Whole Tumor spatial heterogeneity in metastatic melanoma

Heterogeneous inter-tumoral responses, sustained periods of apparent clinical benefit despite lack of objective response to various therapies, and even spontaneous remission are well known within a subpopulation of advanced melanoma patients. The molecular and cellular dynamics facilitating long-term survival remain poorly defined, particularly in the current era ofexposure to multiple potentially active therapies. We studied an exceptional case of long-term survival in a patient with non-responding metastatic melanoma in order to characterize the clonal and microenvironmental factors.We performed immunogenomic analysis of 3 metachronous tumors, and of 67 intratumor sub-regions of one metastatic lesion, usingwhole exome sequencing, RNA-sequencing, immunohistochemistry, and T cell receptor sequencing. Longitudinal analysesidentified mutations in severalknownresistance genes affecting distinctmetastases. Intra-tumoral immune signatures revealed spatially-distinct pockets of immune activation and suppression throughout the metastasis. A specific T cell VBeta CDR3 rearrangement was identified as both dominant and recurrent not only across multiple spatial points within a single tumor mass, but also across metachronous tumors spanning the patient’s disease course. Immunophenotyping of this T cell population with single-cell sequencingsuggestedrepeatedT-cell priming events leading to the persistence of both activated and exhausted T cells bearing this same TCR-Beta at any given time.Our findings highlight genomic and immune heterogeneityin metastatic disease, extending to the intra-tumoral leveland provide a rationale for integrative spatiotemporal analysis of metastatic lesions in the context of immune checkpoint blockade.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

4 Datasets 1 Publication

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
EGAD00001005819	We performed whole exome sequencing of 8 samples derived from a patient with metastatic melanoma. These represent six different regions of a metastatic melanoma biopsy that was treated with anti-PD-1 inhibitor, one pre-treatment biopsy that was treatment naive and one post-PD-1 inhibitor treated lesion. Exome sequencing data was generated using methods as previously described, including library preparation using the Agilent SureSelect XT Target Enrichment protocol (#5190-8646) prior to sequencing on an Illumina HiSeq 2000/2500 v3 system using 76bp paired-end reads. Raw sequencing data was then processed using Saturn V, the next generation sequencing data processing and analysis pipeline developed by the Department of Genomic Medicine at the UT MD Anderson Cancer Center.	Illumina HiSeq 2500	8
EGAD00001005820	We performed RNA sequencing of 48 different regions sub-sampled from a metastatic melanoma biopsy that was treated with anti-PD-1 inhibitor. RNAseq was performed on samples with a minimum RNA integrity number (RIN) of 5.5 except for two cases (6A10 and 8A3) with RINs greater than 3. A minimum of 700ng of RNA were required for all samples undergoing RNAseq. Paired-end transcriptome reads were aligned using TopHat2, to the UCSC hg19 reference genome.	Illumina HiSeq 2500	48
EGAD00001005821	We performed deep targeted DNA sequencing for a panel of 265 cancer-related genes. This included subsampling 35 different regions of a metastatic melanoma biopsy that was treated with anti-PD-1 inhibitor. Samples with cancer cell purity greater than 80% based on pathologic assessment were used for cancer gene panel DNA sequencing. Mean sequencing coverage was 861x and paired-end reads in FASTQ format were generated by the Illumina pipeline and aligned to the reference human genome hg19 build using the Burrows-Wheeler Alignment Tool (BWA, v0.7.5) with default settings. Aligned reads were further processed using GATK with best practices for removing duplicates, indel removal and recalibration.	Illumina HiSeq 2500	35
EGAD00001006013	Three technical replicates of FACS-sorted T cells (CD45+CD3+) and one replicate of FACS-sorted tumor cells (MCSP+) were loaded to a targeted 10,000 cells per lane on the 10X Genomics Chromium Controler with the single cell 5’ Immune Repertoire and Gene Expression profiling kit. In total, we loaded ~30,000 individual tumor infiltrating lymphocytes (TILs) and ~10,000 melanoma cells on the 10X platform (10X Genomics, CA, USA). Reverse transcription, TCR enrichment, and library preparations were performed according to the 10X Genomics 5’ V(D)J protocol revision C. Transcriptome libraries were pooled and sequenced on the Illumina NovaSeq 6000 S2 flow cell with 26 R1, 8 i7, and 91 R2 cycles respectively. The TCR libraries were pooled and sequenced on the Illumina MiSeq V2 150 cycles paired-end. Single cell transcriptomic and TCR data was processed with the 10X Genomics Cell Ranger Pipeline version 2.2.0 with the software-provided GRCh38 reference transcriptomes. After quality control, there was RNAseq profile data available from 6267 immune and 4303 melanoma cells. Downstream processing and visualization was encompassed through Seurat and tSNE plots.	Illumina MiSeq Illumina NovaSeq 6000	5

Publications	Citations
Spatially resolved analyses link genomic and immune diversity and reveal unfavorable neutrophil activation in melanoma. Mitra A, Andrews MC, Roh W, De Macedo MP, Hudgens CW, Carapeto F, Singh S, Reuben A, Wang F, Mao X, Song X, Wani K, Tippen S, Ng KS, Schalck A, Sakellariou-Thompson DA, Chen E, Reddy SM, Spencer CN, Wiesnoski D, Little LD, Gumbs C, Cooper ZA, Burton EM, Hwu P, Davies MA, Zhang J, Bernatchez C, Navin N, Sharma P, Allison JP, Wargo JA, Yee C, Tetzlaff MT, Hwu WJ, Lazar AJ, Futreal PA. Nat Commun 11: 2020 1839	10

Publications

Citations

Spatially resolved analyses link genomic and immune diversity and reveal unfavorable neutrophil activation in melanoma.
Mitra A, Andrews MC, Roh W, De Macedo MP, Hudgens CW, Carapeto F, Singh S, Reuben A, Wang F, Mao X, Song X, Wani K, Tippen S, Ng KS, Schalck A, Sakellariou-Thompson DA, Chen E, Reddy SM, Spencer CN, Wiesnoski D, Little LD, Gumbs C, Cooper ZA, Burton EM, Hwu P, Davies MA, Zhang J, Bernatchez C, Navin N, Sharma P, Allison JP, Wargo JA, Yee C, Tetzlaff MT, Hwu WJ, Lazar AJ, Futreal PA. Nat Commun 11: 2020 1839