ArticleTranslational lung cancer research2024
Microbiota modulate immune repertories in lung adenocarcinoma via microbiota-immunity interactive network.
Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Lower respiratory microbiota as modulators of tumor immunity in lung adenocarcinoma.BMC immunology · 2026Article
- Intratumoral Microbiota in Lung Cancer: Emerging Roles in TME Modulation and Immunotherapy Response.International journal of molecular sciences · 2025Review
- The tumor microbiome in cancer progression: mechanisms and therapeutic potential.Molecular cancer · 2025Review
- Spatial Heterogeneity of Intratumoral Microbiota: A New Frontier in Cancer Immunotherapy Resistance.Biomedicines · 2025Review
- Dual signaling cascade regulating gut-lung axis in Interleukin-6/Interleukin-17 for NSCLC immuno pathogenesis.Frontiers in immunology · 2025Review
- Cancer phenomics research hotspots and development trends: a bibliometric analysis from 2000 to 2023.Discover oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: While the resident microbiome of tumors has been shown to be associated with the occurrence and progression of non-small cell lung cancer, there remains a significant knowledge gap in understanding the correlation between the microbial spectrum and immunity response to cancer therapy. In the case of lung adenocarcinoma (LUAD), the tumor microenvironment, encompassing a diverse array of microbes and immune cells, plays a crucial role in modulating therapeutic response. Towards comprehending the underlying mechanism, we present the microbe-immunity interactive networks to delineate the microbiota and immunity repertoires for two distinct molecular subtypes in LUAD. Methods: We obtained multi-omics data of LUAD patients from the publicly available database. In this study, we conducted a systematic exploration of the microbial and immunological etiology of cancer prognosis, by integrating the microbiome, genome, transcriptome, and clinic data. The mutational signature analysis, transcriptome analysis, gene set enrichment analysis, and microbiota-immunity network analysis were performed. Results: Based on the transcriptome repertories, we classified the patients into two molecular subtypes and observed that the overall survival of molecular subtype 2 (MS2) was notably shortened. We identified the microbial biomarkers in patients that distinguished between these molecular subtypes. The significant up-regulation of γδT and neutrophil in MS2, suggesting the inflammation augmentation and stimulation of γδT activation. What is more, the MS2 are characterized by a correlation network between microbiota biomarkers and γδT cell, which may contribute to suppression of anti-tumor immunity and poor overall survival. Conclusions: Our findings not only display the repertoires of tumor microbiota and immune cells, but also elucidate the potential contribution of the microbiota-immunity correlation network to unfavorable overall survival and therapeutic resistance, thereby exerting profound implications on future LUAD therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.