Literature DB >> 24037664

Comparative secretome analysis of epithelial and mesenchymal subpopulations of head and neck squamous cell carcinoma identifies S100A4 as a potential therapeutic target.

Kati Rasanen1, Sira Sriswasdi, Alexander Valiga, Hsin-Yao Tang, Gao Zhang, Michela Perego, Rajasekharan Somasundaram, Ling Li, Kaye Speicher, Andres J Klein-Szanto, Devraj Basu, Anil K Rustgi, David W Speicher, Meenhard Herlyn.   

Abstract

Epithelial-mesenchymal transition (EMT) is a key contributor in tumor progression and metastasis. EMT produces cellular heterogeneity within head and neck squamous cell carcinomas (HNSCC) by creating a phenotypically distinct mesenchymal subpopulation that is resistant to conventional therapies. In this study, we systematically characterized differences in the secretomes of E-cadherin high epithelial-like and E-cadherin low mesenchymal-like subpopulations using unbiased and targeted proteomics. A total 1765 proteins showed significant changes with 177 elevated in the epithelial subpopulation and 173 elevated in the mesenchymal cells. Key nodes in affected networks included NFκB, Akt, and ERK, and most implicated cellular components involved various aspects of the extracellular matrix. In particular, large changes were observed in multiple collagens with most affected collagens at much higher abundance levels in the mesenchymal subpopulation. These cells also exhibited a secretome profile resembling that of cancer-associated fibroblastic cells (CAF). S100A4, a commonly used marker for cancer-associated fibroblastic cells, was elevated more than 20-fold in the mesenchymal cells and this increase was further verified at the transcriptome level. S100A4 is a known mediator of EMT, leading to metastasis and EMT has been proposed as a potential source of cancer-associated fibroblastic cells in solid tumors. S100A4 knockdown by small interfering RNA led to decreased expression, secretion and activity of matrix metalloproteinase 2, as verified by quantitative PCR, multiple reaction monitoring and zymography analyses, and reduced invasion in collagen-embedded spheroids. Further confirmation in three-dimensional organotypic reconstructs showed less invasion and advanced differentiation in the S100A4 RNA interference samples. Orthotopic metastasis model, developed to validate the findings in vivo, demonstrated a decrease in spontaneous metastasis and augmented differentiation in the primary tumor in siS100A4 xenografts. These results demonstrate the value of secretome profiling to evaluate phenotypic conversion and identify potential novel therapeutic targets such as S100A4.

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Year:  2013        PMID: 24037664      PMCID: PMC3861723          DOI: 10.1074/mcp.M113.029587

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  54 in total

Review 1.  Epithelial-to-mesenchymal transition and cancer stem(-like) cells in head and neck squamous cell carcinoma.

Authors:  Chao Chen; Miriam Zimmermann; Inge Tinhofer; Andreas M Kaufmann; Andreas E Albers
Journal:  Cancer Lett       Date:  2012-07-04       Impact factor: 8.679

2.  S100A4, frequently overexpressed in various human cancers, accelerates cell motility in pancreatic cancer cells.

Authors:  Hitoshi Sekine; Na Chen; Keisuke Sato; Yuriko Saiki; Yuki Yoshino; Yukiko Umetsu; Guo Jin; Hiroki Nagase; Zhaodi Gu; Shinichi Fukushige; Makoto Sunamura; Akira Horii
Journal:  Biochem Biophys Res Commun       Date:  2012-10-19       Impact factor: 3.575

3.  S100A4 siRNA inhibits human pancreatic cancer cell invasion in vitro.

Authors:  Na Li; Mao Min Song; Xiao Hua Chen; Li Hui Liu; Feng Sheng Li
Journal:  Biomed Environ Sci       Date:  2012-08       Impact factor: 3.118

4.  Systematic classification of melanoma cells by phenotype-specific gene expression mapping.

Authors:  Daniel S Widmer; Phil F Cheng; Ossia M Eichhoff; Benedetta C Belloni; Marie C Zipser; Natalie C Schlegel; Delphine Javelaud; Alain Mauviel; Reinhard Dummer; Keith S Hoek
Journal:  Pigment Cell Melanoma Res       Date:  2012-03-02       Impact factor: 4.693

Review 5.  Functions of S100 proteins.

Authors:  R Donato; B R Cannon; G Sorci; F Riuzzi; K Hsu; D J Weber; C L Geczy
Journal:  Curr Mol Med       Date:  2013-01       Impact factor: 2.222

Review 6.  Fibroblasts as architects of cancer pathogenesis.

Authors:  Timothy Marsh; Kristian Pietras; Sandra S McAllister
Journal:  Biochim Biophys Acta       Date:  2012-10-30

7.  A mass spectrometry-based plasma protein panel targeting the tumor microenvironment in patients with breast cancer.

Authors:  Alejandro Cohen; Edwin Wang; Kenneth A Chisholm; Ripsik Kostyleva; Maureen O'Connor-McCourt; Devanand M Pinto
Journal:  J Proteomics       Date:  2012-11-20       Impact factor: 4.044

Review 8.  Joining S100 proteins and migration: for better or for worse, in sickness and in health.

Authors:  Stephane R Gross; Connie Goh Then Sin; Roger Barraclough; Philip S Rudland
Journal:  Cell Mol Life Sci       Date:  2013-06-30       Impact factor: 9.261

Review 9.  Solid tumor differentiation therapy - is it possible?

Authors:  Filemon Dela Cruz; Igor Matushansky
Journal:  Oncotarget       Date:  2012-05

Review 10.  Somatic evolution of head and neck cancer - biological robustness and latent vulnerability.

Authors:  Muneyuki Masuda; Satoshi Toh; Takahiro Wakasaki; Masumi Suzui; Andrew K Joe
Journal:  Mol Oncol       Date:  2012-11-02       Impact factor: 6.603

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  16 in total

1.  S100A4 participates in epithelial-mesenchymal transition in breast cancer via targeting MMP2.

Authors:  Han Xu; Mengquan Li; Yue Zhou; Feng Wang; Xiangke Li; Liuxing Wang; Qingxia Fan
Journal:  Tumour Biol       Date:  2015-09-26

2.  Molecular portraits of epithelial, mesenchymal, and hybrid States in lung adenocarcinoma and their relevance to survival.

Authors:  Mark J Schliekelman; Ayumu Taguchi; Jun Zhu; Xudong Dai; Jaime Rodriguez; Muge Celiktas; Qing Zhang; Alice Chin; Chee-Hong Wong; Hong Wang; Lisa McFerrin; Suhaida A Selamat; Chenchen Yang; Evan M Kroh; Kavita S Garg; Carmen Behrens; Adi F Gazdar; Ite A Laird-Offringa; Muneesh Tewari; Ignacio I Wistuba; Jean P Thiery; Samir M Hanash
Journal:  Cancer Res       Date:  2015-03-05       Impact factor: 12.701

3.  Evaluation of spheroid head and neck squamous cell carcinoma cell models in comparison to monolayer cultures.

Authors:  Lorenz Kadletz; Gregor Heiduschka; Julian Domayer; Rainer Schmid; Elisabeth Enzenhofer; Dietmar Thurnher
Journal:  Oncol Lett       Date:  2015-07-14       Impact factor: 2.967

Review 4.  Cellular Plasticity in Cancer.

Authors:  Salina Yuan; Robert J Norgard; Ben Z Stanger
Journal:  Cancer Discov       Date:  2019-04-16       Impact factor: 39.397

Review 5.  S100 proteins in cancer.

Authors:  Anne R Bresnick; David J Weber; Danna B Zimmer
Journal:  Nat Rev Cancer       Date:  2015-02       Impact factor: 60.716

Review 6.  Lipid metabolism in tumor microenvironment: novel therapeutic targets.

Authors:  Xingkai Liu; Ping Zhang; Jing Xu; Guoyue Lv; Yan Li
Journal:  Cancer Cell Int       Date:  2022-07-05       Impact factor: 6.429

7.  Secretome profiling of oral squamous cell carcinoma-associated fibroblasts reveals organization and disassembly of extracellular matrix and collagen metabolic process signatures.

Authors:  Elizabete Bagordakis; Iris Sawazaki-Calone; Carolina Carneiro Soares Macedo; Carolina M Carnielli; Carine Ervolino de Oliveira; Priscila Campioni Rodrigues; Ana Lucia C A Rangel; Jean Nunes Dos Santos; Juha Risteli; Edgard Graner; Tuula Salo; Adriana Franco Paes Leme; Ricardo D Coletta
Journal:  Tumour Biol       Date:  2016-01-13

8.  Embedded Spheroids as Models of the Cancer Microenvironment.

Authors:  Kristie M Tevis; Yolonda L Colson; Mark W Grinstaff
Journal:  Adv Biosyst       Date:  2017-08-18

9.  S100A16 promotes differentiation and contributes to a less aggressive tumor phenotype in oral squamous cell carcinoma.

Authors:  Dipak Sapkota; Ove Bruland; Himalaya Parajuli; Tarig A Osman; Muy-Teck Teh; Anne C Johannessen; Daniela Elena Costea
Journal:  BMC Cancer       Date:  2015-09-09       Impact factor: 4.430

10.  Prediction of recurrence-free survival using a protein expression-based risk classifier for head and neck cancer.

Authors:  S S Chauhan; J Kaur; M Kumar; A Matta; G Srivastava; A Alyass; J Assi; I Leong; C MacMillan; I Witterick; T J Colgan; N K Shukla; A Thakar; M C Sharma; K W M Siu; P G Walfish; R Ralhan
Journal:  Oncogenesis       Date:  2015-04-20       Impact factor: 7.485

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