Association of Multi-Kingdom Skin Microbiota With Radiation Dermatitis in Patients With Breast Cancer After Reconstructive Surgery: A Prospective, Longitudinal Study.

IF 6.4 1区 医学 Q1 ONCOLOGY
Wei Shi, Li Zhang, Zhiming Li, Xu Zhao, Wailok Lui, Jin Meng, Xingxing Chen, Xin Mei, Jinli Ma, Zhaozhi Yang, Jingjing Xia, Jiucun Wang, Zhen Zhang, Zhimin Shao, Xiaoli Yu, Xiaomao Guo
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Abstract

Background: The clinical significance of multi-kingdom skin microbiota in acute radiation dermatitis (ARD) is not well understood. We hypothesized that skin microbiota is associated with ARD in patients with breast cancer (BC) undergoing radiation therapy (RT) after reconstructive surgery.

Methods and materials: A total of 412 skin microbiota samples from 103 patients, taken before and after RT, from both the treated and contralateral healthy sides, were analyzed using bacterial 16S ribosomal RNA (rRNA) V3-V4 region and fungal rRNA internal transcribed spacer (ITS) sequencing. ARD was graded using the Toxicity Criteria of the Radiation Therapy Oncology Group (RTOG). Patients were divided into 2 groups: no or mild ARD subgroup (N_MD, RTOG grade 0-1) and significant ARD subgroup (SD, RTOG grade ≥ 2).

Results: Significant differences in skin microbiota were observed between the N_MD and SD subgroups, with Staphylococcus, Cutibacterium, and Malassezia genera enriched in SD and Ralstonia and Methyloversatilis enriched in N_MD. Network analysis revealed that interkingdom and intrakingdom ecological interactions were more notable and stable in N_MD than SD over the course of RT. Importantly, 2 dermotypes with robust patterns of microbial networks were identified, with the "D-dermotype" (highly diversified and dominated by Devosiaceae) composing entirely of N_MD. Dermatitis-prediction classifiers were constructed. Classifiers I and III, which included bacterial variables with or without fungal variables, performed significantly better than classifier II, which relied solely on fungal variables. Bacteria-based classifier I yielded the best area under the curve in the test set of 94.64% (95% confidence interval, 83.58%-100%).

Conclusions: This prospective longitudinal study indicated an association between multi-kingdom skin microbiota and the development of significant ARD in patients with BC undergoing RT after reconstructive surgery, implying the possible application of skin microbiota in the prediction of ARD and microbial therapy in the management of ARD.

多领域皮肤微生物群与乳腺癌重建术后放射性皮炎的关系:一项前瞻性、纵向研究。
背景:急性放射性皮炎(ARD)中多界皮肤微生物群的临床意义尚不清楚。我们假设皮肤微生物群与乳腺癌(BC)重建手术后接受放射治疗(RT)的患者的ARD有关。方法与材料:采用细菌16S核糖体RNA (rRNA) V3-V4区和真菌rRNA内转录间隔物(ITS)测序方法,对103例治疗侧和对侧健康侧RT前后皮肤微生物群412份样本进行分析。使用放射治疗肿瘤组毒性标准(RTOG)对ARD进行分级。患者分为2组:无或轻度ARD亚组(N_MD, RTOG分级0-1)和显著ARD亚组(SD, RTOG分级≥2)。结果:N_MD亚组和SD亚组的皮肤微生物群存在显著差异,SD亚组中富含葡萄球菌、Cutibacterium和Malassezia属,而N_MD亚组中富含Ralstonia和methyloverlis。网络分析表明,N_MD的界间和界内生态相互作用比SD更显著和稳定。重要的是,鉴定出2种具有强大微生物网络模式的皮型,其中“d -皮型”(高度多样化,以Devosiaceae为主)完全由N_MD组成。构建了皮炎预测分类器。分类器I和III,其中包括细菌变量有或没有真菌变量,表现明显优于分类器II,仅依赖真菌变量。基于细菌的分类器I在测试集中的曲线下面积为94.64%(95%置信区间为83.58%-100%)。结论:这项前瞻性纵向研究表明,在重建手术后接受RT治疗的BC患者中,多领域皮肤微生物群与显著ARD的发生存在关联,这意味着皮肤微生物群可能在ARD的预测和ARD的微生物治疗中应用。
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来源期刊
CiteScore
11.00
自引率
7.10%
发文量
2538
审稿时长
6.6 weeks
期刊介绍: International Journal of Radiation Oncology • Biology • Physics (IJROBP), known in the field as the Red Journal, publishes original laboratory and clinical investigations related to radiation oncology, radiation biology, medical physics, and both education and health policy as it relates to the field. This journal has a particular interest in original contributions of the following types: prospective clinical trials, outcomes research, and large database interrogation. In addition, it seeks reports of high-impact innovations in single or combined modality treatment, tumor sensitization, normal tissue protection (including both precision avoidance and pharmacologic means), brachytherapy, particle irradiation, and cancer imaging. Technical advances related to dosimetry and conformal radiation treatment planning are of interest, as are basic science studies investigating tumor physiology and the molecular biology underlying cancer and normal tissue radiation response.
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