Cervical carcinoma-associated fibroblasts are DNA diploid and do not show evidence for somatic genetic alterations
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Cancer-associated fibroblasts (CAFs) have been recognized as important contributors to cancer development and progression. However, opposing evidence has been published whether CAFs, in addition to epigenetic, also undergo somatic genetic alterations and whether these changes contribute to carcinogenesis and tumour progression.
We combined multiparameter DNA flow cytometry, flow-sorting and 6K SNP-arrays to study DNA aneuploidy, % S-phase, loss of heterozygosity (LOH) and copy number alterations (CNAs) in cervical cancer-associated stromal cell fractions (n = 57) from formalin-fixed, paraffin-embedded (FFPE) samples. Tissue sections were examined for the presence of CAFs. Microsatellite analysis was used to confirm LOH findings.
Smooth muscle actin and vimentin immunohistochemistry verified the presence of CAFs in all cases tested. However, we found no evidence for DNA aneuploidy, somatic genetic alterations in the vimentin-positive stromal cell fractions of any samples, while high frequencies of DNA content abnormalities (43/57) and substantial numbers of CNAs and LOH were identified in the keratin-positive epithelial cell fractions. LOH hot-spots on chromosomes 3p, 4p and 6p found were confirmed by microsatellite analysis.
From our study we conclude that stromal cell fractions from cervical carcinomas are DNA diploid, have a genotype undistinguishable from patient-matched normal tissue and are genetically stable. Using flow cytometry and SNP-arrays, stromal genetic changes do not seem to play a role during cervical carcinogenesis and progression. In addition, the stromal cell fraction of cervical carcinomas can be used as reference allowing large retrospective studies of archival FFPE tissues for which no normal reference tissue is available.
KeywordsCervical cancer Formalin-fixed, paraffin-embedded Carcinoma-associated fibroblast Vimentin Smooth-muscle actin Fluorescence activated cell sorter SNP-array
A major cellular component of the stroma of epithelial tumours is the carcinoma-associated fibroblast (CAF). Several studies demonstrated that CAFs interact with the tumour cells and play an important role during tumour progression and metastatic spread, and harbour biological characteristics distinct from normal fibroblasts of the same organ [1, 2]. Isolates from CAFs strongly promote tumour growth and angiogenesis through secretion of stromal cell-derived factor 1α (SDF-1α) . CAFs resemble myofibroblasts and express vimentin and α-smooth muscle actin (α-SMA). It is proposed that CAFs originate from bone marrow derived mesenchymal stem cells [4, 5].
Stromal epigenetic alterations can have clinical consequences. In oral squamous cell carcinoma it was demonstrated that myofibroblastic stromal SMA expression identified a group of patients with aggressive tumours . Lim and co-workers used cultured fibroblast from normal oral mucosa, epithelial dysplastic tissue and cancerous tissue and identified gene expression profiles that reflected different stages of tumour progression . Amongst involvement of the TNF-α and TGF-β pathway, ACTA2, a gene encoding for α-SMA, was highly expressed. Furthermore, expression signatures from breast cancer strongly associated with clinical outcome .
Also cervical cancer stromal cell fractions have been studied at the expression level using micro-arrays. In response to the progression of pre-cancerous stages of the epithelial cell fraction from CIN I to CIN III the underlying stromal cells alter their expression pattern [9, 10]. During CIN III/squamous cell carcinoma transition a pro-invasive gene signature was identified.
The studies mentioned above emphasize an important role for stroma and CAFs particularly during tumour development and progression, and lately reviewed by Allen, et al. . Beside epigenetic changes genetic changes, e.g. frequent copy number alterations (CNAs), loss of heterozygosity (LOH), have been described in CAFs from bladder cancer, breast cancer [12, 13], colon cancer  and in colitis ulcerosa , attributing an important role of these altered fibroblasts during carcinogenesis and tumour evolution.
Whether cervical cancer stroma fibroblasts also undergo somatic genetic alterations has not been investigated and it remains unclear whether these genetic changes, when present, contribute to the development and sustainment of the tumour. This implies that cervical CAFs have a normal genotype and only undergo epigenetic alterations or that cervical CAFs might accumulate somatic genetic alterations dissimilar from the alterations found in the epithelial cell fraction of cervical cancer. Knowledge on the genetic status of cervical CAFs might have consequences for tumour behaviour and therapy, and the general understanding of this common type of cancer.
In the present study we investigated somatic genetic alterations and DNA content of stromal cell fractions derived from FFPE archival cervical carcinomas. Preceding detection of chromosomal aberrations by 6K GoldenGate SNP-array, a highly suitable platform for detection of CNAs and LOH in FFPE tissues [16, 17], we used FACS to obtain pure stromal and epithelial tumour subpopulations . Patient-matched normal endometrium was used as reference. Through our new approach we were able to determine DNA content, genotype and genomic status of the stromal and the epithelial fractions in FFPE archival cervical carcinomas in parallel.
2 Materials and methods
2.1 Tissue samples and dissociation
Cervical carcinomas were obtained from the FFPE-tissue bank of the Department of Pathology, Leiden University Medical Center (LUMC), Leiden, the Netherlands. Samples were handled according to the medical ethical guidelines described in the Code Proper Secondary Use of Human Tissue established by the Dutch Federation of Medical Sciences (www.federa.org).
Since detection of DNA aneuploidy by flow cytometry amongst other factors depends on the coefficient of variation (CV) of the G0G1 population and the percentage of DNA aneuploid tumour cells in the sample , we selected 57 samples from a large series of FFPE cervical carcinomas showing DNA histograms with a CV of the keratin-positive G0G1 population of 6.0% or lower, without a priori knowledge of the ploidy status of the stromal cell fractions.
Paraffin sections taken from all samples were H&E stained and reviewed by a pathologist (GJF). The tumour nodule, including the intra-tumour stroma, was marked on the H&E section using a pencil. Preceding flow cytometric processing, carcinoma tissue was enriched for carcinoma and carcinoma-associated stroma by trimming the normal epithelium and/or superfluous stromal tissue and smooth muscle tissue using surgical knifes and the marked-up H&E section as a guide. This way the workup of stromal cells outside the tumour nodule was prevented.
Cell suspensions were prepared, as described in detail elsewhere . In short, from 57 plus one (example with poorly differentiated tumour cells) cervical carcinomas and matching lymph nodes and/or endometrium six to ten 60 μm sections from each paraffin block were taken. After collecting the thick section, a 4 μm section was taken and H&E stained for reviewing the presence of tumour tissue. The thick tissue sections were processed for flow cytometry. In short, sections were dewaxed and submerged in citrate buffer for antigen retrieval at 80°C for 60 min. Next, sections were dissociated using a mixture of collagenase/dispase at 37°C. Then cells were harvested, washed, counted and stored on ice until further use.
2.2 Immunocytochemistry of cell suspensions
Immunocytochemistry was performed as described earlier , with minor modifications . In short, five million cells were incubated with 200 μl of monoclonal antibody mixture in PBS/1% BSA/0.05% Tween 20 (PBATw) containing anti-keratin MNF116 (Cat. # 0821, DAKO, Glostrup, Denmark), working concentration 10 μg/ml, anti-keratin AE1/AE3 (Cat. # MAB3412, Millipore–Chemicon, Billerica, MA), working concentration 25 μg/ml PBATw and anti-vimentin V9-2b (diluted 1:5) (Antibodies for Research Applications BV, Gouda, The Netherlands, http://www.abforresearch.nl/) overnight at 4°C. The next day, cells were washed twice with ice-cold PBATw and centrifuged at 750 × g for 5 min at 4°C. Then, cells were incubated with 200 μl premixed FITC- or RPE-labelled secondary reagents [Goat F(ab2)′ anti-mouse IgG1-FITC and goat F(ab2)′ anti-mouse IgG2b-RPE (Southern Biotechnology Associates, Birmingham, AL), both diluted 1:100 in PBATw.] After 30 min on ice, cells were washed twice with ice-cold PBATw and incubated with 1,000 μl NST DNA staining solution containing 50 μM DAPI (Sigma Aldrich) . Cells were kept at room temperature for 30 min, followed by an overnight storage at 4°C. To reduce unwanted cell loss, compensation controls contained one fifth of the concentration of primary antibodies used for labelling samples for sorting. DAPI concentration was decreased to 10 μM.
Immunohistochemistry for smooth muscle actin (SMA) and vimentin was performed on 4 μm sections and aminopropylethoxysilane-coated slides. In short, paraffin sections were deparaffinised and rehydrated. After antigen retrieval with citrate endogenous peroxidase was quenched with H2O2. Next, slides were washed in PBS and were incubated overnight at room temperature with a SMA-specific primary antibody diluted 1:80 (clone 1A4, concentration 100 μg/ml, Cat. # M0851, Dako, Glostrup, Denmark). Clone V9 and clone 1C7 were used as diluted culture supernatant (1:80 and 1:40) for detection of vimentin and keratin 13 expression, respectively (Cat. # 2202MVI and Cat. # 2202M1C7, EuroProxima B.V., Arnhem, the Netherlands). After washing with PBS sections were subjected to the standard three-step ABC method (Dako, Glostrup, Denmark). Immune complexes were visualized with diaminobenzidine (Sigma, St. Louis) in a Tris–HCl buffer containing H2O2. Mayer’s hematoxylin was used for counterstaining. Brown staining of cytoplasm indicated positivity. Slides without primary antibody were used as a negative control.
2.4 Flow cytometry and sorting
During acquisition a gate was created to collect 20,000 keratin-positive single cell events using an LSRII (BD Biosciences, Erembodegem, Belgium) flow cytometer, equipped with a 21 mW 488 nm laser and a 20 mW 355 nm UV laser. A data file contained all events. The UV 355 BP 450/50-A/UV 355 BP 450/50-H vs. UV 355 BP 450/50-A pulse-processor was used to enrich for single cell events during acquisition and analysis. Detector F, BLUE 488 BP 530/30-A and detector E, BLUE 488 BP 575/26-A, were used to collect FITC and RPE fluorescence, respectively.
For data analysis, DNA index (DI) and coefficient of variation (CV) calculation the WinList 6.0 and ModFit 3.2.1 software packages were used (Verity Software House, Inc., Topsham, ME). N-color compensation was used for post-acquisition spectral cross-talk correction according to the manufacturer’s instructions, without the use of hyperlog transformation or log bias.
To largely limit the effect of fragmented or damaged nuclei generated during sample preparation on genomic data sorting was restricted to the G0G1 vimentin-positive, keratin-negative stromal cell fractions and the vimentin-negative, keratin-positive tumour cell fractions. Cells were flow-sorted using a FACSAria I flow-sorter at 40 psi (BD Biosciences, Erembodegem, Belgium) with a 100 μm nozzle at a frequency of approximately 52.4 kHz in purity mode. The 488 nm and the 407 nm laser line were used for excitation. These settings allowed us to typically flow-sort 800 × 103 cells in 5 ml FalconTM tubes. The following detector and filter settings were used during sorting: FITC fluorescence, detector E (BLUE 488 BP 530/30-A), RPE fluorescence, detector D, (BLUE 488 BP 575/26-A) and DAPI fluorescence, detector A (VIOLET 407 BP 450/50-A). A dot plot VIOLET 407 BP 450/50-A/VIOLET 407 BP 450/50-H vs. VIOLET 407 BP 450/50-A was created to gate out doublet and aggregates during sorting. After sorting, cells were centrifuged at 4,000 × g for 10 min before DNA was extracted.
2.5 DNA isolation
DNA was isolated as described using an overnight digestion with proteinase K at 56°C . DNA was purified using the Promega Protein Precipitation solution (Promega, Leiden, Netherlands, Cat. # A1120) according to the manufacturer’s instructions. DNA concentrations were determined using the Picogreen method (Invitrogen, Leiden, The Netherlands).
2.6 SNP array analysis
SNP arrays were performed at the Leiden Genome Technology Center (http://www.lgtc.nl) as described  with minor modifications: 0.4–1.0 μg DNA was used as input in a multi-use activation step and was subsequently dissolved in 60 μl resuspension buffer. Genotypes and the GCS score were extracted using Beadstudio 2.3 (Illumina, Eindhoven, The Netherlands). Only genotypes with a GCS over 0.5 were used to eliminate low quality calls from this analysis. LOH within a tumour sample was determined by comparison to the reference sample. Informative SNPs, SNPs at which the reference sample is heterozygous, were checked for homozygosity and LOH was indicated when two neighbouring informative SNPs were homozygous in the tumour sample.
The beadarraySNP package was adapted to combine copy number profiles, allele-specific intensities and the DNA index as described elsewhere .
In short, the lesser allele intensity ratio (LAIR) is calculated for all informative SNPs. This value is close to 1 when the contribution of both alleles of an SNP to the total intensity in the tumour is similar to that of the reference sample. The value is close to 0 when there is no signal for either of the alleles in the tumour (LOH). Allelic imbalances will show intermediate values. Regions with lesser allele intensity ratio close to 1 should have an even copy number. Next, a segmentation procedure is applied to find genomic regions that have the same copy number and LAIR . The copy numbers assigned to each segment are adjusted to the measured DNA index obtained by flow cytometry. This is used to determine the copy number of both alleles in each genomic region referred to as the allelic state .
2.7 Microsatellite analysis
Genomic DNA was taken from 12 flow-sorted carcinomas samples that showed LOH on 3p14.2 (FHIT), 4p15.2 and/or 6p21.3 (HLA-I) in the keratin-positive tumour fraction by SNP-array analysis. DNA extracted from the flow-sorted vimentin-positive, patient-matched normal endometrium fractions was used as reference. Ten informative microsatellite primer pairs were selected (for primer sequences: see Supplementary Table S1): D3S1313, D3S1234, D3S4103, D4S1609, D4S3013, D4S1546, D6S1666, D6S273, MOGC and D6S265 (Genome Database, http://www.gdb.org). From each primer set the forward primer was labelled with FAM (keratin-positive fraction) or JOE (vimentin-positive fraction). The reverse primers were left unlabeled. Polymerase chain reactions (PCRs) were performed according to standard procedures (Supplementary Table S1). For each PCR ten nanogram of DNA was used as input. The fluorescent PCR products were run using an ABI 310 automated sequencer (Applied Biosystems, Foster City, USA) applying filter set F. The GeneScan™ -500 ROX™ was used as size standard (Applied Biosystems). The results were analyzed using the ABI prism GeneScan 3.1 program. All markers provided interpretable results.
3.1 Flow cytometry
Flow cytometry is a reliable method to examine clonal expansion of cells in carcinoma samples. Based on DNA content inferences can be made about the contribution of different cell cycle phases and the DNA index (DI) of the tumour cells can be calculated.
After histogram analysis the average CV of the stromal cell fractions was 3.7% +/− 1.2%. Despite the good quality of the DNA histograms, cell populations with an abnormal DNA content were not detected in any of the 57 stromal cell fractions. DNA histograms from patient-matched normal endometrium or lymph nodes were used as unimodal controls. CVs were 3.3% +/− 1.0% and 3.8% +/− 1.3%, respectively and in the same range as the carcinoma-stromal cell fractions. By flow cytometry no DNA aneuploidy was observed in these samples either. However, technically we were able to detect DNA aneuploidy in stromal fractions of cervical carcinomas, as demonstrated by a rare case (sample-58) containing poorly differentiated tumour cells (Supplementary Figure S1).
Summary of flow cytometric analysis of cervical cancer stromal cells and epithelial cells, patient-matched normal endometrium and lymph nodes
V + stroma
K + carcinoma
V + endometrium
V + lymph node
DNA (pseudo) diploid
DNA aneuploid (1 population)
DNA aneuploid and pseudo-diploid
DNA aneuploid (2 populations)
Average% CV +/− SD
3.7 +/− 1.2
4.1 +/− 1.0
3.3 +/− 1.0
3.8 +/− 1.3
Average% S-phase +/− SD
1.4 +/− 1.8
14.6 +/− 8.5
0.1 +/− 0.3
0.6 +/− 1.0
Average% BAD +/− SD
14.1 +/− 7.7
33.4 +/− 12.3
23.3 +/− 9.3
12.1 +/− 9.1
In contrast, 14 (25%) of the keratin-positive epithelial cell fractions were DNA pseudo-diploid. Forty three samples (75%) showed a DNA aneuploid fraction. Ten of the DNA aneuploid samples were bimodal and also showed a second (minor) epithelial population, either DNA pseudo-diploid or DNA aneuploid (for details see Table 1).
3.2 Confirmation of CAFs by IHC of SMA and vimentin
3.3 Detection of CNAs and LOH
The G0G1 of the stromal cell fractions and the G0G1 of the epithelial cell fractions were flow-sorted. DNA was extracted and used in the GoldenGate 6K SNP-array. DNA extracted from flow-sorted vimentin-positive, keratin-negative histological tumour free patient-matched normal endometrium served as reference. Genome-wide genomic profiles from the flow-sorted stromal cells were compared with that of patient-matched controls and with the keratin-positive fractions.
The genotype concordance between the cervical cancer stromal cell fractions and the paired endometrial samples was >99.9%. By integrating the DNA index in the analysis true copy numbers can be estimated. This method was recently introduced as LAIR-analysis (lesser allele intensity ratio analysis) .
Since no somatic genetic alterations were identified in the stromal fractions of the selected tumours, we processed the remaining 37. Also in these samples no CNAs or LOH were detected (Supplementary Figure S3 shows LAIR-analysis of all stromal cell fractions and of all patient-matched endometrium cell fractions used in this study).
3.4 Microsatellite analysis
Using a combined approach of DNA content flow-sorting and SNP-arrays we found no evidence for somatic genetic alterations in stromal cell fractions from cervical carcinomas. We clearly show for the first time that these cell fractions are DNA diploid and hold a genotype that cannot be discriminated from patient-matched normal endometrium samples. From our study it can be concluded that somatic genetic alterations in cervical cancer tumour stroma cells do not occur and as a result cannot contribute to development and progression of cervical cancer.
Our findings are in contrast to several earlier studies in tumour stroma showing high frequencies of genomic aberrations, e.g. LOH and CNAs, in diverse types of carcinomas [12, 24, 25, 26, 27]. Since LOH and CNAs are associated with DNA aneuploidy [28, 29] we should have been able to detect small DNA aneuploid populations in the stromal fractions using our multi-parameter flow cytometric technique. In spite of this 57 samples were devoid of DNA aneuploidy in the stromal cell fractions. We added a sample containing a small fraction of poorly differentiated cells that lost keratin expression (Supplementary Figure S1) to show our technique is sensitive enough to pick up small subpopulations of aneuploid cells.
To our knowledge there are only a few other reports showing a lack of evidence of somatic genetic alterations in tumour stroma. These studies were all performed using microdissected stroma from fresh/frozen breast and ovarian cancer samples [30, 31, 32, 33]. Conversely, the earlier studies that do show somatic genetic alterations in stroma used microdissected cells from FFPE archival samples. Hence, the somatic genetic changes found in CAFs might have been falsely introduced by the low yields and degraded DNA generally obtained after microdissection of formalin-fixed samples. Indeed, low concentrations of DNA input may cause spurious changes [34, 35]. Degraded DNA has also been suggested as a source for errors [31, 33, 36]. However, in the current study we clearly demonstrated that with our preparation technique and FACS sufficient amounts of DNA can be isolated for SNP-array analysis from FFPE tissues without the introduction of artificial LOH or copy number changes due to low DNA yields or whole genome amplification . In addition to the high cell yields that can be obtained after our collagenase/dispase dissociation method of FFPE tissues, FACS can separate tumour sub populations based on DNA index, allowing the study of intratumour heterogeneity [18, 38, 39]. Furthermore, restricting the sorting to the G0G1 population excludes damaged or fragmented nuclei from the tested DNA. This improves the quality of the genomic data generated from SNP-arrays (see Fig. 3). We also demonstrated for the first time that these kind of studies are possible in FFPE archival samples using multiparameter DNA flow-sorting and SNP-arrays. In retrospective studies typically only FFPE tissue is available, and it is often hard to obtain paired genetically normal tissue for comparison. FACS can overcome this limitation, and generates patient-matched tumour and control DNA where the handling and storage conditions of DNA from different cell populations have been identical.
Our findings match with the general paradigm of cervical carcinogenesis, that only the epithelial cell fraction of cervical carcinomas harbours HPV causing cellular and molecular alterations while the stromal cell fraction is free of this oncogenic virus . As described by others epigenetic stromal changes seem to assist cervical cancer development and progression [9, 10]. Amongst infiltrating lymphocytes showing tumour associated cytokine/chemokines repertoires, fibroblasts can be found that changed morphology and protein expression. Smooth muscle actin was abundantly expressed in the micro environment of the tumour nodules (see Fig. 2) reflecting the presence of myofibroblasts. Recent studies in oral squamous cell carcinoma also showed high levels of SMA expression , which was significantly associated with disease mortality . In a previous study from our group we demonstrated high levels of (activated) TGF-β in cervical cancer stroma . Activated TGF-β can explain the high expression of SMA, since this chemokine induces SMA expression . Furthermore, TGF-β is a potent inhibitor of cell cycle progression of normal cells , which can also explain the low percentage of stromal cells in S-phase comparable to S-phases found in normal endometrium and lymph nodes. These findings are similar to those observed in genetically unstable oral squamous cell carcinomas of which cultured CAFs showed less proliferative activity as compared to other fibroblast subtypes. Simultaneously, cell cycle-related genes were down-regulated . Cancer cells can bypass a TGF-β dependent cell cycle blockage. Indeed, a significantly higher average S-phase (average 15%) was found for the epithelial cell fractions. Likely, CAFs do not proliferate locally but resemble a population of fibroblasts which proliferated and migrated from outside the tumour nodule and differentiated in myofibroblasts. Our observations are supported by a study into the origin of murine CAFs showing that at least 25% of the CAFs are generated in the bone marrow and migrate to the tumour stroma . Taken together, these findings weaken the point of a local proliferation of the tumour micro environment and clonal outgrowth of stromal cells carrying somatic genetic changes [12, 13, 44]. The complete loss of an allele detected by microsatellite analysis is also hard to understand in light of the heterogeneous composition of the tumour stroma and microdissection as method of purification of cell populations. It can only be explained by a clonal expansion of a cell population devoid of unaffected cells. For isolation of DNA, tumour stroma nodules up to 5 mm distant from the tumour nodule were selected [44, 45]. Tumour stroma is, in addition to fibroblast and CAFs, mainly composed of variable numbers of leukocytes. This is true not only in cervical but also in breast, colon, ovarian carcinomas and other types of cancer. The admixture of these (genetically normal) cells hinders the detection of absolute LOH resulting in measurements of allelic imbalances.
We are aware that the resolution of about 500 kb of the GoldenGate SNP-array used in our study is quite low. It is however sufficiently large to detect the reported whole chromosome arm losses or changes of multiple microsatellite markers in tumour stroma as described by other studies. Indeed, SNP-array analysis clearly showed (see Fig. 3) that all epithelial cell fractions, including those identified as DNA pseudo-diploid, harboured genetic alterations (manuscript in preparation). Microsatellite analysis confirmed the LOH identified using SNP-arrays at the cervical cancer hot spots on chromosomes 3p [46, 47, 48], 4p [49, 50] and 6p [39, 46, 51] in the epithelial cells fractions but also did not reveal genetic alteration in any of the stromal cell populations tested. In addition, the epithelial fractions showed DNA aneuploidy in 75% of the samples, which is comparable to a multiparameter flow cytometric study using fresh/frozen samples. This demonstrates the reliability of our technique for FFPE samples .
In conclusion, we clearly show by DNA content flow cytometry, FACS and SNP-arrays that cervical cancer stromal cells are DNA diploid, are genetically stable and have a genotype undistinguishable from that of patient-matched normal endometrium. Our findings are of importance to the general understanding of cervical carcinogenesis. Stromal epigenetic alterations rather than stromal genetic alterations seem to play a role in cervical carcinogenesis. Furthermore, reliable genotypes can be generated from flow-sorted tumour subpopulations of a large series of FFPE archival cervical carcinomas. In addition, the stromal compartment of cervical carcinomas can be used as DNA-matched control allowing large retrospective studies of archival FFPE tissues for which no normal reference tissue is available.
We thank Klaas van der Ham for his assistance in photography of tissue sections.
Disclosure/Conflict of Interest
Potential conflicts do not exist for this study.
Willem Corver and Jan Oosting designed the study and wrote the paper. Willem Corver and Natalja ter Haar performed the experimental work including, cell preparation, FACS analysis and cell sorting, DNA extraction and purification, SNP genotyping, data analysis and immunohistochemistry. Natalja ter Haar performed microsatellite analysis. Gert Jan Fleuren reviewed all tissue sections and assisted in preparing the manuscript. Jan Oosting performed SNP-array analysis.
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- 3.A. Orimo, P.B. Gupta, D.C. Sgroi, F. Arenzana-Seisdedos, T. Delaunay, R. Naeem, V.J. Carey, A.L. Richardson, R.A. Weinberg, Stromal fibroblasts present in invasive human breast carcinomas promote tumor growth and angiogenesis through elevated SDF-1/CXCL12 secretion. Cell 121, 335 (2005)PubMedCrossRefGoogle Scholar
- 6.D. Marsh, K. Suchak, K.A. Moutasim, S. Vallath, C. Hopper, W. Jerjes, T. Upile, N. Kalavrezos, S.M. Violette, P.H. Weinreb, K.A. Chester, J.S. Chana, J.F. Marshall, I.R. Hart, A.K. Hackshaw, K. Piper, G.J. Thomas, Stromal features are predictive of disease mortality in oral cancer patients. J. Pathol. 223, 470 (2011)PubMedCrossRefGoogle Scholar
- 9.D. Gius, M.C. Funk, E.Y. Chuang, S. Feng, P.C. Huettner, L. Nguyen, C.M. Bradbury, M. Mishra, S. Gao, B.M. Buttin, D.E. Cohn, M.A. Powell, N.S. Horowitz, B.P. Whitcomb, J.S. Rader, Profiling microdissected epithelium and stroma to model genomic signatures for cervical carcinogenesis accommodating for covariates. Canc. Res. 67, 7113 (2007)CrossRefGoogle Scholar
- 10.S. Sahebali, G. Van den Eynden, E.F. Murta, M.A. Michelin, P. Cusumano, P. Petignat, J.J. Bogers, Stromal issues in cervical cancer: a review of the role and function of basement membrane, stroma, immune response and angiogenesis in cervical cancer development. Eur. J. Canc. Prev. 19, 204 (2010)CrossRefGoogle Scholar
- 12.F. Moinfar, Y.G. Man, L. Arnould, G.L. Bratthauer, M. Ratschek, F.A. Tavassoli, Concurrent and independent genetic alterations in the stromal and epithelial cells of mammary carcinoma: implications for tumorigenesis. Canc. Res. 60, 2562 (2000)Google Scholar
- 16.E.H. Lips, J.W. Dierssen, R. van Eijk, J. Oosting, P.H. Eilers, R.A. Tollenaar, E.J. de Graaf, R. van't Slot, C. Wijmenga, H. Morreau, T. van Wezel, Reliable high-throughput genotyping and loss-of-heterozygosity detection in formalin-fixed, paraffin-embedded tumors using single nucleotide polymorphism arrays. Canc. Res. 65, 10188 (2005)CrossRefGoogle Scholar
- 18.W.E. Corver, A. Middeldorp, N.T. Ter Haar, E.S. Jordanova, M. van Puijenbroek, R. van Eijk, C.J. Cornelisse, G.J. Fleuren, H. Morreau, J. Oosting, T. van Wezel, Genome-wide allelic state analysis on flow-sorted tumor fractions provides an accurate measure of chromosomal aberrations. Canc. Res. 68, 10333 (2008)CrossRefGoogle Scholar
- 19.P.S. Rabinovitch, Practical considerations for DNA content and cell cycle analysis, in Clinical flow cytometry, ed. by K.D. Bauer, R.E. Duque, T.V. Shankey (Williams & Wilkins, Baltimore, 1993), p. 117Google Scholar
- 20.W.E. Corver, N.T. Ter Haar, E.J. Dreef, N.F. Miranda, F.A. Prins, E.S. Jordanova, C.J. Cornelisse, G.J. Fleuren, High-resolution multi-parameter DNA flow cytometry enables detection of tumour and stromal cell subpopulations in paraffin-embedded tissues. J. Pathol. 206, 233 (2005)PubMedCrossRefGoogle Scholar
- 21.W.E. Corver, N.T. Ter Haar, High-resolution multiparameter DNA flow cytometry for the detection and sorting of tumor and stromal subpopulations from paraffin-embedded tissues. Curr. Protoc. Cytom. Chapter 7, Unit 7.37 (2011)Google Scholar
- 31.W. Qiu, M. Hu, A. Sridhar, K. Opeskin, S. Fox, M. Shipitsin, M. Trivett, E.R. Thompson, M. Ramakrishna, K.L. Gorringe, K. Polyak, I. Haviv, I.G. Campbell, No evidence of clonal somatic genetic alterations in cancer-associated fibroblasts from human breast and ovarian carcinomas. Nat. Genet. 40, 650 (2008)PubMedCrossRefGoogle Scholar