Drug resistance related genes in lung adenocarcinoma predict patient prognosis and influence the tumor microenvironment

Yu, Hui; Zhang, Wenting; Xu, Xiangsheng; Chen, Shengjie

doi:10.1038/s41598-023-35743-y

Cited by 10 publications

(4 citation statements)

References 62 publications

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“…Low LAMA3 expression is linked to ovarian cancer treatment resistance and a poor prognosis [38,39]. Furthermore, lung adenocarcinoma's poor expression of LAMA3 plays a role in its proliferation and medication resistance [40]. NEDD9 expression could be employed as a gastric cancer predictive biomarker [41,42].…”

Section: Discussionmentioning

confidence: 99%

Identification of novel tumor antigens and immune subtypes in breast cancer patients for mRNA vaccine development

Yu,

Liu,

et al. 2024

Preprint

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Background:Breast cancer has overtaken lung cancer as the world's most common malignancy. Despite the development of some mRNA vaccines, no satisfactory vaccination for breast cancer has entered clinical application. Methods:In this study, we used multiple analyses of expression datasets from public sources to find new possible tumor antigens for breast cancer and to hunt for potential treatment-sensitive patients. Results: We identified the antigens DST, ANO6, LAMA3, and NEDD9 as putative candidates. Furthermore, we found five predictive genes to identify specific patients inclined for vaccination, namely TRBC2, CD3D, CD27, CD3E, and TRBV28. Following that, we discovered three immunological subtypes of breast cancer, Cluster 1 and Cluster 3, which were recognized as "cold tumors" with minimal immune activity and were more likely to respond to vaccination. We uncovered that Cluster 1 and Cluster 3 could be further separated into two subgroups, each with distinct immune cell infiltration patterns, suggesting that vaccine responses could differ among these patients. The findings of our study lay theoretical foundation for the development of mRNA vaccine and provide new opportunities for personalized treatment.

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Section: Discussionmentioning

confidence: 99%

Identification of novel tumor antigens and immune subtypes in breast cancer patients for mRNA vaccine development

Yu,

Liu,

et al. 2024

Preprint

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“…For instance, the molecular events in tumor cell-immunocyte interactions in the lung adenocarcinoma microenvironment need to be studied [68]. Moreover, determining drug-resistance genes could help in the prognosis of lung adenocarcinoma and improve the clinical efficacy of drugs [69]. Recently, the effects of mucus on airway macrophage activation and plasticity on gene and protein expressions and functional changes were determined [70].…”

Section: Lung Microenvironmentmentioning

confidence: 99%

Alveolar Organoids in Lung Disease Modeling

Purev,

Bahmed,

Kosmider

2024

Biomolecules

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Lung organoids display a tissue-specific functional phenomenon and mimic the features of the original organ. They can reflect the properties of the cells, such as morphology, polarity, proliferation rate, gene expression, and genomic profile. Alveolar type 2 (AT2) cells have a stem cell potential in the adult lung. They produce and secrete pulmonary surfactant and proliferate to restore the epithelium after damage. Therefore, AT2 cells are used to generate alveolar organoids and can recapitulate distal lung structures. Also, AT2 cells in human-induced pluripotent stem cell (iPSC)-)-derived alveolospheres express surfactant proteins and other factors, indicating their application as suitable models for studying cell–cell interactions. Recently, they have been utilized to define mechanisms of disease development, such as COVID-19, lung cancer, idiopathic pulmonary fibrosis, and chronic obstructive pulmonary disease. In this review, we show lung organoid applications in various pulmonary diseases, drug screening, and personalized medicine. In addition, stem cell-based therapeutics and approaches relevant to lung repair were highlighted. We also described the signaling pathways and epigenetic regulation of lung regeneration. It is critical to identify novel regulators of alveolar organoid generations to promote lung repair in pulmonary diseases.

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“…Using TOR1AIP1 and other frequently mutated genes (TP53, KRAS, APC, PIK3CA, KMT2D, TERT, ARID1A, EGFR, KMT2C, FAT1) as the keyword input, we selected the "GDSC drug sensitivity and expression correlation" option. Through this analysis, we obtained valuable insights into the correlation between drug sensitivity and the expression of the above genes [28,29].…”

Section: Drug Sensitivity Studymentioning

confidence: 99%

Investigating Torsin‐1A‐interacting protein 1 as a predictive and immunological biomarker in cancer

Kaur,

Suri,

Shinde

2023

iLABMED

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BackgroundCancer poses a significant global challenge, and with the projected rise in cancer incidence, there is an urgent need to discover new targets and treatments to improve patient outcomes. Recent advancements in genomics technologies have enhanced our understanding of cancer's complexities and led to the emergence of pan‐cancer analysis as a valuable approach for identifying tumor targets. Torsin‐1A‐interacting protein 1 (TOR1AIP1) is a membrane protein involved in various cellular processes. Emerging evidence suggests its potential involvement in cancer.MethodsIn this study, we conducted a comprehensive analysis of multiple databases to explore TOR1AIP1 expression across different cancer types and stages. We also investigated its correlation with clinical outcomes, such as survival rates and drug sensitivity.ResultsThe results of our analysis showed significant deregulation of TOR1AIP1 expression in multiple cancer types and its association with clinical outcomes, with a particular emphasis on kidney renal clear cell carcinoma. The results of our study highlight the potential predictive value of TOR1AIP1 in cancer prognosis and therapy.ConclusionsThis study establishes a solid foundation and rationale for future experimental investigations, which will contribute to a deeper understanding of the significance of TOR1AIP1 in different cancer types, specifically in kidney renal clear cell carcinoma.

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Drug resistance related genes in lung adenocarcinoma predict patient prognosis and influence the tumor microenvironment

Cited by 10 publications

References 62 publications

Identification of novel tumor antigens and immune subtypes in breast cancer patients for mRNA vaccine development

Identification of novel tumor antigens and immune subtypes in breast cancer patients for mRNA vaccine development

Alveolar Organoids in Lung Disease Modeling

Investigating Torsin‐1A‐interacting protein 1 as a predictive and immunological biomarker in cancer

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