Artificial-Intelligence-Assisted Detection of Metastatic Colorectal Cancer Cells in Ascitic Fluid.

Ascites cytology is a cost-effective test for metastatic colorectal cancer (CRC) in the abdominal cavity. However, metastatic carcinoma of the peritoneum is difficult to diagnose based on biopsy findings, and ascitic aspiration cytology has a low sensitivity and specificity and a high inter-observer variability. The aim of the present study was to apply artificial intelligence (AI) to classify benign and malignant cells in ascites cytology patch images of metastatic CRC using a deep convolutional neural network. Datasets were collected from The OPEN AI Dataset Project, a nationwide cytology dataset for AI research. The numbers of patch images used for training, validation, and testing were 56,560, 7068, and 6534, respectively. We evaluated 1041 patch images of benign and metastatic CRC in the ascitic fluid to compare the performance of pathologists and an AI algorithm, and to examine whether the diagnostic accuracy of pathologists improved with the assistance of AI. This AI method showed an accuracy, a sensitivity, and a specificity of 93.74%, 87.76%, and 99.75%, respectively, for the differential diagnosis of malignant and benign ascites. The diagnostic accuracy and sensitivity of the pathologist with the assistance of the proposed AI method increased from 86.8% to 90.5% and from 73.3% to 79.3%, respectively. The proposed deep learning method may assist pathologists with different levels of experience in diagnosing metastatic CRC cells of ascites.

Deep learning-based diagnosis of lung cancer using a nationwide respiratory cytology image set: improving accuracy and inter-observer variability.

Deep learning (DL)-based image analysis has recently seen widespread application in digital pathology. Recent studies utilizing DL in cytopathology have shown promising results, however, the development of DL models for respiratory specimens is limited. In this study, we designed a DL model to improve lung cancer diagnosis accuracy using cytological images from the respiratory tract. This retrospective, multicenter study used digital cytology images of respiratory specimens from a quality-controlled national dataset collected from over 200 institutions. The image processing involves generating extended z-stack images to reduce the phase difference of cell clusters, color normalizing, and cropping image patches to 256 × 256 pixels. The accuracy of diagnosing lung cancer in humans from image patches before and after receiving AI assistance was compared. 30,590 image patches (1,273 whole slide images [WSIs]) were divided into 27,362 (1,146 WSIs) for training, 2,928 (126 WSIs) for validation, and 1,272 (1,272 WSIs) for testing. The Densenet121 model, which showed the best performance among six convolutional neural network models, was used for analysis. The results of sensitivity, specificity, and accuracy were 95.9%, 98.2%, and 96.9% respectively, outperforming the average of three experienced pathologists. The accuracy of pathologists after receiving AI assistance improved from 82.9% to 95.9%, and the inter-rater agreement of Fleiss' Kappa value was improved from 0.553 to 0.908. In conclusion, this study demonstrated that a DL model was effective in diagnosing lung cancer in respiratory cytology. By increasing diagnostic accuracy and reducing inter-observer variability, AI has the potential to enhance the diagnostic capabilities of pathologists.

Excellent Outcomes in Children, Adolescents, and Young Adults with Ovarian Germ Cell Tumors Treated by Either Reduced- or Standard-Dose Bleomycin.

To investigate the outcomes of children, adolescents, and young adults (AYAs) with malignant ovarian germ cell tumors (MOGCTs), we analyzed the data of 61 patients aged ≤39 years diagnosed with MOGCT between 2006 and 2022. Among 59 patients who received chemotherapy after initial diagnosis, 57 received BEP (standard dose of bleomycin with 30 units per week, n = 13) or bEP (reduced dose of bleomycin with 15 units/m2 on day 1, n = 44). The 5-year overall survival (OS) and event-free survival (EFS) rates were 98.3% and 84.9%, respectively. Reduced bleomycin dose did not adversely affect survival. Normalization of tumor markers within 3 months after surgery was significantly associated with better EFS (p < 0.01). Of the 59 surviving patients, 8 experienced surgery-related menopause, while 49 demonstrated menstrual recovery. After completion of chemotherapy, there was no significant difference in pulmonary function regarding bleomycin dose, and no overt nephrotoxicity. Approximately 60% and 25% of survivors experienced peripheral neuropathy at the end of chemotherapy and after 1 year, respectively (p < 0.01). Children and AYAs with MOGCT have favorable survival rates with minimal long-term toxicity, which are not influenced by a reduced bleomycin dose. Rapid normalization of tumor markers is associated with improved outcomes.

Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model.

BACKGROUND: Breast cancer subtyping is a crucial step in determining therapeutic options, but the molecular examination based on immunohistochemical staining is expensive and time-consuming. Deep learning opens up the possibility to predict the subtypes based on the morphological information from hematoxylin and eosin staining, a much cheaper and faster alternative. However, training the predictive model conventionally requires a large number of histology images, which is challenging to collect by a single institute. OBJECTIVE: We aimed to develop a data-efficient computational pathology platform, 3DHistoNet, which is capable of learning from z-stacked histology images to accurately predict breast cancer subtypes with a small sample size. METHODS: We retrospectively examined 401 cases of patients with primary breast carcinoma diagnosed between 2018 and 2020 at the Department of Pathology, National Cancer Center, South Korea. Pathology slides of the patients with breast carcinoma were prepared according to the standard protocols. Age, gender, histologic grade, hormone receptor (estrogen receptor [ER], progesterone receptor [PR], and androgen receptor [AR]) status, erb-B2 receptor tyrosine kinase 2 (HER2) status, and Ki-67 index were evaluated by reviewing medical charts and pathological records. RESULTS: The area under the receiver operating characteristic curve and decision curve were analyzed to evaluate the performance of our 3DHistoNet platform for predicting the ER, PR, AR, HER2, and Ki67 subtype biomarkers with 5-fold cross-validation. We demonstrated that 3DHistoNet can predict all clinically important biomarkers (ER, PR, AR, HER2, and Ki67) with performance exceeding the conventional multiple instance learning models by a considerable margin (area under the receiver operating characteristic curve: 0.75-0.91 vs 0.67-0.8). We further showed that our z-stack histology scanning method can make up for insufficient training data sets without any additional cost incurred. Finally, 3DHistoNet offered an additional capability to generate attention maps that reveal correlations between Ki67 and histomorphological features, which renders the hematoxylin and eosin image in higher fidelity to the pathologist. CONCLUSIONS: Our stand-alone, data-efficient pathology platform that can both generate z-stacked images and predict key biomarkers is an appealing tool for breast cancer diagnosis. Its development would encourage morphology-based diagnosis, which is faster, cheaper, and less error-prone compared to the protein quantification method based on immunohistochemical staining.

Deep Learning-Based Computational Cytopathologic Diagnosis of Metastatic Breast Carcinoma in Pleural Fluid.

A Pleural effusion cytology is vital for treating metastatic breast cancer; however, concerns have arisen regarding the low accuracy and inter-observer variability in cytologic diagnosis. Although artificial intelligence-based image analysis has shown promise in cytopathology research, its application in diagnosing breast cancer in pleural fluid remains unexplored. To overcome these limitations, we evaluate the diagnostic accuracy of an artificial intelligence-based model using a large collection of cytopathological slides, to detect the malignant pleural effusion cytology associated with breast cancer. This study includes a total of 569 cytological slides of malignant pleural effusion of metastatic breast cancer from various institutions. We extracted 34,221 augmented image patches from whole-slide images and trained and validated a deep convolutional neural network model (DCNN) (Inception-ResNet-V2) with the images. Using this model, we classified 845 randomly selected patches, which were reviewed by three pathologists to compare their accuracy. The DCNN model outperforms the pathologists by demonstrating higher accuracy, sensitivity, and specificity compared to the pathologists (81.1% vs. 68.7%, 95.0% vs. 72.5%, and 98.6% vs. 88.9%, respectively). The pathologists reviewed the discordant cases of DCNN. After re-examination, the average accuracy, sensitivity, and specificity of the pathologists improved to 87.9, 80.2, and 95.7%, respectively. This study shows that DCNN can accurately diagnose malignant pleural effusion cytology in breast cancer and has the potential to support pathologists.

Randomized multicenter phase II trial of prophylactic irradiation of para-aortic lymph nodes in advanced cervical cancer according to tumor hypoxia: Korean Radiation Oncology Group (KROG 07-01) study.

We conducted a prospective phase II study on whether extended-field irradiation (EFI) confers survival benefits depending on hypoxic markers in locally advanced uterine cervical cancer (LAUCC). RNA-seq was performed to identify immune and hypoxic gene signatures. A total of 288 patients were randomized to either EFI or pelvic radiotherapy (PRT). All patients completed chemoradiotherapy. Overall, significantly higher 5-year para-aortic recurrence free survival (PARFS) rate occurred in EFI (97.6%) than in PRT group (87.2%), with marginal tendency to improve disease-free survival (DFS; 78% vs 70%, P = .066). Subgroup analyses were performed based on carbonic anhydrase 9 (CA9)-only positive, CA9/hypoxia-inducible factor (HIF) double positive and CA9 negative. In the CA9-only positive, EFI successfully increased 5-year PARFS (100% vs 76.4%, P = .010), resulting in significantly improved long-term DFS (85.7% vs 54.7%, P = .023) compared to the PRT, while there was no such benefit of EFI in the CA9/HIFs double positive. RNA-seq analysis identified distinct immunehigh subgroup with negative correlation with hypoxia gene signatures (R = -.37, P < .01), which showed a higher 5-year DFS than the immunelow (P = .032). Hypoxia-related genes were upregulated in the CA9/HIFs double positive compared to CA9 negative (P < .05). Only 17.4% of patients in CA9-negative group showed immunelow signatures, while 40.0% of patients in the double-positive group exhibited immunelow signatures. In conclusion, EFI improved PARFS significantly in all patients, but therapeutic efficacy of EFI in terms of improved DFS was solely observed in CA9-only positive LAUCC, and not in CA9/HIFs double-positive subgroup. RNA-seq analysis suggested that hypoxia-induced immunosuppression may be related to treatment resistance in LAUCC.

Survival After Hyperthermic Intraperitoneal Chemotherapy and Primary or Interval Cytoreductive Surgery in Ovarian Cancer: A Randomized Clinical Trial.

Importance: Ovarian cancer has the highest mortality rate among gynecologic malignant tumors. Data are lacking on the survival benefit of hyperthermic intraperitoneal chemotherapy (HIPEC) in women with ovarian cancer who underwent primary or interval cytoreductive surgery. Objective: To assess the clinical benefit of HIPEC after primary or interval maximal cytoreductive surgery in women with stage III or IV primary advanced ovarian cancer. Design, Setting, and Participants: In this single-blind randomized clinical trial performed at 2 institutions in South Korea from March 2, 2010, to January 22, 2016, a total of 184 patients with stage III or IV ovarian cancer with residual tumor size less than 1 cm were randomized (1:1) to a HIPEC (41.5 °C, 75 mg/m2 of cisplatin, 90 minutes) or control group. The primary end point was progression-free survival. Overall survival and adverse events were key secondary end points. The date of the last follow-up was January 10, 2020, and the data were locked on February 17, 2020. Exposures: Hyperthermic intraperitoneal chemotherapy after cytoreductive surgery. Main Outcomes and Measures: Progression-free and overall survival. Results: Of the 184 Korean women who underwent randomization, 92 were randomized to the HIPEC group (median age, 52.0 years; IQR, 46.0-59.5 years) and 92 to the control group (median age, 53.5 years; IQR, 47.5-61.0 years). After a median follow-up of 69.4 months (IQR, 54.4-86.3 months), median progression-free survival was 18.8 months (IQR, 13.0-43.2 months) in the control group and 19.8 months (IQR, 13.7-55.4 months) in the HIPEC group (P = .43), and median overall survival was 61.3 months (IQR, 34.3 months to not reported) in the control group and 69.5 months (IQR, 45.6 months to not reported) in the HIPEC group (P = .52). In the subgroup of interval cytoreductive surgery after neoadjuvant chemotherapy, the median progression-free survival was 15.4 months (IQR, 10.6-21.1 months) in the control group and 17.4 months (IQR, 13.8-31.5 months) in the HIPEC group (hazard ratio for disease progression or death, 0.60; 95% CI, 0.37-0.99; P = .04), and the median overall survival was 48.2 months (IQR, 33.8-61.3 months) in the control group and 61.8 months (IQR, 46.7 months to not reported) in the HIPEC group (hazard ratio, 0.53; 95% CI, 0.29-0.96; P = .04). In the subgroup of primary cytoreductive surgery, median progression-free survival was 29.7 (IQR, 17.2-90.1 months) in the control group and 23.9 months (IQR, 12.3-71.5 months) in the HIPEC group, and the median overall survival was not reached in the control group and 71.3 months (IQR, 45.6 months to not reported) in the HIPEC group. Conclusions and Relevance: The addition of HIPEC to cytoreductive surgery did not improve progression-free and overall survival in patients with advanced epithelial ovarian cancer. Although the results are from a subgroup analysis, the addition of HIPEC to interval cytoreductive surgery provided an improvement of progression-free and overall survival. Trial Registration: ClinicalTrials.gov Identifier: NCT01091636.

Incidence and treatment outcomes of ovarian sarcoma compared to epithelial ovarian cancer from the national cancer registry.

PURPOSE: To investigate the incidence and survival outcomes of primary ovarian sarcoma compared to those of epithelial ovarian cancer. METHODS: Data on primary ovarian sarcoma patients (n = 1361) and epithelial ovarian cancer patients (n = 30,366) between 1999 and 2017 were obtained from the Korea Central Cancer Registry, and their respective age-standardized incidence rate (ASR) and relative survival rate were calculated and compared. RESULTS: Based on the ASR, the incidence of epithelial ovarian cancer was 4.75 per 100,000 women, while that of primary ovarian sarcoma was 0.22 per 100,000 women. The ASR ratio was 21.94 without significant change of ASR during the study period. Primary ovarian sarcoma had a better survival curve compared with epithelial ovarian cancer, though the difference was not statistically significant (5 yr overall survival 64.0% vs. 61.5%; p = 0.6030). In addition, among the pure sarcomas, the fibrosarcoma histologic subtype showed the best overall survival, and that of liposarcomas and stromal cell sarcoma were behind that (5 yr overall survival 85.0%, 76.7%, and 72.7%; p < 0.0001). CONCLUSIONS: The incidence of primary ovarian sarcoma is quite low, with an ASR of 0.22/100,000 during the last 20 years. There were no significant differences between survival rates of primary ovarian sarcoma and epithelial ovarian cancer.

Glycolytic phenotypes in an evaluation of ovarian carcinoma based on carcinogenesis and BRCA mutation.

BACKGROUNDS: Recently, a dualistic carcinogenesis model of ovarian cancer has emerged. We aimed to investigate differences in the glycolytic phenotypes of type I and type II ovarian carcinoma on the basis of FDG uptake and in the pathological features according to tumour grade and histology. MATERIALS AND METHODS: In total, 386 epithelial ovarian carcinoma patients underwent debulking surgery, and the histopathological results of the patients were retrospectively reviewed from 2003 to 2017. Among these patients, 170 patients had histopathological data that were available due to primary cytoreductive surgery and could be analysed regarding FDG avidity in type I and type II ovarian cancer. The FDG uptake of the tumour (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were analysed according to the tumour grade, histology and type of ovarian carcinogenesis (type I and II) and prognosis. RESULTS: Among the 386 patients, there was a significant difference in SUVmax among ovarian cancer subtypes. There was a significant increase in SUVmax as the tumour grade increased (8.08 ±â€¯0.63, 10.5 ±â€¯0.40, and 12.7 ±â€¯0.38 for grades I, II and III, respectively, Kruskal-Wallis test, p < 0.0001). Among the 90 type I and 80 type II ovarian carcinoma patients, there was a significant difference in SUVmax (type I and II, 9.47 ±â€¯0.54 and 12.97 ±â€¯0.70, respectively, Mann-Whitney test, p = 0.0003). However, no significant change in SUVmax was observed between BRCA-positive and BRCA-negative patients (N = 80, 13.8 ±â€¯5.78 and 12.4 ±â€¯6.30, Student's t-test, p = 0.3075). Among clinicopathologic and metabolic parameters, type of ovarian cancer, MTV and CA125 were significant factors in the prediction of recurrence. CONCLUSIONS: The glycolytic phenotype was related to tumour grade and histological subtype, with significant differences between type I and II ovarian cancer. SUVmax of the ovarian cancer would be considered in the differentiation of type I and II ovarian cancer.

Incidence trends for epithelial peritoneal, ovarian, and fallopian tube cancer during 1999-2016: a retrospective study based on the Korean National Cancer Incidence Database.

OBJECTIVE: Primary peritoneal cancer (PPC), ovarian cancer (OC), and fallopian tube cancer (FTC) are considered as a single disease group. As knowledge of the pathogenesis and clinical presentation of peritoneal, ovarian, and fallopian tube (POFT) cancer grows, the tendencies in OC diagnosis are changing. We investigate the incidence and clinical characteristics of epithelial POFT based on cancer site and histologic type. METHODS: Data from the Korea Central Cancer Registry for the period between 1999 and 2016 were analyzed. The incidence rates and annual percent changes (APCs) for each tumor site were reported. RESULTS: Among 27,768 women with cancer, 1,086 (3.91%) had PPC, 25,847 (93.08%) had OC, and 835 (3.01%) had FTC. Age-standardized rates increased from 0.05 to 0.24, 3.51 to 5.48, and 0.04 to 0.28 in PPC, OC, and FTC, respectively. The proportion of PPC and FTC among all the POFT cases increased consistently during the study period (from, respectively, 1.48 and 1.06 in 1999 to 4.52 and 4.76 in 2016). The APC of PPC, OC, and FTC during 1999-2016 was 9.3%, 2.7%, and 8.6%, respectively. The incidence of PPC, OC, and FTC was highest among patients in the 65-69, 50-54, and 55-59 years age group, respectively. CONCLUSION: The overall incidence of PPC, OC, and FTC cancer has steadily increased. The relative increase of PPC and FTC has been significant. In this study, OC incidence had a relatively young peak age, in contrast to FTC and PPC, which had an older peak age.

Current Status of and Perspectives on Cervical Cancer Screening in Korea.

Since the introduction of the Papanicolaou (Pap) smear system in 1943, cervicovaginal cytology has been used as a standard screening test for cervical cancer. The dissemination of this test contributed to reductions of the incidence and mortality of cervical cancer worldwide. In Korea, regular health check-ups for industrial workers and their family members were introduced in 1988 and were performed as part of the National Cancer Screening Program in 1999. As a result, the incidence of cervical cancer in Korea has been steadily decreasing. However, about 800 cases of cervical cancer-related deaths are reported each year due to false-negative test results. Hence, new screening methods have been proposed. Liquid-based cytology (LBC) was introduced in 1996 to overcome the limitations of conventional Pap smears. Since then, other LBC methods have been developed and utilized, including the human papilloma virus test-a method with higher sensitivity that requires fewer screenings. In this study, we review current issues and future perspectives related to cervical cancer screening in Korea.

PLAG1, SOX10, and Myb Expression in Benign and Malignant Salivary Gland Neoplasms.

BACKGROUND: Recent findings in molecular pathology suggest that genetic translocation and/oroverexpression of oncoproteins is important in salivary gland tumorigenesis and diagnosis. Weinvestigated PLAG1, SOX10, and Myb protein expression in various salivary gland neoplasm tissues. METHODS: A total of 113 cases of surgically resected salivary gland neoplasms at the NationalCancer Center from January 2007 to March 2017 were identified. Immunohistochemical stainingof PLAG1, SOX10, and Myb in tissue samples was performed using tissue microarrays. RESULTS: Among the 113 cases, 82 (72.6%) were benign and 31 (27.4%) were malignant. PLAG1 showednuclear staining and normal parotid gland was not stained. Among 48 cases of pleomorphicadenoma, 29 (60.4%) were positive for PLAG1. All other benign and malignant salivary glandneoplasms were PLAG1-negative. SOX10 showed nuclear staining. In normal salivary gland tissuesSOX10 was expressed in cells of acinus and intercalated ducts. In benign tumors, SOX10 expressionwas observed in all pleomorphic adenoma (48/48), and basal cell adenoma (3/3), but not inother benign tumors. SOX10 positivity was observed in nine of 31 (29.0%) malignant tumors.Myb showed nuclear staining but was not detected in normal parotid glands. Four of 31 (12.9%)malignant tumors showed Myb positivity: three adenoid cystic carcinomas (AdCC) and onemyoepithelial carcinoma with focal AdCC-like histology. CONCLUSIONS: PLAG1 expression is specificto pleomorphic adenoma. SOX10 expression is helpful to rule out excretory duct origin tumor,but its diagnostic value is relatively low. Myb is useful for diagnosing AdCC when histology isunclear in the surgical specimen.

Second primary cancer after primary peritoneal, epithelial ovarian, and fallopian tubal cancer: a retrospective study.

BACKGROUND: In this retrospective study, data from patients listed in the Korea Central Cancer Registry during 1993-2014 were analysed, to investigate the incidence and survival of second primary cancers (SPCs) after a diagnosis of primary peritoneal, epithelial ovarian, and fallopian tubal (POFT) cancer. METHODS: The standardised incidence ratio (SIR) and survival outcomes of patients with SPCs among POFT cancer survivors were analysed. RESULTS: Among 20,738 POFT cancer survivors, 798 (3.84%) developed SPCs, at an average interval of 5.50 years. SPC risk in POFT survivors (SIR, 1.29) was higher compared to the general population. The most high-risk type of SPC was leukaemia (3.07) followed by the lung and bronchus (1.80), colon (1.58), rectum and rectosigmoid junction (1.42), thyroid (1.34), and breast (1.26). In women aged < 60 years, cancer of the breast (1.30), ascending colon (2.26), and transverse colon (4.07) as SPCs increased. Up to 10 years after POFT cancer treatment, leukaemia risk increased, especially in those < 60 years, with serous histology, and with distant stage, which required aggressive chemotherapy. The median overall survival time was 12.8 years and 14.3 years in women with POFT cancer and SPCs, respectively. Thyroid and breast cancers were favourable prognostic markers among SPCs. CONCLUSIONS: The overall SPC risk increases in POFT cancer survivors, especially in those < 60 years. The cancer risk of breast and the proximal colon increase based on hereditary predisposition, while leukaemia likely develops from aggressive treatment. The median overall survival is favourable in POFT cancer survivors with SPCs.

Desmoplastic melanoma of the oral cavity: diagnostic pitfalls and clinical characteristics.

OBJECTIVES: Desmoplastic melanoma of the oral cavity is an extremely rare condition that is often confused on initial diagnosis with non-melanotic benign lesion or spindle cell tumors. The purpose of this article was to raise awareness of the disease using a literature review. MATERIALS AND METHODS: We analyzed 19 desmoplastic melanoma cases reported in the literature and added our experience. Data on clinical, histopathology, treatment, and survival were retrieved and analyzed. Survival analysis was by the Kaplan-Meier method. RESULTS: Initial clinical and histopathological features were indistinctive, and a definite diagnosis of desmoplastic melanoma at initial assessment was possible in only 23.5% of cases. Among tests, immunohistochemical studies for S-100 and vimentin were all positive. The 5-year disease-free survival rate for oral desmoplastic melanoma was 0%, and the 5-year overall survival rate was 55.0%. CONCLUSION: Oral desmoplastic melanoma has a high percentage of initial misdiagnosis and propensity for local recurrence. Thus, careful initial diagnosis and adequate surgery may result in improved overall survival.

Second primary colorectal cancer among endometrial cancer survivor: shared etiology and treatment sequelae.

PURPOSE: To evaluate the incidence of colon cancer as a second primary cancer (CCSPC) and the survival outcomes of women with and without CCSPC after the diagnosis of endometrial cancer (EC). METHODS: The standardized incidence ratio (SIR) of CCSPC and survival outcomes of EC survivors with and without CCSPC were analyzed using data from January 1 1993 to December 31 2011, obtained from the Korea Central Cancer Registry. RESULTS: Of 14,797 EC survivors, 147 (0.99%) developed CCSPC after an average interval of 5.5 years. The SIR of CCSPC among EC survivors was 2.56, higher than that of colon cancer in the general population. The SIR of CCSPC was highest for the ascending (3.77), followed by the transverse (3.45), descending colon (2.06), and rectum (1.99). The risk of a proximal site of CCSPC was high, especially within 5 years after the diagnosis of EC in the ascending (SIR, 4.37) and transverse (4.91) colon, and in young survivors (< 60 years) in the ascending (5.19) and transverse (3.82) colon. The 5- and 10-year overall survival rates were 84.8 and 80.4% among survivors with EC only and 89.2 and 76.3% for survivors with CCSPC, respectively. CONCLUSIONS: The risk of CCSPC among EC survivors increases especially in the proximal colon in young survivors. These results could be used for surveillance and counseling of EC survivors.

Association of PD-L1 Expression with Tumor-Infiltrating Immune Cells and Mutation Burden in High-Grade Neuroendocrine Carcinoma of the Lung.

INTRODUCTION: The immune microenvironment of high-grade neuroendocrine carcinoma of the lung, including programmed death ligand 1 (PD-L1) expression, has not been well characterized. METHODS: On the basis of immunohistochemistry (IHC) results, PD-L1 expression on tumor cells (TCs) and tumor-infiltrating immune cells (ICs) was scored as follows: TC0 and IC0 were defined as PD-L1 expression less than 1%, TC1 and IC1 as at least 1% but less than 10%, TC2 and IC2 as 10% or more but less than 50%, and TC3 and IC3 as 50% or more. Phosphatase and tensin homolog (PTEN) IHC was scored as either lost or retained expression. The Ion AmpliSeq Comprehensive Cancer Panel (ThermoFisher Scientific, Waltham, MA) was used to identify mutations in all coding exons of 409 cancer-related genes. RESULTS: A total of 192 patients with large cell neuroendocrine carcinoma (LCNEC) (n = 72) and SCLC (n = 120) were studied. The prevalence of PD-L1 expression on TCs was 15.1% (29 of 192). IC infiltration and PD-L1 expression on ICs were observed in 34.4% of patients (66 of 192) and 31.3% of patients (60 of 192), respectively. The prevalence of IC infiltration and PD-L1 expression on IC were more strongly correlated with LCNEC than with SCLC (57.6% versus 23.3%, p < 0.01; 45.8% versus 22.5%, p < 0.01) and high nonsynonymous mutations (p = 0.05 and .04). PTEN loss was found in 9.5% of patients (18 of 189) and showed no correlation with PD-L1 expression. Progression-free survival was better in patients with IC infiltration than in those without IC infiltration (median 11.3 versus 6.8 months [p < 0.01]) and in patients with PD-L1 expression of IC1/2/3 than in those with expression of IC0 (median 11.3 versus 7.0 months [p = 0.03]). CONCLUSION: These findings suggest that the PD-1/PD-L1 pathway is activated in the microenvironment of pulmonary high-grade neuroendocrine carcinoma and correlated with a higher mutation burden.

Integration Pattern of Human Papillomavirus Is a Strong Prognostic Factor for Disease-Free Survival After Radiation Therapy in Cervical Cancer Patients.

PURPOSE: The standard chemoradiation therapy currently used for locally advanced cervical cancer (LACC) patients does not reflect the biological heterogeneity of this disease, and there is an increasing need for the development of biomarkers that can help guide the individualized treatment regimens. The purpose of this study was to investigate the prognostic value of the integration pattern of human papillomavirus (HPV) in LACC patients. METHODS AND MATERIALS: The HPV integration pattern was determined by in situ hybridization and polymerase chain reaction, and the tumors were classified as the episomal pattern (group A), as the single-copy integrated or multicopy tandem repetition-integrated pattern (group B), or as undetectable HPV (group C). Ninety-eight LACC patients were included in a development dataset and 106 independent patients in a validation dataset. The multivariate Cox model was used to examine the effect of the HPV integration pattern on disease-free survival (DFS). The model was validated internally by the leave-one-out cross-validation method and externally by an independent dataset. RESULTS: After adjustment for significant prognostic factors (stage, histologic grade, histologic type, and tumor size), the HPV integration pattern was significantly associated with DFS in the development (P=.032) and validation (P=.023) datasets. Survival was worst in group C and best in group A. The multivariate model with HPV integration pattern as an explanatory variable showed good discrimination ability and could separate patients with different risk profiles. CONCLUSIONS: This study identified the HPV integration pattern, as determined by in situ hybridization and polymerase chain reaction, as a strong prognostic biomarker for DFS in LACC patients treated by chemoradiation therapy. This finding may open the possibility of personalized treatment of these patients.

Survival outcomes after extensive cytoreductive surgery and selective neoadjuvant chemotherapy according to institutional criteria in bulky stage IIIC and IV epithelial ovarian cancer.

OBJECTIVE: To investigate the survival outcomes in patients with bulky stage IIIC and IV ovarian cancer, treated by primary debulking surgery (PDS) and selective use of neoadjuvant chemotherapy (NAC) according to institutional criteria. METHODS: Medical records for advanced ovarian cancer patients who were treated at National Cancer Center (NCC) between December 2000 and March 2009 were retrospectively reviewed in the comprehensive cancer center. Bulky stage IIIC and IV ovarian cancer cases were included. Current NCC indication for NAC is determined based on patients' performance status and/or computerized tomography (CT) findings indicating difficult cytoreduction. After NAC, all traces of regressed metastatic ovarian cancer, potentially including chemotherapy-resistant cancer cells, were surgically removed. RESULTS: Of the 279 patients with bulky stage IIIC and IV, 143 (51%) underwent PDS and 136 (49%) received NAC. No gross residual and residual tumor measuring ≤1 cm was achieved in 66% and 96% of the PDS group and 79% and 96% of the NAC group, respectively. The median progression-free survival (PFS) and overall survival (OS) time were 20 months and not reached, but might be estimated more than 70 months in the PDS group and 15 and 70 months in the NAC group, respectively. CONCLUSION: Extensive cytoreductive surgery to minimize residual tumor and selective use of NAC based on the institutional criteria could result in improved survival outcomes. Until further studies can be done to define the selection criteria for NAC after surgery, institutional criteria for NAC should consider the ability of the surgeon and institutional capacity.

Comparison of the Abbott RealTime High Risk HPV test and the Roche cobas 4800 HPV test using urine samples.

BACKGROUND: Human papillomavirus (HPV) testing based on cervical samples is important for use in cervical cancer screening. However, cervical sampling is invasive. Therefore, non-invasive methods for detecting HPV, such as urine samples, are needed. OBJECTIVES: For HPV detection in urine samples, two real-time PCR (RQ-PCR) tests, Roche cobas 4800 test (Roche_HPV; Roche Molecular Diagnostics) and Abbott RealTime High Risk HPV test (Abbott_HPV; Abbott Laboratories) were compared to standard cervical samples. STUDY DESIGN: The performance of Roche_HPV and Abbott_HPV for HPV detection was evaluated at the National Cancer Center using 100 paired cervical and urine samples. The tests were also compared using urine samples stored at various temperatures and for a range of durations. RESULTS: The overall agreement between the Roche_HPV and Abbott_HPV tests using urine samples for any hrHPV type was substantial (86.0% with a kappa value of 0.7173), and that for HPV 16/18 was nearly perfect (99.0% with a kappa value of 0.9668). The relative sensitivities (based on cervical samples) for HPV 16/18 detection using Roche_HPV and Abbott_HPV with urine samples were 79.2% (95% CI; 57.9-92.9%) and 81.8% (95% CI; 59.7-94.8%), respectively. When the cut-off CT value for Abbott_HPV was extended to 40 for urine samples, the relative sensitivity of Abbott_HPV increased to 91.7% from 81.8% for HPV16/18 detection and to 87.0% from 68.5% for other hrHPV detection. The specificity was not affected by the change in the CT threshold. CONCLUSIONS: Roche_HPV and Abbott_HPV showed high concordance. However, HPV DNA detection using urine samples was inferior to HPV DNA detection using cervical samples. Interestingly, when the cut-off CT value was set to 40, Abbott_HPV using urine samples showed high sensitivity and specificity, comparable to those obtained using cervical samples. Fully automated DNA extraction and detection systems, such as Roche_HPV and Abbott_HPV, could reduce the variability in HPV detection and accelerate the standardization of HPV detection in urine. Thus, urine samples may be an effective alternative for HPV detection in women who hesitate to participate in cervical cancer screening programs.