{
  "abstract": "Background Microbial communities inhabit various niches within the human body, playing crucial roles in modulating the host immune system and influencing responses to anticancer therapies. Recent studies have highlighted the presence of complex microbial communities in primary lung tumors; however, the microbiome associated with lung metastases remains largely unexplored.Methods To investigate the presence and relevance of the microbiome in lung metastases, we analyzed 16S rRNA sequencing data from tumor and paired normal tissues of 92 patients with lung metastases, including 92 tumor samples and 64 normal lung tissue samples. Besides, the microbial data of 58 primary lung tumor tissues were used for further combined analysis.Results We identified tissue-specific intratumor microbes, including those from colorectal metastases (33), bone metastases (22), sarcoma metastases (8), kidney metastases (8), breast metastases (7), and other organs (14). Biodiversity analysis revealed a significantly higher total number of species in the tumor group compared to normal tissues. Furthermore, alpha diversity analysis showed that both Shannon and Simpson diversity indices were significantly higher in the tumor group than in controls. Beta diversity, assessed using the Bray-Curtis distance, demonstrated a clear separation between the tumor and normal groups through nonmetric multidimensional scaling (NMDS; Adonis R2 = 0.038, p = 0.001). Next, we observed that Acinetobacter and Prevotella were significantly enriched in lung metastases, while Propionibacterium and Pseudomonas were more abundant in normal tissues. Compared to lung primary tumors, lung metastases were enriched with Lactobacillus, Faecalibacterium and Acinetobacter. Linear discriminant analysis effect size analysis of colorectal and bone metastases revealed that Lactobacillus was significantly enriched in colorectal cancer metastases (linear discriminant analysis > 2.0, p < 0.05). Additionally, we analyzed postoperative survival data of lung metastatic patients with colorectal cancer and developed a random forest model. The model exhibited a sensitivity of 1.0, specificity of 0.67, and an AUC of 0.81.Conclusions In conclusion, our study provides valuable insights into significant alterations in intratumor microbiome signatures between lung metastases and primary tumors, which can be used as a target for personalized cancer management strategies.Ethics Approval This study was approved by the ethics committee of Peking University People’s Hospital (No. 2020PHB292-01).",
  "authors": [
    {
      "affiliations": [
        "Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China"
      ],
      "name": "Haiming Chen"
    },
    {
      "affiliations": [
        "Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, Shanghai, China"
      ],
      "name": "Yi Ma"
    },
    {
      "affiliations": [
        "Peking University People’s Hospital, Beijing, Beijing, China"
      ],
      "name": "Mantang Qiu"
    }
  ],
  "title": "1141 Pan-cancer analyses reveal tumor-resident intracellular microbiota in lung metastatic cancer",
  "uid": "faad7024-e310-52eb-8248-9429678a7d3a"
}