An automated quantitative DNA image cytometry system detects abnormal cells in cervical cytology with high sensitivity

Role of DNA ploidy in diagnosis and prognosis of high-grade cervical intraepithelial neoplasia: A prospective cohort study

OBJECTIVE

To compare the sensitivity and specificity of DNA ploidy with cytology, human papillomavirus (HPV) testing and colposcopy in diagnosis of high-grade cervical intraepithelial neoplasia (CIN) and to assess the role of aneuploidy in cervical lesions with the worst prognosis. A prospective observational cohort study was conducted on 254 women with altered colpocytology.

METHODS

Colposcopy, biopsy, DNA-ICM and HPV examinations were applied to cervical cytological and histological samples. Participants were evaluated every 6 months and divided into two groups: 'Harm' and 'No-harm'. Logistic regression and multivariate COX model were used to identify independent risk factors for diagnosis and prognosis of high-grade CIN, and ROC curve to assess the sensitivity and specificity of methods.

RESULTS

Variables 'age greater than or equal to 30 years', 'lesion size greater than 20%', 'aneuploidy' and 'HPV 16' were associated with diagnosis of high-grade CIN and 'aneuploidy' and 'women living with HIV', with a worse prognosis. Agreement for colposcopy was good, with a sensitivity of 79.3% and specificity of 94.4%; DNA-ICM and cytology were moderate, with sensitivity of 74.6% and 72.3% and specificity of 85.3% and 76.1%, respectively. High-risk HPV and HPV 16 tests were weak, with sensitivity of 75.0% and 43.75% and specificity of 50.0% and 88.64%, respectively.

CONCLUSIONS

In relation to high-grade CIN diagnosis, DNA-ICM presented similar sensitivity and specificity to cytology and high-risk HPV test when associated with HPV 16. Regarding prognosis, this research certifies that aneuploidy is considered a predictor of more severe cervical injury.

DNA Karyometry for Automated Detection of Cancer Cells

Background: Microscopical screening of cytological samples for the presence of cancer cells at high throughput with sufficient diagnostic accuracy requires highly specialized personnel which is not available in most countries. Methods: Using commercially available automated microscope-based screeners (MotiCyte and EasyScan), software was developed which is able to classify Feulgen-stained nuclei into eight diagnostically relevant types, using supervised machine learning. the nuclei belonging to normal cells were used for internal calibration of the nuclear DNA content while nuclei belonging to those suspicious of being malignant were specifically identified. The percentage of morphologically abnormal nuclei was used to identify samples suspected of malignancy, and the proof of DNA-aneuploidy was used to definitely determine the state malignancy. A blinded study was performed using oral smears from 92 patients with Fanconi anemia, revealing oral leukoplakias or erythroplakias. In an earlier study, we compared diagnostic accuracies on 121 serous effusion specimens. In addition, using a blinded study employing 80 patients with prostate cancer who were under active surveillance, we aimed to identify those whose cancers would not advance within 4 years. Results: Applying a threshold of the presence of >4% of morphologically abnormal nuclei from oral squamous cells and DNA single-cell or stemline aneuploidy to identify samples suspected of malignancy, an overall diagnostic accuracy of 91.3% was found as compared with 75.0% accuracy determined by conventional subjective cytological assessment using the same slides. Accuracy of automated screening effusions was 84.3% as compared to 95.9% of conventional cytology. No prostate cancer patients under active surveillance, revealing DNA-grade 1, showed progress of their disease within 4.1 years. Conclusions: An automated microscope-based screener was developed which is able to identify malignant cells in different types of human specimens with a diagnostic accuracy comparable with subjective cytological assessment. Early prostate cancers which do not progress despite applying any therapy could be identified using this automated approach.

Cold Atmospheric Pressure Plasma Is Effective against P. gingivalis (HW24D-1) Mature Biofilms and Non-Genotoxic to Oral Cells

The effects of helium cold atmospheric pressure plasma (He-CAPP) jet on Porphyromonas gingivalis (HW24D-1) biofilm, on human gingival fibroblasts (HGF) and human gingival keratinocytes (OBA-9) were assessed. Standardized suspension of P. gingivalis was obtained, and biofilms were grown anaerobically for 48 h. After exposition to He-CAPP, the biofilm viability was evaluated by XTT assay. HGF were grown at 37 °C, in an CO2 chamber in DMEM, while OBA-9 cells were cultured in keratinocyte serum-free medium. After 24 h, plates were exposed to He-CAPP for 1 to 7 min. Plasma was generated using a commercial AC power supply with amplitude modulated signal (voltage amplitude of 20 kVp-p, frequency of 31.0 kHz and duty cycle of 22%). The corresponding discharge power was 0.6W at He flow rate of 1 L/min. DNA damage was accessed by static cytometry. Data were analyzed by GraphPad Prism (p < 0.05). Significant reductions in P. gingivalis viability in relation to non-treated groups were detected (p < 0.0001), directly proportional to exposure time. Treated groups were slightly aneuploid after 5- and 7-min treatment in HGF, and for 3 min in OBA-9 cells, with 1.2 DNA index mean. Helium cold atmospheric pressure plasma jet showed inhibitory effect on P. gingivalis mature biofilm and was not genotoxic for epithelial gingival cells and human oral fibroblasts.

DNA image cytometry parameters to identify high-grade cervical lesions

OBJECTIVE

Evaluate the performance of different DNA image cytometry (DNA-ICM) ploidy parameters to categorize a DNA-ICM result, and consequently identify high-grade cervical intraepithelial neoplasia or worse (≥CIN2).

METHODS

Cervical samples from 232 women were collected for DNA-ICM analysis and biopsy confirmation. Five DNA parameters were used to define DNA aneuploidy: number of cells with exceeding events (EE) over 2.5cEE, 4cEE, 5cEE, 9cEE, and aneuploid stemlines. DNA-ICM results were categorized as normal, suspicious, and abnormal.

RESULTS

For individual DNA ploidy parameters, sensitivity for 50 cells with 2.5cEE, 45 cells with 4cEE, 1 cell with 9cEE and aneuploid stemline were 72.95%. 54.1%, 69.67% and 54.1%, while specificity were 80.0%, 90.0%, 89.09% and 95.45%, respectively. For 5cEE parameter, sensitivity for 1, 2, 3, 4 and 5 cells were 93.44%, 85.25%, 81.97%, 77.87% and 75.41%, while specificity were 46.36%, 63.64%, 74.55%, 76.36% and 80.91%, respectively. For categorized DNA-ICM results, a suspicious result revealed superior sensitivity to an abnormal result (87.70% vs 82.79%, P = 0.031), but inferior specificity (54.55% vs 75.45%, P <0.001). Both DNA-ICM results were statistically different from a normal result (P <0.05).

CONCLUSION

For prognostic purposes 1 cell with 9cEE, 45 cells with 4cEE and aneuploid stemline are the best parameters to categorize an abnormal DNA-ICM result, followed by 50 cells with 2.5cEE and 4 cells with 5cEE. For screening purposes, 10 cells with 2.5cEE, 10 cells with 4cEE, and 2 cells with 5cEE are suitable parameters to categorize a suspicious DNA-ICM result.

Aneuploidy detection for diagnostic and prognostic use in premalignant and malignant lesions of the uterine cervix: A systematic review

OBJECTIVE

To systematically review the role of aneuploidy detection alone or in combination with other methods in cervical cancer screening and to evaluate the value of aneuploidy to predict the behavior of premalignant cervical lesions.

METHOD

We conducted a systematic review based on an electronic search for articles published between 2001 and 2020 across databases including MEDLINE/PubMed, Scopus, and Web of Science. Studies were subjected to data extraction, risk of bias, and narrative synthesis.

RESULTS

A total of 15 articles were included in the review. Eight out of 15 studies (53.3%) were judged to be at a high or unclear risk of bias. From the 15 included studies, the index test to detect aneuploidy was DNA image cytometry (DNA-ICM) in 12 studies and DNA flow cytometry (DNA-FCM) in three studies. Nine studies also evaluated the performance of cytology and/or human papillomavirus (HPV) tests. For DNA-ICM, sensitivity to detect cervical intraepithelial neoplasia or worse (CIN2+) varied between 59.0% and 95.9% and specificity varied between 54.1% and 100%. For DNA-FCM, sensitivity varied between 27.3% to 96.8% and specificity was 100%. For cytological evaluation, sensitivity varied between 25.0% and 70.4% and specificity varied between 70.6% and 99.9%. For HPV detection, sensitivity varied between 39.4% and 100% and specificity varied between 23.3% and 84.3%.

CONCLUSION

DNA ploidy along with atypical cells findings in cytology and/or HPV detection revealed great value to detect CIN2+ lesions and to predict which lesions are more likely to progress to cervical cancer.

A Comparative Study of Liquid-Based Cytology and DNA Image Cytometry in the Diagnosis of Serous Effusion

Background:

Liquid-based cytology is one of the most useful methods to diagnose a patient with serous effusion, especially when malignancy is suspected. As an alternative to the use of liquid-based cytology only, the serous effusion can be further processed using the technique of DNA image cytometry, which may augment diagnostic utility. The aim of this study was to compare the diagnostic yields of liquid-based cytology, DNA image cytometry, and both in combination, regardless of serous-effusion etiology.

Methods:

We conducted a descriptive study on patients with serous effusions from July 2016 to June 2018. All samples were submitted for liquid-based cytology and DNA image cytometry techniques. We compared the results of cytopathological studies to the final diagnoses.

Results:

For a total of 798 samples, final diagnoses included 412 (51.6%) malignancies, 280 (35.1.%) inflammatory diseases, and 106 (13.3%) transudative serous effusions. Liquid-based cytology had a more sensitive diagnostic yield than DNA image cytometry did (38.8% vs 30.7%; P < .05), but the combination of both had a higher yield (43.7%; P < .05) compared with that of liquid-based cytology alone. For the 412 malignant serous effusions, diagnostic yields of liquid-based cytology and DNA image cytometry were 73.8% and 59.5%, respectively. The difference in sensitivity was significant (P < .05). Combined liquid-based cytology + DNA image cytometry improved diagnostic yield to 83.3% (P < .05). However, both liquid-based cytology and DNA image cytometry had low diagnostic yields for inflammatory diseases and transudative serous effusions.

Conclusion:

In serous effusion, liquid-based cytology’s diagnostic performance is better than that of DNA image cytometry. Application of both techniques can significantly increase diagnostic yield.

Primary HPV testing with cytology versus cytology alone in cervical screening-A prospective randomized controlled trial with two rounds of screening in a Chinese population

We conducted a prospective randomized controlled trial with two screening rounds to evaluate the effectiveness of combining HPV testing with liquid-based cytology (LBC) as a co-test, compared to LBC only in cervical cancer screening of a Chinese population. First, 15,955 women aged 30-60 were randomized at a 1:1 ratio into an intervention group (Digene Hybrid Capture 2 HPV test with LBC) and a control group (LBC alone). Women in the intervention group would be referred for colposcopy and biopsy immediately if they were found to have high-risk HPV regardless of cytology results. The detection of cervical intraepithelial neoplasia grade 2 or above (CIN2+) lesions was significantly higher in the intervention group compared to the control (0.95% vs. 0.38%, OR 2.50, 95% CI 1.65-3.88). At the subsequent round of screening approximately 36 months later, CIN2+ detection was significantly lower in the intervention group (0.08% vs. 0.35%, OR 0.23, 95% CI 0.08-0.57). Over the two rounds of screening, the total detection of CIN2+ was higher in the intervention group (1.01% vs. 0.66%, OR 1.53, 95% CI 1.09-2.19). There was a fourfold increase (10.6% vs. 2.4%, p < 0.001) in the number of colposcopies performed in the intervention arm. Adding a high-risk HPV test to cytology for primary cervical screening led to earlier detection of clinically significant preinvasive lesions, resulting in a reduced detection of CIN2+ lesions in subsequent rounds and an increased rate of colposcopy.

Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population

This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay with the Cobas HPV test in identifying cervical intraepithelial neoplasia 2/3 or above (CIN2/3+) in an Asian screening population and (ii) to explore improving the cervical cancer detection specificity of Onclarity by machine learning. We tested 605 stratified random archived samples of cervical liquid-based cytology samples with both assays. All samples had biopsy diagnosis or repeated negative cytology follow-up. Association rule mining (ARM) was employed to discover coinfection likely to give rise to CIN2/3+. Outcome classifiers interpreting the extended genotyping results of Onclarity were built with different underlying models. The sensitivities (Onclarity, 96.32%; Cobas, 95.71%) and specificities (Onclarity, 46.38%; Cobas, 45.25%) of the high-risk HPV (hrHPV) components of the two tests were not significantly different. When HPV16 and HPV18 were used to further interpret hrHPV-positive cases, Onclarity displayed significantly higher specificity (Onclarity, 87.10%; Cobas, 80.77%). Both hrHPV tests achieved the same sensitivities (Onclarity, 90.91%; Cobas, 90.91%) and similar specificities (Onclarity, 48.46%; Cobas, 51.98%) when used for triaging atypical squamous cells of undetermined significance. Positivity in both HPV16 and HPV33/58 of the Onclarity channels entails the highest probability of developing CIN2/3+. Incorporating other hrHPVs into the outcome classifiers improved the specificity of identifying CIN2/3 to up to 94.32%. The extended genotyping of Onclarity therefore can help to highlight patients having the highest risk of developing CIN2/3+, with the potential to reduce unnecessary colposcopy and negative psychosocial impact on women receiving the reports.