 25, May 12, 2014 ª2014 Elsevier Inc.
Cancer Cell
Previews
Hep3B xenograft models. A short course
of sorafenib treatment in animals with
VEGFA focal gains resulted in VEGF-A
inhibition, decreased HGF levels, and an
associated decrease in HCC proliferation.
This finding is consistent with the
decrease in HGF plasma levels observed
in HCC patients undergoing sorafenib
treatment (Llovet et al., 2012). Finally,
the authors retrospectively explored a
cohort of HCC patients undergoing resec-
tion who were further treated with sorafe-
nib. FISH-based selection of focal VEGFA
gains defined a group of patients with
better outcome, pointing to this biomarker
as a potential predictor of sorafenib
response.
Taken all together, Horwitz et al.’s
paper provides experimental confirmation
that VEGF-A has oncogenic properties in
hepatocarcinogenesis by inducing para-
crine secretion of HGF in stromal cells,
specifically macrophages, which in turn
lead to cancer cell proliferation. Notably,
it would have been relevant to explore if
a genetically-engineered mouse model
reproducing this genomic aberration in a
tissue-specific manner would have been
able to recapitulate this result. Similarly,
although the outcome of patients bearing
VEGFA amplification suggests that they
have a better response to sorafenib, the
retrospective nature of the results pre-
cludes any firm conclusion. However,
they nicely point toward further steps in
designing prospective and poof-of-
concept trials to confirm the hypothesis.
HCC is in need of additional molecular
treatments in first- and second-line ther-
apy and in the adjuvant setting. Reasons
for recent trial failures are heterogeneous
and include a lack of understanding of
critical drivers of tumor progression and
dissemination, liver toxicity, flaws in trial
design, or marginal antitumoral potency
(Llovet and Hernandez-Gea, 2014).
Ongoing trials testing drugs head-to-
head against sorafenib in all-comers
might have difficulties in achieving supe-
rior results in first-line therapy. Novel trials
are currently designed to test drugs in
biomarker-based HCC patient subpopu-
lations. In this regard, the consequences
of Horwitz et al.’s study are 2-fold. First,
whether VEGFA-amplified tumors repre-
sent a specific HCC subclass that
responds better to sorafenib requires
prospective confirmation with optimal
control for confounding/concurring fac-
tors. Phase III trials testing sorafenib
have proven beneficial in all subgroup
analysis of patients with advanced tumors
(Bruix et al., 2012). Thus, the question to
be explored is whether VEGFA amplified
tumors certainly respond even better to
this drug. Interestingly, a recent large
phase III study testing sorafenib in the
adjuvant setting did not meet the primary
end-point of recurrence-free survival.
Whether a subgroup of patients with
VEGFA amplification might benefit from
this drug in the adjuvant setting can now
be elucidated. Second, high-level
VEGFA-amplification can be used as a
biomarker in phase II pivotal proof-of-
concept studies testing drugs blocking
VEGF-A or VEGFR2 receptors. Other
drugs beyond sorafenib, such as ramu-
rafenib (a monoclonal antibody against
VEGFR2) or bevacizumab can be ex-
plored. In addition, dual VEGF-A and
c-Met inhibitors appear to be appealing
in this setting. Such inhibitors (e.g., cabo-
zantinib) are being tested in phase III trials
for second-line therapy.
We are facing a new era for testing
drugs in HCC as a consequence of
discovering novel oncogenic drivers (see
Table 1). Although nonspecific drugs will
still be explored targeting all patients,
pivotal proof-of-concept trials or those
with biomarker-based enrichment will
emerge for specific pockets of HCC
patients, which can completely change
the treatment paradigm. The study by
Pikarsky’s group provides relevant infor-
mation for moving toward this direction
(Horwitz et al., 2014).
ACKNOWLEDGMENTS
J.M.L. has grants from NIH-NIDDK
(1R01DK076986-01), National Institute of Health
(Spain) I+D Program (SAF-2010-16055), the
Samuel Waxman Cancer Research Foundation,
the European Commission Framework Pro-
gramme 7 (Heptromic, proposal number 259744),
and the Asociacio´ n Espan˜ ola para el Estudio del
Ca´ ncer.
REFERENCES
Bruix, J., Raoul, J.L., Sherman, M., Mazzaferro, V.,
Bolondi, L., Craxi, A., Galle, P.R., Santoro, A.,
Beaugrand, M., Sangiovanni, A., et al. (2012).
J. Hepatol. 57, 821–829.
Chiang, D.Y., Villanueva, A., Hoshida, Y., Peix, J.,
Newell, P., Minguez, B., LeBlanc, A.C., Donovan,
D.J., Thung, S.N., Sole´ , M., et al. (2008). Cancer
Res. 68, 6779–6788.
Guichard, C., Amaddeo, G., Imbeaud, S.,
Ladeiro, Y., Pelletier, L., Maad, I.B., Calderaro,
Table 1. Landscape of the Most Prevalent Mutations and High-Level Gene
Amplifications in Human Hepatocellular Carcinoma
Gene
Pathways/Gene Functions
Involved
Estimated Frequency Based on
Deep-Sequencing Studies (%)
Driver Genes Frequently Mutated in HCC
TERT promoter telomere stability 60
TP53 genome integrity 20–30
CTNNB1 WNT signaling 15–25
ARID1A chromatin remodeling 10–16
TTN chromosome segregation 4–10
NFE2L2 oxidative stress 6–10
JAK1 JAK/STAT signaling 0–9
Oncogenes/Tumor Suppressors Rarely Mutated in HCC
IDH1, IDH2 NAPDH metabolism <5
EGFR growth factor signaling <5
BRAF RAS/MAPK signaling <5
KRAS, NRAS RAS/MAPK signaling <5
PIK3CA AKT signaling <5
PTEN AKT signaling <5
Oncogenes Contained in High-Level Amplifications in HCC
FGF19 FGF signaling 5–10
CCND1 cell cycle 5–10
VEGFA HGF signaling/angiogenesis 7–10
Modified from Llovet and Hernandez-Gea (2014).
Cancer Cell 25, May 12, 2014 ª2014 Elsevier Inc. 561
Cancer Cell
Previews
J., Bioulac-Sage, P., Letexier, M., Degos, F.,
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Horwitz, E., Stein, I., Andreozzi, M., Nemeth, J.,
Shoham, A., Pappo, O., Schweitzer, N., Tornillo,
L., Kanarek, N., Quagliata, L., et al. (2014). Cancer
Discov. Published online March 31, 2014. http://
dx.doi.org/10.1158/2159-8290.CD-13-0782.
Kwak, E.L., Bang, Y.J., Camidge, D.R., Shaw, A.T.,
Solomon, B., Maki, R.G., Ou, S.H., Dezube, B.J.,
Ja¨ nne, P.A., Costa, D.B., et al. (2010). N. Engl. J.
Med. 363, 1693–1703.
Llovet, J.M., and Hernandez-Gea, V. (2014). Clin.
Cancer Res. 20, 2072–2079.
Llovet, J.M., Ricci, S., Mazzaferro, V., Hilgard, P.,
Gane, E., Blanc, J.F., de Oliveira, A.C., Santoro,
A., Raoul, J.L., Forner, A., et al.; SHARP Investiga-
tors Study Group (2008). N. Engl. J. Med. 359,
378–390.
Llovet, J.M., Pen˜ a, C.E., Lathia, C.D., Shan, M.,
Meinhardt, G., and Bruix, J.; SHARP Investigators
Study Group (2012). Clin. Cancer Res. 18, 2290–
2300.
Sawey, E.T., Chanrion, M., Cai, C., Wu, G., Zhang,
J., Zender, L., Zhao, A., Busuttil, R.W., Yee, H.,
Stein, L., et al. (2011). Cancer Cell 19, 347–358.
Villanueva, A., and Llovet, J.M. (2014). Nat Rev.
Clin. Oncol. 11, 73–74.
562 Cancer Cell 25, May 12, 2014 ª2014 Elsevier Inc.
Cancer Cell
Previews

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Cancer Cell News and Views

  • 1. Focal Gains of VEGFA: Candidate Predictors of Sorafenib Response in Hepatocellular Carcinoma Josep M. Llovet1,2,3,* 1Mount Sinai Liver Cancer Program, Division of Liver Diseases, ICAHN School of Medicine at Mount Sinai, New York, NY 10029, USA 2HCC Translational Research Lab, BCLC Group, Liver Unit, IDIBAPS, CIBERehd, Hospital Clı´nic, University of Barcelona. Barcelona 08036, Catalonia, Spain 3Institucio´ Catalana de Recerca i Estudis Avanc¸ ats, Barcelona 08036, Catalonia, Spain *Correspondence: josep.llovet@mssm.edu http://dx.doi.org/10.1016/j.ccr.2014.04.019 Focal amplifications in 6p21 containing the VEGFA locus occur in 7%–10% of hepatocellular carcinoma (HCC). A recent paper describes how VEGF-A stimulates paracrine secretion of hepatocyte growth factor by stromal cells, which induces tumor progression. HCC patients with VEGFA amplification are distinctly sensitive to sorafenib. Liver cancer is a major health problem and the second cause of cancer death after lung cancer. Hepatocellular carci- noma (HCC) develops in patients with underlying chronic liver inflammation related to viral infection, alcohol, or meta- bolic syndrome. Sorafenib remains the only approved systemic drug for patients at advanced stages of the disease (Llovet et al., 2008). Molecular therapies targeting signaling cascades involved in hepato- carcinogenesis have been explored in phase III clinical trials, but none of the drugs tested showed positive results in first- (brivanib, sunitinib, erlotinib, and linifanib) or second-line therapy (brivanib and everolimus) after progression on sor- afenib (Llovet and Hernandez-Gea, 2014). Thus, there is an urgent need to identify molecular subclasses of HCC driven by specific genetic aberrations that can be effectively targeted recapitulating the success of crizotininb in ALK-rearranged lung cancer (Kwak et al., 2010) or vemur- afenib in BRAF mutant melanoma. Recent studies have provided a broad picture of the mutational profile in HCC and identified an average of 30–40 muta- tions per tumor, among which 6–8 might be drivers (Villanueva and Llovet, 2014; Guichard et al., 2012). Common muta- tions are described in the TERT promoter, TP53, CTNNB1, ARID1A, and AXIN1. Deep-sequencing studies confirmed frequent TP53 and CTNNB1 mutations in HCC and pointed to novel HCC-associ- ated mutations in genes involved in chromatin remodeling (ARID1A and ARID2), ubiquitination (KEAP1), RAS/ MAPK signaling (RPS6KA3), oxidative stress (NFE2L2), and the JAK/STAT pathway (JAK1) (Villanueva and Llovet, 2014; Guichard et al., 2012) (Table 1). Studies assessing copy number alter- ations in HCC have consistently identified high-level amplifications at 5%–10% prevalence containing oncogenes in 11q13 and 6p21, whereas other more common gains reported contain MYC and MET (Villanueva and Llovet, 2014; Guichard et al., 2012; Chiang et al., 2008). We described amplifications of 11q13 in 5%–10% of tumors, pointing to several candidate oncogenes including CCND1 (Chiang et al., 2008). Subse- quently, both CCND1 and FGF19 were identified in experimental models as bona fide oncogenes in HCC and poten- tial targets for therapy (Sawey et al., 2011). This finding prompted the design of proof-of-concept trials testing FGFR4 inhibitors in patients with 11q13 focal amplification containing FGF19. Similarly, we defined high-level gains (more than four copies) of 6p21 containing VEGFA in 8% of cases out of 210 HCC patients explored. Interestingly, there was a signif- icant correlation between 6p21 gains and VEGF-A mRNA expression (Chiang et al., 2008). Now an elegant study by Pikarsky’s group (Horwitz et al., 2014) demonstrated that a subset of mouse and human HCCs harbors VEGFA/Vegfa genomic amplifications. They explored the unique role of paracrine interactions by which VEGF-A overexpression in HCC cells leads to production of hepato- cyte growth factor (HGF) by stroma that reciprocally induce cancer cell prolifera- tion. Interestingly, VEGF-A inhibition in experimental models induced HGF down- regulation, and patients with VEGFA amplification responded better to the multi-kinase inhibitor sorafenib. Horwitz et al. (2014) found that 14% of HCC tumors developing in a mouse model of inflammation-driven cancer (MDR2-deficient mice) harbored an am- plicon in a region syntenic to the human 6p21 region (Chiang et al., 2008). They confirmed VEGFA amplifications and/or chromosome 6 polysomy in 11% of hu- man HCCs (out of 187 cases tested). In experimental models, there was a correla- tion between VEGFA/Vegfa gains and expression levels (mRNA and protein). To elucidate the mechanism by which VEGFA amplifications induced tumor pro- gression, the authors first demonstrated that animals with amplification showed a higher vessel density, macrophage con- tent, and enrichment for tumor-associ- ated macrophage expression signatures. A relevant finding of the investigation is macrophage-tumor cell crosstalk. VEGFA amplified tumors showed higher mRNA levels, and nonneoplastic stromal cells in the microenvironment had positive HGF immunostaining. Using cells isolated from the experimental HCC models, the authors demonstrated that hepatocytes overexpressed c-Met and macrophages overexpressed VEGFRs. In vivo studies showed that VEGF-A overexpression in HCC cells induced upregulation of HGF, mostly in macrophages, and led to increased proliferation and pro-angio- genic features. Functional confirmation of the role of VEGF-A was obtained by blocking it in MDR2-deficient mice and 560 Cancer Cell 25, May 12, 2014 ª2014 Elsevier Inc. Cancer Cell Previews
  • 2. Hep3B xenograft models. A short course of sorafenib treatment in animals with VEGFA focal gains resulted in VEGF-A inhibition, decreased HGF levels, and an associated decrease in HCC proliferation. This finding is consistent with the decrease in HGF plasma levels observed in HCC patients undergoing sorafenib treatment (Llovet et al., 2012). Finally, the authors retrospectively explored a cohort of HCC patients undergoing resec- tion who were further treated with sorafe- nib. FISH-based selection of focal VEGFA gains defined a group of patients with better outcome, pointing to this biomarker as a potential predictor of sorafenib response. Taken all together, Horwitz et al.’s paper provides experimental confirmation that VEGF-A has oncogenic properties in hepatocarcinogenesis by inducing para- crine secretion of HGF in stromal cells, specifically macrophages, which in turn lead to cancer cell proliferation. Notably, it would have been relevant to explore if a genetically-engineered mouse model reproducing this genomic aberration in a tissue-specific manner would have been able to recapitulate this result. Similarly, although the outcome of patients bearing VEGFA amplification suggests that they have a better response to sorafenib, the retrospective nature of the results pre- cludes any firm conclusion. However, they nicely point toward further steps in designing prospective and poof-of- concept trials to confirm the hypothesis. HCC is in need of additional molecular treatments in first- and second-line ther- apy and in the adjuvant setting. Reasons for recent trial failures are heterogeneous and include a lack of understanding of critical drivers of tumor progression and dissemination, liver toxicity, flaws in trial design, or marginal antitumoral potency (Llovet and Hernandez-Gea, 2014). Ongoing trials testing drugs head-to- head against sorafenib in all-comers might have difficulties in achieving supe- rior results in first-line therapy. Novel trials are currently designed to test drugs in biomarker-based HCC patient subpopu- lations. In this regard, the consequences of Horwitz et al.’s study are 2-fold. First, whether VEGFA-amplified tumors repre- sent a specific HCC subclass that responds better to sorafenib requires prospective confirmation with optimal control for confounding/concurring fac- tors. Phase III trials testing sorafenib have proven beneficial in all subgroup analysis of patients with advanced tumors (Bruix et al., 2012). Thus, the question to be explored is whether VEGFA amplified tumors certainly respond even better to this drug. Interestingly, a recent large phase III study testing sorafenib in the adjuvant setting did not meet the primary end-point of recurrence-free survival. Whether a subgroup of patients with VEGFA amplification might benefit from this drug in the adjuvant setting can now be elucidated. Second, high-level VEGFA-amplification can be used as a biomarker in phase II pivotal proof-of- concept studies testing drugs blocking VEGF-A or VEGFR2 receptors. Other drugs beyond sorafenib, such as ramu- rafenib (a monoclonal antibody against VEGFR2) or bevacizumab can be ex- plored. In addition, dual VEGF-A and c-Met inhibitors appear to be appealing in this setting. Such inhibitors (e.g., cabo- zantinib) are being tested in phase III trials for second-line therapy. We are facing a new era for testing drugs in HCC as a consequence of discovering novel oncogenic drivers (see Table 1). Although nonspecific drugs will still be explored targeting all patients, pivotal proof-of-concept trials or those with biomarker-based enrichment will emerge for specific pockets of HCC patients, which can completely change the treatment paradigm. The study by Pikarsky’s group provides relevant infor- mation for moving toward this direction (Horwitz et al., 2014). ACKNOWLEDGMENTS J.M.L. has grants from NIH-NIDDK (1R01DK076986-01), National Institute of Health (Spain) I+D Program (SAF-2010-16055), the Samuel Waxman Cancer Research Foundation, the European Commission Framework Pro- gramme 7 (Heptromic, proposal number 259744), and the Asociacio´ n Espan˜ ola para el Estudio del Ca´ ncer. REFERENCES Bruix, J., Raoul, J.L., Sherman, M., Mazzaferro, V., Bolondi, L., Craxi, A., Galle, P.R., Santoro, A., Beaugrand, M., Sangiovanni, A., et al. (2012). J. Hepatol. 57, 821–829. Chiang, D.Y., Villanueva, A., Hoshida, Y., Peix, J., Newell, P., Minguez, B., LeBlanc, A.C., Donovan, D.J., Thung, S.N., Sole´ , M., et al. (2008). Cancer Res. 68, 6779–6788. Guichard, C., Amaddeo, G., Imbeaud, S., Ladeiro, Y., Pelletier, L., Maad, I.B., Calderaro, Table 1. Landscape of the Most Prevalent Mutations and High-Level Gene Amplifications in Human Hepatocellular Carcinoma Gene Pathways/Gene Functions Involved Estimated Frequency Based on Deep-Sequencing Studies (%) Driver Genes Frequently Mutated in HCC TERT promoter telomere stability 60 TP53 genome integrity 20–30 CTNNB1 WNT signaling 15–25 ARID1A chromatin remodeling 10–16 TTN chromosome segregation 4–10 NFE2L2 oxidative stress 6–10 JAK1 JAK/STAT signaling 0–9 Oncogenes/Tumor Suppressors Rarely Mutated in HCC IDH1, IDH2 NAPDH metabolism <5 EGFR growth factor signaling <5 BRAF RAS/MAPK signaling <5 KRAS, NRAS RAS/MAPK signaling <5 PIK3CA AKT signaling <5 PTEN AKT signaling <5 Oncogenes Contained in High-Level Amplifications in HCC FGF19 FGF signaling 5–10 CCND1 cell cycle 5–10 VEGFA HGF signaling/angiogenesis 7–10 Modified from Llovet and Hernandez-Gea (2014). Cancer Cell 25, May 12, 2014 ª2014 Elsevier Inc. 561 Cancer Cell Previews
  • 3. J., Bioulac-Sage, P., Letexier, M., Degos, F., et al. (2012). Nat. Genet. 44, 694–698. Horwitz, E., Stein, I., Andreozzi, M., Nemeth, J., Shoham, A., Pappo, O., Schweitzer, N., Tornillo, L., Kanarek, N., Quagliata, L., et al. (2014). Cancer Discov. Published online March 31, 2014. http:// dx.doi.org/10.1158/2159-8290.CD-13-0782. Kwak, E.L., Bang, Y.J., Camidge, D.R., Shaw, A.T., Solomon, B., Maki, R.G., Ou, S.H., Dezube, B.J., Ja¨ nne, P.A., Costa, D.B., et al. (2010). N. Engl. J. Med. 363, 1693–1703. Llovet, J.M., and Hernandez-Gea, V. (2014). Clin. Cancer Res. 20, 2072–2079. Llovet, J.M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.F., de Oliveira, A.C., Santoro, A., Raoul, J.L., Forner, A., et al.; SHARP Investiga- tors Study Group (2008). N. Engl. J. Med. 359, 378–390. Llovet, J.M., Pen˜ a, C.E., Lathia, C.D., Shan, M., Meinhardt, G., and Bruix, J.; SHARP Investigators Study Group (2012). Clin. Cancer Res. 18, 2290– 2300. Sawey, E.T., Chanrion, M., Cai, C., Wu, G., Zhang, J., Zender, L., Zhao, A., Busuttil, R.W., Yee, H., Stein, L., et al. (2011). Cancer Cell 19, 347–358. Villanueva, A., and Llovet, J.M. (2014). Nat Rev. Clin. Oncol. 11, 73–74. 562 Cancer Cell 25, May 12, 2014 ª2014 Elsevier Inc. Cancer Cell Previews