Physical map of QTL for eleven agronomic traits across fifteen environments, identification of related candidate genes, and development of KASP markers with emphasis on terminal heat stress tolerance in common wheat.

KEY MESSAGE: Key message This study identified stable QTL, promising candidate genes and developed novel KASP markers for heat tolerance, providing genomic resources to assist breeding for the development of high-yielding and heat-tolerant wheat germplasm and varieties. To understand the genetic architecture of eleven agronomic traits under heat stress, we used a doubled-haploid population (177 lines) derived from a heat-sensitive cultivar (PBW343) and a heat-tolerant genotype (KSG1203). This population was evaluated under timely, late and very late sown conditions over locations and years comprising fifteen environments. Best linear unbiased estimates and a genetic map (5,710 SNPs) developed using sequencing-based genotyping were used for QTL mapping. The identified 66 QTL (20 novel) were integrated into wheat physical map (14,263.4 Mb). These QTL explained 5.3% (QDth.ccsu-4A for days to heading and QDtm.ccsu-5B for days to maturity) to 24.9% (QGfd.ccsu-7D for grain filling duration) phenotypic variation. Thirteen stable QTL explaining high phenotypic variation were recommended for marker-assisted recurrent selection (MARS) for optimum/heat stress environments. Selected QTL were validated by their presence in high-yielding doubled-haploid lines. Some QTL for 1000-grain weight (TaERF3-3B, TaFER-5B, and TaZIM-A1), grain yield (TaCol-B5), and developmental traits (TaVRT-2) were co-localized with known genes. Specific known genes for traits like abiotic/biotic stress, grain quality and yield were co-located with 26 other QTL. Furthermore, 209 differentially expressed candidate genes for heat tolerance in plants that encode 28 different proteins were identified. KASP markers for three major/stable QTL, namely QGfd.ccsu-7A for grain filling duration on chromosome 7A (timely sown), QNgs.ccsu-3A for number of grains per spike on 3A, and QDth.ccsu-7A for days to heading on 7A (late and very late sown) environments were developed for MARS focusing on the development of heat-tolerant wheat varieties/germplasm.

The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer.

BACKGROUND: Data examining associations among social support, survival, and healthcare utilization are lacking in patients with advanced cancer. METHODS: We conducted a cross-sectional secondary analysis using data from a prospective longitudinal cohort study of 966 hospitalized patients with advanced cancer at Massachusetts General Hospital from 2014 through 2017. We used NLP to identify extent of patients' social support (limited versus adequate as defined by NLP-aided review of the Electronic Health Record (EHR)). Two independent coders achieved a Kappa of 0.90 (95% CI: 0.84-1.00) using NLP. Using multivariable regression models, we examined associations of social support with: 1) OS; 2) death or readmission within 90 days of hospital discharge; 3) time to readmission within 90 days; and 4) hospital length of stay (LOS). RESULTS: Patients' median age was 65 (range: 21-92) years, and a plurality had gastrointestinal (GI) cancer (34.3%) followed by lung cancer (19.5%). 6.2% (60/966) of patients had limited social support. In multivariable analyses, limited social support was not significantly associated with OS (HR = 1.13, P = 0.390), death or readmission (OR = 1.18, P = 0.578), time to readmission (HR = 0.92, P = 0.698), or LOS (ß = -0.22, P = 0.726). We identified a potential interaction suggesting cancer type (GI cancer versus other) may be an effect modifier of the relationship between social support and OS (interaction term P = 0.053). In separate unadjusted analyses, limited social support was associated with lower OS (HR = 2.10, P = 0.008) in patients with GI cancer but not other cancer types (HR = 1.00, P = 0.991). CONCLUSION: We used NLP to assess the extent of social support in patients with advanced cancer. We did not identify significant associations of social support with OS or healthcare utilization but found cancer type may be an effect modifier of the relationship between social support and OS. These findings underscore the potential utility of NLP for evaluating social support in patients with advanced cancer.

Single-shot multispectral quantitative phase imaging of biological samples using deep learning.

Multispectral quantitative phase imaging (MS-QPI) is a high-contrast label-free technique for morphological imaging of the specimens. The aim of the present study is to extract spectral dependent quantitative information in single-shot using a highly spatially sensitive digital holographic microscope assisted by a deep neural network. There are three different wavelengths used in our method: λ=532, 633, and 808 nm. The first step is to get the interferometric data for each wavelength. The acquired datasets are used to train a generative adversarial network to generate multispectral (MS) quantitative phase maps from a single input interferogram. The network was trained and validated on two different samples: the optical waveguide and MG63 osteosarcoma cells. Validation of the present approach is performed by comparing the predicted MS phase maps with numerically reconstructed (F T+T I E) phase maps and quantifying with different image quality assessment metrices.

Association of Social Support With Overall Survival and Healthcare Utilization in Patients With Aggressive Hematologic Malignancies.

BACKGROUND: Social support plays a crucial role for patients with aggressive hematologic malignancies as they navigate their illness course. The aim of this study was to examine associations of social support with overall survival (OS) and healthcare utilization in this population. METHODS: A cross-sectional secondary analysis was conducted using data from a prospective longitudinal cohort study of 251 hospitalized patients with aggressive hematologic malignancies at Massachusetts General Hospital from 2014 through 2017. Natural Language Processing (NLP) was used to identify the extent of patients' social support (limited vs adequate as defined by NLP-aided chart review of the electronic health record). Multivariable regression models were used to examine associations of social support with (1) OS, (2) death or readmission within 90 days of discharge from index hospitalization, (3) time to readmission within 90 days, and (4) index hospitalization length of stay. RESULTS: Patients had a median age of 64 years (range, 19-93 years), and most were White (89.6%), male (68.9%), and married (65.3%). A plurality of patients had leukemia (42.2%) followed by lymphoma (37.9%) and myelodysplastic syndrome/myeloproliferative neoplasm (19.9%). Using NLP, we identified that 8.8% (n=22) of patients had limited social support. In multivariable analyses, limited social support was associated with worse OS (hazard ratio, 2.00; P=.042) and a higher likelihood of death or readmission within 90 days of discharge (odds ratio, 3.11; P=.043), but not with time to readmission within 90 days or with index hospitalization length of stay. CONCLUSIONS: In this cohort of hospitalized patients with aggressive hematologic malignancies, we found associations of limited social support with lower OS and a higher likelihood of death or readmission within 90 days of hospital discharge. These findings underscore the utility of NLP for evaluating the extent of social support and the need for larger studies evaluating social support in patients with aggressive hematologic malignancies.

Randomized trial of a hospice video educational tool for patients with advanced cancer and their caregivers.

BACKGROUND: Patients with advanced cancer and their caregivers have substantial misperceptions regarding hospice, which contributes to its underuse. METHODS: The authors conducted a single-site randomized trial of a video educational tool versus a verbal description of hospice in 150 hospitalized patients with advanced cancer and their caregivers. Patients without a caregiver were eligible. Intervention participants (75 patients and 18 caregivers) viewed a 6-minute video depicting hospice. Control participants (75 patients and 26 caregivers) received a verbal description identical to the video narrative. The primary outcome was patient preference for hospice. Secondary outcomes included patient and/or caregiver knowledge and perceptions of hospice, and hospice use. RESULTS: Between February 2017 and January 2019, approximately 55.7% of eligible patients (150 of 269 eligible patients) and 44 caregivers were enrolled. After the intervention, there was no difference noted with regard to patients' preferences for hospice (86.7% vs 82.7%; P = .651). Patients in the video group reported greater knowledge regarding hospice (9.0 vs 8.4; P = .049) and were less likely to endorse that hospice is only about death (6.7% vs 21.6%; P = .010). Among deceased patients, those assigned to the intervention were more likely to have used hospice (85.2% vs 63.6%; P = .01) and to have had a longer hospice length of stay (median, 12 days vs 3 days; P < .001). After the intervention, caregivers assigned to view the video were more likely to prefer hospice for their loved ones (94.4% vs 65.4%; P = .031), reported greater knowledge concerning hospice (9.7% vs 8.0%; P = .001), and were less likely to endorse that hospice is only about death (0.0% vs 23.1%; P = .066). CONCLUSIONS: A hospice video did not significantly impact patients' preferences for hospice care. Patients with advanced cancer and their caregivers who were assigned to view the video were more informed regarding hospice and reported more favorable perceptions of hospice. Patients were more likely to use hospice and to have a longer hospice length of stay.

High space-bandwidth in quantitative phase imaging using partially spatially coherent digital holographic microscopy and a deep neural network.

Quantitative phase microscopy (QPM) is a label-free technique that enables monitoring of morphological changes at the subcellular level. The performance of the QPM system in terms of spatial sensitivity and resolution depends on the coherence properties of the light source and the numerical aperture (NA) of objective lenses. Here, we propose high space-bandwidth quantitative phase imaging using partially spatially coherent digital holographic microscopy (PSC-DHM) assisted with a deep neural network. The PSC source synthesized to improve the spatial sensitivity of the reconstructed phase map from the interferometric images. Further, compatible generative adversarial network (GAN) is used and trained with paired low-resolution (LR) and high-resolution (HR) datasets acquired from the PSC-DHM system. The training of the network is performed on two different types of samples, i.e. mostly homogenous human red blood cells (RBC), and on highly heterogeneous macrophages. The performance is evaluated by predicting the HR images from the datasets captured with a low NA lens and compared with the actual HR phase images. An improvement of 9× in the space-bandwidth product is demonstrated for both RBC and macrophages datasets. We believe that the PSC-DHM + GAN approach would be applicable in single-shot label free tissue imaging, disease classification and other high-resolution tomography applications by utilizing the longitudinal spatial coherence properties of the light source.

Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL).

Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) is one of the most common heritable cerebral arteriopathy. Responsible for stroke and dementia in young adults and can be diagnosed by skin biopsy. We report a case of a 42 year old man with recurrent transient ischemic attacks (TIA). A detailed neurologic examination revealed poor score in MMSE (20/30) defect mainly seen in recall, repetitions. Executive dysfunction, memory and language impairment were also found. Motor system examination revealed grade 3 power in right upper and lower limb with more severe weakness of distal muscles in form of grip weakness and slippage of chappals. Neuroimaging and genetic analysis for Notch-3 confirmed the diagnosis. Imaging studies suggested greater involvement in the temporal and frontal lobes along with deep areas of the brain.

Characterizing the consistency of motion of spermatozoa through nanoscale motion tracing.

OBJECTIVE: To demonstrate nanoscale motion tracing of spermatozoa and present analysis of the motion traces to characterize the consistency of motion of spermatozoa as a complement to progressive motility analysis. DESIGN: Anonymized sperm samples were videographed under a quantitative phase microscope, followed by generating and analyzing superresolution motion traces of individual spermatozoa. SETTING: Not applicable. PATIENT(S): Centrifuged human sperm samples. INTERVENTION(S): Not applicable. MAIN OUTCOME MEASURE(S): Precision of motion trace of individual sperms, presence of a helical pattern in the motion trace, mean and standard deviations of helical periods and radii of sperm motion traces, speed of progression. RESULT(S): Spatially sensitive quantitative phase imaging with a superresolution computational technique MUltiple SIgnal Classification ALgorithm allowed achieving motion precision of 340 nm using ×10, 0.25 numerical aperture lens whereas the diffraction-limited resolution at this setting was 1,320 nm. The motion traces thus derived facilitated new kinematic features of sperm, namely the statistics of helix period and radii per sperm. Through the analysis, 47 sperms with a speed >25 µm/s were randomly selected from the same healthy donor semen sample, it is seen that the kinematic features did not correlate with the speed of the sperms. In addition, it is noted that spermatozoa may experience changes in the periodicity and radius of the helical path over time. Further, some very fast sperms (e.g., >70 µm/s) may demonstrate irregular motion and need further investigation. Presented computational analysis can be used directly for sperm samples from both fertility patients with normal and abnormal sperm cell conditions. We note that MUltiple SIgnal Classification ALgorithm is an image analysis technique that may vaguely fall under the machine learning category, but the conventional metrics for reporting found in Enhancing the QUAlity and Transparency Of health Research network do not apply. Alternative suitable metrics are reported, and bias is avoided through random selection of regions for analysis. Detailed methods are included for reproducibility. CONCLUSION(S): Kinematic features derived from nanoscale motion traces of spermatozoa contain information complementary to the speed of the sperms, allowing further distinction among the progressively motile sperms. Some highly progressive spermatozoa may have irregular motion patterns, and whether irregularity of motion indicates poor quality regarding artificial insemination needs further investigation. The presented technique can be generalized for sperm analysis for a variety of fertility conditions.

Effect of fluorescein dye concentration in oral cancer tissue: Statistical and spectroscopic analysis.

Oral cancer screening with exogenous agents is highly demanding due to high sensitivity, as the early diagnosis plays a vital role in achieving favorable outcomes for oral squamous cell carcinomas (OSCC) by facilitating prompt detection and comprehensive surgical removal. Optical techniques utilizing the local application of fluorescein dye or fluorescence-guided surgery offer potential for early OSCC detection. The use of fluorescein dye in oral cancer is significantly less, and there is a need to inspect the local application of fluorescein dye in oral cancer patients. Concentration-based investigations of the dye with OSCC patients are essential to ensure accurate fluorescence-guided surgery and screening with fluorescein labeling and to mitigate possible adverse effects. Additionally, analyzing the dye distribution within OSCC tissues can provide insights into their heterogeneity, a critical indicator of malignancy. The present study includes a concentration-based statistical and spectroscopic analysis of fluorescein dye in ex-vivo and in-vivo OSCC patients. In the ex-vivo examination of OSCC tissues, five concentrations (18.66 ± 0.06, 9.51 ±    0.02, 6.38 ± 0.01, 4.80 ± 0.004, and 3.85 ± 0.002 millimolar) are employed for optical analysis. The ex-vivo OSCC tissues are analyzed for multiple statistical parameters at all concentrations, and the results are thoroughly described. Additionally, spectroscopic analysis is conducted on all concentrations for a comprehensive evaluation. Following optical analysis of all five concentrations in the ex-vivo study, two concentrations, 6.38 ± 0.01 and 4.80 ± 0.004 millimolar, are identified as suitable for conducting in-vivo investigations of oral cancer. A detailed spectroscopic and statistical study of OSCC tissues in-vivo has been done using these two concentrations.

Comparison of Fecal Calprotectin with Different Endoscopic Scores in the Assessment of Ulcerative Colitis (UC) Activity and Its Utility in Differentiating IBS from IBD.

Background: Ulcerative colitis (UC), a chronic inflammatory disease of gastrointestinal tract, can have initial presentation which is clinically difficult to differentiate from functional bowel disorders [irritable bowel syndrome (IBS) and irritable bowel disease (IBD)]. Conventional laboratory tests, such as erythrocyte sedimentation rate (ESR), C-reactive protein, and albumin express systemic patient responses instead of intestinal inflammation. In the last decade, fecal calprotectin, a calcium-binding protein, has been suggested as a sensitive marker of intestinal inflammation. However, only few studies have investigated its role in relation with the extent of the disease. Aim: To evaluate the usefulness of fecal calprotectin as a biomarker for disease activity in UC, its correlation with disease extent and its utility in differentiating IBS from IBD. Methods: A total of 75 patients (50 cases with colonoscopic evidence of inflammation and 25 cases with normal colonoscopic examination) were included in the study. Fecal calprotectin test was done on the day of colonoscopy. Severity of the disease was assessed by modified Mayo's endoscopy score (MMES). Results: Age and baseline parameters were comparable in both the groups (UC and IBS). Patients in the ulcerative group had tachycardia (95 vs 74), high ESR (26 vs 20), high leukocytes count (9198 vs 8852), high fecal calprotectin (594 vs 29), low albumin (3.00 vs 3.80) and low hemoglobin (11 vs 13.40). Minimum and maximum MMES were 2 and 13.2. A significant correlation was observed between fecal calprotectin and MMES (p-value < 0.001). Conclusion: Fecal calprotectin is a simple, noninvasive, cost-effective marker that is strongly associated with colorectal inflammation; moreover, it has better role in the differentiation of IBD (UC) from IBS. How to cite this article: Acharya K, Bhardwaj V, Chuahan I, et al. Comparison of Fecal Calprotectin with Different Endoscopic Scores in the Assessment of Ulcerative Colitis (UC) Activity and Its Utility in Differentiating IBS from IBD. Euroasian J Hepato-Gastroenterol 2023;13(2):120-123.

Multimodal fluorescence imaging and spectroscopic techniques for oral cancer screening: a real-time approach.

The survival rate of oral squamous cell carcinoma (OSCC) patients is very poor, but it can be improved using highly sensitive, specific, and accurate techniques. Autofluorescence and fluorescence techniques are very sensitive and helpful in cancer screening; being directly linked with the molecular levels of human tissue, they can be used as a quantitative tool for cancer detection. Here, we report the development of multi-modal autofluorescence and fluorescence imaging and spectroscopic (MAF-IS) smartphone-based systems for fast and real-time oral cancer screening. MAF-IS system is indigenously developed and offers the advantages of being a low-cost, handy, non-contact, non-invasive, and easily operable device that can be employed in hospitals, including low-resource settings. In this study, we report the results of 43 individuals with 28 OSCC and 15 oral potentially malignant disorders (OPMDs), i.e., epithelial dysplasia and oral submucous fibrosis, using the developed devices. We observed a red shift in fluorescence emission spectrain vivo. We found red-shift of 7.72 ± 6 nm, 3 ± 4.36 nm, and 1.33 ± 0.47 nm in the case of OSCC, epithelial dysplasia, and oral submucous fibrosis, respectively, compared to normal. The results were compared with histopathology and found to be consistent. Further, the MAF-IS system provides results in real-time with higher accuracy and sensitivity compared to devices using a single modality. Our system can achieve an accuracy of 97% with sensitivity and specificity of 100% and 94.7%, respectively, even with a smaller number of patients (28 patients of OSCC). The proposed MAF-IS device has great potential for fast screening and diagnosis of oral cancer in the future.

Development of multimodal micro-endoscopic system with oblique illumination for simultaneous fluorescence imaging and spectroscopy of oral cancer.

Multimodality of an optical system implies the use of one or more optical techniques to improve the system's overall performance and maximum utility. In this article, we demonstrate a multimodal system with oblique illumination that combines two different techniques; fluorescence micro-endoscopy and spectroscopy simultaneously and can be utilized to obtain diverse information from the same location of biological sample. In present system, use of graded index (GRIN) rod-lens makes it highly compact and oblique incidence decouples illumination geometry with collection geometry, preventing CCD cameras from saturation and reduces number of optical elements, thereby making system further miniaturized and field-portable. It also overcomes the disadvantages of undesired reflections from different optical elements. The experimental results of simultaneous imaging and spectroscopy of the biological samples are presented along with quantitative spectroscopic parameters; peak wavelength shift, area under the curve and full width half maximum (FWHM). The spatial resolution, spectral resolution and field of view of the system are found to be 4.38 µm, 0.5 nm and 2.071×1.548mm2 , respectively. Furthermore, we have obtained the red shift for cancerous oral tissue with respect to normal oral tissue 5.79 ± 1.071 nm. This could be important indicator for oral cancer screening.

High-resolution single-shot phase-shifting interference microscopy using deep neural network for quantitative phase imaging of biological samples.

White light phase-shifting interference microscopy (WL-PSIM) is a prominent technique for high-resolution quantitative phase imaging (QPI) of industrial and biological specimens. However, multiple interferograms with accurate phase-shifts are essentially required in WL-PSIM for measuring the accurate phase of the object. Here, we present single-shot phase-shifting interferometric techniques for accurate phase measurement using filtered white light (520±36 nm) phase-shifting interference microscopy (F-WL-PSIM) and deep neural network (DNN). The methods are incorporated by training the DNN to generate (a) four phase-shifted frames and (b) direct phase from a single interferogram. The training of network is performed on two different samples i.e., optical waveguide and MG63 osteosarcoma cells. Further, performance of F-WL-PSIM+DNN framework is validated by comparing the phase map extracted from network generated and experimentally recorded interferograms. The current approach can further strengthen QPI techniques for high-resolution phase recovery using a single frame for different biomedical applications.

Association Between Baseline Patient-Reported Outcomes and Complications of Hematopoietic Stem Cell Transplantation.

Hematopoietic cell transplantation (HCT) is a potentially curative therapy for hematologic malignancies, but it often results in significant toxicities and impaired quality of life (QOL). Although the value of patient-reported outcomes (PROs) is increasingly recognized in HCT, data are limited regarding the relationship between PROs and HCT complications. We conducted a secondary data analysis of 250 patients who were hospitalized for autologous or allogeneic HCT at Massachusetts General Hospital from 2011 through 2016. We assessed QOL (Functional Assessment of Cancer Therapy-General), mood (Hospital Anxiety and Depression Scale), and fatigue (FACT-Fatigue) at baseline. We abstracted from the Electronic Health Record (1) hospitalization during the first 100 days after HCT, (2) days alive and out of the hospital in the first 100 days after HCT, and (3) cumulative incidence of acute graft-versus-host disease (GVHD) among allogeneic HCT recipients. We assessed the association of baseline PROs with HCT complications using multivariable models adjusting for patient and transplant characteristics. Overall, 44.4% (111/250) of patients underwent an autologous HCT, 25.2% (63/250) received a myeloablative allogeneic HCT, and 30.4% (76/250) underwent a reduced-intensity allogeneic HCT. In multivariable logistic regression, higher anxiety (odds ratio [OR] = 1.14, P = .004) was associated with higher likelihood of rehospitalization within 100 days after HCT. In multivariable Poisson regression, lower fatigue (ß = 0.003, P = .015) was associated with increased days alive and out of the hospital in the first 100 days post-HCT. In multivariable logistic regression, lower baseline QOL (OR = 0.97, P = .034), higher fatigue (OR = 0.95, P = .004), and higher depression (OR = 1.15, P = .020) were associated with increased likelihood of acute GVHD. Baseline PROs are associated with health care utilization after HCT and risk of acute GVHD in allogeneic HCT recipients. These findings underscore the potential utility of pretransplantation PROs as important prognostic factors for HCT.

Health Care Utilization and End-of-Life Care Outcomes for Patients With Decompensated Cirrhosis Based on Transplant Candidacy.

CONTEXT: Patients with decompensated cirrhosis have high rates of health care utilization at end of life (EOL). However, the impact of transplant candidacy on intensity of EOL care is currently unknown. OBJECTIVES: To assess the relationship between transplant candidacy and intensity of EOL care in the last year of life in an ambulatory cohort of patients with decompensated cirrhosis. METHODS: We performed a retrospective analysis of 230 patients with decompensated cirrhosis who were evaluated for liver transplantation in a large health care system between 1/1/2010 and 12/31/2017 and died by 6/20/2018. We compared health care utilization in the last year of life and EOL care outcomes between transplant-listed (n = 133) and nonlisted (n = 97) patients. We examined predictors of palliative and hospice care utilization using multivariate logistic regression. RESULTS: During the last year of life, patients had a median of three hospitalizations (IQR 2-5) and spent a median of 31 days (IQR 16-49) in the hospital. In all, 80% of patients died in the hospital, with 70% dying in the intensive care unit. The majority (70.0%) received a life-sustaining procedure (mechanical ventilation, renal replacement therapy, or cardiopulmonary resuscitation) during their terminal hospitalization, which did not differ between transplant-listed and nonlisted patients (74.4% vs. 63.9%, P = 0.09). Transplant-listed patients had lower odds of receiving specialty palliative care (odds ratio 0.43, P = 0.005). Patients with hepatocellular carcinoma had higher odds of receiving hospice care (odds ratio 2.03, P = 0.049). CONCLUSION: Patients with decompensated cirrhosis had intensive health care utilization during their last year of life regardless of transplant candidacy. Further work is needed to optimize their EOL care, particularly for patients who are ineligible for transplantation.

A phase I/II study of bexarotene with carboplatin and weekly paclitaxel for the treatment of patients with advanced non-small cell lung cancer.

BACKGROUND: Rexinoids demonstrate anti-proliferative differentiation-inducing activity in multiple cancer types, including NSCLC. Prior studies have shown promising results when combining rexinoids with chemotherapy. This phase I/II study evaluates the tolerability and activity of a rexinoid, bexarotene, combined with weekly paclitaxel and monthly carboplatin. METHODS: Patients with confirmed advanced stage IIIB or IV NSCLC and adequate organ function were enrolled. They were scheduled to receive carboplatin (AUC =6) and 3 doses of weekly paclitaxel (100 mg/m2) every 4 weeks. Oral bexarotene was administered daily at two doses: 300 and 400 mg/m2/day. RESULTS: Thirty-three patients were enrolled. Fourteen received 300 mg/m2/day and 19 received 400 mg/m2/day of bexarotene. Hematologic toxicity included grade 3 neutropenia in 7 patients. Hyperlipidemia was a major non-hematologic toxicity which was medically managed. The recommended phase II dose of bexarotene was 400 mg/m2/day. Response rate was 35%. Median overall survival (OS) for all patients was 8.3 months with 1-year survival of 43%. Median OS for the 300 mg/m2 dose of bexarotene was 6.6 versus 9.8 months for the 400 mg/m2 dose (HR, 0.73; Log rank P=0.37). Patients who experienced hypertriglyceridemia had a median OS of 9.8 months compared to 4.9 months for those who did not (HR, 0.69; Log rank P=0.33). CONCLUSIONS: The 43% 1-year survival for patients receiving bexarotene with weekly paclitaxel and monthly carboplatin is encouraging. With the availability of new classes of agents for lung cancer, further evaluation of this regimen in unselected patients is not warranted. Our study confirms prior subgroup analyses showing a significant correlation between bexarotene-induced hypertriglyceridemia and survival. Further research is needed to identify molecular biomarkers to identify this subset of patients and to explore rexinoids in other combinations, especially with immunotherapy.

Successive introduction of four new vaccines in Rwanda: High coverage and rapid scale up of Rwanda's expanded immunization program from 2009 to 2013.

As the pace of vaccine uptake accelerates globally, there is a need to document low-income country experiences with vaccine introductions. Over the course of five years, the government of Rwanda rolled out vaccines against pneumococcus, human papillomavirus, rotavirus, and measles & rubella, achieving over 90% coverage for each. To carry out these rollouts, Rwanda's Ministry of Health engaged in careful review of disease burden information and extensive, cross-sectoral planning at least one year before introducing each vaccine. Rwanda's local leaders, development partners, civil society organizations and widespread community health worker network were mobilized to support communication efforts. Community health workers were also used to confirm target population size. Support from Gavi, UNICEF and WHO was used in combination with government funds to promote country ownership and collaboration. Vaccination was also combined with additional community-based health interventions. Other countries considering rapid consecutive or simultaneous rollouts of new vaccines may consider lessons from Rwanda's experience while tailoring the strategies used to local context.