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The Role of Microenvironment in Susceptibility to Age-related Breast
Cancers
Mark A LaBarge, PhD
City of Hope
For the Gayle Brinkenhoff Symposium
On November 14, 2017
1
Disclosures:I own stocks in Medicustech, and am a consultant for Thrive Biosciences. Issues pertaining to neither entity are being discussed by me.
2
CD227+
K19+ K8+
K14+ : K19+
1:1
Luminal
Myoepithelial
Stem cell Progenitor
Axl+cKit+CD10+K14+
Villasen etal JCB 2007Garbe etal Cancer Res 2012LaBarge and Lorens in reveiw
Contractile &Tumor suppressive
Secretory
Stem/Progenitors
3
4
The role of aging in breast cancer is a huge problemN
ew
ca
se
s
Pe
r 1
00
,00
0 w
om
en
Age at diagnosis
American Cancer Society. Jenkins etal The Oncologist 2014.
~80% diagnosed in
women aged >50
years
LUMINAL SUBTYPES
Age group
5
The role of aging in breast cancer is a huge problem
American Cancer Society, 2017
The State of Obesity, 2017
CDC predicts
increased
incidence of
post-meno BCs
due to trend of
>BMI CDC, 2015
CDC predicts a 21% increase in all cancer cases
by 2020 due to a larger proportion of aged
individuals.
Yabroff etal, Cancer Epidemiology Biomarkers & Prev 2011
Exp
en
ditu
res in
Bill
ions o
f U
SD
The economic burden of breast cancer
treatment to the US healthcare
economy may cost as much as $24B
by 2020.
Breast cancer incidence
6
Density (
density x
100=
%)
Age at diagnosis
Adapted from Matsuno etal, Can Epidem Biomarkers & Prev 2007
USA SEER (Caucasian in HI)
Japan (Osaka)
Japanese American (in HI)
1993-1997
This portion should be
preventable
Are age-related breast cancers preventable?
7
Low mRNA expression
High mRNA expression
Breast tumors
oldyoung
Genes
Individuals
Aging impacts transcriptomes but not genomes in hormone-
dependent breast cancers, and normal breast
Yau etal BrCanRes 2007
27 77AGE
Normal mammary epithelia
Genes
Individuals
Garbe etal CanRes 2012
Discontinuities in
Extra Cellular Matrix (ECM)
co
llag
en
fat
Age (years)
Age (years)
75
75
30
30
Changes in breast microenvironment
How bad can it get when normal architecture is disrupted?
Dolberg and Bissell, Nature, 1984
+Laminin Laminin Blockade
Tissue polarity
LaBarge & Cahjar etal
Barcellos-Hoff Can Res 2000
0cGy
40cGy
Laminin Collagen
ES
A
MU
C-1
Gudjonnson JCS 2002
Overt disruptions unleash malignancies
Wound healing
Irradiated stroma
Not so bad (normal cells) Really bad (w/ pre-existing mutations)
8
9
HER2+
Tneg
HR+ HER2-
Represents majority of age-related BC
Risk of recurrence in age-related breast cancers is protracted
Esserman etal and Benz, Br Can Res Trt 2011
Dis
ease
Sp
ecif
ic S
urv
ival
Time Since Diagnosis (years)
10
Aging raises questions aplenty…
What is the relationship between normal changes that occur with age and
increased susceptibility to breast cancers?
Why are there disproportionately more Luminal subtype BCs in older women?
How might age- (and cancer)-related tissue microenvironments impact
responses to cancer therapy?
A resource of normal, pre-stasis HMEC for functional interrogation of aging.
0
20
40
60
80
0 20 40 60 80 100 120
Po
pu
lati
on
Do
ub
lin
gs
Days in culture
Commercial #1WIT-P Commercial #2
MEGM
Stasis
Cancer Research 2012, JoVE 2013, Cell Rep 2014, PNAS 2011 & 2015, Aging 20172
Long-term growth of primary cells Multi-lineage maintenance
Se
lf-org
an
iza
tion
t = 2
4 h
rt =
96
hr
lum
en
ize
d
correct
inverted
ag
aro
se
ag
aro
se
Ma
trige
l
ABC
t = 2
4 h
r
Ma
trige
l
D
0.0
1.0
frequency
ag
aro
se
Ma
trige
l
I
II
III
IV
V
EF
LEP MEP
ECM ECM
LEP
MEP
LEP MEP
HG
0
50
100
150
contact angle
0
50
100
150
contact angle
ME
P
ME
P
LE
P
LE
P
ME
P
LE
P
ME
P
EC
M
LE
P
EC
M
ME
P
LE
PL
EP
ME
P
ME
P
LE
P
t = 0
K14 K
19
CT
R C
TG
Self-organization
t = 24 hr t = 96 hr
lumenized
co
rrect
inv
ert
ed
agarose
agarose
Matrigel
A
B
C
t = 24 hr
Matrigel
D
0.0
1.0
fre
qu
en
cy
agarose Matrigel
I II III IV V
E
F
LE
PM
EP
EC
ME
CM
LE
P
ME
P
LE
PM
EP
HG
0
50
100
150
co
nta
ct a
ng
le
0
50
100
150
co
nta
ct a
ng
le
MEP
MEP
LEP
LEP
MEP
LEP
MEP
ECM
LEP
ECM
MEP
LEP LEP
MEP
MEP
LEP
t = 0
K14 K19
CTR CTG
1h
24h
96h
Self-organizing
15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 950
2
4
6
8
10
Age of donor (years)
Num
ber
of H
ME
C s
train
s
2D culture
Progenitor activity in 3-D culture
240R Diversity Index over Passage
2 4 6 8 10 120.0
0.2
0.4
0.6
0.8
1.0M87A
WIT-P
MCDB170
Passage
Sh
an
no
n D
ive
rsity In
de
x (
ln)
208 Diversity Index over Passage
2 4 6 80.0
0.2
0.4
0.6
0.8M87A
WIT-P
MCDB170
Passage
Sh
an
no
n D
ive
rsity In
de
x (
ln)
Baseline
Total Area
Total Peak Area
Number of Peaks
Peak 1
First X=
Last X=
Peak X=
Peak Y=
Area=
%Area=
M87A
0.0
2.733
2.733
1.000
2.000
7.000
4.000
0.7052
2.733
100.0
WIT-P
0.0
1.369
1.369
1.000
2.000
7.000
2.000
0.6291
1.369
100.0
MCDB170
0.0
0.9688
0.9688
1.000
2.000
7.000
4.000
0.3103
0.9688
100.0
Baseline
Total Area
Total Peak Area
Number of Peaks
Peak 1
First X=
Last X=
Peak X=
Peak Y=
Area=
%Area=
M87A
0.0
3.330
3.330
1.000
2.000
11.00
4.000
0.8528
3.330
100.0
WIT-P
0.0
2.374
2.374
1.000
2.000
7.000
2.000
0.7009
2.374
100.0
MCDB170
0.0
0.4445
0.4445
1.000
2.000
7.000
2.000
0.3031
0.4445
100.0
LBNL
media#1
#2
Large, standardized batches of normal, pre-stasis HMEC from more than 70 reduction or mastectomy patients.
Keratin 14/19
Signs of accelerated aging in luminal cells from high-risk breast tissue
12
Vatter, Bodenmiller, LaBarge, and Lorens– in revision
Tumor, Peripheral to tumor, BRCA1 or ATM mut
No history
Young and middle-aged epithelia that were incorrectly predicted by machine learning to be “old” were from high-risk women
CYTOF analysis of 57 primary strains with 29 monoclonal antibodies
27 77AGE
Laser microdissected normal human mammary epithelium
Wiring diagrams (transcriptomes) change with age:What are the functional consequences?
Why are the aging phenotypes so stable?
Cancer Research 2012
Primary cultured normal human mammary epithelial cells
<30y
>55y
Stiffness E(Pa)
Did not differentiate in responseto stiffness changes
Stiffness E(Pa)
Mammary stem cells accumulate with age
because they lose sensitivity to
microenvironment differentiation directives
Distinct stiffness-dependent differentiation responsesFo
ld c
han
geFo
ld c
han
ge
Cancer Research 2012
Epithelia composition
Cell Reports 2014
YAPP
MST2
Makes Myoeps
Aging alters the trigger points of proteins used by cells to communicate mechanical information into the nucleus
,which initiate differentiation programs
In young progenitor cells…MST2 levels
200Pa 2350Pa
Cell Reports 2014
YAPP
MST2
Makes basal-like Luminals!!
But in older progenitor cells…
MST2
MST2
MST2
MST2
MST2
200Pa 2350Pa
MST2 levels
Cell Reports 2014
Aging alters the trigger points of proteins used by cells to communicate mechanical information into the nucleus
,which initiate differentiation programs
Hypothesis: As tissue ages the new microenvironments establish a continuum of metastable epigenetic states..
Oyer… , and Turker PlosONE 2009
Len
gth
of
tim
e re
pre
sse
d
Length of time repressed = likelihood of promoter methylation
AGING
17
Luminal cell DNA genome-wide methylation patterns cluster according to chronological age
18Analysis of primary HMEC with Infinium450K arrays
Older Younger
Sayaman and Miyano
Transcriptionally and epigenetically epithelial cells lose tissue specificity with age
Miyano etal, Aging 2017
Maintenance of luminal (LEP) cells requires the correct microenvironment.
Rat
io o
f LE
P c
om
par
ed t
o d
ay 4
Miyano etal, Aging 2017
measure
Aged microenvironments drive loss of lineage fidelity that are made metastable by epigenetic regulatory states
Luminal
Myoepithelial
YOUNGMEP
YOUNGLEP
LEP specific genesPromoter
=young gene expression patterns
LEP specific genesPromoter
5mC 5mC 5mC5mC
OLDMEP
=OLD gene expression patterns
Young-LEP/Old-MEP
Young-LEP/
Young-MEP
You
ng LEP
-1o
You
ng LEP
-1o
You
ng LEP
-1o
You
ng LEP
-1o
You
ng LEP
-1o
Old
-LEP-1
o
Old
-LEP-1
o
Old
-LEP-1
o
Old
-LEP-1
o
Gen
e ex
pre
ssio
n
Miyano etal, Aging 2017
Promoter DNA methylation changes in key luminal-specific genes driven by
age of myoepithelial cells
22
Y / Y
Y / O
0
20
40
60
80
100
*
*
% o
f ce
lls w
ith
met
hyl
ated
DN
A in
exa
min
ed
regi
on
<30y vs >55y in LEPM-value Differential Methylation
* BH adj. p-val < 0.05
** BH adj. p-val < 0.01
*** BH adj. p-val < 0.001
DN
A M
eth
ylat
ion
Bet
a V
alu
es
DN
A M
eth
ylat
ion
Bet
a V
alu
es
y/yy/o
Primary LEP
Primary LEP in Co-culture with MEP
Miyano etal, Aging 2017
23
Blockade of cell-cell communication proteins with higher and more variable expression with ageprevents transmission of the aged phenotype into luminal cells by older myoeps.
Chemical blockade Cx30 knock down in MEP
Miyano, unpublished
Immortalization re-sensitized YAP (and TAZ) to the physiological elastic range
24
66 years 91 years
Log2
fo
ld c
han
geFr
om
20
0P
a
-2
-1
0
1
2
200 Pa 1500 Pa 2400 Pa
LEP
MEP
Differentiation
122LMY 805Pp16S
Cell Reports 2014
Epithelia loses specificity with age due largely to epigenetic changes, what are the consequences for transformation?
25
Cancer Res 2012, Cell Reports 2014
32y
67y
K14K19nuclei
% o
f ce
lls
34y 54y
LEP
MEP LE
P
MEP
(N)uclear
(C)ytoplasmic
(N/C) nuc & cyto
Two-hit immortalization does not introduce gross genomic errors in HMEC
26
AGE (y)
19
21
91
66
Cell Cycle 2014
Array comparative genomic hybridization
240Lp16shMY_25p
184Dp16shMY_30p
805Pp16shMY_10p
122Lp16sMY_12p
Immortalization re-sensitizes aged progenitors to a physiological range of stiffness
27
66 years 91 years
Immortal non-malignant
Primary normal
<30y
>55y
Cell Reports 2014
Immortal post-menopausal HMEC tend to maintain phenotypes of Luminal BC
28
DAPIbeta-catenin Estrogen receptor alpha
Keratin 14Keratin 19DAPI
Age=19y Age=66y
240Lp16sMy 122Lp16sMy
Front in Cell Dev Bio, 2015
Epigenetic states of chronological age and the route of stasis bypass determines cancer subtype
29Front in Cell Dev Bio, 2015
The roles of tissue microenvironments in…
30
Aging &
breast cancer
Epithelial plasticity
Drug response
Molecular
compositionsECM
Growth factor
Mechanical
propertiesSubstrata stiffness
Shear force
ArchitecturePolarity
Dimension
Cell
Cellular
Microenvironment microarray platforms for functional dissection of the microenviroment
32
MicroEnvironment MicroArray (MEMA)A highly parallel cell-based functional screening platform
Cell – ECM
Cell – Cell
Cell – Soluble Factor
Elasticity and Geometry
Thousands of spots per MEArray
Uses standard microarray robot technology
Functionally assess lineage commitment, cell proliferation, and cell death.
Analyzed with fluorescent mAbProgenitors on an MEArray
MyoepLuminalIntegrative Biology, 2009
Combinatorial Microenvironments Impose aContinuum of Cellular Responses to a SinglePathway-Targeted Anti-cancer Compound (Lapatinib)
tSN
E-2
tSNE-1
Inte
nsi
ty m
arke
r 1
Intensity marker 2
Single cell data
Visualization ofcell phenotypes
as functional of ME
Cell Reports 2017
ME1 ME2 ME3
Generalized linear models (GLM) identified individual ME components that had strong effects on Lapatinib responses
Cell Reports 2017
Breast Cancerw/HER2 amp
Lung Cancerw/HER2 amp
Prostate Cancerw/HER2 amp
Cell lines thatrepresent:
GLM can identify synergies between microenvioronment properties (Stiffness and ECM)
Cell Reports 2017
More resistant
More sensitive
Microenvironment-driven morphology co-organizes with drug-response phenotypes, providing clues to therapeutic combinations
Cell Reports 2017
Microenvironments modulate ratios of pHER2 to total HER2 in HER2-amplified BC cells, which correlates with Lapatinib resistance
Relevant summary from previous figures:The rigidity and ECM properties independently drove the most variation in HCC1569 responses to Lapatinib, and EGF showed potential synergy with these properties. FN was specifically implicated.
Cell Reports 2017
+DM
SO
+Lap
atin
ibRigidity ECM Soluble factors
Reports on predictability of anti-HER2 therapy efficacy based on pHER2/HER2 ratios is variable. Context matters….
Adhesion to FN confers resistance to Lapatinib via a Src-YAP related pathway:Drug-tolerance in defined contexts enables identification of work-arounds.
Adhesion to FN activates a FAK-Src-YAP pathway in mammary epithelial cell lines (Kim and Gumbiner, 2015). AZ = AZ0530, a Src inhibitor
FN drives YAP activationIndependent of rigidity
(N)uclear
(C)ytoplasmic
(N/C) nuc & cyto
Cell Reports 2017
Do the functional results that identified FN as a modulator of Lapatinib stand up in patients?
YAP/FN protein level associations
FN protein level survival associationsSUBTYPE
Cell Reports 2017
FN protein level survival associationsTumor GRADE
There are many neighborhoods in a tumor that may have the capacity to increase tolerance to a drug by a non-genetic mechanism…
e.g. This is FN staining in 4 different ductal carcinomas.
1) Cellular phenotypes of aging and high-risk, differentiation, and drug responses are significantly determined by the ME in normal and malignant mammary epithelial cells.
2) Failure to achieve durable drug responses in cancers may have as much to do with heterogeneous tumor MEs, as it does with genetic heterogeneity.
3) Cellular phenotypes of aging in breast, which are related to susceptibility, are transmissible and malleable… is aging in breast preventable?
Take aways
Endocrine changes
lum
en
Stroma Epithelia
WBC
MEP LEPFAT
FB
Stem
Collaborators
LBNL
Mina Bissell
Bahram Parvin
Hang Chang
Ben Brown
University of California Berkeley
Sanjay Kumar
Lydia Sohn
University of California San Francisco
Zev Gartner
Valerie Weaver
Catherine Park
Susan Samson (advocate)
University of California Davis
Sandy Borowsky
University of Copenhagen, Denmark
Ole Petersen
University of Bergen, Norway
James Lorens
Oregon Health Sciences University
Joe Gray
James Korkola
Laura Haiser
Notes4hope.org
Sandy Preto (advocate)
We are grateful for support from:
• National Institutes of Health (R01AG040081, R00AG033176, R01EB024989 )
• Era of Hope Scholar Award, DOD CDMRP
• NIH’s Library of Integrated Network-Based Cellular Signatures (LINCS)
• CoH Center for Cancer and Aging
• Circle 1500
• California Breast Cancer Research Program
• Anita Tarr Turk Fund for Breast Cancer Research
City of HopeMasaru MiyanoMichael TodhunterRosalyn SayamanStefan HinzTiina JokelaSundus ShalabiArrianna ZirbesJennifer Lopez
Lawrence Berkeley LabMartha StampferJames GarbeTara FresquesChunHan Lin (Graduated)