Nature Immunology: doi: /ni Supplementary Figure 1. RNA-Seq analysis of CD8 + TILs and N-TILs.

Similar documents
Tissue-resident memory features are linked to the magnitude of cytotoxic T cell responses in human lung cancer

Tissue-resident memory features are linked to the magnitude of cytotoxic T cell

Supplementary Table 1 Clinicopathological characteristics of 35 patients with CRCs

Supplementary Figure 1

Supplemental Information. Checkpoint Blockade Immunotherapy. Induces Dynamic Changes. in PD-1 CD8 + Tumor-Infiltrating T Cells

Nature Genetics: doi: /ng Supplementary Figure 1. SEER data for male and female cancer incidence from

Supplementary Figure 1. Example of gating strategy

HD1 (FLU) HD2 (EBV) HD2 (FLU)

SUPPLEMENTARY APPENDIX

Expanded View Figures

Nature Immunology: doi: /ni Supplementary Figure 1. Transcriptional program of the TE and MP CD8 + T cell subsets.

Supplementary Fig. 1: Ex vivo tetramer enrichment with anti-c-myc beads

SSM signature genes are highly expressed in residual scar tissues after preoperative radiotherapy of rectal cancer.

AbSeq on the BD Rhapsody system: Exploration of single-cell gene regulation by simultaneous digital mrna and protein quantification

ILC1 and ILC3 isolation and culture Following cell sorting, we confirmed that the recovered cells belonged to the ILC1, ILC2 and

Supplementary Figure 1. Metabolic landscape of cancer discovery pipeline. RNAseq raw counts data of cancer and healthy tissue samples were downloaded

Nature Immunology: doi: /ni Supplementary Figure 1. Id2 and Id3 define polyclonal T H 1 and T FH cell subsets.

Supplemental Figure 1

CPM (x 10-3 ) Tregs +Teffs. Tregs alone ICOS CLTA-4

Supplementary Figure 1. Efficiency of Mll4 deletion and its effect on T cell populations in the periphery. Nature Immunology: doi: /ni.

Supplementary Figure 1. mrna expression of chitinase and chitinase-like protein in splenic immune cells. Each splenic immune cell population was

B220 CD4 CD8. Figure 1. Confocal Image of Sensitized HLN. Representative image of a sensitized HLN

Supplementary Figures

Nature Immunology: doi: /ni Supplementary Figure 1. Characteristics of SEs in T reg and T conv cells.

Categorical analysis of human T cell heterogeneity with One-SENSE

Bezzi et al., Supplementary Figure 1 *** Nature Medicine: doi: /nm Pten pc-/- ;Zbtb7a pc-/- Pten pc-/- ;Pml pc-/- Pten pc-/- ;Trp53 pc-/-

fl/+ KRas;Atg5 fl/+ KRas;Atg5 fl/fl KRas;Atg5 fl/fl KRas;Atg5 Supplementary Figure 1. Gene set enrichment analyses. (a) (b)

Supplementary Figure 1. BMS enhances human T cell activation in vitro in a

Supplementary Figure 1. Nature Neuroscience: doi: /nn.4547

Supplementary Figures

Patient characteristics of training and validation set. Patient selection and inclusion overview can be found in Supp Data 9. Training set (103)

Supplementary Information

Nature Neuroscience: doi: /nn Supplementary Figure 1

Supplementary Figure 1. Characterization of basophils after reconstitution of SCID mice

(a) Significant biological processes (upper panel) and disease biomarkers (lower panel)

Supplementary Figure S1. Gene expression analysis of epidermal marker genes and TP63.

Therapeutic PD L1 and LAG 3 blockade rapidly clears established blood stage Plasmodium infection

SUPPLEMENTAL INFORMATIONS

Supplemental Information. Aryl Hydrocarbon Receptor Controls. Monocyte Differentiation. into Dendritic Cells versus Macrophages

Supplemental Materials for. Effects of sphingosine-1-phosphate receptor 1 phosphorylation in response to. FTY720 during neuroinflammation

- 1 - Reviewers' comments: Reviewer #1 (Remarks to the Author):

PBZ FT01_PBZ FT01_TZ FT01_NZ. interface zone (I) tumor zone (TZ) necrotic zone (NZ)

EPIGENETIC RE-EXPRESSION OF HIF-2α SUPPRESSES SOFT TISSUE SARCOMA GROWTH

Supplemental Table 1. Primer sequences for transcript analysis

Supplementary Figure 1. Using DNA barcode-labeled MHC multimers to generate TCR fingerprints

TEB. Id4 p63 DAPI Merge. Id4 CK8 DAPI Merge

Expanded View Figures

x Lymphocyte count /µl CD8+ count/µl 800 Calculated

Supplementary Figures

Nature Medicine doi: /nm.3957

Supplementary Materials for

Digitizing the Proteomes From Big Tissue Biobanks

Supplementary Figure 1. Double-staining immunofluorescence analysis of invasive colon and breast cancers. Specimens from invasive ductal breast

Nature Neuroscience: doi: /nn Supplementary Figure 1. Behavioral training.

IgG3 regulates tissue-like memory B cells in HIV-infected individuals

Dual Targeting Nanoparticle Stimulates the Immune

Nature Methods: doi: /nmeth.3115

Nature Biotechnology: doi: /nbt Supplementary Figure 1. Binding capacity of DNA-barcoded MHC multimers and recovery of antigen specificity

SUPPLEMENTARY INFORMATION

Figure S2. Distribution of acgh probes on all ten chromosomes of the RIL M0022

Transcriptional Profiles from Paired Normal Samples Offer Complementary Information on Cancer Patient Survival -- Evidence from TCGA Pan-Cancer Data

Nature Immunology: doi: /ni Supplementary Figure 1

Supplementary Figure 1 Cytokine receptors on developing thymocytes that can potentially signal Runx3d expression.

Supplementary Figures

OncoPPi Portal A Cancer Protein Interaction Network to Inform Therapeutic Strategies

Supplementary Figure 1. IDH1 and IDH2 mutation site sequences on WHO grade III

Incomplete immune response to Coxsackie B viruses. associates with early autoimmunity against insulin

Supplementary Figure S1. PTPN2 levels are not altered in proliferating CD8+ T cells. Lymph node (LN) CD8+ T cells from C57BL/6 mice were stained with

Blocking antibodies and peptides. Rat anti-mouse PD-1 (29F.1A12, rat IgG2a, k), PD-

7SK ChIRP-seq is specifically RNA dependent and conserved between mice and humans.

Conserved properties of dentate gyrus neurogenesis across postnatal development revealed by single-cell RNA sequencing

Sbarrato_Supplementary_Fig1

<10. IL-1β IL-6 TNF + _ TGF-β + IL-23

Supplementary Figure 1: Features of IGLL5 Mutations in CLL: a) Representative IGV screenshot of first

A fresh approach to Immuno-oncology: Ex vivo analysis of drug efficacy in fresh patient tumortissue

Supplemental materials

Supplementary figure 1

Synergy of radiotherapy and PD-1 blockade in Kras-mutant lung cancer

Welcome. Nanostring Immuno-Oncology Summit. September 21st, FOR RESEARCH USE ONLY. Not for use in diagnostic procedures.

Supplementary appendix

File name: Supplementary Information Description: Supplementary Figures, Supplementary Table and Supplementary References

Supporting Information

As outlined under External contributions (see appendix 7.1), the group of Prof. Gröne at the

Nature Immunology: doi: /ni Supplementary Figure 1

Regulatory T Cells Exhibit Distinct Features in Human Breast Cancer

A mathematical model for short-term vs. long-term survival in patients with. glioma

Supplementary Materials Extracting a Cellular Hierarchy from High-dimensional Cytometry Data with SPADE

Supplementary Figure 1. Enhanced detection of CTLA-4 on the surface of HIV-specific

Acute lung injury in children : from viral infection and mechanical ventilation to inflammation and apoptosis Bern, R.A.

Supplementary Figure S1. Generation of LSL-EZH2 conditional transgenic mice.

Nature Medicine: doi: /nm.3967

Patnaik SK, et al. MicroRNAs to accurately histotype NSCLC biopsies

Molecular Profiling of Tumor Microenvironment Alex Chenchik, Ph.D. Cellecta, Inc.

SUPPLEMENTARY FIGURES

L1 on PyMT tumor cells but Py117 cells are more responsive to IFN-γ. (A) Flow

SUPPLEMENTARY INFORMATION

Department of Chemistry, Université de Montréal, C.P. 6128, Succursale centre-ville, Montréal, Québec, H3C 3J7, Canada.

Supplementary. presence of the. (c) mrna expression. Error. in naive or

Supplementary Figure 1. A. Bar graph representing the expression levels of the 19 indicated genes in the microarrays analyses comparing human lung

Supplementary information. The proton-sensing G protein-coupled receptor T-cell death-associated gene 8

Transcription:

Supplementary Figure 1 RNA-Seq analysis of CD8 + TILs and N-TILs. (a) Schematic representation of the tumor and cell types used for the study. HNSCC, head and neck squamous cell cancer; NSCLC, non-small cell lung cancer; TIL, tumor-infiltrating lymphocyte; N-TIL, non-tumor-infiltrating lymphocyte. (b) Minus-average (MA) plots illustrate differentially expressed genes (red dots) for pairwise comparison of lung CD8 + N-TILs versus NSCLC CD8 + TILs (left), comparison of CD8 + TILs from NSCLC adenocarcinoma versus NSCLC squamous carcinoma (center), comparison of CD8 + TILs from HNSCC HPV-positive versus HPV-negative tumors (right) (DESeq2 analysis, Benjamini-Hochberg adjusted P <.5) (Online Methods and Supplementary Table 3). (c) Uupervised hierarchical clustering of the tracriptomes of all CD8 + N-TILs (grey) and CD8 + TILs from NSCLC adenocarcinoma (red) and squamous carcinoma (pink), HPV-negative (light blue) and HPV-positive (dark blue) HNSCC, based on the expression of genes with the highest variance (n = 1); each line represents an independent sample. (d) t-sne plots of CD8 + T cell core tracriptome (symbol) from N-TILs and TILs of indicated cancer subtypes. Color scheme is identical to (c). Data are from one experiment (b-d). Nature Immunology: doi:1.138/ni.3775

Supplementary Figure 2 Heterogeneity in the expression of molecules that are targets of immunotherapy. RNA-Seq analysis (row-wise normalized counts; bottom key) of various tracripts (left margin; one per row) in CD8 + TIL from patients with HNSCC (one per column); above, CD8 + TIL deity (top row; top left key) and tumor stage (bottom row; far right key) for each patient. Data are from one experiment. Nature Immunology: doi:1.138/ni.3775

Expression (normalized) Expression (normalized) PDCD1 expression (normalized) PD-1 a b 1.2 PBMC.3 2.4 Lung N-TIL. 7.3 NSCLC TIL 2.5 r =.8182 P =.5 4 8 Number of PD1 + cells 53.4 CD8 45.1 51.2 45.8 4.7 43.5 TIL lo TIL int TIL hi c PDCD1 4 r = -.1 5 7 8 9 Age (years) Male Female Adeno Sq I II III Tumor stage I Performance status Current Ex Never Smoking status TNFRSF9 4 r =.5 5 7 8 9 Age (years) Male Female Adeno Sq I II III I Current Ex Never Tumor stage Performance status Smoking status Supplementary Figure 3 Correlation of the abundance of PDCD1 and 4-1BB tracripts with clinical and pathological characteristics of patients with NSCLC. (a) Correlation of PDCD1 tracript expression (log 2 normalized counts) in NSCLC CD8 + TIL and the average number of tumorinfiltrating PD-1 + cells (quantified by immunohistochemistry). Each symbol represents an individual patient (n = 1) (r value and P value as in Fig. 3c,d). (b) Flow-cytometry analysis of the expression of PD-1 versus that of CD8 in live and singlet-gated CD45 + CD3 + T cells obtained from matched PBMC, lung N-TILs and NSCLC TILs (above plots) from the same patient. (c) Correlation of age of NSCLC patients with PDCD1 or 4-1BB tracript expression (log 2 normalized counts) in CD8 + TILs (left) (r value as in Fig. 3c,d). Bar graphs show PDCD1 or 4-1BB tracript expression in CD8 + TILs from patient groups categorized based on gender (first), tumor histology (second), tumor stage (third), performance status (fourth) and smoking status (fifth) of NSCLC patients; adenocarcinoma (Adeno), squamous carcinoma (Sq). Each symbol represents an individual patient (a,c); small horizontal lines are the mean (± s.e.m.). P value iignificant (Kolmogorov-Smirnov test). Data are from ten experiments (a) or one experiment (c) or representative of six experiments (b). Nature Immunology: doi:1.138/ni.3775

Supplementary Figure 4 TIL status of patients with NSCLC. Graph shows the average number of CD8α + cells per high power field (HPF) in tumor samples from each NSCLC patient (Online Methods). Nature Immunology: doi:1.138/ni.3775

CD9 CD49a KLRG1 CD2L CCR7 Percentage -Log(P value) a CAST CX3CR1 c 1 75 5 3 9 135 18 255 77 17 23 287 24 89 3 99 199 23 37 39 4 5 3.5 2.5 1.5 TNF Reduced cell movement S1A1 25.5 TIMP1 S1PR1 Upregulated Cytokine G-protein coupled receptor Peptidase Downregulated -Log(P value) Downregulated Other b 35.2 54 31 52.5 29.8.8.8.4.7.7 1 * % of CD9 + 5 9.9 29.1.9 53.2 14.1 38.4 2.4 51. 15.2 19.7 48.2 14.1 44.2 3.4 54. 1.8 44.4 1.3 54.2 1.3 1 * % of CD49a + 5 15.4 35.9 2.3 55.8. 2.3 3.4 53 25 28.5 41.2 2.8 41.5 1.8 53.3.5 43. 4.9 53.8 1.5 1 * % of KLRG1 + 5 7.4 31.1.9 4.9 17.5 34.8 3.2 44.5 14.7 42.4 54 11.3 41. 3 5.1 1.1 38. 3.4 55 2.8 1 * % of CD2L + 5 19.4.7 2. 7 1.5 17.1 4.2.7 8.3 8.8 38 1.4 47.4.9 48.5.4 47.7.8 4.1 1.8 15 % of CCR7 + 1 5 CD8 + CD13 - TIL 17.4 CD13 2.9 13.3 2.9 21.8 8 3 8.7 3 7.4 CD8 + CD13 + TIL Supplementary Figure 5 Pathways for which CD8 + TILs from NSCLC TIL hi tumors show enrichment, and phenotype of CD8 + CD13 + TILs. (a) Ingenuity pathway analysis of genes downregulated in CD8 + TILs from NSCLC TIL hi tumors relative to their expression in TIL lo tumors (blue), encoding molecules associated with tissue egress (shape indicates function (key)). (b) Flow-cytometry analysis of the expression of CD9, CD49a, KLRG1, CD2L or CCR7 versus that of CD13 in live and singlet-gated CD45 + CD3 + CD8 + T cells obtained from NSCLC TILs (left); frequency of CD13 + CD8 + or CD13 CD8 + TILs (n = ) that express the indicated surface marker (right). * P =.25 (CD9), P =.25 (CD49a), P =.1 (KLRG1), P =.21 (CD2L) (paired Student s two-tailed t-test). (c) Analysis of canonical pathways from the Ingenuity pathway analysis database (horizontal axis; bars in plot) for which CD8 + TILs from NSCLC TIL hi Nature Immunology: doi:1.138/ni.3775

tumors show enrichment (presented as in Fig. 2a) relative to their expression in TIL lo tumors (P values as in Fig. 2a). Each symbol (b) represents an individual sample; small horizontal lines indicate the mean (± s.e.m.). Data are from one experiment (a,c) or from six experiments (b). Nature Immunology: doi:1.138/ni.3775

Supplementary Figure CD13 (ITGAE) status of CD8 + TILs. (a) Correlation of ITGAE tracript expression (log 2 normalized counts) in NSCLC CD8 + TIL and the average number of tumorinfiltrating CD13 + cells (quantified by immunohistochemistry). Each symbol represents an individual patient (n = 1) (r value and P value as in Fig. 3c,d). (b) Classification of tumors on the basis of the expression of ITGAE (CD13) tracripts (normalized counts) in CD8 + TILs from each NSCLC patient (Online Methods). Data are from ten experiments (a) or one experiment (b). Nature Immunology: doi:1.138/ni.3775

Supplementary Figure 7 Deity of CD13 + cells is predictive of survival in lung cancer. a) Correlation of GZMB tracript expression (log 2 normalized counts) in NSCLC CD8 + TIL and the average number of tumor-infiltrating GZMB + cells (quantified by immunohistochemistry, n = 1) (r value and P value as in Fig. 3c,d). (b) Immunohistochemistry microscopy of cytokeratin, CD13, CD8α, PD-1 and GZMB (above images) in CD13 lo and CD13 hi NSCLC tumors (left margin). Scale bars, 1 μm. (c) Frequency of CD8 + TILs expressing the indicated molecules that are either CD13 + or CD13 - (n = 9-19). * P =.3 for GZMA and P =.29 for GZMB (paired Student s two-tailed t-test). (d) Frequency of CD13 + CD8 + and CD13 CD8 + TILs (n = 9-19) that express the indicated molecules. * P =.47 (paired Student s two-tailed t-test). (e) Expression (gmfi) of granzyme A or perforin in CD8 + TILs from CD13 lo tumors (n = 3-5) or CD13 hi (n = 7-8) tumors. NS, P value iignificant (Mann-Whitney test). (f) Survival of patients with lung adenocarcinoma from the TCGA dataset, classified on the basis of expression of ITGAE tracripts into CD13 hi tumors (upper 1 th percentile, n = 49) or CD13 lo tumors (lower 1 th percentile, n = 49). P =.148 (log-rank test). Each symbol represents an individual patient (a,e) or sample (c,d); small horizontal line indicates the mean (± s.e.m.). Data are from ten experiments (a) or nine to nineteen experiments (c,d) or thirteen experiments (e) or are representative of 1 experiments (b). Nature Immunology: doi:1.138/ni.3775