Literature DB >> 26401855

Proteomics analysis of tissue samples from patients with squamous cell carcinoma of the penis and positive to human papillomavirus.

Leandro Koifman1,2,3, Paulo Ornellas3,4, Antonio Augusto Ornellas2,5, Denise de Abreu Pereira3,6,7, Benedeta Russolina Zingali7, Silvia Maria Baeta Cavalcanti8, Larissa Alves Afonso8, Vanessa Sandim3,7, Gilda Alves3.   

Abstract

PURPOSE: The aim of this study was to identify possible protein biomarkers and/or candidates for therapeutic targets in tissues of patients with SCCP, infected by HPV, applying one dimensional electrophoresis (1DE), followed by direct mass spectrometry (MS) analysis.
MATERIALS AND METHODS: Tissues from 10 HPV positive patients with SCCP and from 10 patients with HPV negative non-tumorous penile foreskins were analyzed applying 1D electrophoresis, followed by analysis with direct mass spectrometry (MS).
RESULTS: Sixty-three different proteins were identified in the first group and 50 in the second group. Recognition was possible for 28 proteins exclusively detected in Group 1 and 21 proteins presented only in Group 2.
CONCLUSION: Some proteins in the first group are directly involved in the development of other types of cancer, and therefore, suitable for analysis. Complement C3 protein is a strong candidate for evaluating SCCP patients.

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Year:  2015        PMID: 26401855      PMCID: PMC4756991          DOI: 10.1590/S1677-5538.IBJU.2014.0051

Source DB:  PubMed          Journal:  Int Braz J Urol        ISSN: 1677-5538            Impact factor:   1.541


INTRODUCTION

Cancer of the penis is a rare neoplasm with a high incidence in developing countries. This fact clearly indicates the disease's association with local economic conditions (1). Penile cancer has a low overall incidence, representing approximately 0.4% of malignancies in the Unites States. In Brazil, despite the high incidence in some regions, this disease accounts for about 2.1% of malignancies (2, 3). A recent Brazilian epidemiologic study on penile carcinoma revealed the profile of these patients (4). The etiology of penile cancer has not been fully elucidated. However, its incidence varies according to the practice of circumcision, personal hygiene, presence of phimosis, human papillomavirus (HPV) infection, and tobacco use (5–9). The mechanism of tumor induction and promotion related to HPV infection is not completely understood. It is believed that the incorporation of viral DNA to the human genome leads to hyper-expression of viral genes E6 and E7 and inactivates the host cell's tumor suppressor gene products p53 and pRb (10). The presence and extent of inguinal metastases are the most important prognostic factor related to the survival of patients with penile carcinoma. At the time of its initial presentation, 50% of patients with SCCP have inguinal lymphadenopathy; however, only half of these actually show metastatic lymph node involvement. Furthermore, 20% of patients with clinically negative inguinal lymph nodes have micro-metastases that will only be diagnosed by histopathologic examination of surgical specimens obtained from lymphadenectomy, a procedure associated with a significant morbidity (1, 4). Therefore, SCCP remains a challenge for the urologist, because there is no consensus for an appropriate therapy for all forms of disease presentation. The possibility of using reliable biomarkers to predict disease prognosis and to establish procedures less aggressive for patients at low risk for metastasis becomes necessary. In this sense, the development of more accurate molecular diagnostic methods and prognostic value tumor markers is essential. Proteomics is the large-scale identification of proteins. Proteomics technologies are currently under development and several methodological approaches can be applied depending on the objectives. The great advantage of proteomics over genomics or transcriptomics studies is that the real functional molecules of the cell are being studied. Therefore, in this study, the aim was to identify possible protein biomarkers and/ or candidates for therapeutic targets in tissues of patients with SCCP, infected by HPV, applying one dimensional electrophoresis (1DE), followed by direct mass spectrometry (MS) analysis.

MATERIALS AND METHODS

Patients and controls

Between January 2009 and December 2011, 20 patients treated at three health institutions in the state of Rio de Janeiro were recruited and divided into two groups for prospective tissue proteomic analysis. Group 1 was composed of 10 patients with positive HPV malignant SCCP treated at the Brazilian National Cancer Institute (INCA) and Mario Kröeff Hospital. Group 2 (control group) was composed of 10 patients with HPV negative non-tumorous penile foreskins collected at Santa Veronica Hospital after circumcision procedures. HPV typing was performed as previously published (11, 12) and reported (13). Pathological material was reviewed in both groups and all tumors were histologically classified based on Broders’ system. Only two pathologists were responsible for reviewing the specimens. The clinical and pathological staging for Group 1 was done according to the 2002 TNM classification system. Patients’ treatment varied according to primary tumor presentation. The distribution of T and N categories is shown in Table-1. The criterion for performing a radical inguinal lymphadenectomy (RIL) in all cases was the stage, grade and/or presence of lymphovascular invasion. Two patients with stage T1 underwent lymphadenectomy. The first presented unilateral inguinal lymphadenopathy and the second presented grade 2 tumor. In our services, we only do not perform RIL in patients with stage T1N0M0 grade 1 tumor without lymphovascular invasion ages ranged from 38 to 90 years (mean, 63.56) for Group 1 and 23 to 83 years (mean, 60) for Group 2. The pathological variables studied were histological type, grade of tumor differentiation, corpus spongiosum and/or infiltration of the corpora cavernosa, urethral in-filtration, and inguinal lymph nodes involvement. Patient recruitment did not take into account any criteria of poor prognosis, and the tissue specimens were randomly selected respecting the number of pre-established patients for the study. All patients involved in the current study gave their informed consent. This study was approved by the Brazilian National Cancer Institute Ethical Board (registrations # 38/05 and 67/07). Because this was a pilot study and unprecedented in literature the number of patients was pre-established in both groups in the design of work, aiming preliminary results for further investigation. The only exclusion criterion was positivity for HPV in the control group. Our study aimed qualitative detection of proteins in the 2 groups not being our objective to quantify the identified proteins. All tests in tumor samples from patients revealed the presence of HPV. Because of the rarity of HPV-negative patients, a second study with HPV-negative patients will be necessary.
Table 1

Histopathologic findings, pathologic staging and treatment option for patients from group 1.

PtsHistologyGradeStage TNMHPV typeSurgery
1Squamous cell carcinomaG2T4N2MxMY-/16+Total Amputation + Bilateral RIL
2Squamous cell carcinomaG1T2N3MxMY-/18+Partial Amputation + Bilateral RIL
3Squamous cell carcinomaG2T2N0Mx16+;45+Partial Amputation + Bilateral RIL
4Squamous cell carcinomaG2T2N0MxMY-/18+Partial Amputation + Bilateral RIL
5Squamous cell carcinomaG1T1N1MxMY-/45+Partial Amputation + Bilateral RIL
6Squamous cell carcinomaG2T1N0Mx45+Partial Amputation + Bilateral RIL
7Squamous cell carcinomaG1T2N0MxMY-/16+ 45+Partial Amputation + Bilateral RIL
8Squamous cell carcinomaG2T2N1MxMY+/45+Partial Amputation + Bilateral RIL
9Squamous cell carcinomaG2T2N1MxMY+/16+Partial Amputation + Bilateral RIL
10Squamous cell carcinomaG2T2N0MxMY-/45+Partial Amputation + Bilateral RIL

RIL = Radical Inguinal Lymphadenectomy; MY-MY09/11 Consensus Primers

RIL = Radical Inguinal Lymphadenectomy; MY-MY09/11 Consensus Primers

Tissue protein extraction and quantification

Tissues were macerated in 200μL of lysis buffer (7 M urea, 2 M Thiourea, 4% CHAPS and 1% DTT) with the addition of 0.2-mM PMSF. This mixture was stirred for 1 hour at room temperature and then centrifuged at 14.000g for 15 minutes. The supernatant was collected and stored at −80°C (14) until experimentation. The protein extracts were quantified by 2D Quant Kit (GE Healthcare, Cat #. 80-6483-56), according to the manufacturer's instructions. Measurement was performed at 650 nm in Elisa Spectra Max 190 device from Molecular Devices. The analysis of quantification was performed by the program SOFT® Pro 4.3 max, Life Sciences Edition.

Gel 1D

After quantification, two protein pools were formed with 10 SCCP tissues and with 10 control tissues, separately. Each pool contained 3.3μg of proteins from each sample, a total of 33μg. The SCCP and control pools were applied on a 12% SDS-PAGE gel. Proteins were separated in Tris-Glycine buffer (25-mM Tris and 250-mM Glycine pH 8,3) and 0.1% SDS at 80 V and 50 mA (15). The proteins were visualized with Coomassie blue G-250. The gels were scanned on Image ScannerTM (GE Healthcare) using the program Labscan™ (GE Healthcare) for protein lanes reading.

Mass spectrometry analysis

The lanes were fractioned in approximately 2-5 mm slices. The bands in the slices were destained in a solution of 25-mM ammonium bicarbonate (NH4HCO3) pH 8.8/50% and acetonitrile (ACN) overnight on a shaker, at room temperature. To reduce proteins, the gel was incubated with 10mM DTT in 25-mM NH4HCO3 at 56°C for 1 hour. The supernatant was discarded and the gel was washed in a solution of 25-mM NH4HCO3 twice. After protein disulfide bonds were reduced, cysteines were alkylated with iodoacetamide 55 mM for 45 minutes at room temperature in the dark. The supernatant was discarded and the gel was washed with 25-mM NH4HCO3 solution in 50% ACN. The supernatant was removed again and gel slices were dehydrated with 100% ACN for 5 minutes and posteriorly in a vacuum centrifuge. Proteins were digested with trypsin (Promega) 10ng/μL dilution, overnight, at 37°C. After digestion with trypsin, peptides were extracted from gels by adding a solution containing 0.1% formic acid/50% ACN for 30 minutes. This solution was transferred to another tube and the procedure was repeated twice. The samples were completely dried in a vacuum centrifuge. The pellets were resuspended in water and purified through Ziptip Perfect Pure C18 (Eppendorf, cat # 0030.008.405) and then dried in a vacuum centrifuge. For mass spectrometry analysis, the peptides were resuspended in 20μL of acetonitrile 3% and acid formic 0.1% solution. The peptides were analyzed by mass spectrometer ESI-Q/TOF Micro (Waters) linked to a nanoACQUITYUPLC® (Waters). The peptides was loaded on symmetric C18 trap column (Waters) followed by fraction in a nanoEase BEH 130 C18 100 mm × 100μm column (Waters) at a flow rate of 0.5μL/min and eluted with a linear acetonitrile gradient (from 10 to 50%) of 0.1% formic acid. Spectrometer analysis was performed on positive mode. Acquisition parameters on mass spectrometer was: cone voltage 30 V, capillary voltage 3500 V, source temperature 80°C, scanning a mass-to-charge ratio (m/z) MS mode 400-2000 and MS/MS mode 50-2000. The three ions with more intensity with charge states of +2, +3, or +4 were selected for MS/MS fragmentation. The reference ion used was the monocharged ion m/z 588.8692 of phosphoric acid. The data acquisition was performed by MassLynx 4.0 software (Micromass/Waters) and the process data by proteinLynx Global Service (PLGS 2.4, Waters). Proteins were identified by correlation of tandem mass spectra to the NCBInr proteins database, using Mascot online (Matrix Science, London, UK - http://www.matrixscience.com/cgi/se-arch_form.pl?FORMVER=2&SEARCH=MIS) with restricted taxonomy Homo sapiens. The NCBI (National Center for Biotechnology Information) protein database is an on line collection of sequences from several sources, including translations from annotated coding regions in GenBanK, RefSeq and TPA, as well as records from Swiss-Prot, PIR, PRF, and PDB; “nr” refers to non-redundant protein sequences. The NCBI is a division of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), USA. The parameters were as follows: MS and MS/MS tolerance of 0.1 Da, tryptic specificity allowing for one missed cleavage, fixed modification of carbamidomethylation of cysteine residues, and variable modification of oxidation of methionine, phosphorylation of tyrosine, serine and threonine residues and propionamide. Positive protein identification was accepted with at least two peptides with a Mascot peptide score ≥35.

RESULTS

The pathological features of the primary tumor and inguinal lymph nodes, the type of treatment instituted, and the HPV type (13) for each patient from Group 1 are described in Table-1. The protein extracts obtained from Groups 1 and 2 were separated by electrophoresis in a 12% SDS-PAGE gel. The protein bands of each group were identified and compared for differences. Twenty-six protein spots from Group 1 and 21 from Group 2 were identified, sliced out from the gel and analyzed through mass spectrometry (Figure-1). Sixty-three different proteins were identified in Group 1 and 50 in Group 2. After a comparative analysis of both groups, it was possible to recognize 28 proteins exclusively detected in Group 1 and 21 proteins presented only in Group 2 (Tables 2 and 3).
Figure 1

1DE analysis of tissue samples from SCCP HPV patients and control group. Each pool contained 3.3µg of proteins from each sample, a total of 33µg. The SCCP and control pools were applied on a 12% SDS-PAGE gel. The gel was stained with Coomassie blue G. The markers and numbers in gel represent the sections that were excised for mass spectrometry analysis.

Table 2

Proteins identified in pool of patients with SCCP (Group 1)

Gel SliceNCBI IDProteinsScoreRepresentative PeptidesKEGGFunctionCell Compartment
T1gi|179212Na+ K+ ATPase alpha subunit41R.SPDFTNENPLETR.Nhsa:476ATP biosynthesisCell membrane
T2;3gi|189036Nonmuscle myosin heavy chain (Myosin 9)78K.ALELDSNLYR.I K.HSQAVEELAEQLEQTKR.Vhsa:4627Cell communicationCytosol
T2gi|1296662Plectin74R.SQVEEELFSVR.V K.VLALPEPSPAAPTLR.Shsa:5339ApoptosisCytosol, cytoskeletal
T2gi|93141049Collagen alpha-1 (XII) chain short isoform precursor60K.ALALGALQNIR.Y R.WYSPVDGTRPSESIVVPGNTR.Mhsa:1303Cell adhesionExtracellular matrix
T5gi|4507677Endoplasmin44K.SILFVPTSAPR.Ghsa:7184Proteins processingCytosol
T6gi|223170Fibrinogen gamma58K.EGFGHLSPTGTTEFWLGNEK.I K.MLEEIMKYEASILTHDSSIR.Y K.AIQLTYNPDESSKPNMIDAATLK.Shsa:2266Blood coagulationSecreted
T9gi|5729877Heat Shock cognate 71-kDa protein isoform 141K.DAGTIAGLNVLR.I(U)hsa:3312Stress response, transcription regulationCytosol, nucleus, cell surface
T11gi|2982019Chain B, Fab Fragment of engineered Human Monoclonal Antibody A5b747K.GPSVFPLAPCSR.S/ R.STSESTAALGCLVK.D/ E.VQLLESGGGLVQPGGSLR.LUnknownCell defenseSecreted
T11;12gi|178375Aldehyde dehydrogenase44K.LPEWAADEPVEK.T/ R.SLEEAIQFINQR.Ehsa:218Glycolysis, metabolism of amino acids and xenobioticsCytosol
T13gi|4503571Alpha-enolase isoform 1R.GNPTVEVDLFTSK.G/ R.YISPDQLADLYK.S/ K.WIGMDVAASEFFR.S + Oxidation (M) / K.VNQIGSVTESLQACK.L / K.YNQLLRIEEELGSK.A/hsa:2023Glicolysis; gliconeogeneseCytosol
90K.LAMQEFMILPVGAANFR.E + 2 Oxidation (M) /R.EIFDSRGNPTVEVDLFTSK.G/ K.DATNVGDEGGFAPNILENKEGLELLK.T
T13gi|1710248Protein disulfide isomerase-related protein 555R.TGEAIVDAALSALR.Q/ K.LAAVDATVNQVLASR.Yhsa:10130Proteins processingEndoplasmatic reticulum
T13gi|31170Chain A, Crystal Structure Of Human Beta Enolase Enob44K.VNQIGSVTESIQACK.Lhsa:2027GlicolysisCytosol, fosfopiruvat hydratase complex
T13gi|400685186-phosphogluconate dehydrogenase, decarboxylating42K.IISYAQGFMLLR.Q + Oxidation (M) / K.GILFVGSGVSGGEEGAR.Yhsa:5226Pentose pathwaysCytosol
T14gi|4505763Phosphoglycerate kinase 139K.ITLPVDFVTADKFDENAK.Thsa:5230GlicolysisCytosol
T14gi|306882Haptoglobin precursor36K.VTSIQDWVQK.T/ K.SPVGVQPILNEHTFCAGMSK.Y + Oxidation (M)hsa:3240DefenseSecreted
T15gi|3522270-kDa heat shock protein43R.TTPSYVAFTDTER.L (U)hsa:3312Regulation of cell cycle; cellular membrane organizationCytosol; plasma membrane
T16gi|63252913Macrophage-capping protein44R.QAALQVAEGFISR.Mhsa:822Actin filament organizationCytosol
T17gi|5174391Alcohol dehydrogenase [NADP+]44K.GLVQALGLSNFNSR.Q/ R.GLEVTAYSPLGSSDR.Ahsa:10327Glicolysis, glicerolipids metabolismCytosol
T17gi|31397Fibronectin precursor40R.VPGTSTSATLTGLTR.Ghsa:2335Angiogenesis, cell adhesion, platelet activation and degranulationSecreted, extracellular matrix
T18gi|31645Glyceraldehyde- 3-phosphate dehydrogenase46R.GALQNIIPASTGAAK.A/ R.VPTANVSVVDLTCR.L/ K.LISWYDNEFGYSNR.V/ K.LTGMAFRVPTANVSVVDLTCR.L + Oxidation (M) / K.IKWGDAGAEYVVESTGVFTTMEK.A + Oxidation (M) / K.VIHDNFGIVEGLMTTVHAITATQK.T + Oxidation (M)hsa:2597GlycolysisCytosol, plasma membrane
T19;20gi|809185Chain A, The Effect Of Metal Binding On The Structure Of Annexin V And Implications For Membrane Binding52RSEIDLFNIRK/ KGLGTDEESILTLLTSRS/ KWGTDEEKFITIFGTRS/ RGTVTDFPGFDERADAETLRKhsa:308Blood coagulationCytosol
T19gi|2906146Malate dehydrogenase precursor46K.IFGVTTLDIVR.A/ K.VDFPQDQLTALTGR.Ihsa:4191Citric acid cycleMitochondria
T19gi|4826643Annexin A337K.MLISILTER.S +Oxidation (M)/ K.GAGTNEDALIEILTTR.Thsa:306Defense responsePhagocytic vesicle
T19gi|4929769Glyoxalase domain-containing protein 4 (CGI-150 protein)36K.ILTPLVSLDTPGK.A(U)hsa:51031UnknownMitochondria
T20gi|4502599Carbonyl reductase [NADPH] 146R.LFSGDVVLTAR.D/ R.VVNVSSIMSVR.A/ R.GQAAVQQLQAEGLSPR.F/ K.VADPTPFHIQAEVTMK.T + Oxidationhsa:873Lipid metabolism -arachidonic acidCytosol
T23gi|9844110cAMP-specific phosphodiesterase 4D42K.LSPVISPR.Nhsa:5144Smooth muscle contraction; regulation of receptor activityCytosol
T24gi|2204207Glutathione S-transferase75M.PPYTVVYFPVR.G -.MPPYTVVYFPVR.G + Oxidation (M) M.PPYTVVYFPVRGR.C K.EEVVTVETWQEGSLK.A K.FQDGDLTLYQSNTILR.H K.ALPGQLKPFETLLSQNQGGK.T K.YISLIYTNYEAGKDDYVK.Ahsa:2940Amino acids metabolismCytosol
T26gi|181250Cyclophilin20K.TVDNFVALATGEK.Ghsa:5480Signal transductionCytosol
Table 3

Proteins identified in pool of patients with non-tumor tissue (Group 2).

Gel SliceNCBI IDProteinsScoreRepresentative PeptidesKEGGFunctionCell Compartment
C1gi|78101267Chain A, Human Complement Component C357K.TIYTPGSTVLYR.I R.IPIEDGSGEVVLSR.K R.LVAYYTLIGASGQR.Ehsa:718Inflammatory response; innate immunity; lipid metabolismSecreted
C2gi|28243Filamin A49R.IANLQTDLSDGLR.L R.SAGQGEVLVYVEDPAGHQEEAK.V K.LDVQFSGLTK.G K.SPFSVAVSPSLDLSK.I R.EGPYSISVLYGDEEVPR.S R.FGGEHVPNSPFQVTALAGDQPSVQPPLR.Shsa:2316Actin couplerCytosol
C3gi|2104553Myosin heavy chain (MHY11)(5′partial)59K.HAQAVEELTEQLEQFKR.A R.ALEEALEAKEELER.T K.IAQLEEQVEQEAREK.Qhsa:4629Vascular muscle contraction; cell communicationExtracellular matrix
C7gi|34228Prelamin-A/C isoform 1 precursor; lamin A protein; progerin56R.VAVEEVDEEGKFVR.Lhsa:4000Intermediate filamentNucleus
C7gi|386758GRP78 (Glucose-regulated protein 78) precursor45R.ITPSYVAFTPEGER.L R.IINEPTAAAIAYGLDKR.Ehsa:3309Anti-apoptosisEndoplasmic reticulum
C7gi|23200154Chain A, NMR Structures Of The C-Terminal Globular Domain Of Human Lamin AC43R.VAVEEVDEEGKFVR.Lhsa:4000Structural molecule activityNucleus
C8gi|762885Plakoglobin72K.SAIVHLINYQDDAELATR.A R.ALMGSPQLVAAVVR.T Oxidation (M) R.LVQNCLWTLR.N R.NEGTATYAAAVLFR.Ihsa:3728Cell adhesion, cell migrationCytosol; plasmatic membrane
C8gi|642534Lumican42K.SLEYLDLSFNQIAR.Lhsa:4060Collagen fibrils organizationExtracellular matrix
C8gi|110590597Chain A, Apo-Human Serum Transferrin (Non-Glycosylated)36K.FYLGYEYVTAIR.Nhsa:7018Mineral absorptionSecreted
C10gi|35505Pyruvate kinase39R.TATESFASDPILYRPVAVALDTKGPEIR.T R.EAEAAIYHLQLFEELRR.Lhsa:5315GlycolysisCytosol; plasmatic membrane
C11;13; 15; 16gi|3411130Mutant Desmin48R.FLEQQNAALAAEVNR.Lhsa:1674Cytoskeleton structural protein activityIntermediate filament C
C13gi|340219Vimentin60K.ILLAELEQLK.G K.ILLAELEQLKGQGK.S K.LQEEMLQREEAENTLQSFR.Q Oxidation (M) R.KVESLQEEIAFLK.K R.QVQSLTCEVDALKGTNESLER.Q R.EYQDLLNVK.M K.MALDIEIATYR.K Oxidation (M) R.ISLPLPNFSSLNLR.Ehsa:7431Apoptosis; cell mobilityCytosol
C13gi|704416Elongation factor Tu45K.LLDAVDTYIPVPAR.Dhsa:7284Oxidative phosphorylationMitochondria
C15gi|34234Laminin-binding protein75R.AIVAIENPADVSVISSR.N R.FTPGTFTNQIQAAFREPR.Lhsa:3921RibosomeCytosol
C16gi|47519616Tropomyosin beta chain isoform 273R.IQLVEEELDR.A R.IQLVEEELDRAQER.L R.LATALQKLEEAEK.Ahsa:7169Muscle contractionCytosol
C17gi|31645Glyceraldehyde-3-phosphate dehydrogenase72K.VIHDNFGIVEGLMTTVHAITATQK.T Oxidation (M) R.DGRGALQNIIPASTGAAK.A R.GALQNIIPASTGAAK.A R.VPTANVSVVDLTCR.L K.LISWYDNEFGYSNR.Vhsa:2597GlycolysisCytosol; plasmatic membrane
C19gi|4505773Prohibitin91R.IFTSIGEDYDER.V R.FDAGELITQR.Ehsa:5245DNA synthesisMitochondrial membrane
C19gi|66473265Beta globin chain50K.VNVDEVGGEALGR.L R.LLVVYPWTKR.Fhsa:5245Oxygen transportHemoglobin
C21gi|494066Chain A, Three- Dimensional Structure Of Class Pi Glutathione S-Transferase From Human Placenta In Complex With S-Hexylglutathione At2.8 Angstroms Resolution36.PPYTVVYFPVRGR.C K.FQDGDLTLYQSNTILR.Hhsa:2940Amino acids metabolismCytosol

DISCUSSION

A large number of proteins were identified in both Groups 1 and 2. Some of these proteins found in Group 1 are also directly involved in the development of other types of cancers and therefore, suitable for analysis. The major stress-inducible heat shock protein, Hsp70, that is a chaperone protein abundantly and preferentially expressed in tumors, was detected in Group 1. Owing to the ability of Hsp70 to protect cells from a wide range of apoptotic and necrotic stimuli, it has been assumed that Hsp70 may confer survival advantage to tumor cell lines. Nylandsted et al. (16) demonstrated that the depletion of Hsp70 by an adenovirus expressing antisense Hsp70 resulted in a massive cell death of tumorigenic cell lines of breast, colon, prostate, and liver. The authors advocate that Hsp70 is a prerequisite for the survival of human cancer cells. Similarly, Aghdassi et al. (17) demonstrated that the depletion of Hsp70 by short interfering RNA treatment induced apoptosis in pancreatic adenocarcinoma. Plectin is a cytolinker protein of the plakin family. Plakins connect intermediate filaments to desmosomes and hemidesmosomes, stabilize cells mechanically, regulate cytoskeleton dynamics, and serve as a scaffolding platform for signaling molecules. Niwa et al. (18) reported that Plectin misexpression leads to displacement of the centrosome, therefore contributing to genomic instability and cancer development. Nevertheless, plectin is not expressed by most normal tissues, with the exception of the skin and genitourinary tract. Interestingly, we have detected plectin solely in Group 1. Complement plays a central part of the innate immune system, providing a highly effective means for destruction of invading microorganisms: clearance of immune complexes; and elimination of dead, apoptotic, and tumor cells. During the evolution of a cancer cell, neo-antigens are produced. These elements distinguish cancer cells from their normal counterparts and may well be recognized by the immune system, eliminating many or most tumors (19, 20). Although most in vivo observations support that many cancers activate the autologous complement system, it is also well-known that the efficiency of complement-mediated tumor cytotoxicity is hampered by various protective mechanisms (21). In this work, human complement C3 was detected only in Group 2. A possible explanation for these findings lies on the theory that patients with malignancies have a poorer immune response. Our result corroborates the study of Ornellas et al. (22), in which the authors have demonstrated that human complement fragments C3 and C4A/B were downregulated in plasma of patients with SCCP. In the present series, all patients from Group 1 were HPV positive and this could explain the absence of complement C3 because viral proteins counteract the immune response (23). Enolase is a key glycolytic enzyme that has been used as a diagnostic marker to identify human lung cancers (24). Higher α-enolase plasma levels were also identified in patients with renal cell carcinoma (25). In cancer cells, enolase is overexpressed and localizes on their surface, where it acts as a key protein in tumor metastasis, promoting cellular metabolism in anaerobic conditions and driving tumor invasion through plasminogen activation and extracellular matrix degradation. It also displays a characteristic pattern of acetylation, methylation, and phosphorylation that regulates protein functions and immunogenicity. In the present study, alfa and beta enolase isoforms were identified exclusively in Group 1. This finding may suggest that in the future, enolase can be used as a possible clinical biomarker. Nevertheless, further studies are needed to corroborate these findings and to determine the usefulness of this protein in clinical scope. Prohibitin is a potential tumor suppressor, which was originally identified because of its anti-proliferative activities. The human prohibitin gene was identified and cloned in 1991, as a result of a search for potential tumor suppressors, on the basis of its anti-proliferative activities (26). Furthermore, prohibitin is capable of inhibiting cell proliferation by repressing the transcriptional activity mediated by E2F which regulates many genes involved in the transition G1/S and DNA synthesis (27). In addition to transcriptional repression, prohibitin can induce p53-mediated transcription, indicating that prohibitin may have dual functions in modulating transcription (28). In a study conducted by Joshi et al. (29), the authors supported this theory by demonstrating that prohibitin can differentially regulate the Yin-Yang 1 and caspase 7 gene promoter activities. Additional functions related to prohibitin were linked to cell apoptosis (30). In this series, prohibitin was exclusively presented in Group 2, supporting its potential tumor suppressor activity. The critical functions of prohibitin in growth control and transcriptional regulation clearly indicate the need for further investigations to elucidate its importance in SCCP development. To our knowledge this is the first study that analyzed penile tumors through proteomics technologies. Unfortunately, as all samples in our analysis were typed as HPV +, it was not possible to perform a comparison concerning HPV status in the group with tumor. As the selected patients were positive for HPV DNA, this fact can cause false negative for complement proteins. The variability could have been better analyzed if there were compared to patients with cancer of the penis, whose tests did not reveal the presence of HPV. The proteomic consequences of HPV infection in penile carcinoma are not known. Analysis of differentially expressed proteins by HPV status revealed enrichment of proteins involved in epithelial cell development, keratinization and extracellular matrix organization in HPV- oropharyngeal carcinoma (OPC), whereas enrichment of proteins in DNA initiation and replication and cell cycle control was found for HPV+ (OPC) (31). Due to the rarity of penile tumors and the high percentage of HPV positive in our samples (8, 13) it is difficult to compare the tumors according to HPV status. However, a second study is underway to compare our results and identify the presence or absence of complement in tissue of SCCP patients negative for HPV.

CONCLUSIONS

We identified a large number of proteins in patients with penile cancer and in the control group. Some of these proteins, found in the first group, are also directly involved in the development of other types of cancers and therefore, suitable for analysis. Further studies are needed to corroborate these findings and to determine the usefulness of each discussed protein in the clinical scope of SCCP patients. Remarkably, this work reinforces that the C3 complement protein is a strong biomarker candidate for evaluating SCCP patients. Further studies should be conducted comparing samples positive for HPV with other HPV negative.
  29 in total

1.  HPV-16 E5 down-regulates expression of surface HLA class I and reduces recognition by CD8 T cells.

Authors:  M S Campo; S V Graham; M S Cortese; G H Ashrafi; E H Araibi; E S Dornan; K Miners; C Nunes; S Man
Journal:  Virology       Date:  2010-11-10       Impact factor: 3.616

2.  Prevalence of human papillomavirus and Epstein-Barr virus DNA in penile cancer cases from Brazil.

Authors:  Larissa Alves Afonso; Natalia Moyses; Gilda Alves; Antônio Augusto Ornellas; Mauro Romero Leal Passos; Ledy do Horto dos Santos Oliveira; Silvia Maria Baeta Cavalcanti
Journal:  Mem Inst Oswaldo Cruz       Date:  2012-02       Impact factor: 2.743

3.  Human papillomavirus genotypes distribution in cervical samples from women living with human immunodeficiency virus.

Authors:  Fabiana G Melgaço; Maria L G Rosa; Everton F Augusto; Jacqueline G S Haimuri; Claudia Jacintho; Larissa S Santos; Silvia M B Cavalcanti; Ledy H S Oliveira
Journal:  Arch Gynecol Obstet       Date:  2010-03-31       Impact factor: 2.344

4.  Downregulation of C3 and C4A/B complement factor fragments in plasma from patients with squamous cell carcinoma of the penis.

Authors:  Paulo Ornellas; Antonio Augusto Ornellas; Clizia Chinello; Erica Gianazza; Veronica Mainini; Marta Cazzaniga; Denise Abreu Pereira; Vanessa Sandim; Ana Sheila Cypriano; Leandro Koifman; Paulo Cesar Barbosa da Silva; Gilda Alves; Fulvio Magni
Journal:  Int Braz J Urol       Date:  2012 Nov-Dec       Impact factor: 1.541

5.  Proteomic analysis of oropharyngeal carcinomas reveals novel HPV-associated biological pathways.

Authors:  Robbert J C Slebos; Nico Jehmlich; Brandee Brown; Zhirong Yin; Christine H Chung; Wendell G Yarbrough; Daniel C Liebler
Journal:  Int J Cancer       Date:  2012-07-20       Impact factor: 7.396

6.  Epidemiological aspects of penile cancer in Rio de Janeiro: evaluation of 230 cases.

Authors:  Leandro Koifman; Antonio J Vides; Nelson Koifman; João P Carvalho; Antonio A Ornellas
Journal:  Int Braz J Urol       Date:  2011 Mar-Apr       Impact factor: 1.541

7.  BRCA2 interacts with the cytoskeletal linker protein plectin to form a complex controlling centrosome localization.

Authors:  Takayoshi Niwa; Hiroko Saito; Shinobu Imajoh-ohmi; Michio Kaminishi; Yasuyuki Seto; Yoshio Miki; Akira Nakanishi
Journal:  Cancer Sci       Date:  2009-07-08       Impact factor: 6.716

8.  Risk factors associated with human papillomavirus infection in two populations from Rio de Janeiro, Brazil.

Authors:  Katia C Silva; Maria Luiza Garcia Rosa; Natalia Moyse; Larissa A Afonso; Ledy Hs Oliveira; Silvia Mb Cavalcanti
Journal:  Mem Inst Oswaldo Cruz       Date:  2009-09       Impact factor: 2.743

9.  Potential tumor markers of renal cell carcinoma: α-enolase for postoperative follow up, and galectin-1 and galectin-3 for primary detection.

Authors:  Naoki Kaneko; Akinobu Gotoh; Noboru Okamura; Ei-ichi Matsuo; Shuji Terao; Makoto Watanabe; Yuji Yamada; Gaku Hamami; Tsutomu Nakamura; Masahiko Ikekita; Katsuhiko Okumura; Osamu Nishimura
Journal:  Int J Urol       Date:  2012-11-01       Impact factor: 3.369

10.  Human papillomavirus and penile cancers in Rio de Janeiro, Brazil: HPV typing and clinical features.

Authors:  Marcos A Scheiner; Mercia M Campos; Antonio A Ornellas; Eduardo W Chin; Maria H Ornellas; Maria J Andrada-Serpa
Journal:  Int Braz J Urol       Date:  2008 Jul-Aug       Impact factor: 1.541

View more
  4 in total

Review 1.  From Normal Skin to Squamous Cell Carcinoma: A Quest for Novel Biomarkers.

Authors:  Vlad Voiculescu; Bogdan Calenic; Mihaela Ghita; Mihai Lupu; Ana Caruntu; Liliana Moraru; Suzana Voiculescu; Alexandra Ion; Maria Greabu; Nikolay Ishkitiev; Constantin Caruntu
Journal:  Dis Markers       Date:  2016-08-23       Impact factor: 3.434

2.  Myiasis associated with penile carcinoma: a new trend in developing countries?

Authors:  Leandro Koifman; Rodrigo Barros; Lucas Schulze; Antonio Augusto Ornellas; Luciano A Favorito
Journal:  Int Braz J Urol       Date:  2017 Jan-Feb       Impact factor: 1.541

Review 3.  Human papilloma virus: Apprehending the link with carcinogenesis and unveiling new research avenues (Review).

Authors:  Daniel Boda; Anca Oana Docea; Daniela Calina; Mihaela Adriana Ilie; Constantin Caruntu; Sabina Zurac; Monica Neagu; Carolina Constantin; Daciana Elena Branisteanu; Vlad Voiculescu; Charalampos Mamoulakis; George Tzanakakis; Demetrios A Spandidos; Nikolaos Drakoulis; Aristides M Tsatsakis
Journal:  Int J Oncol       Date:  2018-01-29       Impact factor: 5.650

4.  Patients with early-stage oropharyngeal cancer can be identified with label-free serum proteomics.

Authors:  Anna Tuhkuri; Mayank Saraswat; Antti Mäkitie; Petri Mattila; Robert Silén; Amy Dickinson; Timo Carpén; Tiialotta Tohmola; Sakari Joenväärä; Suvi Renkonen
Journal:  Br J Cancer       Date:  2018-07-02       Impact factor: 7.640

  4 in total

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