Tumour heterogeneity may pose a problem when biopsy specimens are taken to measure proliferation (for example, in assessing response to therapy). Two "biopsy specimens" were taken from the centre and two from the edge of the luminal surface of 20 resected oesophageal adenocarcinomas. The proliferation index for each "biopsy specimen" was measured by counting Ki67 labelled nuclei in histological sections. The proliferation index was not associated with tumour differentiation or stage. There was site specific heterogeneity with a significant difference in proliferation index between the central (mean (SD) 36.4 (9.7)) and edge "biopsy specimens" (39.3 (9.9)). There was, however, a wide range of differences between pairs of "biopsy specimens" from both sites. In conclusion, if a tumour is to be sampled for measurement of the proliferation index before and after treatment, then the sequential biopsy specimens (preferably duplicated on each occasion) should be taken consistently from a leading edge of the lesion.
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http://dx.doi.org/10.1136/mp.49.1.m61 | DOI Listing |
J Transl Med
January 2025
Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Background: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal growth factor receptor 2 (HER2) is trastuzumab combined with chemotherapy. In clinical practice, HER2 positivity is identified through immunohistochemistry (IHC) or fluorescence in situ hybridization (FISH), whereas deep learning (DL) can predict HER2 status based on tumor histopathological features. However, it remains uncertain whether these deep learning-derived features can predict the efficacy of anti-HER2 therapy.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pathology and Laboratory Medicine, Collage of Medicine, the University of Tennessee Health Science Center, Memphis, TN, 38163, United States.
Deoxyhypusine synthase (DHPS) is an enzyme encoded by the DHPS gene, with high expression in various cancers, including ovarian cancer (OC). DHPS regulates the translation initiation factor EIF5A, and EIF5A2 knockout inhibits OC tumor growth and metastasis by blocking the epithelial-to-mesenchymal transition (EMT) and the TGFβ pathway. In this study, we show that DHPS is amplified in OC patients, and its elevated expression correlates with poor survival.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
January 2025
Department of Pathology, Renmin Hospital of Wuhan University, Wuhan430060, China.
To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer. Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups.
View Article and Find Full Text PDFCommun Med (Lond)
January 2025
Department of Dermatology, Graduate School of Medicine, Tohoku University, Sendai, Japan.
Background: Chronic kidney disease (CKD) causes progressive and irreversible damage to the kidneys. Renal biopsies are essential for diagnosing the etiology and prognosis of CKD, while accurate quantification of tubulo-interstitial injuries from whole slide images (WSIs) of renal biopsy specimens is challenging with visual inspection alone.
Methods: We develop a deep learning-based method named DLRS to quantify interstitial fibrosis and inflammatory cell infiltration as tubulo-interstitial injury scores, from WSIs of renal biopsy specimens.
J Cutan Pathol
January 2025
Department of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
The term autoinflammatory keratinization diseases (AIKDs) was recently proposed as a unifying concept for diseases characterized by inflammation in the epidermis and upper dermis which leads to hyperkeratosis, caused by genetic perturbations of the innate immune system. We present a case of a patient with hidradenitis suppurativa and porokeratosis, two AIKDs, followed by a review of these conditions as well as other AIKDs. This case was distinguished by hypertrophic porokeratoses involving cystic hair follicles, showing histopathologic features of both conditions within single biopsy specimens.
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