Characterizing the etiology of recurrent tuberculosis using whole genome sequencing-Alaska, USA, 2008-2020.

BACKGROUND: Understanding the etiology of recurrent tuberculosis (rTB) is important for effective TB control. Prior to the advent of whole genome sequencing (WGS), attributing rTB to relapse or reinfection using genetic information was complicated by the limited resolution of conventional genotyping methods. METHODS: We applied a systematic method of evaluating whole genome single nucleotide polymorphism (wgSNP) distances and results of phylogenetic analyses to characterize the etiology of rTB in American Indian and Alaska Native (AIAN) persons in Alaska during 2008-2020. We contextualized our findings through descriptive analyses of surveillance data and results of a literature search for investigations that characterized rTB etiology using WGS. RESULTS: The percentage of TB cases in AIAN persons in Alaska classified as recurrent episodes (11.8%) was three times the national percentage (3.9%). Of 38 recurrent episodes included in genetic analyses, we attributed 25 (65.8%) to reinfection based on wgSNP distances and phylogenetic analyses; this proportion was the highest among 16 published point estimates identified through the literature search. By comparison, we attributed 11 of 38 (28.9%) and 6 of 38 (15.8%) recurrent episodes to reinfection based on wgSNP distances alone and on conventional genotyping methods, respectively. CONCLUSIONS: WGS and attribution criteria involving genetic distances and patterns of relatedness can provide an effective means of elucidating rTB etiology. Our findings indicate that rTB occurs at high proportions among AIAN persons in Alaska and is frequently attributable to reinfection, reinforcing the importance of active surveillance and control measures to limit the spread of TB disease in Alaskan AIAN communities.

Early outcomes of MR-guided SBRT for patients with recurrent pancreatic adenocarcinoma.

BACKGROUND: Local treatment options for locally recurrent pancreatic adenocarcinoma (LR-PAC) are limited, with median survival time (MST) of 9-13 months (mos) following recurrence. MRI-guided stereotactic body radiation therapy (MRgSBRT) provides the ability to dose escalate while sparing normal tissue. Here we report on the early outcomes of MRgSBRT for LR-PAC. METHODS: Patients with prior resection of pancreatic adenocarcinoma with local recurrence treated with MRgSBRT at a single tertiary referral center from 5-2021 to 2-2023 were identified from our prospective database. MRgSBRT was delivered to 40-50 Gy in 4-5 fractions with target and OAR delineation per institutional standards. Endpoints included local control per RECIST v1.1, distant failure, overall survival (OS), and acute and chronic toxicities per Common Terminology Criteria for Adverse Events, v5. RESULTS: Fifteen patients with LR-PAC were identified with median follow-up of 10.6 mos (2.8-26.5 mos) from MRgSBRT. There were 8 females and 7 males, with a median age of 69 years (50-83). One patient underwent neoadjuvant radiation for 50.4 Gy in 28 fractions followed by resection, and one underwent adjuvant radiation for 45 Gy in 25 fractions prior to recurrence. MRgSBRT was delivered a median of 18.8 mos (3.5-52.8 mos) following resection. OS following recurrence at 6 and 12 mos were 87% and 51%, respectively, with a median survival time of 14.1 mos (3.2-27.4 mos). Three patients experienced local failure at 5.9, 7.8, and 16.6 months from MgSBRT with local control of 92.3% and 83.9% at 6 and 12 months. 10 patients experienced distant failure at a median of 2.9 mos (0.3-6.7 mos). Grade 1-2 acute GI toxicity was noted in 47% of patients, and chronic GI toxicity in 31% of patients. No grade > 3 toxicities were noted. CONCLUSIONS: This is the first report on toxicity and outcomes of MRgSBRT for LR-PAC in the literature. MRgSBRT is a safe, feasible treatment modality with the potential for improved local control in this vulnerable population. Future research is necessary to better identify which patients yield the most benefit from MRgSBRT, which should continue to be used with systemic therapy as tolerated. TRIAL REGISTRATION: Jefferson IRB#20976, approved 2/17/21.

Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine-learning approaches.

Background: Pyrazinamide is one of four first-line antibiotics used to treat tuberculosis; however, antibiotic susceptibility testing for pyrazinamide is challenging. Resistance to pyrazinamide is primarily driven by genetic variation in pncA, encoding an enzyme that converts pyrazinamide into its active form. Methods: We curated a dataset of 664 non-redundant, missense amino acid mutations in PncA with associated high-confidence phenotypes from published studies and then trained three different machine-learning models to predict pyrazinamide resistance. All models had access to a range of protein structural-, chemical- and sequence-based features. Results: The best model, a gradient-boosted decision tree, achieved a sensitivity of 80.2% and a specificity of 76.9% on the hold-out test dataset. The clinical performance of the models was then estimated by predicting the binary pyrazinamide resistance phenotype of 4027 samples harbouring 367 unique missense mutations in pncA derived from 24 231 clinical isolates. Conclusions: This work demonstrates how machine learning can enhance the sensitivity/specificity of pyrazinamide resistance prediction in genetics-based clinical microbiology workflows, highlights novel mutations for future biochemical investigation, and is a proof of concept for using this approach in other drugs.

Phase 1 trial of navitoclax and sorafenib in patients with relapsed or refractory solid tumors with hepatocellular carcinoma expansion cohort.

Navitoclax (ABT-263) is an oral BCL2 homology-3 mimetic that binds with high affinity to pro-survival BCL2 proteins, resulting in apoptosis. Sorafenib, an oral multi kinase inhibitor also promotes apoptosis and inhibits tumor angiogenesis. The efficacy of either agent alone is limited; however, preclinical studies demonstrate synergy with the combination of navitoclax and sorafenib. In this phase 1 study, we evaluated the combination of navitoclax and sorafenib in a dose escalation cohort of patients with refractory solid tumors, with an expansion cohort in hepatocellular carcinoma (HCC). Maximum tolerated dose (MTD) was determined using the continual reassessment method. Navitoclax and sorafenib were administered continuously on days 1 through 21 of 21-day cycles. Ten patients were enrolled in the dose escalation cohort and 15 HCC patients were enrolled in the expansion cohort. Two dose levels were tested, and the MTD was navitoclax 150 mg daily plus sorafenib 400 mg twice daily. Among all patients, the most common grade 3 toxicity was thrombocytopenia (5 patients, 20%): there were no grade 4 or 5 toxicities. Patients received a median of 2 cycles (range 1-36 cycles) and all patients were off study treatment at data cut off. Six patients in the expansion cohort had stable disease, and there were no partial or complete responses. Drug-drug interaction between navitoclax and sorafenib was not observed. The combination of navitoclax and sorafenib did not increase induction of apoptosis compared with navitoclax alone. Navitoclax plus sorafenib is tolerable but showed limited efficacy in the HCC expansion cohort. These findings do not support further development of this combination for the treatment of advanced HCC. This phase I trial was conducted under ClinicalTrials.gov registry number NCT01364051.

Feasibility of a Text Messaging-Integrated and Chatbot-Interfaced Self-Management Program for Symptom Control in Patients With Gastrointestinal Cancer Undergoing Chemotherapy: Pilot Mixed Methods Study.

BACKGROUND: Outpatient chemotherapy often leaves patients to grapple with a range of complex side effects at home. Leveraging tailored evidence-based content to monitor and manage these symptoms remains an untapped potential among patients with gastrointestinal (GI) cancer. OBJECTIVE: This study aims to bridge the gap in outpatient chemotherapy care by integrating a cutting-edge text messaging system with a chatbot interface. This approach seeks to enable real-time monitoring and proactive management of side effects in patients with GI cancer undergoing intravenous chemotherapy. METHODS: Real-Time Chemotherapy-Associated Side Effects Monitoring Supportive System (RT-CAMSS) was developed iteratively, incorporating patient-centered inputs and evidence-based information. It synthesizes chemotherapy knowledge, self-care symptom management skills, emotional support, and healthy lifestyle recommendations. In a single-arm 2-month pilot study, patients with GI cancer undergoing chemotherapy received tailored intervention messages thrice a week and a weekly Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events-based symptom assessment via a chatbot interface. Baseline and postintervention patient surveys and interviews were conducted. RESULTS: Out of 45 eligible patients, 34 were enrolled (76% consent rate). The mean age was 61 (SD 12) years, with 19 (56%) being females and 21 (62%) non-Hispanic White. The most common cancer type was pancreatic (n=18, 53%), followed by colon (n=12, 35%) and stomach (n=4, 12%). In total, 27 (79% retention rate) participants completed the postintervention follow-up. In total, 20 patients texted back at least once to seek additional information, with the keyword "chemo" or "support" texted the most. Among those who used the chatbot system checker, fatigue emerged as the most frequently reported symptom (n=15), followed by neuropathy (n=7). Adjusted for multiple comparisons, patients engaging with the platform exhibited significantly improved Patient Activation Measure (3.70, 95% CI -6.919 to -0.499; P=.02). Postintervention interviews and satisfaction surveys revealed that participants found the intervention was user-friendly and were provided with valuable information. CONCLUSIONS: Capitalizing on mobile technology communication holds tremendous scalability for enhancing health care services. This study presents initial evidence of the engagement and acceptability of RT-CAMSS, warranting further evaluation in a controlled clinical trial setting.

Repurposing the FDA-approved anthelmintic pyrvinium pamoate for pancreatic cancer treatment: study protocol for a phase I clinical trial in early-stage pancreatic ductal adenocarcinoma.

BACKGROUND: Recent reports of the utilisation of pyrvinium pamoate (PP), an FDA-approved anti-helminth, have shown that it inhibits pancreatic ductal adenocarcinoma (PDAC) cell growth and proliferation in-vitro and in-vivo in preclinical models. Here, we report about an ongoing phase I open-label, single-arm, dose escalation clinical trial to determine the safety and tolerability of PP in PDAC surgical candidates. METHODS AND ANALYSIS: In a 3+3 dose design, PP is initiated 3 days prior to surgery. The first three patients will be treated with the initial dose of PP at 5 mg/kg orally for 3 days prior to surgery. Dose doubling will be continued to a reach a maximum of 20 mg/kg orally for 3 days, if the previous two dosages (5 mg/kg and 10 mg/kg) were tolerated. Dose-limiting toxicity grade≥3 is used as the primary endpoint. The pharmacokinetic and pharmacodynamic (PK/PD) profile of PP and bioavailability in humans will be used as the secondary objective. Each participant will be monitored weekly for a total of 30 days from the final dose of PP for any side effects. The purpose of this clinical trial is to examine whether PP is safe and tolerable in patients with pancreatic cancer, as well as assess the drug's PK/PD profile in plasma and fatty tissue. Potential implications include the utilisation of PP in a synergistic manner with chemotherapeutics for the treatment of pancreatic cancer. ETHICS AND DISSEMINATION: This study was approved by the Thomas Jefferson Institutional Review Board. The protocol number for this study is 20F.041 (Version 3.1 as of 27 October 2021). The data collected and analysed from this study will be used to present at local and national conferences, as well as, written into peer-reviewed manuscript publications. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov: NCT05055323.

Genomic characterization of early-stage hepatocellular carcinoma patients with Hepatitis B using circulating tumor DNA.

BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of mortality, with Hepatitis B virus (HBV) infection as a dominant etiology worldwide. Effective early detection strategies may facilitate curative therapies and improve survival. We investigated genomic aberrations in circulating tumor DNA (ctDNA) as potential diagnostic markers of HCC in HBV-infected patients. METHODS: We identified early stage (BCLC 0-A) HCC cases (n = 21) and patients without HCC (n = 14) from a cohort of Asian patients with HBV, undergoing surveillance between 2013 and 2017. Circulating cell-free DNA was isolated from blood samples, and assayed by next-generation sequencing of 23 genes implicated in HCC pathogenesis. Somatic mutations were identified using a computational pipeline. Using area under the curve (AUC) in receiver operating characteristic (ROC) analysis, we evaluated gene alterations and clinical factors in an exploratory early HCC detection model. RESULTS: Mutant ARID1A, CTNNB1, TP53 genes were increased in HCC cases vs. non-HCC patients (85.7% vs 42.9%, P = 0.011; 42.9% vs 0%, P = 0.005; 100% vs 71.4%, P = 0.019, respectively). Using these three genes, AUC for discriminating HCC from non-HCC patients was 0.844 (95% confidence interval [CI]: 0.7317-0.9553). When combining these genes with clinical factors in an exploratory early HCC detection model, AUC increased from 0.7415 (using clinical factors alone) to 0.9354 (P = 0.041). CONCLUSION: Genomic aberrations in ctDNA were more prevalent in HBV-infected HCC patients compared with patients without HCC. Combining these alterations with clinical factors may identify HCC in HBV-infected patients at an early stage. These findings warrant validation in future studies.

Molecular surveillance for large outbreaks of tuberculosis in the United States, 2014-2018.

OBJECTIVE: This study describes characteristics of large tuberculosis (TB) outbreaks in the United States detected using novel molecular surveillance methods during 2014-2016 and followed for 2 years through 2018. METHODS: We developed 4 genotype-based detection algorithms to identify large TB outbreaks of ≥10 cases related by recent transmission during a 3-year period. We used whole-genome sequencing and epidemiologic data to assess evidence of recent transmission among cases. RESULTS: There were 24 large outbreaks involving 518 cases; patients were primarily U.S.-born (85.1%) racial/ethnic minorities (84.1%). Compared with all other TB patients, patients associated with large outbreaks were more likely to report substance use, homelessness, and having been diagnosed while incarcerated. Most large outbreaks primarily occurred within residences among families and nonfamilial social contacts. A source case with a prolonged infectious period and difficulties in eliciting contacts were commonly reported contributors to transmission. CONCLUSION: Large outbreak surveillance can inform targeted interventions to decrease outbreak-associated TB morbidity.

Discovery of substituted benzyloxy-benzylamine inhibitors of acetyltransferase Eis and their anti-mycobacterial activity.

A clinically significant mechanism of tuberculosis resistance to the aminoglycoside kanamycin (KAN) is its acetylation catalyzed by upregulated Mycobacterium tuberculosis (Mtb) acetyltransferase Eis. In search for inhibitors of Eis, we discovered an inhibitor with a substituted benzyloxy-benzylamine scaffold. A structure-activity relationship study of 38 compounds in this structural family yielded highly potent (IC50 ∼ 1 µM) Eis inhibitors, which did not inhibit other acetyltransferases. Crystal structures of Eis in complexes with three of the inhibitors showed that the inhibitors were bound in the aminoglycoside binding site of Eis, consistent with the competitive mode of inhibition, as established by kinetics measurements. When tested in Mtb cultures, two inhibitors (47 and 55) completely abolished resistance to KAN of the highly KAN-resistant strain Mtb mc2 6230 K204, likely due to Eis inhibition as a major mechanism. Thirteen of the compounds were toxic even in the absence of KAN to Mtb and other mycobacteria, but not to non-mycobacteria or to mammalian cells. This, yet unidentified mechanism of toxicity, distinct from Eis inhibition, will merit future studies along with further development of these molecules as anti-mycobacterial agents.

The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: A genotypic analysis.

Background: Molecular diagnostics are considered the most promising route to achieving rapid, universal drug susceptibility testing for Mycobacterium tuberculosiscomplex (MTBC). We aimed to generate a WHO endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: A candidate gene approach was used to identify mutations as associated with resistance, or consistent with susceptibility, for 13 WHO endorsed anti-tuberculosis drugs. 38,215 MTBC isolates with paired whole-genome sequencing and phenotypic drug susceptibility testing data were amassed from 45 countries. For each mutation, a contingency table of binary phenotypes and presence or absence of the mutation computed positive predictive value, and Fisher's exact tests generated odds ratios and Benjamini-Hochberg corrected p-values. Mutations were graded as Associated with Resistance if present in at least 5 isolates, if the odds ratio was >1 with a statistically significant corrected p-value, and if the lower bound of the 95% confidence interval on the positive predictive value for phenotypic resistance was >25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: 15,667 associations were computed for 13,211 unique mutations linked to one or more drugs. 1,149/15,667 (7·3%) mutations were classified as associated with phenotypic resistance and 107/15,667 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was >80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were classified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: This first WHO endorsed catalogue of molecular targets for MTBC drug susceptibility testing provides a global standard for resistance interpretation. Its existence should encourage the implementation of molecular diagnostics by National Tuberculosis Programmes. Funding: UNITAID, Wellcome, MRC, BMGF.

Structure-based design of haloperidol analogues as inhibitors of acetyltransferase Eis from Mycobacterium tuberculosis to overcome kanamycin resistance.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), is a deadly bacterial disease. Drug-resistant strains of Mtb make eradication of TB a daunting task. Overexpression of the enhanced intracellular survival (Eis) protein by Mtb confers resistance to the second-line antibiotic kanamycin (KAN). Eis is an acetyltransferase that acetylates KAN, inactivating its antimicrobial function. Development of Eis inhibitors as KAN adjuvant therapeutics is an attractive path to forestall and overcome KAN resistance. We discovered that an antipsychotic drug, haloperidol (HPD, 1), was a potent Eis inhibitor with IC50 = 0.39 ± 0.08 µM. We determined the crystal structure of the Eis-haloperidol (1) complex, which guided synthesis of 34 analogues. The structure-activity relationship study showed that in addition to haloperidol (1), eight analogues, some of which were smaller than 1, potently inhibited Eis (IC50 ≤ 1 µM). Crystal structures of Eis in complexes with three potent analogues and droperidol (DPD), an antiemetic and antipsychotic, were determined. Three compounds partially restored KAN sensitivity of a KAN-resistant Mtb strain K204 overexpressing Eis. The Eis inhibitors generally did not exhibit cytotoxicity against mammalian cells. All tested compounds were modestly metabolically stable in human liver microsomes, exhibiting 30-60% metabolism over the course of the assay. While direct repurposing of haloperidol as an anti-TB agent is unlikely due to its neurotoxicity, this study reveals potential approaches to modifying this chemical scaffold to minimize toxicity and improve metabolic stability, while preserving potent Eis inhibition.

Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases.

Understanding tuberculosis (TB) transmission chains can help public health staff target their resources to prevent further transmission, but currently there are few tools to automate this process. We have developed the Logically Inferred Tuberculosis Transmission (LITT) algorithm to systematize the integration and analysis of whole-genome sequencing, clinical, and epidemiological data. Based on the work typically performed by hand during a cluster investigation, LITT identifies and ranks potential source cases for each case in a TB cluster. We evaluated LITT using a diverse dataset of 534 cases in 56 clusters (size range: 2-69 cases), which were investigated locally in three different U.S. jurisdictions. Investigators and LITT agreed on the most likely source case for 145 (80%) of 181 cases. By reviewing discrepancies, we found that many of the remaining differences resulted from errors in the dataset used for the LITT algorithm. In addition, we developed a graphical user interface, user's manual, and training resources to improve LITT accessibility for frontline staff. While LITT cannot replace thorough field investigation, the algorithm can help investigators systematically analyze and interpret complex data over the course of a TB cluster investigation. Code available at: https://github.com/CDCgov/TB_molecular_epidemiology/tree/1.0; https://zenodo.org/badge/latestdoi/166261171.

Optimising pyrazinamide for the treatment of tuberculosis.

Pyrazinamide is a potent sterilising agent that shortens the treatment duration needed to cure tuberculosis. It is synergistic with novel and existing drugs for tuberculosis. The dose of pyrazinamide that optimises efficacy while remaining safe is uncertain, as is its potential role in shortening treatment duration further.Pharmacokinetic data, sputum culture, and safety laboratory results were compiled from Tuberculosis Trials Consortium (TBTC) studies 27 and 28 and Pan-African Consortium for the Evaluation of Antituberculosis Antibiotics (PanACEA) multi-arm multi-stage tuberculosis (MAMS-TB), multi-centre phase 2 trials in which participants received rifampicin (range 10-35 mg·kg-1), pyrazinamide (range 20-30 mg·kg-1), plus two companion drugs. Pyrazinamide pharmacokinetic-pharmacodynamic (PK-PD) and pharmacokinetic-toxicity analyses were performed.In TBTC studies (n=77), higher pyrazinamide maximum concentration (Cmax) was associated with shorter time to culture conversion (TTCC) and higher probability of 2-month culture conversion (p-value<0.001). Parametric survival analyses showed that relationships varied geographically, with steeper PK-PD relationships seen among non-African than African participants. In PanACEA MAMS-TB (n=363), TTCC decreased as pyrazinamide Cmax increased and varied by rifampicin area under the curve (p-value<0.01). Modelling and simulation suggested that very high doses of pyrazinamide (>4500 mg) or increasing both pyrazinamide and rifampicin would be required to reach targets associated with treatment shortening. Combining all trials, liver toxicity was rare (3.9% with grade 3 or higher liver function tests (LFT)), and no relationship was seen between pyrazinamide Cmax and LFT levels.Pyrazinamide's microbiological efficacy increases with increasing drug concentrations. Optimising pyrazinamide alone, though, is unlikely to be sufficient to allow tuberculosis treatment shortening; rather, rifampicin dose would need to be increased in parallel.

Multi-agent neoadjuvant chemotherapy improves survival in early-stage pancreatic cancer: A National Cancer Database analysis.

PURPOSE: To compare overall survival (OS) in patients who underwent surgery for early-stage pancreatic adenocarcinoma (rPca) based on sequence (NAT, neoadjuvant therapy and/or AT, adjuvant therapy) and type (SA, single-agent or MA, multi-agent) of chemotherapy received. METHODS: Using the National Cancer Database, patients with clinical stage I/II rPca diagnosed between 2010 and 2014 were identified and five comparison matches (1: NAT vs. upfront resection (UR); 2: multi-agent neoadjuvant (MA NAT) vs. single-agent adjuvant therapy (SA AT), single-agent neoadjuvant therapy (SA NAT), multi-agent adjuvant therapy (MA AT); 3: MA NAT vs. MA AT; 4: NAT + AT vs NAT; 5: NAT + AT vs AT) were constructed using minimum distance matching strategy. Median OS (mOS) was analysed using Kaplan-Meier method, log-rank test and Cox proportional hazard model. RESULTS: A total of 18,470 patients with stage I/II rPca were eligible for analysis. NAT showed a 5 month (mo.) improved OS compared with UR (3271 patients/group, 28.1 vs 23.2 mo. P < 0.0001 hazard ratio [HR]: 0.79). MA-NAT was shown to be superior to other chemotherapy approaches SA AT, SA NAT, and MA AT (1349 patients/group: 30 vs. 25.9 mo., P = 0.0001 [HR: 0.82]). MA NAT showed a survival advantage over MA-AT (1349 patients/group, 30 vs 26.1 mo., P = 0.0008 [HR: 0.86]). The combination of NAT and AT showed a better outcome when compared with NAT alone (1128 patients/group, 31.6 vs 27.4 mo., P = 0.0011 [HR: 0.81]) or AT alone (1128 patients/group, 31.6 vs. 25.2 mo., P < 0.0001 [HR: 0.76]). CONCLUSIONS: In patients with stage I/II rPca, MA NAT showed improved mOS compared to UR and all other chemotherapy sequences except both NAT plus AT. These findings support the use of MA NAT in stage I/II rPca patients and warrant prospective trials evaluating MA NAT and post-resection maintenance therapies.

Racial Disparities in Rates of Surgery for Esophageal Cancer: a Study from the National Cancer Database.

BACKGROUND: Treatment guidelines for stage I-III esophageal cancer indicate that management should include surgery in appropriate patients. Variations in utilization of surgery may contribute to racial differences observed in survival. We sought to identify factors associated with racial disparities in surgical resection of esophageal cancer and evaluate associated survival differences. METHODS: Patients diagnosed with stage I-III esophageal cancer from 2004 to 2015 were identified using the National Cancer Database. Matched patient cohorts were created to reduce confounding. Multivariate logistic regression was used to identify factors associated with receipt of surgery. Multi-level modeling was performed to control for random effects of individual hospitals on surgical utilization. RESULTS: A total of 60,041 patients were included (4402 black; 55,639 white). After 1:1 matching, there were 5858 patients evenly distributed across race. For all stages, significantly fewer black than white patients received surgery. Black race independently conferred lower likelihood of receiving surgery in single-level multivariable analysis (OR (95% CI); stage I, 0.67 (0.48-0.94); stage II, 0.76 (0.60-0.96); stage III, 0.62 (0.50-0.76)) and after controlling for hospital random effects. Hospital-level random effects accounted for one third of the unexplained variance in receipt of surgery. Risk-adjusted 1-, 3-, and 5-year mortality was higher for patients who did not undergo surgery. CONCLUSION: Black patients with esophageal cancer are at higher risk of mortality compared to white patients. This increased risk may be influenced by decreased likelihood of receiving surgical intervention for resectable disease, in part because of between-hospital differences. Improving access to surgical care may improve disparities in esophageal cancer survival.

Mutation of Mycobacterium tuberculosis and Implications for Using Whole-Genome Sequencing for Investigating Recent Tuberculosis Transmission.

Tuberculosis (TB) control programs use whole-genome sequencing (WGS) of Mycobacterium tuberculosis (Mtb) for detecting and investigating TB case clusters. Existence of few genomic differences between Mtb isolates might indicate TB cases are the result of recent transmission. However, the variable and sometimes long duration of latent infection, combined with uncertainty in the Mtb mutation rate during latency, can complicate interpretation of WGS results. To estimate the association between infection duration and single nucleotide polymorphism (SNP) accumulation in the Mtb genome, we first analyzed pairwise SNP differences among TB cases from Los Angeles County, California, with strong epidemiologic links. We found that SNP distance alone was insufficient for concluding that cases are linked through recent transmission. Second, we describe a well-characterized cluster of TB cases in California to illustrate the role of genomic data in conclusions regarding recent transmission. Longer presumed latent periods were inconsistently associated with larger SNP differences. Our analyses suggest that WGS alone cannot be used to definitively determine that a case is attributable to recent transmission. Methods for integrating clinical, epidemiologic, and genomic data can guide conclusions regarding the likelihood of recent transmission, providing local public health practitioners with better tools for monitoring and investigating TB transmission.

Molecular Evaluation of Fluoroquinolone Resistance in Serial Mycobacterium tuberculosis Isolates from Individuals Diagnosed with Multidrug-Resistant Tuberculosis.

Fluoroquinolones (FQ) are crucial components of multidrug-resistant tuberculosis (MDR TB) treatment. Differing levels of resistance are associated with specific mutations within the quinolone-resistance-determining region (QRDR) of gyrA We sequenced the QRDR from serial isolates of MDR TB patients in the Preserving Effective TB Treatment Study (PETTS) with baseline FQ resistance (FQR) or acquired FQ resistance (FQACQR) using an Ion Torrent Personal Genome Machine (PGM) to a depth of 10,000× and reported single nucleotide polymorphisms in ≥1% of reads. FQR isolates harbored 15 distinct alleles with 1.3 (maximum = 6) on average per isolate. Eighteen alleles were identified in FQACQR isolates with an average of 1.6 (maximum = 9) per isolate. Isolates from 78% of FQACQR individuals had mutant alleles identified within 6 months of treatment initiation. Asp94Gly was the predominant allele in the initial FQ-resistant isolates followed by Ala90Val. Seventy-seven percent (36/47) of FQACQR group patients had isolates with FQ resistance alleles prior to changes to the FQ component of their treatment. Unlike the individuals treated initially with other FQs, none of the 21 individuals treated initially with levofloxacin developed genotypic or phenotypic FQ resistance, although country of residence was likely a contributing factor since 69% of these individuals were from a single country. Initial detection of phenotypic resistance and genotypic resistance occurred simultaneously for most; however, phenotypic resistance occurred earlier in isolates harboring mixtures of alleles of very low abundance (<1% of reads), whereas genotypic resistance often occurred earlier for alleles associated with low-level resistance. Understanding factors influencing acquisition and evolution of FQ resistance could reveal strategies for improved treatment success.

A step towards personalizing next line therapy for resected pancreatic and related cancer patients: A single institution's experience.

BACKGROUND: There is a lack of precision medicine in pancreatic ductal adenocarcinoma (PDA) and related cancers, and outcomes for patients with this diagnosis remain poor despite decades of research investigating this disease. Therefore, it is necessary to explore novel therapeutic options for these patients who may benefit from personalized therapies. OBJECTIVE: Molecular profiling of hepatopancreaticobiliary malignancies at our institution, including but not limited to PDA, was initiated to assess the feasibility of incorporating molecular profiling results into patient oncological therapy planning. METHODS: All eligible patients from Thomas Jefferson University (TJU) with hepatopancreaticobiliary tumors including PDA, who agreed to molecular testing profiling, were prospectively enrolled in a registry study from December 2014 to September 2017 and their tumor samples were tested to identify molecular markers that can be used to guide therapy options in the future. Next generation sequencing (NGS) and protein expression in tumor samples were tested at CLIA-certified laboratories. Prospective clinicopathologic data were extracted from medical records and compiled in a de-identified fashion. RESULTS: Seventy eight (78) patients were enrolled in the study, which included 65/78 patients with PDA (local and metastatic) and out of that subset, 52/65 patients had surgically resected PDA. Therapy recommendations were generated based on molecular and clinicopathologic data for all enrolled patients. NGS uncovered actionable alterations in 25/52 surgically resected PDAs (48%) which could be used to guide therapy options in the future. High expression of three proteins, TS (p = 0.005), ERCC1 (p = 0.001), and PD-1 (p = 0.04), was associated with reduced recurrence-free survival (RFS), while TP53 mutations were correlated with longer RFS (p = 0.01). CONCLUSIONS: The goal of this study was to implement a stepwise strategy to identify and profile resected PDAs at our institution. Consistent with previous studies, approximately half of patients with resected PDA harbor actionable mutations with possible targeted therapeutic implications. Ongoing studies will determine the clinical value of identifying these mutations in patients with resected PDA.

Second-line treatment for metastatic pancreatic cancer.

Pancreatic cancer is the fourth-leading cause of cancer-related death. It is commonly diagnosed at an advanced stage, when no curative options exist. Over the last decade, combination chemotherapy has shown a survival benefit compared with single-agent gemcitabine and has become established as first-line therapy in metastatic pancreatic cancer. The choice of frontline regimen, which is based on clinical factors, plays an important role in subsequent management. Limited second-line standard therapeutic options are available. Studies have not definitively established that chemotherapy with a fluoropyramidine (5-fluorouracil or capecitabine), gemcitabine, oxaliplatin, irinotecan, or a combination of oxaliplatin and irinotecan improves patient survival after the failure of first-line chemotherapy. Nanoliposomal irinotecan has been approved for use in patients who have progressive disease while on gemcitabine-based treatment. Although combination chemotherapy is associated with a modest survival benefit, this comes at the expense of increased toxicity and costs. Furthermore, the optimal sequencing of these agents in subsequent lines of treatment is unknown. Randomized controlled trials provide little evidence of greater benefit from second-line therapy compared with best supportive care alone. Therefore, treatment decisions should be patient-centered and based on functional status, medical comorbidities, and anticipated adverse effects. The clinical context and prior treatment-related toxicities have a significant influence on the choice of optimal salvage treatment. We review the published data focused on second-line treatment for advanced pancreatic cancer.

Structure-Guided Optimization of Inhibitors of Acetyltransferase Eis from Mycobacterium tuberculosis.

The enhanced intracellular survival (Eis) protein of Mycobacterium tuberculosis (Mtb) is a versatile acetyltransferase that multiacetylates aminoglycoside antibiotics abolishing their binding to the bacterial ribosome. When overexpressed as a result of promoter mutations, Eis causes drug resistance. In an attempt to overcome the Eis-mediated kanamycin resistance of Mtb, we designed and optimized structurally unique thieno[2,3-d]pyrimidine Eis inhibitors toward effective kanamycin adjuvant combination therapy. We obtained 12 crystal structures of enzyme-inhibitor complexes, which guided our rational structure-based design of 72 thieno[2,3-d]pyrimidine analogues divided into three families. We evaluated the potency of these inhibitors in vitro as well as their ability to restore the activity of kanamycin in a resistant strain of Mtb, in which Eis was upregulated. Furthermore, we evaluated the metabolic stability of 11 compounds in vitro. This study showcases how structural information can guide Eis inhibitor design.