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Aims: This study aims to identify the biomarkers for chronic hypersensitivity pneumonitis (CHP) and facilitate the precise gene therapy of CHP. Background: Chronic hypersensitivity pneumonitis (CHP) is an interstitial lung disease caused by hypersensitive reactions to inhaled antigens. Clinically, the task of differentiating CHP and other interstitial lung diseases, especially idiopathic pulmonary fibrosis (IPF), was challenging. Objective: In this study, we analyzed the publically available gene expression profile of 82 CHP patients, 103 IPF patients, and 103 control samples to identify the CHP biomarkers. Method: The CHP biomarkers were selected with advanced feature selection methods: Monte Carlo Feature Selection (MCFS) and Incremental Feature Selection (IFS). A Support Vector Machine (SVM) classifier was built. Then, we analyzed these CHP biomarkers through functional enrichment analysis and differential co-expression analysis. Results: There were 674 identified CHP biomarkers. The co-expression network of these biomarkers in CHP included more negative regulations and the network structure of CHP was quite different from the network of IPF and control. Conclusion: The SVM classifier may serve as an important clinical tool to address the challenging task of differentiating between CHP and IPF. Many of the biomarker genes on the differential coexpression network showed great promise in revealing the underlying mechanisms of CHP.

As the outward-most representation of life, phenotype is the fundamental basis with which humans understand life and disease. But with the advent of molecular and sequencing technique and research, a growing portion of science research focuses primarily on the molecular level of life. Our understanding in molecular variations and mechanisms can only be fully utilized when they are translated into the phenotypic level. In this study, we constructed similarity network for phenotype ontology, and then applied network analysis methods to discover phenotype/disease clusters. Then, we used machine learning models to predict protein-phenotype associations. Each protein was characterized by the functional profiles of its interaction neighbors on the protein-protein interaction network. Our methods can not only predict protein-phenotype associations, but also reveal the underlying mechanisms from protein to phenotype.

Targeted therapies for molecularly-defined subtypes have led to immense clinical benefit for many cancer types but have generally not been successful for pancreatic cancer. Given that the mainstay of treatment remains multi-agent chemotherapy with FOLFIRINOX or gemcitabine/nab-paclitaxel, there remains an urgent need to identify novel actionable vulnerabilities for subsets of PDAC patients. Toward this end, we conducted an integrative, genome-scale examination of genetic dependencies and cell surface targets for PDAC by leveraging CRISPR and RNAi screening data from The Cancer Dependency Map Project, genomic data of bulk patient tumors from The Cancer Genome Atlas, and custom single-nucleus RNA-seq of a 43-patient cohort comprised of untreated and treated specimens. Our results re-affirm the prominence of Ras/MAPK signaling and a synthetically-lethal interaction between VPS4A/B, but also reveal recurrent susceptibilities to genes within the fatty acid metabolism, vesicular transport and exocytosis, and nucleobase synthesis pathways that otherwise have minor to moderate depleting effects on the majority of cell lines. Aberrations in frequent tumor suppressor genes and chromosomal arm-level variations appear to modify the strength of dependencies, including that of KRAS, CCND1, and GPX4, and may serve as predictive biomarkers of response. In addition, we leveraged mRNA profiling of bulk primary tumors as well as metastatic organoid models to conduct a genome-wide search for cell surface targets that are highly-expressed in tumors while lowly or not expressed in other toxicity-prone, non-malignant tissues. These putative drug targets do not need to be cancer dependencies and can be compatible with antibody-based therapeutic strategies that leverage alternative modes of cellular toxicity. Our approach identifies MSLN, NECTIN4, TROP2, and other antigens which have previously been shown to be largely tumor-specific but also reveals the expression of multiple putative targets within the CEACAM, claudin, and tetraspanin families. Finally, molecular subtyping efforts over the past decade have yielded classical and basal-like as consensus subtypes with variations therein, but genetic dependencies and cell surface expression patterns unique to either are insufficiently understood. We identified CLDN18, CEACAM5, and CEACAM6 as cell surface antigens for the classical subtype and MSLN, AQP5, and SLC6A14 for basal-like. Dependency on TLK2 and CCND1 is associated with the basal-like and classical subtype, respectively. Taken together, our integrative genomic approach may provide a precision medicine blueprint for stratifying and targeting pancreatic cancer. Citation Format: Jimmy A. Guo, Daniel Zhao, Scott P. Ginebaugh, Steven Wang, Ananya D. Jambhale, Patrick Z. Yu, Westley W. Wu, Peter Chen, Maryann Zhao, Kristen E. Lowder, Kevin S. Kapner, Hannah I. Hoffman, Stephanie W. Cheng, Daniel Y. Kim, Rebecca Boiarsky, Francois Aguet, Brenton Paolella, John M. Krill-Burger, James M. McFarland, Tobiloba Oni, Tyler Jacks, Aviv Regev, Gad Getz, William L. Hwang, Harshabad Singh, Andrew J. Aguirre. Integrative genomic characterization of therapeutic targets for pancreatic cancer [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2021 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2021;81(22 Suppl):Abstract nr PR-006.

The abundance of high-throughput data and technical refinements in graph theories have allowed network analysis to become an effective approach for various medical fields. This chapter introduces co-expression, Bayesian, and regression-based network construction methods, which are the basis of network analysis. Various methods in network topology analysis are explained, along with their unique features and applications in biomedicine. Furthermore, we explain the role of network embedding in reducing the dimensionality of networks and outline several popular algorithms used by researchers today. Current literature has implemented different combinations of topology analysis and network embedding techniques, and we outline several studies in the fields of genetic-based disease prediction, drug-target identification, and multi-level omics integration.

Green tea is an effective chemopreventive agent in animal tumor bioassays and some human cancers. Much of its cancer preventive effects appear to be mediated by its major polyphenolic constituent (-) epigallocatechin-3-gallate (EGCG). In order to better understand the molecular regulation underlying the anti-proliferative activity of EGCG in prostate cancer, we have utilized cDNA microarray to elucidate how EGCG alters program of gene expression in prostate carcinoma LNCaP cells. Fluorophore-labeled cDNA probes synthesized from the untreated LNCaP cells or the cells treated for 12 h with EGCG (12 microM), a physiologically achievable dose, were competitively hybridized to the microarray that contained a total of 250 kinases and phosphatases genes. Such high-throughput screening has identified a number of EGCG-responsive gene candidates. Of these, we found that EGCG induced a subset of genes that functionally could exhibit inhibitory effects on cell growth. The genes repressed by EGCG mostly belonged to the G-protein signaling network. Interestingly, the protein kinase C-alpha (PKC-alpha) form, whose inhibition of expression has been shown to inhibit cell growth in some cancer cells, was selectively repressed by EGCG while the expression of six other PKC isoforms (beta, delta, epsilon, micro, eta and zeta) was unaffected. These EGCG-responsive genes may provide key insights from which to understand mechanisms of action of other polyphenolic compounds in prostate cancer chemoprevention.

The PTEN gene is involved in 10q23 deletions in several types of cancer, including glioma, melanoma, endometrial and prostate carcinomas. The PTEN gene product is a dual-specificity phosphatase with putative tumor suppressor function. Deletions and rearrangements of 10q22-25 have been reported in approximately 5%-10% of non-Hodgkin's lymphomas (NHLs), raising the possibility of PTEN involvement in these tumors. In order to address this question, we analyzed a panel of NHLs (n = 74) representative of the main histologic subtypes for mutations and homozygous deletions of PTEN. We report somatic coding/splice site mutations in 20% (2 of 10) of Burkitt's lymphoma cell lines and in 3% (2 of 64) of primary NHL cases analyzed. No homozygous deletions were found in these tumors. Interestingly, this study showed that cytogenetically characterized NHL cases (n = 6) with 10q22-q25 abnormalities displayed neither biallelic deletions nor mutations of PTEN. These results suggest that a tumor suppressor gene distinct from PTEN may be involved in 10q deletions in this subgroup of NHL cases.

Protein tyrosine phosphatases (PTPs) have long been thought to play a role in tumor suppression due to their ability to antagonize the growth promoting protein tyrosine kinases. Recently, a candidate tumor suppressor from 10q23, termed P-TEN, was isolated, and sequence homology was demonstrated with members of the PTP family, as well as the cytoskeletal protein tensin. Here we show that recombinant P-TEN dephosphorylated protein and peptide substrates phosphorylated on serine, threonine, and tyrosine residues, indicating that P-TEN is a dual-specificity phosphatase. In addition, P-TEN exhibited a high degree of substrate specificity, showing selectivity for extremely acidic substrates in vitro . Furthermore, we demonstrate that mutations in P-TEN, identified from primary tumors, tumor cells lines, and a patient with Bannayan–Zonana syndrome, resulted in the ablation of phosphatase activity, demonstrating that enzymatic activity of P-TEN is necessary for its ability to function as a tumor suppressor.

Cowden disease (CD) is an autosomal dominant cancer predisposition syndrome associated with an elevated risk for tumours of the breast, thyroid and skin1–2. Lhermitte-Duclos disease (LDD) cosegregates with a subset of CD families and is associated with macrocephaly, ataxia and dysplastic cerebellar gangliocytomatosis3–4. The common feature of these diseases is a predisposition to hamartomas, benign tumours containing differentiated but disorganized cells indigenous to the tissue of origin. Linkage analysis has determined that a single locus within chromosome 10q23 is likely to be responsible for both of these diseases5. A candidate tumour suppressor gene (PTEN) within this region is mutated in sporadic brain, breast and prostate cancer6. Another group has independently isolated the same gene, termed MMAC1, and also found somatic mutations throughout the gene in advanced sporadic cancers7. Mutational analysis of PTEN in CD kindreds has identified germline mutations in four of five families. We found nonsense and missense mutations that are predicted to disrupt the protein tyrosine/dual-specificity phosphatase domain of this gene. Thus, PTEN appears to behave as a tumour suppressor gene in the germline. Our data also imply that PTEN may play a role in organizing the relationship of different cell types within an organ during development.

Mapping of homozygous deletions on human chromosome 10q23 has led to the isolation of a candidate tumor suppressor gene, PTEN , that appears to be mutated at considerable frequency in human cancers. In preliminary screens, mutations of PTEN were detected in 31% (13/42) of glioblastoma cell lines and xenografts, 100% (4/4) of prostate cancer cell lines, 6% (4/65) of breast cancer cell lines and xenografts, and 17% (3/18) of primary glioblastomas. The predicted PTEN product has a protein tyrosine phosphatase domain and extensive homology to tensin, a protein that interacts with actin filaments at focal adhesions. These homologies suggest that PTEN may suppress tumor cell growth by antagonizing protein tyrosine kinases and may regulate tumor cell invasion and metastasis through interactions at focal adhesions.

An active internal ribosome entry sequence (IRES) that efficiently mediates cap (m7pppGN)-independent translation in human carcinoma cells could be an effective device for gene co-transduction in cancer gene therapy. In this study using the cytomegalovirus (CMV) promoter, a remarkable internal translation activity was observed and mediated by the sequence localized to the 183-653 region of 5' NF-kappaB repressor mRNA (NFR183IRES). To test the potential of such sequence for therapeutic application, we carried out in vitro functional assays using the dicistronic constructs that internally expressed human PTEN tumor suppressor. The PTEN expression mediated by NFR183IRES was found to result in growth inhibition of carcinoma cells more effectively than the expression by NFR1IRES that contained the 1-653 region. When compared to the internal translation driven by the picornaviral IRES element of the encephalomyocarditis virus (EMCV) or the foot-and-mouth disease virus (FMDV), NFR183IRES consistently exhibited a higher activity in the human carcinoma cells, HeLa, LNCaP and MCF7. Such high-efficiency translational control element may prove useful for cancer gene therapy.

An active internal ribosome entry sequence (IRES) that efficiently mediates cap (m7pppGN)-independent translation in human carcinoma cells could be an effective device for gene co-transduction in cancer gene therapy. In this study using the cytomegalovirus (CMV) promoter, a remarkable internal translation activity was observed and mediated by the sequence localized to the 183-653 region of 5' NF-kappaB repressor mRNA (NFR183IRES). To test the potential of such sequence for therapeutic application, we carried out in vitro functional assays using the dicistronic constructs that internally expressed human PTEN tumor suppressor. The PTEN expression mediated by NFR183IRES was found to result in growth inhibition of carcinoma cells more effectively than the expression by NFR1IRES that contained the 1-653 region. When compared to the internal translation driven by the picornaviral IRES element of the encephalomyocarditis virus (EMCV) or the foot-and-mouth disease virus (FMDV), NFR183IRES consistently exhibited a higher activity in the human carcinoma cells, HeLa, LNCaP and MCF7. Such high-efficiency translational control element may prove useful for cancer gene therapy.

CYP3A2 and CYP3A23 are two cytochrome P450 genes in rat that are differentially regulated in both their constitutive activities and their responsiveness to glucocorticoids, the prototypic CYP3A inducers. CYP3A2 displays 20–25% of the response to glucocorticoids as CYP3A23 despite extensive sequence homology in their 5′-regulatory regions. Promoter deletion analyses revealed that the CYP3A2 -57 to -168 region, homologous to the CYP3A23 dexamethasone-responsive region, mediated its low level activation. When this region was analyzed by DNase I footprinting, three binding sites were shown to correspond to the functional elements described for CYP3A23: DexRE-1, DexRE-2, and Site A (J. M. Huss and C. B. Kasper (1998) J. Biol. Chem. 273: 16155–16162). The CYP3A2 DexRE-2 and Site A elements bear two mismatches each from the CYP3A23 elements but displayed similar binding patterns in footprinting and gel-shift analyses as their CYP3A23 counterparts. The region containing 3A2DexRE-1 has six mismatches and displayed unique footprinting and gel-shift patterns compared to 3A23DexRE-1. Functional assays revealed that four mismatches within the DexRE-1 and DexRE-2 elements accounted for the differential inducibility of the two isoforms. We propose that the reduced responsiveness of CYP3A2 is the result of preferential binding of COUP-TF at the CYP3A2 DexRE-1 site. In contrast, CYP3A23 DexRE-1 associates with an accessory factor(s) that acts in concert with downstream sites to mediate the strong glucocorticoid induction response observed for CYP3A23. Site A mismatches did not influence induction magnitude but were responsible for basal activity differences. Higher CYP3A23 basal activity appears to be due to an E-box in 3A23SiteA that interacts with USF1, a ubiquitous bHLH/leucine zipper transcription factor. This site is disrupted in the corresponding 3A2SiteA. Hence, 4 nucleotide mismatches within two elements account for the difference in glucocorticoid induction, and a single mismatch is responsible for the fivefold difference in the basal activities of CYP3A2 and CYP3A23.

To determine the status of chromosome 10q23 in primary breast carcinomas, in situ and invasive carcinomas were analysed for allelic loss using microsatellite markers spanning the 10q23 region. No LOH was seen in pure intraductal carcinomas (0/20 cases). On the other hand, LOH was observed in 40% (17/42) of invasive carcinomas (P = 0.0005). Interestingly, in situ lesions found in invasive tumors displayed LOH. Allelic loss was also significantly associated with loss of the estrogen receptor (P = 0.011). Thus, loss of the 10q23 is strongly associated with tumor progression.

A new tumor suppressor gene PTEN/MMAC1 was recently isolated at chromosome 10q23 and found to be inactivated by point mutation or homozygous deletion in glioma, prostate and breast cancer. PTEN/MMAC1 was also identified as the gene predisposing to Cowden disease, an autosomal dominant cancer predisposition syndrome associated with an increased risk of breast, skin and thyroid tumors and occasional cases of other cancers including bladder and renal cell carcinoma. We screened 345 urinary tract cancers by microsatellite analysis and found chromosome 10q to be deleted in 65 of 285 (23%) bladder and 15 of 60 (25%) renal cell cancers. We then screened the entire PTEN/MMAC1 coding region for mutation in 25 bladder and 15 renal cell primary tumors with deletion of chromosome 10q. Two somatic point mutations, a frameshift and a splicing variant, were found in the panel of bladder tumors while no mutation was observed in the renal cell carcinomas. To screen for homozygous deletion, we isolated two polymorphic microsatellite repeats from genomic BAC clones containing the PTEN/MMAC1 gene. Using these new informative markers, we identified apparent retention at the gene locus indicative of homozygous deletion of PTEN/MMAC1 in four of 65 bladder and 0 of 15 renal cell tumors with LOH through chromosome 10q. Identification of the second inactivation event in six bladder tumors with LOH of 10q implies that the PTEN/MMAC1 gene is occasionally involved in bladder tumorigenesis. However, the low frequency of biallelic inactivation suggests that either PTEN/MMAC1 is inactivated by other mechanisms or it is not the only target of chromosome 10q deletion in primary bladder and renal cell cancer.