3.7.2018 1 Tuula Salo 1 , Susanna Teppo 1 , Sini Nurmenniemi 1 , Marilena Vered 2 , Dan Dayan 2 , Carolina Bitu 1 and Pia Nyberg 1 . 1 Department of Diagnostics and Oral Medicine, Institute of Dentistry, University of Oulu, Oulu, Finland, and 2 Institute of Pathology, Chaim Sheba Medical Center Center, Tel Hashomer, Ramat Gan, Israel. Tuula Salo IAOP Vancouver 25.6.2018 Universities of Helsinki & Oulu Finland Effects of non-cellular tumor microenvironment matrix on oral cancer prognosis and in vitro experiments Lecture content (I) In vivo - the importance of tumor extracellular matrix (ECM) in oral cancer (II) In vitro - ECM solid and mesh models for oral cancer studies (III) Preclinical cancer drug testing – role of TME matrices Non-cellular matrix in primary oral cancers Structural proteins Enzymes Active fragments Extracellur vesicles Cytokines Growth Factors Matrix molecules are produced and modifed by subclones of cancer cells & cells in tumor microenvironment (TME) Stroma-rich group: In multivariate analyses Worse disease-free survival HR 1.81 (95%CI 1.17-2.79, P= 0.008) Higher cancer-related mortality HR 1.71 (95%CI 1.02-2.86, P= 0.03) 311 early-stage OTSCC cases Stroma-poor (<50%) Stroma-rich (≥50%) The prognostic value of tumor to stroma ratio (TSR) and budding & depth of invasion (BD) in oral tongue cancer Almangush et al. 2018 Combination of the highest-risk parameter scores for TSR and BD: Disease recurrence HR 3.42 (95%CI 1.71-6.82 P= 0.004) Cancer-related mortality HR 11.6 (95%CI 3.83-35.31 P< 0.001) Budding & depth of invasion (BD ) scores 0: Tumor invasion depth (ID) < 4 mm, and <5 buds at the invasive front (IF), 1: ID ≥ 4 mm, but < 5 buds at IF, or ID < 4 mm, but ≥ 5 buds at IF 2: ID ≥ 4 mm and ≥ 5 buds (<5 cells) at the IF Conclusion : Should we add the analyses of TSR and BD to pathology reports of OSCC? Wu et al. TSR Meta- analyses. Oncotarget 2016 Stiffness of TME: Type I collagen synthesis (PINP-ab) in OTSCC prognosis Holle et al. 2016 LN metastasis SCC + TME SCC cells TME Salo S. et al. 2013 Higher PINP expression in invasive vs superficial areas associated with worse prognosis of OTSCC patients; HR 1.924, 95% CI[1.127-3.285] p=0.004 Bagordakis et al. 2016 High PINP expression at the invasive front CAFs associated with a poor prognosis of OSCC patients; HR 3.31, 95% CI [1.54-5.91] p=0.002 Ligands in TME: TN-C and FN in OTSCC prognosis Negative Moderate Abundant TNC expression FN expression 236 OTSCC cases Conclusion: Expression of FN and TN-C in the TME, not in SCC cells, differentiate patients into low- and high-risk groups 5 year survival rate in early stage OTSCC: TN-C: 88% if TN-C was not in TME 42% if TN-C was abundant in TME FN: 100% if FN was not in TME 24% if FN was abundant in TME Sundquist et al. 2017 Tenascin-C (TN-C) & fibronectin (FN) Both are present in most solid tumors Both are related to cell adhesion & migration Holle et al. 2016 100% 24% 88% 42%
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3.7.2018
1
Tuula Salo1, Susanna Teppo1, Sini Nurmenniemi1, Marilena Vered2, Dan Dayan2,
Carolina Bitu1 and Pia Nyberg1.
1Department of Diagnostics and Oral Medicine, Institute of Dentistry, University of Oulu, Oulu, Finland, and2 Institute of Pathology, Chaim Sheba Medical Center Center, Tel Hashomer, Ramat Gan, Israel. Tuula Salo
IAOP Vancouver25.6.2018
Universities of Helsinki & OuluFinland
Effects of non-cellular tumor microenvironment matrix on oral cancer prognosis and in vitro
experimentsLecture content
(I) In vivo - the importance of tumor extracellularmatrix (ECM) in oral cancer
(II) In vitro - ECM solid and mesh models for oral cancerstudies
(III) Preclinical cancer drug testing – role of TME matrices
Non-cellular matrix in primary oral cancers
Structural proteins
Enzymes
Active fragments
Extracellur vesicles
Cytokines
Growth Factors
Matrix molecules are produced and modifed bysubclones of cancer cells & cells in tumor microenvironment
(TME)
Stroma-rich group: In multivariate analyses Worse disease-free survival
Budding & depth of invasion (BD) scores0: Tumor invasion depth (ID) < 4 mm, and <5 buds
at the invasive front (IF),1: ID ≥ 4 mm, but < 5 buds at IF, or
ID < 4 mm, but ≥ 5 buds at IF2: ID ≥ 4 mm and ≥ 5 buds (<5 cells) at the IF
Conclusion: Should we add the analyses of TSR and BD to pathology reports of OSCC?
Wu et al. TSR Meta-analyses. Oncotarget2016
Stiffness of TME:Type I collagen synthesis (PINP-ab) in OTSCC prognosis
Holle et al. 2016
LN metastasisSCC + TME
SCC cellsTME
Salo S. et al. 2013
Higher PINP expression in invasive vs superficial areas associated with worse prognosis of OTSCC patients; HR 1.924, 95% CI[1.127-3.285] p=0.004
Bagordakis et al. 2016
High PINP expression at the invasive front CAFsassociated with a poor prognosis of OSCC patients; HR 3.31, 95% CI [1.54-5.91] p=0.002
Ligands in TME: TN-C and FN in OTSCC prognosis
Negative Moderate Abundant
TNC expression
FN expression236 OTSCC cases
Conclusion: Expression of FN and TN-C in the TME, not in SCC cells, differentiate patients into low- and high-risk groups
5 year survival rate in early stage OTSCC:
TN-C: 88% if TN-C was not in TME42% if TN-C was abundant in TME
FN: 100% if FN was not in TME 24% if FN was abundant in TME
Sundquist et al. 2017
Tenascin-C (TN-C) & fibronectin (FN)
Both are present in most solid tumors
Both are related to cell adhesion & migration
Holle et al. 2016
100% 24%
88% 42%
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Cytokines in TME: IL-17F in OTSCC prognosis
• Il-17F belongs to IL-17 cytokine family; greatest homology with IL-17A
Extracellular - not intracellular -amount of IL-17F in IF front mast cells Disease specific survival In multivariate analyses: HR 4.18 (95% CI 1.01-17.26, p=0.04) for
early stage HR 3.51 (95%CI 1.48-8.34, P= 0.004)
for all stages
IL-17F is expressed mainly by mast cells
IL-17F MCT
mergedabi
OTSCC cells were in most cases negative (A), or sporadically (5-75%) positive (B,C) for IL-17F
Inflammatory cells showed strong expression
IL-17F
Mast cell tryptase
merge
early stage OTSCC all stages OTSCC
IL-17F inside mast cell IL-17F outside mast cell
Conclusion:Extracellular mast cell‐derived IL‐17F in the TME has anti-tumorigeniceffects in OTSCC
Almahmoudi et al. 201883 OTSCC cases
TME in cancer patients´ lymph nodes:structure & composition are different from the primary tumor
Structural changes in negative LNs architecture of thepatients with early stage OSCC
435 LN0 from pN0 neck dissections histopathological parameters:
Capsule thickness Sub-capsular and medullary sinus
ectasia Lobular architecture Percent of cortical reactive
follicles
-> prognosis is better
A thickened capsule & many reactive cortical follicles
-> prognosis is worse
A thin capsule and a few reactive cortical follicles
LN0 of close levels
“Even negative LNs in patients who are free of regional metastatic disease hold valuable prognostic information”
“A car wheel will go longer distance than a bicycle tire”
Vered et al. 2014
A) In vitro solid 3D matrix modelsfor cancer invasion
In vitro solid 3D matrix models for oralcancer invasion studies
Cloudberry
Human cancer cells
Rat tail type I collagen+
Mouse tumor(Matrigel)
+Human fibroblasts
Nylon membraneMedium
Steel grid
1) Organotypic ”rat-mouse-man”model, since 1980´s (Fusenig et al.)
3D TME invasion models to analyze the interaction between carcinoma cells and TME
Human has 78 less proteases than mouse
Overall & López-Otín 2002
2) Human uterus myoma disc model(Nurmenniemi et al. 2009)
Tongue carcinoma patient sample
AE1/AE3
HSC-3 tongue carcinoma cells in myoma disc
HSC-3 + fibroblasts in collagen disc
HSC-3 cells invade 7 times deeper in myoma than in thecollagen + fibroblasts discs
GDF9 Growth/differentiation factor 9 positive regulation of cell proliferation
TGFB1 Transforming growth factor beta-1positive regulation of transcription from
RNA polymerase II promoter
VEGFA Vascular endothelial growth factor Apositive regulation of transcription from
RNA polymerase II promoter
IGF1 Insulin-like growth factor Ipositive regulation of transcription from
RNA polymerase II promoter
HGF Hepatocyte growth factorpositive regulation of transcription from
RNA polymerase II promoter
TGFBR2 TGFbeta receptor type-2 apoptotic process
FGFR3 Fibroblast growth factor receptor 3 apoptotic process
EGFR Epidermal growth factor receptor negative regulation of apoptotic process
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Intact Myoma is hypoxic and contains severalinvasion inducing factors
Intact and rinsed myoma tissueWestern blot:
Intact Rinsed
MMP-11
LOX-1
• MMP-11 has pro-invasive & anti-apoptotic properties
• LOX is secreted by hypoxic tumors; facilitates invasion
Intact myoma disc with HSC-3 cells: invadingcells express CA-9
• CA-9 in HNSCC is associated with reduced survival
CA-9 (hypoxia factor carbonic anhydrase IX)
Intact Rinsed
Teppo et al. 2013
• The gene transfection - invasionÅström et al. 2017, 2018
• miRNA/mRNA/protein identificationsin invasive vs non-invasive cells- lazer capture Korvala et al. 2017
Solid myoma discs: used in studies related to various cancer cell lines or
co-culture experiments
• Myoma +/- cells irradiation +/- drugsVäyrynen et al. manuscript
• Co-cultures: cancer cells +/-
# M1 or M2 macrophages
Pirilä et al. 2015
# Activated mononuclear cells
Alsamadi et al. 2017
P=0.01 P=0.04
+MNC +Act-T-cell +Act-MNCHSC-3
HSC-3 HSC-3+M1 HSC-3+M2
Cancer
Myoma
Media +/
SCC cells
Myoma
Media +/- MNCs
A. Myoma +/- HSC-3
B. Collagen gel + fibroblasts +/- HSC-3
• precultured for 10 days
• Discs were transplanted onto the dorsal muscle fascia
C. Subcutaneous inj. HSC-3
• After 6 weeks B alb-c nude nu/nu mice) in group A and B were killed
• Mice in group C were sacrified when the tumor volume reached 1,000 mm3
• Implants and xenografts were collected in 4% formalin and embedded in paraffin
Myomaw/o HSC-3
Myomawith HSC-3
After 42 days
Effects of myoma, collagen+fbl, or no matrixon carcinoma cells growth pattern in mice
Same cancer cells in nude mice: different growth patterns - depends on the TME
• Stromal reaction
• EMT
• Invasion
• Dysplasia• Invasion
Myoma+HSC3 implants
Collagen gelfbl +HSC3 implants
• Encapsulation• NecrosisXenografts
Unpublished
For faster in vitro analysesgelatinous mesh matrices are needed
Bilberry
Matrigel®- the ”golden standard” for cancer in vitro studies
Interview 2013:
“Are you surprised that Matrigel was so successful?”Hynda Kleinman (NIH, USA):“I’m shocked that it’s this useful. I’m also shocked that no one has invented anything better. It’s still made the exact same way we made it 25 years ago. There must be thousands of tumors to make it…. Nobody’s done that.”
23 analyses show clear response in Matrigel and plastic; only 2 responded weakly in Myogel
0
10
20
30
40
50
60
70
80
90
100
Control Matrigel 2D Matrigel 3D Myogel 2D Myogel 3DRes
po
nse
rate
for
Erb
itu
x(%
)
Tuomainen et al. unpublishedSee poster #206
Monotherapy response objective patients rateclinical trials for HNSCC. Vermorken JB, et al. Cancer. 2008
*
Mean response rate of all the 12 HNSCC cell lines tested:Control & Matrigel 2D 68%, Myogel 2D 15%
Erbitux is a monoclonal ab, binds to EGFR and alters the TK-mediated signal transduction pathway - FDA approval for Cetuximab (Erbitux)
Phase III clinical trials for Erbitux- response rate was 13 %
Future pre-clinical drug screening & response rate testing?
Clinical trials
Should new active compounds be tested in cancer cell lines on top of or embedded in human tumor matrix (Myogel) wells?
Future pre-clinical drug screening & response rate testing?
Patient´s
Cancer tissue
LN metastases
Serum samples
Clinical trials
Should new active compounds be tested in cancer cell lines on top of or embedded in human tumor matrix (Myogel) wells?
Tests with human primary and metastase TME mimicking matrices
Immune checkpoint blockers
TowardsPersonalized Medicine
Microfluid chips? Spheroids or organotypic models
Carcinoma drugsIrradiation
HTS
Lymfogel?
Myogel?
Conclusion:The structure and composition of the non-cellular ECM plays a crucial role in cancer
growth both in vivo & in vitro
Rat type I collagen Human Myogel Mouse Matrigel
Human fibrin Human fibronectin
Bovine serum albumin
Tuula Salo1, Susanna Teppo1, Sini Nurmenniemi1, Marilena Vered2, Dan Dayan2,
Carolina Bitu1 and Pia Nyberg1.
1Department of Diagnostics and Oral Medicine, Institute of Dentistry, University of Oulu, Oulu, Finland, and2 Institute of Pathology, Chaim Sheba Medical Center Center, Tel Hashomer, Ramat Gan, Israel.
Researchers and collaborators behind these projectsOulu group: past and present membersMaija Risteli PhD, Johanna Korvala PhD, Mauricio Dourado PhD, Elias Sundquist PhD, Ilkka Alahuhta, PhD, Ehsanul Hoque Apu DDS, Sirpa Salo PhD, Sini Nurmenniemi PhD, Susanna Teppo MSc, Meeri Sutinen PhD, Pia Nyberg PhD, Emma Pirilä PhD, Pirjo Åström PhD, et.alOulu collaboratorsPetri Lehenkari, prof. group, Ilkka Miinalainen, PhDHelsinki groupAhmed Al-Samadi PhD, Alhadi Almangush PhD, Katja Tuomainen MSc, Rabeia Almahmoudi, DDSHelsinki Univ. collaboratorsPäivi Saavalainen, doc. groupAntti Mäkitie, prof. groupFIMM collaborators Krister Wennerberg, prof. group
Brazil:Coletta, Graner
Israel collaboratorsMarilena Vered, prof. groupBrazilian collaboratorsRicardo Coletta, prof. group , Adriana Leme, prof. groupSotiris Missailides, prof. group