PREDICTING THE outcome of laryngeal cancer is of paramount importance for the physician to decide on the treatment modality. Despite the many investigations on cytologic and morphologic properties, currently there are no absolute criteria that can predict the outcome of laryngeal cancer and guide the physician to select the appropriate therapy and to decide on the extent of surgery and the convenience of neck dissection in patients with N0 tumors. One of the most important criteria that shows the aggressive biological behavior is the cellular proliferation rate of a tumor. Consequently, several proliferation markers have been studied for their relation with the recurrence and metastatic rate of the tumor and mortality.
Proliferating cell nuclear antigen (PCNA [cyclin]) is a 36-kd, nuclear, nonhistone protein that appears in the nucleus during the late G1 phase, increases during the S phase, and declines during the G2 and M phases.1 The main function of PCNA is in the regulation of DNA synthesis and cell proliferation as an auxiliary protein of DNA polymerase δ.1 This study was performed to assess the prognostic value of PCNA in laryngeal carcinoma and its relation with other known prognostic clinical and histopathologic variables.
Patients, materials, and methods
For this retrospective study, 100 patients were randomly chosen from 849 patients who underwent surgery for squamous cell carcinoma of the larynx at the Department of Otolaryngology, Head and Neck Surgery, Hacettepe University Medical Faculty, Ankara, Turkey, between 1964 and 1993. Eight patients whose paraffin blocks were missing were excluded from the study. The medical charts of the remaining 92 patients were examined. Sex, age, stage, operative procedure, and disease-free survival periods were recorded. Pathological examinations included conventional histopathologic studies and immunohistochemical identification of PCNA.
Conventional histopathologic examinations
For conventional histopathologic examination, 6-µm paraffin sections stained with hematoxylin and eosin were examined. Tumors were graded according to morphologic differentiation: grade 1 is well differentiated, grade 2 is moderately differentiated, and grade 3 is poorly differentiated or undifferentiated.2 Tumor margins were classified as α (pushing borders), β (pushing-infiltrative borders), and γ (infiltrative borders). Lymphovascular invasion was classified as positive or negative according to the presence or absence of tumor cells in lymphovascular spaces.
Immunohistochemical examinations
For immunohistochemical detection of PCNA, 6-µm-thick sections obtained from paraffin blocks were mounted on glass slides and incubated at 56°C overnight. A modification of the immunoglobulin enzyme bridge technique was used, as described previously.3 The slides were air-dried, deparaffinized, and dehydrated and rehydrated with phosphate-buffered saline solution. The slides were then incubated with methanol containing 0.3% hydrogen peroxide to block the endogenous peroxidase activity and treated with normal horse serum to block the nonspecific proteins. After washing with phosphate-buffered saline solution, the slides were incubated with monoclonal PCNA antibody against PC10 (DAKO, Glostrup, Denmark) for 60 minutes at room temperature. The slides were washed again with phosphate-buffered saline solution and finally stained with avidin-biotin peroxidase complex (Vectastain, Vector Laboratories, Burlingame, Calif) method. Appropriate positive and negative control tests were done.
Evaluation of immunohistochemical staining was performed by counting at least 1000 cells in at least 5 different regions of the tumor. In patients with cervical lymph node metastasis, the primary tumor and the metastatic node were evaluated separately. The ratio of cells stained for PCNA to the total number of cells was recorded as the proliferative index (PI) (Figure 1). The PI in primary tumors is called TPI and the PI in lymph node metastasis is called LPI.
Conventional histopathologic and immunohistochemical examinations were performed by the pathologist (A.A.) without knowing the clinical outcome of the patients.
Statistical analysis was performed with a computer program (Statistical Package for the Social Sciences, SPSS for Windows v 6.0, SPSS Inc, Chicago, Ill). The data obtained from this study were evaluated by nonparametric tests (Mann-Whitney U and Kruskal-Wallis), the Wilcoxon signed rank test, the Fisher exact test, the log-rank test, Cox regression analysis, and Kaplan-Meier survival analysis.
Of 92 patients, 85 (92%) were men and 7 (8%) were women. Their ages ranged from 31 to 75 years, and the mean (±SD) age was 52.9±9.1 years.
Tumor staging was done according to the criteria of the American Joint Committee on Cancer.4 Seven patients (8%) had stage I, 22 patients (24%) had stage II, 41 patients (45%) had stage III, and 22 patients (24%) had stage IV disease.
Six patients (7%) had glottic lesions, 15 patients (16%) had supraglottic lesions, and 71 patients (78%) had transglottic lesions.
According to their lesions, 69 patients (75%) had total laryngectomy, 20 patients (22%) had partial laryngectomy (horizontal supraglottic, vertical, or subtotal), and 3 patients (3%) had endolaryngeal excision. Excluding the 3 patients who had endolaryngeal excision, all patients had unilateral or bilateral modified radical or radical neck dissections.
Histopathologic examination revealed lymph node metastasis in 45 patients (49%). Seventeen patients (19%) died of local-regional recurrence, and 5 patients (5%) developed distant metastasis. Five patients were lost to follow-up. The other patients have at least 2 years' follow-up, with median follow-up of 118 months.
Conventional histopathologic examinations
Results of conventional histopathologic examination revealed that 27 patients (29%) had grade I, 39 patients (42%) had grade II, and 26 patients (28%) had grade III tumors.
Tumor margins were α in 29 patients (32%), β in 37 patients (40%), and γ in 24 patients (26%). Two patients had endolaryngeal strippings, so tumor margins and lymphovascular invasion could not be evaluated.
Lymphovascular invasion was positive in 61 patients (66%) and negative in 29 patients (32%).
Pcna immunohistochemical analyses
Results of PCNA immunohistochemical analysis revealed that TPI values ranged from 3.1 to 94.3 (median, 45.2) and LPI values ranged from 21.3 to 98.0 (median, 67.0).
Results of nonparametric tests (Kruskal-Wallis and Mann-Whitney U) revealed a significant correlation between TPI and the following variables:
Grade (χ2=32.4,
P=.0000; P<.05); the correlation was significant between grades I and II (z=−4.52, P=.0000; P<.05) and between grades I and III (z=−5.23 P=.0000; P<.05); no significant correlation was observed between grades II and III (z=−1.61, P=.11; P>.05).
Lymph node metastasis (z=−4.99, P=.0000; P<.05).
Lymphovascular invasion (z=−2.66, P=.007; P<.05).
Tumor margins (χ2=7.1, P=.03; P<.05); the correlation was significant between α and γ margins (z=−2.61, P=.009; P<.05); no significant correlation was observed between α and β (z=−1.03, P=.30; P>.05) and β and γ (z=−1.82, P=.07; P>.05) margins.
Local-regional recurrence (z=−3.41, P<.001; P<.05)
No correlation was found between TPI and stage (χ2=5.7, P=.13; P>.05) and distant metastasis (z=−1.65, P=.10; P>.05).
Tumor grade was correlated with lymph node metastasis (z=−4.22, P=.0000; P<.05) and lymphovascular invasion (z=−4.38, P=.0000; P<.05).
No correlation was observed between grade and other variables, namely, tumor margins (χ2=4.7, P=.19; P>.05), stage (χ2=4.5, P=.22; P>.05), local-regional recurrence (z=−1.83, P=.07; P>.05), and distant metastasis (z=−0.64, P=.53; P>.05).
Results of histopathologic examination of 50 patients with N0 tumors revealed that 32 patients (64%) had no cervical metastasis, whereas 18 patients (36%) had occult cervical metastasis. The TPI values of patients with occult metastasis were significantly higher than those of patients without metastasis (z = −3.68, P<.001; P<.05) (Table 1). When the analysis was performed using grade instead of TPI, no correlation was found (Fisher exact test, P=.15; P>.05).
The patients with N0 tumors were classified into 2 groups: those having TPI values less than the median TPI value (45.2) and those with TPI values of 45.2 or greater. The occult metastasis rate in the group with TPI less than 45.2 was 17.2%, whereas in the group with TPI of 45.2 or greater, this rate was 61.9%, and this difference was statistically significant (t=3.43, P=.006; P<.05) (Table 2).
When LPI values of 45 patients with cervical metastases were compared with TPI values of the same tumors, it was observed that LPI values were significantly higher than TPI values (Wilcoxon test, z=−3.74, P=.002; P<.05).
Univariate survival analysis using the log-rank test revealed that the factors affecting disease-free survival were TPI, cervical lymph node metastasis, grade, tumor margins, and N stage (Table 3).
Multivariate analysis was done by Cox regression analysis with forward selection. The factors affecting the disease-free survival independently were TPI (χ2=10.0, P=.002; P<.05) and cervical metastasis (χ2=7.9, P=.005; P<.05), with hazard ratios of 1.04 and 0.45 consecutively for 95% confidence interval. The other clinicopathologic factors that had prognostic significance in univariate analysis did not reveal statistical significance when entered into the multivariate model.
Kaplan-Meier survival analysis was done for TPI by stratifying the TPI score into those with PI values of 50 or less and those with PI values greater than 50. A statistically significant difference in survival was observed between the 2 groups (P<.05) (Figure 2).
The main factors affecting the prognosis of laryngeal carcinoma are cervical lymph node metastasis,5 grade,5-7 tumor margins,6,7 perineural7 and vascular8 invasion, depth of tumor,9 lymphoreticular infiltration, and tumor-associated tissue eosinophilia.10,11 However, these variables do not suffice for the prediction of prognosis in laryngeal carcinoma. This led us to focus mainly on proliferation markers that reflect the aggressive nature of tumors. The most widely used proliferation markers currently available are thymidine labeling index, bromodeoxyuridine labeling index, argyrophilic nucleolar organizer regions, Ki-67, DNA polymerase α, DNA flow cytometry, and PCNA.
Proliferating cell nuclear antigen expression has been studied in many human neoplasms. The PI has been shown to correlate with the prognosis in non-Hodgkin lymphoma12 in gastric,13 breast,14 ovarian,15 and pharyngeal16 cancers. The risk of regional lymph node metastasis was higher in patients with a high PI in transitional cell carcinoma of bladder17 and breast cancer.14 The PI also has been used to predict the response to radiotherapy and chemotherapy. Better responses to radiotherapy have been reported in patients with a high PI in cervix18 and larynx cancers.19 Tsuji et al20 observed that the mean PCNA score decreased significantly after cancer chemotherapy in oral cavity cancers and concluded that the response of cancer cells to anticancer agents may be estimated by consecutive measurement of PCNA because the PCNA score dropped after treatment in patients with a favorable prognosis.
Munck-Wikland et al,21 in a study of 38 patients, stated that the in situ laryngeal carcinomas that progressed into invasive cancer showed a clear tendency toward more pronounced DNA aberration, a higher percentage of intense PCNA staining, and more frequent p53 positivity. By combining the results of these analyses, the authors classified 82% of the lesions as progressors or nonprogressors. Welkoborsky et al22 found that the PCNA score was highly associated with prognosis, whereas no correlation was found between PCNA score and recurrent disease.
In the present study, significant correlations were found between TPI and grade, cervical metastasis, lymphovascular invasion, tumor margins, local-regional recurrence, and survival. Although grade was correlated with lymphovascular invasion, depth of tumor margins, and cervical metastasis, it has no value in predicting local-regional recurrence and survival. The TPI score seemed to be a good variable for predicting the occult cervical metastasis as well. The risk of occult cervical metastasis was 17.2% for patients with TPI values less than the median (45.2), whereas the risk increased to 61.9% for those with TPI values of 45.2 or greater.
During immunohistochemical analysis, it was observed that PCNA staining was heterogenous. This finding, which showed that there are groups of cells with different proliferation rates, also has been emphasized by Shin et al.23 The theory that cell groups with different proliferation rates may have different metastatic potentials (metastatic heterogenicity) has gained acceptance in recent years.24,25 According to this theory, the metastatic cells should have higher proliferation rates than the original tumor cells. When we compared LPI values with TPI values, we observed that LPI values are significantly higher than TPI values, thus supporting the metastatic heterogenicity theory.
One of the most important factors affecting prognosis in laryngeal cancer is local-regional recurrence. The TPI score seemed to be strongly correlated with local-regional recurrence. All 17 patients who developed recurrences had TPI values higher than the median (45.2). Multivariate analysis revealed that the only factors affecting survival independently are TPI and cervical metastasis. The role of grade, however, in predicting recurrence and survival was limited and unreliable.
Although there was a strong correlation between tumor grade and PCNA immunostaining, TPI seems to be a more sensitive variable in predicting tumor proliferation, occult lymph node metastasis, and prognosis. These results suggest that the PCNA index can be used in decision making for treating and assessing prognosis in laryngeal carcinomas.
Accepted for publication March 10, 1998.
Presented at the 4th International Conference on Head and Neck Cancer, Toronto, Ontario, July 31, 1996.
Corresponding author: Sarp Saraç, MD, Mesa Camyolu Sitesi C2B D:19, Konutkent 2, Ankara, Turkey (e-mail: ssarac@tr-net.net.tr).
2.Celis
JECelis
A Cell cycle–dependent variations in the distribution of the nuclear protein cyclin proliferating cell nuclear antigen in cultured cells: subdivision of S phase.
Proc Natl Acad Sci U S A. 1985;823262- 3266
Google ScholarCrossref 3.Ayhan
AYasui
WYokazaki
HKitada
YTahara
E Reduced expression of nm23 protein is associated with advanced tumor stage and distant metastasis in human colorectal carcinomas.
Virchows Arch B Cell Pathol. 1993;63213- 218
Google ScholarCrossref 4.American Joint Committee on Cancer, Manual for Staging Cancer. 4th ed. Philadelphia, Pa JB Lippincott1992;
6.Kashima
HK The characteristics of laryngeal cancer correlating with cervical lymph node metastasis. Alberti
PWBryce
DPeds.
Workshops From the Centennial Conference on Laryngeal Cancer. East Norwalk, Conn Appleton-Century-Crofts1976;855- 861
Google Scholar 7.McGavran
MHBauer
WCOgura
JH The incidence of cervical lymph node metastases from epidermoid carcinoma of the larynx and their relationship to certain characteristics of the primary tumor.
Cancer. 1961;1455- 66
Google ScholarCrossref 8.Poleksic
SKalwaic
HJ Prognostic value of vascular invasion in squamous cell carcinoma of the head and neck.
Plast Reconstr Surg. 1978;61234- 240
Google ScholarCrossref 9.Norris
CMTucker
GF
JrKuo
BFPitser
WF A correlation of clinical staging, pathological findings and five year end results in surgically treated cancer of the larynx.
Ann Otol Rhinol Laryngol. 1970;791033- 1048
Google Scholar 10.Thompson
ACBradley
PJGriffin
NR Tumor-associated tissue eosinophilia and long-term prognosis for carcinoma of the larynx.
Am J Surg. 1994;168469- 471
Google ScholarCrossref 11.Underwood
JCE Lymphoreticular infiltration in human tumors: prognostic and biologic implications.
Br J Cancer. 1974;30538- 548
Google ScholarCrossref 12.Klemi
PJAlanen
KJalkanen
SJoensuu
H Proliferating cell nuclear antigen (PCNA) as a prognostic factor in non-Hodgkin's lymphoma.
Br J Cancer. 1992;66739- 743
Google ScholarCrossref 13.Jain
SFilipe
MIHall
PALane
DPLevison
DA Prognostic value of proliferating cell nuclear antigen in gastric carcinoma.
J Clin Pathol. 1991;44655- 659
Google ScholarCrossref 14.Tahan
SRNeuberg
DSDieffenbach
AYacoub
L Prediction of early relapse and shortened survival in patients with breast cancer by proliferating cell nuclear antigen score.
Cancer. 1993;713552- 3559
Google ScholarCrossref 15.Hartmann
LCSebo
TJKamel
NA
et al. Proliferating cell nuclear antigen in epithelial ovarian cancer.
Gynecol Oncol. 1992;47191- 195
Google ScholarCrossref 16.Pich
AChiusa
LPisani
PKrengli
MPia
FNavone
R Argyrophilic nucleolar organizer region counts and proliferating cell nuclear antigen scores are two reliable indicators of survival in pharyngeal carcinoma.
J Cancer Res Clin Oncol. 1992;119106- 110
Google ScholarCrossref 17.Lipponen
PKEskelinen
MJ Cell proliferation of transitional cell bladder tumour determined by PCNA/cyclin immunostaining and its prognostic significance.
Br J Cancer. 1992;66171- 176
Google ScholarCrossref 18.Oka
KHoshi
TArai
T Prognostic significance of the PC10 index as a prospective assay for cervical cancer treated with radiation alone.
Cancer. 1992;701545- 1550
Google ScholarCrossref 19.Munck-Wikland
EFernberg
JOKuylenstierna
RLindholm
JAuer
G Proliferating cell nuclear antigen (PCNA) expression and nuclear DNA content in predicting recurrence after radiotherapy of early glottic cancer.
Eur J Cancer B Oral Oncol. 1993;29B75- 79
Google ScholarCrossref 20.Tsuji
TSasaki
KKimura
YYamada
KMori
MShinozaki
F Measurement of proliferating cell nuclear antigen (PCNA) and its clinical application in oral cancers.
Int J Oral Maxillofac Surg. 1992;21369- 372
Google ScholarCrossref 21.Munck-Wikland
EEdstrom
SJungmark
EKuylenstierna
RLindholm
JAuer
G Nuclear DNA content, proliferating cell nuclear antigen (PCNA) and p53 immunostaining in predicting progression of laryngeal cancer in situ lesions.
Int J Cancer. 1994;5695- 99
Google ScholarCrossref 22.Welkoborsky
HJHinni
MDienes
HPMann
WJ Predicting recurrence and survival in patients with laryngeal cancer by means of DNA cytometry, tumor front grading, and proliferation markers.
Ann Otol Rhinol Laryngol. 1995;104503- 510
Google Scholar 23.Shin
DMVoravud
NRo
JYLee
JSHong
WKHittelman
WN Sequential increases in proliferating cell nuclear antigen expression in head and neck tumorigenesis: a potential biomarker.
J Natl Cancer Inst. 1993;85971- 978
Google ScholarCrossref 24.Fidler
IJHart
IR Biologic diversity in metastatic neoplasms: origins and implications.
Science. 1982;217998- 1004
Google ScholarCrossref 25.Fidler
IJKripke
ML Metastatic results from pre-existing variant cells within a malignant tumor.
Science. 1977;197893- 898
Google ScholarCrossref