Blood-based Migration Signature Biomarker Panel Discriminates Early Stage New Onset Diabetes related Pancreatic Ductal Adenocarcinoma from Type 2 Diabetes.

BACKGROUND AND AIMS: While type 2 diabetes is a well-known risk factor for pancreatic ductal adenocarcinoma (PDAC), PDAC-induced new-onset diabetes (PDAC-NOD) is a manifestation of underlying PDAC. In this study, we sought to identify potential blood-based biomarkers for distinguishing PDAC-NOD from type 2 diabetes (T2DM) without PDAC. MATERIALS AND METHODS: By ELISA analysis, a migration signature biomarker panel comprising tissue factor pathway inhibitor (TFPI), tenascin C (TNC-FNIII-C) and CA 19-9 was analyzed in plasma samples from 50 PDAC-NOD and 50 T2DM controls. RESULTS: Both TFPI (area under the curve (AUC) 0.71) and TNC-FNIII-C (AUC 0.69) outperformed CA 19-9 (AUC 0.60) in distinguishing all stages of PDAC-NOD from T2DM controls. The combined panel showed an AUC of 0.82 (95% CI = 0.73-0.90) (p = 0.002). In the PDAC-NOD early stage II samples, the three biomarkers had an AUC of 0.84 (95% CI = 0.73-0.93) vs CA 19-9, AUC = 0.60, (95% CI = 0.45-0.73), which also improved significance (p = 0.0123). CONCLUSION: The migration signature panel adds significantly to CA 19-9 to discriminate PDAC-NOD from T2DM controls and warrants further validation for high-risk group stratification.

Attitudes of Palliative Care Specialists Toward Assessing Sexual Dysfunction in Patients With Cancer.

CONTEXT: The sexual health of patients is frequently neglected. OBJECTIVES: To evaluate the attitudes and beliefs of palliative care providers toward discussing the presence of sexual dysfunction (SD) in patients with cancer METHODS: In this pilot study, an anonymous survey was conducted among palliative care professionals about their attitudes toward discussing SD RESULTS: Forty-nine (89%) palliative care providers completed the survey. Thirty-four (69%) responded that they rarely or never discussed sexuality with their patients and most believed it is the oncologist's responsibility. The top reasons for not discussing SD were that the patient did not raise the issue, lack of time and the presence of a third party. The majority acknowledged the need of more training and that printed materials would be helpful. CONCLUSION: Palliative care providers infrequently address the presence of SD among patients with cancer. Additional training and routine screening for SD might help addressing this problem.

Health Care Provider Attitudes and Beliefs Toward Nonmedical Opioid Use in Patients with Cancer Pain.

Background: Data on health care providers' (HCPs') perceptions about patients with cancer pain and nonmedical opioid use (NMOU) are lacking. We examined the perceptions and attitudes of HCPs and assessed the usefulness of an interdisciplinary opioid stewardship program (OSP) while caring for these patients. Methods: An anonymous cross-sectional survey was conducted among the supportive care HCPs between September and November 2021. Results: Of 85 HCPs, 64 responded (75%) to the survey. Participants perceived that NMOU is underdiagnosed (42/64; 67%), and caring for such patients is difficult (58/64, 91%) and time consuming (54/64, 87%). A majority (50/51, 98%) were aware of the OSP, and (48/51; 94%) found it helpful. Conclusion: HCPs reported that NMOU is underdiagnosed and is challenging to manage. They endorsed the utility of an OSP in managing patients with concurrent cancer pain and NMOU. Future research should identify ways to standardize care and integrate OSP in routine supportive oncology practice.

Hybrid Work from Home Clinical Academic Environment: A One-Year Follow-Up Survey of Attitudes and Beliefs of Members of a Department of Palliative Care, Rehabilitation, and Integrative Medicine.

Context: Palliative, Rehabilitation, and Integrative Medicine (PRIM) department members anonymously reported a positive experience with work from home (WFH) two months after its rapid pandemic transition in March 2020. Data are limited on the stability of such preferences and experiences over time. Objectives: The objectives of this study were to survey the attitudes and beliefs of PRIM employees toward remote work 16 months after the start of the coronavirus disease 2019 (COVID-19) pandemic since vaccines and to determine changes in perceptions of WFH. Methods: All 138 PRIM employees were invited to participate in an anonymous survey from mid-July to mid-August 2021. The 30-question survey included demographics, perceptions toward WFH, and the pandemic. Results: One hundred fifteen (83%) employees completed the survey: 29 (74%) research, 62 (83%) clinicians, and 24 (100%) administrative personnel. Most were female (76%), 30-59 years old (88%), PRIM employees before May 2020 (89%), shared office space (52%), and had received either first or second dose of the COVID-19 vaccine (88%). Overall experience (86%) and emotional response (74%) with WFH were positive and not significantly different from 2020 (p = 0.128 and 0.782, respectively). Positive experience was associated with having adequate equipment (p = 0.002), perception of productivity (p = 0.002), financial advantage (p = 0.002), and time demands caring for dependents (p = 0.038). Clinicians reported less positive response (78%, p = 0.002) and less productivity (49%, p = 0.002) with WFH and higher level of stress (54%, p = 0.026) since COVID-19. Employees continued to support WFH permanently (79%) for two or more days/week (82%). There was continued increased emotional exhaustion (71%) similar to 2020 (p = 0.868), and being asked to work partially or completely from home permanently was favored by 64% versus 97% and 96% of clinicians, research, and administrative, respectively (p = 0.002). Conclusions: Support for WFH was sustained a year later and after three pandemic waves. These findings serve as a model for future rapid work transitions and can help elucidate factors associated with stress and emotional exhaustion in a new post-COVID-19 work environment.

Glycopeptides with Sialyl Lewis Antigen in Serum Haptoglobin as Candidate Biomarkers for Nonalcoholic Steatohepatitis Hepatocellular Carcinoma Using a Higher-Energy Collision-Induced Dissociation Parallel Reaction Monitoring-Mass Spectrometry Method.

Nonalcoholic steatohepatitis (NASH) is the fastest growing cause of hepatocellular carcinoma (HCC) in the United States. Changes in N-glycosylation on specific glycosites of serum proteins have been investigated as potential markers for the early detection of NASH-related HCC. Herein, we report a glycopeptide with a Sialyl Lewis structure derived from serum haptoglobin (Hp) as a potential marker for NASH related HCCs among 95 patients with NASH, including 46 cirrhosis, 32 early-stage HCC, and 17 late-stage HCC. Hp immuno-isolated from patient serum was analyzed using LC-HCD-PRM-MS/MS followed by data analysis via Skyline software. Two glycopeptides involving site N184 and four glycopeptides involving site N241 were significantly changed in patients with HCC vs NASH cirrhosis (P < 0.05). The two-marker panel using N-glycopeptide N241_A4G4F2S4 showed the best performance for HCC detection when combined with α-fetoprotein (AFP), with an improved estimated area under the curve (AUC) = 0.898 (95% CI: 0.835, 0.951), compared to the AUC of 0.790(95% CI, 0.697 0.872) using AFP alone (P = 0.048). At 90% specificity, the combination of N241_A4G4F2S4 + AFP had an improved sensitivity of 63.3%, compared to the sensitivity of 52.3% using AFP alone. When using three markers, the panel of AFP + N241_A2G2F1S2 + N241_A4G4F2S4 yielded an estimated AUC of 0.928 (95% CI: 0.877, 0.970). Our findings indicated that N241_A4G4F2S4 may play an important role in distinguishing HCC from NASH cirrhosis.

Effect of diabetes medications and glycemic control on risk of hepatocellular cancer in patients with nonalcoholic fatty liver disease.

BACKGROUND AND AIMS: In patients with NAFLD, those with type 2 diabetes mellitus (DM) have a high risk of progression to HCC. However, the determinants of HCC risk in these patients remain unclear. APPROACH AND RESULTS: We assembled a retrospective cohort of patients with NAFLD and DM diagnosed at 130 facilities in the Veterans Administration between 1/1/2004 and 12/31/2008. We followed patients from the date of NAFLD diagnosis to HCC, death, or 12/31/2018. We used landmark Cox proportional hazards models to determine the effects of anti-DM medications (metformin, insulin, sulfonylureas) and glycemic control (percent of follow-up time with hemoglobin A1c < 7%) on the risk of HCC while adjusting for demographics and other metabolic traits (hypertension, obesity, dyslipidemia). We identified 85,963 patients with NAFLD and DM. In total, 524 patients developed HCC during a mean of 10.3 years of follow-up. Most common treatments were metformin monotherapy (19.7%), metformin-sulfonylureas (19.6%), insulin (9.3%), and sulfonylureas monotherapy (13.6%). Compared with no medication, metformin was associated with 20% lower risk of HCC (HR, 0.80; 95% CI, 0.93-0.98). Insulin had no effect on HCC risk (HR, 1.02; 95% CI, 0.85-1.22; p = 0.85). Insulin in combination with other oral medications was associated with a 1.6 to 1.7-fold higher risk of HCC. Adequate glycemic control was associated with a 31% lower risk of HCC (HR, 0.69; 95% CI, 0.62-0.78). CONCLUSIONS: In this large cohort of patients with NAFLD and DM, use of metformin was associated with a reduced risk of HCC, whereas use of combination therapy was associated with increased risk. Glycemic control can serve as a biomarker for HCC risk stratification in patients with NAFLD and diabetes.

PRM-MS Quantitative Analysis of Isomeric N-Glycopeptides Derived from Human Serum Haptoglobin of Patients with Cirrhosis and Hepatocellular Carcinoma.

Currently, surveillance strategies have inadequate performance for cirrhosis and early detection of hepatocellular carcinoma (HCC). The glycosylation of serum haptoglobin has shown to have significant differences between cirrhosis and HCC, thus can be used for diagnosis. We performed a comprehensive liquid chromatography-parallel reaction monitoring-mass spectrometry (LC-PRM-MS) approach, where a targeted parallel reaction monitoring (PRM) strategy was coupled to a powerful LC system, to study the site-specific isomerism of haptoglobin (Hp) extracted from cirrhosis and HCC patients. We found that our strategy was able to identify a large number of isomeric N-glycopeptides, mainly located in the Hp glycosylation site Asn207. Four N-glycopeptides were found to have significant changes in abundance between cirrhosis and HCC samples (p < 0.05). Strategic combinations of the significant N-glycopeptides, either with alpha-fetoprotein (AFP) or themselves, better estimate the areas under the curve (AUC) of their respective receiver operating characteristic (ROC) curves with respect to AFP. The combination of AFP with the isomeric sialylated fucosylated N-glycopeptides Asn207 + 5-6-1-2 and Asn207 + 5-6-1-3, resulted with an AUC value of 0.98, while the AUC value for AFP alone was 0.85. When comparing cirrhosis vs. early HCC, the isomeric N-glycopeptide Asn207 + 5-6-0-1 better estimated AUC with respect to AFP (AUCAFP = 0.81, and AUCAsn207 + 5-6-0-1 = 0.88, respectively).

Effect of Metabolic Traits on the Risk of Cirrhosis and Hepatocellular Cancer in Nonalcoholic Fatty Liver Disease.

BACKGROUND AND AIMS: Nonalcoholic fatty liver disease (NAFLD) is now the most common liver condition. Predicting its progression could help clinicians manage and potentially prevent complications. We evaluated the independent and joint effects of metabolic traits on the risk of cirrhosis and hepatocellular carcinoma (HCC) among patients with NAFLD. APPROACH AND RESULTS: We assembled a retrospective cohort of patients with NAFLD diagnosed at 130 facilities in the Veterans Administration between January 1, 2004, and December 31, 2008, with follow-up through December 31, 2015. We performed competing risk-adjusted cause-specific Cox models to evaluate the effects of metabolic traits (diabetes, hypertension, dyslipidemia, obesity) as additive or combined indicators on time to develop cirrhosis or HCC or a composite endpoint of both. Of the 271,906 patients, 22,794 developed cirrhosis, and 253 developed HCC during a mean of 9 years follow-up. At baseline, the mean body mass index was 31.6 (SD, 5.6), 28.7% had diabetes, 70.3% had hypertension, and 62.3% had dyslipidemia with substantial overlap among these traits. The risk of progression was the lowest in patients with only one or no metabolic trait. There was a stepwise increase in risk with each additional metabolic trait. Compared with patients with no metabolic trait, patients with both hypertension and dyslipidemia had 1.8-fold higher risk of progression to cirrhosis/HCC (hazard ratio [HR] = 1.8, 95% confidence interval [CI] = 1.59-2.06); the risk was 2.6-fold higher in patients with diabetes, obesity, dyslipidemia, and hypertension (HR = 2.6, 95% CI = 2.3-2.9). These associations were stronger for HCC. Diabetes had the strongest association with HCC in this cohort. CONCLUSIONS: Each additional metabolic trait increased the risk of cirrhosis and HCC in patients with NAFLD. Diabetes conferred the highest risk of progression to HCC. Patients with diabetes and coexisting hypertension and obesity may be important targets for secondary prevention.

Validation of a novel model for the early detection of hepatocellular carcinoma.

BACKGROUND: The biomarkers alpha-fetoprotein (AFP) and protein induced by vitamin K absence/antagonist-II (PIVKA-II) may be useful for detecting early-stage hepatocellular carcinoma (HCC). We evaluated the performance of AFP and PIVKA-II levels, alone and in combination with clinical factors, for the early detection of HCC. METHODS: In a case-control study, serum AFP and PIVKA-II were measured using the ARCHITECT immunoassay analyzer system in a cohort of 119 patients with HCC, 215 patients with non-malignant liver disease, and 34 healthy subjects. Five predictive models for detecting HCC were developed based on age, gender, AFP, and/or PIVKA-II levels; the best model was validated in an independent cohort of 416 patients with HCC and 412 control subjects with cirrhosis. RESULTS: In both cohorts, AFP and PIVKA-II concentrations were higher in patients with HCC compared to healthy controls and patients with non-malignant liver disease. The model that combined AFP and PIVKA-II, age, and gender had the highest AUC of 0.95 (0.95, 95% CI 0.93-0.98), with a sensitivity of 93% and a specificity of 84% in the development cohort, and an AUC of 0.87 (95% CI 0.85-0.90), sensitivity of 74%, and specificity of 85% in the validation cohort. When limiting the validation cohort to only early-stage HCC, the AUC was 0.85 (95% CI 0.81-0.88), sensitivity was 70%, and specificity was 86%. CONCLUSIONS: Compared to each biomarker alone, the combination of AFP and PIVKA-II with age and gender improved the accuracy of detecting HCC and differentiating HCC from non-malignant liver disease.

GALAD Score for Hepatocellular Carcinoma Detection in Comparison with Liver Ultrasound and Proposal of GALADUS Score.

BACKGROUND: The GALAD score is a serum biomarker-based model that predicts the probability of having hepatocellular carcinoma (HCC) in patients with chronic liver disease. We aimed to assess the performance of the GALAD score in comparison with liver ultrasound for detection of HCC. METHODS: A single-center cohort of 111 HCC patients and 180 controls with cirrhosis or chronic hepatitis B and a multicenter cohort of 233 early HCC and 412 cirrhosis patients from the Early Detection Research Network (EDRN) phase II HCC Study were analyzed. RESULTS: The area under the ROC curve (AUC) of the GALAD score for HCC detection was 0.95 [95% confidence interval (CI), 0.93-97], which was higher than the AUC of ultrasound (0.82, P <0.01). At a cutoff of -0.76, the GALAD score had a sensitivity of 91% and a specificity of 85% for HCC detection. The AUC of the GALAD score for early-stage HCC detection remained high at 0.92 (95% CI, 0.88-0.96; cutoff -1.18, sensitivity 92%, specificity 79%). The AUC of the GALAD score for HCC detection was 0.88 (95% CI, 0.85-0.91) in the EDRN cohort. The combination of GALAD and ultrasound (GALADUS score) further improved the performance of the GALAD score in the single-center cohort, achieving an AUC of 0.98 (95% CI, 0.96-0.99; cutoff -0.18, sensitivity 95%, specificity 91%). CONCLUSIONS: The performance of the GALAD score was superior to ultrasound for HCC detection. The GALADUS score further enhanced the performance of the GALAD score. IMPACT: The GALAD score was validated in the United States.

Rationale and design of the Hepatocellular carcinoma Early Detection Strategy study: A multi-center longitudinal initiative of the National Cancer Institute's Early Detection Research Network.

BACKGROUND: Hepatocellular carcinoma (HCC) is a common malignancy with a steadily rising incidence and associated morbidity and mortality. Cirrhosis of the liver is presently the leading risk factor for developing HCC. Abdominal imaging, with or without alpha-fetoprotein (AFP) testing, every 6 months is the current surveillance strategy for patients at risk. The available biomarkers for detecting this cancer at an early stage have inadequate sensitivity and specificity. METHODS: The Hepatocellular carcinoma Early Detection Strategy (HEDS) study, a multi-center initiative of the National Cancer Institutes' (NCI) Early Detection Research Network (EDRN), launched an effort to establish what has become the nation's largest comprehensive biorepository and database on patients at high risk of developing HCC. The cohort has been developed in seven clinical centers across the USA. Subjects are enrolled for a five-year period involving data and specimen collection every six months in accordance with standard surveillance for HCC. Extensive clinical data are collected and specimens are stored at a central repository. RESULTS: The database and biorepository contain longitudinally collected clinical data and serum and plasma samples from 1482 participants with cirrhosis and without evidence of HCC at baseline. Fifty-six percent are male, 85% Caucasian, 30% have a history of chronic HCV and 71% have compensated cirrhosis. CONCLUSIONS: The HEDS cohort provides opportunities for the continued study of the incidence and course of HCC in a comprehensively followed population of patients at high risk for this malignancy. Further, the EDRN biorepository provides a distinct opportunity for the development of novel biomarkers. Trial registry URL: https://edrn.nci.nih.gov/protocols/316-hepatocellular-carcinoma-early-detection-strategy.

Improved Performance of Serum Alpha-Fetoprotein for Hepatocellular Carcinoma Diagnosis in HCV Cirrhosis with Normal Alanine Transaminase.

Background: The utility of alpha-fetoprotein (AFP) for hepatocellular carcinoma (HCC) surveillance is controversial. We aimed to identify factors associated with elevated AFP and define the patients for whom AFP is effective for surveillance.Methods: Data from the NCI Early Detection Research Network phase II HCC biomarker study (233 early-stage HCC and 412 cirrhotic patients) were analyzed. We analyzed 110 early-stage HCC and 362 cirrhotic hepatitis C virus (HCV) patients for external validation. Sensitivity, specificity, and area under the ROC curve (AUC) for HCC were calculated.Results: HCV etiology, non-White race, and serum alanine transaminase (ALT) predicted elevated AFP in cirrhotics. Non-White race and ALT predicted elevated AFP in HCC patients. Higher AUC of AFP for HCC was noted in patients with HBV (0.85) and alcohol (0.84), whereas it was lower in patients with hepatitis C virus (HCV; 0.80) and nonviral/alcohol etiology (0.76). The AUC was higher in HCV patients with serum ALT ≤40 U/L than patients with serum ALT >40 U/L (0.91 vs. 0.75, P < 0.01). At 90% specificity, the sensitivity of AFP increased from 44% to 74% in Whites with HCV and from 50% to 85% in non-Whites with HCV. There was a trend toward higher AUC in HCV patients with serum ALT ≤40 U/L than those with serum ALT >40 U/L (0.79 vs. 0.69, P = 0.10) in the validation cohort.Conclusions: The satisfactory performance of AFP in HCV patients with normal ALT should be further validated.Impact: The AFP may serve as a valuable surveillance test in HCV patients with normal ALT. Cancer Epidemiol Biomarkers Prev; 26(7); 1085-92. ©2017 AACR.

A Gastric Glycoform of MUC5AC Is a Biomarker of Mucinous Cysts of the Pancreas.

Molecular indicators to specify the risk posed by a pancreatic cyst would benefit patients. Previously we showed that most cancer-precursor cysts, termed mucinous cysts, produce abnormal glycoforms of the proteins MUC5AC and endorepellin. Here we sought to validate the glycoforms as a biomarker of mucinous cysts and to specify the oligosaccharide linkages that characterize MUC5AC. We hypothesized that mucinous cysts secrete MUC5AC displaying terminal N-acetylglucosamine (GlcNAc) in either alpha or beta linkage. We used antibody-lectin sandwich assays to detect glycoforms of MUC5AC and endorepellin in cyst fluid samples from three independent cohorts of 49, 32, and 66 patients, and we used monoclonal antibodies to test for terminal, alpha-linked GlcNAc and the enzyme that produces it. A biomarker panel comprising the previously-identified glycoforms of MUC5AC and endorepellin gave 96%, 96%, and 87% accuracy for identifying mucinous cysts in the three cohorts with an average sensitivity of 92% and an average specificity of 94%. Glycan analysis showed that MUC5AC produced by a subset of mucinous cysts displays terminal alpha-GlcNAc, a motif expressed in stomach glands. The alpha-linked glycoform of MUC5AC was unique to intraductal papillary mucinous neoplasms (IPMN), whereas terminal beta-linked GlcNAc was increased in both IPMNs and mucinous cystic neoplasms (MCN). The enzyme that synthesizes alpha-GlcNAc, A4GNT, was expressed in the epithelia of mucinous cysts that expressed alpha-GlcNAc, especially in regions with high-grade dysplasia. Thus IPMNs secrete a gastric glycoform of MUC5AC that displays terminal alpha-GlcNAc, and the combined alpha-GlcNAc and beta-GlcNAc glycoforms form an accurate biomarker of mucinous cysts.

Phase I trials using Sleeping Beauty to generate CD19-specific CAR T cells.

BACKGROUND: T cells expressing antigen-specific chimeric antigen receptors (CARs) improve outcomes for CD19-expressing B cell malignancies. We evaluated a human application of T cells that were genetically modified using the Sleeping Beauty (SB) transposon/transposase system to express a CD19-specific CAR. METHODS: T cells were genetically modified using DNA plasmids from the SB platform to stably express a second-generation CD19-specific CAR and selectively propagated ex vivo with activating and propagating cells (AaPCs) and cytokines. Twenty-six patients with advanced non-Hodgkin lymphoma and acute lymphoblastic leukemia safely underwent hematopoietic stem cell transplantation (HSCT) and infusion of CAR T cells as adjuvant therapy in the autologous (n = 7) or allogeneic settings (n = 19). RESULTS: SB-mediated genetic transposition and stimulation resulted in 2,200- to 2,500-fold ex vivo expansion of genetically modified T cells, with 84% CAR expression, and without integration hotspots. Following autologous HSCT, the 30-month progression-free and overall survivals were 83% and 100%, respectively. After allogeneic HSCT, the respective 12-month rates were 53% and 63%. No acute or late toxicities and no exacerbation of graft-versus-host disease were observed. Despite a low antigen burden and unsupportive recipient cytokine environment, CAR T cells persisted for an average of 201 days for autologous recipients and 51 days for allogeneic recipients. CONCLUSIONS: CD19-specific CAR T cells generated with SB and AaPC platforms were safe, and may provide additional cancer control as planned infusions after HSCT. These results support further clinical development of this nonviral gene therapy approach. TRIAL REGISTRATION: Autologous, NCT00968760; allogeneic, NCT01497184; long-term follow-up, NCT01492036. FUNDING: National Cancer Institute, private foundations, and institutional funds. Please see Acknowledgments for details.

Redirecting T-Cell Specificity to EGFR Using mRNA to Self-limit Expression of Chimeric Antigen Receptor.

Potential for on-target, but off-tissue toxicity limits therapeutic application of genetically modified T cells constitutively expressing chimeric antigen receptors (CARs) from tumor-associated antigens expressed in normal tissue, such as epidermal growth factor receptor (EGFR). Curtailing expression of CAR through modification of T cells by in vitro-transcribed mRNA species is one strategy to mitigate such toxicity. We evaluated expression of an EGFR-specific CAR coded from introduced mRNA in human T cells numerically expanded ex vivo to clinically significant numbers through coculture with activating and propagating cells (AaPC) derived from K562 preloaded with anti-CD3 antibody. The density of AaPC could be adjusted to affect phenotype of T cells such that reduced ratio of AaPC resulted in higher proportion of CD8 and central memory T cells that were more conducive to electrotransfer of mRNA than T cells expanded with high ratios of AaPC. RNA-modified CAR T cells produced less cytokine, but demonstrated similar cytolytic capacity as DNA-modified CAR T cells in response to EGFR-expressing glioblastoma cells. Expression of CAR by mRNA transfer was transient and accelerated by stimulation with cytokine and antigen. Loss of CAR abrogated T-cell function in response to tumor and normal cells expressing EGFR. We describe a clinically applicable method to propagate and modify T cells to transiently express EGFR-specific CAR to target EGFR-expressing tumor cells that may be used to limit on-target, off-tissue toxicity to normal tissue.

Genetic editing of HLA expression in hematopoietic stem cells to broaden their human application.

Mismatch of human leukocyte antigens (HLA) adversely impacts the outcome of patients after allogeneic hematopoietic stem-cell transplantation (alloHSCT). This translates into the clinical requirement to timely identify suitable HLA-matched donors which in turn curtails the chances of recipients, especially those from a racial minority, to successfully undergo alloHSCT. We thus sought to broaden the existing pool of registered unrelated donors based on analysis that eliminating the expression of the HLA-A increases the chance for finding a donor matched at HLA-B, -C, and -DRB1 regardless of a patient's race. Elimination of HLA-A expression in HSC was achieved using artificial zinc finger nucleases designed to target HLA-A alleles. Significantly, these engineered HSCs maintain their ability to engraft and reconstitute hematopoiesis in immunocompromised mice. This introduced loss of HLA-A expression decreases the need to recruit large number of donors to match with potential recipients and has particular importance for patients whose HLA repertoire is under-represented in the current donor pool. Furthermore, the genetic engineering of stem cells provides a translational approach to HLA-match a limited number of third-party donors with a wide number of recipients.

Salivary Biomarkers for Detection of Oral Squamous Cell Carcinoma in a Taiwanese Population.

PURPOSE: This study evaluated the discriminatory power of salivary transcriptomic and proteomic biomarkers in distinguishing oral squamous cell carcinoma cases from controls and potentially malignant oral disorders (PMOD). EXPERIMENTAL DESIGN: A total of 180 samples (60 OSCC patients, 60 controls, and 60 PMOD patients) were used in the study. Seven transcriptomic markers (IL8, IL1ß, SAT1, OAZ1, DUSP1, S100P, and H3F3A) were measured using qPCR, and two proteomic markers (IL8 and IL1ß) were evaluated by ELISA. RESULTS: Among 7 transcriptomic markers, transcript level of DUSP1 was significantly lower in OSCC patients than in controls and PMOD patients. Between the proteomic markers, the protein concentration of IL8 and IL1ß was significantly higher in OSCC patients than controls and dysplasia patients. Univariate fractional polynomial (FP) models revealed that salivary IL8 protein (IL8p) has the highest AUC value between OSCC patients and controls (0.74) and between OSCC and PMOD patients (0.72). Applying a 2-marker FP model, salivary IL8p combined with IL1ß gave the best AUC value for discrimination between OSCC patients and controls, as well as the IL8p combined with H3F3A mRNA, which gave the best AUC value for discrimination between OSCC and PMOD patients. Multivariate models analysis combining salivary analytes and risk factor exposure related to oral carcinogenesis formed the best combinatory variables for differentiation between OSCC versus PMOL (AUC = 0.80), OSCC versus controls (AUC = 0.87), and PMOD versus controls (AUC = 0.78). CONCLUSIONS: The combination of transcriptomic and proteomic salivary markers is of great value for oral cancer detection and differentiation from PMOD patients and controls. Clin Cancer Res; 22(13); 3340-7. ©2016 AACR.

Serum Glycans as Risk Markers for Non-Small Cell Lung Cancer.

Previous studies have suggested occurrence of altered serum glycan profiles in patients with lung cancer. Here, we aimed to determine the predictive value of serum glycans to distinguish non-small cell lung cancer (NSCLC) cases from controls in prediagnostic samples using a previously validated predictive protein marker pro-SFTPB, as anchor. Blinded prediagnostic serum samples were obtained from the Carotene and Retinol Efficacy Trial (CARET), and included a discovery set of 100 NSCLC cases and 199 healthy controls. A second test set consisted of 108 cases and 216 controls. Cases and controls were matched for age at baseline (5-year groups), sex, smoking status (current vs. former), study enrollment cohort, and date of blood draw. Serum glycan profiles were determined by mass spectrometry. Twelve glycan variables were identified to have significant discriminatory power between cases and controls in the discovery set (AUC > 0.6). Of these, four were confirmed in the independent validation set. A combination marker yielded AUCs of 0.74 and 0.64 in the discovery and test set, respectively. Four glycan variables exhibited significant incremental value when combined with pro-SFTPB compared with pro-SFTPB alone with AUCs of 0.73, 0.72, 0.72, and 0.72 in the test set, indicating that serum glycan signatures have relevance to risk assessment for NSCLC.

The Doylestown Algorithm: A Test to Improve the Performance of AFP in the Detection of Hepatocellular Carcinoma.

Biomarkers for the early diagnosis of hepatocellular carcinoma (HCC) are needed to decrease mortality from this cancer. However, as new biomarkers have been slow to be brought to clinical practice, we have developed a diagnostic algorithm that utilizes commonly used clinical measurements in those at risk of developing HCC. Briefly, as α-fetoprotein (AFP) is routinely used, an algorithm that incorporated AFP values along with four other clinical factors was developed. Discovery analysis was performed on electronic data from patients who had liver disease (cirrhosis) alone or HCC in the background of cirrhosis. The discovery set consisted of 360 patients from two independent locations. A logistic regression algorithm was developed that incorporated log-transformed AFP values with age, gender, alkaline phosphatase, and alanine aminotransferase levels. We define this as the Doylestown algorithm. In the discovery set, the Doylestown algorithm improved the overall performance of AFP by 10%. In subsequent external validation in over 2,700 patients from three independent sites, the Doylestown algorithm improved detection of HCC as compared with AFP alone by 4% to 20%. In addition, at a fixed specificity of 95%, the Doylestown algorithm improved the detection of HCC as compared with AFP alone by 2% to 20%. In conclusion, the Doylestown algorithm consolidates clinical laboratory values, with age and gender, which are each individually associated with HCC risk, into a single value that can be used for HCC risk assessment. As such, it should be applicable and useful to the medical community that manages those at risk for developing HCC.