Oral squamous cell carcinomas are among the 10 most common cancers and have a 50% lethality rate after 5 years. Despite easy access to the oral cavity for cancer screening, the main limitations to successful treatment are uncertain prognostic criteria for (pre-)malignant lesions. Identifying a functional cellular marker may represent a significant improvement for diagnosis and treatment. Toward this goal, mechanical phenotyping of individual cells is a novel approach to detect cytoskeletal changes, which are diagnostic for malignant change. The compliance of cells from cell lines and primary samples of healthy donors and cancer patients was measured using a microfluidic optical stretcher. Cancer cells showed significantly different mechanical behavior, with a higher mean deformability and increased variance. Cancer cells (n ≈ 30 cells measured from each patient) were on average 3.5 times more compliant than those of healthy donors [Dnormal = (4.43 ± 0.68) 10−3 Pa−1; Dcancer = (15.8 ± 1.5) 10−3 Pa−1; P < 0.01]. The diagnosis results of the patient samples were confirmed by standard histopathology. The generality of these findings was supported by measurements of two normal and four cancer oral epithelial cell lines. Our results indicate that mechanical phenotyping is a sensible, label-free approach for classifying cancer cells to enable broad screening of suspicious lesions in the oral cavity. It could in principle be applied to any cancer to aid conventional diagnostic procedures. [Cancer Res 2009;69(5):1728–32]

Oral squamous cell carcinomas (OSCC) are among the 10 most common cancers in the world (1). Due to difficulties with early clinical and histologic diagnosis and lack of an unequivocal molecular marker for clinical outcome, the death rate for this particular cancer is higher than for cutaneous malignant melanomas or cervical cancer (1, 2). Despite great efforts in handling oral cancer, the prognosis for many patients is devastating with a 5-year survival rate below 50%. Earlier diagnosis is currently the most promising avenue for improving survival rates but can only be achieved by means of targeted screening measures applied on a broad scale provided that appropriate diagnostic procedures are available.

Conventional histologic investigation requires an invasive scalpel biopsy to obtain the tissue specimen of interest, cannot easily be performed as a screening measure, and is prone to subjective errors. However, this seems to be the only accepted method to evaluate suspicious oral lesions. An improved diagnostic procedure should, thus, be easily performed without surgical intervention, require only a few cells, and be based on a quantifiable physical variable to reduce operator errors.

Using the mechanical properties of single cells as a diagnostic marker could offer a sensible target for such screening. The mechanical properties of human cells are largely governed by the cytoskeleton. Although the genetic and molecular origin of cancer is multifaceted, continuous changes in the actin cytoskeleton during the progression of the disease are common to all forms of cancer (3). During the descent of the cell from a mature, differentiated state to a highly mitotic and motile cancer cell, the cytoskeleton regresses from an ordered and fairly stiff structure to a more irregular and compliant state (3, 4). Consequently, these cytoskeletal alterations should lead to a change in the mechanical fingerprint of the individual cells.

The mechanical properties of individual cells can be determined with a microfluidic optical stretcher (μOS), a dual-beam laser trap optimized to trap and deform single cells in suspension by two counterpropagating laser beams (Fig. 1; ref. 5). The measurable variable is the temporal development of the relative radial elongation of the cell, or strain (Fig. 1D), when subjected to a constant mechanical stress (Supplementary Fig. S1). Cells display viscoelastic behavior, following the applied stress with some retardation (Fig. 2). Using the tensile creep compliance (the strain normalized by the peak stress σ0 applied) allows the direct comparison of cell deformability between different cells. A more compliant (i.e., more easily deformed) cell exhibits a higher D at a particular time t.

Figure 1.

Working principle of the μOS. A, a cell is trapped between two counterpropagating divergent laser beams (λ = 1,064 nm) at low laser power (P = 0.2 W), where there is no measurable deformation. B, by increasing the power (P = 1.4 W), the surface stress is sufficient to deform the cell along the laser beam axis. C, phase-contrast image of the experimental arrangement. A cell is trapped from a flowing suspension inside a glass microcapillary by two laser beams (not visible) that emanate from opposing single-mode optical fibers. D, phase-contrast images of an OKF-6 cell in the μOS at the beginning (t = 0 s) and after application of elevated stress (t = 2 s). The relative radial deformation [strain, ε(t) = Δr(t)/ro] along the laser beam axis is measured by video microscopy.

Figure 1.

Working principle of the μOS. A, a cell is trapped between two counterpropagating divergent laser beams (λ = 1,064 nm) at low laser power (P = 0.2 W), where there is no measurable deformation. B, by increasing the power (P = 1.4 W), the surface stress is sufficient to deform the cell along the laser beam axis. C, phase-contrast image of the experimental arrangement. A cell is trapped from a flowing suspension inside a glass microcapillary by two laser beams (not visible) that emanate from opposing single-mode optical fibers. D, phase-contrast images of an OKF-6 cell in the μOS at the beginning (t = 0 s) and after application of elevated stress (t = 2 s). The relative radial deformation [strain, ε(t) = Δr(t)/ro] along the laser beam axis is measured by video microscopy.

Close modal
Figure 2.

Compliance of normal and cancer cells. A, averaged temporal development of the compliance of all primary normal (PHK) and cancer cells (OSCC). Of each sample, n = 10 to 60 cells were measured. B, difference in compliance between metastatic and nonmetastatic OSCCs. Averaged temporal development of the compliance of all cells (n = 71) from four tumors that had developed regional lymph node metastases (OSCC1, OSCC2, OSCC4, and OSCC5; Table 1) and the one tumor sample without metastases (OSCC3; n = 13). All five tumors had the same grading. The metastatic cells are more compliant. C, averaged temporal development of the compliance of all normal cell lines (OKF-4 and OKF-6) and all cancer cell lines (CAL-33, CAL-27, BHY, and HN). The gray backgrounds indicate the 2.0-s duration of stress application (except 0.8 s for the cancer cell lines in C). Points, mean; bars, SE.

Figure 2.

Compliance of normal and cancer cells. A, averaged temporal development of the compliance of all primary normal (PHK) and cancer cells (OSCC). Of each sample, n = 10 to 60 cells were measured. B, difference in compliance between metastatic and nonmetastatic OSCCs. Averaged temporal development of the compliance of all cells (n = 71) from four tumors that had developed regional lymph node metastases (OSCC1, OSCC2, OSCC4, and OSCC5; Table 1) and the one tumor sample without metastases (OSCC3; n = 13). All five tumors had the same grading. The metastatic cells are more compliant. C, averaged temporal development of the compliance of all normal cell lines (OKF-4 and OKF-6) and all cancer cell lines (CAL-33, CAL-27, BHY, and HN). The gray backgrounds indicate the 2.0-s duration of stress application (except 0.8 s for the cancer cell lines in C). Points, mean; bars, SE.

Close modal

To investigate the potential of cell mechanics as a novel marker for OSCCs, we analyzed the compliance of normal and cancer cells from cell lines and, for the first time, also from primary cell samples in a clinical setting obtained from healthy and oral cancer patients. The assessment was confirmed by standard histopathology.

Compliance measurements with a μOS. Measurements were performed as described elsewhere (6). Briefly, individual cells were trapped by two laser beams at low laser power and subsequently stretched out by an elevated optical stress σ at a high laser power. The peak stress ranged from σ0 = 1 to 5 Pa and was calculated as described previously (5). The duration of the stretch was 0.8 to 2 s. The response of the cells in the μOS was monitored via video microscopy and analyzed by custom-made algorithms.

Primary cells. Primary oral cells were obtained by tissue biopsy from the oral mucosa of four voluntary donors and five cancer patients (see Table 1). The ethics committee of the University of Leipzig approved the research protocol and all participants gave written informed consent according to the Declaration of Helsinki. All biopsies from cancer patients were confirmed histologically. Tissue samples were disinfected with Betaisodona (Mundipharma), rinsed twice in PBS, and placed in 2.5 mg/mL Dispase II (Roche) in DMEM for 18 to 24 h at 4°C. Subsequently, the epidermis was pealed off, fragmented, and incubated in 0.25% trypsin/EDTA for 5 min. Trypsin activity was stopped with DMEM containing 10% serum. The suspension was centrifuged, resuspended in keratinocyte basal medium (Clonetics) with 100 units/mL penicillin and 100 μg/mL streptomycin, and cultured at 37°C/5% CO2. All primary samples were measured within a few days after biopsy (see Supplementary Fig. S2).

Table 1.

Synopsis of patients' clinical palpation status and histopathologic variables according to UICC (10)

OSCCAgePalpation statusT class (pT)Nodal status (pN)GradeType (ICD-O)Location (ICD-O)
71 8071-3 C06.0 
46 2b 8070-3 C02.8 
45 8070-3 C06.8 
64 8070-3 C06.8 
53 8070-3 C04.8 
OSCCAgePalpation statusT class (pT)Nodal status (pN)GradeType (ICD-O)Location (ICD-O)
71 8071-3 C06.0 
46 2b 8070-3 C02.8 
45 8070-3 C06.8 
64 8070-3 C06.8 
53 8070-3 C04.8 

Abbreviation: ICD-O, International Classification of Diseases for Oncology.

Cell lines. Normal oral epithelial cell lines OKF-4TERT1 and OKF-6TERT1 (7) and oral epithelial cancer cell lines HN (8), BHY (8), CAL-27 (9), and CAL-33 (Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH; ref. 9) were cultured in a 37°C/5% CO2 environment. OKF cells were cultured in keratinocyte serum-free medium (Life Technologies/Invitrogen) supplemented with epidermal growth factor (3.22 μg/mL), bovine pituitary extract (12.52 mg/mL), calcium chloride (0.3 mmol/L), penicillin (100 units/mL), and streptomycin (100 μg/mL). Cancer cell lines were cultured in DMEM with high glucose (Sigma-Aldrich), 20% fetal bovine serum, and 5 mL HEPES. Before measurement, cells were trypsinized, centrifuged, and resuspended in medium.

Statistical analysis. Because normal distributions could not be established, a nonparametric Mann-Whitney U test was used to test for significance. The P values for a 95% confidence interval are reported.

The deformability of individual normal and cancerous oral epithelial cells was serially investigated with a μOS. All cells were singularized and prepared before measurement as described above. The different viscoelastic responses of the cells under stress are shown in Fig. 2. The temporal development of the deformability displayed typical viscoelastic behavior on the timescale of seconds. Primary cells (each n ≈ 30) from five patients with an OSCC and four voluntary healthy donors [primary human keratinocytes (PHK)] showed viscoelastic compliant behavior (Fig. 2A) with cancerous cells being >3.5 times more deformable at t = 0.2 second than normal cells (P < 0.01). The average compliance values were Dc(0.2 second) = (15.8 ± 1.5) 10−3 Pa−1 and Dn(0.2 second) = (4.43 ± 0.68) 10−3 Pa−1, respectively. The compliance distributions were broadened and had a higher mean value for cancer cells compared with normal cells (Fig. 3A). The histologic examination of the resected cancer tissue of the respective patients clearly confirmed malignancy; the International Union Against Cancer histologic variables (10) are summarized in Table 1. Interestingly, cells from the one tumor without regional lymph node metastases were less compliant than those from tumors with metastases (Fig. 2B).

Figure 3.

Compliance distributions at particular time points. The compliance distributions at t = 0.2 s (arrow in Fig. 2A) of (A) three normal PHK samples and (B) three OSCC samples and compliance distributions of (C) both normal cell lines (OKF-4 and OKF-6) and (D) four cancer cell lines (CAL-33, CAL-27, BHY, and HN) at t = 0.5 s (arrow in Fig. 2C). Normal and cancerous cells are statistically distinguishable in a Mann-Whitney U test (primary cells, P < 0.01; cell lines, P < 0.05). In each panel, the mean and SD of the compliance distribution is given in units of 10−2 Pa−1.

Figure 3.

Compliance distributions at particular time points. The compliance distributions at t = 0.2 s (arrow in Fig. 2A) of (A) three normal PHK samples and (B) three OSCC samples and compliance distributions of (C) both normal cell lines (OKF-4 and OKF-6) and (D) four cancer cell lines (CAL-33, CAL-27, BHY, and HN) at t = 0.5 s (arrow in Fig. 2C). Normal and cancerous cells are statistically distinguishable in a Mann-Whitney U test (primary cells, P < 0.01; cell lines, P < 0.05). In each panel, the mean and SD of the compliance distribution is given in units of 10−2 Pa−1.

Close modal

Comparing two normal and four cancer cell lines (Fig. 2C), the cancer cells deformed more rapidly on stress application and the extension reached a plateau after ∼0.2 second (thus, the stress duration was kept shorter than for the other measurements). The normal cells exhibited a more retarded behavior, where the deformation increased at a slower rate. The mean compliances at t = 0.5 second for all normal and all cancer cell lines were Dn(0.5 second) = (7.18 ± 0.43) 10−3 Pa−1 and Dc(0.5 second) = (18.2 ± 1.1) 10−3 Pa−1, respectively. The cancer cells were >2.5 times more deformable and could clearly be distinguished from the normal cells (P < 0.05). The compliance distributions of the various cell lines with their averages and SDs are shown in Fig. 3B, which illustrate the increased average compliance and a larger variance of the cancer cells compared with the normal cells.

Assessing malignancy and metastatic risk. The aim of this study was to evaluate the potential for compliance measurements of individual cells to assess oral lesions and to distinguish between normal keratinocytes and squamous cancer cells from the oral cavity. Our results show that both immortalized and primary cancer cells have an increased compliance with a broadened distribution compared with their normal counterparts, which seems independent of the site of origin within the oral cavity.

The increase in deformability is likely caused by a decrease in filamentous actin, which is reduced by 30% in cancerous keratinocytes compared with normal keratinocytes (4), a value that is similar to the difference between normal and cancerous fibroblasts (11). In addition, an altered nucleus to cell ratio and DNA ploidy status (12), leading to a reduced nuclear compliance (13), could in principle contribute to a reduced mechanical resistance of oral cancer cells but seems unlikely given the small strains encountered in the optical stretcher (cf. Fig. 1D) as discussed previously (14).

The reduced resistance to deformation of cancer cells compared with normal cells is consistent with previous results where researchers investigated bladder endothelial cells with atomic force microscopy (AFM; ref. 15), breast epithelial cells with μOS (11), and fibroblasts using micropipette aspiration (16), microplate manipulation (17), AFM (18), or μOS (11). This is, to our knowledge, the first validation of this recurring theme with primary cells from a solid tumor.

The benefits of a quantitative, cytopathologic approach to diagnosis have driven the search for molecular-based changes in cancer cells (19). However, no unequivocal molecular marker for early oral cancer detection has yet been identified (2, 19). Analyzing the global cell compliance combines many different possible molecular events, which renders it more robust. This quantitative tactile analysis of cytoskeletal mechanics transfers “clinical palpation” to the cellular level.

The difference in viscoelastic signature between cells from the tumor patients with metastases and the one without (Fig. 2B) can be understood by the physical necessity of the metastasizing cells to be motile and, thus, even softer than their nonmetastasizing counterparts. This finding confirms previous results on fibroblast cells (16), breast epithelial adenocarcinoma cells (11), and chondrosarcoma cells (20) measured with micropipette aspiration, μOS, and AFM, respectively. Once corroborated in future clinical trials, cell mechanical measurements might thus provide a means to assess the metastatic potential of primary tumors.

Multiclonality and dedifferentiation. Normal and cancer cells differ not only in their average compliance but also in the width of its distribution. The large variance in compliance values for cancer cells, both primary and cell lines, is distinct from the narrower distributions found for normal cells (Fig. 3). This is consistent with the progression of cancer leading to a multiclonal situation, where the degree of dedifferentiation varies within the tumor. This variance in dedifferentiation is also reflected in cytoskeletal structure and ultimately in the mechanical properties of the cells. A correlation between increasing dedifferentiation and an increase in both cell deformability and its variance has previously been reported for breast epithelial cancer cells (11).

Of note, if we follow this reasoning, the softest cells encountered should be the least differentiated and it might be sensible to search for possible cancer stem cells among the softest cells in a tumor. Because mechanical phenotyping exploits an inherent property of living cells, which remain intact for sorting, this provides the possibility to separate cells of interest (metastatic cells and cancer stem cells) based on their distinct mechanical properties and to establish cell lines for further analysis, identification of molecular markers, or specific drug development.

Possibility for targeted screening. One important aspect of our results is that the assessment of epithelial cells, and maybe even of the metastatic potential of primary tumors, can be inferred from measurements on very small sample sizes (<30 cells). Obtaining cells in a minimally invasive manner (e.g., by brush biopsy) in combination with mechanical phenotyping may enable the development of a simple screening method for oral cancer suitable for broad application. The μOS enables sufficiently high throughput rates and ease of handling so that technicians or dentists could perform these measurements on site. As a consequence, a broad screening of suspicious lesions may lead to earlier diagnosis, which could have significant positive effect on the mortality rate of oral cancer patients.

In summary, mechanical phenotyping using a μOS might be a sensible alternative for quantitative cytologic screening of small samples for an improved and early diagnosis of oral carcinomas and potentially other cancers.

J. Guck holds a patent on the optical stretcher technique and consults on its potential applications. The other authors declare no competing financial interests.

Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).

Grant support: R&D grant (SAB, Project 9889/1519) from the European Fund for Regional Development 2000-2006 and the state of Saxony, Germany (J. Guck).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

We thank Prof. Rheinwald for the provision of OKF cell lines; S. Teuber, H.A. Vogel, and S. Colbow for tumor samples; Elke Westphal and Jürgen Salvetter for help with cell culture; Stefan Schinkinger for technical help with the setup; Jens Grosche for illustrations; and Josef Käs for general support.

1
Greenlee RT, Murray T, Bolden S, Wingo PA. Cancer statistics, 2000.
CA Cancer J Clin
2000
;
50
:
7
–33.
2
Forastiere A, Koch W, Trotti A, Sidransky D. Head and neck cancer.
N Engl J Med
2001
;
345
:
1890
–900.
3
Ben-Ze'ev A. The cytoskeleton in cancer cells.
Biochim Biophys Acta
1985
;
780
:
197
–212.
4
Katsantonis J, Tosca A, Koukouritaki SB, Theodoropoulos PA, Gravanis A, Stournaras C. Differences in the G/total actin ratio and microfilament stability between normal and malignant human keratinocytes.
Cell Biochem Funct
1994
;
12
:
267
–74.
5
Guck J, Ananthakrishnan R, Mahmood H, Moon TJ, Cunningham CC, Kas J. The optical stretcher: a novel laser tool to micromanipulate cells.
Biophys J
2001
;
81
:
767
–84.
6
Lincoln B, Wottawah F, Schinkinger S, Ebert S, Guck J. High-throughput rheological measurements with an optical stretcher.
Methods Cell Biol
2007
;
83
:
397
–423.
7
Dickson MA, Hahn WC, Ino Y, et al. Human keratinocytes that express hTERT and also bypass a p16(INK4a)-enforced mechanism that limits life span become immortal yet retain normal growth and differentiation characteristics.
Mol Cell Biol
2000
;
20
:
1436
–47.
8
Kawamata H, Nakashiro K, Uchida D, Harada K, Yoshida H, Sato M. Possible contribution of active MMP2 to lymph-node metastasis and secreted cathepsin L to bone invasion of newly established human oral-squamous-cancer cell lines.
Int J Cancer
1997
;
70
:
120
–7.
9
Gioanni J, Fischel JL, Lambert JC, et al. Two new human tumor cell lines derived from squamous cell carcinomas of the tongue: establishment, characterization and response to cytotoxic treatment.
Eur J Cancer Clin Oncol
1988
;
24
:
1445
–55.
10
Wittekind C, Meyer HJ, Bootz F. TNM Klassifikation maligner Tumoren. Berlin: Springer; 2002.
11
Guck J, Schinkinger S, Lincoln B, et al. Optical deformability as an inherent cell marker for testing malignant transformation and metastatic competence.
Biophys J
2005
;
88
:
3689
–98.
12
Pektas ZO, Keskin A, Günhan O, Karslioğlu Y. Evaluation of nuclear morphometry and DNA ploidy status for detection of malignant and premalignant oral lesions: quantitative cytologic assessment and review of methods for cytomorphometric measurements.
J Oral Maxillofac Surg
2006
;
64
:
628
–35.
13
Pajerowski JD, Dahl KN, Zhong FL, Sammak PJ, Discher DE. Physical plasticity of the nucleus in stem cell differentiation.
Proc Natl Acad Sci U S A
2007
;
104
:
15619
–24.
14
Ananthakrishnan R, Guck J, Wottawah F, et al. Quantifying the contribution of actin networks to the elastic strength of fibroblasts.
J Theor Biol
2006
;
242
:
502
–16.
15
Lekka M, Laidler P, Gil D, Lekki J, Stachura Z, Hrynkiewicz AZ. Elasticity of normal and cancerous human bladder cells studied by scanning force microscopy.
Eur Biophys J
1999
;
28
:
312
–6.
16
Ward KA, Li WI, Zimmer S, Davis T. Viscoelastic properties of transformed cells: role in tumor cell progression and metastasis formation.
Biorheology
1991
;
28
:
301
–13.
17
Thoumine O, Ott A. Comparison of the mechanical properties of normal and transformed fibroblasts.
Biorheology
1997
;
34
:
309
–26.
18
Park S, Koch D, Cardenas R, Kas J, Shih CK. Cell motility and local viscoelasticity of fibroblasts.
Biophys J
2005
;
89
:
4330
–42.
19
Partridge M, Gaballah K, Huang X. Molecular markers for diagnosis and prognosis.
Cancer Metastasis Rev
2005
;
24
:
71
–85.
20
Darling EM, Zauscher S, Block JA, Guilak F. A thin-layer model for viscoelastic, stress-relaxation testing of cells using atomic force microscopy: do cell properties reflect metastatic potential?
Biophys J
2007
;
92
:
1784
–91.

Supplementary data