A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient

Belén Ríos-Sánchez, Guillermo Vigueras, Aaron García, Daniel Gómez-Bravo, Ernestina Menasalvas, María Torrente, Consuelo Parejo, Fotis Aisopos, Dimitrios Vogiatzis, Disha Purohit, Mariano Provencio, María-Esther Vidal, Alejandro Rodríguez-González · 2024

Read A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient by Belén Ríos-Sánchez, Guillermo Vigueras, Aaron García, Daniel Gómez-Bravo, Ernestina Menasalvas, María Torrente, Consuelo Parejo, Fotis Aisopos, Dimitrios Vogiatzis, Disha Purohit, Mariano Provencio, María-Esther Vidal, Alejandro Rodríguez-González (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11683279.txt.

Description

Belén Ríos-Sánchez and co-authors share a data set on more than twelve hundred lung cancer patients from a Madrid hospital, in a 2024 paper. Records cover diagnosis, treatment, and personal and medical history taken at intake. Gene and body traits of each patient are joined in one file.

The authors argue that such joined data can reveal how treatment choice, disease course, and side effects hang together. A sharper view of those links could raise hopes for patients and cut toxic harm. The set is offered for reuse by other teams. It comes from a single hospital's oncology ward, which both grounds it and bounds its reach.

Catalog record

CREATORBelén Ríos-Sánchez, Guillermo Vigueras, Aaron García, Daniel Gómez-Bravo, Ernestina Menasalvas, María Torrente, Consuelo Parejo, Fotis Aisopos, Dimitrios Vogiatzis, Disha Purohit, Mariano Provencio, María-Esther Vidal, Alejandro Rodríguez-González
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE15 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11683279

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