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Journal ArticleDOI

Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer

TLDR
In this article, the heterogeneity of small cell lung cancer (SCLC) is defined by differential expression of ASCL1, NEUROD1, and POU2F3.
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This article is published in Cancer Cell.The article was published on 2021-11-08. It has received 111 citations till now. The article focuses on the topics: Adenocarcinoma & Metastasis.

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Clinical relevance of tumour-associated macrophages

TL;DR: The diversity of TAMs suggests different possibilities for exploiting particular subsets for therapeutic purposes; as a result, an arsenal of macrophage-targeted agents are currently being tested in the clinic and the inclusion of TAM data in precision oncology molecular tumour boards could become routine practice.
Journal ArticleDOI

Ferroptosis, necroptosis, and pyroptosis in the tumor microenvironment: perspectives for immunotherapy of SCLC.

TL;DR: In this paper , the authors summarize the roles of distinct ICD mechanisms on antitumor immunity and recent advances of ferroptosis-, necroptosis-and pyroptotic-inducing agents, and present perspectives on these cell death mechanisms in immunotherapy of small cell lung cancer.
Journal ArticleDOI

The translational challenges of precision oncology.

TL;DR: The translational challenges in the field of precision oncology are in part related to the biological complexity and diversity of this disease as discussed by the authors , and they have been further supported by large sequencing efforts and discoveries that further supported this notion.
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Targeting LSD1 rescues MHC class I antigen presentation and overcomes PD-L1 blockade resistance in small cell lung cancer.

TL;DR: In this paper , the role of the lysine-specific demethylase 1 (LSD1) as a determinant of MHC-I expression, functional antigen presentation, and immune activation in SCLC in vitro and in vivo through evaluation of both human and immunocompetent mouse models.
References
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Journal Article

Scikit-learn: Machine Learning in Python

TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
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limma powers differential expression analyses for RNA-sequencing and microarray studies

TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Journal ArticleDOI

Cancer statistics, 2020.

TL;DR: Slow momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers, and it is notable that long‐term rapid increases in liver cancer mortality have attenuated in women and stabilized in men.
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