Highlights in the Pathological and Morphological Diagnosis of Tumors

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1552

Special Issue Editors


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Guest Editor
Department of Pathology, Riga Stradins University, 16 Dzirciema Street, LV-1007 Riga, Latvia
Interests: morphological prognostic factors and molecular profile of cancer; tumour microenvironment; cancer stem cells; tumour heterogeneity; hereditary cancer; digital pathology
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Guest Editor
1. Latvian Institute of Organic Synthesis, 21 Aizkraukles Street, LV-1006 Riga, Latvia
2. Department of Pathology, Riga Stradins University, 16 Dzirciema Street, LV-1007 Riga, Latvia
Interests: organic chemistry and molecular pathology

Special Issue Information

Dear Colleagues,

Malignant tumours are among the most prevalent diseases worldwide. An early, correct and complete diagnosis of the initial disease or recurrence, followed by appropriate and personalized treatment, can significantly reduce mortality, physical morbidity and psychological distress in affected patients. For many tumour entities, pathology represents the diagnostic “gold standard” in order to reach the diagnosis, ensure staging, and predict prognosis or the response to treatment.

The Special Issue will be devoted to advances and best practice in diagnostic pathology for cancer evaluation. The topics broadly include, but are not limited to:

  • Tissue investigation in cancer diagnostics and treatment regarding both the most common and infrequent tumours: cancers of the breast, lung, prostate, digestive tract, pancreas, liver and biliary system, as well as reproductive, endocrine or other. The authors should focus on histopathologic diagnostic protocols; the complementarity of histopathologic and molecular investigations in limited tissue material; differential diagnostics; molecular classifications and treatment-related molecular changes; the heterogeneity of tumours; as well as on the morphological analysis of the tumour microenvironment, angiogenesis, metabolism, stemness, and tumour-related inflammation;
  • The problems and solutions in the morphological diagnostics of rare tumours;
  • Digital pathology in tumour diagnostics;
  • Molecular pathology in cancer diagnostics;
  • Ancillary studies and the future of diagnostic tumour pathology: technological studies and advancements including the latest developments or optimized protocols for immunohistochemistry and/or in situ hybridisation; miRNA analysis; types and technologies of tissue microscopy; in vivo endoscopic optical microscopy; the correlation between tissue assessment and non-invasive diagnostics, etc.

Original articles and reviews are welcome. Interesting images are welcome as an attractive form of scientific article; however, these should be supplemented by a scientifically sound literature review ensuring a representative insight in the given pathology.

Prof. Dr. Ilze Štrumfa
Dr. Boriss Strumfs
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • breast cancer
  • lung cancer
  • colorectal cancer
  • rare tumours
  • pathology
  • immunohistochemistry
  • molecular pathology
  • cancer microenvironment
  • molecular classification
  • cancer heterogeneity
  • cancer stem cells

Published Papers (1 paper)

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Research

13 pages, 4031 KiB  
Article
Membranous Expression of Heart Development Protein with EGF-like Domain 1 Is Associated with a Good Prognosis in Patients with Bladder Cancer
by Kohei Mori, Kazumasa Matsumoto, Masaomi Ikeda, Dai Koguchi, Yuriko Shimizu, Hideyasu Tsumura, Daisuke Ishii, Shoutaro Tsuji, Yuichi Sato and Masatsugu Iwamura
Diagnostics 2023, 13(19), 3067; https://doi.org/10.3390/diagnostics13193067 - 27 Sep 2023
Viewed by 1210
Abstract
Objective: To investigate the correlation between total protein expression of heart development protein with EGF-like domain 1 (HEG1) and clinicopathological characteristics in patients with bladder cancer (BC) after radical cystectomy (RC). Patients and Methods: We retrospectively analyzed data from 110 patients who underwent [...] Read more.
Objective: To investigate the correlation between total protein expression of heart development protein with EGF-like domain 1 (HEG1) and clinicopathological characteristics in patients with bladder cancer (BC) after radical cystectomy (RC). Patients and Methods: We retrospectively analyzed data from 110 patients who underwent RC at Kitasato University Hospital. And we prepared an anti-HEG1 monoclonal antibody W10B9, which can detect total HEG1 protein. HEG1 protein expression in tumor cells was evaluated separately for membrane and cytoplasmic staining using immunohistochemistry. Results: Membranous HEG1 expression was associated with absent lymphovascular invasion (p < 0.01) and low pT stage (p < 0.01). Kaplan–Meier analysis revealed that the membranous HEG1-positive group had significantly long recurrence-free survival (RFS) (p < 0.01) and cancer-specific survival (p = 0.01). Expression of membranous HEG1 was identified as an independent prognostic factor for RFS (p = 0.04). There were no significant differences between cytoplasmic HEG1 expression and clinicopathologic factors including prognosis. Conclusion: The expression of membranous HEG1 could serve as a favorable prognostic indicator in patients with BC treated with RC. Full article
(This article belongs to the Special Issue Highlights in the Pathological and Morphological Diagnosis of Tumors)
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