Association of Genetic Alterations with Prognosis in Extramammary Paget's Disease: Insights into the Involvement of somatic CDKN2A variants in Poor Prognosis.

BACKGROUND: Previous studies reported the mutational landscape in extramammary Paget's disease (EMPD); however, the prognostic implications of genetic alterations remain unexplored. While CDKN2A loss is known to be associated with tumor progression or poor prognosis in some types of cancer, its significance in EMPD has not been investigated. OBJECTIVES: To examine the association between common genetic alterations and prognosis in EMPD. METHODS: This is a retrospective cohort study analyzing EMPD cases registered until January 2024 in the Center for Cancer Genomics and Advanced Therapeutics database, which is a nationwide database recording clinical data and comprehensive genomic profiling (CGP) test results in Japan. RESULTS: A total of 167 cases were recorded in the database, with CDKN2A loss being the most frequent genetic variant. Survival analysis was conducted on 127 cases. Survival from chemotherapy initiation was analyzed with adjusting for length bias inherent in the database using the Kaplan-Meier estimator, an established adjustment method. Cases with BRCA2-mutant tumors (n=18) had a worse prognosis than those with BRCA2-wild-type tumors (n=109; HR=2.97, 95% CI 1.46-6.01, p=0.003). Additionally, CDKN2A-mutant group (n=72) had a significantly worse prognosis than those with CDKN2A-wild-type group (n=55; HR=1.81, 95% CI 1.06-3.07, p=0.029). Most CDKN2A variants were pathogenic, primarily characterized by loss, while most BRCA2 variants were variants of uncertain significance. In the analysis of survival from CGP enrollment based on Eastern Cooperative Oncology Group performance status (ECOG-PS), cases with ECOG-PS 1 at the time of CGP enrollment had significantly poorer prognosis than those with ECOG-PS 0 (p=0.034; median survival time, 531 vs. 259 days). CONCLUSIONS: Somatic CDKN2A variant, mainly exhibiting loss, may be associated with poor prognosis in EMPD. Cases with BRCA2-mutant cancer might also have a worse prognosis in EMPD. In addition, CGP testing before PS deteriorates is preferable, considering the observed median survival of individuals undergoing CGP tests in an ECOG-PS-1 condition was less than 9 months.

Extramammary Paget's Disease (EMPD) is a relatively rare skin cancer that typically appears in genital area. As a result, little is known about the association between genetic changes and prognosis for people diagnosed with this condition. This study was conducted in Japan using a national database. This database included people who had undergone comprehensive genomic profiling tests to examine genetic changes in their cancer. We aimed to explore the relationship between specific genetic changes and the prognosis of EMPD cases. To do this, we analyzed 167 cases from the database, focusing on 127 people for whom survival data was available. Our main goal was to see how genetic alterations might impact patient survival. In our cohort, a gene called 'CDKN2A' was most frequently altered (56%), and we found that changes to CDKN2A (such as loss) was linked to poorer prognosis. Similarly, cases with changes to a gene called 'BRCA2' were also associated with a poorer prognosis. We further noted that earlier testing for genetic changes could lead to better treatment planning and outcomes. In conclusion, identifying CDKN2A genetic changes in EMPD may be related to poor prognosis. These novel findings may help doctors create more personalized treatment plans for people with EMPD. Understanding these genetic factors also opens new research opportunities in EMPD.

Integrated genomic/epigenomic analysis stratifies subtypes of clear cell ovarian carcinoma, highlighting their cellular origin.

The cellular origin of clear cell ovarian carcinoma (CCOC), a major histological subtype of ovarian carcinoma remains elusive. Here, we explored the candidate cellular origin and identify molecular subtypes using integrated genomic/epigenomic analysis. We performed whole exome-sequencing, microarray, and DNA methylation array in 78 CCOC samples according to the original diagnosis. The findings revealed that ARID1A and/or PIK3CA mutations were mutually exclusive with DNA repair related genes, including TP53, BRCA1, and ATM. Clustering of CCOC and other ovarian carcinomas (n = 270) with normal tissues from the fallopian tube, ovarian surface epithelium, endometrial epithelium, and pelvic peritoneum mesothelium (PPM) in a methylation array showed that major CCOC subtypes (with ARID1A and/or PIK3CA mutations) were associated with the PPM-lile cluster (n = 64). This cluster was sub-divided into three clusters: (1) mismatch repair (MMR) deficient with tumor mutational burden-high (n = 2), (2) alteration of ARID1A (n = 51), and (3) ARID1A wild-type (n = 11). The remaining samples (n = 14) were subdivided into (4) ovarian surface epithelium-like (n = 11) and (5) fallopian tube-like (considered as high-grade serous histotype; n = 3). Among these, subtypes (1-3) and others (4 and 5) were found to be associated with immunoreactive signatures and epithelial-mesenchymal transition, respectively. These results contribute to the stratification of CCOC into biological subtypes.

Molecular analysis of non-small cell lung cancer using a dual-targeted DNA and RNA comprehensive genomic profiling panel.

BACKGROUND: Comprehensive cancer genomic profiling tests have recently been used clinically to guide optimal treatment. Currently approved tests use DNA from tissue or plasma samples to analyze a few hundred genes. RNA panels complement DNA panels to detect fusion and exon skipping. METHODS: Between April 2017 and March 2022, we analyzed non-small cell lung cancer samples using Todai OncoPanel, a matched tumor/normal pair panel targeting both DNA and RNA. Publicly available genomic data was downloaded from the Center for Cancer Genomics and Advanced Therapeutics database on 2022/11/3. RESULTS: Sixty non-small cell lung cancer (NSCLC) samples were analyzed. With the DNA panel, 32 samples (53%) had TP53 loss-of-function mutations. Among adenocarcinoma, 17 (33%) had EGFR activating mutations, and 6 (12%) had ERBB2 activating mutations. One BRCA1 and one BRCA2 pathogenic germline variant were also detected. With the RNA panel, 11 fusion genes were detected, all in adenocarcinoma. Specifically, EML4-ALK and KIF5B-RET were detected from one sample each, and 9 others were all novel fusions with unknown pathogenicity. In addition, 4 of 60 (7%) NSCLC samples harbored MET exon 14 skipping. Analysis of the Center for Cancer Genomics and Advanced Therapeutics database found 37 MET exon 14 splice site mutations in 1514 NSCLC samples (2%, p = 0.039). CONCLUSIONS: Analysis of NSCLC with Todai OncoPanel detected many druggable targets. Its RNA panel may detect MET exon 14 skipping with high sensitivity.

Comprehensive genomic profiling from C-CAT database unveiled over 80% presence of oncogenic drivers in anaplastic thyroid carcinoma including BRAF, RAS family, NF1, and FGFR1.

OBJECTIVE: Anaplastic thyroid carcinoma (ATC) is considered a very aggressive carcinoma and has been difficult to treat with therapeutic strategies. This study examines the landscape of genomic alteration in ATC, including the BRAF V600E mutation, and its clinical implications. DESIGN, PATIENTS AND MESUREMENT: A retrospective observational study was conducted using collected at the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) in Japan, utilizing comprehensive genomic profiling data from 102 ATC cases. Additionally, AACR-GENIE data from 267 cases were analysed for validation. Statistical methods, including the conditional Kendall tau statistic and χ2 tests, were employed for survival analysis and gene mutation comparisons. RESULTS: Among 102 ATCs, BRAF, RAS, and other driver mutations were found in 83 cases (81.2%). The prevalence of BRAF V600E mutations was as high as 60%. Co-mutation analysis identified different genomic profiles in the BRAF, RAS, and wild-type groups. Despite the diverse molecular backgrounds, no significant differences in clinical variables and overall survival were observed. The analysis considering left-side amputation suggested that RAS mutations had a poorer prognosis. In the BRAF/RAS wild-type group, FGFR1 and NF1 were identified as driver mutations, with an accumulation of copy number variations and less TERT promoter mutations. This molecular subgrouping was also supported by the AACR-GENIE data. CONCLUSIONS: Comprehensive genomic analysis of ATC in Japan revealed distinct molecular subgroups, highlighting the importance of BRAF V600E mutations, particularly V600E, as potential therapeutic targets and suggest the relevance of tailor-made therapeutic strategies based on genomic profiling.

Clinical genomic profiling of malignant giant cell tumor of bone: A retrospective analysis using a real­world database.

Malignant giant cell tumor of bone (GCTB) is identified by the presence of multinucleated giant cells, with an aggressive behavior and a high risk of metastasis, which has not been genetically characterized in detail. H3 histone family member 3A (H3F3A) gene mutations are highly recurrent and specific in GCTB. The present study analyzed the clinical information and genomic sequencing data of eight cases of malignant GCTB (out of 384 bone sarcoma samples) using an anonymized genomic database. There were 5 males and 3 females among the cases, with a median age of 33 years at the time of the initial diagnosis. H3F3A G34W and G34L mutations were detected in 3 patients and 1 patient, respectively. In 75% of cases without H3F3A mutation, mitogen-activated protein kinase (MAPK) signaling pathway gene alterations were found (KRAS single nucleotide variant, KRAS amplification, nuclear respiratory factor 1-BRAF fusion). Moreover, the collagen type I alpha 2 chain-ALK fusion was detected in remaining one case. The most frequent gene alterations were related to cell cycle regulators, including TP53, RB1, cyclin-dependent kinase inhibitor 2A/B and cyclin E1 (75%, 6 of 8 cases). On the whole, the present study discovered recurrent MAPK signaling gene alterations or other gene alterations in cases of malignant GCTB. Of note, two fusion genes should be carefully validated following the pathology re-review by sarcoma pathologists. These two fusion genes may be detected in resembling tumors, which contain giant cells, apart from malignant GCTB. The real-world data used herein provide a unique perspective on genomic alterations in clinicopathologically diagnosed malignant GCTB.

Analysis of quality metrics in comprehensive cancer genomic profiling using a dual DNA-RNA panel.

Background: The nucleic acid quality from formalin-fixed paraffin-embedded (FFPE) tumor vary among samples, resulting in substantial variability in the quality of comprehensive cancer genomic profiling tests. The objective of the study is to investigate how nucleic acid quality affects sequencing quality. We also examined the variations in nucleic acid quality among different hospitals or cancer types. Methods: Three nucleic acid quality metrics (ddCq, Q-value, and DV200) and five sequencing quality metrics (on-target rate, mean depth, coverage uniformity, target exon coverage, and coverage of the housekeeping gene) were examined using 585 samples from the Todai OncoPanel, a dual DNA-RNA panel. Results: In the DNA panel, ddCq served as an indicator of sequencing depth and Q-value reflected the uniformity of sequencing across different regions. It was essential to have favorable values not only for ddCq but also for Q-value to obtain ideal sequencing results. For the RNA panel, DV200 proved to be a valuable metric for assessing the coverage of the housekeeping genes. Significant inter-hospital differences were observed for DNA quality (ddCq and Q-value), but not for RNA quality (DV200). Differences were also observed among cancer types, with Q-value being the lowest in lung and the highest in cervix, while DV200 was the highest in lung and the lowest in bowel. Conclusions: We demonstrated distinct characteristics and high predictive performances of ddCq, Q-value, and DV200. Variations were observed in the nucleic acid quality across hospitals and cancer types. Further study is warranted on preanalytical factors in comprehensive cancer genomic profiling tests.

Inhibition of protein arginine methyltransferase 6 activates interferon signaling and induces the apoptosis of endometrial cancer cells via histone modification.

Histone modification, a major epigenetic mechanism regulating gene expression through chromatin remodeling, introduces dynamic changes in chromatin architecture. Protein arginine methyltransferase 6 (PRMT6) is overexpressed in various types of cancer, including prostate, lung and endometrial cancer (EC). Epigenome regulates the expression of endogenous retrovirus (ERV), which activates interferon signaling related to cancer. The antitumor effects of PRMT6 inhibition and the role of PRMT6 in EC were investigated, using epigenome multi­omics analysis, including an assay for chromatin immunoprecipitation sequencing (ChIP­seq) and RNA sequencing (RNA­seq). The expression of PRMT6 in EC was analyzed using reverse transcription­quantitative polymerase chain reaction (RT­qPCR) and immunohistochemistry (IHC). The prognostic impact of PRMT6 expression was evaluated using IHC. The effects of PRMT6­knockdown (KD) were investigated using cell viability and apoptosis assays, as well as its effects on the epigenome, using ChIP­seq of H3K27ac antibodies and RNA­seq. Finally, the downstream targets identified by multi­omics analysis were evaluated. PRMT6 was overexpressed in EC and associated with a poor prognosis. PRMT6­KD induced histone hypomethylation, while suppressing cell growth and apoptosis. ChIP­seq revealed that PRMT6 regulated genomic regions related to interferons and apoptosis through histone modifications. The RNA­seq data demonstrated altered interferon­related pathways and increased expression of tumor suppressor genes, including NK6 homeobox 1 and phosphoinositide­3­kinase regulatory subunit 1, following PRMT6­KD. RT­qPCR revealed that eight ERV genes which activated interferon signaling were upregulated by PRMT6­KD. The data of the present study suggested that PRMT6 inhibition induced apoptosis through interferon signaling activated by ERV. PRMT6 regulated tumor suppressor genes and may be a novel therapeutic target, to the best of our knowledge, in EC.

Patient survey on cancer genomic medicine in Japan under the national health insurance system.

In Japan, comprehensive genomic profiling (CGP) tests have been reimbursed under the national health care system for solid cancer patients who have finished standard treatment. More than 50,000 patients have taken the test since June 2019. We performed a nation-wide questionnaire survey between March 2021 and July 2022. Questionnaires were sent to 80 designated Cancer Genomic Medicine Hospitals. Of the 933 responses received, 370 (39.7%) were web based and 563 (60.3%) were paper based. Most patients (784, 84%) first learned about CGP tests from healthcare professionals, and 775 (83.1%) gave informed consent to their treating physician. At the time of informed consent, they were most worried about test results not leading to novel treatment (536, 57.4%). On a scale of 0-10, 702 respondents (75.2%) felt that the explanations of the test result were easy to understand (7 or higher). Ninety-one patients (9.8%) started their recommended treatment. Many patients could not receive recommended treatment because no approved drugs or clinical trials were available (102/177, 57.6%). Ninety-eight patients (10.5%) did not wish their findings to be disclosed. Overall satisfaction with the CGP test process was high, with 602 respondents (64.5%) giving a score of 7-10. The major reason for choosing 0-6 was that the CGP test result did not lead to new treatment (217/277, 78.3%). In conclusion, satisfaction with the CGP test process was high. Patients and family members need better access to information. More patients need to be treated with genomically matched therapy.

Genomic Landscape of Endometrial, Ovarian, and Cervical Cancers in Japan from the Database in the Center for Cancer Genomics and Advanced Therapeutics.

This study aimed to comprehensively clarify the genomic landscape and its association with tumor mutational burden-high (TMB-H, ≥10 mut/Mb) and microsatellite instability-high (MSI-H) in endometrial, cervical, and ovarian cancers. We obtained genomic datasets of a comprehensive genomic profiling test, FoundationOne® CDx, with clinical information using the "Center for Cancer Genomics and Advanced Therapeutics" (C-CAT) database in Japan. Patients can undergo the tests only after standardized treatments under universal health insurance coverage. Endometrial cancers were characterized by a high frequency of TMB-H and MSI-H, especially in endometrioid carcinomas. The lower ratio of POLE exonuclease mutations and the higher ratio of TP53 mutations compared to previous reports suggested the prognostic effects of the molecular subtypes. Among the 839 cervical cancer samples, frequent mutations of KRAS, TP53, PIK3CA, STK11, CDKN2A, and ERBB2 were observed in adenocarcinomas, whereas the ratio of TMB-H was significantly higher in squamous cell carcinomas. Among the 1606 ovarian cancer samples, genomic profiling of serous, clear cell, endometrioid, and mucinous carcinomas was characterized. Pathogenic mutations in the POLE exonuclease domain were associated with high TMB, and the mutation ratio was low in both cervical and ovarian cancers. The C-CAT database is useful for determining the mutational landscape of each cancer type and histological subtype. As the dataset is exclusively collected from patients after the standardized treatments, the information on "druggable" alterations highlights the unmet needs for drug development in major gynecological cancers.