INSPIRE - Investigator-initiated Phase 2 Study of Pembrolizumab Immunological Response in Metastatic Solid Tumors

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001004873	Whole exome sequencing BAM files of 50 metastatic solid tumour and matched blood germline DNA prior to pembrolizumab treatment.	Illumina HiSeq 2500	100
EGAD00001006562	Updated INSPIRE whole exome sequencing data: PBMC controls	Illumina HiSeq 2500	45
EGAD00001006563	INSPIRE whole exome sequencing of tumors updated	Illumina HiSeq 2500	46
EGAD00001006564	INSPIRE whole transcriptome sequencing of tumors	Illumina HiSeq 2500	65
EGAD00001006569	Somatic SNVs and Indels for INSPIRE Tumor WES called using Mutect, Mutect2, Varscan2, Vardict, and Strelka2		-
EGAD00001011312	This dataset contains raw sequencing data from multi-timepoint cell-free methylated DNA immunoprecipitation and sequencing (cfMeDIP-seq) of plasma samples from the INSPIRE study (NCT02644369). Details about the study, including inclusion/exclusion criteria and interventions are available at https://clinicaltrials.gov/study/NCT02644369. Briefly, five cohorts were included, INS-A (head & neck squamous cell carcinoma), INS-B (triple-negative breast cancer), INS-C (high-grade serous ovarian cancer), INS-D (melanoma), and INS-E (mixed solid tumors). All patients in the study were diagnosed with advanced cancer and received treatment with pembrolizumab. Plasma samples were collected at baseline and every 3 cycles until disease progression, death, loss of follow-up, or completion of the study. Plasma samples were first processed for cell-free DNA mutations and remaining samples were then processed by cfMeDIP-seq, prioritizing baseline and post-cycle 3 samples. In total, data from 204 timepoints from 87 distinct patients are deposited.	Illumina NovaSeq 6000	204

Publications	Citations
An interim report on the investigator-initiated phase 2 study of pembrolizumab immunological response evaluation (INSPIRE). Clouthier DL, Lien SC, Yang SYC, Nguyen LT, Manem VSK, Gray D, Ryczko M, Razak ARA, Lewin J, Lheureux S, Colombo I, Bedard PL, Cescon D, Spreafico A, Butler MO, Hansen AR, Jang RW, Ghai S, Weinreb I, Sotov V, Gadalla R, Noamani B, Guo M, Elston S, Giesler A, Hakgor S, Jiang H, McGaha T, Brooks DG, Haibe-Kains B, Pugh TJ, Ohashi PS, Siu LL. J Immunother Cancer 7: 2019 72	36
Predicting Toxicity and Response to Pembrolizumab Through Germline Genomic HLA Class 1 Analysis. Iafolla MAJ, Yang C, Chandran V, Pintilie M, Li Q, Bedard PL, Hansen A, Lheureux S, Spreafico A, Razak AA, Hakgor S, Giesler A, Pugh TJ, Siu LL. JNCI Cancer Spectr 5: 2021 None	18
Pan-cancer analysis of longitudinal metastatic tumors reveals genomic alterations and immune landscape dynamics associated with pembrolizumab sensitivity. Cindy Yang SY, Lien SC, Wang BX, Clouthier DL, Hanna Y, Cirlan I, Zhu K, Bruce JP, El Ghamrasni S, Iafolla MAJ, Oliva M, Hansen AR, Spreafico A, Bedard PL, Lheureux S, Razak A, Speers V, Berman HK, Aleshin A, Haibe-Kains B, Brooks DG, McGaha TL, Butler MO, Bratman SV, Ohashi PS, Siu LL, Pugh TJ. Nat Commun 12: 2021 5137	83
Early Changes in Tumor-Naive Cell-Free Methylomes and Fragmentomes Predict Outcomes in Pembrolizumab-Treated Solid Tumors. Stutheit-Zhao EY, Sanz-Garcia E, Liu ZA, Wong D, Marsh K, Abdul Razak AR, Spreafico A, Bedard PL, Hansen AR, Lheureux S, Torti D, Lam B, Yang SYC, Burgener J, Luo P, Zeng Y, Cheng N, Awadalla P, Bratman SV, Ohashi PS, Pugh TJ, Siu LL. Cancer Discov 14: 2024 1048-1063	14
Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab. Hernando-Calvo A, Yang SYC, Vila-Casadesús M, Han M, Liu ZA, Berman AHK, Spreafico A, Razak AA, Lheureux S, Hansen AR, Lo Giacco D, Abbas-Aghababazadeh F, Matito J, Haibe-Kains B, Pugh TJ, Bratman SV, Aleshin A, Berche R, Saavedra O, Garralda E, Elston S, Siu LL, Ohashi PS, Vivancos A, Bedard PL. JCO Precis Oncol 8: 2024 e2400100	6
IC2Bert: masked gene expression pretraining and supervised fine tuning for robust immune checkpoint blockade (ICB) response prediction. Park S, Kim S, Jiang P. Sci Rep 15: 2025 28044	0