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PRECLINICAL STUDY
Prognostic and biological significance of proliferation and HER2expression in the luminal class of breast cancer
Dena A. Jerjees • M. Alabdullah • Andrew R. Green •
Alaa Alshareeda • R. D. Macmillan •
Ian O. Ellis • Emad A. Rakha
Received: 16 January 2014 / Accepted: 26 March 2014 / Published online: 18 April 2014
� Springer Science+Business Media New York 2014
Abstract The definition of Luminal-B subclass of breast
cancer (BC) varies in literature. In this study, we have
compared the proliferation status; assessed using KI67
labeling index (KI67-LI), and HER2-expression in estro-
gen receptor positive (ER?) BC to assess their impact on
the biological and clinical characteristics of luminal-BC.
1547 (73.8 %) well-characterized clinically annotated
stage I–III ER ? BC were assessed for expression of KI67,
HER2 (ASCO guidelines), and a large panel of relevant
biomarkers (no = 37). 46.3 % of the cases show high
KI67-LI ([13 %) and 8.4 % show HER2? and both
markers are positively associated with younger age, higher
tumor grade and poorer outcome. High KI67-LI and
HER2? are associated with upregulation of ER-coactiva-
tors and proliferation-related markers and with downregu-
lation of good prognostic markers. High KI67-LI is
associated with larger size, advanced stage, and lympho-
vascular invasion (LVI) and with downregulation of
luminal-enriched and DNA-damage repair markers. In
contrast, HER2? is associated with upregulation of ER-
regulated proteins and E-cadherin. When analysis is
restricted to high KI67-LI subgroup, HER2? shows an
association with upregulation of differentiation-associated
proteins and E-cadherin. Conversely, within HER2? class,
high KI67-LI maintains its association with downregula-
tion of differentiation-associated/luminal-enriched pro-
teins. Outcome analyses indicate that both markers are
independently associated with shorter survival but HER2?
is associated with a worse outcome. Although both are
associated with high proliferation and poor prognosis
within ER ? BC, HER2? is less frequent than high KI67-
LI. Unlike KI67, HER2 seems to independently drive the
aggressive behavior of ER? tumors without downregula-
tion of luminal proteins.
Keywords Breast carcinoma � Molecular classes �Immunohistochemistry � HER2 � KI67
Introduction
In mammary tissue, estrogen receptor (ER) regulates
growth and development by regulating the balance between
cell proliferation and differentiation [1, 2]. In BC, ER
expression which is observed in 80–85 % of cases, pro-
vides a prognostic and predictive value; indicating good
prognosis [3] and response to hormone therapy [4]. Gene
expression profile (GEP) has classified BC into distinct
molecular classes and identified ER in addition to HER2
and proliferation as key players regulating its molecular
profile. ER-expressing tumors are clustered together in the
so called ‘‘luminal class,’’ which is associated with a good
prognosis [5]. Subsequent GEP studies have sub-stratified
luminal-BC into at least two subclasses: A and B with the
latter associated with poor prognosis [6–8]. Although most
immunohistochemical studies have defined luminal-A
D. A. Jerjees (&) � A. R. Green � A. Alshareeda �I. O. Ellis � E. A. Rakha
Department of Histopathology, University of Nottingham and
Nottingham University Hospitals NHS Trust, Nottingham, UK
e-mail: [email protected]
D. A. Jerjees
Department of Pathology, Mosul School of Medicine, Mosul,
Iraq
M. Alabdullah
Department of Surgery, School of Medicine, Mosul, Iraq
R. D. Macmillan
Breast Institute, City Hospital, Nottingham, UK
123
Breast Cancer Res Treat (2014) 145:317–330
DOI 10.1007/s10549-014-2941-7
tumors as hormone receptor-positive and HER2-negative,
the definition of luminal-B class remains imprecise. Some
studies have used HER2 positivity [9–11] while others used
KI67-LI [12] and some have used combined HER2-posi-
tivity and/or high proliferation to define luminal-B tumors
[13]. Others contest this and place all HER2-positive
tumors, regardless of hormone receptor expression in the
HER2-positive subgroup [14]. Cheang et al. [15] using
qRT-PCR gene expression profiles have classified BC into
luminal-A (28 %) and luminal-B (19 %). Although in their
study the expression profiling classified hormone receptor-
positive/HER2-positive tumors as luminal-B, using surro-
gate immunohistochemical markers, these authors sepa-
rated luminal tumors (hormone receptor-positive) into
three subgroups based on HER2 and KI67; (i) luminal-A
class defined as HER2-negative and KI67-negative/low,
(ii) luminal-B as HER2-negative and KI67-high and (iii)
luminal-HER2 positive as HER2-positive regardless of
KI67 expression. Survival analysis showed similar out-
come for tumors classified as luminal-B and luminal-HER2
positive. The role of proliferation in defining the luminal-B
class is highlighted in a recently published statement [12].
Although HER2 is a major determinant of BC molecular
profile, there appears to be interaction between HER2 and
ER pathways and this interaction depends on several fac-
tors including ER level, transcriptional co-repressors, and
co-activators [16]. Proliferation plays an important role in
BC outcome and is associated with biological, molecular,
and clinical features characteristic of aggressive behavior
[17, 18]. Upregulation of proliferation-related genes was
also a common theme in most prognostic gene signatures
[12]. Although an inverse correlation between KI67 and
hormone receptor expression has been documented, cor-
relation between KI67 and HER2 remains unclear and both
positive and negative associations have been reported [19–
21]. Therefore, this study aims to investigate the biological
and clinical significance of KI67 and HER2 expression and
coexpression in a large and well-characterized series of
ER-positive/luminal-BC.
Materials and methods
1547 well-characterized and clinically annotated estrogen
receptor (ER)-positive early stage (I–III) operable BCs were
investigated. These cases are part of the Nottingham pri-
mary breast carcinoma series which is composed originally
of 1900 patients who presented between 1988 and 1998.
This series is well-characterized in terms of uniform man-
agement protocol and patients’ prospective assessment. All
patients were\70; the mean age was 54 years. Information
regarding clinical history, age, and menopausal status,
together with tumor characteristics including tumor
histological grade, tumor type, lymphovascular invasion,
lymph node stage, tumor size, and Nottingham Prognostic
Index (NPI) [22], were all taken into consideration. Patient
management was uniform and was based on tumor charac-
teristics by NPI and hormone receptor status as previously
described [23]. None of the patients in this study received
neoadjuvant therapy or adjuvant targeted HER2 treatment.
In terms of the survival data, all were assessed on a pro-
spective basis. BC-specific survival (BCSS) (mean = 123 -
months) is defined as the time in months from the primary
surgery to patient death due to BC. Death due to other causes
is censored. Distant metastasis free interval is defined as the
period in months between the primary surgery and the
occurrence of distant metastasis (mean = 115 months). This
data is routinely updated on the system together with other
information including, loco-regional recurrence that was used
to assess disease free interval (DFI).
Immunohistochemistry
BC tissue microarray (TMA) and whole BC tissue sections
were stained using Streptavidin Biotin complex process.
Regarding HER2, Rabbit antihuman HER2 protein (Dako,
Denmark) was used as a primary antibody with an incu-
bation period of 45 min. The chromogenic substance used
in this method was 3-30 Diaminobenzidin tetrahydrochlo-
dide (Dako liquid DAB plus, K3468, Dako, Denmark). The
counterstaining used for TMA sections was Mayer’s He-
matoxyllin. Furthermore, the positive control was used in
each run according to the supplier’s information and in
such case, the kidney was used. The same protocol for
KI67, but the primary antibody was mouse monoclonal
antibody against KI67 (clone MIB1; Dako, Denmark),
diluted 1:100 in swine serum and then incubated for
60 min after application to each slide using full-face sec-
tions; the cutoff point used to evaluate the KI67 labeling
index (LI) was [13 as previously defined [24]. A large
panel of antibodies was used in this study; the details are in
Table 1. The procedure was performed according to stan-
dard protocol for each antibody as part of studies per-
formed by our group. Details are the same as previously
published [25–28].
Immunohistochemical scoring
Immunoreactivity of HER2 in TMA cases was scored as
proportion of cells stained using standard Hercept test
guidelines. Only cancer cells localized within tissue cores
were considered. High-resolution digital image (Nano-
ZoomerHamamatsuphotomix, Welwyu Garden City, UK)
at 209 and 40ld9, magnification, using a web-based
318 Breast Cancer Res Treat (2014) 145:317–330
123
Table 1 Details of the immunohistochemical markers utilized in this study
Category Markers Dillution Source Pretreatment
1-Oestrogen receptor related proteins
Hormone receptors (HRs) ER [clone 1D5] 1:150 DAKO Microwave
Progesterone receptor(PgR)[clone PgR 636] 1:100 DAKO
Androgen(AR) [clone F39.4.1] 1:30 Biogenex
luminal cytokeratins (CKs) Ck7/8 [clone CAM 5.2] 1:2 Becton Dickinson Microwave
Ck18 [clone DC10] 1:50 DAKO
Ck19 [clone BCK 108] 1:100 DAKO
Basal cytokeratins Ck5/6 [clone D5/16134] 1:100 BoehringerBiochemica Microwave
Ck14 [clone LL002] 1:100 Novocastra
Ck17[clone E3] 1:20 Abcam
Other ER related proteins &
ER co-regulators
Trefoil factor 3(TFF3) 3lg/ml Abcam Microwave
Trefoil factor 1(TFF1 1:2000 Abcam Microwave
Forkhead box protein A1 (FOXA1) [clone 2F83] 1:2,000 Abcam Microwave
AGTR1(angiotensin II receptor type 1)[1E101A9] 1:100 Abcam Microwave
Trans-acting T-cell-specific transcription factor
(GATA3) [HG3-31]
1:80 Santa Cruz
1.30 Biotechnology
Gross cystic disease fluid protein (GCDFP-15) 1:300 Novocastra
Co-activator associated arginine methyl transferase
(CARM1)[clone NB100]
1:100 NOVUS
1:30 NOVUS
Proline, glutamate and leucin rich protein
1(PELP1)[clone NB100]
Abcam
Transferrin receptor (resistance to endocrine treatment: CD
71[clone 10F11]
2-Cell cycle, proliferation and apoptosis related markers
Cell cycle related proteins Cyclin D1 1:50 Neomarkers
Makers of proliferation Thymidine kinase1(TK1)[clone ab72] 5lg/ml Abcam Pressure
Phosphatidylinositol-3 kinase (PI3K) 1:100 Neomarker cook
Protein kinase B (Akt), [clone 17.A] 1:50 DAKO Microwave
Ki-67[clone MIB1] 1:100 DAKO
Apoptosis related markers Bcl2 (pro-apoptotic) [clone 124] 1:100 DAKO Microwave
3-Tumor suppressor proteins, cell adhesion molecules and mucins
Tumor suppressor proteins p53 [clone DO7] 1:50 Novocastra Microwave
BRCA1Ab-1 [clone MS110] 1:150 Oncogene Res Microwave
BEX1[Ab69032] 1:3500 Product Microwave
Fragile histidine triad protein (FHIT) [clone ZR44] 1:600 Abcam
Cell adhesion molecules E-Cadherin [clone HECD-1] Microwave 1:100 Zymed Laboratories Microwave
P-Cadherin [clone 56] 1:200 BD Biosciences
N-Cadherin
Mucins MUC-1core[Ma552] 1:250 Novocastra Microwave
MUC1 1:300 Novocastra Microwave
HER family proteins HER1 [clone EGFR.113] 1:10 Novocastra Microwave
HER2 [clone cerbB-2] 1:250 DAKO Microwave
HER3[clone RTJ1] 1:20 Novocastra
HER4 [clone HFR1] 6:4 Neomarkers
DNA-damage repose genes RAD51 [clone Ab88572] 1:70 Abcam Microwave
BRCA1Ab-1 [clone MS110] 1:150 Calbiochem Microwave
BARD1 [NBP1 19636] 1:50 Novous biological Microwave
yH2AX[ clone Ab 22551] 1:600 Abcam Microwave
Breast Cancer Res Treat (2014) 145:317–330 319
123
interface (Distiller;slidepatht, Dublin, Ireland) was used to
score the TMAs. In addition, chromogenic in situ hybrid-
ization technique (CISH) is used in borderline cases. Dual
color CISH is considered as an extension of HER2 FISH
PharDXTM protocol. However, the air drying and
mounting steps and ultimate dehydration were not applied.
The details of CISH are as previously published [29]. The
evaluation of the dual color CISH slides was performed
Table 2 The association between HER2 and KI67-LI in ER-positive/
luminal tumors
HER2-negative
(%)
HER2-positive
(%)
X2; p value
Low KI67-LI 620 (94) 41 (6) 41.5, \0.001
High KI67-LI 680 (83) 142 (17)
Total 1300 (88) 183 (12) 1483
Table 3 Association between HER2, KI67-LI, and the clinicopathological variables
Clinicopathological variables HER2- HER2? p value Low KI67-LI High KI67-LI p value
Age (years)
\50 370(29.3%) 52(44.8%) 0.001* 164(27.4%) 197(37.2%) \0.001*
[50 892(70.7%) 64(55.2%) 434(72.6%) 333(62.8%)
Menopausal status
Pre 429(33.4%) 53(45.7%) 0.008* 207(33.7%) 207(38.9%) 0.06
Post 854(66.6%) 63(54.3%) 408(66.3%) 325(61.1%)
Size
\2 CM 708(56.3%) 52(45.2%) 0.02 371(62%) 244(46%) \0.001*
[2 CM 549(43.7%) 63(54.8%) 227(38%) 284(54%)
Tubule
1 108(8.8%) 29(1.8%) 0.001* 80(13.5%) 7(1.4%) \0.001*
2 493(40.1%) 34(29.8%) 255(42.9%) 184(35.9%)
3 628(51.1%) 78(68.4%) 259(43.6%) 322(62.8%)
Pleomorphism
1 49(4.0%) 0(0.0%) \0.001* 32(5.4%) 2(0.4%) \0.001*
2 668(54.4%) 22(19.5%) 396(66.8%) 153(29.8%)
3 5119(41.6%) 919(80.5%) 165(27.8%) 358(69.8%)
Mitosis
1 644(52.4%) 10(8.8%) \0.001* 446(75.1%) 72(14.0%) \0.001*
2 252(20.5%) 25(21.9%) 96(16.2%) 143(27.9%)
3 333(27.1%) 79(69.3%) 52(8.8%) 298(58.1%)
Grade
1 334(26.2%) 4(3.5%) \0.001* 240(39%) 24(4.5%) \0.001*
2 555(43.5%) 23(20.5) 299(48.5%) 176(33.2%)
3 387(30.3%) 88(76.5%) 77(12.5%) 330(62.3%)
Stage
1 1831(65.1%) 62(53.9%) 0.03 422(68.5%) 285(53.9%) \0.001*
2 357(28%) 40(34.8%) 153(24.8%) 196(37.1%)
41(6.7%) 48(9.1%)3 88(6.9%) 13(11.3%)
Vascular invasion
NO 883(70.5%) 72(62.1%) 0.05 452(75.6%) 323(61.2%) \0.001*
Definite 370(29.5%) 44(37.9%) 146(24.4%) 205(38.8%)
NPI*
1 569(44.5%) 12(10.5%) \0.001* 359(58.4%) 100(18.9%) \0.001*
2 567(44.4%) 71(62.3%) 218(35.4%) 312(58.9%)
3 142(11.1%) 31(27.2%) 38(6.2%) 530(100.0%)
* significant, NS not significant (p [ 0.07), (borderline: p = 0.01–0.07) and NPI Nottingham prognostic index
320 Breast Cancer Res Treat (2014) 145:317–330
123
Table 4 Association between HER2, KI67-LI, and different proteins used in this study
Markers HER2- HER2? p value Low Ki67 LI High Ki67 LI p value
Hormone receptors
Progesterone receptor
NEG 247(19.8%) 46(40.7%) \0.001* 113(19.2%) 117(22.5%) NS
POS 1001(80.2%) 67(59.3%) 477(80.8%) 402(77.5%)
Androgen receptor
NEG 257(22.4%) 37(35.9%) 0.002* 102(19%) 136(27.9%) 0.001*
POS 892(77.6%) 66(64.1%) 434(81%) 352(72.1%)
Luminal cytokeratins
CK7/8
NEG 1(0.1%) 0(0%) NS 0(0%) 1(0.2%) NS
POS 1248(99.9%) 114(100%) 587(100%) 522(99.8%)
CK18
NEG 54(4.7%) 4(4%) NS 10(1.9%) 35(7.2%) \0.001*
POS 1088(95.3%) 97(96%) 525(98.1%) 453(92.8%)
CK19
NEG 69(5.6%) 6(5.4%) NS 25(4.3%) 39(7.6%) 0.02
POS 1154(94.4%) 106(94.6%) 552(95.7%) 475(92.4%)
Basal cks
CK5
NEG 842(95.9%) 75(96.2%) NS 539(96.3%) 394(95.4%) NS
36(4.1%) 3(3.8%) 14(3.7%) 33(4.2%)POS
CK14
NEG 1078(92.9%) 104(92.9%) NS 503(93.8%) 463(92.6%) NS
POS 83(7.1%) 8(7.1%) 33(6.2%) 37(7.4%)
CK17
NEG 751(93.8%) 68(93.2%) NS 353(95.7%) 336(92.1%) 0.04
POS 50(6.2%) 5(6.8%) 16(4.3%) 29(7.9%)
Other ER-related proteins
FOXA1
NEG 338(44.2%) 42(45.7%) NS 147(42.6%) 171(48.9%) NS
POS 426(55.8%) 50(54.3%) 198(57.4%) 179(51.1%)
BEX1
NEG 226(30.1%) 29(33.3%) NS 95(29%) 108(32.5%0 NS
POS 524(69.9%) 58(66.7%) 233(71%) 224(67.5%)
AGTR1
NEG 157(24.2%) 8(11.4%) 0.04 72(25.6%) 56(19.6%) NS
LOW 205(31.6%) 23(32.9%) 89(31.7%) 86(30.1%)
HIGH 287(44.2%) 39(55.7%) 120(42.7%) 114(50.3%)
TFF1
NEG 432(63.8%) 45(54.9%) NS 191(64.3%) 188(61.2%) NS
245(36.2%) 37(45.1%) 106(35.7%) 119(38.8%)POS
TFF3
NEG 280(41.1%) 18(21.4%) \0.001* 118(40.7%) 115(36.2%) NS
POS 401(58.9%) 66(78.6%) 172(59.3%) 203(63.8%)
GATA3
NEG 320(48.7%) 41(59.4%) NS 143(49.3%) 160(50.8%) NS
POS 337(51.3%) 28(40.6%) 147(50.7%) 155(49.2%)
Breast Cancer Res Treat (2014) 145:317–330 321
123
Table 4 continued
Markers HER2- HER2? p value Low Ki67 LI High Ki67 LI p value
ER- coregulators
CD71
NEG 411(52.6%) 25(30.5%) \0.001* 198(59.6%) 152(43.1%) \0.001*
POS 371(47.4%) 57(69.5%) 134(40.4%) 201(56.9%)
CARM1
NEG 237(31.4%) 19(20.9%) 0.05 111(33.1%) 92(27.3%) 0.01
LOW 388(51.4%) 49(53.8%) 176(52.5%) 168(49.9%)
HIGH 130(17.2%) 23(25.3%) 48(14.3%) 77(22.8%)
PELP1
NEG 157(19.8%) 7(8.5%) 0.04 79(24.1%) 63(17.2%) 0.02
LOW 517(65.1%) 61(74.4%) 212(64.6%) 244(66.5%)
HIGH 120(15.1%) 14(17.1%) 37(11.3%) 60(16.3%)
Cell cycle: Cyclin D1
NEG 191(58.2%) 9(34.6%) 0.01 76(55.1%) 59(51.3%) NS
POS 137(41.8%) 17(65.4%) 62(44.9%) 56(48.7%)
Tumor suppressor: p53
NEG 1039(83.1%) 67(59.3%) \0.001* 507(86.2%) 367(71%) \0.001*
POS 212(16.9%) 46(40.7%) 81(13.8%) 150(29%)
Proloferation markers
TK1
NEG 370(59.3%) 11(18.6%) \0.001* 189(70.5%) 124(40.5%) \0.001*
POS 254(40.7%) 48(81.4%) 79(29.5%) 182(59.5%)
Akt
NEG 167(21.1%) 22(26.5%) NS 78(21.8%) 73(20.6%) NS
POS 625(78.9%) 61(73.5%) 280(78.2%) 282(79.4%)
PI3K
NEG 284(30.5%) 19(20.2%) 0.005* 151(35.7%) 85(21.1%) \0.001*
LOW 280(30.1%) 22(23.4%) 3(2.6%) 109(27%)
HIGH 366(39.4%) 53(56.4%) 134(31.7%) 209(51.9%)
Apoptosis-related markers BCL2
NEG 91(13.2%) 25(35.2%) \0.001* 33(10.5%) 65(20.1%) 0.001*
POS 599(86.8%) 46(64.8%) 282(89.5%) 259(79.9%)
Cell adhesion molecules
E-Cadherin
NEG 461(37.8%) 28(25%) 0.00 215(37%) 169(33.5%) NS
757(62.2%) 84(75%) 7* 366(63%) 335(66.5%)POS
P-Cadherin
NEG 642(62.9%) 37(40.7%) \0.001* 321(67.7%) 255(57.3%) 0.001*
POS 378(37.1%) 54(59.3%) 153(32.3%) 190(42.7%)
N-Cadherin
NEG 461(37.8%) 28(25%) 0.007* 149(37.9%) 123(30.8%) 0.03
POS 757(62.2%) 84(75%) 244(62.1%) 276(69.2%)
Mucins: MUC-1
NEG 68(6.1%) 9(8.7%) NS 22(4.3%) 34(7%) 0.06
POS 1044(93.9%) 95(91.3%) 490(95.7%) 449(93%)
HER family proteins
322 Breast Cancer Res Treat (2014) 145:317–330
123
Table 4 continued
Markers HER2- HER2? p value Low Ki67 LI High Ki67 LI p value
HER-1
NEG 1068(86.8%) 93(81.6%) NS 515(89.1%) 431(82.9%) 0.003*
POS 162(13.2%) 21(18.4%) 63(10.9%) 89(17.1%)
HER-3
NEG 113(10%) 11(10.7%) NS 62(11.9%) 28(5.8%) 0.001*
POS 1020(90%) 92(89.3%) 460(88.1%) 453(94.2%)
HER-4
NEG 206(16.9%) 13(11.8%) NS 115(20.4%) 55(10.6%) \0.001*
POS 1020(83.1%) 97(88.2%) 450(79.6%) 462(89.4%)
DNA repair genes
cH2AX
NEG 148(22.7%) 21(30%) NS 49(17.5%) 89(26.9%) 0.006*
POS 505(77.3%) 49(70%) 231(82.5%) 242(73.1%)
BARD1
NEG 681(92.2%) 73(81.1%) 0.001* 340(93%) 326(89.6%) NS
POS 58(7.8%) 17(18.9%) 23(7%) 38(10.4%)
RAD51
NEG 317(52.1%) 35(59.3%) NS 119(45.1%) 183(63.1%) \0.001*
POS 292(47.9%) 24(40.7%) 145(45.9%) 107(36.9%)
BRCA1
NEG 100(9.9%) 17(18.9%) 0.008* 44(9.3%) 64(14.4%) 0.016
POS 909(90.1%) 73(81.1%) 429(90.7%) 379(85.6%)
Table 5 Associations between high KI67-LI and clinicopathological variables within HER ? tumors
Clinicopathological variables HER? High KI67-LI
Low KI67LI High KI67-LI p value HER2- HER2? p value
Age
\50 5(25%) 37(49.3%) 0.05 154(35.2%) 37(49.3%) 0.01
[50 15(75%) 38(50.7%) 284(64.8%) 38(50.7%)
Menopausal status
Pre 5(25%) 39(52%) 0.03 163(37%) 39(52%) 0.01
Post 15(75%) 36(48%) 277(63%) 36(48%)
Size
\2 CM 10(50%) 31(41.3%) NS 205(46.8%) 31(41.3%) NS
[2 CM 10(50%) 44(58.7%) 233(53.2%) 44(58.7%)
Grade
1 3(15%) 0(0%) \0.001* 23(5.3%) 0(0%) \0.001*
2 8(40%) 11(14.7%) 157(35.8%) 11(14.7%)
3 9(45%) 64(85.3%) 258(58.9%) 64(85.3%)
Tubule
1 1(5.0%) 0(0.0%) 0.02 7(1.7%) 0(0.0%) 0.06
2 9(45.0%) 19(25.3%) 157(37.1%) 19(25.3%)
3 10(50.0%) 56(74.7%) 259(61.2%) 56(74.7%)
Pleomorphism
1 – – 0.002* 2(0.5%) 0(0.0%) 0.001*
2 8(42.1%) 9(12.0%) 137(32.4%) 9(12.0%)
3 11(57.9%) 66(88.0%) 284(67.1%) 66(88.0%)
Breast Cancer Res Treat (2014) 145:317–330 323
123
blindly by the observer and according to the guidelines,
completing the HER2 PharmDXTM kit (Dako, UK).
Regarding KI67-LI was assessed by two pathologists
blinded to patients’ information and outcomes. The full-
face slide was scanned under low-power microscopy for
the area with the highest number of positive tumor nuclei
(hot spots), considering homogenous granular staining,
multiple-speckled staining nuclei, or noclular staining as
positive. Then, the LI was calculated (at high power
magnification 4009) as the percentage of positive tumor
cells from 1,000 malignant cells. Information regarding
scoring of different markers used in this study are as per-
formed as published before [30, 31]. This study was
approved by the Nottingham Research Ethics Committee.
Statistical analysis
SPSS version 21 (SPSS Inc., Chicago, IL, USA) was used
to analyze the data. For the parametric data, Chi-square test
was used to obtain the p value. Mann–Whitney test was
used to analyze the correlation between categorical and
Table 5 continued
Clinicopathological variables HER? High KI67-LI
Low KI67LI High KI67-LI p value HER2- HER2? p value
Mitosis
1 7(35.0%) 2(2.7%) \0.001* 66(15.6%) 2(2.7%) \0.001*
2 6(30.0%) 14(18.7 %) 125(29.6%) 14(18.7%)
3 7(35.0%) 59(78.7%) 232(54.8%) 59(78.7%)
Stage
1 15(75%) 34(45.3%) 0.04 240(54.9%) 34(45.3%) NS
2 3(15%) 33(44%) 157(35.9%) 33(44%)
3 2(10%) 8(10.7%) 40(9.2%) 8(10.7%)
Vascular invasion
NO 16(80%) 43(57.3%) 0.06 270(61.8%) 43(57.3%) NS
Definite 4(20%) 32(42.7%) 167(38.2%) 32(42.7%)
NPI
1 7(35.0%) 3(4.0%) \0.001* 91(20.8%) 3(4.0%) 0.001*
2 11(55.0%) 47(62.7%) 256(58.4%) 47(62.7%)
3 2(10.0%) 25(33.3%) 91(20.8%) 25(33.3%)
Table 6 Associations of high and low KI67-LI with different pro-
teins within HER2? cases
Markers HER2? HER2? p value
Low KI67-LI High KI67-LI
HER3
NEG 4(23.5%) 4(5.8%) 0.02
POS 1(76.5%) 65(94.2%)
TFF1
LOW 13(81.2%) 24(47.1%) 0.01
HIGH 3(18.8%) 27(52.9%)
FOXA1
NEG 12(70.6%) 26(41.9%) 0.03
POS 5(29.4%) 36(58.1%)
GATA3
NEG 10(83.3%) 22(51.2%) 0.04
POS 2(16.7%) 21(48.8%)
Table 7 Associations of HER2? and - with different proteins
within high KI67-LI
Markers High KI67 - High KI67-LI p value
HER2- HER2?
P53
NEG 321(74%) 40(54.8%) 0.001*
POS 113(26%) 33(45.2%)
TFF3
NEG 102(39.4%) 10(18.5%) 0.004*
POS 157(60.6%) 44(81.5%)
TFF1
NEG 159(63.9%) 24(47.1%) 0.02
POS 90(36.1%) 27(52.9%)
E-Cadherin
NEG 148(35.1%) 16(21.9%) 0.02
POS 274(64.9%) 57(78.1%)
324 Breast Cancer Res Treat (2014) 145:317–330
123
non-categorical data in which the distribution is not nor-
mal. Survival curves for BCSS and DMFS were drawn
using the Kaplan–Meier correlation and log-rank tests were
used to estimate the significance. Due to the large number
of parameters included in this study, a two-tailed p value
was considered significant if it was \0.01 and as a bor-
derline if p value was between 0.01 and 0.07.
Results
1,048 cases were informative for KI67 assessment and
1,401 were informative for HER2. 46.3 % of the total ER?
cases showed high KI67-LI and 8.4 % showed HER2
overexpression and both were positively correlated
(Table 2; p \ 0.001). Both KI67-LI and HER2 showed
positive associations with younger age, high-tumor grade
and high-NPI scores. High KI67-LI was associated with
larger size, advanced stage, and definite LVI (p \ 0.001)
while HER2? was associated with premenopausal status
(Table 3). Both high KI67-LI and HER2? were associated
with upregulation of ER-co-regulators (CD-71, CARM1,
and PELP1), proliferation-related markers (PI3KCA, TK1),
and the poor prognostic markers (P-cadherin and p53) and
with downregulation of androgen receptor (AR), Bcl2, and
ER levels.
Interestingly, high KI67-LI was associated with down-
regulation of luminal-enriched proteins (ck18, MUC1 core,
and FHIT proteins) and DNA-damage repair proteins
(cH2AX and RAD51; p \ 0.001) but with upregulation of
the other HER family proteins (HER1, HER3, and HER4).
On the other hand, HER2? was associated with upregu-
lation of the differentiation-associated proteins (TFF3,
E-cadherin and N-cadherin), BARD1 (p = 0.001), and
borderline upregulation of ER-related protein AGTR1,
(Table 4).
To further investigate the influence of HER2 on ER-
pathway, we repeated analysis on different subgroups.
Within high KI67-LI, HER2? was associated with high-
tumor grade and with upregulation of p53 and TFF3. A
trend for upregulation of TFF1 and E-cadherin was also
seen (Tables 5, 6, 7). High KI67-LI compared to HER2?/
low KI67-LI cases was negatively associated with luminal
and ER-related proteins: ck18 and TFF3 (p = 0.007 and
p = 0.002 respectively). In addition, it was associated
with a trend for upregulation of ck19, CD71, and
N-cadherin (p = 0.07, p = 0.03, and p = 0.02 respec-
tively; Table 8).
Outcome analyses
Univariate survival analyses revealed a strong association
between HER2? and high KI67-LI and poor outcome in
terms of shorter BCSS and DFI including shorter DMFS
(p \ 0.001; Fig. 1). Combined expression of HER2 and
KI67 showed that HER2? regardless of KI67-LI is asso-
ciated with the worst prognosis while low KI67-LI/HER2-
negative tumors showed the best outcome (p \ 0.001)
(Fig. 2). Multivariate analysis including tumor stage,
grade, size, and therapy showed that both HER2 and KI67-
LI maintained their independent prognostic significance.
When the analysis was restricted to subgroups, within
high KI67-LI, HER2 positivity was associated with poor
outcome in terms of BCSS at 15 years (Fig. 3). Within
HER2? subgroup, KI67-LI showed no significant associ-
ation with outcome. When the analysis was restricted to
show the effect of both proteins independently, HER2?/
low KI67-LI was associated with poor outcome in terms of
BCSS, DFI, and DMFS (Fig. 4).
Discussion
Molecular classification of BC and the concept of the ER?
luminal class and that ER, HER2, and proliferation are key
driving markers have attracted an attention in the clinical
community. However, the fact that luminal tumors com-
prise more than half of BC and HER2-positive tumors are
candidates for anti-HER2 therapy regardless of the
molecular class limits the clinical significance of this
classification. Although high proliferation is a feature of
Table 8 Associations between HER2?/low KI67-LI and high KI67-
LI/HER2- classes and different proteins
Markers HER2?/low KI67-LI High KI67-LI/HER2- p-value
CK18
NEG 29(5.6%) 160(25.6%) 0.007*
POS 34(94.4) 466(74.4%)
TFF3
NEG 7(25.9%) 219(56.9%) 0.002*
POS 20(74.1%) 166(43.1%)
Bcl2
NEG 12(60%) 130(32.9%) 0.01
POS 8(40%) 265(67.1%)
CD71
NEG 5(18.5%) 169(38.9%) 0.03
POS 22(81.5%) 266(61.1%)
N-Cadherin
NEG 2(8%) 147(29%) 0.02
POS 23(92%) 360(71%)
CK19
NEG 2(5.1%) 104(15.7%) 0.07
POS 37(94.9%) 557(84.3%)
Breast Cancer Res Treat (2014) 145:317–330 325
123
basal and HER2-positive tumors, a considerable number of
ER-positive tumors show high-proliferation status. To
identify the types of luminal tumors associated with poor
outcome, GEP studies have reported a luminal-B subclass
[32]. However, molecular features were used to define
these tumors varied among different studies and more than
one class have been identified [33–36]. In addition, the
availability and cost associated with GEP make identifi-
cation of a poor prognostic subclass of luminal tumors
difficult. Using surrogate immunohistochemical markers to
identify, a luminal-B class in routine clinical practice
appears a valid and practical alternative. However, previ-
ous studies have varied in the marker(s) used to identify
these tumors. Some studies have used the proliferation
marker KI67 [37, 38], HER2 [10, 11, 39–41], or both [13,
24, 37, 42] while others placed luminal HER2-positive
tumors in the HER2-positive subgroup [14]. Table 9,
illustrates different studies’ views regarding subclassifica-
tion of luminal groups.
Previous studies have indicated that the frequency of
ER-positive tumors with high proliferation status is greater
than that of HER2 positive tumors and that both markers
are associated with other poor prognostic features and
shorter survival. However, a comparative study of HER2
and KI67 in the luminal class regarding the clinical and
biological molecular features is lacking. In this study, we
confirm these findings and demonstrate that HER2 is
associated with a worse outcome independent of prolifer-
ation and other clinicopathological features. Importantly,
the aggressive behavior of HER2 positive tumors is not
associated with downregulation of luminal-enriched ER-
related biomarkers.
Fig. 1 Associations between
HER2, and KI67-LI and BCSS,
DFI and DMFS in months,
respectively
326 Breast Cancer Res Treat (2014) 145:317–330
123
Compared to tumors with high KI67-LI, HER2-positive
tumors retained their luminal-associated features as evi-
denced by positive association between HER2? with
TFF3, E-cadherin and borderline increase expression of
AGTR1. In contrast, high KI67-LI was associated with
downregulation of luminal markers (ck18, MUC1 core,
FHIT) and borderline significance with downregulation of
MUC1 protein and ck19 and borderline expression of basal
ck17. Although both HER2 and KI67 demonstrated asso-
ciations with features of poor prognosis, high KI67-LI and
not HER2? was significantly associated with clinical fea-
tures of advanced tumors including larger size, nodal
positivity, and definite LVI. In our study, high KI67-LI
showed an association with upregulation of other HER
family proteins (HER1, HER3, and HER4). Furthermore,
Within HER2? tumors, high KI67-LI maintained its
association with advanced stage and LVI which indicates
that high proliferation status is a feature of biological
aggressiveness rather than a unique driving genetic event.
Of note, although we and others [43] have noticed that
some HER2-positive tumors display prominent tubule/
gland formation despite high-nuclear grade, in this study,
both HER-positivity and high KI67-LI were associated
with loss of tubule formation and no significant difference
between them was identified.
Importantly, our results are in line with Staaf et al. [44]
who used a HER2 derived prognostic gene signature and
unsupervised analyses and identified three relatively equal
HER2-positive subgroups with different outcomes. One
subgroup not only tended to be more ER negative and was
associated with worse clinical outcome but it also had
Fig. 2 Associations between
HER2?ve/Low KI67-LI and
High KI67-LILHER2-ve and
BCSS, DFI, and DMFS,
respectively in months
Fig. 3 Association between HER2 within high KI67-LI and BCSS in
months
Breast Cancer Res Treat (2014) 145:317–330 327
123
predominant overexpression of steroid response genes
(steroid response–positive phenotype). The other two sub-
groups showed similar outcome but they differ in the
proliferation status. The subgroup that showed a high-
proliferation status with an active PI3 K signaling signa-
ture tended to be smaller in size with less nodal involve-
ment. Importantly, the predictor did not explicitly connect
to proliferation but recognizes a biologic phenomenon of
more general importance in BC progression including
genes associated with immune response, tumor invasion,
and metastasis.
With regard to outcome, although HER2 was not asso-
ciated with tumor size, lymph node stage, or downregulation
of luminal proteins, it was independently associated with
poorer outcome in terms of shorter BCSS, DFI, and DMFS
than high KI-67-LI (p = 0.001). This association is
observed in ER-positive tumors as well as in the ER-posi-
tive/high KI67-LI subgroup reflecting the association with
aggressive behavior independent on the proliferation status.
Importantly, within HER2-negative tumors, high KI67-LI
not only showed an association with downregulation of ER-
related/luminal-enriched molecular features and shorter
Fig. 4 Associations of
HER2?/Low KI67-LI and high
KI67-LI/HER2- and BCSS,
DFI, and DMFS, respectively in
months
Table 9 Definition of luminal-A and B by different studies
Studies Group 1 (luminal-A) Group 2 (luminal-B) Others
Cheang et al. [15] ER (?/-) and /or
PgR (?/)/ HER2-, low KI67
ER (?/-) and /or PgR (?/),
high KI67, HER2? in 30%
ER- HER2
Onitilo et al. [41] ER?/PgR?/HER2- ER?/PgR?/HER2?
Matos et al. [10] ER?/HER2?(0,?1,?2) ER?/HER2? (?3) –
Carey et al. [11] ER? and/or PgR?/HER2- ER?and/or PgR?/ HER2?(100%), p53?(23%)
Abd El-Rehim et al. [30] ER?/PgR?/ luminal CKS?/HER3,4,
low BRCA1, MUC-1?
ER?/PgR?/high BRCA1, MUC-1? –
Kurebayashi et al. [40] ER? and/or PgR?/HER2- ER? and/or PgR?/HER2? –
Ihemelandu et al. [39]
Hugh et al. [13] ER?/low HER2 and KI67 ER?/ high HER2 and KI67 –
328 Breast Cancer Res Treat (2014) 145:317–330
123
survival but also splits the cohort into two relatively equal
halves (43 and 57 % for high and low KI67-LI,
respectively).
In conclusion, the results of this study support the
hypothesis that HER2 gene amplification and protein over
expression occurs as a second oncogenic hit that drives the
molecular portrait and clinical behavior of ER-positive
HER2-positive BC independent of the ER-pathway or
proliferation. Our data indicate that HER2-positive ER-
positive BCs are distinct form of luminal-BC and that it
provides additional justification to place them in the HER2-
positive class candidate for anti-HER2 therapy. ER-posi-
tive/HER2-negative tumors can be stratified into two rel-
atively equal subgroups with distinct outcome using KI67-
LI.
Acknowledgements Dena A Jerjees is funded by the higher com-
mittee of educational development in Iraq.
Conflicts of interest None.
Ethical standards This study was approved by the Nottingham
Research Ethics Committee.
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