A subpopulation of luminal progenitors secretes pleiotrophin to promote angiogenesis and metastasis in inflammatory breast cancer

Inflammatory breast cancer (IBC) is a highly aggressive subtype of breast cancer characterized by rapidly arising diffuse erythema and edema. Genomic studies have not identified consistent alterations and mechanisms that differentiate IBC from non-IBC tumors, suggesting that the microenvironment could be a potential driver of IBC phenotypes. Here, using single-cell RNA sequencing, multiplex staining, and serum analysis in IBC patients, we identified enrichment of a subgroup of luminal progenitor (LP) cells containing high expression of the neurotropic cytokine pleiotrophin (PTN) in IBC tumors. PTN secreted by the LP cells promoted angiogenesis by directly interacting with the NRP1 receptor on endothelial tip cells located in both IBC tumors and the affected skin. NRP1 activation in tip cells led to recruitment of immature perivascular cells in the affected skin of IBC, which are correlated with increased angiogenesis and IBC metastasis. Together, these findings reveal a role for crosstalk between LPs, endothelial tip cells, and immature perivascular cells via PTN-NRP1 axis in the pathogenesis of IBC, which could lead to improved strategies for treating IBC.

Targeting lipid metabolism of macrophages: A new strategy for tumor therapy

BACKGROUND

Lipid metabolism has been implicated in a variety of normal cellular processes and strongly related to the development of multiple diseases, including tumor. Tumor-associated macrophage (TAM) has emerged as a crucial regulator in tumorigenesis and promising target for tumor treatment.

AIM OF REVIEW

A thorough understanding of TAM lipid metabolism and its value in tumorigenesis may provide new ideas for TAM-based anti-tumor therapy. Key scientific concepts of review: TAMs can be divided into two main types, M1-like TAMs and M2-like TAMs, which play anti-tumor and pro-tumor functions in tumor occurrence and development, respectively. Accumulating evidence has shown that lipid metabolic reprogramming, including fatty acid uptake and utilization, cholesterol expulsion, controls the polarization of TAMs and affects the tumorgenesis. These advances in uncovering the intricacies of lipid metabolism and TAMs have yielded new insights on tumor development and treatment. In this review, we aim to provide an update on the current understanding of the lipid metabolic reprogramming made by TAMs to adapt to the harsh tumor microenvironment (TME). In particular, we emphasize that there is complex lipid metabolism connections between TAMs and distinct tumors, which influences TAM to bias from M1 to M2 phenotype in tumor progression, and ultimately promotes tumor occurrence and development. Finally, we discuss the existing issues on therapeutic strategies by reprogramming TAMs based on lipid metabolism regulation (or increasing the ratio of M1/M2-like TAMs) that could be applied in the future to clinical tumor treatment.

Bioassessment of Macroinvertebrate Communities Influenced by Gradients of Human Activities

This study explores the impact of anthropogenic land use changes on the macroinvertebrate community structure in the streams of the Cangshan Mountains. Through field collections of macroinvertebrates, measurement of water environments, and delineation of riparian zone land use in eight streams, we analyzed the relationship between land use types, stream water environments, and macroinvertebrate diversities. The results demonstrate urban land use type and water temperature are the key environmental factors driving the differences in macroinvertebrate communities up-, mid-, and downstream. The disturbed streams had lower aquatic biodiversity than those in their natural state, showing a decrease in disturbance-sensitive aquatic insect taxa and a more similar community structure. In the natural woodland area, species distributions may be constrained by watershed segmentation and present more complex community characteristics.

Network pharmacology-based approach to understand the effect and mechanism of chrysophanol against cognitive impairment in Wilson disease

Wilson disease (WD) is a rare hereditary copper metabolism disorder, wherein cognitive impairment is a common clinical symptom. Chrysophanol (CHR) is an active compound with neuroprotective effects. The study aims to investigate the neuroprotective effect of CHR in WD and attempted to understand the potential mechanisms. Network pharmacology analysis was applied to predict the core target genes of CHR against cognitive impairment in WD. The rats fed with copper-laden diet for 12 weeks, and the effect of CHR on the copper content in liver and 24-h urine, the learning and memory ability, the morphological changes and the apoptosis level of neurons in hippocampal CA1 region, the expression level of Bax, Bcl-2, Cleaved Caspase-3, p-PI3K, PI3K, p-AKT, and AKT proteins were detected. Network pharmacology analysis showed that cell apoptosis and PI3K-AKT signaling pathway might be the main participants in CHR against cognitive impairment in WD. The experiments showed that CHR could reduce the copper content in liver, increase the copper content in 24-h urine, improve the ability of the learning and memory, alleviate the damage and apoptosis level of hippocampal neurons, down-regulate the expression of Bax, Cleaved Caspase-3, and up-regulate the expressions of Bcl-2, p-PI3K/PI3K, p-AKT/AKT. These results suggested that CHR could alleviate cognitive impairment in WD by inhibiting cell apoptosis and triggering the PI3K-AKT signaling pathway.

Genetic diversity and characterization of rhinoviruses from Chinese clinical samples with a global perspective

IMPORTANCE

Based on clinical samples collected in China, we detected and reported 22 types for the first time in China, as well as three types for the first time in Asia, and reported their genetic characteristics and diversity. We identified a novel type of Rhinovirus (RV), A110, highlighting its unique genetic features. We annotated the genomic structure and serotype of all the existing RV sequences in the database, and four novel RV types were identified and their genetic diversity reported. Combined with the sequence annotation, we constructed a complete VP1 data set of RV and conducted the first large-scale evolutionary dynamics analysis of RV. Based on a high-quality data set, we conducted a comprehensive analysis of the guanine-cytosine (GC) content variations among serotypes of RVs. This study provides crucial theoretical support and valuable data for understanding RV's genetic diversity and developing antiviral strategies.

The effects of N6-methyladenosine RNA methylation on the nervous system

Epitranscriptomics, also known as "RNA epigenetics", is a type of chemical modification that regulates RNA. RNA methylation is a significant discovery after DNA and histone methylation. The dynamic reversible process of m6A involves methyltransferases (writers), m6A binding proteins (readers), as well as demethylases (erasers). We summarized the current research status of m6A RNA methylation in the neural stem cells' growth, synaptic and axonal function, brain development, learning and memory, neurodegenerative diseases, and glioblastoma. This review aims to provide a theoretical basis for studying the mechanism of m6A methylation and finding its potential therapeutic targets in nervous system diseases.

Detection of continuous hierarchical heterogeneity by single-cell surface antigen analysis in the prognosis evaluation of acute myeloid leukaemia

BACKGROUND

Acute myeloid leukaemia (AML) is characterised by the malignant accumulation of myeloid progenitors with a high recurrence rate after chemotherapy. Blasts (leukaemia cells) exhibit a complete myeloid differentiation hierarchy hiding a wide range of temporal information from initial to mature clones, including genesis, phenotypic transformation, and cell fate decisions, which might contribute to relapse in AML patients.

METHODS

Based on the landscape of AML surface antigens generated by mass cytometry (CyTOF), we combined manifold analysis and principal curve-based trajectory inference algorithm to align myelocytes on a single-linear evolution axis by considering their phenotype continuum that correlated with differentiation order. Backtracking the trajectory from mature clusters located automatically at the terminal, we recurred the molecular dynamics during AML progression and confirmed the evolution stage of single cells. We also designed a 'dispersive antigens in neighbouring clusters exhibition (DANCE)' feature selection method to simplify and unify trajectories, which enabled the exploration and comparison of relapse-related traits among 43 paediatric AML bone marrow specimens.

RESULTS

The feasibility of the proposed trajectory analysis method was verified with public datasets. After aligning single cells on the pseudotime axis, primitive clones were recognized precisely from AML blasts, and the expression of the inner molecules before and after drug stimulation was accurately plotted on the trajectory. Applying DANCE to 43 clinical samples with different responses for chemotherapy, we selected 12 antigens as a general panel for myeloblast differentiation performance, and obtain trajectories to those patients. For the trajectories with unified molecular dynamics, CD11c overexpression in the primitive stage indicated a good chemotherapy outcome. Moreover, a later initial peak of stemness heterogeneity tended to be associated with a higher risk of relapse compared with complete remission.

CONCLUSIONS

In this study, pseudotime was generated as a new single-cell feature. Minute differences in temporal traits among samples could be exhibited on a trajectory, thus providing a new strategy for predicting AML relapse and monitoring drug responses over time scale.

Whole-genome microRNA sequencing analysis in patients with pulmonary hypertension

Pulmonary hypertension (PH) is a pathological disorder with multiple clinical manifestations that lead to cardiovascular and respiratory diseases in most patients. Recent studies have revealed that microRNAs (miRNAs) play important roles as upstream signaling molecules in several diseases, including PH. However, miRNAs that can be used as diagnostic or prognostic biomarkers for PH have not been identified. Thus, in this study, peripheral blood samples obtained from patients with PH and healthy individuals were subjected to genome-wide miRNA sequencing and transcriptome analysis. We screened 136 differentially expressed miRNAs in patients with PH and verified that four differentially expressed miRNAs, namely, hsa-miR-1304-3p, hsa-miR-490-3p, hsa-miR-11400, and hsa-miR-31-5p, could be used as clinical diagnostic biomarkers for pulmonary arterial hypertension. Our findings provide a basis for further in-depth investigations of the specific mechanisms of miRNAs in PH.

Intestinal microbiota: A bridge between intermittent fasting and tumors

Intestinal microbiota and their metabolites are essential for maintaining intestinal health, regulating inflammatory responses, and enhancing the body's immune function. An increasing number of studies have shown that the intestinal microbiota is tightly tied to tumorigenesis and intervention effects. Intermittent fasting (IF) is a method of cyclic dietary restriction that can improve energy metabolism, prolong lifespan, and reduce the progression of various diseases, including tumors. IF can affect the energy metabolism of tumor cells, inhibit tumor cell growth, improve the function of immune cells, and promote an anti-tumor immune response. Interestingly, recent research has further revealed that the intestinal microbiota can be impacted by IF, in particular by changes in microbial composition and metabolism. These findings suggest the complexity of the IF as a promising tumor intervention strategy, which merits further study to better understand and encourage the development of clinical tumor intervention strategies. In this review, we aimed to outline the characteristics of the intestinal microbiota and its mechanisms in different tumors. Of note, we summarized the impact of IF on intestinal microbiota and discussed its potential association with tumor suppressive effects. Finally, we proposed some key scientific issues that need to be addressed and envision relevant research prospects, which might provide a theoretical basis and be helpful for the application of IF and intestinal microbiota as new strategies for clinical interventions in the future.

Chrysophanol improves memory impairment and cell injury by reducing the level of ferroptosis in Aβ25-35 treated rat and PC12 cells

Alzheimer's disease (AD) is a common age-related chronic and neurodegenerative disease that has become a global health problem. AD pathogenesis is complex, and the clinical efficacy of commonly used anti-AD drugs is suboptimal. Recent research has revealed a close association between AD-induced damage and the activation of ferroptosis signaling pathways. Chrysophanol (CHR) the principal medicinal component of Rhubarb, has been reported to have anti-AD effects and can reduce ROS levels in AD-damaged models. AD has been linked to the activation of ferroptosis signaling pathways, which has an important feature of higher levels of reactive oxygen species (ROS). Therefore, the present study explored whether CHR had an anti-AD effect by regulating the ferroptosis levels in AD injury models. Morris water maze, novel object recognition test, Y-maze test, Hematoxylin-eosin (H&E) staining, western blotting, ROS measurement, GPx activity measurement, LPO measurement, transmission electron microscopy, live/dead cell staining were used to investigate the changes in spatial memory level and ferroptosis level in AD model, and the intervention effect of CHR. CHR improved the spatial memory level of AD rat models, reduced the level of hippocampal neuron damage, and improved the survival rate of PC12 cells damaged by β-amyloid (Aβ). Meanwhile, CHR increased glutathione peroxidase-4 (GPX4) protein expression, GPx activity, and GSH, decreased ROS and LPO levels in AD rat models and Aβ-damaged PC12 cells, and improved mitochondrial pathological damage. Our findings suggest that CHR may play a protective role in AD injury by lowering ferroptosis levels, which may provide a potential pathway for developing drugs for AD. However, the mechanism of CHR's role requires further investigation.

[Huangdi Anxiao Capsules-containing serum protects cell model from cognitive dysfunction in diabetes via inhibiting NLRP3-mediated pyroptosis]

This study aims to investigate the effects and the molecular mechanism of Huangdi Anxiao Capsules(HDAX)-containing serum in protecting the rat adrenal pheochromocytoma(PC12) cells from diabetes-associated cognitive dysfunction induced by high glucose and whether the mechanism is related to the regulation of NOD-like receptor thermal protein domain associated protein 3(NLRP3)-mediated pyroptosis. The PC12 cell model of diabetes-associated cognitive dysfunction induced by high glucose was established and mcc950 was used to inhibit NLRP3. PC12 cells were randomized into control, model, HDAX-containing serum, mcc950, and HDAX-containing serum+mcc950 groups. Methyl thiazolyl tetrazolium(MTT) assay was employed to determine the viability, and Hoechst 33258/PI staining to detect pyroptosis of PC12 cells. Enzyme-linked immunosorbent assay(ELISA) was employed to measure the levels of interleukin-1 beta(IL-1β) and IL-18. Western blot was employed to determine the protein levels of postsynaptic density protein 95(PSD-95), NLRP3, apoptosis-associated speck-like protein containing a CARD(ASC), gasdermin D(GSDMD), GSDMD-N, and cleaved cysteinyl aspartate specific proteinase-1(caspase-1), and RT-PCR to determine the mRNA levels of NLRP3, ASC, GSDMD, and caspase-1. The immunofluorescence assay was adopted to measure the levels and distribution of NLRP3 and GSDMD-N in PC12 cells. Compared with the control group, the model group showed decreased cell proliferation, increased PI positive rate, down-regulated protein level of PSD-95, up-regulated protein levels of NLRP3, ASC, GSDMD-N, GSDMD, and cleaved caspase-1, up-regulated mRNA levels of NLRP3, ASC, GSDMD, and caspase-1, and elevated levels of IL-1β and IL-18. Compared with the model group, HDAX-containing serum, mcc950, and the combination of them improved cell survival rate and morphology, decreased the PI positive rate, down-regulated the protein levels of NLRP3, ASC, GSDMD-N, GSDMD, and cleaved caspase-1 and the mRNA levels of NLRP3, ASC, GSDMD, and caspase-1, and promoted the secretion of IL-1β and IL-18. The findings demonstrated that HDAX-containing serum can inhibit the pyroptosis-mediated by NLRP3 and protect PC12 cells from the cognitive dysfunction induced by high glucose.

Phosphorylation of MAP 1A regulates hyperphosphorylation of Tau in Alzheimer's disease model

BACKGROUND AND PURPOSE

Hyperphosphorylation of Tau is one of the important pathological features of Alzheimer's disease (AD). Therefore, studying the mechanisms behind Tau hyperphosphorylation is crucial in exploring the pathogenesis of neurological damage in AD.

METHODS

In this study, after the establishment of rat models of AD, quantitative phosphoproteomics and proteomics were performed to identify proteins, showing that phosphorylation of microtubule associated protein 1A (MAP 1A) was lower in the model group. Western blot confirmed the changes of MAP 1A in the SD rats, APP/PS1 transgenic mice and cell AD models. To further study the molecular mechanism of recombinant MAP 1A phosphorylation affecting Tau phosphorylation, interfering siRNA-MAP 1A and protein immunoprecipitation reaction analysis were performed in AD cell models.

RESULTS

Cyclin-dependent kinase 5 (CDK5) showed reduced binding to MAP 1A and increased binding to Tau, resulting in a decrease in phosphorylated MAP 1A (p-MAP 1A) and an increase in phosphorylated Tau (p-Tau), and MAP 1A silencing promoted binding of CDK5-Tau and increased Tau phosphorylation, thereby reducing the cell survival rate.

CONCLUSIONS

In summary, we found that p-MAP 1A downregulation associated with p-Tau upregulation was due to their altered binding forces to CDK5, and MAP 1A could enhance autophosphorylation by competitive binding to CDK5 and antagonise Tau phosphorylation. This leads to neuronal protection and reducing tissue damage levels in AD, which can help better understand the mechanisms of AD pathogenesis.

Effect of Lipid Levels on Tumor-Infiltrating Lymphocytes and Prognosis in Patients with Triple-Negative Breast Cancer

Objective

Dyslipidemia can promote cell proliferation, malignant transformation, metastasis, and cancer recurrence. Moreover, it could also affect immune infiltration in the tumor microenvironment. Therefore, we aimed to explore the effects of lipid levels on tumor-infiltrating lymphocytes (TILs) and prognosis in patients with triple-negative breast cancer (TNBC).

Methods

Samples from 222 patients with TNBC from July 2007 to December 2019 were obtained from the tissue specimen banks in 3 hospitals. The blood samples were used to detect the levels of lipid levels such as apolipoprotein B (Apo B), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). The TILs in the 222 TNBC tissues were detected using hematoxylin and eosin (H&E) staining, and the relationship between the lipid levels, clinical characteristics, and prognosis was analyzed.

Results

Among TNBC patients, the overall survival (OS) time and disease-free survival (DFS) time were lower in patients with high LDL-C levels than those with low LDL-C levels (p < 0.01, respectively). The DFS was shorter in patients with low stromal TIL (STIL) levels than those with moderate or high STIL levels (p = 0.023). Multifactor Cox regression analysis showed that LDL-C level, Apo B level, and lymphocyte-predominant breast cancer were independent risk factors for OS in TNBC patients. The number of positive lymph nodes, postoperative staging, and total amount of TILs were independent risk factors for DFS in TNBC patients.

Conclusion

The LDL-C and STIL levels were correlated with survival and prognosis in patients with TNBC.

Comparison of ethanol-soaked gelatin sponge and microspheres for hepatic arterioportal fistulas embolization in hepatic cellular carcinoma

BACKGROUND

Hepatic arterioportal fistulas (APFs) are common in hepatocellular carcinoma (HCC). Moreover, correlated with poor prognosis, APFs often complicate anti-tumor treatments, including transarterial chemoembolization (TACE).

AIM

To compare the efficacy of ethanol-soaked gelatin sponges (ESG) and microspheres in the management of APFs and their impact on the prognosis of HCC.

METHODS

Data from patients diagnosed with HCC or hepatic APFs between June 2016 and December 2019 were retrospectively analyzed. Furthermore, APFs were embolized with ESG (group E) or microspheres (group M) during TACE. The primary outcomes were disease control rate (DCR) and objective response rate (ORR). The secondary outcomes included immediate and first follow-up APF improvement, overall survival (OS), and progression-free survival (PFS).

RESULTS

Altogether, 91 participants were enrolled in the study, comprising 46 in group E and 45 in group M. The DCR was 93.5% and 91.1% in groups E and M, respectively (P = 0.714). The ORRs were 91.3% and 66.7% in groups E and M, respectively (P = 0.004). The APFs improved immediately after the procedure in 43 (93.5%) patients in group E and 40 (88.9%) patients in group M (P = 0.485). After 2 mo, APF improvement was achieved in 37 (80.4%) and 33 (73.3%) participants in groups E and M, respectively (P = 0.421). The OS was 26.2 ± 1.4 and 20.6 ± 1.1 mo in groups E and M, respectively (P = 0.004), whereas the PFS was 16.6 ± 1.0 and 13.8 ± 0.7 mo in groups E and M, respectively (P = 0.012).

CONCLUSION

Compared with microspheres, ESG embolization demonstrated a higher ORR and longer OS and PFS in patients of HCC with hepatic APFs.

A HUWE1 defect causes PARP inhibitor resistance by modulating the BRCA1-∆11q splice variant

Although PARP inhibitors (PARPi) now form part of the standard-of-care for the treatment of homologous recombination defective cancers, de novo and acquired resistance limits their overall effectiveness. Previously, overexpression of the BRCA1-∆11q splice variant has been shown to cause PARPi resistance. How cancer cells achieve increased BRCA1-∆11q expression has remained unclear. Using isogenic cells with different BRCA1 mutations, we show that reduction in HUWE1 leads to increased levels of BRCA1-∆11q and PARPi resistance. This effect is specific to cells able to express BRCA1-∆11q (e.g. BRCA1 exon 11 mutant cells) and is not seen in BRCA1 mutants that cannot express BRCA1-∆11q, nor in BRCA2 mutant cells. As well as increasing levels of BRCA1-∆11q protein in exon 11 mutant cells, HUWE1 silencing also restores RAD51 nuclear foci and platinum salt resistance. HUWE1 catalytic domain mutations were also seen in a case of PARPi resistant, BRCA1 exon 11 mutant, high grade serous ovarian cancer. These results suggest how elevated levels of BRCA1-∆11q and PARPi resistance can be achieved, identify HUWE1 as a candidate biomarker of PARPi resistance for assessment in future clinical trials and illustrate how some PARPi resistance mechanisms may only operate in patients with particular BRCA1 mutations.

The kleisin subunit controls the function of C. elegans meiotic cohesins by determining the mode of DNA binding and differential regulation by SCC-2 and WAPL-1

The cohesin complex plays essential roles in chromosome segregation, 3D genome organisation, and DNA damage repair through its ability to modify DNA topology. In higher eukaryotes, meiotic chromosome function, and therefore fertility, requires cohesin complexes containing meiosis-specific kleisin subunits: REC8 and RAD21L in mammals and REC-8 and COH-3/4 in Caenorhabditis elegans. How these complexes perform the multiple functions of cohesin during meiosis and whether this involves different modes of DNA binding or dynamic association with chromosomes is poorly understood. Combining time-resolved methods of protein removal with live imaging and exploiting the temporospatial organisation of the C. elegans germline, we show that REC-8 complexes provide sister chromatid cohesion (SCC) and DNA repair, while COH-3/4 complexes control higher-order chromosome structure. High-abundance COH-3/4 complexes associate dynamically with individual chromatids in a manner dependent on cohesin loading (SCC-2) and removal (WAPL-1) factors. In contrast, low-abundance REC-8 complexes associate stably with chromosomes, tethering sister chromatids from S-phase until the meiotic divisions. Our results reveal that kleisin identity determines the function of meiotic cohesin by controlling the mode and regulation of cohesin-DNA association, and are consistent with a model in which SCC and DNA looping are performed by variant cohesin complexes that coexist on chromosomes.

Lnc NR2F1-AS1 Promotes Breast Cancer Metastasis by Targeting the MiR-25-3p/ZEB2 Axis

Background: Long noncoding RNAs (lncRNAs) substantially affect tumor metastasis and are aberrantly expressed in various cancers. However, its role in breast cancer (BC) remains unclear. Methods: A microarray assay of differentially expressed lncRNAs in epithelial-mesenchymal transition (EMT) and non-EMT cells was performed. The prognostic value of lnc NR2F1-AS1 expression in patients with BC was analyzed using The Cancer Genome Atlas database. Lnc NR2F1-AS1 expression levels in different BC cell lines were assessed using quantitative real-time PCR. The role of lnc NR2F1-AS1 in BC cell metastasis was investigated in vitro and in vivo. Dual luciferase reporter assay and RNA immunoprecipitation were performed to investigate the relationship between lnc NR2F1-AS1, miR-25-3p, and ZEB2. Results: High levels of lnc NR2F1-AS1 were observed in BC cells undergoing EMT and were closely correlated with adverse prognosis in patients with BC. Lnc NR2F1-AS1 knockdown significantly inhibited BC cell migration, invasiveness in vitro, and metastasis in vivo. Mechanistically, lnc NR2F1-AS1 competitively binds to miR-25-3p to impede ZEB2 degradation, a positive EMT transcription factor in BC. Conclusions: Our study revealed a novel lnc NR2F1-AS1/miR-25-3p/ZEB2 axis in BC metastasis and that lnc NR2F1-AS1 may serve as a potential therapeutic target for BC metastasis.

The Efficacy of Low-Kilovoltage X-Rays Intraoperative Radiation as Boost for Breast Cancer: A Systematic Review and Meta-Analysis

Background

Intraoperative radiotherapy (IORT) is a novel promising technology that may replace external beam radiation therapy (EBRT) as boost for patients receiving breast-conserving surgery. To better evaluate the efficacy of IORT using low-kilovoltage (low-kV) X-rays as boost, we presented this meta-analysis according to the PRISMA checklist.

Methods

Studies reported survival outcomes of intraoperative radiation using low-kilovoltage X-rays system (Intrabeam®, Carl Zeiss Meditec, Dublin, CA, USA) as boost were identified through electronic bibliographic database: PUBMED. The meta-analysis module in Stata (16.0) is used to pool the studies. A Poisson regression model is used to predict a 5-year local recurrence rate.

Results

Twelve studies including 3006 cases were included in the final analysis, with a median follow-up of 55 months weighted by sample size. The pooled local recurrence rate is 0.39% per person-year (95% CI: 0.15%-0.71%), with a low degree of heterogeneity (I² = 0%). The predicted 5-year local recurrence rate was 3.45%. No difference in pooled local recurrence rate was found between non-neoadjuvant patients studies and neoadjuvant patients studies (0.41% per person-year vs. 0.58% per person-year, P = 0.580).

Conclusions

This study shows that low-kV IORT is an effective method as boost in breast cancer patients, with a low pooled local recurrence rate and low predicted 5-year local recurrence rate. Besides, no difference in the local recurrence rate was found between non-neoadjuvant patients studies and neoadjuvant patients studies. Low-kV IORT boost may be a promising alternative to EBRT boost in the future, which is being tested in the ongoing TARGIT-B trial.

The application of contrast-enhanced ultrasound for sentinel lymph node evaluation and mapping in breast cancer patients

Background

To retrospectively investigate the application of contrast-enhanced ultrasound on sentinel lymph node (SLN-CEUS) for SLN evaluation and mapping in breast cancer patients.

Methods

Patients diagnosed with breast cancer at the First Affiliated Hospital of Sun Yat-sen University from June 2019 to March 2021 were conveniently evaluated by SLN-CEUS. The results of SLN-CEUS and B mode-ultrasound (BUS) were collected and compared. For patients who only underwent SLN-CEUS, we conducted a 1:1 propensity score matching (PSM). The diagnostic parameters, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), false negative rate (FNR), false positive rate (FPR), and proportion of undetermined diagnoses were compared between the SLN-CEUS and BUS cohorts. The identification rate and FNR of sentinel lymph node biopsy (SLNB) were also assessed.

Results

There were 327 patients in each of the SLN-CEUS and BUS cohorts. Among the entire cohort, both NPV [90.2% (95% CI, 85.4-93.5%) vs. 83.5% (95% CI, 77.8-88.0%), P=0.048] and accuracy [80.7% (95% CI, 76.5-85.0%) vs. 73.7% (95% CI, 68.9-78.5%), P<0.001] of SLN-CEUS were significantly higher than those of BUS. In non-neoadjuvant treatment (NAT) patients, the NPV [94.7% (95% CI, 89.9-97.4%) vs. 85.5% (95% CI, 79.1-90.2%), P=0.007] and accuracy [87.6% (95% CI, 83.2-92.0%) vs. 76.0% (95% CI, 70.4-81.5%), P<0.001] of SLN-CEUS were significantly higher than those of BUS. In NAT patients, no difference in diagnostic efficacy was found. The proportion of undetermined diagnoses of SLN-CEUS was significantly lower than that of BUS (5.8% vs. 15.3%, P<0.001). The identification rate of SLN-CEUS in overall patients, non-NAT patients, and NAT patients was 94.2%, 96.3%, and 89.9%, respectively. The FNR of SLNB with the blue-dye tracer in combination with SLN-CEUS in overall patients, non-NAT patients, and NAT patients was 7.3%, 4.0%, and 12.5%, respectively.

Conclusions

Compared to BUS, SLN-CEUS is a better technique for diagnosing SLNs in early breast cancer patients, showing superiority in multiple diagnostic parameters. However, the diagnostic value of SLN-CEUS in NAT patients is still undetermined. SLN-CEUS is a promising mapping method in SLNB, with a high identification rate and a low FNR when used in combination with a blue-dye tracer.

Amino acid metabolism in tumor: New shine in the fog?

Alterations in amino acid metabolism is closely related to the occurrence of clinical diseases. The mechanism of tumorigenesis is complex, involving the complicated relationship between tumor cells and immune cells in local tumor microenvironment. A series of recent studies have shown that metabolic remodeling is intimately related to tumorigenesis. And amino acid metabolic reprogramming is one of the important characteristics of tumor metabolic remodeling, which participates in tumor cells growth, survival as well as the immune cell activation and function in the local tumor microenvironment, thereby affecting tumor immune escape. Recent studies have further shown that controlling the intake of specific amino acids can significantly improve the effect of clinical intervention in tumors, suggesting that amino acid metabolism is gradually becoming one of the new promising targets of clinical intervention in tumors. Therefore, developing new intervention strategies based on amino acid metabolism has broad prospects. In this article, we review the abnormal changes in the metabolism of some typical amino acids, including glutamine, serine, glycine, asparagine and so on in tumor cells and summarize the relationship among amino acid metabolism, tumor microenvironment and the function of T cells. In particular, we discuss the current issues that need to be addressed in the related fields of tumor amino acid metabolism, aiming to provide a theoretical basis for the development of new strategies for clinical interventions in tumors based on amino acid metabolism reprogramming.

The Application of Mixed Reality to Sentinel Lymph Node Biopsy in Breast Cancer

OBJECTIVE

To explore the value of mixed reality (MR) in sentinel lymph node biopsy (SLNB) in patients with breast cancer.

METHODS

A total of 300 patients with breast cancer who underwent SLNB enrolled and were randomly divided into two groups. In group A, only dye (an injection of methylene blue) was used to detect sentinel lymph nodes, while in group B MR was used for positioning in addition to dye. (MR localization method: Before the surgery, we built a 1:1 3D reconstruction model based on the patient's CT or MRI original data, and after the patient was injected with dye, we completed MR localization by overlapping the pre-marked image with the model.) RESULTS: During surgery, the detection time in group B was significantly shorter than in group A (3.62 ± 1.20 vs.7.87 ± 1.86; p < 0.001). At 1-month post-surgery follow-up, the incidence of pain in group B was lower than that in group A (2.70 vs. 8.28%, p = 0.036). The incidence of upper limb dysfunction was lower in group B than in group A (2.03 vs. 8.97%, p = 0.009). In terms of the incidence of pain, group B was better than group A (0.68 vs. 3.45%, p = 0.094). The satisfaction of the two groups was scored, and the results showed that group B was better than group A (4.04 ± 0.91 vs.3.32 ± 0.94, p < 0.001).

CONCLUSION

The application of MR to SLNB in breast cancer can significantly reduce the detection time and the occurrence of complications and improve patient satisfaction.

Decentralized clinical trials and rare diseases: a Drug Information Association Innovative Design Scientific Working Group (DIA-IDSWG) perspective

BACKGROUND

Traditional clinical trials require tests and procedures that are administered in centralized clinical research sites, which are beyond the standard of care that patients receive for their rare and chronic diseases. The limited number of rare disease patients scattered around the world makes it particularly challenging to recruit participants and conduct these traditional clinical trials.

MAIN BODY

Participating in clinical research can be burdensome, especially for children, the elderly, physically and cognitively impaired individuals who require transportation and caregiver assistance, or patients who live in remote locations or cannot afford transportation. In recent years, there is an increasing need to consider Decentralized Clinical Trials (DCT) as a participant-centric approach that uses new technologies and innovative procedures for interaction with participants in the comfort of their home.

CONCLUSION

This paper discusses the planning and conduct of DCTs, which can increase the quality of trials with a specific focus on rare diseases.

Dissecting the role of cancer-associated fibroblast-derived biglycan as a potential therapeutic target in immunotherapy resistance: A tumor bulk and single-cell transcriptomic study

INTRODUCTION

Cancer-associated fibroblasts (CAFs) are correlated with the immunotherapy response. However, the culprits that link CAFs to immunotherapy resistance are still rarely investigated in real-world studies.

OBJECTIVES

This study aims to systematically assess the landscape of fibroblasts in cancer patients by combining single-cell and bulk profiling data from pan-cancer cohorts. We further sought to decipher the expression, survival predictive value and association with immunotherapy response of biglycan (BGN), a proteoglycan in the extracellular matrix, in multiple cohorts.

METHODS

Pan-cancer tumor bulks and 27 single-cell RNA sequencing cohorts were enrolled to investigate the correlations and crosstalk between CAFs and tumor or immune cells. Specific secreting factors of CAFs were then identified by expression profiling at tissue microdissection, isolated primary fibroblasts and single-cell level. The role of BGN was further dissected in additional three bulk and five single-cell profiling datasets from immunotherapy cohorts and validated in real-world patients who have received PD-1 blockade using immunohistochemistry and immunofluorescence.

RESULTS

CAFs were closely correlated with immune components. Frequent crosstalk between CAFs and other cells was revealed by the CellChat analysis. Single-cell regulatory network inference and clustering identified common and distinct regulators for CAFs across cancers. The BGN was determined to be a specific secreting factor of CAFs. The BGN served as an unfavourable indicator for overall survival and immunotherapy response. In the real-world immunotherapy cohort, patients with high BGN levels presented a higher proportion of poor response compared with those with low BGN (46.7% vs. 11.8%) and a lower level of infiltrating CD8+ T cells was also observed.

CONCLUSIONS

We highlighted the importance of CAFs in the tumor microenvironment and revealed that the BGN, which is mainly derived from CAFs, may be applicable in clinical practice and serve as a therapeutic target in immunotherapy resistance.

Comparison of clinicopathological characteristics and response to neoadjuvant chemotherapy between HER2-low and HER2-zero breast cancer

Novel anti-HER2 antibody-drug conjugates trastuzumab deruxtecan (DS-8201a) showed its effect in previously-treated HER2-low metastatic breast cancer, suggesting a promising future in HER2-low breast cancer. We retrospectively reviewed the clinicopathological data of 325 patients with stage I-III HER2 negative breast cancer who received neoadjuvant chemotherapy in the First Affiliated Hospital of Sun Yat-sen University from January 2016 to June 2021. In general, 91 patients (28.0%) were HER2-zero, and 234 patients (72.0%) were HER2-low. The pathological complete response (pCR) rate of the entire cohort was 17.3%. The pCR rate was 16.7% in HER2-low group, and 18.9% in HER2-zero group, showing no significant difference. Patients with HER2-low tumors had significantly longer overall survival (OS) than patients with HER2-zero tumors. ER status was the affecting factor of OS in HER2-low patients in both univariate and multivariate analysis. In conclusion, evidence for HER2-low BC as a distinct entity is insufficient, and more efforts are needed to standardize the scoring of HER2-low breast cancer.

Molecular evolution of human coronavirus-NL63, -229E, -HKU1 and -OC43 in hospitalized children in China

Human coronaviruses (HCoVs) HCoV-NL63, HCoV-229E, HCoV-HKU1 and HCoV-OC43 have been circulated in the human population worldwide, and they are associated with a broad range of respiratory diseases with varying severity. However, there are neither effective therapeutic drugs nor licensed vaccines available for the treatment and prevention of infections by the four HCoVs. In this study, we collected nasopharyngeal aspirates of children hospitalized for respiratory tract infection in China during 2014-2018 and conducted next-generation sequencing. Sequences of four HCoVs were then selected for an in-depth analysis. Genome sequences of 2 HCoV-NL63, 8 HCoV-229E, 2 HCoV-HKU1, and 6 HCoV-OC43 were obtained. Based on the full-length S gene, a strong temporal signal was found in HCoV-229E and the molecular evolutionary rate was 6 × 10^-4 substitutions/site/year. Based on the maximum-likelihood (ML) phylogenetic tree of complete S gene, we designated H78 as a new sub-genotype C2 of HCoV-HKU1, and the obtained P43 sequence was grouped into the reported novel genotype K of HCoV-OC43 circulating in Guangzhou, China. Based on the complete genome, potential recombination events were found to occur as two phenomena, namely intraspecies and interspecies. Moreover, we observed two amino acid substitutions in the S1 subunit of obtained HCoV-NL63 (G534V) and HCoV-HKU1 (H512R), while residues 534 and 512 are important for the binding of angiotensin-converting enzyme 2 and neutralizing antibodies, respectively. Our findings might provide a clue for the molecular evolution of the four HCoVs and help in the early diagnosis, treatment and prevention of broad-spectrum HCoV infection.

Quantification of ferroptosis pathway status revealed heterogeneity in breast cancer patients with distinct immune microenvironment

Clinical significance and biological functions of the ferroptosis pathway were addressed in all aspect of cancer regarding multi-omics level; however, the overall status of ferroptosis pathway alteration was hard to evaluate. The aim of this study is to comprehensively analyze the putative biological, pathological, and clinical functions of the ferroptosis pathway in breast cancer on a pathway level. By adopting the bioinformatic algorithm “pathifier”, we quantified five programmed cell death (PCD) pathways (KO04210 Apoptosis; KO04216 Ferroptosis; KO04217 Necroptosis; GO:0070269 Pyroptosis; GO:0048102 Autophagic cell death) in breast cancer patients, and we featured the clinical characteristics and prognostic value of each pathway in breast cancer and found significantly activated PCD in cancer patients, among which ferroptosis demonstrated a significant correlation with the prognosis of breast cancer. Correlation analysis between PCD pathways identified intra-tumor heterogeneity of breast cancer. Therefore, clustering of patients based on the status of PCD pathways was done. Comparisons between subgroups highlighted specifically activated ferroptosis in cluster 2 patients, which showed the distinct status of tumor immunity and microenvironment from other clusters, indicating putative correlations with ferroptosis. NDUFA13 was identified and selected as a putative biomarker for cluster 2 patients. Experimental validations were executed on cellular level and NDUFA13 showed an important role in regulating ferroptosis activation and can work as a biomarker for ferroptosis pathway status. In conclusion, the status of the ferroptosis pathway significantly correlated with the clinical outcomes and intra-tumor heterogeneity of breast cancer, and NDUFA13 expression was identified as a positive biomarker for ferroptosis pathway activation in breast cancer patients.

Pulmonary thromboembolic disease or pulmonary artery intimal sarcoma: Case report and literature review

The present case study reported on a patient initially diagnosed with pulmonary embolism at the First Affiliated Hospital of Fujian Medical University (Fuzhou, China) in May 2021. Furthermore, a relevant literature review was performed. The patient was a 57-year-old Chinese male who presented with dyspnea and wheezing following exercise. Physical examination revealed pulmonary valve second heart sound > aortic valve second heart sound but lack of swelling on both lower limbs, while the imaging results suggested pulmonary artery filling defects. Initially, the patient was diagnosed with pulmonary embolism and was administered anticoagulation treatment, which lasted for 3 months but proved to be ineffective. Subsequent re-examination via chest computed tomography further indicated multiple nodules in the left hilum and lung. Therefore, the patient was hospitalized for lung aspiration biopsy, which led to the final diagnosis of pulmonary artery intimal sarcoma based on the pathological review.

Understanding diagnostic pathways in systemic sclerosis and systemic sclerosis-associated interstitial lung disease: A retrospective cohort study

Systemic sclerosis-associated interstitial lung disease (SSc-ILD) is usually detected in a patient known to have SSc but may be diagnosed prior to SSc. We probed an insurance database to investigate documentation of ILD prior to SSc. Using Optum's Clinformatics® Data Mart Database, we identified patients with an SSc index date between January 1, 2010, and September 30, 2015, based on International Classification of Diseases (ICD)-9-Clinical Modification (CM) codes, ≥2 medical claims associated with SSc on different dates within 1 year, and ≥3 years of continuous enrollment prior to SSc index date (ICD-9-CM cohort). We identified an ICD-10-CM cohort comprising patients with an SSc index date between October 1, 2017, and June 30, 2019, based on ICD-10-CM codes, ≥2 medical claims associated with SSc on different dates within 1 year, and ≥2 years of continuous enrollment prior to SSc index date. ILD was defined as ≥2 medical claims associated with ILD on different dates. The ICD-9-CM and ICD-10-CM cohorts comprised 1779 and 1032 patients, respectively. In these cohorts, respectively, 7.6% and 9.3% of patients had their second medical claim associated with ILD prior to their SSc index date, and 4.3% and 5.6% of patients had their second medical claim associated with ILD >1 year prior to the SSc index date. In this analysis, 4% to 6% of patients with SSc had claims for ILD >1 year prior to a claim for SSc. These data show that SSc can affect the lung early and demonstrate the importance of screening patients with SSc for ILD and patients with ILD for SSc.

Development of a screening algorithm for borderline personality disorder using electronic health records

Borderline personality disorder (BoPD or BPD) is highly prevalent and characterized by reactive moods, impulsivity, behavioral dysregulation, and distorted self-image. Yet the BoPD diagnosis is underutilized and patients with BoPD are frequently misdiagnosed resulting in lost opportunities for appropriate treatment. Automated screening of electronic health records (EHRs) is one potential strategy to help identify possible BoPD patients who are otherwise undiagnosed. We present the development and analytical validation of a BoPD screening algorithm based on routinely collected and structured EHRs. This algorithm integrates rule-based selection and machine learning (ML) in a two-step framework by first selecting potential patients based on the presence of comorbidities and characteristics commonly associated with BoPD, and then predicting whether the patients most likely have BoPD. Leveraging a large-scale US-based de-identified EHR database and our clinical expert’s rating of two random samples of patient EHRs, results show that our screening algorithm has a high consistency with our clinical expert’s ratings, with area under the receiver operating characteristic (AUROC) 0.837 [95% confidence interval (CI) 0.778–0.892], positive predictive value 0.717 (95% CI 0.583–0.836), accuracy 0.820 (95% CI 0.768–0.873), sensitivity 0.541 (95% CI 0.417–0.667) and specificity 0.922 (95% CI 0.880–0.960). Our aim is, to provide an additional resource to facilitate clinical decision making and promote the development of digital medicine.

LINC01194 recruits NUMA1 to promote ubiquitination of RYR2 to enhance malignant progression in triple-negative breast cancer

Long intergenic nonprotein coding RNA 1194 (LINC01194) has been reported as an oncogene in several cancer types, but its expression and potential role in triple-negative breast cancer (TNBC) are still unclear. We found that LINC01194 was significantly highly expressed in TNBC based on The Cancer Genome Atlas (TCGA) database. Data from in vitro experiments and in vivo assays demonstrated that LINC01194 promoted TNBC progression. Through bioinformatics prediction, mass spectrometry, and mechanical experiments, we found that LINC01194 could recruit nuclear mitotic apparatus protein 1 (NUMA1) to bind to the untranslated region (3'UTR) of ubiquitin-conjugating enzyme E2 C (UBE2C) 3' and stabilize UBE2C mRNA. Moreover, we found that UBE2C acted as an ubiquitin ligase to promote the ubiquitination and degradation of ryanodine receptor type 2 (RYR2) that inhibited the progression of TNBC by inhibiting the Wnt/β-catenin signaling pathway. In summary, LINC01194 activate the Wnt/β-catenin signaling pathway and accelerates the malignant progression of TNBC by recruiting NUMA1 to stabilize UBE2C mRNA and thus promotes RYR2 ubiquitination and degradation. These findings might provide a more effective therapeutic strategy for TNBC patients.

Abstract 5697: Targeting PARP inhibitor resistance with Polθ inhibitors

To target DNA repair vulnerabilities in cancer, we discovered nanomolar potent, selective, low molecular weight (MW), allosteric inhibitors of the polymerase function of DNA polymerase Polθ, including ART558. ART558 inhibits the major Polθ-mediated DNA repair process, Theta-Mediated End Joining (TMEJ), without targeting Non-Homologous End Joining. Moreover, we show that exposure to ART558 can elicit DNA damage and synthetic lethality in BRCA1- or BRCA2-mutant tumor cells and enhances the effects of a PARP inhibitor. Genetic perturbation screening revealed that defects in the 53BP1/Shieldin complex, which are a cause of PARP inhibitor resistance, result in in vitro and in vivo sensitivity to Polθ polymerase inhibitors. Mechanistically, ART558 increases biomarkers of single-stranded DNA and synthetic lethality in 53BP1-defective cells. The inhibition of DNA nucleases that promote end-resection, such as Exo1 or Blm-Dna2 reversed these effects, implicating these in the synthetic lethal mechanism-of-action. Taken together, these observations describe a drug class that elicits BRCA-gene synthetic lethality and PARP inhibitor synergy, as well as targeting a biomarker-defined mechanism of PARPi-resistance.

Citation Format: Diana Zatreanu, Helen Robinson, Omar Alkhatib, Marie Boursier, Harry Finch, Lerin Geo, Diego Grande, Vera Grinkevich, Robert Heald, Sophie Langdon, Jayesh Majithiya, Claire McWhirter, Niall Martin, Shaun Moore, Joana Neves, Eeson Rajendra, Marco Ranzani, Theresia Schaedler, Martin Stockley, Kimberley Wiggins, Rachel Brough, Sandhya Sridhar, Aditi Gulati, Nan Shao, Luted Badder, Daniela Novo, Eleanor Knight, Rebecca Marlow, Syed Haider, Elsa Callen, Graeme Hewitt, Joost Schimmel, Remko Prevo, Christina Alli, Amanda Ferdinand, Cameron Bell, Peter Blencowe, Chris Bot, Mathew Calder, Mark Charles, Jayne Curry, Tennyson Ekwuru, Andre Nussenzweig, Marcel Tijsterman, Andrew N. Tutt, Simon Boulton, Geoff Higgins, Stephen J. Pettitt, Graeme C. Smith, Christopher J. Lord. Targeting PARP inhibitor resistance with Polθ inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5697.

Isoginkgetin inhibits inflammatory response in the fibroblast-like synoviocytes of rheumatoid arthritis by suppressing matrix metallopeptidase 9 expression

Inflammatory and invasive fibroblast-like synoviocytes (FLS) contribute to the pathology of rheumatoid arthritis (RA). Isoginkgetin (IGKG) has been identified as having anti-inflammatory properties. This study investigated whether IGKG could be utilized to treat RA. Primary FLS were isolated from synovial tissues derived from six RA patients, which were over-expressed with matrix metallopeptidase 9 and cultured with or without tumor necrosis factor (TNF)-α and then further treated with IGKG. IGKG down-regulated the content of various interleukins (ILs), namely, IL-1β, IL-6, and IL-8, in RA-FLS supernatant with or without TNF-α stimulation, with diminished migration and invasion properties as assayed by the transwell system. Furthermore, down-regulated inflammatory cytokine secretion and down-regulated migration and invasion properties could be reversed through matrix metallopeptidase 9 overexpression. Dual-luciferase reporter gene assay indicated that IGKG could inhibit nuclear factor kappa B transcription activity. Western blot analysis also demonstrated that IGKG down-regulated the expression of p-IκBα, p-p65, and MMP9. IGKG displayed the ability to inhibit the inflammatory response of RA-FLS through the NF-κB/MMP9 pathway with diminished migration and invasion.

DLGAP1-AS2 promotes estrogen receptor signalling and confers tamoxifen resistance in breast cancer

BACKGROUND

Tamoxifen is a first-line endocrine agent and is often used to treat estrogen receptor-positive (ER+) breast cancer. Unfortunately, approximately 30-40% of patients who received tamoxifen therapy experience recurrence or progression to a fatal advanced stage due to tamoxifen resistance. However, the mechanisms of tamoxifen resistance remain unclear.

METHODS

The expression of lncRNA DLGAP1 antisense RNA 2 (DLGAP1-AS2) was detected by qPCR. The effect of DLGAP1-AS2 on tamoxifen resistance was evaluated by MTT, colony formation, TUNEL and flow cytometric assays. The mechanisms by which DLGAP1-AS2 regulates tamoxifen resistance were investigated through qPCR, RNA pull-down assays and RNA immunoprecipitation (RIP) assays.

RESULTS

Our results showed that DLGAP1-AS2 is significantly upregulated in breast cancer and that tamoxifen can induce DLGAP1-AS2 expression. Further investigation suggested that upregulation of DLGAP1-AS2 can increase cell viability and inhibit apoptosis, while downregulation of DLGAP1-AS2 results in the opposite effects. Mechanistically, DLGAP1-AS2 can bind to the AFF3 protein to inhibit its degradation, which further promotes ER signalling.

CONCLUSIONS

Our research clarified that DLGAP1-AS2 promotes ER signalling to induce tamoxifen resistance and that targeting DLGAP1-AS2 might be a promising strategy to overcome tamoxifen resistance in breast cancer.

[Correlation analysis of smell and taste loss with COVID-19 outbreak trend based on big data of internet]

Objective: To analyze the correlation between loss of smell/taste and the number of real confirmed cases of coronavirus disease 2019 (COVID-19) worldwide based on Google Trends data, and to explore the guiding role of smell/taste loss for the COVID-19 prevention and control. Methods: "Loss of smell" and "loss of taste" related keywords were searched in the Google Trends platform, the data were obtained from Jan. 1 2019 to Jul. 11 2021. The daily and newly confirmed COVID-19 case number were collected from World Health Organization (WHO) since Dec. 30 2019. All data were statistically analyzed by SPSS 23.0 software. The correlation was finally tested by Spearman correlation analysis. Results: A total of data from 80 weeks were collected. The retrospective analysis was performed on the new trend of COVID-19 confirmed cases in a total of 186 292 441 cases worldwide. Since the epidemic of COVID-19 was recorded on the WHO website, the relative searches related to loss of smell/taste in the Google Trends platform had been increasing globally. The global relative search volumes of "loss of smell" and "loss of taste" on Google Trends was 10.23±2.58 and 16.33±2.47 before the record of epidemic while 80.25±39.81 and 80.45±40.04 after (t value was 8.67, 14.43, respectively, both P<0.001). In the United States and India, the relative searches for "loss of smell" and "loss of taste" after the record of epidemic were also much higher than before (all P<0.001). The correlation coefficients between the trend of weekly new COVID-19 cases and the Google Trends of "loss of smell" in the global, United States, and India was 0.53, 0.76, and 0.82 respectively (all P<0.001), the correlation coefficients with Google Trends of "loss of taste" was 0.54, 0.78, and 0.82 respectively (all P<0.001). The lowest and highest point of loss of smell/taste search curves of Google Trends in different periods appeared 7 to 14 days earlier than that of the weekly newly COVID-19 confirmed cases curves, respectively. Conclusions: There is a significant positive correlation between the number of newly confirmed cases of COVID-19 worldwide and the amount of keywords, such as "loss of smell" and "loss of taste", retrieved in Google Trends. The trend of big data based on Google Trends might predict the outbreak trend of COVID-19 in advance.

Abstract P056: Polθ inhibitors elicit BRCA-gene synthetic lethality and target PARP inhibitor resistance

To target DNA repair vulnerabilities in cancer, we discovered nanomolar potent, selective, low molecular weight, allosteric inhibitors of the polymerase function of DNA polymerase Theta (Polθ), including ART558. ART558 inhibits the major Polθ-mediated DNA repair process, Theta-Mediated End Joining (TMEJ), without targeting Non-Homologous End Joining. Moreover, we show that exposure to ART558 can elicit DNA damage and synthetic lethality in BRCA1- or BRCA2-mutant tumour cells and enhances the effects of a PARP inhibitor. Genetic perturbation screening revealed that defects in the 53BP1/Shieldin complex, which are a cause of PARP inhibitor resistance, result in in vitro and in vivo sensitivity to Polθ polymerase inhibitors. Mechanistically, ART558 increases biomarkers of single-stranded DNA and synthetic lethality in 53BP1-defective cells. The inhibition of DNA nucleases that promote end-resection reversed these effects, suggesting that resection via Exo1 or Blm-Dna2 being a cause, at least in part, of the ART558 sensitivity phenotype. Taken together, these observations describe a drug class that elicits BRCA-gene synthetic lethality and PARP inhibitor synergy, as well as targeting a biomarker-defined mechanism of PARPi-resistance.

Citation Format: Diana A. Zatreanu, Helen M. R. Robinson, Omar Alkhatib, Marie Boursier, Harry Finch, Lerin Geo, Diego Grande, Vera Grinkevich, Robert Heald, Sophie Langdon, Jayesh Majithiya, Claire McWhirter, Niall M. B. Martin, Shaun Moore, Joana Neves, Eeson Rajendra, Marco Ranzani, Theresia Schaedler, Martin Stockley, Kimberley Wiggins, Rachel Brough, Sandhya Sridhar, Aditi Gulati, Nan Shao, Luned M Badder, Daniela Novo, Eleanor G. Knight, Rebecca Marlow, Syed Haider, Elsa Callen, Graeme Hewitt, Joost Schimmel, Remko Prevo, Christina Alli, Amanda Ferdinand, Cameron Bell, Peter Blencowe, Mathew Calder, Mark Charles, Jayne Curry, Tennyson Ekwuru, Katherine Ewings, Andre Nussenzweig, Marcel Tijsterman, Andrew Tutt, Simon J. Boulton, Geoff S. Higgins, Steve Pettitt, Graeme C. M. Smith, Christopher J. Lord. Polθ inhibitors elicit BRCA-gene synthetic lethality and target PARP inhibitor resistance [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P056.

LncRNA LGALS8-AS1 Promotes Breast Cancer Metastasis Through miR-125b-5p/SOX12 Feedback Regulatory Network

Background

Metastasis is a major factor weakening the long-term survival of breast cancer patients. Increasing evidence revealed that long non-coding RNAs (lncRNAs) were involved in the occurrence and development of breast cancer. In this study, we aimed to investigate the role of LGALS8-AS1 in the metastatic progression of breast cancer cells and its potential mechanisms.

Results

The lncRNA LGALS8-AS1 was highly expressed in breast cancer and associated with poor survival. LGALS8-AS1 functioned as an oncogenic lncRNA that promoted the metastasis of breast cancer both in vitro and in vivo. It upregulated SOX12 via competing as a competing endogenous RNA (ceRNA) for sponging miR-125b-5p and acted on the PI3K/AKT signaling pathway to promote the metastasis of breast cancer. Furthermore, SOX12, in turn, activated LGALS8-AS1 expression via direct recognition of its sequence binding enrichment motif on the LGALS8-AS1 promoter, thereby forming a positive feedback regulatory loop.

Conclusion

This study manifested a novel mechanism of LGALS8-AS1 facilitating the metastasis of breast cancer. The LGALS8-AS1/miR-125b-5p/SOX12 reciprocal regulatory loop dyscrasia promoted the migration and invasion of breast cancer cells. This signaling axis could be applicable to the design of novel therapeutic strategies against this malignancy.

Malignant adenomyoepithelioma of the breast: Two case reports and review of the literature

BACKGROUND

Malignant adenomyoepithelioma (AME) of the breast is a rare tumor in which malignancy can arise from either epithelial or myoepithelial components, or from both cell types. The incidence and prognosis of malignant AME of the breast are difficult to assess due to its rarity. Therefore, the optimal treatment for this disease is still controversial.

CASE SUMMARY

We present two middle-aged women (48 and 56 years old) with malignant AME of the breast. Core needle biopsy was performed before surgery. However, breast adenoma and malignant tumors were observed. The preoperative diagnosis of malignant AME of the breast is still challenging for pathologists and clinicians. Both patients underwent mastectomy and sentinel lymph node biopsy, both of which were negative, followed by adjuvant chemotherapy.

CONCLUSION

The follow-up duration of the two patients was two years and four months, respectively. No signs of relapse or metastasis have been observed thus far.

Patient-Derived Organoids Can Guide Personalized-Therapies for Patients with Advanced Breast Cancer

Most breast cancers at an advanced stage exhibit an aggressive nature, and there is a lack of effective anticancer options. Herein, the development of patient-derived organoids (PDOs) is described as a real-time platform to explore the feasibility of tailored treatment for refractory breast cancers. PDOs are successfully generated from breast cancer tissues, including heavily treated specimens. The microtubule-targeting drug-sensitive response signatures of PDOs predict improved distant relapse-free survival for invasive breast cancers treated with adjuvant chemotherapy. It is further demonstrated that PDO pharmaco-phenotyping reflects the previous treatment responses of the corresponding patients. Finally, as clinical case studies, all patients who receive at least one drug predicate to be sensitive by PDOs achieve good responses. Altogether, the PDO model is developed as an effective platform for evaluating patient-specific drug sensitivity in vitro, which can guide personal treatment decisions for breast cancer patients at terminal stage.

Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer

Objective

To investigate whether radiomics features extracted from multi-parametric MRI combining machine learning approach can predict molecular subtype and androgen receptor (AR) expression of breast cancer in a non-invasive way.

Materials and Methods

Patients diagnosed with clinical T2–4 stage breast cancer from March 2016 to July 2020 were retrospectively enrolled. The molecular subtypes and AR expression in pre-treatment biopsy specimens were assessed. A total of 4,198 radiomics features were extracted from the pre-biopsy multi-parametric MRI (including dynamic contrast-enhancement T1-weighted images, fat-suppressed T2-weighted images, and apparent diffusion coefficient map) of each patient. We applied several feature selection strategies including the least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE), the maximum relevance minimum redundancy (mRMR), Boruta and Pearson correlation analysis, to select the most optimal features. We then built 120 diagnostic models using distinct classification algorithms and feature sets divided by MRI sequences and selection strategies to predict molecular subtype and AR expression of breast cancer in the testing dataset of leave-one-out cross-validation (LOOCV). The performances of binary classification models were assessed via the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). And the performances of multiclass classification models were assessed via AUC, overall accuracy, precision, recall rate, and F1-score.

Results

A total of 162 patients (mean age, 46.91 ± 10.08 years) were enrolled in this study; 30 were low-AR expression and 132 were high-AR expression. HR+/HER2− cancers were diagnosed in 56 cases (34.6%), HER2+ cancers in 81 cases (50.0%), and TNBC in 25 patients (15.4%). There was no significant difference in clinicopathologic characteristics between low-AR and high-AR groups (P > 0.05), except the menopausal status, ER, PR, HER2, and Ki-67 index (P = 0.043, <0.001, <0.001, 0.015, and 0.006, respectively). No significant difference in clinicopathologic characteristics was observed among three molecular subtypes except the AR status and Ki-67 (P = <0.001 and 0.012, respectively). The Multilayer Perceptron (MLP) showed the best performance in discriminating AR expression, with an AUC of 0.907 and an accuracy of 85.8% in the testing dataset. The highest performances were obtained for discriminating TNBC vs. non-TNBC (AUC: 0.965, accuracy: 92.6%), HER2+ vs. HER2− (AUC: 0.840, accuracy: 79.0%), and HR+/HER2− vs. others (AUC: 0.860, accuracy: 82.1%) using MLP as well. The micro-AUC of MLP multiclass classification model was 0.896, and the overall accuracy was 0.735.

Conclusions

Multi-parametric MRI-based radiomics combining with machine learning approaches provide a promising method to predict the molecular subtype and AR expression of breast cancer non-invasively.

Thioredoxin-interacting protein (TXNIP) as a target for Alzheimer's disease: flavonoids and phenols

Alzheimer's disease (AD) is a neurodegenerative disease characterized by amyloid plaques and tangles that have become the fifth leading cause of death worldwide. Previous studies have found that thioredoxin interacting protein (TXNIP) expression was increased during the development of AD neurons. TXNIP separates from the TXNIP-thioredoxin complex, and the TXNIP-NLRP3 complex assembles ASC and pro-caspase-1 to form the NLRP3 inflammasome, which triggers AD inflammation and apoptosis. CB-dock was used to explore whether 21 natural flavonoids and phenols target TXNIP based on references. Docking results showed that rutin, puerarin, baicalin, luteolin and quercetin are the most potent TXNIP inhibitors, and among them, rutin as the most effective flavonoid. And rosmarinic acid is the most potent TXNIP inhibitor of phenols. These phytochemicals could be helpful to find the lead compounds in designing and developing novel agents for Alzheimer's disease.

Genetic Characteristics of Human Parainfluenza Virus Types 1-4 From Patients With Clinical Respiratory Tract Infection in China

Human parainfluenza viruses (HPIV1–4) cause acute respiratory tract infections, thereby impacting human health worldwide. However, there are no current effective antivirals or licensed vaccines for infection prevention. Moreover, sequence information for human parainfluenza viruses (HPIVs) circulating in China is inadequate. Therefore, to shed light on viral genetic diversity and evolution, we collected samples from patients infected with HPIV1–4 in China from 2012 to 2018 to sequence the viruses. We obtained 24 consensus sequences, comprising 1 for HPIV1, 2 for HPIV2, 19 for HPIV3, and 2 for HPIV4A. Phylogenetic analyses classified the 1 HPIV1 into clade 2, and the 2 HPIV4 sequences into cluster 4A. Based on the hemagglutinin-neuraminidase (HN) gene, a new sub-cluster was identified in one of the HPIV2, namely G1c, and the 19 HPIV3 sequences were classified into the genetic lineages of C3f and C3a. The results indicated that HPIV1–4 were co-circulated in China. Further, the lineages of sub-cluster C3 of HPIV3 were co-circulated in China. A recombination analysis indicated that a putative recombination event may have occurred in the HN gene of HPIV3. In the obtained sequences of HPIV3, we found that two amino acid substitution sites (R73K in the F protein of PUMCH14028/2014 and A281V in the HN protein of PUMCH13961/2014) and a negative selection site (amino acid position 398 in the F protein) corresponded to the previously reported neutralization-related sites. Moreover, amino acid substitution site (K108E) corresponded to the negative selection site (amino acid position 108) in the 10 F proteins of HPIV3. However, no amino acid substitution site corresponded to the glycosylation site in the obtained HPIV3 sequences. These results might help in studying virus evolution, developing vaccines, and monitoring HPIV-related respiratory diseases.

Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer

Aim: After neoadjuvant chemotherapy (NACT), tumor shrinkage pattern is a more reasonable outcome to decide a possible breast-conserving surgery (BCS) than pathological complete response (pCR). The aim of this article was to establish a machine learning model combining radiomics features from multiparametric MRI (mpMRI) and clinicopathologic characteristics, for early prediction of tumor shrinkage pattern prior to NACT in breast cancer.

Materials and Methods: This study included 199 patients with breast cancer who successfully completed NACT and underwent following breast surgery. For each patient, 4,198 radiomics features were extracted from the segmented 3D regions of interest (ROI) in mpMRI sequences such as T1-weighted dynamic contrast-enhanced imaging (T1-DCE), fat-suppressed T2-weighted imaging (T2WI), and apparent diffusion coefficient (ADC) map. The feature selection and supervised machine learning algorithms were used to identify the predictors correlated with tumor shrinkage pattern as follows: (1) reducing the feature dimension by using ANOVA and the least absolute shrinkage and selection operator (LASSO) with 10-fold cross-validation, (2) splitting the dataset into a training dataset and testing dataset, and constructing prediction models using 12 classification algorithms, and (3) assessing the model performance through an area under the curve (AUC), accuracy, sensitivity, and specificity. We also compared the most discriminative model in different molecular subtypes of breast cancer.

Results: The Multilayer Perception (MLP) neural network achieved higher AUC and accuracy than other classifiers. The radiomics model achieved a mean AUC of 0.975 (accuracy = 0.912) on the training dataset and 0.900 (accuracy = 0.828) on the testing dataset with 30-round 6-fold cross-validation. When incorporating clinicopathologic characteristics, the mean AUC was 0.985 (accuracy = 0.930) on the training dataset and 0.939 (accuracy = 0.870) on the testing dataset. The model further achieved good AUC on the testing dataset with 30-round 5-fold cross-validation in three molecular subtypes of breast cancer as following: (1) HR+/HER2–: 0.901 (accuracy = 0.816), (2) HER2+: 0.940 (accuracy = 0.865), and (3) TN: 0.837 (accuracy = 0.811).

Conclusions: It is feasible that our machine learning model combining radiomics features and clinical characteristics could provide a potential tool to predict tumor shrinkage patterns prior to NACT. Our prediction model will be valuable in guiding NACT and surgical treatment in breast cancer.

Abstract 813: Clinical significance of pathogenic variants in germline BRCA1/2 wild type patients at risk for hereditary breast cancer

Objectives: Approximately, 5-10% of breast cancer (BC) are related to inherited germline mutations. Homologous recombination repair (HRR) of DNA is the most important theory in hereditary cancer, in which BRCA1/2 are the most recognized and tested genes. Genetic testing for hereditary BC has changed significantly. Increasing evidence suggests parallel multigene testing of HRR gene.

Methods: NGS-based germline multigene-panel testing of 105 HRR gene was performed on 159 high risk BC patients with at least one of the following risk factors: triple negative BC, early onset (≤45y), family history of BC and bilateral BC. Capture-base targeted sequencing was performed on white blood cells using a panel consisting of 105 genes related to homologous recombination repair of DNA.

Results: Among the 159 patients of median age 40, All the patients had early stage infiltrating ductal carcinoma. 12 patients (7.55%) had pathogenic BRCA1/2 mutation. We investigated the prevalence of 21 pathogenic germline pathogenic mutations beyond BRCA1/2 from 21 patients spanning 13 HRR genes, resulting in a prevalence rate of 13.21% for pathogenic germline mutations in high risk germline BRCA1/2 WT BC patients. PALB2 is the most common gene with pathogenic mutation (n=5). In these 21 patients, 18 (85.71%) were diagnosed with BC before the age of 45, within 7 patients (33.33%) even younger than 35 years old. 7 of them (33.33%) had bilateral BC; one had triple negative BC (4.76%) and 5 patient (23.81%) had a family history of BC. Nearly half of the patients (n=9) presented at least 2 of the risk factors.

Conclusions: Our study confirms the clinical significance of testing non-BRCA genes, and suggests multigene panel testing for patients at risk for hereditary BC as a routine in patients with those risk factors, especially young and bilateral BC patients even without family history of BC.

Citation Format: Xiaying Kuang, Nan Shao, Ying Lin. Clinical significance of pathogenic variants in germline BRCA1/2 wild type patients at risk for hereditary breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 813.

Polθ inhibitors elicit BRCA-gene synthetic lethality and target PARP inhibitor resistance

To identify approaches to target DNA repair vulnerabilities in cancer, we discovered nanomolar potent, selective, low molecular weight (MW), allosteric inhibitors of the polymerase function of DNA polymerase Polθ, including ART558. ART558 inhibits the major Polθ-mediated DNA repair process, Theta-Mediated End Joining, without targeting Non-Homologous End Joining. In addition, ART558 elicits DNA damage and synthetic lethality in BRCA1- or BRCA2-mutant tumour cells and enhances the effects of a PARP inhibitor. Genetic perturbation screening revealed that defects in the 53BP1/Shieldin complex, which cause PARP inhibitor resistance, result in in vitro and in vivo sensitivity to small molecule Polθ polymerase inhibitors. Mechanistically, ART558 increases biomarkers of single-stranded DNA and synthetic lethality in 53BP1-defective cells whilst the inhibition of DNA nucleases that promote end-resection reversed these effects, implicating these in the synthetic lethal mechanism-of-action. Taken together, these observations describe a drug class that elicits BRCA-gene synthetic lethality and PARP inhibitor synergy, as well as targeting a biomarker-defined mechanism of PARPi-resistance.

Abstract PS18-44: Simvastatin induces ferroptosis in breast cancer cells by inhibiting GPX4 and sensitizes chemotherapy

Background The incidence of breast cancer ranks the first among female malignant tumors. Although the effect of breast cancer treatment strategies has been very ideal and the mortality rate of breast cancer has decreased, some patients are still not sensitive to these, which eventually leads to rapid recurrence, metastasis and poor prognosis. Ferroptosis is a kind of Regulated cell death, which induced by accumulation of lipid peroxidation products and Reactive Oxygen Species (ROS). It is quite different from apoptosis and autophagy in cell morphological characteristics and biochemical indicators. According to the latest studies, ferroptosis can reduce the activity of GPX4 (Gutathione Peroxidase 4) in cells and accumulate ROS and lipid Peroxidase products through iron metabolism, ROS metabolism, amino acid metabolism and lipid metabolism, etc., thus causing ferroptosis. Ferroptosis is a hotspot in the study of drug resistance and metastasis of breast cancer. Simvastatin is a kind of commonly used oral cholesterol-lowering drugs, belongs to the HMG CoA reductase inhibitors. Some clinical studies have shown that statins can reduce the risk of a variety of cancers, including breast cancer, and the risk of recurrence. Other basic experiment show lipophilic statins have anti-cancer effect. Simvastatin is the most lipophilic of all statins in use. Recent studies have found that simvastatin can be used in combination with docetaxel to enhance the effect of chemotherapy in prostate cancer, but has not been reported in breast cancer. In this study, we investigated whether simvastatin could induce ferroptosis in breast cancer by inhibiting GPX4 and play the role of chemotherapy sensitization in combination with docetaxel. Methods (1) CCK8 assay was used for cell proliferation in vitro by simvastatin and docetaxel in breast cancer cells MDA-MB-231 and MCF-7. (2) The anti-cancer effect of simvastatin in vivo was verified by xenograft experiments in nude mice. (3) GPX4 mRNA and protein levels were detected by qPCR and Western blot. (4) GPXs activity test, ROS level test and MDA level test were used for ferroptosis detection.(5) the expression of ferroptosis-related genes ACSL4, PTGS2 and NOX1 was detected by qPCR.(6) anti-tumor effect of simvastatin combined with docetaxel in breast cancer cells mda-mb-231 and McF-7 was detected in vitro by CCK8 method.(7) By MDA-MB-231 tumor xenograft models surveyed anti-tumor activity of simvastatin and docetaxel. Results CCK8 results showed that simvastatin significantly inhibited cell proliferation in breast cancer cells MDA-MB-231 and MCF-7 (P&lt;0.001), with the IC50 values of MDA-MB-231 was 4.67um and MCF-7 was 81.53um,. In the xenograft experiments of nude mice, it was found that compared with the control group, the tumor volume of the simvastatin group was significantly reduced. In qPCR and Western blot, simvastatin was found to significantly inhibit GPX4 mRNA and protein expression. Compared with the control group, in breast cancer cells MDA-MB-231 and MCF-7, simvastatin can reduce the activity of GPXs and increase the level of ROS and MDA, thus causing ferroptosis in breast cancer cells. qPCR showed that ferroptosis -related gene ACSL4 and PTGS2, which are related to lipid metabolism, and ROS metabolism were significantly increased. In the xenograft experiments of nude mice, it was found that compared with the control group and the single drug group, the tumor volume of simvastatin combined with docetaxel group was significantly reduced. Conclusion Simvastatin can inhibit the proliferation of breast cancer cells both in vivo and in vitro, inhibit the expression of breast cancer cell MDA-MB-231 and MCF-7 GPX4, and induce ferroptosis. Besides, simvastatin sensitizes the effect of docetaxel.

Citation Format: Sihong Lu, Nan Shao, Jong Bi, Ying Lin. Simvastatin induces ferroptosis in breast cancer cells by inhibiting GPX4 and sensitizes chemotherapy [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS18-44.

Interleukin-8 Promotes Epithelial-to-Mesenchymal Transition via Downregulation of Mir-200 Family in Breast Cancer Cells

The microRNA-200 (miR-200) family has been reported to be vital for the inhibition of epithelial-to-mesenchymal transition (EMT) in tumor cells. The miR-200 family represents a complex multi-factorial regulatory network which has not been well described in breast cancer. This study aimed to clarify the underlying regulatory association between IL-8 and miR-200 family in the process of EMT in breast cancer cell. In estrogen-receptor (ER) positive breast cancer cell line MCF-7, IL-8 overexpression cells were performed by lentivirus transfection as endogenous regulation with additional exogenous IL-8 stimulation. Transient overexpressions of miR-200 family were performed after endogenous or exogenous IL-8 overexpression in MCF-7 cells. IL-8 knockdown cells were constructed via siRNA and shRNA transfection in triple negative breast cancer cell line MDA-MB-231. N-cadherin, vimentin and ZEB2 were down-regulated and E-cadherin was up-regulated in IL-8 knockdown group compared with control group. On the other hand, N-cadherin, vimentin and ZEB2 were up-regulated and E-cadherin was down-regulated in IL-8 overexpression group compared with control group. This indicated IL-8 promotes EMT in breast cancer cells. Transwell assay showed that IL-8 increased the migration and invasiveness of tumor cells. Furthermore, we performed transient overexpression of miR-200 family after endogenous or exogenous IL-8 overexpression in MCF-7 cells, which showed that the miR-200 family could inhibit EMT induced by IL-8. IL-8 promoted EMT via downregulation of miR-200 family expression in breast cancer cells and increases tumor cell migration and invasion.

An Optimized Metagenomic Approach for Virome Detection of Clinical Pharyngeal Samples With Respiratory Infection

Respiratory virus infections are one of the major causes of acute respiratory disease or exacerbation of chronic obstructive pulmonary disease (COPD). However, next-generation sequencing has not been used for routine viral detection in clinical respiratory samples owing to its sophisticated technology. Here, several pharyngeal samples with COPD were collected to enrich viral particles using an optimized method (M3), which involved M1 with centrifugation, filtration, and concentration, M2 (magnetic beads) combined with mixed nuclease digestion, and M4 with no pretreatment as a control. Metagenomic sequencing and bioinformatics analyses showed that the M3 method for viral enrichment was superior in both viral sequencing composition and viral taxa when compared to M1, M2, and M4. M3 acquired the most viral reads and more complete sequences within 15-h performance, indicating that it might be feasible for viral detection in multiple respiratory samples in clinical practice. Based on sequence similarity analysis, 12 human viruses, including nine Anelloviruses and three coronaviruses, were characterized. Coronavirus OC43 with the largest number of viral reads accounted for nearly complete (99.8%) genome sequences, indicating that it may be a major viral pathogen involved in exacerbation of COPD.