Abstract
Background/Aim: Histopathological and clinical scores to predict prognosis in cervical cancer have been of limited value. In the present study a tumor marker expression score was evaluated for prognostication in early-stage cervical cancer. Materials and Methods: The entire study population included 128 women with invasive squamous cell cervical cancer followed-up for at least 10 years. Results: Expression of 12 tumor markers (epidermal growth factor receptor (EGFR), Ki-67, c-MYC, p53, p27, E-cadherin, CD44, vascular endothelial growth factor receptor (VEGF), cyclooxygenase-2 (COX2), CD4, and leucine-rich immunoglobulin-like repeats-1 (LRIG1) and LRIG2, considered relevant for cervical cancer prognostication was evaluated by immunohistochemistry. Expression of five markers, LRIG1, LRIG2, p53, COX2 and c-MYC were useful to make a prognostication score, ranging from 0 to 5. Score 0-1 correlated to less than 5% 10-year mortality, while the mortality rate of those with score 4-5 approached 70%; those with score 2 formed an intermediate group. Using different models, a high sensitivity, specificity, positive predictive value and negative predictive value was attained. Conclusion: Tumor marker scoring could be an adjunct to histopathological and clinical parameters in prognostication of early-stage cervical cancer.
The treatment of cervical cancer includes radiotherapy, surgery and chemotherapy, sometimes in combination, depending on clinical stage, other clinical and histopathological variables, local traditions etc. In late stages, clinical stage III and IV, prognosis is poor, while in stage IB, IIA and IIB, i.e. localized cancer, survival is 70-90% (1). In these early stages, it would be a great advantage to identify women with a poor prognosis. All three treatment options above and their combinations are aggressive and associated with severe acute and chronic side-effects. For women with a very good prognosis, it would be very beneficial if unnecessary treatments could be avoided.
In prostate cancer, the Gleason score is established and is used to predict prognosis. This estimation is solely derived from histopathological variables (2). A large number of similar histopathological scores have been constructed for cervical cancer with different clinical stages included. Their success has been moderate or disappointing, and at present none of these scores are in general use (3-10).
Expression of a large number of tumor markers (biological markers) and their possible correlations to prognosis in cervical cancer has been investigated during the last decade. No single marker has proven reliable for prognostication. In a previous study, we attempted to investigate if combinations of expression of two tumor markers that we had found to significantly correlate to prognosis, but with unacceptable sensitivity and specificity when used alone, could improve prognostication. There were slight improvements, but these were still not clinically useful (11).
At present there is no cervical cancer score based on tumor marker expression. If such a score could be constructed, with acceptable sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), it would give the physician an adjunct to clinical and histopathological variables for treatment options. In particular, it would also be beneficial when the patient is treated with radiotherapy and factors such as lymphoglandular metastases are unknown. Thus, it could be an important aid in deciding when to choose aggressive treatment or life expectancy.
The aim of the present study was to construct a tumor marker score and evaluate its potential usefulness for prognostication in early-stage cervical cancer.
Tumor markers included in the study and their major functions.
Materials and Methods
The study population consisted of 128 women with invasive squamous cell cervical cancer stage IB to IV who were admitted to the Department of Gynecologic Oncology, Norrlands University Hospital, Umeå during 1984 to 1990. Among those, 75 cases were diagnosed as squamous epithelial cancer stage IB, IIA and IIB. Clinical staging was made according to FIGO classification (12). Thus, stage IB is defined as cancer that exceeds 5 mm depth or 7 mm wide; IIA as cancer spread beyond cervix to upper, but not lower, part of the vagina; and IIB as cancer spread to parametrial tissue next to the cervix. All women were followed-up for at least 10 years.
Three-micrometer sections of the original paraffin blocks were reviewed by one of the authors (TT) and the most representative areas were marked for tissue microarray (TMA). Three-millimeter punch biopsies were taken from the blocks corresponding to the marked area and joined into TMA paraffin blocks, containing 25 punch biopsies on average. Each TMA block also included two controls containing human tissue, as specified by the producer. The microscopic evaluation included the complete TMA.
Immunohistochemistry was performed at the Department of Pathology and Clinical Cytology, as described elsewhere (13). Twelve tumor markers, relevant in cervical cancer, were included, namely epidermal growth factor receptor (EGFR), Ki-67, c-MYC, p53, p27, E-cadherin, CD44, vascular endothelial growth factor receptor (VEGF), cyclooxygenase-2 (COX2), CD4, and leucine-rich immunoglobulin-like repeats 1 (LRIG1) and LRIG2 (Table I).
In brief, 3-μm thick sections from the TMA blocks were cut and rehydrated. Immunohistochemical staining was carried out with a Dako Autostainer (Dakopatts, Stocholm Sweden) which uses biotinylated secondary goat anti-mouse antibody for the detection system and streptavidin-horseradish peroxidase conjugate for visualization of diaminobenzidine (DAB) solution. The slides were weakly counter-stained with hematoxylin and were mounted routinely. All antibody stainings were evaluated by an external senior pathologist (AL; see Acknowledgements), who was blinded to the clinical details. Absence or presence of tumor marker expression was used as the discrimating level both in the univariate and multivariate analyses, and for the final score. Correlations between 10 year survival and tumor marker expression were analyzed with logistic regression to estimate odds ratios 95% confidence intervals and p-values. Based on these results, a score was constructed and evaluated for sensitivity, specificity, PPV and NPV to discriminate between favorable and poor prognosis. The study was approved by the Research Ethical Committee, Medical Faculty, Umeå University (04-085).
Expression of tumor markers in squamous cell cervical cancer in clinical stage IB (n=46), IIA (n=14) and IIB (n=15).
Results
The women were on average 57.7 years of age, 64% of them were post-menopausal and 50% active smokers. Eighty-seven percent had experienced childbirth, with a mean parity of 2.7 and 3.0 pregnancies.
Stepwise exclusion upwards, from lowest odds ratios to highest, revealed five tumor markers for final inclusion in a prognostication score: LRIG1, LRIG2, p53, COX2 and c-MYC, correlated to 10-year survival. Expression of each tumor marker (any) in the different clinical stages was, with few exceptions, similar (Table II). Overall mortality was 28% and did not significantly differ between stages. The impact on prognosis of single-tumor markers, independent of other markers is given in Table III.
Ten-year mortality in squamous cell cancer stage IB-IIB by expression of tumor markers with prognostic implications in multivariate analyses.
Tumor marker expression was scored 0 or 1, where 1 indicated a poor prognosis. Expression of LRIG2, COX2 and c-MYC, and a lack of LRIG1 and p-53 expression correlated to poor prognosis. A prognostication score was constructed by adding the expression score of each tumor marker, giving a minimum score of 0 and maximum of 5. There was no case with score 5. Overall mortality was 28%, while 10-year mortality was 0% for patients with score 0 and 80% for these with score 4 (Table IV).
There was a marked border for survival versus mortality between score 2 and 3. Comparisons between patients grouped with score 0-2 and 3-4 revealed a sensitivity for predicting mortality of 71.4%, specificity of 85.2%, PPV of 65.2% and NPV of 88.5%.
Another model would be to estimate low-risk (score 0-1), intermediate-(score 2) and high-risk (score 3-4) groups. Mortality rates in the three such groups were 3.7%, 20.0% and 65.2%, respectively. As the overall mortality rate was 28.0%, the high-risk group had a very high, and the low-risk group an extremely low, mortality rate.
The difference in mortality rate between those with score 0-1 versus those with score 2 was close to significant (p=0.057), and between these with score 2 versus those with score 3-4 was highly significant (p=0.001). For those with score 2, the mortality rate was only slightly lower than the average of the entire study population. According to these results, it is likely that aggressive treatment or men with score 2 would mainly rely on clinical and histopathological data. Therefore, score 0-1 versus 3-4 were compared (p=0.0001). The sensitivity and NPV at 93.8% and 96.2%, respectively, were high; specificity and PPV were 76.5% and 65.2%, respectively.
Discussion
A score using tumor marker expression for prognostication in cervical cancer has not been previously assessed. The score presented here shows a strong correlation to 10-year mortality in early-stage cervical cancer. The score is, however, not solely intended to direct treatment, but to serve as an adjunct to clinical and histopathological findings. Such a score will aid in identifying women with early-stage cancer who would benefit from aggressive treatment, i.e. combined treatments, and those who would probably not. A score for late-stage cancer might be of less interest, as these patients have a very poor prognosis and will receive aggressive therapy.
Early-stage cervical cancer mortality by score.
Sensitivity, specificity, PPV and NPV give information on whether the score is clinically-useful. Thus, the high specificity and NPV when scores 0-2 and 3-4 were compared is satisfactory as women with good prognosis will not have unnecessary aggressive treatment. The sensitivity and PPV were lower and suggest that a low score could also be associated with mortality and that in fact a minority of these women would benefit from aggressive treatment. We believe, however, that sensitivity and PPV are acceptable, as the score should be used as an adjunct to clinical prognostic factors, such as specified growth, age, positive lymph nodes and general condition of the patient. Taken together, these factors may define the large majority of women with poor prognosis despite low scores.
There is a basis for excluding women with score 2, as their mortality is close to the overall mortality. Hence, when score 0-1 and 3-4 were compared, estimations gave a very high sensitivity that would leave few women with a poor prognosis not treated aggressively. The NPV was similarly high, i.e. a low score will also reflect a favorable prognosis. Specificity was, however, slightly lower, compared to comparisons of score 0-2 vs. 3-4. Exclusion of the intermediate score seems to be the most attractive model, but should be evaluated in further studies.
The selection of tumor markers in this study serves as a model. Different local traditions, study populations, laboratories, clones and antibodies will influence tumor marker expression. An optimal prognostication score might include our investigated, and other, tumor markers. The tumor markers included here are all biologically-plausible for prognostication and have previously been investigated as single prognostic markers. In the present study, we were able to use our experience from three previous studies to construct a score from five tumor markers that turned out to be clinically useful.
We previously presented the crude correlations with prognosis for 10 out of the 12 tumor markers included in the present study (13). p53, c-MYC, COX2 and CD4 expression appeared promising, and have been widely studied for prognosis in cervical cancer (14-18). In our previous studies, all cancer stages were included, although adjustment for stage was made in multivariate analysis. Models with combinations of tumor marker expression improved prognostication, but were in general clinically unsatisfactory. Subsequently, we were able to evaluate the novel protein LRIG1, and finally LRIG2. In early-stage, but not late-stage cancer LRIG1 expression appeared to correlate to favorable (13), and LRIG2 expression to poor, prognosis (19).
c-MYC is one of the ‘classic’ oncogenes, and its translocation in Burkitt's lymphoma was first shown in 1982 (20). The functions of c-MYC products are still not completely understood as they bind to hundreds of potential target genes. It is however evident that c-MYC expression contributes to increased proliferation and loss of differentiation in cancer (21). Previous studies have concluded that c-MYC expression is increased and is involved in cervical cancer (17, 18). In our model, c-MYC expression did not significantly correlate to a poor prognosis, but the p-value was borderline, and its inclusion was useful.
p53 is a major tumor suppressor and its expression has been studied in a majority of solid cancer types. p53 induces cell-cycle arrest at the G1 and G2 checkpoints prior to DNA replication, allowing repair of damaged DNA, but also induction of apoptosis, thereby hampering development of cancer cells (22). In cervical cancer, the human papillomavirus oncogene E6 is able to promote p53 degradation (23). In contrast, in most cancer types, inactive mutant p53 is found. Results of evaluating mutant p53 in cervical cancer have, therefore, been confusing. In the present study, expression of active wild-type p53 was evaluated (16).
COX2 was included in the study because of its correlation to inflammatory response. COX2 is involved in a number of negative events in cancer, such as angiogenesis and reduced apoptosis (9). COX2 expression has been correlated to poor prognosis in many previous studies on cervical cancer (24).
The LRIG1 gene is located on chromosome 3p14.3. This region is frequently deleted in cancer. In addition to our study, a correlation with a good prognosis in skin cancer has been reported. LRIG1 has also been shown to be an important determinant of cancer growth and good prognosis in prostate cancer (10), brain tumors (25) and in mediating receptor degradation in breast cancer (26). LRIG1, thus, has a role as a tumor suppressor in a variety of solid, epithelial cancer types (11, 13).
Expression of another member of the LRIG family, LRIG2, in contrast, was recently reported to be strongly associated with glioma risk (27) and poor prognosis in oligodendroglioma (25, 28), as well as in our study with early-stage cervical cancer (19).
All previous scoring models have, with one exception (8), included lymph node metastasis. This necessitates surgery, either explorative, or as treatment. Radiotherapy and radical hysterectomy are both major treatment options for early-stage cancer. When radiotherapy is the treatment of choice, and surgical exploration is not routinely performed, these histopathological scores are thus not useful (4, 5, 7, 9, 10, 29-31). In addition to lymph node status, factors such as tumor size, histopathological type, depth of invasion, lymph vascular invasion, parametrial extension and radical surgical margins have been evaluated. All studies reported that their score correlated to survival. In no study, however, were the sensitivity, specificity, PPV and NPV estimated. Statistical analyses were restricted to p-values, risk ratios and Kaplan–Meier curves, which is why it is difficult to evaluate their clinical usefulness.
The present study has presented a novel prognostication score, aimed as an adjunct to clinical and histopathological parameters in choosing treatment of early-stage squamous carcinoma of the uterine cervix. This score is assessable on limited biopsy material before any treatment, whether radiotherapy, surgery or adjunct chemotherapy, and with adequate sensitivity, specificity, PPV and NPV may valuably support decision-making to avoid unnecessary aggressive treatment in women with a favorable prognosis, and to identify women with a poor prognosis requiring for more aggressive therapy.
Acknowledgements
We express our thanks to Håkan Hedman for organizing LRIG staining, Anders Lindgren for expertise in tumor marker expression, Anna Asplund of the Human Proteome Resources project, and Annika Lindström for their contributions to previous studies.
Footnotes
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Conflicts of Interest
There are no conflicts of interest.
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Support
Cancer Research Foundation in Northern Sweden.
- Received November 19, 2013.
- Revision received January 3, 2014.
- Accepted January 7, 2014.
- Copyright© 2014 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved