<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>17(1)</volume><submitter>Blessing A</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Several studies have explored whether tobacco consumption is associated with the histologic growth patterns of pulmonary adenocarcinomas, and whether these patterns influence prognosis. However, findings have remained ambiguous. This study aimed at further exploring these associations in a larger cohort, enhancing precision compared to previous studies by assessing growth patterns on digitalized slides.&lt;h4>Methods&lt;/h4>Resection specimens from 196 patients with pulmonary adenocarcinoma were retrospectively assessed and categorized. Where available, up to three tumour bearing H&amp;E stained slides were digitized. Growth patterns were quantitatively assessed and categorized based on these digital images. Clinical and demographic data, including smoking history, were obtained f</pubmed_abstract><journal>Discover oncology</journal><pagination>92</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12804571</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Tobacco smoking is associated with solid growth pattern in primary lung adenocarcinoma.</pubmed_title><pmcid>PMC12804571</pmcid><pubmed_authors>Blessing A</pubmed_authors><pubmed_authors>Kayser C</pubmed_authors><pubmed_authors>Oberndorfer F</pubmed_authors><pubmed_authors>Kayser G</pubmed_authors><pubmed_authors>Csanadi A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Tobacco smoking is associated with solid growth pattern in primary lung adenocarcinoma.</name><description>&lt;h4>Background&lt;/h4>Several studies have explored whether tobacco consumption is associated with the histologic growth patterns of pulmonary adenocarcinomas, and whether these patterns influence prognosis. However, findings have remained ambiguous. This study aimed at further exploring these associations in a larger cohort, enhancing precision compared to previous studies by assessing growth patterns on digitalized slides.&lt;h4>Methods&lt;/h4>Resection specimens from 196 patients with pulmonary adenocarcinoma were retrospectively assessed and categorized. Where available, up to three tumour bearing H&amp;E stained slides were digitized. Growth patterns were quantitatively assessed and categorized based on these digital images. Clinical and demographic data, including smoking history, were obtained f</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T15:06:38.436Z</modification><creation>2026-06-01T03:10:55.581Z</creation></dates><accession>S-EPMC12804571</accession><cross_references><pubmed>41369828</pubmed><doi>10.1007/s12672-025-04187-3</doi></cross_references></HashMap>