Journal of Pathology and Translational Medicine

Original Article

The proteomic landscape shows oncologic relevance in cystitis glandularis: Jun Yong Kim, Dohyun Han, Hyeyoon Kim, Minsun Jung, Han Suk Ryu; J Pathol Transl Med. 2023;57(1):67-74. Published online December 22, 2022; DOI: https://doi.org/10.4132/jptm.2022.10.24

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Abstract PDF: Background
The relationship between cystitis glandularis (CG) and bladder malignancy remains unclear.
Methods
We identified the oncologic significance of CG at the molecular level using liquid chromatography-tandem mass spectrometry-based proteomic analysis of 10 CG, 12 urothelial carcinoma (UC), and nine normal urothelium (NU) specimens. Differentially expressed proteins (DEPs) were identified based on an analysis of variance false discovery rate < 0.05, and their functional enrichment was analyzed using a network model, Gene Set Enrichment Analysis, and Gene Ontology annotation.
Results
We identified 9,890 proteins across all samples and 1,139 DEPs among the three entities. A substantial number of DEPs overlapped in CG/NU, distinct from UC. Interestingly, we found that a subset of DEP clusters (n = 53, 5%) was differentially expressed in NU but similarly between CG and UC. This “UC-like signature” was enriched for reactive oxygen species (ROS) and energy metabolism, growth and DNA repair, transport, motility, epithelial-mesenchymal transition, and cell survival. Using the top 10 shortlisted DEPs, including SOD2, PRKCD, CYCS, and HCLS1, we identified functional elements related to ROS metabolism, development, and transport using network analysis. The abundance of these four molecules in UC/CG than in NU was consistent with the oncologic functions in CG.
Conclusions
Using a proteomic approach, we identified a predominantly non-neoplastic landscape of CG, which was closer to NU than to UC. We also confirmed a small subset of common DEPs in UC and CG, suggesting that altered ROS metabolism might imply potential cancerous risks in CG.

Review

The application of high-throughput proteomics in cytopathology: Ilias P. Nikas, Han Suk Ryu; J Pathol Transl Med. 2022;56(6):309-318. Published online November 9, 2022; DOI: https://doi.org/10.4132/jptm.2022.08.30

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1 Web of Science
1 Crossref

High-throughput genomics and transcriptomics are often applied in routine pathology practice to facilitate cancer diagnosis, assess prognosis, and predict response to therapy. However, the proteins rather than nucleic acids are the functional molecules defining the cellular phenotype in health and disease, whereas genomic profiling cannot evaluate processes such as the RNA splicing or posttranslational modifications and gene expression does not necessarily correlate with protein expression. Proteomic applications have recently advanced, overcoming the issue of low depth, inconsistency, and suboptimal accuracy, also enabling the use of minimal patient-derived specimens. This review aims to present the recent evidence regarding the use of high-throughput proteomics in both exfoliative and fine-needle aspiration cytology. Most studies used mass spectrometry, as this is associated with high depth, sensitivity, and specificity, and aimed to complement the traditional cytomorphologic diagnosis, in addition to identify novel cancer biomarkers. Examples of diagnostic dilemmas subjected to proteomic analysis included the evaluation of indeterminate thyroid nodules or prediction of lymph node metastasis from thyroid cancer, also the differentiation between benign and malignant serous effusions, pancreatic cancer from autoimmune pancreatitis, non-neoplastic from malignant biliary strictures, and benign from malignant salivary gland tumors. A few cancer biomarkers—related to diverse cancers involving the breast, thyroid, bladder, lung, serous cavities, salivary glands, and bone marrow—were also discovered. Notably, residual liquid-based cytology samples were suitable for satisfactory and reproducible proteomic analysis. Proteomics could become another routine pathology platform in the near future, potentially by using validated multi-omics protocols.

Citations

Citations to this article as recorded by

Identification of NIFTP-Specific mRNA Markers for Reliable Molecular Diagnosis of Thyroid Tumors
So-Yeon Lee, Jong-Lyul Park, Kwangsoon Kim, Ja Seong Bae, Jae-Yoon Kim, Seon-Young Kim, Chan Kwon Jung
Endocrine Pathology.2023; 34(3): 311. CrossRef

Original Article

Comparison of Efficacy of Human Papilloma Virus Genotyping Assays using Restriction Fragment Mass Polymorphism and DNA Chip Analysis in Patients with Abnormal Pap Smear and Uterine Cervical Cancer.: Hyun Jae Chung, Sung Nam Kim, Eun Hee Lee, Mi Sun Jee, Min A Kim, Sun Young Hwang, Hee Jung Cho, Soo Ok Kim, Sun Pyo Hong; Korean J Pathol. 2006;40(6):439-447.

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Abstract PDF: BACKGROUND
High-risk human papilloma virus (HPV) infection is the primary cause of cervical cancer; there is a need for more sensitive and reliable methods for HPV genotyping to use as screening tools for early detection and intervention. METHODS: A novel MALDI-TOF MSbased assay, termed Restriction Fragment Mass Polymorphism (RFMP) was developed for multiple HPV genotyping. Its performance was compared with DNA chip technology. The study was based on 164 cases classified as normal (n=40), ASCUS (n=53) and invasive squamous cell carcinoma (SCC, n=71) by a PAP smear and/or cervical colposcopic biopsy.
RESULTS
High-risk genotypes were detected in 7.5%, 47.2% and 97.2% in normal, ASCUS and SCC groups by RFMP, and in 20.0%, 41.5% and 90.1% using DNA chip technology, respectively. The results showed substantial concordance, with a kappa coefficient of 0.688, between the methods. Diagnostic sensitivity and specificity for cervical cancer were found to be 97.2% and 92.2% with RFMP and 90.1% and 80.0% using DNA chip microarrays.
CONCLUSIONS
RFMP and DNA chip technologies were shown to be reliable methods for HPV genotyping with a high concordance. The improved sensitivity and specificity should make RFMP a viable option for the management of women with cervical neoplastic lesions.

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