<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Xuzhang W</submitter><funding>Shanghai Municipal Health Commission</funding><funding>collaborative innovation center for cardiovascular disease translational medicine</funding><funding>science and technology commission of shanghai municipality</funding><funding>shanghai chest hospital</funding><funding>National Natural Science Foundation of China</funding><funding>natural science foundation of shanghai</funding><funding>program of shanghai academic research leader</funding><funding>Clinical Research Plan of SHDC</funding><funding>national key research and development program of china</funding><pagination>17588359231156387</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9989452</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Oligoprogressive disease is recognized as the overall umbrella term; however, a small number of progressions on imaging can represent different clinical scenarios. This study aims to explore the optimal treatment strategy after immunotherapy (IO) resistance in advanced non-small-cell lung cancer (NSCLC), especially in personalized therapies for patients with different oligoprogressive patterns.&lt;h4>Methods&lt;/h4>Based on European Society for Radiotherapy and Oncology/European Organization for Research and Treatment of Cancer consensus, metastatic NSCLC patients with cancer progression after IO resistance were divided into four patterns, repeat oligoprogression (REO, oligoprogression with a history of oligometastatic disease), induced oligoprogression (INO, oligoprogression </pubmed_abstract><journal>Therapeutic advances in medical oncology</journal><pubmed_title>Treatment strategies based on different oligoprogressive patterns after immunotherapy failure in metastatic NSCLC.</pubmed_title><pmcid>PMC9989452</pmcid><funding_grant_id>17431906103</funding_grant_id><funding_grant_id>82072564</funding_grant_id><funding_grant_id>16CR3005A</funding_grant_id><funding_grant_id>TM202112</funding_grant_id><funding_grant_id>SHDC2020CR5001</funding_grant_id><funding_grant_id>YJXT20190209</funding_grant_id><funding_grant_id>22XD142280</funding_grant_id><funding_grant_id>20ZR1452000</funding_grant_id><funding_grant_id>CCTS202204</funding_grant_id><funding_grant_id>YJXT20190105</funding_grant_id><funding_grant_id>2016YFC1303300</funding_grant_id><funding_grant_id>82030045</funding_grant_id><funding_grant_id>2022XD029</funding_grant_id><funding_grant_id>19411950500</funding_grant_id><funding_grant_id>82241227</funding_grant_id><pubmed_authors>Shen L</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Huang H</pubmed_authors><pubmed_authors>Lu S</pubmed_authors><pubmed_authors>Xuzhang W</pubmed_authors><pubmed_authors>Yu Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Treatment strategies based on different oligoprogressive patterns after immunotherapy failure in metastatic NSCLC.</name><description>&lt;h4>Background&lt;/h4>Oligoprogressive disease is recognized as the overall umbrella term; however, a small number of progressions on imaging can represent different clinical scenarios. This study aims to explore the optimal treatment strategy after immunotherapy (IO) resistance in advanced non-small-cell lung cancer (NSCLC), especially in personalized therapies for patients with different oligoprogressive patterns.&lt;h4>Methods&lt;/h4>Based on European Society for Radiotherapy and Oncology/European Organization for Research and Treatment of Cancer consensus, metastatic NSCLC patients with cancer progression after IO resistance were divided into four patterns, repeat oligoprogression (REO, oligoprogression with a history of oligometastatic disease), induced oligoprogression (INO, oligoprogression </description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2026-05-13T14:27:25.759Z</modification><creation>2025-02-19T03:26:20.967Z</creation></dates><accession>S-EPMC9989452</accession><cross_references><pubmed>36895853</pubmed><doi>10.1177/17588359231156387</doi></cross_references></HashMap>