Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgery

Zou, Yutian; Xie, Jun; Zheng, Shaoquan; Liu, Wenqing; Tang, Yuhui; Tian, Wenwen; Deng, Xinpei; Wu, Linyu; Zhang, Yue; Wong, Chau‐Wei; Tan, Dandan; Liu, Qing; Xie, Xiaoming

doi:10.1016/j.ijsu.2022.106936

Cited by 70 publications

(27 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Once successful, it will herald the possibility of g_ Fusobacterium DNA as a prognostic biomarker in OSCC. This is similar to identifying markers of cell death to predict the clinical treatment of tumors ( Zou et al, 2019 ), such as breast cancer ( Huang et al, 2019 ; Xie et al, 2019 ). In addition, our population-based statistics may provide insights to develop strategies to prevent and treat oral cancer by targeting the oral microbiota for future studies.…”

Section: Discussionmentioning

confidence: 88%

The significant clinical correlation of the intratumor oral microbiome in oral squamous cell carcinoma based on tissue-derived sequencing

Wen

et al. 2023

Front. Physiol.

View full text Add to dashboard Cite

Background: The microbiota is a critical component of the complex human microenvironment, impacting various physiological processes and disease development via the microbe–host interaction. In particular, the oral microbiota profoundly affects tumor development and progression. There is increasing evidence that oral microbiota is associated with the development of oral cancer, especially oral squamous cell carcinoma (OSCC).Methods: We comprehensively analyzed the oral microbiota in 133 OSCC samples worldwide. Subsequently, we evaluated the microbial compositions between OSCC patients and healthy people and their correlation with clinical parameters. The value of the oral microbiota as a diagnostic and prognostic biomarker was also determined.Results: This study found differences in critical oral microbiota between OSCC and normal controls. The most notable differences are present in p_Firmicutes, p_Actinobacteria, c_Fusobacteriia, o_Fusobacteriales, f_Fusobacteriaceae, and g_Fusobacterium. All six-level oral microorganisms were also associated with the clinical characteristics of OSCC, particularly with the clinical outcomes (survival time and status). We developed a predictive model based on this. We found that five different oral microorganisms have high confidence and can be used for clinical diagnosis and prognostic prediction, except for p_Actinobacteria.Conclusion: This study revealed that the intratumor oral microbiota of OSCC patients worldwide and the microbial signatures of OSCC patients possess similar properties in different regions, further refining the shortcomings of the current research field. We revealed that the oral microbiota could be used as a biomarker to reflect human health and disease progression status. This will provide new directions for tumor microbiome research. This means we can develop strategies through diet, probiotics, and antibiotics for cancer prevention and treatment.

show abstract

Section: Discussionmentioning

confidence: 88%

The significant clinical correlation of the intratumor oral microbiome in oral squamous cell carcinoma based on tissue-derived sequencing

Wen

et al. 2023

Front. Physiol.

View full text Add to dashboard Cite

show abstract

“…The disruption of the circadian rhythm results in the loss or reversal of the daily pattern and cytokine levels of M0 and M2 macrophages, which exhibit immunosuppression and homeostasis and are beneficial to tumor cell proliferation ( Chanmee et al, 2014 ; Aiello et al, 2020 ). For example, the high-risk group was found to be positively correlated with immunosuppressive cells such as M2 macrophages in two newly published studies on the prediction of triple-negative BC prognosis by cell death patterns ( Pu et al, 2022 ; Zou et al, 2022 ). In our prognostic model, M2 macrophage levels were significantly higher in the high-risk group than in the low-risk group, while T-cell CD8 and T-cell CD4 memory activation levels were significantly lower.…”

Section: Discussionmentioning

confidence: 99%

A circadian rhythm-related gene signature for prognosis, invasion and immune microenvironment of breast cancer

Wang

Liu²,

Wang³

et al. 2023

Front. Genet.

View full text Add to dashboard Cite

Background: Circadian dysregulation is linked to the onset and progression of cancer, but current knowledge of the role of circadian rhythm-related genes (CRRGs) in breast cancer (BC) is limited and incomplete. The purpose of this study was to investigate the potential role and immune-related prognostic significance of CRRGs in BC.Methods: The Cancer Genome Atlas breast cancer (TCGA-BRCA) genetic data were combined with 1369 CRRGs to create a model of BC prognosis-related CRRGs. To validate the model’s predictive power in TCGA and other external datasets, the Kaplan-Meier survival curve and receptor operation characteristic curve were plotted. The relationship between CRRGs model and gene enrichment pathways, immune cell infiltration, and differences in patient response to immune checkpoint inhibitors (ICIs) therapy was then discussed.Results: A CRRG-based eighteen-gene model was developed that accurately predicted the survival time of BC patients. Based on this model, BC patients can be classified as high or low risk. The high-risk group has negative immune cell infiltration (such as macrophages M0 and M2) and a poor therapeutic response to ICIs due to lower immune checkpoint gene expression. Furthermore, TCF7 and IFNG were found to be strongly associated with immune checkpoints in CRRGs model.Conclusion: The 18 CRRGs may be useful in assessing the prognosis of BC patients, studying immune infiltration, and developing more effective immunotherapy strategies.

show abstract

“…To convert the ensemble ids to the gene symbols, the “GeoTcgaData” R package was used. Multiple therapeutic cohorts were downloaded from the Gene Expression Omnibus (GEO) database (ID: GSE91061, GSE78220, GSE31210, GSE62452, GSE1456, GSE39582, GSE72970, GSE169455, GSE48277, GSE14814, GSE14208, and GSE96058) and a previous study (CheckMat) [ 33 , 51 ]. In case of need, the probes were mapped using the “AnnoProbe” R package.…”

Section: Methodsmentioning

confidence: 99%

The Pan-Cancer Multi-Omics Landscape of FOXO Family Relevant to Clinical Outcome and Drug Resistance

Xie

Zhang

Tian

et al. 2022

IJMS

Self Cite

View full text Add to dashboard Cite

The forkhead box O (FOXO) transcription factors (TFs) family are frequently mutated, deleted, or amplified in various human cancers, making them attractive candidates for therapy. However, their roles in pan-cancer remain unclear. Here, we evaluated the expression, prognostic value, mutation, methylation, and clinical features of four FOXO family genes (FOXO1, FOXO3, FOXO4, and FOXO6) in 33 types of cancers based on the Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases. We used a single sample gene set enrichment analysis (ssGSEA) algorithm to establish a novel index called “FOXOs score”. Moreover, we investigated the association between the FOXOs score and tumor microenvironment (TME), the responses to multiple treatments, along with drug resistance. We found that the FOXO family genes participated in tumor progression and were related to the prognosis in various types of cancer. We calculated the FOXOs score and found that it was significantly correlated with multiple malignant pathways in pan-cancer, including Wnt/beta-catenin signaling, TGF-beta signaling, and hedgehog signaling. In addition, the FOXOs score was also associated with multiple immune-related characteristics. Furthermore, the FOXOs score was sensitive for predicting the efficacy of diverse treatments in multiple cancers, especially immunotherapy. In conclusion, FOXO family genes were vital in pan-cancer and were strongly correlated with the TME. A high FOXOs score indicated an excellent immune-activated TME and sensitivity to multiple treatments. Hence, the FOXOs score might potentially be used as a biomarker in patients with a tumor.

show abstract

Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgery

Cited by 70 publications

References 61 publications

The significant clinical correlation of the intratumor oral microbiome in oral squamous cell carcinoma based on tissue-derived sequencing

The significant clinical correlation of the intratumor oral microbiome in oral squamous cell carcinoma based on tissue-derived sequencing

A circadian rhythm-related gene signature for prognosis, invasion and immune microenvironment of breast cancer

The Pan-Cancer Multi-Omics Landscape of FOXO Family Relevant to Clinical Outcome and Drug Resistance

Contact Info

Product

Resources

About