ORIGINAL RESEARCH article

Front. Microbiol.

Sec. Infectious Agents and Disease

Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1615057

Superior Diagnostic Performance of Grocott Methenamine Silver Staining in Pulmonary Cryptococcosis: A Multicenter, Large-Sample Cohort Study

Provisionally accepted
Suijing  WangSuijing Wang1Jieyi  LaiJieyi Lai1Chengyou  ZhengChengyou Zheng1Pengfei  YangPengfei Yang2Zhengyi  ZhouZhengyi Zhou1Haibo  WuHaibo Wu1Mayan  HuangMayan Huang1Xinke  ZhangXinke Zhang1Yongbo  XiaoYongbo Xiao1Jierong  ChenJierong Chen1Chao  MaChao Ma1Keming  ChenKeming Chen1Liyan  LinLiyan Lin3*Huanyu  LiuHuanyu Liu4*Yubo  CaiYubo Cai5*Xiaolei  XueXiaolei Xue6*Zizi  LiZizi Li2*Jiewei  ChenJiewei Chen1*
  • 1Sun Yat-sen University Cancer Center (SYSUCC), Guangzhou, China
  • 2The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, China
  • 3Fujian Provincial Cancer Hospital, Fuzhou, Fujian Province, China
  • 4Shenzhen Hospital, Peking University, Shenzhen, Beijing Municipality, China
  • 5Jiangmen Central Hospital, Jiangmen, Guangdong, China
  • 6Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China

The final, formatted version of the article will be published soon.

In the histopathological diagnosis of pulmonary fungal infections, particularly pulmonary cryptococcosis, the diagnostic performance of different staining techniques varies significantly, often confounding pathologists. This study aims to systematically analyze Grocott methenamine silver (GMS), periodic acid-Schiff (PAS), and alcian blue (AB) staining methods to establish evidence-based diagnostic criteria. We incorporated histopathological data from 790 cases of pulmonary cryptococcosis that were definitively diagnosed in six tertiary hospitals. Multidimensional statistical analyses were performed to evaluate the performance of GMS, PAS, and AB staining methods.GMS staining had a 100% positive diagnostic rate among all cohorts, which was significantly higher than that of PAS staining (93.7%, P < 0.001) and AB staining (75.4%, P < 0.001). Further statistical analyses indicated that GMS was superior to PAS and AB in detecting the number of cryptococci and in demonstrating the staining intensities for both intracellular and extracellular cryptococci (P < 0.001 for all comparisons). In the necrotic cores and peri-necrotic margins of granulomas, GMS more clearly localized cryptococci and detected a higher fungal burden. Even in colonies with minimal polysaccharides in fungal cell walls and capsules, GMS exhibited high sensitivity and provided clear visualization. GMS staining is the best method for diagnosing pulmonary cryptococcosis because of its high sensitivity and excellent visualization capabilities. Using GMS alone can meet the requirements for diagnostic accuracy, and we recommend GMS as the gold standard for histopathological confirmation of pulmonary cryptococcosis.

Keywords: GMS, PAS, ab, Histology, Pulmonary cryptococcosis

Received: 20 Apr 2025; Accepted: 05 May 2025.

Copyright: © 2025 Wang, Lai, Zheng, Yang, Zhou, Wu, Huang, Zhang, Xiao, Chen, Ma, Chen, Lin, Liu, Cai, Xue, Li and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Liyan Lin, Fujian Provincial Cancer Hospital, Fuzhou, Fujian Province, China
Huanyu Liu, Shenzhen Hospital, Peking University, Shenzhen, 518036, Beijing Municipality, China
Yubo Cai, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China
Xiaolei Xue, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong Province, China
Zizi Li, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, 519000, Guangdong Province, China
Jiewei Chen, Sun Yat-sen University Cancer Center (SYSUCC), Guangzhou, China

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