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135 Defining the T cell landscape and neoantigens via T-cell receptor sequencing and gene expression profiling in cutaneous squamous cell carcinoma [Meeting Abstract]
Doudican, N A; Santana, A; Felsen, D; Khodadadi-Jamayran, A; Tsirigos, A; Carucci, J
Background: Immune response is key in defense against cutaneous squamous cell carcinoma (cSCC). We aim to better target T cell killing to treat cancer. Method(s): CD8+ tumor infiltrating lymphocytes (TILs) obtained from fresh SCC tumor specimens from immunocompetent (n=5) versus organ transplant recipients (OTRs; n=6) were subject to single-cell RNA profiling and T-cell receptor (TCR) sequencing. Data were analyzed using scSeqR. Result(s): CD8+ TILs were clustered based on gene expression as follows: effector T cells (GZMA, GZMB, IFN-gamma); naive T cells (CCR7, LEF1, TCF7, IL7R); exhausted T cells (BTLA, CTLA4, PDCD1, TIM3, LAG3); and regulatory T cells (FOXP3, STAT3, TNFSRF). CD8+ TIL clonotypes show potential for response to known and uncharacterized antigens. CD8+ TILs from OTRs exhibited more homogeneous gene expression compared with immunocompetent patients. Regulatory and exhausted T cells were reduced in OTRs. TILs from both OTRs and immunocompetent patients showed clonality. However, more TCR clonotypes were observed in immunocompetent patients (mean = 1140) than OTRs (mean = 544). We analyzed common beta TCR from SCC via multiple bioinformatics-based approaches. Clonotypes common to more than one SCC from immune competent patients included breast cancer-associated keratin 19 and proliferation-associated striatin. OTR clonotypes included tumor-suppressor associated MOB kinase 1A and breast cancer-associated ADAM9. Conclusion(s): CD8+ TILs from cSCC showed clonotype restriction, implying T cell mediated anti-tumor response. We will refine our understanding of the SCC T cell landscape and identify and screen neoantigens with the goal of developing rational T cell-based cancer therapy.
EMBASE:2001808802
ISSN: 1523-1747
CID: 3811712
A Deep Learning Approach for Rapid Mutational Screening in Melanoma [PrePrint]
Kim, Randie H; Nomikou, Sofia; Dawood, Zarmeena; Jour, George; Donnelly, Douglas; Moran, Una; Weber, Jeffrey S; Razavian, Narges; Snuderl, Matija; Shapiro, Richard; Berman, Russell S; Coudray, Nicloas; Osman, Iman; Tsirigos, Aristotelis
ORIGINAL:0014818
ISSN: 2692-8205
CID: 4662142
Cell surface Notch ligand DLL3 is a therapeutic target in isocitrate dehydrogenase mutant glioma
Spino, Marissa; Kurz, Sylvia C; Chiriboga, Luis; Serrano, Jonathan; Zeck, Briana; Sen, Namita; Patel, Seema; Shen, Guomiao; Vasudevaraja, Varshini; Tsirigos, Aristotelis; Suryadevara, Carter M; Frenster, Joshua D; Tateishi, Kensuke; Wakimoto, Hiroaki; Jain, Rajan; Riina, Howard A; Nicolaides, Theodore; Sulman, Erik P; Cahill, Daniel P; Golfinos, John G; Isse, Kumiko; Saunders, Laura R; Zagzag, David; Placantonakis, Dimitris G; Snuderl, Matija; Chi, Andrew S
PURPOSE/OBJECTIVE:Isocitrate dehydrogenase (IDH) mutant gliomas are a distinct glioma molecular subtype for which no effective molecularly-directed therapy exists. Low-grade gliomas, which are 80-90% IDH mutant, have high RNA levels of the cell surface Notch ligand DLL3. We sought to determine DLL3 expression by immunohistochemistry in glioma molecular subtypes and the potential efficacy of an anti-DLL3 antibody drug conjugate (ADC), rovalpituzumab tesirine (Rova-T), in IDH mutant glioma. EXPERIMENTAL DESIGN/METHODS:We evaluated DLL3 expression by RNA using TCGA data and by immunohistochemistry in a discovery set of 63 gliomas and 20 non-tumor brain tissues and a validation set of 62 known IDH wildtype and mutant gliomas using a monoclonal anti-DLL3 antibody. Genotype was determined using a DNA methylation array classifier or by sequencing. The effect of Rova-T on patient-derived endogenous IDH mutant glioma tumorspheres was determined by cell viability assay. RESULTS:Compared to IDH wildtype glioblastoma, IDH mutant gliomas have significantly higher DLL3 RNA (P<1x10-15) and protein by immunohistochemistry (P=0.0014 and P<4.3x10-6 in the discovery and validation set, respectively). DLL3 immunostaining was intense and homogeneous in IDH mutant gliomas, retained in all recurrent tumors, and detected in only 1 of 20 non-tumor brains. Patient-derived IDH mutant glioma tumorspheres overexpressed DLL3 and were potently sensitive to Rova-T in an antigen-dependent manner. CONCLUSIONS:DLL3 is selectively and homogeneously expressed in IDH mutant gliomas and can be targeted with Rova-T in patient-derived IDH mutant glioma tumorspheres. Our findings are potentially immediately translatable and have implications for therapeutic strategies that exploit cell surface tumor-associated antigens.
PMID: 30397180
ISSN: 1078-0432
CID: 3455762
Draft Genome Sequence of Streptococcus halitosis sp. nov., Isolated from the Dorsal Surface of the Tongue of a Patient with Halitosis
Tetz, George; Vikina, Daria; Brown, Stuart; Zappile, Paul; Dolgalev, Igor; Tsirigos, Aristotelis; Heguy, Adriana; Tetz, Victor
Here, we report the draft genome of Streptococcus halitosis sp. nov. strain VT-4, a novel bacterium isolated from the dorsal part of the tongue of a patient with halitosis. The genome comprised 1,880,608 bp with a GC content of 41.0%. There were 1,782 predicted protein-coding genes, including those associated with virulence and antibiotic resistance.
PMCID:6346211
PMID: 30701262
ISSN: 2576-098x
CID: 3626792
Predicting BRAF and NRAS Mutations Using Deep Learning on Histopathology Images of Melanoma [Meeting Abstract]
Kim, Randie; Nomikou, Sofia; Dawood, Zarmeena; Coudray, Nicolas; Jour, George; Moran, Una; Razavian, Narges; Osman, Iman; Tsirigos, Aristotelis
ISI:000478915500468
ISSN: 0893-3952
CID: 4048102
Predicting BRAF and NRAS Mutations Using Deep Learning on Histopathology Images of Melanoma [Meeting Abstract]
Kim, Randie; Nomikou, Sofia; Dawood, Zarmeena; Coudray, Nicolas; Jour, George; Moran, Una; Razavian, Narges; Osman, Iman; Tsirigos, Aristotelis
ISI:000478081100486
ISSN: 0023-6837
CID: 4048332
Long Noncoding RNAs (LncRNAs) Signatures in Prostate Cancer: External Validation with The Cancer Genome Atlas (TCGA) database [Meeting Abstract]
Parimi (Parini), Vamsi; Vasudevaraja, Varshini; Xia, Yuhe; Selvaraj, Shanmugapriya; Mezzano, Valeria; Jour, George; Snuderl, Matija; Tsirigos, Aristotelis; Deng, Fangming; Melamed, Jonathan
ISI:000478081101390
ISSN: 0023-6837
CID: 4048392
Overcome LKB1 mutated cancer resistance to anti-PD1 treatment [Meeting Abstract]
Deng, Jiehui; Thennavan, Aatish; Pan, Yuanwang; Dolgalev, Igor; Chen, Ting; Silver, Heather; Harris, Matthew; Pyon, Val; Li, Fei; Lee, Chelsea; Tsirigos, Aristotelis; Rothenberg, Eli; Perou, Charles M.; Wong, Kwok-Kin
ISI:000488279402164
ISSN: 0008-5472
CID: 5381142
KLF4, A Gene Regulating Prostate Stem Cell Homeostasis, Is a Barrier to Malignant Progression and Predictor of Good Prognosis in Prostate Cancer
Xiong, Xiaozhong; Schober, Markus; Tassone, Evelyne; Khodadadi-Jamayran, Alireza; Sastre-Perona, Ana; Zhou, Hua; Tsirigos, Aristotelis; Shen, Steven; Chang, Miao; Melamed, Jonathan; Ossowski, Liliana; Wilson, Elaine L
There is a considerable need to identify those individuals with prostate cancer who have indolent disease. We propose that genes that control adult stem cell homeostasis in organs with slow turnover, such as the prostate, control cancer fate. One such gene, KLF4, overexpressed in murine prostate stem cells, regulates their homeostasis, blocks malignant transformation, and controls the self-renewal of tumor-initiating cells. KLF4 loss induces the molecular features of aggressive cancer and converts PIN lesions to invasive sarcomatoid carcinomas; its re-expression in vivo reverses this process. Bioinformatic analysis links these changes to human cancer. KLF4 and its downstream targets make up a gene signature that identifies indolent tumors and predicts recurrence-free survival. This approach may improve prognosis and identify therapeutic targets for advanced cancer.
PMID: 30540935
ISSN: 2211-1247
CID: 3543262
Airway Microbiota Is Associated with Up-Regulation of the PI3K Pathway in Lung Cancer
Tsay, Jun-Chieh J; Wu, Benjamin G; Badri, Michelle H; Clemente, Jose C; Shen, Nan; Meyn, Peter; Li, Yonghua; Yie, Ting-An; Lhakhang, Tenzin; Olsen, Evan; Murthy, Vivek; Michaud, Gaetane; Sulaiman, Imran; Tsirigos, Aristotelis; Heguy, Adriana; Pass, Harvey; Weiden, Michael D; Rom, William N; Sterman, Daniel H; Bonneau, Richard; Blaser, Martin J; Segal, Leopoldo N
BACKGROUND:In lung cancer, upregulation of the PI3K pathway is an early event that contributes to cell proliferation, survival, and tissue invasion. Upregulation of this pathway was recently described as associated with enrichment of the lower airways with bacteria identified as oral commensals. We hypothesize that host-microbe interactions in the lower airways of subjects with lung cancer affect known cancer pathways. METHODS:Airway brushes were collected prospectively from subjects with lung nodules at time of diagnostic bronchoscopy, including 39 subjects with final lung cancer diagnoses and 36 subjects with non-cancer diagnosis. Additionally, samples from 10 healthy control subjects were included. 16S rRNA gene amplicon sequencing and paired transcriptome sequencing (RNAseq) were performed on all airway samples. In addition, an in vitro model with airway epithelial cells exposed to bacteria/bacterial products was performed. RESULTS:The composition of the lower airway transcriptome in the cancer patients was significantly different from the controls, which included upregulation of ERK and PI3K signaling pathways. The lower airways of lung cancer patients were enriched for oral taxa (Streptococcus and Veillonella), which was associated with upregulation of the ERK and PI3K signaling pathways. In vitro exposure of airway epithelial cells to Veillonella, Prevotella, and Streptococcus led to upregulation of these same signaling pathways. CONCLUSIONS:The data presented here shows that several transcriptomic signatures previously identified as relevant to lung cancer pathogenesis are associated with enrichment of the lower airway microbiota with oral commensals.
PMID: 29864375
ISSN: 1535-4970
CID: 3144342