Journal of Pathology Clinical Research最新文献

{"title":"Tumor-associated macrophages: potential role in skeletal involvement in classic Hodgkin lymphoma","authors":"Maja Dam Andersen,&nbsp;Katharina Wolter,&nbsp;Marie Hairing Enemark,&nbsp;Mette Abildgaard Pedersen,&nbsp;Lars Christian Gormsen,&nbsp;Kristina Lystlund Lauridsen,&nbsp;Jørn Starklint,&nbsp;Stephen Jacques Hamilton-Dutoit,&nbsp;Francesco d'Amore,&nbsp;Maja Ludvigsen,&nbsp;Peter Kamper","doi":"10.1002/2056-4538.70038","DOIUrl":"https://doi.org/10.1002/2056-4538.70038","url":null,"abstract":"<p>The biology of tumor spread to bone is poorly understood, not least in classic Hodgkin lymphoma (cHL). We used gene expression profiling and immunohistochemistry to characterize the nodal tumor microenvironment of cHL cases with and without skeletal involvement at diagnosis. Gene expression profiling of 66 pretreatment lymphoma samples revealed that lymph nodes from patients with skeletal cHL (s-cHL) exhibited a higher abundance of cells expressing macrophage markers, particularly M2-like markers, than nodal-only cHL (n-cHL). These markers included <i>CD163</i>, <i>MRC1</i> (<i>CD206</i>), <i>MARCO</i>, and <i>SIGLEC1</i>. Additionally, there was a notable downregulation of genes encoding B-cell-associated markers such as <i>MS4A1</i> (<i>CD20</i>), <i>CD19</i>, <i>PAX5</i>, and <i>CD79A/B</i>. We further evaluated the protein expression of macrophage markers (CD68, CD163, and CD206) and the B-cell marker CD20 in 193 pretreatment lymphoma samples using immunohistochemistry. Our analysis revealed significantly higher expression levels of all three macrophage markers in s-cHL samples compared to n-cHL samples (<i>p</i> &lt; 0.001). Conversely, the expression level of CD20 was significantly lower in s-cHL compared with n-cHL (<i>p</i> &lt; 0.001). All three macrophage markers correlated positively with Ann Arbor stage, indicating their potential involvement in the dissemination of cHL in general. Our findings suggest a potential role for tumor-associated macrophages in the dissemination of cHL to bone.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which descriptor should spread through air spaces (STAS) be incorporated into? T descriptor versus residual tumor classification","authors":"Yedong Mi,&nbsp;Donglai Chen,&nbsp;Zhangqiang Chen,&nbsp;Yue Li,&nbsp;Xiaoxiao Dai,&nbsp;Shanshan Shen,&nbsp;Jian Shu,&nbsp;Yongzhong Li,&nbsp;Lijie Tan,&nbsp;Yiming Mao,&nbsp;Qifeng Ding,&nbsp;Yongbing Chen","doi":"10.1002/2056-4538.70039","DOIUrl":"https://doi.org/10.1002/2056-4538.70039","url":null,"abstract":"<p>It has not been determined which descriptor spread through air spaces (STAS) should be incorporated into the context of the ninth Tumor, Node and Metastasis (TNM) staging system: the T or the uncertain resection [R(un)] category. A multicenter retrospective cohort of 807 patients with pathological stage I lung adenocarcinoma was included in this study to assess the feasibility of incorporating STAS into the T descriptor or the R(un) category by analyzing recurrence-free survival (RFS) and overall survival (OS). Decision curve analysis (DCA) was performed to evaluate the standardized net benefit of the proposed T (nT) and that of the proposed residual tumor classification (nR) versus the current staging systems. Log-rank tests indicated that patients with pT1/STAS-positive lung adenocarcinoma had similar RFS and OS to patients with pT2a disease irrespective of R status. Regarding STAS as an indicator for upgrading R0 to R(un), comparable survival was observed between pT1-2a/STAS-positive patients undergoing R0 segmentectomy and pT1-2a patients undergoing R(un) segmentectomy. We further assessed the effects of the combination of STAS with either T or R category on survival in a validation cohort. Subgroup analyses stratified by surgical procedures further identified the consistency of the nT category in discriminating RFS and OS. However, the separation of nR0 and nR(un) disease in pT2a tumors treated by lobectomy or segmentectomy was not sufficiently distinguished. DCA further corroborated a greater predictive capability of nT versus the current T category. In conclusion, STAS might be preferentially considered as an indicator for upgrading pT1 disease into pT2a in the future TNM staging system.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pathogenesis of peritoneal high-grade serous carcinoma after risk-reducing surgery: a systematic review","authors":"Tamar A Gootzen,&nbsp;Anouk B Bouwmeester,&nbsp;Joanne A de Hullu,&nbsp;Jurgen MJ Piek,&nbsp;Jeroen AWM van der Laak,&nbsp;Michiel Simons,&nbsp;Miranda P Steenbeek","doi":"10.1002/2056-4538.70037","DOIUrl":"https://doi.org/10.1002/2056-4538.70037","url":null,"abstract":"<p>Germline <i>BRCA1/2</i> pathogenic variant carriers have an increased risk for high-grade serous carcinoma (HGSC) and are therefore advised to have risk-reducing salpingo-oophorectomy around the age of 40. However, a risk of 0.9% to develop peritoneal HGSC remains in these women, which increases to 27.5% when serous tubal intraepithelial carcinoma (STIC) is detected. The pathophysiological mechanism that leads to the development of peritoneal HGSC after salpingectomy or salpingo-oophorectomy is still largely unknown. In this systematic review, we aim to provide insights into the pathogenic pathways of peritoneal HGSC after salpingectomy or salpingo-oophorectomy. Therefore, we performed a systematic search for studies investigating pathophysiological mechanisms related to peritoneal HGSC in PubMed and EMBASE. A total of 49 articles were included in this study. Most evidence was found on mechanisms following a tubal origin, such as clonality between STIC and peritoneal HGSC as well as molecular similarities between fallopian tube (FT) epithelium and peritoneal HGSC. Additionally, FT epithelium was shown to adhere to the ovary and could therefore stay present after isolated salpingectomy. There might be a role for the endometrium, as it was observed that serous endometrial intraepithelial carcinoma (SEIC) has a clonal relationship with extra-uterine HGSC. The role of the ovary seems limited, although some mouse models show a role for follicular fluid in the dissemination of malignant cells on the peritoneum. In conclusion, different mechanisms might be responsible for peritoneal HGSC development after bilateral salpingectomy or salpingo-oophorectomy. Most available evidence supports the dissemination of precursor cells originating in the FT. Also, a possible role for the endometrium was found. An ovarian origin seems less likely; however, execution of oophorectomy does not seem obsolete in clinical practice as follicular fluid might promote dissemination and residual tubal tissue can be present on the ovary after salpingectomy.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated tumor-stroma ratio estimation for improved prognostic stratification of squamous cell carcinoma of the oral tongue","authors":"Lixiao Wang,&nbsp;Katrine Sörensen,&nbsp;Philip J Coates,&nbsp;Xiaolian Gu,&nbsp;Nicola Sgaramella,&nbsp;Mustafa Magan Barre,&nbsp;Karin Nylander","doi":"10.1002/2056-4538.70036","DOIUrl":"https://doi.org/10.1002/2056-4538.70036","url":null,"abstract":"<p>Squamous cell carcinoma of the oral tongue (SCCOT) represents an aggressive malignancy characterized by high metastatic potential and significant heterogeneity in its tumor microenvironment. The tumor-stroma ratio (TSR) has emerged as a prognostic biomarker, with higher stromal content frequently correlating with worse survival outcomes. Traditional approaches using the standard 50% TSR cutoff may not be optimal for SCCOT, and visual TSR estimation introduces variability during TSR region annotation. This study aimed to develop and validate a dedicated TSR estimation model for SCCOT by incorporating representative TSR regions from the invasive tumor front of whole slide images and to determine the optimal TSR threshold for prognostic stratification. Using hematoxylin and eosin-stained images from The Cancer Genome Atlas as a discovery cohort and whole slide images from Norrland's University Hospital Umea, Sweden (NUS) as a validation cohort, we developed a computational model to estimate TSR. The model demonstrated a high correlation with pathologist-based TSR estimation in both discovery (<i>R</i> = 0.848, <i>p</i> &lt; 0.01) and validation (<i>R</i> = 0.783, <i>p</i> &lt; 0.01) cohorts. The optimal 55% cutoff identified by the model improved prognostic accuracy over the traditional 50% threshold, with patients having high stroma within the tumor invasive front showing worse overall (log-rank <i>p</i> = 0.006) and disease-specific (log-rank <i>p</i> = 0.016) survival. Our computational TSR model for SCCOT demonstrates that automated TSR estimation enhances prognostic accuracy at an optimal cutoff of 55%, contributing to more precise risk stratification and potentially enabling personalized treatment strategies in SCCOT management.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyaluronan accumulation is associated with reduced hyaluronidase expression in renal cell carcinoma, with CD44, HAS1, and HYAL2 emerging as prognostic markers","authors":"Otto Jokelainen,&nbsp;Teemu Rintala,&nbsp;Satu Remes,&nbsp;Sanna Pasonen-Seppänen,&nbsp;Timo K Nykopp,&nbsp;Reijo Sironen","doi":"10.1002/2056-4538.70035","DOIUrl":"https://doi.org/10.1002/2056-4538.70035","url":null,"abstract":"<p>Hyaluronan (HA), a large extracellular matrix glycosaminoglycan, is associated with malignant features in several human cancers. The accumulation of HA in renal cell carcinomas (RCC) correlates with unfavorable outcomes, higher tumor grade, and more advanced disease stages. However, the mechanisms responsible for HA buildup in these neoplasms remain unclear, and studies on the expression of hyaluronan-metabolizing and -degrading enzymes are either lacking or conflicting. This study aims to address this knowledge gap. Formalin-fixed paraffin-embedded (FFPE) RCC samples of various histological subtypes from 315 patients were immunohistochemically stained for CD44 (the main receptor of HA), hyaluronan-synthesizing enzymes HAS1–3, and degrading enzymes HYAL1–2. Protein expression levels were correlated with clinicopathological variables and their prognostic significance was evaluated. Additionally, the mRNA expression levels of these proteins were examined using RNA extracted from the same samples and publicly available data from the cancer genome atlas (TCGA). CD44 protein expression was associated with increased tumoral HA content, poor prognosis, higher tumor grade, advanced stage, and sarcomatoid/rhabdoid changes. HYAL1 and HYAL2 protein levels were reduced in HA-positive tumors, and low HYAL2 expression predicted worse prognosis. Elevated HAS2 protein expression was associated with poor differentiation, while low HAS1 protein levels were associated with reduced survival. mRNA levels of <i>CD44</i> and <i>HYAL2</i> correlated with their respective protein expression levels, and <i>CD44</i> mRNA expression was also associated with HA content. In RCC, HA accumulation appears to be primarily driven by decreased degradation. HAS1 and HYAL2 were identified as novel prognostic biomarkers. These findings provide new insights into HA metabolism in RCC and open potential avenues for better understanding and management of these tumors.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Entropy and expertise: assessing changes in pathologists' language over time using the UK Liver Pathology External Quality Assessment scheme","authors":"Jonathan P Callaghan,&nbsp;Katrina Z Freimane,&nbsp;Rachel M Brown,&nbsp;Alyn L Cratchley,&nbsp;Timothy J Kendall","doi":"10.1002/2056-4538.70032","DOIUrl":"https://doi.org/10.1002/2056-4538.70032","url":null,"abstract":"<p>External Quality Assessment (EQA) schemes are an important quality assurance tool and aim to ensure consistency among histopathologists. In this study, we use Shannon entropy as a novel metric to evaluate linguistic variability in the UK Liver Pathology EQA scheme. Analysing free-text responses by participants over a decade, we aimed to quantify language trends in morphological assessments and clinicopathological diagnoses. Accounting for an increasing word count and when pathologists joined the scheme, our findings reveal a significant increase in entropy of morphological assessments over time, indicating growing linguistic diversity that may reflect the increasing complexity of liver pathology. Entropy of clinicopathological diagnoses over the same period did not provide clear evidence for convergent diagnostic language. High entropy corresponded to cases that elicited more diverse responses and could be considered more challenging, highlighting the utility of this method to identify potential areas for targeted education. We demonstrate entropy as a novel tool to analyse pathologist language and enhance quality assurance in the evolving pathology landscape.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging deep learning to discover interpretable cellular spatial biomarkers for prognostic predictions based on hepatocellular carcinoma histology","authors":"Huijuan Hu,&nbsp;Tianhua Tan,&nbsp;Yerong Liu,&nbsp;Wei Liang,&nbsp;Wei Zhang,&nbsp;Jinsong Zhang,&nbsp;Ju Cui,&nbsp;Jinghai Song,&nbsp;Xuefei Li","doi":"10.1002/2056-4538.70033","DOIUrl":"https://doi.org/10.1002/2056-4538.70033","url":null,"abstract":"<p>The spatial structure of various cell types in the tumour microenvironment (TME) can provide valuable insights into disease progression. However, identifying the spatial organization of diverse cell types that significantly correlates with patient prognosis remains challenging. In this study, enabled by deep learning-based cell segmentation and recognition, we developed a computational pipeline to systematically quantify the spatial distribution features of tumour cells, stromal cells, and lymphocytes in haematoxylin and eosin (H&amp;E)-stained pathological images of hepatocellular carcinoma (HCC). We identified six cellular spatial features that consistently and significantly correlated with the overall survival of patients in two independent HCC patient cohorts, The Cancer Genome Atlas Program cohort and the Beijing Hospital cohort. Each threshold for patient stratification was the same for both cohorts, and the six features independently served as prognostic indicators when individually analysed alongside clinical variables. Furthermore, the combination of features such as the mean value of cellular diversity around stromal cells (StrDiv-M), the median distance between all cells (CellDis-MED), and the median value of variation coefficient of the distance around stromal cells and their neighbours (CvStrDis-MED) could further stratify the patient prognosis. In addition, incorporating cell spatial features with another clinical feature, microvascular invasion improved prognostic stratification efficacy for patients from both cohorts. In conclusion, by quantifying the cellular spatial organization features in the HCC TME, we discovered novel biomarkers for evaluating tumour prognosis. These findings could promote mechanistic studies of the cellular spatial organization within the HCC TME and potentially guide future clinical treatment.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A quantitative tumor-wide analysis of morphological heterogeneity of colorectal adenocarcinoma","authors":"Mihnea P Dragomir,&nbsp;Vlad Popovici,&nbsp;Simon Schallenberg,&nbsp;Martina Čarnogurská,&nbsp;David Horst,&nbsp;Rudolf Nenutil,&nbsp;Fred Bosman,&nbsp;Eva Budinská","doi":"10.1002/2056-4538.70034","DOIUrl":"https://doi.org/10.1002/2056-4538.70034","url":null,"abstract":"<p>The intertumoral and intratumoral heterogeneity of colorectal adenocarcinoma (CRC) at the morphologic level is poorly understood. Previously, we identified morphological patterns associated with CRC molecular subtypes and their distinct molecular motifs. Here we aimed to evaluate the heterogeneity of these patterns across CRC. Three pathologists evaluated dominant, secondary, and tertiary morphology on four sections from four different FFPE blocks per tumor in a pilot set of 22 CRCs. An AI-based image analysis tool was trained on these tumors to evaluate the morphologic heterogeneity on an extended set of 161 stage I–IV primary CRCs (<i>n</i> = 644 H&amp;E sections). We found that most tumors had two or three different dominant morphotypes and the complex tubular (CT) morphotype was the most common. The CT morphotype showed no combinatorial preferences. Desmoplastic (DE) morphotype was rarely dominant and rarely combined with other dominant morphotypes. Mucinous (MU) morphotype was mostly combined with solid/trabecular (TB) and papillary (PP) morphotypes. Most tumors showed medium or high heterogeneity, but no associations were found between heterogeneity and clinical parameters. A higher proportion of DE morphotype was associated with higher T-stage, N-stage, distant metastases, AJCC stage, and shorter overall survival (OS) and relapse-free survival (RFS). A higher proportion of MU morphotype was associated with higher grade, right side, and microsatellite instability (MSI). PP morphotype was associated with earlier T- and N-stage, absence of metastases, and improved OS and RFS. CT was linked to left side, lower grade, and better survival in stage I–III patients. MSI tumors showed higher proportions of MU and TB, and lower CT and PP morphotypes. These findings suggest that morphological shifts accompany tumor progression and highlight the need for extensive sampling and AI-based analysis. In conclusion, we observed unexpectedly high intratumoral morphological heterogeneity of CRC and found that it is not heterogeneity <i>per se</i>, but the proportions of morphologies that are associated with clinical outcomes.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144273412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of three alternative histopathological scoring methods at the invasive tumour front in colorectal cancer","authors":"Walaiphorn Woraharn,&nbsp;Ashley McCulloch,&nbsp;Christopher Bigley,&nbsp;Phimmada Hatthakarnkul,&nbsp;Kathryn Pennel,&nbsp;Peter Alexander,&nbsp;Hester van Wyk,&nbsp;Antonia Roseweir,&nbsp;Jennifer Hay,&nbsp;Noori Maka,&nbsp;James Park,&nbsp;Nigel B Jamieson,&nbsp;Joanne Edwards,&nbsp;Campbell SD Roxburgh","doi":"10.1002/2056-4538.70031","DOIUrl":"https://doi.org/10.1002/2056-4538.70031","url":null,"abstract":"<p>Although the characteristics at the invasive tumour front in colorectal cancer (CRC) are simple to assess, they are not included in routine pathology reports because they lack reproducibility and standardisation. In this study, we aimed to validate alternative scoring methods at the invasive tumour front in a large cohort of stage I–III CRC. The retrospective analysis was performed on haematoxylin and eosin–stained sections from 538 patients. At the invasive tumour front, tumour characteristics were scored using three alternative methods: the Karamitopoulou method, which evaluates the percentage of infiltrative tumour; the Taskin method, a five-point grading scale; and the tumour growth pattern (TGP) method, which classifies patterns as pushing, intermediate, or infiltrative. For interobserver assessment, the Karamitopoulou and TGP methods showed good agreement while the Taskin method presented fair agreement. High scores with the Karamitopoulou and Taskin methods correlated significantly with adverse prognostic factors, particularly advanced T stage (<i>p</i> &lt; 0.001), N stage (<i>p</i> &lt; 0.001), and the presence of peritoneal involvement (<i>p</i> &lt; 0.001). The survival rate of the TGP method demonstrated that patients with an infiltrative growth pattern had significantly worse CRC survival compared to those with pushing and intermediate growth patterns (<i>p</i> &lt; 0.001) and the TGP method retained its independence as a prognostic factor in multivariable Cox regression analysis only for colon cancer-specific survival (<i>p</i> &lt; 0.001). The TGP scoring method is an independent prognostic factor only for colon cancer with simple and inexpensive assessment, underlining its practicality in routine reporting. Additionally, this method could be included as an additional histopathological risk indicator with the potential to guide therapeutic decision making.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 3","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70031","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging pathological diagnostic strategies for solid pseudopapillary neoplasm of the pancreas: insights from omics and innovative techniques","authors":"Yuanhao Liu,&nbsp;Junya Peng,&nbsp;Yupei Zhao,&nbsp;Wenze Wang","doi":"10.1002/2056-4538.70029","DOIUrl":"https://doi.org/10.1002/2056-4538.70029","url":null,"abstract":"<p>Solid pseudopapillary neoplasm (SPN) of the pancreas is a rare, low-grade malignant tumor, representing 0.9–2.7% of all exocrine pancreatic tumors. SPN patients generally have a favorable prognosis with a 5-year survival rate exceeding 95% following complete surgical resection. Accurate diagnosis is crucial to avoid unnecessary treatments. Currently, SPN diagnosis relies on imaging techniques such as CT and MRI, along with immunohistochemical analysis of biopsy and resection samples. The main challenge in diagnosis is the potential inability to accurately identify recurrent or metastatic SPN, as well as ‘malignant’ SPN, due to the lack of specific biomarkers. Advances in high-throughput omics technologies, including genomics, transcriptomics, proteomics and metabolomics, have opened new avenues for identifying novel biomarkers for SPN. Additional, liquid biopsy techniques have enabled more comprehensive analysis of biosamples such as pancreatic cyst fluid, offering promising prospects for preoperative diagnosis. This review highlights recent research on SPN diagnosis, focusing on immunohistochemical markers, tissue sampling methods and the potential of omics approaches. It also discusses the challenges and opportunities in improving diagnostic accuracy, particularly for high-grade and metastatic SPNs.</p>","PeriodicalId":48612,"journal":{"name":"Journal of Pathology Clinical Research","volume":"11 3","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/2056-4538.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}