Xin Wang

Fudan University · School of Pharmacy

Background Patients with transplant-ineligible relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) have limited treatment options and poor outcomes. Methods This phase III study (NCT04236141) evaluated the efficacy and safety of polatuzumab vedotin plus bendamustine and rituximab (Pola+BR) versus BR in Chinese patients with transplant-in...

Background Disorders of lipid metabolism are critical factors in the progression of chronic lymphocytic leukemia (CLL). However, the characteristics of lipid metabolism and related regulatory mechanisms of CLL remain unclear. Methods Hence, we identified altered metabolites and aberrant lipid metabolism pathways in patients with CLL by ultra-high-...

Background: C-Myc rearrangement is a hallmark of high-grade B-cell lymphoma (HGBCL) and Burkitt lymphoma (BL) [1], effective treatment for relapsed/refractory disease represents an unmet need. Previous studies have demonstrated that c-Myc-driven lymphomas can be suppressed via c-Myc inhibition [2]. PC-002 (also known as Sepantronium Bromide, SepB)...

Edge computing has emerged as a powerful paradigm for efficient scheduling at the network edge to fulfill users' requirements for low latency. Edge servers' and clouds' ability to interact allows them to leverage edge servers' limited computing and storage resources collectively to handle all requests collaboratively. This has unlocked the potentia...

italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Knowledge hypergraph representation learning , which projects entities and $n$ -ary relations into a low-dimensional vector space, remains a challenging area to be explored despite the ubiquity of $n$ -ary relational facts in the real world. Curren...

The integration of Large Language Models (LLMs) with Knowledge Representation Learning (KRL) signifies a pivotal advancement in the field of artificial intelligence, enhancing the ability to capture and utilize complex knowledge structures. This synergy leverages the advanced linguistic and contextual understanding capabilities of LLMs to improve t...

Event Detection (ED) is a crucial information extraction task that aims to identify the event triggers and classify them into predefined event types. However, most existing methods did not perform well when processing events with implicit triggers. And most methods considered ED as a sentence-level task, lacking effective context for event semantic...

Purpose To investigate the associations of choline, betaine, dimethylglycine (DMG), L-carnitine, and Trimethylamine-N-oxide (TMAO) with the risk of Gestational diabetes mellitus (GDM) as well as the markers of glucose homeostasis. Methods We performed a case-control study including 200 diagnosed GDM cases and 200 controls matched by maternal age (...

Background Cerebral palsy (CP) is a unique neurological disorder which adversely affects motion. Cytokines and gut microbial composition contribute to CP and other diseases, such as reproductive tract inflammation and bone loss. Importantly, Saccharomyces boulardii (S. boulardii) reduces the degree of inflammation and improves overall health status...

Objective QL0911, a recombinant human thrombopoietin mimetic peptide-Fc fusion protein, is a romiplostim (Nplate®) biosimilar used to treat primary immune thrombocytopenia (ITP). This phase III study aimed to assess the efficacy and safety of QL0911 in adult patients with chronic primary ITP over a 24-week treatment period. Methods We conducted a...

Background: Burkitt lymphoma (BL) is one of the most aggressive B cell malignancies that is a high unmet need and characterized classically by c-Myc rearrangement. However, c-Myc is considered “undruggable” due to its structure and a lack of kinase activity. Degradation of c-Myc is mediated through the ubiquitin-proteasome system. Therefore, modula...

Temporal knowledge graph representation learning models can capture more comprehensive semantic information, which has higher practical application value and gradually attracts wide attention. However, the existing temporal knowledge graph representation learning models usually have challenges in encoding temporal information and capturing rich str...

With the deployment of modern hardware such as Flash-based SSDs and the high-speed network in distributed systems, the distributed consensus and consistency module (e.g., Raft) is typically the most time-consuming part. The reason lies in that Raft introduces some very strict constraints to ensure the linearizability. Therefore, in this paper, we r...

In recent years, Chinese pre-training language models have achieved significant improvements in the fields, such as natural language understanding (NLU) and text generation. However, most of these existing pre-trained language models focus on modern Chinese but ignore the rich semantic information embedded for Chinese characters, especially the rad...

Pre-trained language models (PLMs) have recently enabled rapid progress on sentiment classification under the pre-train and fine-tune paradigm, where the fine-tuning phase aims to transfer the factual knowledge learned by PLMs to sentiment classification. However, current fine-tuning methods ignore the risk that PLMs cause the problem of sentiment...

Reachability query is a fundamental problem and has been well studied on static graphs. However, in the real world, the graphs are not static but always evolving over time. In this paper, we study the problem of historical reachability query on evolving graphs. We propose a novel index, named HR-Index, which integrates complete and correct historic...

Link prediction in knowledge hypergraphs is essential for various knowledge-based applications, including question answering and recommendation systems. However, many current approaches simply extend binary relation methods from knowledge graphs to n-ary relations, which does not allow for capturing entity positional and role information in n-ary t...

Product matching aims to identify similar or identical products sold on different platforms, which is crucial for retailers to adjust investment strategies. By building knowledge graphs (KGs), the product matching problem can be converted to the Entity Alignment (EA) task, which aims to discover the equivalent entities from diverse KGs. This paper...

As an important cornerstone of artificial intelligence, the knowledge graph is one of the indispensable foundations of the new generation of artificial intelligence from perception to cognition. RDF graphs and property graphs are the two main data models of KGs, and various data management methods have been developed for the two models. However, di...

The goal of emotion-cause pair extraction (ECPE) is to simultaneously extract all emotion clauses and their corresponding cause clauses in a document. In most existing methods, emotion clause representations and cause clause representations are usually obtained separately and are then fed into neural networks. However, the close relationship betwee...

Product matching aims to identify identical or similar products sold on different platforms. By building knowledge graphs (KGs), the product matching problem can be converted to the Entity Alignment (EA) task, which aims to discover the equivalent entities from diverse KGs. The existing EA methods inadequately utilize both attribute triples and rel...

In the phase 3 POLARIX study (NCT03274492), polatuzumab vedotin combined with rituximab plus cyclophosphamide, doxorubicin and prednisone (Pola-R-CHP) significantly improved progression-free survival (PFS) compared with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) with similar safety in previously untreated dif...

YT521-B homology domain family member 2 (YTHDF2) is an N ⁶ -methyladenosine (m ⁶ A)-binding protein that was originally found to regulate the stability of mRNA. Growing evidence has shown that YTHDF2 can participate in multifarious bioprocesses, including embryonic development, immune response, and tumor progression. Furthermore, YTHDF2 is closely...

Background Orelabrutinib is a novel, small molecule, selective irreversible Bruton’s tyrosine kinase inhibitor. The aim of this study was to evaluate the efficacy as well as safety in patients with refractory or relapsed chronic lymphocytic leukemia/small lymphocytic lymphoma (R/R CLL/SLL). Methods This is single-arm, multi-center, open-label, phas...

Background and aims Understanding the age-related trend of risk in high blood pressure (BP) is important for preventing heart failure and cardiovascular diseases. But such a trend is still underexplored. This study aims to (a) depict the relationship of BP patterns with age, and (b) understand the trend of high BP prevalence over time in different...

One configuration can not fit all workloads and diverse resources limitations in modern databases. Auto-tuning methods based on reinforcement learning (RL) normally depend on the exhaustive offline training process with a huge amount of performance measurements, which includes large inefficient knobs combinations under a trial-and-error method. The...

APG115 is a highly selective small-molecule inhibitor of MDM2-p53 interaction with oral activity, which restores p53 activation in patients with solid tumors in clinical trials. The Bruton tyrosine kinase inhibitor (BTKi) ibrutinib exhibits significant efficacy in chronic lymphocytic leukemia (CLL) patients including high-risk patients. However, th...

The partial evaluation and assembly framework has recently been applied for processing subgraph matching queries over large-scale knowledge graphs in the distributed environment. The framework is implemented on the master-slave architecture, endowed with outstanding scalability. However, there are two drawbacks of partial evaluation: if the volume...

Metabolic reprogramming is a hallmark of cancer progression. Metabolic activity supports tumorigenesis and tumor progression, allowing cells to uptake essential nutrients from the environment and use the nutrients to maintain viability and support proliferation. The metabolic pathways of malignant cells are altered to accommodate increased demand f...

In the social network, each user has attributes for self-description called user attributes which are semantically hierarchical. Attribute inference has become an essential way for social platforms to realize user classifications and targeted recommendations. Most existing approaches mainly focus on the flat inference problem neglecting the semanti...

Intracranial hemorrhage (ICH) is a rare and life-threatening hemorrhagic event in patients with immune thrombocytopenia (ITP). However, its mortality and related risk factors remain unclear. Herein, we conducted a nation-wide multicenter real-world study of ICH in adult ITP patients. According to data from 27 centers in China during 2005-2020, the...

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) remains a curative option for severe aplastic anemia (SAA), and transplantation from identical sibling donors (ISDs) has been recommended as a first-line treatment. Haploidentical donor (HID) transplantation for SAA has made great advances; thus, an increased role of HID-SCT in SAA shou...

Waldenström macroglobulinemia/lymphoplasmacytoid lymphoma (WM/LPL) is a rare lymphoproliferative neoplasm characterized by clonally related lymphocytes, lymphoplasmacytic cells, and plasma cell proliferation. WM/LPL patients commonly present with elevated immunoglobulin, predominantly immunoglobulin M (IgM). Previous studies reported that thyroid d...

The biological and clinical features of chronic lymphocytic leukemia (CLL) exhibited profound heterogeneity across Chinese and patients of predominately European descent. However, the age-related peculiarities and risk assessment of Chinese CLL patients remained ill-defined. The present study demonstrated that CLL patients were characterized by the...

Primary central nervous system lymphoma (PCNSL) is a rare and highly aggressive extranodal type of non-Hodgkin lymphoma. After the introduction and widespread use of high-dose-methotrexate (HD-MTX)-based polychemotherapy, treatment responses of PCNSL have been improved. However, long-term prognosis for patients who have failed first-line therapy an...

Cancer is the leading cause of death in many countries. The development of new methods for early screening of cancers is highly desired. Targeted metallomics has been successfully applied in the screening of cancers through quantification of elements in the matrix, which is time consuming and requires combined techniques for the quantification due...

With the rapid development of artificial intelligence, knowledge graphs have been widely recognized as a critical component in many AI techniques and systems. A complex knowledge graph may contain hundreds of millions of nodes and edges, thus is challenging for end-users to understand and query. In this paper, we present a knowledge grpah interacti...

Representation learning techniques for knowledge graphs (KGs) are crucial for constructing knowledge-driven decisions in complex network data application scenarios. Most existing methods focus mainly on structured information, ignoring the important value of rich ontology information constraints and complements, however, ontology information is the...

Steroid‐refractory (SR) acute graft‐versus‐host disease (aGVHD) is one of the leading causes of early mortality after allogeneic hematopoietic stem cell transplantation (allo‐HSCT). We investigated the efficacy, safety, prognostic factors, and optimal therapeutic protocol for SR‐aGVHD patients treated with basiliximab in a real‐world setting. Nine...

In recent decades, haploidentical stem cell transplantation (haplo-SCT) to treat severe aplastic anemia (SAA) has achieved remarkable progress. However, long-term results are still lacking. We conducted a prospective multicenter study involving SAA patients who underwent haplo-SCT as salvage therapy. Long-term outcomes were assessed, mainly focusin...

The mitigation of preventable readmissions is the key to enhance the quality and efficiency of healthcare services in Hong Kong’s aging society. A general predictor like factorization machine (FM) can efficiently capture non-linear interactions among patient characteristics for readmission prediction. However, FM cannot formulate local patient hete...

Numerous corrupted or noisy images are generated owing to the problems in sampling and transmission. Facing the category of high-dimensional image data, directly operating like classification is inefficient and the accuracy is normally not ideal. Consequently, dimensionality reduction is a critical process. After dimensionality reduction by classic...

The baseline International Prognostic Index (IPI) is not sufficient for the initial risk stratification of patients with diffuse large B-cell lymphoma (DLBCL) treated with R‐CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone). The aims of this study were to evaluate the prognostic relevance of early risk stratification...

RSK1, a downstream kinase of the MAPK pathway, has been shown to regulate multiple cellular processes and is essential for lytic replication of a variety of viruses, including Kaposi’s sarcoma-associated herpesvirus (KSHV). Besides phosphorylation, it is not known whether other post-translational modifications play an important role in regulating R...

Pancreatic cancer seriously threatens human health and life. Dandelion root extract (DRE) has a good inhibitory effect on pancreatic cancer cells, however, its mechanism is not clear up to now. Fourier transform infrared (FTIR) microspectroscopy can detect biomacromolecular changes sensitively. In this study, FTIR microspectroscopy was used to inve...

Chidamide has demonstrated significant clinical benefits for patients with relapsed/refractory (R/R) PTCL in previous studies. This multi-center observational study was aimed to evaluate the objective response rate (ORR), overall survival (OS), and safety of chidamide. From February 2015 to December 2017, 548 patients with R/R PTCL from 186 researc...

Angiomotin (AMOT) is a membrane protein that is aberrantly expressed in a variety of solid tumors. Accumulating evidence support that AMOT is involved in the pathological processes of tumor proliferation, apoptosis, and invasion. However, the potential role of AMOT in the pathogenesis of diffuse large B-cell lymphoma (DLBCL) remains elusive. In the...

Glycoprotein prostaglandin D2 synthase (PTGDS) is a member of the lipocalin superfamily and plays dual roles in prostaglandins metabolism and lipid transport. PTGDS has been involved in various cellular processes including the tumorigenesis of solid tumors, yet its role in carcinogenesis is contradictory and the significance of PTGDS in hematologic...

Nucleolar and spindle-associated protein 1 (NUSAP1) is an essential regulator of mitotic progression, spindle assembly, and chromosome attachment. Although NUSAP1 acts as an oncogene involved in the progression of several cancers, the exact role of chronic lymphocytic leukemia (CLL) remains elusive. Herein, we first discovered obvious overexpressio...

Knowledge Graph Construction (KGC) aims to organize and visualize knowledge, which is based on tasks of Named Entity Recognition (NER) and Relation Extraction (RE). However, the difficulty of comprehension, caused by the differences in grammars and semantics between classical and modern Chinese, makes entity and relation annotations time-consuming...

Introduction Anti-thymocyte globulin (ATG) is used prior to allogeneic hematopoietic stem cell transplantation (allo-HSCT) for graft-versus-host disease (GVHD) prophylaxis. Two different ATG doses (7.5 or 10 mg/kg) were evaluated in comparison with a group without ATG therapy. Methods We retrospectively analyzed 132 patients who were transplanted...

With the scale of RDF graph data dramatically increasing, the demands for specifying constraints on RDF graphs and detecting violations of such constraints become urgent. Recently, the validation of RDF graphs has been attracting increasing research efforts, among which ShEx (Shape Expressions) and SHACL (Shapes Constraint Language) are widely used...

Knowledge graph construction (KGC) aims to organize knowledge into a semantic network which can reveal relations between entities. Its basis is named entity recognition (NER) and relation extraction (RE) tasks. In recent years, KGC methods for Chinese have made great progress. However, most existing methods concentrate on modern Chinese and ignore...

As the internet of things (IoT) and artificial intelligence (AI) continue to evolve, it has spawned a proliferation of heterogeneous data volumes and model complexity. The centralized cloud computing can no longer meet the computing needs of an intelligent society. Currently, the development of edge computing and next-generation network technologie...

With the growing popularity and application of knowledge-based artificial intelligence, the scale of knowledge graph data is dramatically increasing. A Regular Path Query (RPQ) allows for retrieving vertex pairs with the paths between them satisfying regular expressions. As an essential type of queries for RDF graphs, RPQs have been attracting incr...

B-cell lymphoma is a group of hematological malignancies with high clinical and biological heterogeneity. The pathogenesis of B-cell lymphoma involves a complex interaction between tumor cells and the tumor microenvironment (TME), which is composed of stromal cells and extracellular matrix. Although the roles of the TME have not been fully elucidat...

Objectives: Antithymocyte globulin is extensively used for prophylaxis of graft-versus-host disease in patients undergoing haploidentical hematopoietic stem cell transplantation. However, different doses of antithymocyte globulin are administered in clinical practice. This study aimed to identify the optimal dose of antithymocyte globulin (thymogl...

Purpose: The aim of this study was to investigate the role of BIRC5 for early diagnosis and prognosis in clear-cell renal cell carcinoma (ccRCC) by studying the expression of BIRC5 and the correlation between BIRC5 expression and clinicopathological parameters and prognosis in ccRCC. Methods: The BIRC5 expression in ccRCC tissues and normal kidn...