完善 OLFM4 在胃癌前体中的诊断作用:呼吁采用严格的方法学

IF 27.7 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Tai Zhang, Xudong Tang
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引用次数: 0

摘要

这篇评论对 Wei 等人发表在该杂志上的研究进行了深思熟虑的讨论,该研究涉及 Olfactomedin 4 (OLFM4) 在胃癌前病变--不完全性肠化生中的作用。原论文将 OLFM4 介绍为一种新型生物标记物,与已有的标记物相比,其诊断效果可能更强。不过,本文也指出了一些方法学和解释学方面的注意事项。组织病理学研究结果可以通过使用更高的放大倍率来完善,以更好地阐明 OLFM4 的细胞定位。将关键染色的高分辨率图像纳入研究将提高表达谱分析的稳健性。统计方法可以通过采用更严格的定量方法来加强。此外,整合免疫荧光双重染色可提高结果的可靠性。不同数据集之间免疫组化信号的差异表明,有必要进一步调查组织切片的代表性。明确 "胃癌细胞癌前病变 "这一术语,使其与广泛接受的定义相一致,将使结果更加清晰。可以重新考虑选择用 MNNG 处理的 GES-1 细胞模型,转而使用器官组织、气液界面模型和胃癌特异性细胞系等更成熟的模型。鉴于有关这种方法的文献有限且相互矛盾,体内 MNNG-酒精组合模型可能需要更多的经验支持,以确保准确描述 IM 的发病机制。评论最后呼吁在生物标志物研究中采用严格的标准化方法,以确保生物标志物研究的临床适用性和可靠性,尤其是在胃癌检测和干预方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refining the diagnostic utility of OLFM4 in gastric cancer precursors: a call for rigorous methodologies
This commentary offers a thoughtful discussion of the study by Wei et al. published in the journal on the role of Olfactomedin 4 (OLFM4) in incomplete intestinal metaplasia, a gastric precancerous condition. The original paper introduces OLFM4 as a novel biomarker with potential enhanced diagnostic efficacy compared to established markers. However, several methodological and interpretive considerations are noted. The histopathological findings could be refined by using higher magnification to better elucidate the cellular localization of OLFM4. Including high-resolution images for key stainings would enhance the study’s robustness in expression profiling. The statistical approach could be strengthened by employing more rigorous, quantitative methodologies. Additionally, integrating immunofluorescence double-staining may improve the reliability of the results. Discrepancies in immunohistochemical signals across datasets suggest a need for further investigation into tissue section representativeness. Clarifying the term “precancerous lesions of gastric carcinoma cells” to align with widely accepted definitions would enhance clarity. The choice of the GES-1 cell model treated with MNNG could be reconsidered in favor of more established models such as organoids, air-liquid interface models, and gastric cancer-specific cell lines. The in vivo MNNG-alcohol combination model might require additional empirical support, given the limited and conflicting literature on this approach, to ensure an accurate portrayal of IM pathogenesis. The commentary concludes with a call for stringent and standardized methodologies in biomarker research to ensure the clinical applicability and reliability of biomarker studies, particularly in the context of gastric cancer detection and intervention.
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来源期刊
Molecular Cancer
Molecular Cancer 医学-生化与分子生物学
CiteScore
54.90
自引率
2.70%
发文量
224
审稿时长
2 months
期刊介绍: Molecular Cancer is a platform that encourages the exchange of ideas and discoveries in the field of cancer research, particularly focusing on the molecular aspects. Our goal is to facilitate discussions and provide insights into various areas of cancer and related biomedical science. We welcome articles from basic, translational, and clinical research that contribute to the advancement of understanding, prevention, diagnosis, and treatment of cancer. The scope of topics covered in Molecular Cancer is diverse and inclusive. These include, but are not limited to, cell and tumor biology, angiogenesis, utilizing animal models, understanding metastasis, exploring cancer antigens and the immune response, investigating cellular signaling and molecular biology, examining epidemiology, genetic and molecular profiling of cancer, identifying molecular targets, studying cancer stem cells, exploring DNA damage and repair mechanisms, analyzing cell cycle regulation, investigating apoptosis, exploring molecular virology, and evaluating vaccine and antibody-based cancer therapies. Molecular Cancer serves as an important platform for sharing exciting discoveries in cancer-related research. It offers an unparalleled opportunity to communicate information to both specialists and the general public. The online presence of Molecular Cancer enables immediate publication of accepted articles and facilitates the presentation of large datasets and supplementary information. This ensures that new research is efficiently and rapidly disseminated to the scientific community.
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