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Datta J, Bianchi A, De Castro Silva I, Deshpande NU, Cao LL, Mehra S, Singh S, Rafie C, Sun X, Chen X, Dai X, Colaprico A, Sharma P, Dosch AR, Pillai A, Hosein PJ, Nagathihalli NS, Komanduri KV, Wilson JM, Ban Y, Merchant NB. Distinct mechanisms of innate and adaptive immune regulation underlie poor oncologic outcomes associated with KRAS-TP53 co-alteration in pancreatic cancer. Oncogene 2022; 41:3640-3654. [PMID: 35701533 DOI: 10.1038/s41388-022-02368-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 05/14/2022] [Accepted: 05/30/2022] [Indexed: 11/08/2022]
Abstract
Co-occurrent KRAS and TP53 mutations define a majority of patients with pancreatic ductal adenocarcinoma (PDAC) and define its pro-metastatic proclivity. Here, we demonstrate that KRAS-TP53 co-alteration is associated with worse survival compared with either KRAS-alone or TP53-alone altered PDAC in 245 patients with metastatic disease treated at a tertiary referral cancer center, and validate this observation in two independent molecularly annotated datasets. Compared with non-TP53 mutated KRAS-altered tumors, KRAS-TP53 co-alteration engenders disproportionately innate immune-enriched and CD8+ T-cell-excluded immune signatures. Leveraging in silico, in vitro, and in vivo models of human and murine PDAC, we discover a novel intersection between KRAS-TP53 co-altered transcriptomes, TP63-defined squamous trans-differentiation, and myeloid-cell migration into the tumor microenvironment. Comparison of single-cell transcriptomes between KRAS-TP53 co-altered and KRAS-altered/TP53WT tumors revealed cancer cell-autonomous transcriptional programs that orchestrate innate immune trafficking and function. Moreover, we uncover granulocyte-derived inflammasome activation and TNF signaling as putative paracrine mediators of innate immunoregulatory transcriptional programs in KRAS-TP53 co-altered PDAC. Immune subtyping of KRAS-TP53 co-altered PDAC reveals conflation of intratumor heterogeneity with progenitor-like stemness properties. Coalescing these distinct molecular characteristics into a KRAS-TP53 co-altered "immunoregulatory program" predicts chemoresistance in metastatic PDAC patients enrolled in the COMPASS trial, as well as worse overall survival.
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Affiliation(s)
- Jashodeep Datta
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA.
- Sylvester Comprehensive Cancer Center, Miami, FL, USA.
| | - Anna Bianchi
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Iago De Castro Silva
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Nilesh U Deshpande
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Long Long Cao
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Siddharth Mehra
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Samara Singh
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christine Rafie
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Xiaodian Sun
- Biostatistics and Bioinformatics Shared Resource, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Xi Chen
- Biostatistics and Bioinformatics Shared Resource, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Xizi Dai
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Antonio Colaprico
- Biostatistics and Bioinformatics Shared Resource, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Prateek Sharma
- Department of Surgery, University of Nebraska, Omaha, NE, USA
| | - Austin R Dosch
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Asha Pillai
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL, USA
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Peter J Hosein
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Nagaraj S Nagathihalli
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Krishna V Komanduri
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Julie M Wilson
- PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Yuguang Ban
- Biostatistics and Bioinformatics Shared Resource, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Nipun B Merchant
- Division of Surgical Oncology, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
- Sylvester Comprehensive Cancer Center, Miami, FL, USA
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Lokeshwar SD, Lopez M, Sarcan S, Aguilar K, Morera DS, Shaheen DM, Lokeshwar BL, Lokeshwar VB. Molecular Oncology of Bladder Cancer from Inception to Modern Perspective. Cancers (Basel) 2022; 14:cancers14112578. [PMID: 35681556 PMCID: PMC9179261 DOI: 10.3390/cancers14112578] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/19/2022] [Accepted: 05/20/2022] [Indexed: 02/05/2023] Open
Abstract
Within the last forty years, seminal contributions have been made in the areas of bladder cancer (BC) biology, driver genes, molecular profiling, biomarkers, and therapeutic targets for improving personalized patient care. This overview includes seminal discoveries and advances in the molecular oncology of BC. Starting with the concept of divergent molecular pathways for the development of low- and high-grade bladder tumors, field cancerization versus clonality of bladder tumors, cancer driver genes/mutations, genetic polymorphisms, and bacillus Calmette-Guérin (BCG) as an early form of immunotherapy are some of the conceptual contributions towards improving patient care. Although beginning with a promise of predicting prognosis and individualizing treatments, "-omic" approaches and molecular subtypes have revealed the importance of BC stem cells, lineage plasticity, and intra-tumor heterogeneity as the next frontiers for realizing individualized patient care. Along with urine as the optimal non-invasive liquid biopsy, BC is at the forefront of the biomarker field. If the goal is to reduce the number of cystoscopies but not to replace them for monitoring recurrence and asymptomatic microscopic hematuria, a BC marker may reach clinical acceptance. As advances in the molecular oncology of BC continue, the next twenty-five years should significantly advance personalized care for BC patients.
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Affiliation(s)
- Soum D. Lokeshwar
- Department of Urology, Yale University School of Medicine, New Haven, CT 06520, USA;
| | - Maite Lopez
- Departments of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, 1410 Laney Walker Blvd., Augusta, GA 30912, USA; (M.L.); (S.S.); (K.A.); (D.S.M.)
| | - Semih Sarcan
- Departments of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, 1410 Laney Walker Blvd., Augusta, GA 30912, USA; (M.L.); (S.S.); (K.A.); (D.S.M.)
- Department of Urology, University Hospital Schleswig-Holstein, Campus Lübeck, 23562 Lübeck, Germany
| | - Karina Aguilar
- Departments of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, 1410 Laney Walker Blvd., Augusta, GA 30912, USA; (M.L.); (S.S.); (K.A.); (D.S.M.)
| | - Daley S. Morera
- Departments of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, 1410 Laney Walker Blvd., Augusta, GA 30912, USA; (M.L.); (S.S.); (K.A.); (D.S.M.)
| | - Devin M. Shaheen
- Yale School of Nursing, Yale University, New Haven, CT 06520, USA;
| | - Bal L. Lokeshwar
- Georgia Cancer Center, Medical College of Georgia, Augusta University, 1410 Laney Walker Blvd., Augusta, GA 30912, USA
- Research Service, Charlie Norwood VA Medical Center, Augusta, GA 30904, USA
- Correspondence: (B.L.L.); (V.B.L.)
| | - Vinata B. Lokeshwar
- Departments of Biochemistry and Molecular Biology, Medical College of Georgia, Augusta University, 1410 Laney Walker Blvd., Augusta, GA 30912, USA; (M.L.); (S.S.); (K.A.); (D.S.M.)
- Correspondence: (B.L.L.); (V.B.L.)
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Mucaki EJ, Shirley BC, Rogan PK. Improved radiation expression profiling in blood by sequential application of sensitive and specific gene signatures. Int J Radiat Biol 2021; 98:924-941. [PMID: 34699300 DOI: 10.1080/09553002.2021.1998709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE Combinations of expressed genes can discriminate radiation-exposed from normal control blood samples by machine learning (ML) based signatures (with 8-20% misclassification rates). These signatures can quantify therapeutically relevant as well as accidental radiation exposures. The prodromal symptoms of acute radiation syndrome (ARS) overlap those present in influenza and dengue fever infections. Surprisingly, these human radiation signatures misclassified gene expression profiles of virally infected samples as false positive exposures. The present study investigates these and other confounders, and then mitigates their impact on signature accuracy. METHODS This study investigated recall by previous and novel radiation signatures independently derived from multiple Gene Expression Omnibus datasets on common and rare non-neoplastic blood disorders and blood-borne infections (thromboembolism, S. aureus bacteremia, malaria, sickle cell disease, polycythemia vera, and aplastic anemia). Normalized expression levels of signature genes are used as input to ML-based classifiers to predict radiation exposure in other hematological conditions. RESULTS Except for aplastic anemia, these blood-borne disorders modify the normal baseline expression values of genes present in radiation signatures, leading to false-positive misclassification of radiation exposures in 8-54% of individuals. Shared changes, predominantly in DNA damage response and apoptosis-related gene transcripts in radiation and confounding hematological conditions, compromise the utility of these signatures for radiation assessment. These confounding conditions (sickle cell disease, thrombosis, S. aureus bacteremia, malaria) induce neutrophil extracellular traps, initiated by chromatin decondensation, DNA damage response and fragmentation followed by programmed cell death or extrusion of DNA fragments. Riboviral infections (e.g. influenza or dengue fever) have been proposed to bind and deplete host RNA binding proteins, inducing R-loops in chromatin. R-loops that collide with incoming replication forks can result in incompletely repaired DNA damage, inducing apoptosis and releasing mature virus. To mitigate the effects of confounders, we evaluated predicted radiation-positive samples with novel gene expression signatures derived from radiation-responsive transcripts encoding secreted blood plasma proteins whose expression levels are unperturbed by these conditions. CONCLUSIONS This approach identifies and eliminates misclassified samples with underlying hematological or infectious conditions, leaving only samples with true radiation exposures. Diagnostic accuracy is significantly improved by selecting genes that maximize both sensitivity and specificity in the appropriate tissue using combinations of the best signatures for each of these classes of signatures.
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Affiliation(s)
- Eliseos J Mucaki
- Department of Biochemistry, University of Western Ontario, London, Canada
| | | | - Peter K Rogan
- Department of Biochemistry, University of Western Ontario, London, Canada.,CytoGnomix Inc., London, Canada
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Kathad U, Kulkarni A, McDermott JR, Wegner J, Carr P, Biyani N, Modali R, Richard JP, Sharma P, Bhatia K. A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications. BMC Bioinformatics 2021; 22:102. [PMID: 33653269 PMCID: PMC7923321 DOI: 10.1186/s12859-021-04040-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 02/15/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Non-targeted cytotoxics with anticancer activity are often developed through preclinical stages using response criteria observed in cell lines and xenografts. A panel of the NCI-60 cell lines is frequently the first line to define tumor types that are optimally responsive. Open data on the gene expression of the NCI-60 cell lines, provides a unique opportunity to add another dimension to the preclinical development of such drugs by interrogating correlations with gene expression patterns. Machine learning can be used to reduce the complexity of whole genome gene expression patterns to derive manageable signatures of response. Application of machine learning in early phases of preclinical development is likely to allow a better positioning and ultimate clinical success of molecules. LP-184 is a highly potent novel alkylating agent where the preclinical development is being guided by a dedicated machine learning-derived response signature. We show the feasibility and the accuracy of such a signature of response by accurately predicting the response to LP-184 validated using wet lab derived IC50s on a panel of cell lines. RESULTS We applied our proprietary RADR® platform to an NCI-60 discovery dataset encompassing LP-184 IC50s and publicly available gene expression data. We used multiple feature selection layers followed by the XGBoost regression model and reduced the complexity of 20,000 gene expression values to generate a 16-gene signature leading to the identification of a set of predictive candidate biomarkers which form an LP-184 response gene signature. We further validated this signature and predicted response to an additional panel of cell lines. Considering fold change differences and correlation between actual and predicted LP-184 IC50 values as validation performance measures, we obtained 86% accuracy at four-fold cut-off, and a strong (r = 0.70) and significant (p value 1.36e-06) correlation between actual and predicted LP-184 sensitivity. In agreement with the perceived mechanism of action of LP-184, PTGR1 emerged as the top weighted gene. CONCLUSION Integration of a machine learning-derived signature of response with in vitro assessment of LP-184 efficacy facilitated the derivation of manageable yet robust biomarkers which can be used to predict drug sensitivity with high accuracy and clinical value.
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Affiliation(s)
- Umesh Kathad
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA.
| | - Aditya Kulkarni
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA
| | | | - Jordan Wegner
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA
| | - Peter Carr
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA
| | - Neha Biyani
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA
| | - Rama Modali
- REPROCELL USA Inc., 9000 Virginia Manor Rd, Ste 207, Beltsville, MD, 20705, USA
| | | | - Panna Sharma
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA
| | - Kishor Bhatia
- Lantern Pharma, Inc., 1920 McKinney Ave, 7th floor, Dallas, TX, 75201, USA
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Rogan PK, Mucaki EJ, Shirley BC. A proposed molecular mechanism for pathogenesis of severe RNA-viral pulmonary infections. F1000Res 2020; 9:943. [PMID: 33299552 PMCID: PMC7676395 DOI: 10.12688/f1000research.25390.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/23/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Certain riboviruses can cause severe pulmonary complications leading to death in some infected patients. We propose that DNA damage induced-apoptosis accelerates viral release, triggered by depletion of host RNA binding proteins (RBPs) from nuclear RNA bound to replicating viral sequences. Methods: Information theory-based analysis of interactions between RBPs and individual sequences in the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), Influenza A (H3N1), HIV-1, and Dengue genomes identifies strong RBP binding sites in these viral genomes. Replication and expression of viral sequences is expected to increasingly sequester RBPs - SRSF1 and RNPS1. Ordinarily, RBPs bound to nascent host transcripts prevents their annealing to complementary DNA. Their depletion induces destabilizing R-loops. Chromosomal breakage occurs when an excess of unresolved R-loops collide with incoming replication forks, overwhelming the DNA repair machinery. We estimated stoichiometry of inhibition of RBPs in host nuclear RNA by counting competing binding sites in replicating viral genomes and host RNA. Results: Host RBP binding sites are frequent and conserved among different strains of RNA viral genomes. Similar binding motifs of SRSF1 and RNPS1 explain why DNA damage resulting from SRSF1 depletion is complemented by expression of RNPS1. Clustering of strong RBP binding sites coincides with the distribution of RNA-DNA hybridization sites across the genome. SARS-CoV-2 replication is estimated to require 32.5-41.8 hours to effectively compete for binding of an equal proportion of SRSF1 binding sites in host encoded nuclear RNAs. Significant changes in expression of transcripts encoding DNA repair and apoptotic proteins were found in an analysis of influenza A and Dengue-infected cells in some individuals. Conclusions: R-loop-induced apoptosis indirectly resulting from viral replication could release significant quantities of membrane-associated virions into neighboring alveoli. These could infect adjacent pneumocytes and other tissues, rapidly compromising lung function, causing multiorgan system failure and other described symptoms.
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Affiliation(s)
- Peter K. Rogan
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
- CytoGnomix Inc, London, Ontario, N5X 3X5, Canada
| | - Eliseos J. Mucaki
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
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Rogan PK, Mucaki EJ, Shirley BC. A proposed molecular mechanism for pathogenesis of severe RNA-viral pulmonary infections. F1000Res 2020; 9:943. [PMID: 33299552 PMCID: PMC7676395 DOI: 10.12688/f1000research.25390.2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/16/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Certain riboviruses can cause severe pulmonary complications leading to death in some infected patients. We propose that DNA damage induced-apoptosis accelerates viral release, triggered by depletion of host RNA binding proteins (RBPs) from nuclear RNA bound to replicating viral sequences. Methods: Information theory-based analysis of interactions between RBPs and individual sequences in the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), Influenza A (H3N2), HIV-1, and Dengue genomes identifies strong RBP binding sites in these viral genomes. Replication and expression of viral sequences is expected to increasingly sequester RBPs - SRSF1 and RNPS1. Ordinarily, RBPs bound to nascent host transcripts prevents their annealing to complementary DNA. Their depletion induces destabilizing R-loops. Chromosomal breakage occurs when an excess of unresolved R-loops collide with incoming replication forks, overwhelming the DNA repair machinery. We estimated stoichiometry of inhibition of RBPs in host nuclear RNA by counting competing binding sites in replicating viral genomes and host RNA. Results: Host RBP binding sites are frequent and conserved among different strains of RNA viral genomes. Similar binding motifs of SRSF1 and RNPS1 explain why DNA damage resulting from SRSF1 depletion is complemented by expression of RNPS1. Clustering of strong RBP binding sites coincides with the distribution of RNA-DNA hybridization sites across the genome. SARS-CoV-2 replication is estimated to require 32.5-41.8 hours to effectively compete for binding of an equal proportion of SRSF1 binding sites in host encoded nuclear RNAs. Significant changes in expression of transcripts encoding DNA repair and apoptotic proteins were found in an analysis of influenza A and Dengue-infected cells in some individuals. Conclusions: R-loop-induced apoptosis indirectly resulting from viral replication could release significant quantities of membrane-associated virions into neighboring alveoli. These could infect adjacent pneumocytes and other tissues, rapidly compromising lung function, causing multiorgan system failure and other described symptoms.
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Affiliation(s)
- Peter K. Rogan
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
- CytoGnomix Inc, London, Ontario, N5X 3X5, Canada
| | - Eliseos J. Mucaki
- Biochemistry, University of Western Ontario, London, Ontario, N6A 2C8, Canada
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