PATHOBIOLOGY

Validation of a urine- based proteomics test to predict clinically significant prostate cancer: complementing mpMRI pathway
Frantzi M, Morillo AC, Lendinez G, Blanca A, Lopez Ruiz D, Parada J, Heidegger I, Culig Z, Mavrogeorgis E, Beltran AL, Mora-Ortiz M, Carrasco-Valiente J, Mischak H, Medina RA, Campos Hernandez P and Gómez Gómez E
INTRODUCTIONː Prostate cancer (PCa) is the most frequently diagnosed cancer among men. A major clinical need is to accurately predict clinically significant PCa (csPCa). A proteomics-based 19-biomarker model (19-BM) was previously developed using capillary electrophoresis-mass spectrometry (CE-MS) and validated in 1000 patients at risk for PCa. This study aimed to validate 19-BM in a multicenter prospective cohort of 101 biopsy-naive patients using current diagnostic pathways. METHODSː Urine samples from 101 patients with PCa were analyzed using CE-MS. All patients underwent MRI using a 3-T system. The 19-BM score was estimated using support vector machine-based software (MosaCluster v1.7.0), employing a previously established cut-off criterion of -0.07. Previously developed diagnostic nomograms were calculated along with MRI. RESULTSː Independent validation of 19-BM yielded a sensitivity of 77% and a specificity of 85% (AUC:0.81). This performance surpassed those of PSA (AUC:0.56) and PSA density (AUC:0.69). For PI-RADS≤ 3 patients, 19-BM showed a sensitivity of 86% and a specificity of 88%. Integrating 19-BM with MRI resulted in significantly better accuracy (AUC:0.90) compared to individual investigations alone (AUC19BM=0.81; p=0.004 and AUCMRI:0.79; p=0.001). Examining the decision curve analysis, 19-BM with MRI surpassed other approaches for the prevailing risk interval from a 30% cut-off. CONCLUSIONSː 19-BM exhibited favorable reproducibility for the prediction of csPCa. In patients with PI-RADS≤3, 19-BM correctly classified 88% of the patients with insignificant PCa at the cost of one missed csPCa patient. Utilizing the 19-BM test could prove valuable in complementing MRI and reducing the need for unnecessary biopsies.
Next-Generation Integrated Sequencing Identifies Poor Prognostic Factors in Patients with MYD88-Mutated Chronic Lymphocytic Leukemia in Taiwan
Huang YJ, Lim JQ, Hsu JS, Kuo MC, Wang PN, Kao HW, Wu JH, Chen CC, Tsai SF, Ong CK and Shih LY
Chronic lymphocytic leukemia (CLL) is the most common type of leukemia in the Western countries and is very rare in Asia.
Human Papilloma Virus-Related Oral Mucosal Lesions in Turkey: A Retrospective Cohort Study
Bozdag LA and Elif Gultekin S
The human papillomavirus (HPV) is the etiological agent of a variety of oral mucosal benign and pre/malignant lesions, which demonstrate a wide range of prevalence according to geographic regions.
Nodal T-cell lymphoma transdifferentiated from mantle cell lymphoma with Epstein-Barr virus infection
Barone PD, Tam W, Geyer JT, Leonard JP, Phillips A and Ouseph MM
We report a case of mantle cell lymphoma (MCL) with apparent lineage switch to an EBV-positive T-cell lymphoma. Although lineage switch is a well-documented phenomenon in some hematolymphoid diseases, such as acute leukemias or histiocytic/dendritic cell neoplasms, lineage switch from mature B to T cell lymphoma is exceedingly rare.
p16 Immunohistochemical Patterns in Triple-Negative Breast Cancer: Clinical and Genomic Similarities of the p16 Diffuse Pattern to pRB Deficiency
Lee M, Lee A, Choi BO, Park WC, Lee J and Kang J
Triple-negative breast cancer (TNBC) is associated with alterations in the retinoblastoma pathway. As a consequence of retinoblastoma protein (pRB) loss, compensatory upregulation of p16 occurs due to the loss of phosphorylated pRB-mediated negative feedback on p16 expression. The aim of this study is to investigate the clinicopathological and genomic characteristics associated with the diffuse pattern of p16 immunohistochemistry (IHC) in TNBC.
KRT18 as a Novel Biomarker of Urothelial Papilloma while Evaluating Low-Grade Papillary Urothelial Neoplasms: Bi-Center Analysis
Jung M, Kim B, Lee JS, Kim JY, Han D, Kim K, Yang S, Kim EN, Kim H, Nikas IP, Yang S, Moon KC, Lee H and Ryu HS
Although urothelial papilloma (UP) is an indolent papillary neoplasm that can mimic the morphology of low-grade papillary urothelial carcinoma (PUC), there is no immunomarker to differentiate reliably these two entities. In addition, the molecular characteristics of UP are not fully understood.
Prognostic and Clinical Significance of the Proliferation Marker MCM7 in Breast Cancer
Lashen AG, Toss MS, Rutland CS, Green AR, Mongan NP and Rakha E
Minichromosome maintenance complex component 7 (MCM7) plays an essential role in proliferation and DNA replication of cancer cells. However, the expression and prognostic significance of MCM7 in breast cancer (BC) remain to be defined. In this study, we aimed to evaluate the role of MCM7 in BC.
Deciphering Breast Origin in Malignant Effusions: The Diagnostic Utility of an MGP, GATA-3, and TRPS-1 Immunocytochemical Panel
Yang SH, Lee JS, Koh JW, Nikas IP, Kim EN, Lee H and Ryu HS
Defining the origin of metastatic cancer is crucial for establishing an optimal treatment strategy, especially when obtaining sufficient tissue from secondary malignancies is limited. While cytological examination is often used in this diagnostic setting, morphologic analysis alone often fails to differentiate metastases derived from the breast from other primaries. The hormone receptor, human epidermal growth factor receptor-2, gross cystic disease fluid protein 15, and mammaglobin immunohistochemistry are often used to diagnose metastatic breast cancer. However, their effectiveness decreases in estrogen receptor (ER)-negative breast cancers, including the triple-negative breast cancer (TNBC) subtype.
Artificial Intelligence Recognition Model Using Liquid-Based Cytology Images to Discriminate Malignancy and Histological Types of Non-Small-Cell Lung Cancer
Tanaka R, Tsuboshita Y, Okodo M, Settsu R, Hashimoto K, Tachibana K, Tanabe K, Kishimoto K, Fujiwara M and Shibahara J
Artificial intelligence image recognition has applications in clinical practice. The purpose of this study was to develop an automated image classification model for lung cancer cytology using a deep learning convolutional neural network (DCNN).
Establishment and characterization of salivary gland-specific injury in transgenic mice model
Omagari D, Ushikoshi-Nakayama R, Yamazaki T, Inoue H, Bando K, Matsumoto N and Saito I
Many mouse models for autoimmune diseases also have lesions in non-target organs, which may make it difficult to determine whether the target organ lesion is primary or secondary. Hyposalivation has conventionally been studied using genetically modified mouse models for Sjogren's syndrome as well as spontaneous autoimmune mice with systemic lesions, none of which has salivary gland-specific injury.
Low-Grade Adenosquamous Carcinoma of the Breast Masquerading as a Fibroepithelial Lesion on Core Biopsy: A Challenging Case
Laokulrath N, Chuwa E, Gudi M and Tan PH
Diagnosing low-grade adenosquamous carcinoma (LGASC) presents significant challenges due to its subtle morphology, variable immunohistochemical expression, and resemblance to benign lesions like radial scar and complex sclerosing lesions.
Prognostic Value of Cancer-Associated Fibroblast Marker Expression in the Intratumoral and Marginal Areas of Soft Tissue Sarcoma
Umakoshi M, Kudo-Asabe Y, Tsuchie H, Li Z, Koyama K, Miyabe K, Yoshida M, Nagasawa H, Nanjo H, Okada K, Maeda D, Miyakoshi N, Tanaka M and Goto A
The tumor microenvironment of sarcomas has not been studied in detail; in particular, little is known about cancer-associated fibroblasts (CAFs). Sarcoma cells are difficult to distinguish from CAFs, either histomorphologically or immunohistochemically.
Reconceiving Perineural Invasion in Cutaneous Squamous Cell Carcinoma: From Biological to Histopathological Assessment
Nozzoli F, Nassini R, De Logu F, Catalano M, Roviello G and Massi D
Perineural invasion (PNI) is a complex molecular process histologically represented by the presence of tumor cells within the peripheral nerve sheath and defined when infiltration into the 3 nerve sheath layers can be clearly identified. Several molecular pathways have been implicated in cSCC. PNI is a well-recognized risk factor in cutaneous squamous cell carcinoma (cSCC) and its accurate assessment represents a challenging field in pathology daily practice.
Identification of Early Events in Serrated Pathway Colorectal Tumorigenesis by Using Digital Spatial Profiling
Su MC, Hsu CH, Chen KC, Lin JR, Li HY, Fang YT, Huang RY and Jeng YM
The colorectal serrated pathway involves precursor lesions known as sessile serrated lesions (SSL) and traditional serrated adenomas (TSA). Mutations in BRAF or KRAS are crucial early events in this pathway. Additional genetic and epigenetic changes contribute to the progression of these lesions into high-grade lesions and, eventually, invasive carcinoma.
ATF4 as a Prognostic Marker and Modulator of Glutamine Metabolism in Oestrogen Receptor-Positive Breast Cancer
Patel R, Alfarsi LH, El-Ansari R, Masisi BK, Erkan B, Fakroun A, Ellis IO, Rakha EA and Green AR
ATF4, a stress-responsive transcription factor that upregulates adaptive genes, is a potential prognostic marker and modulator of glutamine metabolism in breast cancer. However, its exact role remains to be elucidated.
Multiplex Intraoperative Rapid Immunohistochemistry with Noncontact Antibody Mixing for Distinguishing the Histologic Phenotype of Lung Cancer
Kuriyama S, Imai K, Nanjo H, Wakamatsu Y, Takashima S, Matsuo T, Iwai H, Demura R, Suzuki H, Harata Y, Shibano S, Wakita A, Sato Y, Nomura K and Minamiya Y
Determining a surgical strategy for early-stage lung cancer requires an accurate histologic diagnosis. Immunohistochemistry (IHC) enables reliable diagnosis of histological types but requires more time and more tumor tissue slides than hematoxylin and eosin staining. We aimed to assess the clinical validity of a new rapid multiplex IHC technique utilizing alternating current (AC) mixing for intraoperative lung cancer diagnosis.
Tumor-Intrinsic Perinuclear LOXL2: Prognostic Relevance and Relationship with YAP1 Activation Status in Oral Squamous Cell Carcinoma
Rodrigo JP, Moreno-Bueno G, Lequerica-Fernández P, Rodríguez-Santamarta T, Díaz E, Prieto-Fernández L, Álvarez-Teijeiro S, García-Pedrero JM and de Vicente JC
Lysyl oxidase-like 2 (LOXL2) expression and function is frequently altered in different cancers but scarcely explored in oral squamous cell carcinoma (OSCC). This prompted us to investigate the clinical relevance of LOXL2 expression pattern in OSCC and also a possible crosstalk with Hippo/YAP1 pathway signaling.
Clinically Applicable Pan-Origin Cancer Detection for Lymph Nodes via Artificial Intelligence-Based Pathology
Pan Y, Dai H, Wang S, Wang L, Li Q, Wang W, Li J, Qi D, Yang Z, Jia J, Wang Y, Fang Q, Li L, Zhou W, Song Z and Zou S
Lymph node metastasis is one of the most common ways of tumour metastasis. The presence or absence of lymph node involvement influences the cancer's stage, therapy, and prognosis. The integration of artificial intelligence systems in the histopathological diagnosis of lymph nodes after surgery is urgent.
Decreasing Albumin mRNA Expression in Cholangiocarcinomas along the Bile Duct Tree
Albertini E, Chillotti S, Monti G, Malvi D, Deserti M, Degiovanni A, Palloni A, Tavolari S, Brandi G, D'Errico A and Vasuri F
The progressive technologies in albumin in situ hybridization (ISH) changed the routine application and the differential diagnosis of hepatic malignancies in the last years. The aim of the present work was to assess the diagnostic utility of albumin ISH on different cholangiocarcinoma (CCA) subtypes, as well as to assess how albumin production changes along the biliary tree.
Comparison of Breast Fine-Needle Aspiration Cytology and Tissue Sampling for High-Throughput Proteomic Analysis and Cancer Biomarker Detection
Park HE, Han D, Lee JS, Nikas IP, Kim H, Yang S, Lee H and Ryu HS
Fine-needle aspiration cytology (FNAC) specimens are widely utilized for the diagnosis and molecular testing of various cancers. We performed a comparative proteomic analysis of three different sample types, including breast FNAC, core needle biopsy (CNB), and surgical resection tissues. Our goal was to evaluate the suitability of FNAC for in-depth proteomic analysis and for identifying potential therapeutic biomarkers in breast cancer.
Erratum