'I don't feel that we are a burden': Latinx immigrants and deservingness during the COVID-19 pandemic.

In this paper, we explore the material and symbolic effects of "deservingness projects" (Kline, 2019) for Latinx immigrants as they have played out over the COVID-19 pandemic. On a material level, exclusionary policies have exacerbated Latinx immigrants' disenfranchisement and contributed to disproportionate sickness and economic strife during the pandemic. On a symbolic level, they have contributed to subjective experiences of fear, distress, and desperation, and have eroded many immigrants' trust in institutions and support systems.

Clinical validation and utility of Percepta GSC for the evaluation of lung cancer.

The Percepta Genomic Sequencing Classifier (GSC) was developed to up-classify as well as down-classify the risk of malignancy for lung lesions when bronchoscopy is non-diagnostic. We evaluated the performance of Percepta GSC in risk re-classification of indeterminate lung lesions. This multicenter study included individuals who currently or formerly smoked undergoing bronchoscopy for suspected lung cancer from the AEGIS I/ II cohorts and the Percepta Registry.

Distinguishing Smoking-Related Lung Disease Phenotypes Via Imaging and Molecular Features.

Background: Chronic tobacco smoke exposure results in a broad range of lung pathologies including emphysema, airway disease and parenchymal fibrosis as well as a multitude of extra-pulmonary comorbidities. Prior work using CT imaging has identified several clinically relevant subgroups of smoking related lung disease, but these investigations have generally lacked organ specific molecular correlates.

Research Question: Can CT imaging be used to identify clinical phenotypes of smoking related lung disease that have specific bronchial epithelial gene expression patterns to better understand disease pathogenesis?

Study Design And Methods: Using K-means clustering, we clustered participants from the COPDGene study (n = 5,273) based on CT imaging characteristics and then evaluated their clinical phenotypes.

Technologies of the Social: Family Constellation Therapy and the Remodeling of Relational Selfhood in China and Mexico.

In this article, we investigate how an increasingly popular therapeutic modality, family constellation therapy (FCT), functions simultaneously as a technology of the self (Foucault, Technologies of the self: a seminar with Michel Foucault, University of Massachusetts Press, Amherst, 1988) as well as what we here call a "technology of the social." In FCT, the self is understood as an assemblage of ancestral relationships that often creates problems in the present day. Healing this multi-generational self involves identifying and correcting hidden family dynamics in high-intensity group sessions where other participants represent the focus client and his/her family members, both alive and deceased.

Performance of a Genomic Sequencing Classifier for the Preoperative Diagnosis of Cytologically Indeterminate Thyroid Nodules.

Importance: Use of next-generation sequencing of RNA and machine learning algorithms can classify the risk of malignancy in cytologically indeterminate thyroid nodules to limit unnecessary diagnostic surgery.

Objective: To measure the performance of a genomic sequencing classifier for cytologically indeterminate thyroid nodules.

Design, Setting, And Participants: A blinded validation study was conducted on a set of cytologically indeterminate thyroid nodules collected by fine-needle aspiration biopsy between June 2009 and December 2010 from 49 academic and community centers in the United States.

Alterations in Bronchial Airway miRNA Expression for Lung Cancer Detection.

We have previously shown that gene expression alterations in normal-appearing bronchial epithelial cells can serve as a lung cancer detection biomarker in smokers. Given that miRNAs regulate airway gene expression responses to smoking, we evaluated whether miRNA expression is also altered in the bronchial epithelium of smokers with lung cancer. Using epithelial brushings from the mainstem bronchus of patients undergoing bronchoscopy for suspected lung cancer (as part of the AEGIS-1/2 clinical trials), we profiled miRNA expression via small-RNA sequencing from 347 current and former smokers for which gene expression data were also available.

Analytical performance of a bronchial genomic classifier.

Background: The current standard practice of lung lesion diagnosis often leads to inconclusive results, requiring additional diagnostic follow up procedures that are invasive and often unnecessary due to the high benign rate in such lesions (Chest 143:e78S-e92, 2013). The Percepta bronchial genomic classifier was developed and clinically validated to provide more accurate classification of lung nodules and lesions that are inconclusive by bronchoscopy, using bronchial brushing specimens (N Engl J Med 373:243-51, 2015, BMC Med Genomics 8:18, 2015). The analytical performance of the Percepta test is reported here.

Clinical Utility of a Bronchial Genomic Classifier in Patients With Suspected Lung Cancer.

Background: Bronchoscopy is often the initial diagnostic procedure performed in patients with pulmonary lesions suggestive of lung cancer. A bronchial genomic classifier was previously validated to identify patients at low risk for lung cancer after an inconclusive bronchoscopy. In this study, we evaluated the potential of the classifier to reduce invasive procedure utilization in patients with suspected lung cancer.

A Bronchial Genomic Classifier for the Diagnostic Evaluation of Lung Cancer.

Background: Bronchoscopy is frequently nondiagnostic in patients with pulmonary lesions suspected to be lung cancer. This often results in additional invasive testing, although many lesions are benign. We sought to validate a bronchial-airway gene-expression classifier that could improve the diagnostic performance of bronchoscopy.

Derivation of a bronchial genomic classifier for lung cancer in a prospective study of patients undergoing diagnostic bronchoscopy.

Background: The gene expression profile of cytologically-normal bronchial airway epithelial cells has previously been shown to be altered in patients with lung cancer. Although bronchoscopy is often used for the diagnosis of lung cancer, its sensitivity is imperfect, especially for small and peripheral suspicious lesions. In this study, we derived a gene expression classifier from airway epithelial cells that detects the presence of cancer in current and former smokers undergoing bronchoscopy for suspect lung cancer and evaluated its sensitivity to detect lung cancer among patients from an independent cohort.

Transnational Disorders: Returned Migrants at Oaxaca's Psychiatric Hospital.

This article examines experiences of returned migrants seeking mental health care at the public psychiatric hospital in Oaxaca, Mexico. Approximately one-third of the hospital's patients have migration experience, and many return to Oaxaca due to mental health crises precipitated by conditions of structural vulnerability and "illegality" in the United States. Once home, migrants, their families, and their doctors struggle to interpret and allay these "transnational disorders"-disorders structurally produced and personally experienced within the borders of more than one country.

A microRNA expression ratio defining the invasive phenotype in bladder tumors.

Objective: The goal of this study was to identify a microRNA (miRNA) signature in bladder cancer capable of differentiating superficial from invasive disease.

Methods: Expression profiling of 343 miRNAs was performed in a microarray format using noninvasive and invasive bladder carcinoma cell lines with differential expression confirmed using a single molecule detection platform assay. miR-21 and miR-205 expression levels were determined in 53 bladder tumors (28 superficial and 25 invasive).

An electrophoretic capture method for efficient recovery of rare sequences from heterogeneous DNA.

It is difficult to isolate rare, PCR-quality DNA from specimens containing large quantities of nonspecific DNA from multiple sources (heterogeneous DNA). Extracting human DNA from stool for colorectal cancer (CRC) screening tests exemplifies this technically challenging sample preparation problem. The stool matrix is complex, the DNA composition heterogeneous, and CRC-associated mutated DNA is rare.

Distinctive patterns of microRNA expression in primary muscular disorders.

The primary muscle disorders are a diverse group of diseases caused by various defective structural proteins, abnormal signaling molecules, enzymes and proteins involved in posttranslational modifications, and other mechanisms. Although there is increasing clarification of the primary aberrant cellular processes responsible for these conditions, the decisive factors involved in the secondary pathogenic cascades are still mainly obscure. Given the emerging roles of microRNAs (miRNAs) in modulation of cellular phenotypes, we searched for miRNAs regulated during the degenerative process of muscle to gain insight into the specific regulation of genes that are disrupted in pathological muscle conditions.

Improved marker combination for detection of de novo genetic variation and aberrant DNA in colorectal neoplasia.

Background: The genetic heterogeneity of sporadic colorectal cancer (CRC) makes the choice of genetic markers and sequence variation-detection technologies critical to the performance of screening assays. We have previously described the effectiveness of a CRC assay composed of 22 known variants in KRAS, APC, TP53, and BAT-26 (V1). We introduce a new marker formulation (V2) that includes detection of de novo variation in APC, PIK3CA, and CTNNB1, hypermethylated sequences within SMARCA3 and VIM, and a single-base variation within BRAF.

DNA stabilization is critical for maximizing performance of fecal DNA-based colorectal cancer tests.

We have developed a multitarget, fecal DNA screening assay that detects the presence of gene-specific mutations and long DNA fragments associated with colorectal cancer (CRC). We continue to investigate methods that may be used to optimize clinical sensitivity. The goals of this investigation are to establish how sample handling conditions affect the stability of DNA in stool, thereby potentially limiting clinical sensitivity, and to determine conditions to ameliorate DNA degradation.

Enhanced retrieval of DNA from human fecal samples results in improved performance of colorectal cancer screening test.

Colorectal cancer accounts for more than 10% of all cancer deaths but is curable, if detected early. We reported previously on a stool-based screening test in which DNA from stool samples is subjected to genome analysis; sensitivity of the test has been limited in part by inefficiency of retrieving DNA from stool. Our aim was to test the impact of a new purification method that would increase the yield of human DNA from stool.

Multicolor in vitro translation.

In vitro translation is a widely used tool for both analytical and preparative purposes. For analytical purposes, small amounts of proteins are synthesized and visualized by detection of labeled amino acids incorporated during translation. The original strategy of incorporating radioactively labeled amino acids, such as [35S]methionine or [14C]leucine, has been superseded by the addition of antigenic tags or the incorporation of biotin-labeled or BODIPY-FL-labeled amino acids.