Figure S1 from <i>De Novo</i> and Histologically Transformed Small-Cell Lung Cancer Is Sensitive to Lurbinectedin Treatment Through the Modulation of EMT and NOTCH Signaling Pathways Article Swipe
Subhamoy Chakraborty
,
Charles Coleman
,
Parvathy Manoj
,
Deniz Demircioğlu
,
Nisargbhai Shah
,
Elisa de Stanchina
,
Charles M. Rudin
,
Dan Hasson
,
Triparna Sen
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1158/1078-0432.30708498
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1158/1078-0432.30708498
Figure S1. Lurbinectedin decreases cell viability in a time and dose-dependent manner.
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Metadata
- Type
- article
- Landing Page
- https://doi.org/10.1158/1078-0432.30708498
- OA Status
- gold
- OpenAlex ID
- https://openalex.org/W7106611970
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7106611970Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/1078-0432.30708498Digital Object Identifier
- Title
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Figure S1 from <i>De Novo</i> and Histologically Transformed Small-Cell Lung Cancer Is Sensitive to Lurbinectedin Treatment Through the Modulation of EMT and NOTCH Signaling PathwaysWork title
- Type
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articleOpenAlex work type
- Publication year
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2025Year of publication
- Publication date
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2025-11-25Full publication date if available
- Authors
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Subhamoy Chakraborty, Charles Coleman, Parvathy Manoj, Deniz Demircioğlu, Nisargbhai Shah, Elisa de Stanchina, Charles M. Rudin, Dan Hasson, Triparna SenList of authors in order
- Landing page
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https://doi.org/10.1158/1078-0432.30708498Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1158/1078-0432.30708498Direct OA link when available
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Lung cancer, Cancer research, Notch signaling pathway, Signal transduction, Medicine, Cell, Lung, Cancer, Modulation (music), Biology, Metastasis, Cell biology, Cell signaling, NF-κB, Pathology, Chemistry, Cell survivalTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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