Abstract A pharmacogenomic platform using patient-derived cells (PDCs) was established to identify the underlying resistance mechanisms and tailored treatment for advanced or refractory lung cancer patients. Drug sensitivity screening was acquired from short-term PDC culture and multi-omics datasets were acquired from lung cancer PDCs (n = 199). Integrative analysis was performed to explore susceptible drug candidates from genetic variants, gene expression, and clinical profiles. To demonstrate PDC heterogeneity and its therapeutic response, cellular subpopulation was identified from single cell transcriptome from the patients (n = 8) harboring EGFR mutations with poor response to EGFR-TKIs. Mutation and gene expression profile of our PDC samples conserved with lung cancer tissue. Poor survival mutations were observed in KRAS, PDGFA, KEAP1, and MET. EGFR rare variants facilitated fast progression as well as poor susceptibility in EGFR-TKIs. PDC therapeutic subtypes classified patients into five groups: (1) epithelial-to-mesenchymal transition (EMT)-like (30.6 %), (2) EGFR-dominant (21.4 %), (3) stemness (19.4 %), (4) angiogenesis (17.3 %), and (5) inflammatory (11.2 %). The subtypes implicated in distinct pathway regulation activation, variant enrichment, pathologic type, and survival as well as therapeutic candidates. Meanwhile, single cell transcriptome uncovered IDO1 and MET activation of EGFR-TKI resistance cancer cells. Stromal cell clusters exhibited the variety according to combinatorial immunotherapy response. While VEGFA+, and TOP2A+ clusters exhibited well response to angiogenesis and DNA damage target drug combinations of patients, CALB2+ cluster was clearly abundant to non-responder patients. We could detect angiogenesis (dasatinib) and DNA damage (irinotecan) drug candidates according to stromal clusters’ scoring from bulk PDC samples. Our PDC platform recapitulated the molecular characteristics of solid lung tumor tissues including tumor microenvironment. Uncovered molecular mechanism implied drug candidates. Citation Format: Charny Park, Sehwa Hong, Mihwa Hwang, Youngjoo Lee, Bo Ram Song, Eun Hye Kang, Hanna Sim, Beung-Chul Ahn, Kum Hui Hwang, Namhee Yu, Sunshin Kim, Ji-Youn Han. Pharmacogenomic platform using patient-derived cells to delineate tumor heterogeneity and therapeutic response of refractory lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2805.