Publications by authors named "Hang Chang"

The CHI3L1 signaling pathway significantly influences glioma angiogenesis, but its role in the tumor microenvironment (TME) remains elusive. We propose a novel CHI3L1-associated vascular phenotype classification for glioma through integrative analyses of multiple datasets with bulk and single-cell transcriptome, genomics, digital pathology, and clinical data. We investigated the biological characteristics, genomic alterations, therapeutic vulnerabilities, and immune profiles within these phenotypes through a comprehensive multi-omics approach.

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Background: The heterogeneity of Neuroblastoma (NB) leads to variation in response to treatment and outcomes. The aim of the current study is to discover AI-empowered cellular morphometric biomarkers (CMBs), to establish the corresponding CMB risk score (CMBRS), CMB risk group (CMBRG), large language model driven CMB risk score (CMB-LLM-RS), and large language model driven CMB risk group (CMB-LLM-RG), and to investigate and validate their prognostic and predictive power in NB.

Methods: In this study, the retrospective cohort enrolled 84 primary NBs between 1/2020 and 12/2021, followed up through 11/22/2024; the prospective cohort enrolled 67 primary NBs between 1/2022 and 7/2023, followed up through 11/22/2024.

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Unlabelled: It is imperative to identify patients with prostate cancer (PCa) who will benefit from androgen receptor signaling inhibitors that can impact quality of life upon prolonged use. Using our extensively-validated artificial-intelligence technique: cellular morphometric biomarker via machine learning (CMB-ML), we identified 13 CMBs from whole slide images of needle biopsies from the trial specimens ( NCT02430480 , n=37) that accurately predicted response to neoadjuvant androgen deprivation therapy (NADT) (AUC: 0.980).

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The pollution of indoor environments and the consequent health risks associated with thirdhand smoke (THS) are increasingly recognized in recent years. However, the carcinogenic potential of THS and its underlying mechanisms have yet to be thoroughly explored. In this study, we examined the effects of short-term THS exposure on the development of gastric cancer (GC) in vitro and in vivo.

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Metastasis to the lungs is a leading cause of death for patients with breast cancer. Therefore, effective therapies are urgently needed to prevent and treat lung metastasis. In this study, we uncovered a mechanism by which NAD(P)H:quinone oxidoreductase 1 (NQO1) orchestrates lung metastasis.

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Background: Deeper insights into ERBB2-driven cancers are essential to develop new treatment approaches for ERBB2+ breast cancers (BCs). We employed the Collaborative Cross (CC) mouse model to unearth genetic factors underpinning Erbb2-driven mammary tumour development and metastasis.

Methods: 732 F1 hybrid female mice between FVB/N MMTV-Erbb2 and 30 CC strains were monitored for mammary tumour phenotypes.

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Esophageal cancer is a common malignancy worldwide with a poor prognosis without radical resection. Neoadjuvant concurrent chemoradiotherapy (NACRT) followed by esophagectomy is widely used for treating locally advanced esophageal cancer in the thorax. The study aimed to assess mutation profiles and their correlation with therapeutic outcomes in patients diagnosed with locally advanced thoracic esophageal squamous cell carcinoma (ESCC).

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The insights into interactions between host genetics and gut microbiome (GM) in colorectal tumor susceptibility (CTS) remains lacking. We used Collaborative Cross mouse population model to identify genetic and microbial determinants of Azoxymethane-induced CTS. We identified 4417 CTS-associated single nucleotide polymorphisms (SNPs) containing 334 genes that were transcriptionally altered in human colorectal cancers (CRCs) and consistently clustered independent human CRC cohorts into two subgroups with different prognosis.

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Non-invasive methods of detecting radiation exposure show promise to improve upon current approaches to biological dosimetry in ease, speed, and accuracy. Here we developed a pipeline that employs Fourier transform infrared (FTIR) spectroscopy in the mid-infrared spectrum to identify a signature of low dose ionizing radiation exposure in mouse ear pinnae over time. Mice exposed to 0.

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Post-pregnancy breast cancer often carries a poor prognosis, posing a major clinical challenge. The increasing trend of later-life pregnancies exacerbates this risk, highlighting the need for effective chemoprevention strategies. Current options, limited to selective estrogen receptor modulators, aromatase inhibitors, or surgical procedures, offer limited efficacy and considerable side effects.

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Article Synopsis
  • Luminal A breast cancer has a good outlook, but around 10% of patients may have tumors come back after 10 years, especially within the first 5 years after diagnosis.
  • A study was done to see how a specific protein called NCAPH affects the growth of luminal A breast cancer, looking for gene patterns that could indicate a higher risk of bad outcomes.
  • The findings showed that high levels of NCAPH are linked to more aggressive tumors and poorer responses to chemotherapy, leading to a new gene score (GSLA10) that can help predict which patients might have worse outcomes.
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Hematologic toxicity is a common side effect of multimodal cancer therapy. Nearly all animal studies investigating the causes of radiotherapy-induced hematologic toxicity use inbred strains with limited genetic diversity and do not reflect the diverse responses observed in humans. We used the population-based Collaborative Cross (CC) mouse resource to investigate the genetic architecture of the acute and persistent immune response after radiation exposure by measuring 22 immune parameters in 1,720 CC mice representing 35 strains.

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Despite their generally favorable prognosis, luminal A tumors paradoxically pose the highest ten-year recurrence risk among breast cancers. From those that relapse, a quarter of them do it within five years after diagnosis. Identifying such patients is crucial, as long-term relapsers could benefit from extended hormone therapy, whereas early relapsers may require aggressive treatment.

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Background: Risk stratification of cutaneous squamous cell carcinoma (cSCC) is essential for managing patients.

Objectives: To determine if artificial intelligence and machine learning might help to stratify patients with cSCC by risk using more than solely clinical and histopathological factors.

Methods: We retrieved a retrospective cohort of 104 patients whose cSCCs had been excised with clear margins.

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  • Cardiotoxicity due to anthracyclines (CDA) is a major concern for cancer patients, but predicting who will develop this complication remains challenging due to its complex genetic basis.
  • Researchers conducted a study using genetically diverse mice treated with doxorubicin and docetaxel to explore the link between intermediate molecular phenotypes (IMPs) in the heart and CDA susceptibility, identifying quantitative trait loci (QTLs) associated with these traits.
  • The study revealed that specific genetic variants related to IMPs could serve as markers for CDA risk in patients, which may help tailor more personalized treatment strategies for those receiving cancer therapies like anthracyclines.
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Aim: We aimed to identify the ability of serum bile acids (BAs) and unsaturated fatty acids (UFAs) profiles to predict the development of diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM) patients.

Methods: We first used univariate and multivariate analysis to compare 15 serum BA and 11 UFA levels in healthy control (HC) group (n = 82), T2DM patients with DR (n = 58) and T2DM patients without DR (n = 60). Forty T2DM patients were considered for validation.

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Increased mitotic activity is associated with the genesis and aggressiveness of many cancers. To assess the clinical value of mitotic activity as prognostic biomarker, we performed a pan-cancer study on the mitotic network activity index (MNAI) constructed based on 54-gene mitotic apparatus network. Our pan-cancer assessment on TCGA (33 tumor types, 10,061 patients) and validation on other publicly available cohorts (23 tumor types, 9,209 patients) confirmed the significant association of MNAI with overall survival, progression-free survival, and other prognostic endpoints in multiple cancer types, including lower-grade gliomas (LGG), breast invasive carcinoma (BRCA), as well as many others.

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Introduction: Gut microbiome (GM) deregulation has been implicated in major conditions such as obesity and type 2 diabetes (T2DM). Our previous prospective study indicated that fecal microbiota transplantation (FMT) successfully improved patients with T2DM. We hypothesized that FMT may be a potential therapeutic method for T2DM, but its precise mechanisms in T2DM remains to be elucidated.

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Article Synopsis
  • Scientists found that being around thirdhand smoke (THS) can be harmful to health, especially when it comes to cancer risk.
  • They used special mice that show a range of human genetics to study how THS affects cancer development.
  • The results showed that mice exposed to THS had a higher chance of developing tumors, especially in their lungs and livers, compared to those not exposed.
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Evidence showing a relationship between the mouse gut microbiome and properties such as phenotype and reaction to therapeutic agents and other treatments has increased significantly over the past 20 to 30 y. Recent concerns regarding the reproducibility of animal experiments have underscored the importance of understanding this relationship and how differences in husbandry practices can affect the gut microbiome. The current study focuses on effects of different barrier practices in 2 barrier facilities at the same institution on the fecal microbiome of breeding C57Bl/6J mice.

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Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex disease whose polygenic component is mainly unidentified. We propose that levels of intermediate molecular phenotypes in the myocardium associated with histopathological damage could explain CDA susceptibility; so that variants of genes encoding these intermediate molecular phenotypes could identify patients susceptible to this complication.

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Background: The effect of chemical exposure on obesity has raised great concerns. Real-world chemical exposure always imposes mixture impacts, however their exposure patterns and the corresponding associations with obesity have not been fully evaluated.

Objectives: To discover obesity-related mixed chemical exposure patterns in the general U.

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Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of the key factors for COVID-19 control and treatment. Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening from two independent hospitals with 419 patients. We identified the vasculature-like signals from CT images and found that, compared to healthy and community acquired pneumonia (CAP) patients, COVID-19 patients display a significantly higher abundance of these signals.

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