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Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma
Johannet, Paul; Coudray, Nicolas; Donnelly, Douglas M; Jour, George; Illa-Bochaca, Irineu; Xia, Yuhe; Johnson, Douglas B; Wheless, Lee; Patrinely, James R; Nomikou, Sofia; Rimm, David L; Pavlick, Anna C; Weber, Jeffrey S; Zhong, Judy; Tsirigos, Aristotelis; Osman, Iman
PURPOSE/OBJECTIVE:Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep learning on histology specimens with clinical data to predict ICI response in advanced melanoma. EXPERIMENTAL DESIGN/METHODS:We used a training cohort from New York University (New York, NY) and a validation cohort from Vanderbilt University (Nashville, TN). We built a multivariable classifier that integrates neural network predictions with clinical data. A ROC curve was generated and the optimal threshold was used to stratify patients as high versus low risk for progression. Kaplan-Meier curves compared progression-free survival (PFS) between the groups. The classifier was validated on two slide scanners (Aperio AT2 and Leica SCN400). RESULTS:= 0.03 for the Leica SCN400). CONCLUSIONS:Histology slides and patients' clinicodemographic characteristics are readily available through standard of care and have the potential to predict ICI treatment outcomes. With prospective validation, we believe our approach has potential for integration into clinical practice.
PMID: 33208341
ISSN: 1078-0432
CID: 4672842
Investigating the Spectrum of Dermatologic Manifestations in COVID-19 Infection in Severely Ill Patients - A Series of Four Cases [Case Report]
Occidental, Michael; Flaifel, Abdallah; Lin, Lawrence H; Guzzetta, Melissa; Thomas, Kristen; Jour, George
PMID: 32896915
ISSN: 1600-0560
CID: 4588872
Evaluation of the Lower Airway Microbiota in Patients with Severe SARS-CoV2 [Meeting Abstract]
Barnett, C. R.; Sulaiman, I; Tsay, J-C; Wu, B.; Krolikowski, K.; Li, Y.; Postelnicu, R.; Carpenito, J.; Rafeq, S.; Clemente, J. C.; Angel, L. F.; Mukherjee, V; Pradhan, D.; Brosnahan, S.; Lubinsky, A. S.; Yeung, S.; Jour, G.; Shen, G.; Chung, M.; Khanna, K.; Ghedin, E.; Segal, L. N.
ISI:000685468900221
ISSN: 1073-449x
CID: 5230292
Sequencing identifies multiple early introductions of SARS-CoV-2 to the New York City Region
Maurano, Matthew T; Ramaswami, Sitharam; Zappile, Paul; Dimartino, Dacia; Boytard, Ludovic; Ribeiro-Dos-Santos, André M; Vulpescu, Nicholas A; Westby, Gael; Shen, Guomiao; Feng, Xiaojun; Hogan, Megan S; Ragonnet-Cronin, Manon; Geidelberg, Lily; Marier, Christian; Meyn, Peter; Zhang, Yutong; Cadley, John A; Ordoñez, Raquel; Luther, Raven; Huang, Emily; Guzman, Emily; Arguelles-Grande, Carolina; Argyropoulos, Kimon V; Black, Margaret; Serrano, Antonio; Call, Melissa E; Kim, Min Jae; Belovarac, Brendan; Gindin, Tatyana; Lytle, Andrew; Pinnell, Jared; Vougiouklakis, Theodore; Chen, John; Lin, Lawrence H; Rapkiewicz, Amy; Raabe, Vanessa; Samanovic, Marie I; Jour, George; Osman, Iman; Aguero-Rosenfeld, Maria; Mulligan, Mark J; Volz, Erik M; Cotzia, Paolo; Snuderl, Matija; Heguy, Adriana
Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epi-demiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.
PMID: 33093069
ISSN: 1549-5469
CID: 4642522
Lentigo Maligna Melanoma In-Situ with Neurotropism [Case Report]
Occidental, Michael; Shapiro, Richard; Jour, George
Perineural invasion, or neurotropism, is defined by the presence of cancer cells either within the neuronal sheath or found along the nerves. In melanoma, it is most commonly associated with invasive desmoplastic melanoma, a melanoma that is most commonly associated with malignant melanoma in situ, lentigo maligna type. Initially, perineural invasion was included in the reported Breslow thickness, however, recent data suggests that it should not be included. In this report we describe a case of malignant melanoma in-situ, lentigo maligna type, with associated neurotropism in the absence of invasive component. This article is protected by copyright. All rights reserved.
PMID: 32557727
ISSN: 1600-0560
CID: 4485292
Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples
Black, Margaret A; Shen, Guomiao; Feng, Xiaojun; Garcia Beltran, Wilfredo F; Feng, Yang; Vasudevaraja, Varshini; Allison, Douglas; Lin, Lawrence H; Gindin, Tatyana; Astudillo, Michael; Yang, Diane; Murali, Mandakolathur; Iafrate, A John; Jour, George; Cotzia, Paolo; Snuderl, Matija
OBJECTIVES/OBJECTIVE:We validate the use of a lateral flow immunoassay (LFI) intended for rapid screening and qualitative detection of anti-SARS-CoV-2 IgM and IgG in serum, plasma, and whole blood, and compare results with ELISA. We also seek to establish the value of LFI testing on blood obtained from a capillary blood sample. METHODS:Samples collected by venous blood draw and finger stick were obtained from patients with SARS-CoV-2 detected by RT-qPCR and control patients. Samples were tested with Biolidics 2019-nCoV IgG/IgM Detection Kit lateral flow immunoassay, and antibody calls were compared with ELISA. RESULTS:Biolidics LFI showed clinical sensitivity of 92% with venous blood at 7 days after PCR diagnosis of SARS-CoV-2. Test specificity was 92% for IgM and 100% for IgG. There was no significant difference in detecting IgM and IgG with Biolidics LFI and ELISA at D0 and D7 (p = 1.00), except for detection of IgM at D7 (p = 0.04). Capillary blood of SARS-CoV-2 patients showed 93% sensitivity for antibody detection. CONCLUSIONS:Clinical performance of Biolidics 2019-nCoV IgG/IgM Detection Kit is comparable to ELISA and was consistent across sample types. This provides an opportunity for decentralized rapid testing and may allow point-of-care and longitudinal self-testing for the presence of anti-SARS-CoV-2 antibodies.
PMCID:7647890
PMID: 33166549
ISSN: 1872-7905
CID: 4664872
Epithelioid Hyalinizing Sarcoma With MGA-NUTM1 Fusion
Underwood, Caroline I M; Cardona, Diana M; Bentley, Rex C; Shen, Guomiao; Feng, Xiaojun; Jour, George; Al-Rohil, Rami N
OBJECTIVES/OBJECTIVE:Soft tissue sarcomas are a group of tumors derived from the mesenchymal origin. Historically, they have been classified according to morphologic and immunohistochemical characteristics. The advent of multiplexed next-generation sequencing (NGS), specifically RNA sequencing, has modified the classification of such tumors and others by determining categorization based on molecular alterations. The NUTM1 rearrangement, previously thought to be present only in carcinomas, has recently been reported in poorly differentiated high-grade sarcomas of the soft tissue. We present the first reported case of an epithelioid hyalinizing sarcoma harboring the MGA-NUTM1 fusion in an acral site. METHODS:Histopathologic, immunohistochemical, and molecular testing were performed on resection tissue. RESULTS:Histologically, the tumor showed an epithelioid morphology with prominent background hyalinization. Immunohistochemically, the tumor expressed CD99 and nuclear NUT-1. By NGS the tumor harbors MGA-NUTM1 fusion. CONCLUSIONS:Our findings support more extensive use of NGS for accurate sarcoma classification and identification of potential therapeutic targets. Furthermore, they corroborate the fact that NUTM1-rearranged soft tissue tumors represent a spectrum of heterogeneous morphologic entities. This case also highlights the utility of NUT-1 immunohistochemical study as a possible screening tool for NUTM1-fused sarcomas.
PMID: 32880623
ISSN: 1943-7722
CID: 4588412
Anaplastic Transformation in Myxopapillary Ependymoma: A Report of 2 Cases and Review of the Literature
Gitto, Lorenzo; Serinelli, Serenella; Galbraith, Kristyn; Williams, Michael; Mirchia, Kanish; Galgano, Michael A; Krishnamurthy, Satish; de la Roza, Gustavo; Viapiano, Mariano S; Walker, Jamie M; Jour, George; Serrano, Jonathan; DeLorenzo, Michael; Snuderl, Matija; Richardson, Timothy E
Myxopapillary ependymoma (MPE) is a relatively common neoplasm arising primarily in the filum terminale/lumbosacral region of the spinal cord. It is designated as a grade I tumor in the most recent WHO Classification of Tumours of the CNS, although aggressive clinical behavior can be observed, especially in cases arising in an extradural location. Anaplastic transformation in MPE is exceedingly rare with <20 examples reported in the English literature, and consensus on diagnostic features and definitive grading remain to be determined. Here, we present 2 cases of recurrent MPE with anaplastic features, both of which had histology consistent with conventional MPE as well as areas with significant atypia, frequent mitotic figures, elevated Ki-67 proliferation indices (>10%-50%), necrosis, and focal vascular proliferation. Targeted next-generation sequencing panels revealed no definitive pathogenic mutations or fusion proteins in either case. Copy number profiling, methylation profiling, and t-Distributed Stochastic Neighbor Embedding were performed to investigate the molecular characteristics of these tumors. To the best of our knowledge, these are the first reported cases of MPE with anaplastic features with methylation profiling data. In addition, we review the literature and discuss common histologic and molecular findings associated with anaplastic features in MPE.
PMID: 32743660
ISSN: 1554-6578
CID: 4553652
Association of Initial Viral Load in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Patients with Outcome and Symptoms
Argyropoulos, Kimon V; Serrano, Antonio; Hu, Jiyuan; Black, Margaret; Feng, Xiaojun; Shen, Guomiao; Call, Melissa; Kim, Min J; Lytle, Andrew; Belovarac, Brendan; Vougiouklakis, Theodore; Lin, Lawrence H; Moran, Una; Heguy, Adriana; Troxel, Andrea; Snuderl, Matija; Osman, Iman; Cotzia, Paolo; Jour, George
The dynamics of viral load (VL) of the 2019 novel coronavirus (severe acute respiratory syndrome coronavirus 2) and its association with different clinical parameters remain poorly characterized in the US patient population. Herein, we investigate associations between VL and parameters, such as severity of symptoms, disposition (admission versus direct discharge), length of hospitalization, admission to the intensive care unit, length of need for oxygen support, and overall survival in a cohort of 205 patients from a tertiary care center in New York City. VL was determined using quantitative PCR and log10 transformed for normalization. Univariate and multivariate regression models were used to test these associations. We found that diagnostic viral load is significantly lower in hospitalized patients than in patients not hospitalized (log10 VL = 3.3 versus 4.0; P = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities. Higher VL was associated with shorter duration of the symptoms in all patients and hospitalized patients only and shorter hospital stay (coefficient = -2.02, -2.61, and -2.18; P < 0.001, P = 0.002, and P = 0.013, respectively). No significant association was noted between VL, admission to intensive care unit, length of oxygen support, and overall survival. Our findings suggest a higher shedding risk in less symptomatic patients, an important consideration for containment strategies in severe acute respiratory syndrome coronavirus 2. Furthermore, we identify a novel association between viral load and history of cancer. Larger studies are warranted to validate our findings.
PMCID:7332909
PMID: 32628931
ISSN: 1525-2191
CID: 4531612
Concurrent Identification of Novel EGFR-SEPT14 Fusion and ETV6-RET Fusion in Secretory Carcinoma of the Salivary Gland
Black, Margaret; Liu, Cheng Z; Onozato, Maristela; Iafrate, Anthony John; Darvishian, Farbod; Jour, George; Cotzia, Paolo
Salivary gland secretory carcinoma, also termed mammary analogue secretory carcinoma (MASC), is a recently described salivary gland neoplasm with characteristic histomorphologic findings similar to those of secretory carcinoma of the breast and harboring recurrent ETV6-NTRK3 fusions. Recent findings have expanded the molecular profile of salivary gland secretory carcinoma to include multiple novel ETV6 fusion partners, including RET, MET, and MAML3. Here, we report a case of cystic MASC with cribriform and papillary histology harboring two gene fusions, ETV6-RET and EGFR-SEPT14, identified by targeted RNA sequencing. The presence of the rearrangements was confirmed by FISH, RT-PCR, and Sanger sequencing. This is the first EGFR-SEPT14 fusion reported in secretory carcinoma as a single event or in association with an ETV6 rearrangement. This finding adds to the expanding molecular profile of this tumor entity, and may translate into novel treatment strategies.
PMID: 31502214
ISSN: 1936-0568
CID: 4087752