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Tissue regeneration is a process by which the remaining cells of an injured organ regrow to offset the missed cells. This field is relatively a new discipline that has been a focus of intense research by clinicians, surgeons, and scientists for decades. It constitutes the cornerstone of tissue engineering, creation of artificial organs, and generation and utilization of therapeutic stem cells to undergo transformation to different types of mature cells. Many medical experts, scientists, biologists, and bioengineers have dedicated their efforts to deeply comprehend the process of liver regeneration, striving for harnessing it to invent new therapies for liver failure. Liver regeneration after partial hepatectomy in rodents has been extensively studied by researchers for many years. It is divided into three important distinctive phases including (a) Initiation or priming phase which includes an overexpression of specific genes to prepare the liver cells for replication, (b) Proliferation phase in which the liver cells undergo a series of cycles of cell division and expansion and finally, (c) termination phase which acts as brake to stop the regenerative process and prevent the liver tissue overgrowth. These events are well controlled by cytokines, growth factors, and signaling pathways. In this review, we describe the function, embryology, and anatomy of human liver, discuss the molecular basis of liver regeneration, elucidate the hepatocyte and cholangiocyte lineages mediating this process, explain the role of hepatic progenitor cells and elaborate the developmental signaling pathways and regulatory molecules required to procure a complete restoration of hepatic lobule. This article is categorized under: Adult Stem Cells, Tissue Renewal, and Regeneration > Regeneration Signaling Pathways > Global Signaling Mechanisms Gene Expression and Transcriptional Hierarchies > Cellular Differentiation

Despite the remarkable outcomes of CD19-directed chimeric antigen receptor T (CART19) cell therapy in B-cell malignancies, the durable responses in diffuse large B-cell lymphoma are less than 40%, and strategies to enhance this response are desperately needed. Inhibition of AXL RTK with TP0903, a high-affinity AXL inhibitor has been found to induce robust apoptosis of malignant B cells. Here, we aimed to examine the role of AXL RTK inhibition with TP0903 on T-cell function in B-cell malignancies. First, we investigated the influence of TP0903 on CART19 cell phenotype and functions. Here, we used 41BB costimulated, lentiviral-transduced CART cells. AXL inhibition led to polarization of CART cells into a Th1 phenotype when T cells were stimulated with the CD19+ mantle cell lymphoma (MCL) cell line Jeko or with leukemic B cells isolated from patients with chronic lymphocytic leukemia (CLL), in the presence of TP0903 (Fig 1A). Exposure of activated CART cells to TP0903 also resulted in significant downregulation of inhibitory receptors on activated CART cells (Fig 1B), a reduction of conical cytokines known to be associated with the development of cytokine release syndrome (CRS) (Fig 1C). To investigate the effect of AXL RTK inhibition of CART cells with TP0903 in vivo, we established MCL xenografts through the injection of 1.0x106 of Jeko into NSG mice. A week later, mice were treated with either vehicle alone, TP0903 (20 mg/kg/day) alone, 0.5x106 of CART19 alone, or TP0903 (20mg/kg/day)+0.5x106 of CART19. Three weeks after the treatment, mice were rechallenged with 1.0x106 of Jeko. Mice treated with CART19 and TP0903 rejected the tumor challenge while mice previously treated with CART19 alone redeveloped MCL, suggesting that AXL inhibition enhanced CART cell persistence (Fig 1D). Finally, we validated our preclinical findings in correlative analyses of phase 1 clinical trial of TP0903 in patients with solid tumors (NCT02729298). Similar to our findings, there was a significant reduction in Tregs, reduction of inhibitory receptors and polarization to a Th1 phenotype. These findings will be further investigated in a planned phase 1 clinical trial of TP0903 in relapsed/refractory CLL (NCT03572634) In summary, we demonstrated for the first time that AXL inhibition polarizes T cells into a Th1 phenotype, downregulates inhibitory receptors, and synergizes with CART cells in B-cell malignancies. These findings encourage further study of TP0903 as an enhancer of T-cell immunotherapies.

PurposeThis work aims to develop a new framework of image quality assessment using deep learning‐based model observer (DL‐MO) and to validate it in a low‐contrast lesion detection task that involves CT images with patient anatomical background.MethodsThe DL‐MO was developed using the transfer learning strategy to incorporate a pretrained deep convolutional neural network (CNN), a partial least square regression discriminant analysis (PLS‐DA) model and an internal noise component. The CNN was previously trained to achieve the state‐of‐the‐art classification accuracy over a natural image database. The earlier layers of the CNN were used as a deep feature extractor, with the assumption that similarity exists between the CNN and the human visual system. The PLSR model was used to further engineer the deep feature for the lesion detection task in CT images. The internal noise component was incorporated to model the inefficiency and variability of human observer (HO) performance, and to generate the ultimate DL‐MO test statistics. Seven abdominal CT exams were retrospectively collected from the same type of CT scanners. To compare DL‐MO with HO, 12 experimental conditions with varying lesion size, lesion contrast, radiation dose, and reconstruction types were generated, each condition with 154 trials. CT images of a real liver metastatic lesion were numerically modified to generate lesion models with four lesion sizes (5, 7, 9, and 11 mm) and three contrast levels (15, 20, and 25 HU). The lesions were inserted into patient liver images using a projection‐based method. A validated noise insertion tool was used to synthesize CT exams with 50% and 25% of routine radiation dose level. CT images were reconstructed using the weighted filtered back projection algorithm and an iterative reconstruction algorithm. Four medical physicists performed a two‐alternative forced choice (2AFC) detection task (with multislice scrolling viewing mode) on patient images across the 12 experimental conditions. DL‐MO was operated on the same datasets. Statistical analyses were performed to evaluate the correlation and agreement between DL‐MO and HO.ResultsA statistically significant positive correlation was observed between DL‐MO and HO for the 2AFC low‐contrast detection task that involves patient liver background. The corresponding Pearson product moment correlation coefficient was 0.986 [95% confidence interval (0.950, 0.996)]. Bland–Altman agreement analysis did not indicate statistically significant differences.ConclusionsThe proposed DL‐MO is highly correlated with HO in a low‐contrast detection task that involves realistic patient liver background. This study demonstrated the potential of the proposed DL‐MO to assess image quality directly based on patient images in realistic, clinically relevant CT tasks.

Introduction: Stiffening of the aorta is associated with increased pulse pressure and transmission of pulsatile energy into the cerebral circulation. An association between increased aortic stiffening with intracranial atherosclerotic disease (ICAD) has not been widely studied. We tested the hypothesis that loss of aortic elasticity (i.e. higher aortic stiffness) is associated with a higher presence of ICAD. Methods: ARIC-NCS participants (n=1412; mean age: 76 years; 42% male; 30% Black) with measures of aortic stiffness and vascular brain magnetic resonance imaging (MRI) at the visit 5 (2011-2013) examination were included. Aortic stiffness was measured by carotid-femoral pulse wave velocity (cfPWV) using the VP-1000 Plus device (Omron Co., Japan). cfPWV was discretized into high vs. low aortic stiffness based on the upper 25 th percentile, 13.4 m/s. Brain MRI was performed on 3.0 Tesla scanners using a standardized protocol that included an MR angiography (MRA) and high isotropic resolution vessel MRI. Presence of ICAD was defined as eccentric wall thickening with or without luminal stenosis on MRA. We first examined the functional form relationship between continuous measures of cfPWV and ICAD. Comparing those with high vs. low aortic stiffening, we estimated the prevalence odds of ICAD using logistic regression. Models were adjusted for age, sex, race-center, education, smoking, heart rate, blood-pressure lowering medication, diabetes, LDL-cholesterol, and minutes/week of physical activity. Sampling weights were used for generalizability to the full ARIC cohort at visit 5. We tested for effect modification by race, sex, diabetes, central systolic blood pressure, and use of blood pressure-lowering medication. Results: The mean cfPWV was higher among participants with ICAD (12.6 ± 3.2 m/s) compared to those without ICAD (11.2 ± 2.9 m/s). cfPWV was associated with ICAD in a monotonic, linear fashion (p<0.05). The presence of ICAD was 50.6% among participants with high aortic stiffness (cfPWV above the upper 25th percentile; n=354) compared to 30.2% among participants with low aortic stiffness (n=1058). Compared to participants with low aortic stiffness, those with high aortic stiffness had two-fold higher odds of ICAD (odds ratio (OR): 1.97, 95% confidence interval (CI): 1.68, 2.33). No statistically significant modification of this association was observed. Results were robust to exclusions for prevalent stroke (n=43) and prevalent cardiovascular disease (n=153). Conclusions: Aortic stiffness, a highly prevalent trait among older men and women, is associated with ICAD presence quantified by magnetic resonance angiography. Aortic stiffness, its risk factors and the factors associated with the preservation of aortic elasticity, may play a role in modifying the risk of intracranial atherosclerosis.

Abstract Purpose: This first-in-human phase I study (NCT 01417546) evaluated the safety profile, optimal immunologic/biological dose (OID/OBD), and immunogenicity of the combination of two peptide B-cell epitope vaccines engineered to represent the trastuzumab- and pertuzumab-binding sites. Although trastuzumab and pertuzumab have been approved for clinical use, patients often develop resistance to these therapies. We have advanced a new paradigm in immunotherapy that focuses on humoral responses based on conformational B-cell epitope vaccines. Patients and Methods: The vaccine is comprised of two chimeric HER-2 B-cell peptide vaccines incorporating a “promiscuous T-cell epitope.” Patients were immunized with the vaccine constructs emulsified with nor-muramyl-dipeptide adjuvant in a water-in-oil Montanide ISA 720VG vehicle. Eligible patients with metastatic and/or recurrent solid tumors received three inoculations every 3 weeks. Results: Forty-nine patients with a median of 4 prior lines of chemotherapy received at least 1 vaccination. Twenty-eight patients completed the 3 vaccination regimens. Six patients received 1 six-month boost after the regimen, and one patient received 7 six-month boosts. No serious adverse reactions or dose-limiting toxicities were observed. The vaccine was well tolerated with dose level 2 as the recommended phase II dose. The most common related toxicity in all patients was injection-site reactions (24%). Two patients had a partial response, 14 had stable disease, and 19 had progressive disease. Conclusions: The study vaccine is safe, exhibits antitumor activity, and shows preliminary indication that peptide vaccination may avoid therapeutic resistance and offer a promising alternative to monoclonal antibody therapies.

Abstract MCAM (CD146) is a cell surface adhesion molecule that has been reported to promote cancer development, progression and metastasis and is considered as a potential tumor biomarker and therapeutic target. However, inconsistent reports exist, and its clinical value is yet to be confirmed. Here we took advantage of several large genomic data collections (Genotype-Tissue Expression, The Cancer Genome Atlas and Cancer Cell Line Encyclopedia) and comprehensively analyzed MCAM expression in thousands of normal and cancer samples and cell lines along with their clinical phenotypes and drug response information. Our results show that MCAM is very highly expressed in large vessel tissues while majority of tissues have low or minimal expression. Its expression is dramatically increased in a few tumors but significantly decreased in most other tumors relative to their pairing normal tissues. Increased MCAM expression is associated with a higher tumor stage and worse patient survival for some less common tumors but not for major ones. Higher MCAM expression in primary tumors may be complicated by tumor-associated or normal stromal blood vessels yet its significance may differ from the one from cancer cells. MCAM expression is weakly associated with the response to a few small molecular drugs and the association with targeted anti-BRAF agents suggests its involvement in that pathway which warrants further investigation.

AbstractIn the forensic field, ancestry‐informative markers (AIMs) showing remarkable allele frequency discrepancies can be useful in deducing the likely ancestral origin of a person or estimating the ancestry component proportions of an admixed population or individual. Diallelic single nucleotide polymorphisms are genetic markers commonly used for ancestry inference, but the genotyping methods of single nucleotide polymorphisms fail to fulfil the demands of cost‐effectiveness and simplicity of experimental manipulation. To overcome the limitations, a 39 ancestry‐informative insertion/deletion polymorphism multiplex panel was developed in the present study to perform ancestry assignment of individuals from three distinct biogeographic regions (Africa, Europe, East Asia). And in the panel design, we also attempted to incorporate AIM‐insertion/deletion polymorphisms exhibiting allelic frequency differences in Han, Uyghur, and Tibetan populations into the multiplex assay, further expecting to provide valuable information for refining ancestry inference within Chinese populations. Statistical analyses were performed to estimate efficiency of this panel in clustering individuals from three continents mentioned above into their corresponding populations, which indicated the potential of the panel in ancestry inference. Besides, we also estimated the ancestral component proportions of Uyghur group and STRUCTURE analysis revealed that Uyghurs from Urumchi city of northern Xinjiang exhibited a distinctly admixed pattern of East Asian and European ancestry components with a ratio of 49:44, reflecting the relatively higher East Asian ancestry component contribution in the gene pool of the Uyghur group.