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Clinical and functional significance of a novel ferroptosis-related prognosis signature in lung adenocarcinoma.

Clinical and translational medicine

Wang Z, Diao J, Zhao X, Xu Z, Zhang X.
PMID: 33784012
Clin Transl Med. 2021 Mar;11(3):e364. doi: 10.1002/ctm2.364.

No abstract available.

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Wang Z, Diao J, Zhao X, et al. Clinical and functional significance of a novel ferroptosis-related prognosis signature in lung adenocarcinoma. Clin Transl Med. 2021;11(3):e364doi: 10.1002/ctm2.364.
Wang, Z., Diao, J., Zhao, X., Xu, Z., & Zhang, X. (2021). Clinical and functional significance of a novel ferroptosis-related prognosis signature in lung adenocarcinoma. Clinical and translational medicine, 11(3), e364. https://doi.org/10.1002/ctm2.364
Wang, Ziqi, et al. "Clinical and functional significance of a novel ferroptosis-related prognosis signature in lung adenocarcinoma." Clinical and translational medicine vol. 11,3 (2021): e364. doi: https://doi.org/10.1002/ctm2.364
Wang Z, Diao J, Zhao X, Xu Z, Zhang X. Clinical and functional significance of a novel ferroptosis-related prognosis signature in lung adenocarcinoma. Clin Transl Med. 2021 Mar;11(3):e364. doi: 10.1002/ctm2.364. PMID: 33784012; PMCID: PMC7968124.
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[Lung Adenocarcinomas with Pulmonary Miliary Metastases: A Case Report and Literature Review].

Zhongguo fei ai za zhi = Chinese journal of lung cancer

Li L, Zhou L, Zhang J.
PMID: 31874677
Zhongguo Fei Ai Za Zhi. 2019 Dec 20;22(12):798-804. doi: 10.3779/j.issn.1009-3419.2019.12.11.

BACKGROUND: Lung adenocarcinoma with miliary metastasis in both lungs is easily misdiagnosed. The aim of this study is to investigate the clinical features of lung adenocarcinoma with miliary metastases in both lungs and to improve the clinician's understanding of...

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Li L, Zhou L, Zhang J. [Lung Adenocarcinomas with Pulmonary Miliary Metastases: A Case Report and Literature Review]. Zhongguo Fei Ai Za Zhi. 2019;22(12):798-804doi: 10.3779/j.issn.1009-3419.2019.12.11.
Li, L., Zhou, L., & Zhang, J. (2019). [Lung Adenocarcinomas with Pulmonary Miliary Metastases: A Case Report and Literature Review]. Zhongguo fei ai za zhi = Chinese journal of lung cancer, 22(12), 798-804. https://doi.org/10.3779/j.issn.1009-3419.2019.12.11
Li, Linxue, et al. "[Lung Adenocarcinomas with Pulmonary Miliary Metastases: A Case Report and Literature Review]." Zhongguo fei ai za zhi = Chinese journal of lung cancer vol. 22,12 (2019): 798-804. doi: https://doi.org/10.3779/j.issn.1009-3419.2019.12.11
Li L, Zhou L, Zhang J. [Lung Adenocarcinomas with Pulmonary Miliary Metastases: A Case Report and Literature Review]. Zhongguo Fei Ai Za Zhi. 2019 Dec 20;22(12):798-804. doi: 10.3779/j.issn.1009-3419.2019.12.11. Chinese. PMID: 31874677; PMCID: PMC6935038.
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Correlation between the expression of folate receptor alpha (FRα) and clinicopathological features in patients with lung adenocarcinoma.

Lung cancer (Amsterdam, Netherlands)

Tamura N, Fujiwara Y, Hashimoto T, Shiraishi H, Kitano S, Shimizu T, Kuwano K, Yamamoto N, Motoi N.
PMID: 32450493
Lung Cancer. 2020 Jul;145:152-157. doi: 10.1016/j.lungcan.2020.05.002. Epub 2020 May 11.

OBJECTIVES: Folate receptor alpha (FRα) is expressed on the cell surface, mediates its intracellular transport via receptor-mediated endocytosis, and is involved in cell division. Whether FRα could be a potential therapeutic target in FRα-expressing cancers remains unknown. Here, we...

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Tamura N, Fujiwara Y, Hashimoto T, et al. Correlation between the expression of folate receptor alpha (FRα) and clinicopathological features in patients with lung adenocarcinoma. Lung Cancer. 2020;145:152-157doi: 10.1016/j.lungcan.2020.05.002.
Tamura, N., Fujiwara, Y., Hashimoto, T., Shiraishi, H., Kitano, S., Shimizu, T., Kuwano, K., Yamamoto, N., & Motoi, N. (2020). Correlation between the expression of folate receptor alpha (FRα) and clinicopathological features in patients with lung adenocarcinoma. Lung cancer (Amsterdam, Netherlands), 145152-157. https://doi.org/10.1016/j.lungcan.2020.05.002
Tamura, Nobumasa, et al. "Correlation between the expression of folate receptor alpha (FRα) and clinicopathological features in patients with lung adenocarcinoma." Lung cancer (Amsterdam, Netherlands) vol. 145 (2020): 152-157. doi: https://doi.org/10.1016/j.lungcan.2020.05.002
Tamura N, Fujiwara Y, Hashimoto T, Shiraishi H, Kitano S, Shimizu T, Kuwano K, Yamamoto N, Motoi N. Correlation between the expression of folate receptor alpha (FRα) and clinicopathological features in patients with lung adenocarcinoma. Lung Cancer. 2020 Jul;145:152-157. doi: 10.1016/j.lungcan.2020.05.002. Epub 2020 May 11. PMID: 32450493.
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Across the Globe: Proteogenomic Landscapes of Lung Cancer.

Cell

Yanovich-Arad G, Geiger T.
PMID: 32649881
Cell. 2020 Jul 09;182(1):9-11. doi: 10.1016/j.cell.2020.06.016.

In this issue of Cell, articles by Gillette et al., Chen et al., and Xu, et al. collectively provide a deep and comprehensive proteogenomic analysis of lung adenocarcinoma, addressing differences in patient ethnicity and smoking background. They highlight the...

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Yanovich-Arad G, Geiger T. Across the Globe: Proteogenomic Landscapes of Lung Cancer. Cell. 2020;182(1):9-11doi: 10.1016/j.cell.2020.06.016.
Yanovich-Arad, G., & Geiger, T. (2020). Across the Globe: Proteogenomic Landscapes of Lung Cancer. Cell, 182(1), 9-11. https://doi.org/10.1016/j.cell.2020.06.016
Yanovich-Arad, Gali, and Geiger, Tamar. "Across the Globe: Proteogenomic Landscapes of Lung Cancer." Cell vol. 182,1 (2020): 9-11. doi: https://doi.org/10.1016/j.cell.2020.06.016
Yanovich-Arad G, Geiger T. Across the Globe: Proteogenomic Landscapes of Lung Cancer. Cell. 2020 Jul 09;182(1):9-11. doi: 10.1016/j.cell.2020.06.016. PMID: 32649881.
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Bioinformatics Analysis of Microarray Datasets to Identify Prognostic Factors in Lung Adenocarcinoma.

DNA and cell biology

Jin X, Xu L, Guan Y, Zhang Z, Li H.
PMID: 32330391
DNA Cell Biol. 2020 Jun;39(6):965-974. doi: 10.1089/dna.2019.5203. Epub 2020 Apr 24.

Most patients with lung adenocarcinoma (LUAD) present high recurrence rate and poor prognosis after therapy. Therefore, the purpose of this study was to identify prognostic factors involved in LUAD. Five microarray datasets (including GSE75037, GSE63459, GSE43458, GSE32863, and GSE10072)...

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Jin X, Xu L, Guan Y, et al. Bioinformatics Analysis of Microarray Datasets to Identify Prognostic Factors in Lung Adenocarcinoma. DNA Cell Biol. 2020;39(6):965-974doi: 10.1089/dna.2019.5203.
Jin, X., Xu, L., Guan, Y., Zhang, Z., & Li, H. (2020). Bioinformatics Analysis of Microarray Datasets to Identify Prognostic Factors in Lung Adenocarcinoma. DNA and cell biology, 39(6), 965-974. https://doi.org/10.1089/dna.2019.5203
Jin, Xiang, et al. "Bioinformatics Analysis of Microarray Datasets to Identify Prognostic Factors in Lung Adenocarcinoma." DNA and cell biology vol. 39,6 (2020): 965-974. doi: https://doi.org/10.1089/dna.2019.5203
Jin X, Xu L, Guan Y, Zhang Z, Li H. Bioinformatics Analysis of Microarray Datasets to Identify Prognostic Factors in Lung Adenocarcinoma. DNA Cell Biol. 2020 Jun;39(6):965-974. doi: 10.1089/dna.2019.5203. Epub 2020 Apr 24. PMID: 32330391.
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Diffusion kurtosis imaging: correlation analysis of quantitative model parameters with molecular features in advanced lung adenocarcinoma.

Chinese medical journal

Peng Q, Tang W, Huang Y, Wu N, Yang L, Li N.
PMID: 32960838
Chin Med J (Engl). 2020 Oct 20;133(20):2403-2409. doi: 10.1097/CM9.0000000000001074.

BACKGROUND: Due to development of magnetic resonance-based functional imaging, it is easier to detect micro-structural alterations of tumor tissues. The aim of this study was to conduct a preliminary evaluation of the correlation of non-Gaussian diffusion kurtosis imaging (DKI)...

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Peng Q, Tang W, Huang Y, et al. Diffusion kurtosis imaging: correlation analysis of quantitative model parameters with molecular features in advanced lung adenocarcinoma. Chin Med J (Engl). 2020;133(20):2403-2409doi: 10.1097/CM9.0000000000001074.
Peng, Q., Tang, W., Huang, Y., Wu, N., Yang, L., & Li, N. (2020). Diffusion kurtosis imaging: correlation analysis of quantitative model parameters with molecular features in advanced lung adenocarcinoma. Chinese medical journal, 133(20), 2403-2409. https://doi.org/10.1097/CM9.0000000000001074
Peng, Qin, et al. "Diffusion kurtosis imaging: correlation analysis of quantitative model parameters with molecular features in advanced lung adenocarcinoma." Chinese medical journal vol. 133,20 (2020): 2403-2409. doi: https://doi.org/10.1097/CM9.0000000000001074
Peng Q, Tang W, Huang Y, Wu N, Yang L, Li N. Diffusion kurtosis imaging: correlation analysis of quantitative model parameters with molecular features in advanced lung adenocarcinoma. Chin Med J (Engl). 2020 Oct 20;133(20):2403-2409. doi: 10.1097/CM9.0000000000001074. PMID: 32960838; PMCID: PMC7575189.
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Identification and analysis of genes associated with lung adenocarcinoma by integrated bioinformatics methods.

Annals of human genetics

Xie H, Zhang JF, Li Q.
PMID: 33847374
Ann Hum Genet. 2021 May;85(3):125-137. doi: 10.1111/ahg.12418. Epub 2021 Apr 13.

Lung adenocarcinoma (LUAD) is one of the most common forms of lung cancer, with a very high mortality rate. Although the treatments available for LUAD have become more effective in recent years, significant improvement is still needed. Advances in...

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Xie H, Zhang JF, Li Q. Identification and analysis of genes associated with lung adenocarcinoma by integrated bioinformatics methods. Ann Hum Genet. 2021;85(3):125-137doi: 10.1111/ahg.12418.
Xie, H., Zhang, J. F., & Li, Q. (2021). Identification and analysis of genes associated with lung adenocarcinoma by integrated bioinformatics methods. Annals of human genetics, 85(3), 125-137. https://doi.org/10.1111/ahg.12418
Xie, Hui, et al. "Identification and analysis of genes associated with lung adenocarcinoma by integrated bioinformatics methods." Annals of human genetics vol. 85,3 (2021): 125-137. doi: https://doi.org/10.1111/ahg.12418
Xie H, Zhang JF, Li Q. Identification and analysis of genes associated with lung adenocarcinoma by integrated bioinformatics methods. Ann Hum Genet. 2021 May;85(3):125-137. doi: 10.1111/ahg.12418. Epub 2021 Apr 13. PMID: 33847374.
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Studying Lineage Plasticity One Cell at a Time.

Cancer cell

Drapkin BJ, Minna JD.
PMID: 32781039
Cancer Cell. 2020 Aug 10;38(2):150-152. doi: 10.1016/j.ccell.2020.07.001.

The development and consequences of lineage plasticity during tumorigenesis have remained mysterious due to the limits of single-cell analysis. In this issue of Cancer Cell, LaFave et al. and Marjanovic et al. identify highly plastic subpopulations within lung adenocarcinoma...

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Drapkin BJ, Minna JD. Studying Lineage Plasticity One Cell at a Time. Cancer Cell. 2020;38(2):150-152doi: 10.1016/j.ccell.2020.07.001.
Drapkin, B. J., & Minna, J. D. (2020). Studying Lineage Plasticity One Cell at a Time. Cancer cell, 38(2), 150-152. https://doi.org/10.1016/j.ccell.2020.07.001
Drapkin, Benjamin J, and Minna, John D. "Studying Lineage Plasticity One Cell at a Time." Cancer cell vol. 38,2 (2020): 150-152. doi: https://doi.org/10.1016/j.ccell.2020.07.001
Drapkin BJ, Minna JD. Studying Lineage Plasticity One Cell at a Time. Cancer Cell. 2020 Aug 10;38(2):150-152. doi: 10.1016/j.ccell.2020.07.001. PMID: 32781039.
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Showing 1 to 8 of 8 entries