{"title":"A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient.","authors":"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","doi":"10.1016/j.dib.2024.111167","DOIUrl":null,"url":null,"abstract":"<p><p>This dataset comprises information about 1242 lung cancer patients collected by the Medical Oncology Department of the Puerta de Hierro University Hospital of Majadahonda in Madrid, Spain. It includes information about cancer diagnosis and treatment, as well as personal and medical data recorded during anamneses. The dataset could assist in data analysis with the aim of discovering relationships between the applied treatment(s), the evolution of the disease and the associated adverse effects. A greater understanding of treatment effects based on the particular conditions of the patient and the diagnosis could directly impact the healthcare system, helping to improve expectations about lung cancer as well as reducing treatment toxicities and adverse effects.</p>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"111167"},"PeriodicalIF":1.0000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11683279/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.dib.2024.111167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This dataset comprises information about 1242 lung cancer patients collected by the Medical Oncology Department of the Puerta de Hierro University Hospital of Majadahonda in Madrid, Spain. It includes information about cancer diagnosis and treatment, as well as personal and medical data recorded during anamneses. The dataset could assist in data analysis with the aim of discovering relationships between the applied treatment(s), the evolution of the disease and the associated adverse effects. A greater understanding of treatment effects based on the particular conditions of the patient and the diagnosis could directly impact the healthcare system, helping to improve expectations about lung cancer as well as reducing treatment toxicities and adverse effects.
该数据集包括西班牙马德里Majadahonda的Puerta de Hierro大学医院肿瘤内科收集的1242名肺癌患者的信息。它包括有关癌症诊断和治疗的信息,以及在记忆期间记录的个人和医疗数据。该数据集可协助进行数据分析,目的是发现所应用的治疗、疾病演变和相关不良反应之间的关系。根据患者的特殊情况和诊断,更好地了解治疗效果可以直接影响医疗保健系统,有助于提高对肺癌的期望,并减少治疗的毒性和不良反应。
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.