DNA ploidy in curettage specimens identifies high-risk patients and lymph node metastasis in endometrial cancer.

BACKGROUND: Preoperative risk stratification is essential in tailoring endometrial cancer treatment, and biomarkers predicting lymph node metastasis and aggressive disease are aspired in clinical practice. DNA ploidy assessment in hysterectomy specimens is a well-established prognostic marker. DNA ploidy assessment in preoperative curettage specimens is less studied, and in particular in relation to the occurrence of lymph node metastasis. METHODS: Curettage image cytometry DNA ploidy in relation to established clinicopathological variables and outcome was investigated in 785 endometrial carcinoma patients prospectively included in the MoMaTEC multicentre trial. RESULTS: Diploid curettage status was found in 72.0%, whereas 28.0% were non-diploid. Non-diploid status significantly correlated with traditional aggressive postoperative clinicopathological features, and was an independent predictor of lymph node metastasis among FIGO stage I-III patients in multivariate analysis (OR 1.94, P=0.033). Non-diploid status was related to shorter disease-specific survival (5-year DSS of 74.4% vs 88.8% for diploid curettage, P<0.001). When stratifying by FIGO stage and lymph node status, the prognostic effect remained. However, in multivariate regression analysis, preoperative histological risk classification was a stronger predictor of DSS than DNA ploidy. CONCLUSIONS: Non-diploid curettage is significantly associated with aggressive clinicopathological phenotype, lymph node metastasis, and poor survival in endometrial cancer. The prognostic effect was also observed among subgroups with (presumably) less aggressive traits, such as low FIGO stage and negative lymph node status. Our results indicate curettage DNA ploidy as a possible supplement to existing parameters used to tailor surgical treatment.

The prognostic value of DNA ploidy in a total population of uterine sarcomas.

BACKGROUND: The diagnosis of uterine sarcoma is associated with poor outcome for the patient and there is a need for reliable prognostic markers. Most previous studies on the prognostic value of DNA ploidy include few uterine sarcomas and report conflicting results. MATERIALS AND METHODS: We examined the prognostic value of DNA ploidy and its association with clinicopathological parameters and crude survival in a total population of 354 sarcoma. RESULTS: In univariate analyses, we observed significantly better crude survival for endometrial stromal sarcomas (ESS) and adenosarcoma (AS) patients with diploid as compared with nondiploid tumors, but not for patients with leiomyosarcomas (LMS). In Cox multivariate analyses, DNA ploidy was the only significant predictor of survival for patients with AS. In LMS, mitotic index (MI), tumor size, tumor extent and tumor margins, whereas for ESS, MI, tumor extent and tumor necrosis obtained independent significance of survival. DNA ploidy was a significant predictor of survival for LMS patients in Cox regression analyses when excluding MI. CONCLUSION: DNA ploidy might be useful as a prognostic marker in patients with LMS and AS.

Non-steroidal anti-inflammatory drugs and the risk of oral cancer: a nested case-control study.

BACKGROUND: Non-steroidal anti-inflammatory drugs (NSAIDs) seem to prevent several types of cancer, but could increase the risk of cardiovascular complications. We investigated whether use of NSAIDs was associated with a change in the incidence of oral cancer or overall or cardiovascular mortality. METHODS: We undertook a nested case-control study to analyse data from a population-based database (Cohort of Norway; CONOR), which consisted of prospectively obtained health data from all regions of Norway. People with oral cancer were identified from the 9241 individuals in CONOR who were at increased risk of oral cancer because of heavy smoking (15 pack-years), and matched controls were selected from the remaining heavy smokers (who did not have cancer). FINDINGS: We identified and analysed 454 (5%) people with oral cancer (279 men, 175 women, mean [SD] age at diagnosis 63.3 [13.2] years) and 454 matched controls (n=908); 263 (29%) had used NSAIDs, 83 (9%) had used paracetamol (for a minimum of 6 months), and 562 (62%) had used neither drug. NSAID use (but not paracetamol use) was associated with a reduced risk of oral cancer (including in active smokers; hazard ratio 0.47, 95% CI 0.37-0.60, p<0.0001). Smoking cessation also lowered the risk of oral cancer (0.41, 0.32-0.52, p<0.0001). Additionally, long-term use of NSAIDs (but not paracetamol) was associated with an increased risk of cardiovascular-disease-related death (2.06, 1.34-3.18, p=0.001). NSAID use did not significantly reduce overall mortality (p=0.17). INTERPRETATION: Long-term use of NSAIDs is associated with a reduced incidence of oral cancer (including in active smokers), but also with an increased risk of death due to cardiovascular disease. These findings highlight the need for a careful risk-benefit analysis when the long-term use of NSAIDs is considered.

Large-scale genomic instability predicts long-term outcome for women with invasive stage I ovarian cancer.

BACKGROUND: The objective was to evaluate the value of DNA ploidy using high-resolution image cytometry in predicting long-term survival of patients with early ovarian cancer. PATIENTS AND METHODS: A retrospective analysis of 284 cases with FIGO stage I ovarian carcinoma treated during the period 1982-1989 was performed. Clinical follow-up information was available for all patients. RESULTS: Patients with diploid and tetraploid tumors had a 10-year relapse-free survival of 95% and 89%, respectively, compared with 70% and 29% for polyploid and aneuploid tumors, respectively. DNA ploidy analysis was the strongest predictor of survival in multivariate analysis (diploid/tetraploid versus polyploid/aneuploid; relative hazard 9.0) followed by histological grade, including clear cell tumors in the group of poorly differentiated tumors (grade 1-2 versus grade 3 or clear cell; relative hazard 2.7), and FIGO stage (Ib/Ic versus Ia; relative hazard 2.0). In a stratified Kaplan-Meier analysis, patients with grade 1-2, diploid or tetraploid tumors had a 10-year relapse-free survival of 95%, forming a low-risk group. Patients with grade 3 or clear cell, diploid or tetraploid tumors had 10-year relapse-free survival of 86%, forming an intermediate-risk group, while all patients with aneuploid/polyploid tumors formed a high-risk group, with 10-year relapse-free survival of 34%. CONCLUSIONS: This study points to the importance of including DNA ploidy analysis by image cytometry when selecting patients with early ovarian cancer for adjuvant treatment after surgery.

Abnormal DNA content predicts the occurrence of carcinomas in non-dysplastic oral white patches.

The majority of oral squamous cell carcinomas (OSCCs) are preceded by visible changes in the oral mucosa, most often white patches. Although the histological finding of dysplasia in oral white patches signals increased risk of developing OSCC, this may also occur in non-dysplastic lesions. However, no reliable markers exist to predict the occurrence of OSCC in these patients. From a total of 263 patients diagnosed with oral white patches, biopsies from 45 patients were selected on the criteria that the patients had lesions histologically proven to be non-dysplastic. The lesions were analyzed with respect to their DNA content. The clinical outcome of the patients was known from the Cancer Registry of Norway, and these data were compared to the DNA content of their lesions. Among the 45 patients, five cases (11%) later developed an OSCC. Four of the cases that subsequently developed an OSCC were among the five aneuploid (abnormal) cases (P=0.001). One aneuploid lesion did not develop a carcinoma during a follow-up time of 120 months. The fifth case that subsequently developed an OSCC was diploid (normal), and developed into an OSCC after an observation time of 73 months (P=0.001). In conclusion, aberrant DNA content reliably predicts the occurrence of OSCC in patients that otherwise would be regarded as at very low risk. Normal DNA content indicates low risk.

Comparison of histological grading and large-scale genomic status (DNA ploidy) as prognostic tools in oral dysplasia.

Approximately one in ten oral white patches (leukoplakia) are histologically classified as dysplasia, with a well-documented potential for developing into oral squamous cell carcinoma (OSCC). Histological grading in oral dysplasia has limited prognostic value, whereas large-scale genomic status (DNA ploidy, nuclear DNA content) is an early marker of malignant transformation in several tissues. Biopsies from 196 patients with oral leukoplakia histologically typed as dysplasia were investigated. Inter-observer agreement among four experienced pathologists performing a simplified grading was assessed by Cohen's kappa values. For 150 of the 196 cases, it was also possible to assess large-scale genomic status and compare its prognostic impact with that of histological grading. Disease-free survival was estimated by life-table methods, with a mean follow-up time of 103 months (range 4-165 months). The primary considered end-point was the subsequent occurrence of OSCC. For grading of the total of 196 cases, kappa values ranged from 0.17 to 0.33 when three grading groups (mild, moderate, and severe dysplasia) were considered, and from 0.21 to 0.32 when two groups (low grade and high grade) were considered (p=0.41). For the 150 cases in which large-scale genomic status was also assessed, kappa values for the histological grading ranged from 0.21 to 0.33 for three grading groups and from 0.27 to 0.34 for two grading groups (p=0.47). In survival analysis, histological grading was without significant prognostic value for any of the four observers (p 0.14-0.44), in contrast to DNA ploidy (p=0.001). It is concluded that DNA ploidy in oral dysplasia has a practical prognostic value, unlike histological grading of the same lesions.

DNA content as a prognostic marker in patients with oral leukoplakia.

BACKGROUND: Oral leukoplakia may develop into squamous-cell carcinoma, which has a poor prognosis. Risk factors for oral carcinoma have been identified, but there are no reliable predictors of the outcome in individual patients with oral leukoplakia. METHODS: We identified 150 patients with oral leukoplakia that was classified as epithelial dysplasia and measured the nuclear DNA content (ploidy) of the lesions to determine whether DNA ploidy could be used to predict the clinical outcome. Biopsy specimens obtained at annual follow-up visits were graded histologically and classified with respect to DNA content in a blinded fashion. Disease-free survival was assessed in relation to DNA ploidy and the histologic grade. The mean duration of follow-up was 103 months (range, 4 to 165). RESULTS: Among 150 patients with verified epithelial dysplasia, a carcinoma developed in 36 (24 percent). Of the 150 patients, 105 (70 percent) had diploid (normal) lesions, 20 (13 percent) had tetraploid (intermediate) lesions, and 25 (17 percent) had aneuploid (abnormal) lesions at the time of the initial diagnosis. A carcinoma developed in 3 of the 105 patients with diploid lesions (3 percent), as compared with 21 of the 25 patients with aneuploid lesions (84 percent), yielding a negative predictive value of 97 percent with respect to the diploid lesions and a positive predictive value of 84 percent with respect to the aneuploid lesions. Carcinoma developed in 12 of 20 patients with tetraploid lesions (60 percent). The mean time from the initial assessment of the DNA content to the development of a carcinoma was 35 months (range, 4 to 57) in the group with aneuploid lesions and 49 months (range, 8 to 78) in the group with tetraploid lesions (P=0.02). The cumulative disease-free survival rate was 97 percent among the group with diploid lesions, 40 percent among the group with tetraploid lesions, and 16 percent among the group with aneuploid lesions (P<0.001). CONCLUSIONS: The DNA content in cells of oral leukoplakia can be used to predict the risk of oral carcinoma.

Prognostic classification of early ovarian cancer based on very low dimensionality adaptive texture feature vectors from cell nuclei from monolayers and histological sections.

In order to study the prognostic value of quantifying the chromatin structure of cell nuclei from patients with early ovarian cancer, low dimensionality adaptive fractal and Gray Level Cooccurrence Matrix texture feature vectors were extracted from nuclei images of monolayers and histological sections. Each light microscopy nucleus image was divided into a peripheral and a central part, representing 30% and 70% of the total area of the nucleus, respectively. Textural features were then extracted from the peripheral and central parts of the nuclei images.The adaptive feature extraction was based on Class Difference Matrices and Class Distance Matrices. These matrices were useful to illustrate the difference in chromatin texture between the good and bad prognosis classes of ovarian samples. Class Difference and Distance Matrices also clearly illustrated the difference in texture between the peripheral and central parts of cell nuclei. Both when working with nuclei images from monolayers and from histological sections it seems useful to extract separate features from the peripheral and central parts of the nuclei images.

[Digital image analysis in pathology--exemplified in prostatic cancer]. / Digital bildebehandling i patologifaget--eksemplifisert ved cancer prostatae.

Digital image analysis is increasingly used in medicine. This paper reviews image analysis methods currently used in pathology. To exemplify established and future use of these methods, we present our own research and available literature on prostate cancer. DNA ploidy examinations mean measuring nuclear DNA content. A review of available literature shows that DNA ploidy is a very good prognostic marker in early and localized prostate cancer. Nevertheless, request for such examinations is sparse, in contrast to what is the case for gynecological cancers. In addition to assessing nuclear DNA content, we have today the means of quantitatively assessing the chromatin organisation. Such nucleotyping and texture analysis of chromatin has been shown to give significant diagnostic and prognostic information both in localized and advanced prostate cancer. DNA ploidy and nucleotyping are methods that analyze features of single cells. New methods for describing tissue architecture in an objective and reproducible way have been developed in our department. Preliminary results demonstrate the ability of these methods to discriminate between groups of prostate cancer patients with good or poor diagnosis. Digital techniques in combination with new methods from molecular biology have a potential for reducing workload, with parallel assessment of a large number of markers on large populations. The combination of traditional, molecular and digital pathology already offers the possibility of improved diagnostic and prognostic activity. However, there is the challenge of actually employing these methods. DNA ploidy for localized prostate cancer is only one example of a reliable prognostic marker that is not used to its full potential.