{"id":"https://openalex.org/W7167472020","doi":"https://doi.org/10.6084/m9.figshare.32328696","title":"Leveraging Machine Learning to Map Neoantigen Hotspots and Guide Immunotherapy Across Cancers","display_name":"Leveraging Machine Learning to Map Neoantigen Hotspots and Guide Immunotherapy Across Cancers","publication_year":2026,"publication_date":"2026-07-06","ids":{"openalex":"https://openalex.org/W7167472020","doi":"https://doi.org/10.6084/m9.figshare.32328696"},"language":"en","primary_location":{"id":"pmh:oai:figshare.com:article/32328696","doi":null,"is_oa":true,"landing_page_url":"https://figshare.com/articles/poster/Leveraging_Machine_Learning_to_Map_Neoantigen_Hotspots_and_Guide_Immunotherapy_Across_Cancers/32328696","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Poster"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/poster/Leveraging_Machine_Learning_to_Map_Neoantigen_Hotspots_and_Guide_Immunotherapy_Across_Cancers/32328696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045313202","display_name":"Richard A Sch\u00e4fer","orcid":"https://orcid.org/0000-0001-9938-1920","observed_orcids":["https://orcid.org/0000-0001-9938-1920"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard A. Sch\u00e4fer","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9938-1920","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140150160","display_name":"Milos Aleksic","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Milos Aleksic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072455578","display_name":"Abhirami Ramakrishnan","orcid":"https://orcid.org/0000-0001-8116-3685","observed_orcids":["https://orcid.org/0000-0001-8116-3685"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abhirami Ramakrishnan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074555821","display_name":"Rendong Yang","orcid":"https://orcid.org/0000-0002-9512-2240","observed_orcids":["https://orcid.org/0000-0002-9512-2240"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rendong Yang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9512-2240","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45341206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10158","display_name":"Cancer Immunotherapy and Biomarkers","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10158","display_name":"Cancer Immunotherapy and Biomarkers","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10580","display_name":"Immunotherapy and Immune Responses","score":0.0031999999191612005,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neoantigens","display_name":"neoantigens","score":0.9079999923706055},{"id":"https://openalex.org/keywords/cancer-immunotherapy","display_name":"cancer immunotherapy","score":0.9490000009536743},{"id":"https://openalex.org/keywords/immunogenicity-prediction","display_name":"immunogenicity prediction","score":0.7319999933242798},{"id":"https://openalex.org/keywords/pan-cancer-analysis","display_name":"pan-cancer analysis","score":0.8500000238418579},{"id":"https://openalex.org/keywords/immune-checkpoint-blockade-response","display_name":"immune checkpoint blockade response","score":0.8859999775886536},{"id":"https://openalex.org/keywords/patient-stratification","display_name":"patient stratification","score":0.7919999957084656},{"id":"https://openalex.org/keywords/t-cell-response","display_name":"T cell response","score":0.6060000061988831},{"id":"https://openalex.org/keywords/tumor-microenvironment","display_name":"tumor microenvironment","score":0.609000027179718},{"id":"https://openalex.org/keywords/false-positive-reduction","display_name":"false positive reduction","score":0.4650000035762787}],"concepts":[{"id":"https://openalex.org/C2777701055","wikidata":"https://www.wikidata.org/wiki/Q1427096","display_name":"Immunotherapy","level":3,"score":0.8305000066757202},{"id":"https://openalex.org/C2780674031","wikidata":"https://www.wikidata.org/wiki/Q2012719","display_name":"Cancer immunotherapy","level":4,"score":0.6180999875068665},{"id":"https://openalex.org/C2780851360","wikidata":"https://www.wikidata.org/wiki/Q21686041","display_name":"Immune checkpoint","level":4,"score":0.5687000155448914},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5648000240325928},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5181000232696533},{"id":"https://openalex.org/C2776107976","wikidata":"https://www.wikidata.org/wiki/Q1786433","display_name":"Tumor microenvironment","level":3,"score":0.48249998688697815},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.46470001339912415},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C162317418","wikidata":"https://www.wikidata.org/wiki/Q252857","display_name":"Transcriptome","level":4,"score":0.41440001130104065},{"id":"https://openalex.org/C2778468042","wikidata":"https://www.wikidata.org/wiki/Q273976","display_name":"Blockade","level":3,"score":0.3634999990463257},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3395000100135803},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.3353999853134155},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3215000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C3019816032","wikidata":"https://www.wikidata.org/wiki/Q2575340","display_name":"Cancer treatment","level":3,"score":0.2955000102519989},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.2953000068664551},{"id":"https://openalex.org/C3018558359","wikidata":"https://www.wikidata.org/wiki/Q1660157","display_name":"Immune escape","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C542903549","wikidata":"https://www.wikidata.org/wiki/Q422248","display_name":"Monoclonal antibody","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C2780057760","wikidata":"https://www.wikidata.org/wiki/Q13896859","display_name":"Pembrolizumab","level":4,"score":0.2547999918460846}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:figshare.com:article/32328696","doi":null,"is_oa":true,"landing_page_url":"https://figshare.com/articles/poster/Leveraging_Machine_Learning_to_Map_Neoantigen_Hotspots_and_Guide_Immunotherapy_Across_Cancers/32328696","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Poster"},{"id":"doi:10.6084/m9.figshare.32328696","doi":"https://doi.org/10.6084/m9.figshare.32328696","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32328696","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Poster"},{"id":"doi:10.6084/m9.figshare.32328696.v1","doi":"https://doi.org/10.6084/m9.figshare.32328696.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32328696.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Poster"},{"id":"doi:10.6084/m9.figshare.32328696.v2","doi":"https://doi.org/10.6084/m9.figshare.32328696.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.32328696.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Poster"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/32328696","doi":null,"is_oa":true,"landing_page_url":"https://figshare.com/articles/poster/Leveraging_Machine_Learning_to_Map_Neoantigen_Hotspots_and_Guide_Immunotherapy_Across_Cancers/32328696","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Poster"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9907000064849854}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4387948377","https://openalex.org/W4410177781","https://openalex.org/W4400402545","https://openalex.org/W4411253296","https://openalex.org/W3007720265","https://openalex.org/W3024694035","https://openalex.org/W2793542493","https://openalex.org/W7011556354","https://openalex.org/W4387452812","https://openalex.org/W2939378750"],"abstract_inverted_index":{"Neoantigens,":[0],"arising":[1],"from":[2],"tumor-specific":[3],"mutations,":[4],"represent":[5],"a":[6,46,55,69],"promising":[7],"aventue":[8],"for":[9,116],"precision":[10],"immunotherapy":[11,81,111,133],"by":[12],"driving":[13],"T-cell-mediated":[14],"anti-tumor":[15],"responses.":[16],"Despite":[17],"their":[18],"potential,":[19],"accurate":[20],"identification":[21],"of":[22,110,127],"immunogenic":[23],"neoantigens":[24],"remains":[25],"challenging":[26],"due":[27],"to":[28,130],"high":[29],"false-positive":[30],"rates,":[31],"tumor":[32,91],"microenvironment":[33],"complexity,":[34],"and":[35,51,64,80,113],"individual":[36],"immune":[37],"variability.":[38],"To":[39],"address":[40],"these":[41],"barriers,":[42],"we":[43],"enhanced":[44],"ScanNeo2,":[45],"comprehensive":[47],"workflow":[48],"integrating":[49],"genomic":[50],"transcriptomic":[52],"data,":[53],"with":[54],"machine":[56],"learning\u2013based":[57],"predictor":[58],"that":[59,99],"improves":[60],"neoantigen":[61,88],"detection":[62],"reliability":[63],"reduces":[65],"false":[66],"positives.We":[67],"performed":[68],"large-scale,":[70],"pan-cancer":[71,105],"analysis":[72],"across":[73,90],"multiple":[74],"cohorts":[75],"spanning":[76],"diverse":[77,120],"cancer":[78,132],"types":[79],"response":[82,112],"profiles.":[83],"Our":[84],"study":[85],"revealed":[86],"shared":[87],"hotspots":[89],"types,":[92],"as":[93,95],"well":[94],"population-specific":[96],"mutation":[97],"signatures":[98],"influence":[100],"checkpoint":[101],"blockade":[102],"outcomes.":[103],"This":[104],"atlas":[106],"reveals":[107],"key":[108],"determinants":[109],"supports":[114],"strategies":[115],"patient":[117],"stratification":[118],"in":[119],"populations.Our":[121],"findings":[122],"underscore":[123],"the":[124],"global":[125],"relevance":[126],"neoantigen-focused":[128],"approaches":[129],"improving":[131],"outcomes.Presented":[134],"at":[135],"Global":[136],"Health":[137],"Day":[138],"2025":[139],"on":[140],"2025-11-19":[141],"(https://www.globalhealth.northwestern.edu/events/global-health-day/index.html)":[142]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-07T00:00:00"}