<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yin Y</submitter><funding>Shaanxi Provincial Science and Technology Department</funding><funding>Xinjiang Guan Run Logistics Co., Ltd</funding><funding>Ruilan Jiang</funding><funding>National Natural Science Foundation of China</funding><pagination>71</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8817485</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cancer screening provides the opportunity to detect cancer early, ideally before symptom onset and metastasis, and offers an increased opportunity for a better prognosis. The ideal biomarkers for cancer screening should discriminate individuals who have not developed invasive cancer yet but are destined to do so from healthy subjects. However, most cancers lack effective screening recommendations. Therefore, further studies on novel screening strategies are urgently required.&lt;h4>Methods&lt;/h4>We used a simple suboptimal inoculation melanoma mouse model to obtain 'pre-diagnostic samples' of mice with macroscopic melanomas. High-throughput sequencing and bioinformatic analysis were employed to identify differentially expressed RNAs in platelet signatures of mice injected wit</pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>Prediction of occult tumor progression via platelet RNAs in a mouse melanoma model: a potential new platform for early detection of cancer.</pubmed_title><pmcid>PMC8817485</pmcid><funding_grant_id>81602698</funding_grant_id><funding_grant_id>2019JQ-591</funding_grant_id><funding_grant_id>20181224</funding_grant_id><pubmed_authors>Yin Y</pubmed_authors><pubmed_authors>Shen M</pubmed_authors><pubmed_authors>Shi L</pubmed_authors><pubmed_authors>Zhang K</pubmed_authors><pubmed_authors>Yan N</pubmed_authors><pubmed_authors>Jiang H</pubmed_authors><pubmed_authors>Jiang R</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Chen D</pubmed_authors><pubmed_authors>Lv J</pubmed_authors><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Li Z</pubmed_authors><pubmed_authors>Feng J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prediction of occult tumor progression via platelet RNAs in a mouse melanoma model: a potential new platform for early detection of cancer.</name><description>&lt;h4>Background&lt;/h4>Cancer screening provides the opportunity to detect cancer early, ideally before symptom onset and metastasis, and offers an increased opportunity for a better prognosis. The ideal biomarkers for cancer screening should discriminate individuals who have not developed invasive cancer yet but are destined to do so from healthy subjects. However, most cancers lack effective screening recommendations. Therefore, further studies on novel screening strategies are urgently required.&lt;h4>Methods&lt;/h4>We used a simple suboptimal inoculation melanoma mouse model to obtain 'pre-diagnostic samples' of mice with macroscopic melanomas. High-throughput sequencing and bioinformatic analysis were employed to identify differentially expressed RNAs in platelet signatures of mice injected wit</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Feb</publication><modification>2025-04-05T22:58:33.288Z</modification><creation>2025-02-19T03:47:07.184Z</creation></dates><accession>S-EPMC8817485</accession><cross_references><pubmed>35123499</pubmed><doi>10.1186/s12967-022-03268-z</doi></cross_references></HashMap>