Clinical application of DNA ploidy to cervical cancer screening: A review

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.

HPV-negative high-grade cervical precancerous lesions or invasive cancer in China: A post hoc analysis of a multicentric clinical study

OBJECTIVE

To evaluate HPV-negative cervical high-grade precancerous lesions or cancer in China.

METHODS

Histologically confirmed cervical intraepithelial neoplasia grade 2 or worse (CIN2+) were searched in a multicentric clinical study. All patients underwent cobas HPV testing, liquid-based cytology, DNA ploidy analysis, and colposcopy-guided biopsy. According to clinical practice, patients underwent p16^ink4a staining and cone biopsy. Comparisons were made between HPV-negative and -positive patients for clinical characteristics.

RESULTS

The study found 61 cases of cobas HPV-negative CIN2+ among 797 cases of histologically confirmed CIN2+, including 38 CIN2, 20 CIN3, and 3 invasive cancers. The prevalence of HPV-negative CIN2+ and CIN3+ was 7.7% (95% confidence interval [CI] 5.8-9.5) and 5.7% (95% CI 3.5-8.0), respectively. Among 24 cases with p16 staining, 20 showed p16 positivity. The proportions of normal or minor abnormalities in terms of colposcopy, cytology, and DNA ploidy were higher in HPV-negative cases than in HPV-positive cases. When adding cytology to the screening of symptomatic or previously HPV-positive women, the prevalence of HPV-negative CIN2+ or CIN3 would decrease by approximately 50%.

CONCLUSION

Less than one-tenth of CIN2+ are missed by HPV-only screening, and they have smaller lesions than HPV-positive cases. Colposcopy should be considered for symptomatic or previously HPV-positive women with HPV-negative results.

DNA image cytometry ploidy analysis technique improves the detection rate of pleural effusion cytology

OBJECTIVE

To explore the clinical diagnostic value of DNA image cytometry (DNA-ICM) ploidy analysis in malignant pleural effusion cancer screening, this study analyzed the effect of exfoliated cell smears (ECSs), cell blocks (CBs), and immunochemistry.

METHOD

A total of 830 cases of pleural effusion were considered for the DNA-ICM ploidy analysis. The ECSs were centrifuged, the CBs were formed, and the DNA-ICM ploidy analysis was carried out in the diagnosis of malignant pleural effusion. Immunochemistry and biopsy was applied to differentiate between benign and malignant pleural effusion and to determine the source of the latter. The sensitivity and specificity differences between the three methods alone and in combination were compared.

RESULTS

The sensitivity of the DNA-ICM, ECS, and CB methods was 96.28%, 94.93%, and 95.95%, respectively, and the specificity of each method was 86.52%, 87.08%, and 86.14%, respectively. The sensitivity and specificity of the combined diagnosis method were 99.32% and 75.09%, respectively. Among the 22 cases diagnosed as positive in the DNA-ICM ploidy analysis but negative in the ECS and CB analyses, four cases were diagnosed as positive by comprehensive clinical diagnosis.

CONCLUSION

The sensitivity and specificity of DNA-ICM ploidy analysis are high; the positive detection rate of pleural fluid cytology is effectively increased, and the missed detection rate of cell pathologies is effectively reduced. The combination of the three methods significantly improves the specificity and sensitivity of the diagnosis of malignant pleural effusion, and immunochemistry with CBs can be used to accurately analyze the primary tumor site.

Weakly Supervised Deep Nuclei Segmentation With Sparsely Annotated Bounding Boxes for DNA Image Cytometry

Nuclei segmentation is an essential step in DNA ploidy analysis by image-based cytometry (DNA-ICM) which is widely used in cytopathology and allows an objective measurement of DNA content (ploidy). The routine fully supervised learning-based method requires often tedious and expensive pixel-wise labels. In this paper, we propose a novel weakly supervised nuclei segmentation framework which exploits only sparsely annotated bounding boxes, without any segmentation labels. The key is to integrate the traditional image segmentation and self-training into fully supervised instance segmentation. We first leverage the traditional segmentation to generate coarse masks for each box-annotated nucleus to supervise the training of a teacher model, which is then responsible for both the refinement of these coarse masks and pseudo labels generation of unlabeled nuclei. These pseudo labels and refined masks along with the original manually annotated bounding boxes jointly supervise the training of student model. Both teacher and student share the same architecture and especially the student is initialized by the teacher. We have extensively evaluated our method with both our DNA-ICM dataset and public cytopathological dataset. Without bells and whistles, our method outperforms all existing weakly supervised entries on both datasets. Code and our DNA-ICM dataset are publicly available at https://github.com/CVIU-CSU/Weakly-Supervised-Nuclei-Segmentation.

DNA aneuploidy combined with radial EBUS in the diagnosis of peripheral lung lesions

OBJECTIVE

To explore the diagnostic value of DNA aneuploidy analysis combined with radial endobronchial ultrasound (R-EBUS)-guided transbronchial biopsy in peripheral lung lesions.

METHOD

We performed a retrospective analysis of patients who underwent R-EBUS examination. DNA aneuploidy analysis of bronchial washing from the target bronchial segment were performed. The clinical information, R-EBUS data, pathological results and DNA image cytometry (DNA-ICM) results were collected. For patients who did not have a clear diagnosis after bronchoscopy, follow-up data was recorded.

RESULTS

A total of 42 cases were included. Thirty patients had confirmed malignant tumor of the lung, 19 of which were confirmed by pathology after bronchoscopy, and 11 cases were confirmed later by surgery or percutaneous lung puncture. Twelve patients were finally considered to have benign lesions. The sensitivity of R-EBUS is 63.3% and the specificity is 100%. DNA-ICM has a sensitivity of 76.7% and a specificity of 91.7%. When combined, they have a sensitivity of 90%, and specificity 91.7%. As for malignant lesions, we further analyzed smoking, the size and location of lesions on chest CT, the number of aneuploid cells and the maximum value of DNA content. The results indicated that increased number of aneuploid cells or increased max value of DNA content may predict higher probability of malignancy.

CONCLUSION

DNA-ICM combined with R-EBUS can improve the diagnostic sensitivity of malignant peripheral lung lesions. Increased number of aneuploid cells or increased max value of DNA content may indicate that the lesions are more likely to be malignant.

Use of DNA image cytometry in conducting oral cancer screening in rural India

OBJECTIVES

Oral cancer screening can assist in the early detection of oral potentially malignant lesions (OPMLs) and prevention of oral cancers. It can be challenging for clinicians to differentiate OPMLs from benign conditions. Adjunct screening tools such as fluorescence visualization (FV) and DNA image cytometry (DNA-ICM) have shown success in identifying OPMLs in high-risk clinics. For the first time we aimed to assess these technologies into Indian rural settings and evaluate if these tools helped clinicians identify high-risk lesions during screening.

METHODS

Dental students and residents screened participants in five screening camps held in villages outside of Hyderabad, India, using extraoral, intraoral, and FV examinations. Lesion and normal tissue brushings were collected for DNA-ICM analysis and cytology.

RESULTS

Of the 1116 participants screened, 184 lesions were observed in 152 participants. Based on white light examination (WLE), 45 lesions were recommended for biopsy. Thirty-five were completed on site; 25(71%) were diagnosed with low-grade dysplasias (17 mild dysplasia, 8 moderate dysplasia) and the remaining 10 showed no signs of dysplasia. FV loss was noted in all but one dysplastic lesion and showed a sensitivity of 96% and specificity of 17%. Cytology combined with DNA-ICM had a 64% sensitivity and 86% specificity in detecting dysplasia.

CONCLUSION

DNA-ICM combined with cytology identified majority of dysplastic lesions and identified additional lesions, which were not considered high-risk during WLE to biopsy on site. Efforts to follow-up with these participants are ongoing. FV identified most high-risk lesions but added limited value over WLE.

Predicting progression of low-grade oral dysplasia using brushing based DNA ploidy and Chromatin Organization analysis

Most oral cancers arise from oral potentially malignant lesions, which show varying grades of dysplasia. Risk of progression increases with increasing grade of dysplasia, however risk prediction among oral low-grade dysplasia (LGDs) i.e., mild and moderate dysplasia can be challenging as only 5-15% transform. Moreover, grading of dysplasia is subjective and varies with the area of the lesion being biopsied. To date, no biomarkers or tools are used clinically to triage oral LGDs. This study utilizes a combination of DNA ploidy and chromatin organization (CO) scores from cells obtained from lesion brushings to identify oral LGDs at high-risk of progression. A total of 130 lesion brushings from patients with oral LGDs were selected of which 16 (12.3%) lesions progressed to severe dysplasia or cancer. DNA ploidy and CO scores were analyzed from nuclear features measured by our in-house DNA image cytometry (DNA-ICM) system and used to classify brushings into low risk and high risk. A total of 57 samples were classified as high-risk of which 13 were progressors. High-risk DNA brushing was significant for progression (P = 0.001) and grade of dysplasia (P = 0.004). Multivariate analysis showed high-risk DNA brushing showed 5.1 to 8-fold increased risk of progression, a stronger predictor than dysplasia grading and lesion clinical features. DNA-ICM can serve as a non-invasive, high throughput tool to identify high-risk lesions several years prior to transformation. This will help clinicians focus on such lesions while low-risk lesions may be spared from unnecessary biopsies.

Emerging technologies for cervical cancer screening

Cervical cancer remains a concern worldwide, and cervical cancer screening plays an important role in reducing the burden of this disease. Although cytology is still the main strategy for cervical cancer screening, it has gradually changed to human papillomavirus testing. The specificity of human papillomavirus testing is lower than that of cytology, which leads to an increased rate of colposcopy after positive results. To decrease colposcopic examinations, an efficient triage method is needed for human papillomavirus screening. New biomarkers have been developed and evaluated for primary screening and triage of abnormal cytology or human papillomavirus-positive results. Their sensitivity and specificity were estimated and compared with those of cytology. In the present study, the following new techniques were examined: p16/Ki67 dual staining, DNA methylation, micro-ribonucleic acid, chromosomal abnormalities, Claudins and DNA ploidy. Evaluation studies of p16/Ki67 dual staining and DNA methylation were more advanced than those of other options. When p16/Ki67 dual staining was used for triage for human papillomavirus testing, the sensitivity of 2 or greater cervical intraepithelial neoplasia (CIN2+) detection was higher than that of cytology without decreased specificity. Although there are several types of DNA methylation, sensitivity and specificity were moderate for detecting CIN2+. S5 classifier is a commercialized product that consists of viral methylation, and high sensitivity with decreased specificity has been reported. Considering its combination with self-sampling, DNA methylation is a highly anticipated technique along with human papillomavirus testing for the next generation of cervical cancer screening. However, the backgrounds for cervical cancer screening differ among countries and further study is needed to identify the best available method.

An improved algorithm using a Health Canada-approved DNA-image cytometry system for non-invasive screening of high-grade oral lesions

BACKGROUND

DNA-image cytometry (DNA-ICM) is able to detect gross alterations of cellular DNA-content representing aneuploidy, a biomarker of malignancy. A Health Canada-approved DNA-ICM system, ClearCyte^® in combination with a cytopathologist's review, has demonstrated high sensitivity (89%) and specificity (97%) in identifying high-grade oral lesions. The study objective was to create an improved automated algorithm (iClearcyte) and test its robustness in differentiating high grade from benign reactive oral lesions without a cytopathologist's input.

METHODS

A set of 214 oral brushing samples of oral cancer (n = 92), severe dysplasia (n = 20), reactive lesions (n = 52), and normal samples (n = 50) were spun down onto slides and stained using Feulgen-Thionin reaction. Following ClearCyte^® scan, nuclear features were calculated, and nuclei categorized into "diploid," "hyperdiploid," "tetraploid," and "aneuploid" DNA ploidy groups by the ClearCyte^® software. The samples were randomized into training and test sets (70:30) based on patient's age, sex, tobacco use, and lesion site risk. The training set was used to create a new algorithm which was then validated using the remaining samples in the test set, where sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

RESULTS

The proposed iClearCyte algorithm (>1 "aneuploid" cell or ≥ 1.7% combined "hyperdiploid" and "tetraploid" nuclei frequency) identified high-grade samples with sensitivity, specificity, PPV, and NPV of 100.0%, 86.7%, 89.7%, and 100.0%, respectively, in the test set.

CONCLUSION

The iClearCyte test has potential to serve as a robust non-invasive automated oral cancer screening tool promoting early oral cancer detection and decreasing the number of unnecessary invasive biopsies.

Digital Image Analysis has an Additive Beneficial Role to Conventional Cytology in Diagnosing the Nature of Biliary Ducts Stricture

BACKGROUND & AIM

Conventional cytological evaluation (CCE) fails to identify nature indeterminate biliary duct stricture (IBDS) in many cases. Digital image analysis (DIA) has the ability to identify and analyze the DNA content of cells. This study assesses the role of DIA in recognizing the nature of IBDS compared to CCE.

METHODS

A prospective observational study was conducted at the Al-Rajhi University Hospital. Fifty patients with IBDS, based on abdominal imaging, were subjected to endoscopic retrograde cholangiopancreatography (ERCP) and brush sampling. These samples were evaluated with CCE and DIA. Follow-up for at least 9 months and cost-analysis had also been done.

RESULTS

Based on the final diagnosis, 32 (64.0%) patients had malignant stricture, and 39 (78.0%) had distal stricture. DIA had 84.40% (95% CI; 67.20-94.70) sensitivity and 94.40% (95% CI; 72.70-99.90) specificity in identifying nature of IBDS, whereas CCE had 19.0% (95% CI; 7.20-36.40) sensitivity and 89.0% (95% CI; 65.30-98.60) specificity. Combination of both modalities had 84.40% (95% CI; 67.20-94.70) sensitivity and 83.30% (95% CI; 58.60-96.40) specificity in identification nature of IBDS. Based on CCE alone, only 6/32 (18.80%) of malignant stricture were diagnosed, and 26/32 (81.20%) were missed. However, DIA alone was able to diagnose 27/32 (84.40%) of malignant stricture, and only 5 cases were missed. Both procedures had detection rate of malignant stricture as DIA alone. Benign stricture was correctly diagnosed in 16/18 (88.80%), 17/18 (94.40%), and 15/18 (83.30%) using CCE alone, DIA alone, and both procedures together, respectively. Cost per detection additional one malignant stricture using DIA required 99.4$.

CONCLUSION

DIA is substantially better than CCE in diagnosing the nature of IBDS but at an increase cost and thus suggests its application in a wider role in clinical practice.

CLINICAL TRIAL NUMBER

NCT04112030.

Impact of infections, preneoplasia and cancer on micronucleus formation in urothelial and cervical cells: A systematic review

Approximately 165,000 and 311,000 individuals die annually from urothelial (UC) and cervical (CC) cancer. The therapeutic success of these cancers depends strongly on their early detection and could be improved by use of additional diagnostic tools. We evaluated the current knowledge of the use of micronucleus (MN) assays (which detect structural and numerical chromosomal aberrations) with urine- (UDC) and cervix-derived (CDC) cells for the identification of humans with increased risks and for the diagnosis of UC and CC. Several findings indicate that MN rates in UDC are higher in individuals with inflammation and schistosomiasis that are associated with increased prevalence of UC; furthermore, higher MN rates were also found in CDC in women with HPV, Candidiasis and Trichomonas infections which increase the risks for CC. Only few studies were published on MN rates in UDS in patients with UC, two concern the detection of recurrent bladder tumors. Strong correlations were found in individuals with abnormal CC cells that are scored in Pap tests and histopathological abnormalities. In total, 16 studies were published which concerned these topics. MN rates increased in the order: inflammation < ASC-US/ASC-H < LSIL < HSIL < CC. It is evident that MNi numbers increase with the risk to develop CC and with the degree of malignant transformation. Overall, the evaluation of the literature indicates that MNi are useful additional biomarkers for the prognosis and detection of CC and possibly also for UC. In regard to the diagnosis/surveillance of UC, further investigations are needed to draw firm conclusions, but the currently available data are promising. In general, further standardization of the assays is needed (i.e. definition of optimal cell numbers and of suitable stains as well as elucidation of the usefulness of parameters reflecting cytotoxicity and mitotic activity) before MN trials can be implemented in routine screening.

A DNA quantitative analysis of lung cancer cells with different pathological types from bronchial brush specimens and its clinical significance

OBJECTIVE

To explore the significance of a DNA quantitative analysis of lung cancer cells with different pathological types taken from bronchial brush specimens and its relationship with the clinicopathological features.

METHODS

903 bronchial brush cytological specimens taken in the Cytology Department of the Fourth Hospital of Hebei Medical University were collected from March 2017 to December 2019 and divided into three groups: the squamous carcinoma (SC) group, the adenocarcinoma (AC) group, and the small-cell carcinoma (SCC) group. The maximum DNA index (DI) value, the percentage of cells with a DI larger than 2.5, the mean DI, and the peaks of the aneuploid cells of the three groups were compared. A single factor analysis was used to analyze the relationship between the DNA content, aneuploidy, and the clinico pathological features of the patients who had surgery.

RESULTS

The peaks of the aneuploid cells in the SC group, the AC group, and the SCC group had no significant differences (P=0.57). The maximum DI, the percentage of cells with a DI larger than 2.5, and the mean DI of the three groups showed statistically significant differences (P<0.001). The clinicopathological features of the AC patients and the SC patients, such as gender, age, tumor type, the maximum tumor diameter, clinical stage, vascular invasion, nerve invasion, pleural invasion, tracheal spread, and lymph node metastasis were not independent factors that influence the DNA content and have no statistical significance (P > 0.05).

CONCLUSION

The reason why the DNA content of small-cell lung cancer is lower than SC and AC remains to be further studied.

The Value of DNA Quantitative Cytology Test for the Screening of Endometrial Cancer

Objective

To evaluate the accuracy, sensitivity, and specificity of DNA quantitative cytology test for the diagnosis of endometrial cancer or precancerous lesions and then discuss the value of DNA quantitative cytology as a screening tool for endometrial cancer.

Methods

The study enrolled 575 patients from September 2013 to January 2017 in Shanghai Minhang Central Hospital. Endometrial hysteroscopy plus dilation and curettage and DNA quantitative cytology tests were conducted as a method for the diagnosis of endometrial cancer. The accuracy, sensitivity, and specificity of this method were calculated according to histopathologic diagnoses which were used as the gold standard for diagnosis confirmation.

Results

For the DNA quantitative cytology diagnosis of endometrial cancer, accuracy was estimated at 85.57%, sensitivity at 87.01%, specificity at 85.34%, positive predictive value (PPV) at 47.86%, and negative predictive value (NPV) at 97.07%. For the DNA quantitative cytology diagnosis of endometrial cancer in menopausal patients: accuracy was estimated at 89.95%, sensitivity at 97.73%, specificity at 87.59%, positive predictive value (PPV) at 70.49%, negative predictive value (NPV) at 99.22%. For the DNA quantitative cytology diagnosis of endometrial cancer in non-menopausal patients, accuracy was estimated at 83.42%, sensitivity at 72.73%, specificity at 84.42%, positive predictive value (PPV) at 30.38%, and negative predictive value (NPV) at 97.07%.

Conclusion

DNA heteroploidy can be tested for the occurrence and the development of endometrial cancer. A small number of non-endometrial cancer cases may also appear DNA heteroploidy, but the number of >5c cells is less than 3. DNA quantitative analysis is a useful tool for the screening of endometrial cancer, worthy of being popularized and applied in endometrial cancer diagnosis.

The value of DNA image cytometry combined with brush routine cytology in diagnosing indeterminate biliary strictures: A large sample size retrospective study

BACKGROUND AND AIM

Brush cytology is widely applied to diagnosis indeterminate biliary stricture but suffer from low sensitivity. Changes in DNA content are a character of malignant cell and can be detected by DNA image cytometry (DNA-ICM). The study aimed to estimate the value of routine cytology (RC), DNA-ICM, and their combination in diagnosing indeterminate biliary strictures.

METHODS

A total of 362 patients who underwent both RC and DNA-ICM tests were analysed. Their results were retrospectively applied to final diagnoses. Diagnostic values were compared among RC, DNA-ICM, and their combination based on the location of strictures.

RESULTS

The DNA-ICM and combination of two methods had higher diagnostic accuracy than RC in all strictures (63.3% vs 42.3%, P < 0.001, 64.36% vs 42.3%, P < 0.001) and in distal strictures (65.36% vs 42.81%, P < 0.001, 66.01% vs 42.81%, P < 0.001). But in proximal strictures, DNA-ICM showed no superior (51.8% vs 42.81%, P = 0.184). Combination of two methods was not fully significant superior to RC in proximal strictures (55.36% vs 39.29%, P = 0.089). After classification of "suspicious for malignancy" as positive for malignancy, the diagnostic accuracy of DNA-ICM was still higher than that of RC in all strictures (63.3% vs 51.9%, P = 0.002) and in distal strictures (65.36% vs 52.29%, P = 0.001). Combination of two methods was no superior to DNA-ICM alone (64.36% vs 63.3%, P = 0.757). The utilization of DNA-ICM was more accurate in distal strictures than in proximal strictures (65.36% vs 51.8%, P = 0.017).

CONCLUSION

DNA-ICM is an objective and effective addition tool with RC, especially in distal strictures. The combination of DNA-ICM and RC showed no superior to DNA-ICM alone but could improve diagnostic accuracy to RC in proximal strictures although not fully significant.

The role of DNA image cytometry in screening oral potentially malignant lesions using brushings: A systematic review

It is believed that the majority of oral cancers develop from oral potentially malignant lesions (OPML). Though they can be easily detected during screening, risk stratification is difficult. During screening clinicians often find it difficult to distinguish OPMLs from benign lesions, and predicting OPML at risk of malignant transformation is particularly challenging. DNA aneuploidy has been known to be a marker of malignancy in a number of sites including the oral cavity. We performed a systematic review to evaluate the effectiveness of DNA-ICM using brushings in differentiating OPMLs from benign/inflammatory lesions during screening and in predicting malignant transformation. MEDLINE, Pubmed, EMBASE electronic databases were systematically searched using a combination of keywords and subject headings. A total of 11 articles satisfied our inclusion criteria. These studies reported a wide range of sensitivity (16-96.4%) and specificity (90-100%) due to the differences in study design, definitions of high risk or low risk lesions and DNA-ICM protocol used. No long-term longitudinal studies were identified to assess the role of DNA-ICM using brushings in predicting malignant transformation. No studies evaluated the role of DNA-ICM in community screening settings. A number of studies combined DNA-ICM with other techniques like cytology or argyrophilic nucleolar organizer region counts leading to improved test results. In spite of DNA aneuploidy being accepted as a marker of malignancy, there is limited evidence of DNA-ICM using brushings being successful as an adjunct oral cancer screening tool. Longitudinal studies and large community screening studies need to be undertaken to draw stronger conclusion.

Biological Characteristics of Cervical Precancerous Cell Proliferation

High-grade squamous intraepithelial lesions (HSILs) are regarded as precancerous lesions that can progress to cervical carcinoma; however, it is very difficult to effectively differentiate these precancerous cells from cancerous cells based on morphology alone. Additionally, the difference between precancerous cells and cancerous cells in regard to biological behaviour remains unclear. We previously cultured primary normal uterine cervical keratinocytes from human normal cervical tissue and cervical precancerous cells that were naturally infected with human papillomavirus from small-sized neoplastic cervical tissues. Here, we extended our study to further observe the in vitro proliferative characteristics of cervical precancerous cells at the cellular and molecular levels. In this study, we found that the growth rate of precancerous cells was significantly faster than that of normal cervical cells and slower than that of Caski cells. However, the proliferative capacity of such precancerous cells was similar to that of cancerous cells of the cervix at the molecular level. These results suggest that the surrounding environment of the cells may play an important role in the development of cervical cancer, which provides an important basis for the further study of precancerous and cancerous lesions of the cervix.

Progress in immunocytochemical staining for cervical cancer screening

Cervical cancer is one of the most common gynecological malignancies. In recent years, the implementation of cervical cancer screening has resulted in the effective control of cervical cancer incidence. However, many deficiencies still exist in the current screening techniques and strategies. With advancements in cervical cancer screening research, immunochemical staining to determine cervical cytology has shown a broader application prospect in the early screening for cervical cancer, especially for triage in cervical cancer screening.

Value of automatic DNA image cytometry for diagnosing lung cancer

The present study aimed to investigate the diagnostic value of automatic DNA image cytometry (DNA-ICM) for diagnosing lung cancer. A total of three different types of samples from 465 cases were included: Bronchoalveolar lavage fluid (BALF), 386 samples; pleural effusion cases, 70 samples; and fine-needle aspiration procedures, 9 samples. Two methods, liquid-based cytology (LBC) and automatic DNA-ICM, were used to assess the samples, and the pathological results of 120/465 cases were reviewed. The results of DNA-ICM were compared with those of LBC and pathology. There were 57 cases of lung cancer without aneuploidy and 49 cases without evidence of malignant tumor, but with the presence of heteroploid cells. The positive diagnostic rate for BALF samples using LBC was significantly higher compared with that for DNA-ICM (P<0.05). No statistically significant difference was observed in the positive diagnostic rate between DNA-ICM and LBC in pleural effusion samples. For DNA-ICM in BALF, pleural effusion and all samples, no statistically significant differences were identified between the positive diagnostic rates of lung squamous carcinoma and lung adenocarcinoma. The positive diagnostic rate of LBC combined with DNA-ICM was not significantly improved. In non-small cell lung cancer (NSCLC) cases, the difference in the maximum value of DNA (DNAmax) was positively correlated with tumor stage (P<0.05), but no significant correlations were observed among DNA max, tumor type and tumor location. In small-cell lung cancer (SCLC) cases, no significant correlations were observed among DNAmax, tumor staging or tumor location. The differences in the DNAmax values of squamous cell carcinoma, adenocarcinoma, SCLC and NSCLC were not statistically significant. In the present study, the area under the receiver operating characteristic curve for LBC (0.936) was significantly greater compared with that for DNA-ICM (0.766) (P<0.05). DNA-ICM has medium diagnostic value in lung cancer, and the DNAmax was positively correlated with tumor stage in NSCLC. DNA-ICM may serve as a supplement to LBC, but it is not recommended as a sole procedure for lung cancer screening.

Identification of Malignancy-Associated Changes in Histologically Normal Tumor-Adjacent Epithelium of Patients with HPV-Positive Oropharyngeal Cancer

The incidence of HPV-positive oropharyngeal cancer (HPV+ OPC) is increasing, thus presenting new challenges for disease detection and management. Noninvasive methods involving brush biopsies of diseased tissues were recently reported as insufficient for tumor detection in HPV+ OPC patients, likely due to differences between the site of tumor initiation at the base of involuted crypts and the site of brush biopsy at the crypt surface. We hypothesized that histologically normal surface epithelial cells in the oropharynx contain changes in nuclear morphology that arise due to tumor proximity. We analyzed the nuclear phenotype of matched tumor, tumor-adjacent normal, and contralateral normal tissues from biopsies of nine HPV+ OPC patients. Measurements of 89 nuclear features were used to train a random forest-based classifier to discriminate between normal and tumor nuclei. We then extracted voting scores from the trained classifier, which classify nuclei on a continuous scale from zero (“normal-like”) to one (“tumor-like”). In each case, the average score of the adjacent normal nuclei was intermediate between the tumor and contralateral normal nuclei. These results provide evidence for the existence of phenotypic changes in histologically normal, tumor-adjacent surface epithelial cells, which could be used as brush biopsy-based biomarkers for HPV+ OPC detection.

Endoscopic Ultrasound-Guided Fine-Needle Aspiration Cytology Combined With Automated Quantitative DNA Cytometry Can Improve the Value in the Detection of Pancreatic Malignancy

OBJECTIVES

Quantitative DNA-image cytometry (ICM) is used to diagnose malignancy via detecting changes in DNA content. We aimed to estimate the value of cytology, DNA-ICM, and their combination in diagnosing pancreatic malignancy.

METHODS

One hundred twenty-one endoscopic ultrasound-guided fine-needle aspiration samples from 116 patients suspected for pancreatic malignancy were examined by cytology and DNA-ICM. Their results and the final diagnoses (malignancy or not) were collected. Diagnostic values were compared among cytology, DNA-ICM, and their combination.

RESULTS

The DNA-ICM had a lower sensitivity and accuracy than cytology (64.2% vs 81.1%; 71.9% vs 85.1%). The combination of the techniques significantly improved the diagnostic accuracy compared with that of cytology or DNA-ICM alone (0.932 vs 0.905, P = 0.02; 0.932 vs 0.821, P < 0.0001). Using the Youden index, we determined that one cell with DI (DNA index) ≥2.5 is the optimal cutoff value for DNA-ICM to diagnose pancreatic malignancy. After adoption of this criterion, the sensitivity and accuracy were improved to 74.7% and 80.2% with DNA-ICM and 90.5% and 92.6% with the combined method.

CONCLUSIONS

The DNA-ICM is an effective complementary method to cytology in diagnosing pancreatic malignancy. Although the diagnostic value for DNA-ICM is lower than that of cytology, an improved value was obtained after their combination.

Increased HPV L1 gene methylation and multiple infection status lead to the difference of cervical epithelial cell lesion in different ethnic women of Xinjiang, China

Human papillomavirus (HPV) L1 gene methylation deeply involved in the progression and heterogeneity of cervical cell epithelial lesions. The DNA ploidy also represented the early lesions of cervical cell, and it was associated with different HPV infection status in different ethnic women. So, the research was to explore whether it was possible that HPV L1 gene methylation and HPV infection status as the risk factors to lead to the differences of cervical epithelial cells' lesions in different ethnics women.The flow-through hybridization and gene chip for HPV genotypes test, general characteristics, and cervical exfoliated cell samples were collected from 94 Uygur and 79 Han women with HPV-16 infection. The cases were divided into the single HPV-16 (sHPV-16) infection group and multiple HPV-16 (mHPV-16) infection group in each ethnic women. The DNA ploidy was analyzed by flow cytometry, and the methylation-sensitive high resolution melting (MS-HRM) was used to test the HPV-16 L1 gene methylation, the results of methylation was segmented into mild methylation, moderate methylation, and severe methylation groups. Multifactor logistic analysis explored the relation between DNA heteroploid and HPV-16 infection status, HPV-16 L1 gene methylation in different ethnic women.The higher proportion of mHPV-16 infection in Uygur than Han women (61.7% vs 38.0%). L1 gene methylation had statistic difference between single and mHPV-16 infection under the same ethnic women. The proportion of DNA heteroploid had statistic difference between different HPV-16 infection status or different L1 gene methylation grades in Han or Uygur women. Both L1 gene methylation and HPV infection status were the risk factors of DNA heteroploid. Compared to the sHPV-16 infection, the odds ratio (OR) of mHPV-16 infection were 4.409 (CI: 1.398-13.910) and 3.279 (CI: 1.069-10.060) in Han and Uygur women. Compared the mild L1 gene methylation, the OR of moderate L1 gene methylation were 3.313 (CI: 1.002-10.952) and 5.075 (CI: 1.385-18.603) in Han and Uygur women, the OR of severe L1 gene methylation were 20.592 (CI: 3.691-114.880) and 63.634 (CI: 10.400-389.368) in Han and Uygur women.The study first reported that HPV L1 gene methylation and HPV infection status were the risk factors to the DNA heteroploid of cervical cell in different ethnics women, HPV L1 gene methylation and infection status should be recommended to the existing system of cervical lesion screening in order to provide better serves for the HPV infected women, especially for the ethnic women with high proportion of severe L1 gene methylation and multiple infection status.

DNA image cytometry for diagnosis of early gastric cancer

Gastric cancer (GC) is one of the most common malignant tumors, with high morbidity and mortality. Early detection, diagnosis and treatment are the key to improve the curative effect and prolong the survival of the patients. At present, tumor cell DNA detection technology has been used for the assistant diagnosis of a variety of common tumors and can improve the early detection rate of benign and malignant tumors. In the process of malignant transformation of cells, changes in genetic material such as DNA are earlier than the morphological changes of cells. Therefore, the DNA image cytometry of cells can be used to find early malignant cells with genetic material abnormalities. Being able to detect GC earlier, DNA image cytometry can increase the detection rate of early GC and improve the treatment and prognosis of patients.This article reviews the application of DNA image cytometry in the diagnosis of early GC.

Liquid Biopsies for Cancer: Coming to a Patient near You

The use of circulating tumor DNA (ctDNA) as a novel and non-invasive test for the diagnosis and surveillance of cancer is a rapidly growing area of interest, with sequencing of ctDNA acting as a potential surrogate for tissue biopsy. Circulating tumor DNA has been detected incidentally during noninvasive prenatal testing and additionally in more than 75% of known cancer patients participating in ctDNA studies evaluating its sensitivity. In the setting of mutation-based targeted tumor therapy, it shows a concordance rate >80% when compared with gold-standard tissue biopsies. Through ctDNA detection and sequencing, a simple blood test becomes a liquid biopsy for cancer, surveying a patient’s entire circulation with the goal of early detection, prognostic information, personalized therapy options, and tracking for recurrence or resistance, all with fewer or no tissue biopsies. Given the recent first-ever FDA approval of a liquid biopsy, it is important for clinicians to be aware of the rapid advancements likely to bring these tests into our practices soon. Here we review the biology, clinical implications, and recent advances in circulating tumor DNA analysis.

Mining the Dynamic Genome: A Method for Identifying Multiple Disease Signatures Using Quantitative RNA Expression Analysis of a Single Blood Sample

Background: Blood has advantages over tissue samples as a diagnostic tool, and blood mRNA transcriptomics is an exciting research field. To realize the full potential of blood transcriptomic investigations requires improved methods for gene expression measurement and data interpretation able to detect biological signatures within the “noisy” variability of whole blood. Methods: We demonstrate collection tube bias compensation during the process of identifying a liver cancer-specific gene signature. The candidate probe set list of liver cancer was filtered, based on previous repeatability performance obtained from technical replicates. We built a prediction model using differential pairs to reduce the impact of confounding factors. We compared prediction performance on an independent test set against prediction on an alternative model derived by Weka. The method was applied to an independent set of 157 blood samples collected in PAXgene tubes. Results: The model discriminated liver cancer equally well in both EDTA and PAXgene collected samples, whereas the Weka-derived model (using default settings) was not able to compensate for collection tube bias. Cross-validation results show our procedure predicted membership of each sample within the disease groups and healthy controls. Conclusion: Our versatile method for blood transcriptomic investigation overcomes several limitations hampering research in blood-based gene tests.

Revisiting tumour aneuploidy - the place of ploidy assessment in the molecular era

Chromosome instability (CIN) is gaining increasing interest as a central process in cancer. CIN, either past or present, is indicated whenever tumour cells harbour an abnormal quantity of DNA, termed 'aneuploidy'. At present, the most widely used approach to detecting aneuploidy is DNA cytometry - a well-known research assay that involves staining of DNA in the nuclei of cells from a tissue sample, followed by analysis using quantitative flow cytometry or microscopic imaging. Aneuploidy in cancer tissue has been implicated as a predictor of a poor prognosis. In this Review, we have explored this hypothesis by surveying the current landscape of peer-reviewed research in which DNA cytometry has been applied in studies with disease-appropriate clinical follow up. This area of research is broad, however, and we restricted our survey to results published since 2000 relating to seven common epithelial cancers (those of the breast; endometrium, ovary, and uterine cervix; oesophagus; colon and rectum; lung; prostate; and bladder). We placed particular emphasis on results from multivariate analyses to pinpoint situations in which the prognostic value of aneuploidy as a biomarker is strong compared with that of existing indicators, such as clinical stage, histological grade, and specific molecular markers. We summarize the implications of our findings for the prognostic use of ploidy analysis in the clinic and for the theoretical understanding of the role of CIN in carcinogenesis.

Economic evaluation of DNA ploidy analysis vs liquid-based cytology for cervical screening

Background:

DNA ploidy analysis involves automated quantification of chromosomal aneuploidy, a potential marker of progression toward cervical carcinoma. We evaluated the cost-effectiveness of this method for cervical screening, comparing five ploidy strategies (using different numbers of aneuploid cells as cut points) with liquid-based Papanicolaou smear and no screening.

Methods:

A state-transition Markov model simulated the natural history of HPV infection and possible progression into cervical neoplasia in a cohort of 12-year-old females. The analysis evaluated cost in 2012 US$ and effectiveness in quality-adjusted life-years (QALYs) from a health-system perspective throughout a lifetime horizon in the US setting. We calculated incremental cost-effectiveness ratios (ICERs) to determine the best strategy. The robustness of optimal choices was examined in deterministic and probabilistic sensitivity analyses.

Results:

In the base-case analysis, the ploidy 4 cell strategy was cost-effective, yielding an increase of 0.032 QALY and an ICER of $18 264/QALY compared to no screening. For most scenarios in the deterministic sensitivity analysis, the ploidy 4 cell strategy was the only cost-effective strategy. Cost-effectiveness acceptability curves showed that this strategy was more likely to be cost-effective than the Papanicolaou smear.

Conclusion:

Compared to the liquid-based Papanicolaou smear, screening with a DNA ploidy strategy appeared less costly and comparably effective.

DNA ploidy of cervical epithelial cells should be a cure criterion of high-risk HPV infection in Xinjiang Uygur women

Background

The Uygur women have the highest incidence of cervical cancer in all Chinese ethnic groups. The research was conducted to explore whether DNA ploidy could be the prognostic indicator of human papillomavirus (HPV) infection in Xinjiang Uygur women.

Methods

Case data and cervical exfoliated cell samples from 326 Uygur women. The DNA ploidy was analyzed by flow cytometry. The flow-through hybridization and gene chip (FHGC) for HPV type test then divided the cases into negative HPV group, non high-risk HPV infection group, single high-risk HPV infection group, and multiple high-risk HPV infection group. Lastly, 113 cases from 273 HPV infection cases were followed up.

Results

The 16-type HPV had the highest rate in all genotypes infection; 16/18-type HPV mixed infection was the most common type in multiple high-risk HPV infection group. Abnormal DNA ploidy happened along with the seriousness of HPV infection. Compared with the HPV negative group, DNA heteroploid appeared 12.750 times and 22.705 times, respectively, in single high-risk HPV and multiple high-risk HPV infection groups. Followed up 1 year later, the DNA index, S-phase cells’ peak percentage and heteroploid of cervical exfoliated cells significantly reduced in single and multiple high-risk HPV infection patients, but in nine patients negative HPV infection and DNA heteroploid still existed.

Conclusion

The finally cure criterion of high-risk HPV infection should include the negative HPV test and normal DNA ploidy analysis. It was useful to prevent and cure cervical lesions in Xinjiang Uygur women through high-risk HPV test and DNA ploidy analysis. The transient infection and persistent infection in Xinjiang Uygur women should be taken as further research.