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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1596842</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Post-marketing safety concerns with Tislelizumab: a disproportionality analysis of the FDA adverse event reporting system</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3008375/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Ding</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Cai</surname>
<given-names>Shanshan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3028604/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Bai Cheng</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3049535/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Xiufeng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2947566/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Clinical Discipline Construction Center, Graduate School of Shanxi Medical University</institution>, <addr-line>Taiyuan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Orthopedic Trauma, Zhuji People's Hospital of Zhejiang Province</institution>, <addr-line>Zhuji</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>The Department of Pulmonary and Critical Care Medicine, The Second Hospital of Jilin University</institution>, <addr-line>Changchun</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Division of Biomedical and Life Sciences, Faculty of Health and Medicine, Lancaster University</institution>, <addr-line>Lancaster</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Division of Urology, Shanxi Medical University Affiliated Lv liang Hospital</institution>, <addr-line>Lvliang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Zhenhua Chen, Jinzhou Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yiping Zou, University of Chinese Academy of Sciences, China</p>
<p>Bing Feng, Pennington Biomedical Research Center, United States</p>
<p>Valentina Chiavieri, University of Milan, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Bai Cheng Liu, <email xlink:href="mailto:lllbc186@126.com">lllbc186@126.com</email>; Xiufeng Wang, <email xlink:href="mailto:a9701132@163.com">a9701132@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="equal" id="fn004">
<p>&#x2021;These authors contributed equally to this work and share senior authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1596842</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Li, Ding, Cai, Liu and Wang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Ding, Cai, Liu and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Tislelizumab is an anti-programmed cell death protein 1(anti-PD-1) monoclonal antibody, which was approved by the Food and Drug Administration(FDA) on March 14, 2024. However, clinical studies are often limited by small sample sizes, and thus a more comprehensive evaluation of the safety of Tislelizumab, particularly its immune-related adverse reactions, is urgently needed.</p>
</sec>
<sec>
<title>Method</title>
<p>Disproportionality analysis was used in this study to assess the safety of Tislelizumab in clinical practice by analyzing all adverse event reports from the FDA Adverse Event Reporting System database, starting from the first quarter of 2024, where Tislelizumab was identified as the primary suspected drug. Two disproportionality analysis methods, reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN), were utilized to investigate the adverse reactions related to Tislelizumab. Additionally, the Weibull distribution was employed to examine the time-dependent changes in the incidence of adverse events.</p>
</sec>
<sec>
<title>Results</title>
<p>Consistent with the drug label, this study identified significant positive signals for adverse reactions, including myelosuppression, hepatic dysfunction, pruritus, rash, and exfoliative dermatitis. Notably, this study also identified several adverse reactions not documented in the drug label, including palmar-plantar erythrodysaesthesia syndrome, immune-mediated cystitis, and renal cysts. Adverse reactions associated with Tislelizumab generally manifested within the first month of treatment. In terms of immune-related adverse reactions, Tislelizumab demonstrated lower signal values compared to other immune checkpoint inhibitors.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study comprehensively reviews the safety profile of Tislelizumab, thereby providing clinicians with crucial safety information for prescribing this drug. Due to its relatively low risk of immune-related adverse events (irAEs), Tislelizumab may serve as a promising candidate for combination therapy with other immune checkpoint inhibitors (ICIs). Novel combination strategies involving Tislelizumab and other ICIs are anticipated to provide new therapeutic opportunities for patients experiencing irAEs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tislelizumab</kwd>
<kwd>FAERS</kwd>
<kwd>adverse events</kwd>
<kwd>immune checkpoint inhibitors</kwd>
<kwd>irAEs</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="14"/>
<word-count count="5431"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Non-surgical treatment of tumors has always been a major focus of clinical research. Traditional chemotherapy methods often cause negative effects on healthy tissues due to their lack of specificity, leading to severe adverse consequences and significantly diminishing the treatment efficacy (<xref ref-type="bibr" rid="B1">1</xref>). In recent years, the role of immune evasion mechanisms in the initiation and progression of tumors has been increasingly elucidated, and the development of immune checkpoint inhibitors&#x2014;including Cytotoxic T-Lymphocyte Antigen 4 (CTLA-4) inhibitors, Programmed Cell Death Protein 1 (PD-1) inhibitors, and Programmed Cell Death Ligand 1 (PD-L1) inhibitors&#x2014;has offered novel therapeutic options for patients (<xref ref-type="bibr" rid="B2">2</xref>). The efficacy of immunotherapy in various solid tumors has been validated through multiple clinical trials (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Blocking the PD-1/PD-L1 axis enhances T lymphocyte response to tumor cells, thus accelerating immune-mediated tumor cell destruction (<xref ref-type="bibr" rid="B8">8</xref>). Tislelizumab, an anti-PD-1 monoclonal antibody, exhibits stronger affinity for PD-1 compared to nivolumab and pembrolizumab (<xref ref-type="bibr" rid="B5">5</xref>). Its dissociation rate is 50 times slower than nivolumab and 100 times slower than pembrolizumab, and it has demonstrated significant clinical efficacy in the treatment of various tumors (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). On March 14, 2024, Tislelizumab received FDA approval for the treatment of esophageal and gastric cancer. Although short-term clinical studies show that Tislelizumab has manageable safety (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>), these studies are limited by small sample sizes, making it difficult to comprehensively assess its adverse effects. Since immune checkpoint inhibitors (ICIs) may lead to excessive immune activation, triggering immune-related adverse events (irAEs) and causing organ damage (<xref ref-type="bibr" rid="B9">9</xref>), it is necessary to assess the occurrence of irAEs during Tislelizumab treatment. The FDA Adverse Event Reporting System (FAERS) is a publicly accessible voluntary reporting system that contains a large number of drug-related adverse reaction records. As the largest pharmacovigilance database globally, FAERS is an important resource for identifying drug-related adverse reactions. This study aims to evaluate the safety profile of Tislelizumab and reveal adverse reactions not mentioned in the drug label. Additionally, we focus on comparing the differences in irAEs between Tislelizumab and other ICIs.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Date source and de-duplications</title>
<p>The data were sourced from the publicly accessible FAERS database, covering the period from the first quarter to the fourth quarter of 2024. Briefly, FAERS datafiles consist of seven datasets, including demographic and administrative information (DEMO), drug information (DRUG), adverse drug reaction information (REAC), patient outcome information (OUTC), information on report sources (RPSR), therapy start dates, and end dates for reported drugs (THER), as well as indications for drug administration (INDI). The data management process includes deduplication of duplicate reports and standardization of adverse reaction terminology. For reports with identical case identifiers (CASEIDs), the report with the latest FDA receipt date (FDA_DT) was retained. In cases where both CASEID and FDA_DT values matched, the report with the highest PRIMARYID (the unique identifier assigned to each report) was retained. Adverse reaction events were standardized using the MedDra dictionary (version 27.1), thereby enhancing the reliability of the statistical analysis. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> provides a detailed process overview.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>A flowchart illustrating the process of adverse event analysis for Tislelizumab using the FDA Adverse Event Reporting System database. PS, Primary Suspect Drug; irAEs, immune-related adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1596842-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Statistical analysis</title>
<p>Descriptive analysis was used to present the characteristics of adverse reaction events associated with Tislelizumab. Disproportionality analysis was employed to assess the relationship between specific adverse reactions and Tislelizumab treatment. <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref> provides detailed two-by-two contingency tables. Two disproportionality analysis methods were used to detect adverse reaction events related to Tislelizumab: the reporting odds ratio (ROR) and the Bayesian confidence propagation neural network (BCPNN). <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref> describes the formulas and thresholds for both methods. To ensure the reliability of the results, adverse reaction events were considered positive if they were identified as such by both methods. The time interval between the occurrence of adverse reaction events (recorded in the DEMO file) and the start of Tislelizumab treatment (recorded in the THER file) was used to determine the latency period for the adverse reactions. The Weber distribution test was applied to examine the temporal variation in the incidence of adverse reactions. Cumulative incidences of AEs and irAEs were plotted using the Kaplan&#x2010;Meier method, and a log&#x2010;rank test was used to compare the cumulative incidences of AEs and irAEs in patients treated with Tislelizumab.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>General characteristics</title>
<p>From the first quarter to the fourth quarter of 2024, we included 2,075 cases of Tislelizumab, reporting 3,795 drug-related adverse reaction events (see <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Among the included patients, 99.99% were from China. These cases were reported by 2,066 healthcare professionals (99.6%) and 9 non-healthcare professionals (0.4%). The primary reported indications were as follows: lung cancer (n = 605, 29.2%), esophageal cancer (n = 188, 9%), liver cancer (n = 148, 7.1%), nasopharyngeal cancer (n = 115, 5.5%), and gastric cancer (n = 69, 3.3%). Hospitalization was the most common serious adverse event (n = 647, 31.2%). Additionally, 18 deaths (0.8%) and 68 life-threatening cases (3.3%) were reported.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of tislelizumab adverse event reports from the FAERS database (Q1 2024 &#x2013; Q4 2024).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="left">Case numbers</th>
<th valign="top" align="left">Case proportion <break/>(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Number of events</td>
<td valign="top" align="left">2,075</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Reported Countries</th>
</tr>
<tr>
<td valign="top" align="left">China</td>
<td valign="top" align="left">2,073</td>
<td valign="top" align="left">99.99%</td>
</tr>
<tr>
<td valign="top" align="left">Korea, South</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Spain</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Reporter</th>
</tr>
<tr>
<td valign="top" align="left">Healthcare professional</td>
<td valign="top" align="left">2,066</td>
<td valign="top" align="left">99.6%</td>
</tr>
<tr>
<td valign="top" align="left">Non-healthcare professional</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">0.4%</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Reporting year</th>
</tr>
<tr>
<td valign="top" align="left">2024Q1</td>
<td valign="top" align="left">83</td>
<td valign="top" align="left">4%</td>
</tr>
<tr>
<td valign="top" align="left">2024Q2</td>
<td valign="top" align="left">564</td>
<td valign="top" align="left">27.2%</td>
</tr>
<tr>
<td valign="top" align="left">2024Q3</td>
<td valign="top" align="left">701</td>
<td valign="top" align="left">33.8%</td>
</tr>
<tr>
<td valign="top" align="left">2024Q4</td>
<td valign="top" align="left">727</td>
<td valign="top" align="left">35%</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Routes of administration</th>
</tr>
<tr>
<td valign="top" align="left">Intravenous drip</td>
<td valign="top" align="left">1,897</td>
<td valign="top" align="left">91.4%</td>
</tr>
<tr>
<td valign="top" align="left">Intravenous bolus</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0.1%</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">176</td>
<td valign="top" align="left">8.5%</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Indications</th>
</tr>
<tr>
<td valign="top" align="left">Lung Neoplasms</td>
<td valign="top" align="left">605</td>
<td valign="top" align="left">29.2%</td>
</tr>
<tr>
<td valign="top" align="left">Esophageal Neoplasms</td>
<td valign="top" align="left">188</td>
<td valign="top" align="left">9%</td>
</tr>
<tr>
<td valign="top" align="left">Liver Neoplasms</td>
<td valign="top" align="left">148</td>
<td valign="top" align="left">7.1%</td>
</tr>
<tr>
<td valign="top" align="left">Nasopharyngeal Neoplasms</td>
<td valign="top" align="left">115</td>
<td valign="top" align="left">5.5%</td>
</tr>
<tr>
<td valign="top" align="left">Stomach Neoplasms</td>
<td valign="top" align="left">69</td>
<td valign="top" align="left">3.3%</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Outcomes</th>
</tr>
<tr>
<td valign="top" align="left">Death</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">0.8%</td>
</tr>
<tr>
<td valign="top" align="left">Disability</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">2%</td>
</tr>
<tr>
<td valign="top" align="left">Hospitalization (Initial or Prolonged)</td>
<td valign="top" align="left">647</td>
<td valign="top" align="left">31.2%</td>
</tr>
<tr>
<td valign="top" align="left">Life-Threatening</td>
<td valign="top" align="left">68</td>
<td valign="top" align="left">3.3%</td>
</tr>
<tr>
<td valign="top" align="left">Other Serious events</td>
<td valign="top" align="left">574</td>
<td valign="top" align="left">27.7%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Signal detection</title>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> describes the signal strength of Tislelizumab at the SOC (System Organ Class) level. Adverse events associated with Tislelizumab were reported in 24 out of 27 SOCs. The SOCs that met the criteria of both algorithms include Blood and Lymphatic System Disorders, Investigations, Skin and Subcutaneous Tissue Disorders, Hepatobiliary Disorders, Metabolism and Nutrition Disorders, Cardiac Disorders, and Endocrine Disorders.The distribution of adverse events at the level of SOC is depicted in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> presents the preferred terms (PTs) with at least 3 cases and that meet the criteria of both algorithms, covering 97 PTs across 15 SOCs. The five most frequently reported PTs were as follows: Myelosuppression (n = 906), Neutrophil Count Decreased (n = 212), White Blood Cell Count Decreased (n = 211), Pruritus (n = 115), and Hepatic Function Abnormal(n = 106). The top five PTs based on significance, ranked by reporting odds ratio (ROR), were Immune-Mediated Cystitis (ROR = 246.09), Myelosuppression (ROR = 245.25), Granulocyte Count Decreased (ROR = 150.35), Myocardial Injury (ROR = 103.68), and Dermatitis Exfoliative (ROR = 88.43). Additionally, several potential adverse reactions not listed in the drug label were identified, including Palmar-Plantar Erythrodysaesthesia Syndrome, Immune-Mediated Cystitis, and Renal Cyst.All adverse events that met the criteria for a positive signal are shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Signal strength of tislelizumab AEs across System Organ Classes (SOC) in the FAERS database.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">System Organ Class (SOC)</th>
<th valign="top" align="left">Case numbers</th>
<th valign="top" align="left">ROR(95%CI)</th>
<th valign="top" align="left">IC(IC025)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Blood And Lymphatic System Disorders*</td>
<td valign="top" align="left">1015</td>
<td valign="top" align="left">20.37 (18.95 - 21.89)</td>
<td valign="top" align="left">3.91 (3.81)</td>
</tr>
<tr>
<td valign="top" align="left">Investigations*</td>
<td valign="top" align="left">781</td>
<td valign="top" align="left">4.12 (3.81 - 4.46)</td>
<td valign="top" align="left">1.8 (1.68)</td>
</tr>
<tr>
<td valign="top" align="left">Skin And Subcutaneous Tissue Disorders*</td>
<td valign="top" align="left">424</td>
<td valign="top" align="left">2.11 (1.9 - 2.33)</td>
<td valign="top" align="left">0.99 (0.84)</td>
</tr>
<tr>
<td valign="top" align="left">Gastrointestinal Disorders</td>
<td valign="top" align="left">264</td>
<td valign="top" align="left">0.81 (0.72 - 0.92)</td>
<td valign="top" align="left">-0.28 (-0.46)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatobiliary Disorders*</td>
<td valign="top" align="left">230</td>
<td valign="top" align="left">7.04 (6.16 - 8.05)</td>
<td valign="top" align="left">2.73 (2.54)</td>
</tr>
<tr>
<td valign="top" align="left">General Disorders And Administration Site Conditions</td>
<td valign="top" align="left">222</td>
<td valign="top" align="left">0.3 (0.26 - 0.34)</td>
<td valign="top" align="left">-1.55 (-1.75)</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory, Thoracic And Mediastinal Disorders</td>
<td valign="top" align="left">163</td>
<td valign="top" align="left">0.89 (0.76 - 1.04)</td>
<td valign="top" align="left">-0.16 (-0.39)</td>
</tr>
<tr>
<td valign="top" align="left">Metabolism And Nutrition Disorders*</td>
<td valign="top" align="left">97</td>
<td valign="top" align="left">1.29 (1.05 - 1.57)</td>
<td valign="top" align="left">0.35 (0.06)</td>
</tr>
<tr>
<td valign="top" align="left">Nervous System Disorders</td>
<td valign="top" align="left">92</td>
<td valign="top" align="left">0.32 (0.26 - 0.4)</td>
<td valign="top" align="left">-1.55 (-1.86)</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac Disorders*</td>
<td valign="top" align="left">85</td>
<td valign="top" align="left">1.26 (1.01 - 1.56)</td>
<td valign="top" align="left">0.32 (0.01)</td>
</tr>
<tr>
<td valign="top" align="left">Injury, Poisoning And Procedural Complications</td>
<td valign="top" align="left">79</td>
<td valign="top" align="left">0.13 (0.1 - 0.16)</td>
<td valign="top" align="left">-2.77 (-3.1)</td>
</tr>
<tr>
<td valign="top" align="left">Infections And Infestations</td>
<td valign="top" align="left">56</td>
<td valign="top" align="left">0.22 (0.17 - 0.29)</td>
<td valign="top" align="left">-2.1 (-2.48)</td>
</tr>
<tr>
<td valign="top" align="left">Renal And Urinary Disorders</td>
<td valign="top" align="left">54</td>
<td valign="top" align="left">0.96 (0.73 - 1.25)</td>
<td valign="top" align="left">-0.06 (-0.45)</td>
</tr>
<tr>
<td valign="top" align="left">Immune System Disorders</td>
<td valign="top" align="left">53</td>
<td valign="top" align="left">1.13 (0.86 - 1.48)</td>
<td valign="top" align="left">0.17 (-0.22)</td>
</tr>
<tr>
<td valign="top" align="left">Endocrine Disorders*</td>
<td valign="top" align="left">47</td>
<td valign="top" align="left">4.06 (3.04 - 5.42)</td>
<td valign="top" align="left">2 (1.59)</td>
</tr>
<tr>
<td valign="top" align="left">Musculoskeletal And Connective Tissue Disorders</td>
<td valign="top" align="left">39</td>
<td valign="top" align="left">0.19 (0.14 - 0.26)</td>
<td valign="top" align="left">-2.34 (-2.8)</td>
</tr>
<tr>
<td valign="top" align="left">Vascular Disorders</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">0.46 (0.33 - 0.65)</td>
<td valign="top" align="left">-1.1 (-1.6)</td>
</tr>
<tr>
<td valign="top" align="left">Psychiatric Disorders</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">0.14 (0.1 - 0.22)</td>
<td valign="top" align="left">-2.74 (-3.31)</td>
</tr>
<tr>
<td valign="top" align="left">Neoplasms Benign, Malignant And Unspecified (Incl Cysts And Polyps)</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">0.23 (0.14 - 0.39)</td>
<td valign="top" align="left">-2.07 (-2.79)</td>
</tr>
<tr>
<td valign="top" align="left">Eye Disorders</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">0.15 (0.08 - 0.26)</td>
<td valign="top" align="left">-2.74 (-3.54)</td>
</tr>
<tr>
<td valign="top" align="left">Congenital, Familial And Genetic Disorders</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">0.4 (0.15 - 1.06)</td>
<td valign="top" align="left">-1.33 (-2.62)</td>
</tr>
<tr>
<td valign="top" align="left">Ear And Labyrinth Disorders</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">0.19 (0.06 - 0.59)</td>
<td valign="top" align="left">-2.39 (-3.83)</td>
</tr>
<tr>
<td valign="top" align="left">Reproductive System And Breast Disorders</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">0.14 (0.04 - 0.42)</td>
<td valign="top" align="left">-2.86 (-4.31)</td>
</tr>
<tr>
<td valign="top" align="left">Social Circumstances</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.05 (0.01 - 0.36)</td>
<td valign="top" align="left">-4.3 (-6.35)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Asterisks (*) indicate statistically significant signals in algorithm; ROR, reporting odds ratio; IC, information component; IC025, the lower limit of the 95% CI of the IC; CI, confidence interval; AEs, adverse events.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Proportion of adverse events categorized by system organ class for Tislelizumab.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1596842-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Signal strength of reports of tislelizumab at the Preferred term (PT) level in FAERS database.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">SOC</th>
<th valign="top" align="left">PT(Preferred Term)</th>
<th valign="top" align="left">a</th>
<th valign="top" align="left">ROR(95%Cl)</th>
<th valign="top" align="left">IC(IC025)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">Blood And Lymphatic System Disorders</td>
<td valign="top" align="left">Myelosuppression</td>
<td valign="top" align="left">906</td>
<td valign="top" align="left">245.25 (226.71 - 265.3)</td>
<td valign="top" align="left">7.36 (7.24)</td>
</tr>
<tr>
<td valign="top" align="left">Thrombocytopenia</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">3.55 (2.38 - 5.31)</td>
<td valign="top" align="left">1.82 (1.24)</td>
</tr>
<tr>
<td valign="top" align="left">Anaemia</td>
<td valign="top" align="left">23</td>
<td valign="top" align="left">2.28 (1.52 - 3.44)</td>
<td valign="top" align="left">1.19 (0.59)</td>
</tr>
<tr>
<td valign="top" align="left">Leukopenia</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">6.72 (4.37 - 10.32)</td>
<td valign="top" align="left">2.73 (2.12)</td>
</tr>
<tr>
<td valign="top" align="left">Agranulocytosis</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">10.28 (5.95 - 17.75)</td>
<td valign="top" align="left">3.35 (2.57)</td>
</tr>
<tr>
<td valign="top" align="left">Bicytopenia</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">21.06 (6.73 - 65.91)</td>
<td valign="top" align="left">4.37 (2.91)</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Cardiac Disorders</td>
<td valign="top" align="left">Myocarditis</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">13.92 (8.05 - 24.06)</td>
<td valign="top" align="left">3.78 (3)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial Injury</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">103.68 (58.9 - 182.51)</td>
<td valign="top" align="left">6.58 (5.78)</td>
</tr>
<tr>
<td valign="top" align="left">Palpitations</td>
<td valign="top" align="left">11</td>
<td valign="top" align="left">1.93 (1.07 - 3.49)</td>
<td valign="top" align="left">0.95 (0.11)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Myocarditis</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">14.31 (5.34 - 38.35)</td>
<td valign="top" align="left">3.82 (2.52)</td>
</tr>
<tr>
<td valign="top" align="left">Cardiotoxicity</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">4.63 (1.49 - 14.38)</td>
<td valign="top" align="left">2.2 (0.76)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Endocrine Disorders</td>
<td valign="top" align="left">Hypothyroidism</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">7 (4.28 - 11.45)</td>
<td valign="top" align="left">2.8 (2.09)</td>
</tr>
<tr>
<td valign="top" align="left">Adrenal Insufficiency</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">3.41 (1.28 - 9.11)</td>
<td valign="top" align="left">1.77 (0.47)</td>
</tr>
<tr>
<td valign="top" align="left">Secondary Adrenocortical Insufficiency</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">22.63 (8.42 - 60.85)</td>
<td valign="top" align="left">4.48 (3.17)</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Gastrointestinal Disorders</td>
<td valign="top" align="left">Gastrointestinal Disorder</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">3.06 (2.07 - 4.54)</td>
<td valign="top" align="left">1.61 (1.04)</td>
</tr>
<tr>
<td valign="top" align="left">Mouth Ulceration</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">15.34 (9.96 - 23.61)</td>
<td valign="top" align="left">3.92 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">Abdominal Distension</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">2.05 (1.19 - 3.53)</td>
<td valign="top" align="left">1.03 (0.26)</td>
</tr>
<tr>
<td valign="top" align="left">Gastrointestinal Haemorrhage</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">2.87 (1.36 - 6.02)</td>
<td valign="top" align="left">1.52 (0.49)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Pancreatitis</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">86.6 (37.89 - 197.97)</td>
<td valign="top" align="left">6.34 (5.21)</td>
</tr>
<tr>
<td valign="top" align="left">Lip Ulceration</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">65.62 (20.57 - 209.33)</td>
<td valign="top" align="left">5.97 (4.48)</td>
</tr>
<tr>
<td valign="top" align="left">Hypoaesthesia Oral</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">4.16 (1.34 - 12.92)</td>
<td valign="top" align="left">2.05 (0.6)</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">General Disorders And Administration Site Conditions</td>
<td valign="top" align="left">Pyrexia</td>
<td valign="top" align="left">59</td>
<td valign="top" align="left">2.81 (2.17 - 3.63)</td>
<td valign="top" align="left">1.47 (1.1)</td>
</tr>
<tr>
<td valign="top" align="left">Asthenia</td>
<td valign="top" align="left">50</td>
<td valign="top" align="left">2.27 (1.72 - 3.01)</td>
<td valign="top" align="left">1.17 (0.77)</td>
</tr>
<tr>
<td valign="top" align="left">Chest Discomfort</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">4.93 (3.44 - 7.07)</td>
<td valign="top" align="left">2.29 (1.77)</td>
</tr>
<tr>
<td valign="top" align="left">Chills</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">2.01 (1.16 - 3.46)</td>
<td valign="top" align="left">1 (0.23)</td>
</tr>
<tr>
<td valign="top" align="left">Temperature Intolerance</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">9.66 (4.59 - 20.33)</td>
<td valign="top" align="left">3.26 (2.23)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperpyrexia</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">20.31 (9.06 - 45.52)</td>
<td valign="top" align="left">4.32 (3.22)</td>
</tr>
<tr>
<td valign="top" rowspan="9" align="left">Hepatobiliary Disorders</td>
<td valign="top" align="left">Hepatic Function Abnormal</td>
<td valign="top" align="left">106</td>
<td valign="top" align="left">46.34 (38.08 - 56.39)</td>
<td valign="top" align="left">5.45 (5.16)</td>
</tr>
<tr>
<td valign="top" align="left">Liver Injury</td>
<td valign="top" align="left">55</td>
<td valign="top" align="left">23.07 (17.64 - 30.18)</td>
<td valign="top" align="left">4.48 (4.09)</td>
</tr>
<tr>
<td valign="top" align="left">Drug-Induced Liver Injury</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">7.96 (5.23 - 12.12)</td>
<td valign="top" align="left">2.98 (2.37)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Hepatic Disorder</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">19.88 (10.29 - 38.43)</td>
<td valign="top" align="left">4.29 (3.37)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatic Failure</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">6.71 (3.35 - 13.45)</td>
<td valign="top" align="left">2.74 (1.77)</td>
</tr>
<tr>
<td valign="top" align="left">Autoimmune Hepatitis</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">18.65 (8.84 - 39.36)</td>
<td valign="top" align="left">4.2 (3.17)</td>
</tr>
<tr>
<td valign="top" align="left">Acute Hepatic Failure</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">6.03 (2.26 - 16.12)</td>
<td valign="top" align="left">2.59 (1.29)</td>
</tr>
<tr>
<td valign="top" align="left">Jaundice</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.14 (1.01 - 9.75)</td>
<td valign="top" align="left">1.65 (0.2)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Hepatitis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">11.22 (3.6 - 34.96)</td>
<td valign="top" align="left">3.48 (2.02)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Immune System Disorders</td>
<td valign="top" align="left">Hypersensitivity</td>
<td valign="top" align="left">28</td>
<td valign="top" align="left">2.74 (1.89 - 3.97)</td>
<td valign="top" align="left">1.44 (0.91)</td>
</tr>
<tr>
<td valign="top" align="left">Anaphylactic Shock</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">6.57 (3.52 - 12.23)</td>
<td valign="top" align="left">2.71 (1.83)</td>
</tr>
<tr>
<td valign="top" align="left">Anaphylactoid Reaction</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">28.06 (11.56 - 68.08)</td>
<td valign="top" align="left">4.78 (3.59)</td>
</tr>
<tr>
<td valign="top" rowspan="21" align="left">Investigations</td>
<td valign="top" align="left">Neutrophil Count Decreased</td>
<td valign="top" align="left">212</td>
<td valign="top" align="left">71.04 (61.64 - 81.86)</td>
<td valign="top" align="left">6 (5.79)</td>
</tr>
<tr>
<td valign="top" align="left">White Blood Cell Count Decreased</td>
<td valign="top" align="left">211</td>
<td valign="top" align="left">31.76 (27.6 - 36.55)</td>
<td valign="top" align="left">4.88 (4.67)</td>
</tr>
<tr>
<td valign="top" align="left">Platelet Count Decreased</td>
<td valign="top" align="left">80</td>
<td valign="top" align="left">12.08 (9.67 - 15.09)</td>
<td valign="top" align="left">3.55 (3.23)</td>
</tr>
<tr>
<td valign="top" align="left">Granulocyte Count Decreased</td>
<td valign="top" align="left">36</td>
<td valign="top" align="left">150.35 (106.35 - 212.55)</td>
<td valign="top" align="left">7.06 (6.56)</td>
</tr>
<tr>
<td valign="top" align="left">Haemoglobin Decreased</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">4.67 (3.17 - 6.88)</td>
<td valign="top" align="left">2.21 (1.65)</td>
</tr>
<tr>
<td valign="top" align="left">Transaminases Increased</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">17.3 (10.85 - 27.56)</td>
<td valign="top" align="left">4.09 (3.42)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatic Enzyme Increased</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">2.81 (1.66 - 4.76)</td>
<td valign="top" align="left">1.49 (0.74)</td>
</tr>
<tr>
<td valign="top" align="left">Oxygen Saturation Decreased</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">2.85 (1.62 - 5.02)</td>
<td valign="top" align="left">1.51 (0.7)</td>
</tr>
<tr>
<td valign="top" align="left">Blood Pressure Decreased</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">2.7 (1.45 - 5.02)</td>
<td valign="top" align="left">1.43 (0.55)</td>
</tr>
<tr>
<td valign="top" align="left">Red Blood Cell Count Decreased</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">5.3 (2.84 - 9.87)</td>
<td valign="top" align="left">2.4 (1.52)</td>
</tr>
<tr>
<td valign="top" align="left">Blood Creatinine Increased</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">3.07 (1.65 - 5.71)</td>
<td valign="top" align="left">1.61 (0.74)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial Necrosis Marker Increased</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">63.95 (32.73 - 124.95)</td>
<td valign="top" align="left">5.93 (4.99)</td>
</tr>
<tr>
<td valign="top" align="left">Cortisol Decreased</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">61.48 (30.24 - 125.02)</td>
<td valign="top" align="left">5.87 (4.89)</td>
</tr>
<tr>
<td valign="top" align="left">Blood Thyroid Stimulating Hormone Increased</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">14.81 (7.03 - 31.21)</td>
<td valign="top" align="left">3.87 (2.84)</td>
</tr>
<tr>
<td valign="top" align="left">Full Blood Count Decreased</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">4.56 (2.17 - 9.58)</td>
<td valign="top" align="left">2.18 (1.16)</td>
</tr>
<tr>
<td valign="top" align="left">Aspartate Aminotransferase Increased</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">2.4 (1.08 - 5.36)</td>
<td valign="top" align="left">1.26 (0.17)</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte Count Decreased</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">4.82 (2.16 - 10.74)</td>
<td valign="top" align="left">2.26 (1.17)</td>
</tr>
<tr>
<td valign="top" align="left">Gamma-Glutamyltransferase Increased</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">5.47 (2.27 - 13.19)</td>
<td valign="top" align="left">2.45 (1.26)</td>
</tr>
<tr>
<td valign="top" align="left">Blood Lactate Dehydrogenase Increased</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">7.78 (3.23 - 18.75)</td>
<td valign="top" align="left">2.95 (1.77)</td>
</tr>
<tr>
<td valign="top" align="left">Breath Sounds Abnormal</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">9.93 (3.71 - 26.56)</td>
<td valign="top" align="left">3.3 (2)</td>
</tr>
<tr>
<td valign="top" align="left">Troponin I Increased</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">37.86 (12.01 - 119.36)</td>
<td valign="top" align="left">5.2 (3.73)</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Metabolism And Nutrition Disorders</td>
<td valign="top" align="left">Decreased Appetite</td>
<td valign="top" align="left">45</td>
<td valign="top" align="left">2.95 (2.2 - 3.96)</td>
<td valign="top" align="left">1.55 (1.12)</td>
</tr>
<tr>
<td valign="top" align="left">Hypokalaemia</td>
<td valign="top" align="left">11</td>
<td valign="top" align="left">4.02 (2.22 - 7.27)</td>
<td valign="top" align="left">2 (1.16)</td>
</tr>
<tr>
<td valign="top" align="left">Hyponatraemia</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">2.39 (1.07 - 5.33)</td>
<td valign="top" align="left">1.25 (0.16)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetic Ketoacidosis</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">4.45 (1.85 - 10.72)</td>
<td valign="top" align="left">2.15 (0.97)</td>
</tr>
<tr>
<td valign="top" align="left">Hypoproteinaemia</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">21.7 (8.07 - 58.31)</td>
<td valign="top" align="left">4.42 (3.11)</td>
</tr>
<tr>
<td valign="top" align="left">Hypomagnesaemia</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.26 (1.05 - 10.11)</td>
<td valign="top" align="left">1.7 (0.25)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Nervous System Disorders</td>
<td valign="top" align="left">Hypoaesthesia</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">1.99 (1.23 - 3.2)</td>
<td valign="top" align="left">0.99 (0.3)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Myasthenia Gravis</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">52.51 (19.32 - 142.73)</td>
<td valign="top" align="left">5.66 (4.34)</td>
</tr>
<tr>
<td valign="top" align="left">Neurotoxicity</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">3.47 (1.3 - 9.25)</td>
<td valign="top" align="left">1.79 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left">Psychiatric Disorders</td>
<td valign="top" align="left">Listless</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">31.72 (13.06 - 77.05)</td>
<td valign="top" align="left">4.95 (3.76)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Renal And Urinary Disorders</td>
<td valign="top" align="left">Proteinuria</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">2.99 (1.12 - 7.98)</td>
<td valign="top" align="left">1.58 (0.28)</td>
</tr>
<tr>
<td valign="top" align="left">Renal Cyst</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">7.75 (2.49 - 24.12)</td>
<td valign="top" align="left">2.95 (1.5)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Cystitis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">246.09 (71.68 - 844.93)</td>
<td valign="top" align="left">7.7 (6.11)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Nephritis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">45.78 (14.47 - 144.83)</td>
<td valign="top" align="left">5.47 (3.99)</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Respiratory, Thoracic And Mediastinal Disorders</td>
<td valign="top" align="left">Interstitial Lung Disease</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">10.33 (7.28 - 14.64)</td>
<td valign="top" align="left">3.35 (2.84)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Lung Disease</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">33.97 (18.12 - 63.7)</td>
<td valign="top" align="left">5.05 (4.16)</td>
</tr>
<tr>
<td valign="top" align="left">Dysphonia</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">2.15 (1.07 - 4.3)</td>
<td valign="top" align="left">1.1 (0.14)</td>
</tr>
<tr>
<td valign="top" align="left">Tachypnoea</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">9.81 (4.89 - 19.67)</td>
<td valign="top" align="left">3.28 (2.31)</td>
</tr>
<tr>
<td valign="top" align="left">Pneumonitis</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">2.56 (1.06 - 6.16)</td>
<td valign="top" align="left">1.35 (0.17)</td>
</tr>
<tr>
<td valign="top" rowspan="16" align="left">Skin And Subcutaneous Tissue Disorders</td>
<td valign="top" align="left">Pruritus</td>
<td valign="top" align="left">115</td>
<td valign="top" align="left">4.02 (3.34 - 4.84)</td>
<td valign="top" align="left">1.97 (1.7)</td>
</tr>
<tr>
<td valign="top" align="left">Rash</td>
<td valign="top" align="left">105</td>
<td valign="top" align="left">3.94 (3.25 - 4.79)</td>
<td valign="top" align="left">1.95 (1.66)</td>
</tr>
<tr>
<td valign="top" align="left">Drug Eruption</td>
<td valign="top" align="left">39</td>
<td valign="top" align="left">36.43 (26.46 - 50.16)</td>
<td valign="top" align="left">5.13 (4.67)</td>
</tr>
<tr>
<td valign="top" align="left">Erythema Multiforme</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">34.05 (20.37 - 56.9)</td>
<td valign="top" align="left">5.05 (4.32)</td>
</tr>
<tr>
<td valign="top" align="left">Skin Exfoliation</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">2.05 (1.16 - 3.61)</td>
<td valign="top" align="left">1.03 (0.23)</td>
</tr>
<tr>
<td valign="top" align="left">Rash Erythematous</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">2.95 (1.59 - 5.5)</td>
<td valign="top" align="left">1.56 (0.69)</td>
</tr>
<tr>
<td valign="top" align="left">Blister</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">2.09 (1.04 - 4.18)</td>
<td valign="top" align="left">1.06 (0.1)</td>
</tr>
<tr>
<td valign="top" align="left">Dermatitis Exfoliative</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">88.43 (41.11 - 190.23)</td>
<td valign="top" align="left">6.37 (5.31)</td>
</tr>
<tr>
<td valign="top" align="left">Palmar-Plantar Erythrodysaesthesia Syndrome</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">4.6 (2.06 - 10.25)</td>
<td valign="top" align="left">2.19 (1.1)</td>
</tr>
<tr>
<td valign="top" align="left">Papule</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">12.47 (5.58 - 27.88)</td>
<td valign="top" align="left">3.63 (2.53)</td>
</tr>
<tr>
<td valign="top" align="left">Macule</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">31.57 (12.99 - 76.68)</td>
<td valign="top" align="left">4.95 (3.75)</td>
</tr>
<tr>
<td valign="top" align="left">Dermatitis Bullous</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">11.72 (4.38 - 31.38)</td>
<td valign="top" align="left">3.54 (2.24)</td>
</tr>
<tr>
<td valign="top" align="left">Skin Erosion</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">17.33 (6.46 - 46.5)</td>
<td valign="top" align="left">4.1 (2.79)</td>
</tr>
<tr>
<td valign="top" align="left">Dermatitis</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">2.93 (1.1 - 7.82)</td>
<td valign="top" align="left">1.55 (0.25)</td>
</tr>
<tr>
<td valign="top" align="left">Immune-Mediated Dermatitis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">17.9 (5.73 - 55.94)</td>
<td valign="top" align="left">4.14 (2.69)</td>
</tr>
<tr>
<td valign="top" align="left">Toxic Epidermal Necrolysis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.5 (1.13 - 10.87)</td>
<td valign="top" align="left">1.8 (0.36)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Vascular Disorders</td>
<td valign="top" align="left">Flushing</td>
<td valign="top" align="left">11</td>
<td valign="top" align="left">3.09 (1.71 - 5.6)</td>
<td valign="top" align="left">1.62 (0.79)</td>
</tr>
<tr>
<td valign="top" align="left">Cyanosis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">4.23 (1.36 - 13.15)</td>
<td valign="top" align="left">2.08 (0.63)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ROR, reporting odds ratio; IC025, the lower limit of the 95% CI of the IC; CI, confidence interval; PT, preferred term.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Signal strength of adverse events related to Tislelizumab at the PT level. SOC, System Organ Class; PT, Preferred term; Number, number of cases; ROR, reporting odds ratio; CI, confidence interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1596842-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Subgroup analysis</title>
<p>We conducted a subgroup analysis of several common indications for Tislelizumab treatment in the FAERS database. The results indicated that, under the criteria of both algorithms, the most common adverse reactions in the lung cancer group were myelosuppression (n = 260), white blood cell count decreased (n = 65), neutrophil count decreased (n = 60), rash (n = 35), and pruritus (n = 32). In the esophageal cancer group, the most common adverse reactions were myelosuppression (n = 94), neutrophil count decreased (n = 21), white blood cell count decreased (n = 20), platelet count decreased (n = 11), and rash (n = 7). For the liver cancer group, the most common adverse reactions were myelosuppression (n = 65), hepatic function abnormal (n = 11), rash (n = 7), pruritus (n = 7), drug eruption (n = 7), and neutrophil count decreased (n = 6). In the nasopharyngeal cancer group, the most common adverse reactions were myelosuppression (n = 54), neutrophil count decreased (n = 24), rash (n = 9), and pruritus (n = 9). The most common adverse reactions in the gastric cancer group were myelosuppression (n = 35), neutrophil count decreased (n = 8), white blood cell count decreased (n = 7), pruritus (n = 5), and rash (n = 4). Myelosuppression was the most frequently reported adverse event across all subgroups, while neutrophil count decreased, rash, and pruritus occurred in all subgroups.Specific details are provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S3-S7</bold>
</xref>.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Analysis of irAEs</title>
<p>The compilation of immune-related adverse events (irAEs) was obtained from the study conducted by Chen Chen et&#xa0;al. (<xref ref-type="bibr" rid="B10">10</xref>) and categorized into 11 groups, including Skin Toxicities, Gastrointestinal Toxicities, Hepatitis, Endocrine Toxicities, Lung Toxicities, Musculoskeletal Toxicities, Cardiovascular Toxicities, Hematologic Toxicities, Renal Toxicities, Nervous System Toxicities, and Ocular Toxicities. Overall, Tislelizumab demonstrated a significant signal for irAEs (n = 726, ROR = 1.69), with a lower ROR compared to other immune checkpoint inhibitors (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S8</bold>
</xref>). When irAEs were analyzed across the 11 categories, five positive signals were identified (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), namely: Skin Toxicities (n = 278, ROR = 2.61), Hepatitis (n = 159, ROR = 4.36), Endocrine Toxicities (n = 47, ROR = 5.01), Hematologic Toxicities (n = 45, ROR = 1.54), and Lung Toxicities (n = 39, ROR = 4.6).Specific details are presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S9</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>irAE signals associated with Tislelizumab. irAE, immune-related adverse event; Number, number of cases; ROR, reporting odds ratio; CI, confidence interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1596842-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Time to onset analysis for AEs and irAEs associated with tislelizumab</title>
<p>Adverse events (AEs) associated with Tislelizumab most commonly occurred within the first month of treatment.The temporal distribution of these events is specifically depicted in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>. The median time-to-onset of Tislelizumab was 11 days (IQR: 6&#x2013;24 days), while for immune-related adverse events (irAEs) associated with Tislelizumab, the median time-to-onset was 21 days (IQR: 6&#x2013;50.5 days). The cumulative incidence curves for all adverse events (AEs) and immune-related adverse events (irAEs) associated with Tislelizumab are shown in the <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>. Additionally, Weber distribution analysis demonstrated that both exhibited an early failure mode. Detailed parameters of the Weber analysis are listed in the <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Time to onset of adverse events associated with Tislelizumab.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1596842-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Cumulative incidence of adverse events associated with Tislelizumab over time. AEs, adverse events; irAEs, immune-related adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1596842-g006.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Weibull distribution analysis for AEs and irAEs associated with tislelizumab.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">AEs</th>
<th valign="top" colspan="2" align="left">TTO (days)</th>
<th valign="top" colspan="3" align="left">Weibull distribution</th>
<th valign="top" rowspan="2" align="left">P</th>
</tr>
<tr>
<th valign="top" align="left">Case reports</th>
<th valign="top" align="left">Median (d) (IQR)</th>
<th valign="top" align="left">Scale parameter: &#x3b1; (95%CI)</th>
<th valign="top" align="left">Shape parameter: &#x3b2; (95%CI)</th>
<th valign="top" align="left">Type</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top" align="left">1144</td>
<td valign="top" align="left">11 (6-24)</td>
<td valign="top" align="left">24.41 (22.19-26.62)</td>
<td valign="top" align="left">0.679 (0.653-0.706)</td>
<td valign="top" align="left">Early failure</td>
<td valign="top" align="left">P&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">irAEs</td>
<td valign="top" align="left">391</td>
<td valign="top" align="left">21 (6-50.5)</td>
<td valign="top" align="left">42.11 (35.34-48.87)</td>
<td valign="top" align="left">0.655 (0.608-0.701)</td>
<td valign="top" align="left">Early failure</td>
<td valign="top" align="left">
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TTO,time to onset; CI, confidence interval; IQR, interquartile range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Sensitivity analysis</title>
<p>Tislelizumab is frequently used in combination with several other drugs, such as Cisplatin, Oxaliplatin, Docetaxel, Gemcitabine, and Pemetrexed. After excluding reports involving combinations with these five drugs, we included 1,424 reports, which encompassed 2,690 adverse event reports. The adverse reactions that still met the positive criteria included Palmar-Plantar Erythrodysesthesia Syndrome, Immune-Mediated Cystitis, and Renal Cyst (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S10</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Previous clinical studies have demonstrated that Tislelizumab shows favorable progression-free survival (PFS) and objective response rates (ORR) in the treatment of non-small cell lung cancer (<xref ref-type="bibr" rid="B5">5</xref>). In China, Tislelizumab has been approved for the treatment of advanced squamous and non-squamous (NSCLCs), hepatocellular carcinoma (HCC), esophageal squamous cell carcinoma (ESCC), urothelial carcinoma(UC), classical Hodgkin&#x2019;s lymphoma (cHL) (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Among the medication records included in this study, the most common indications were not the FDA-approved esophageal cancer and gastric cancer, with lung cancer being the most frequent indication, accounting for about one-third of the reported cases. This is primarily due to the fact that most of the reports included in this study originated from China. Tislelizumab combined with chemotherapy has shown promising clinical results in the treatment of various cancer types. For instance, tislelizumab combined with gemcitabine plus cisplatin has demonstrated excellent clinical efficacy in the treatment of urothelial carcinoma(UC) (<xref ref-type="bibr" rid="B4">4</xref>). To minimize outcome bias caused by common clinical combination therapies, we excluded records involving combinations with Cisplatin, Oxaliplatin, Docetaxel, Gemcitabine, Pemetrexed. Through the analysis of the FAERS database, we identified several adverse reactions that are already listed in the Tislelizumab drug label, such as myelosuppression, hepatic function abnormalities, pruritus, rash, and exfoliative dermatitis. Additionally, we discovered some novel adverse reactions that are not listed in the drug label, including palmar-plantar erythrodysaesthesia syndrome, immune-mediated cystitis, and renal cysts.</p>
<p>In previous studies, Chen et&#xa0;al. identified various hematological adverse events associated with the use of immune checkpoint inhibitors (ICIs) through the analysis of the FAERS database (<xref ref-type="bibr" rid="B10">10</xref>). A systematic review of clinical trials suggested that the most common adverse reactions in the Tislelizumab treatment group were hematological parameter reductions (anemia, neutropenia, thrombocytopenia, and leukopenia), which is consistent with our findings (<xref ref-type="bibr" rid="B5">5</xref>). The exact mechanism of hematological adverse events related to Tislelizumab remains unclear; Excessive T cell activation and the potential removal of immune checkpoints may partially explain the mechanism underlying the occurrence of these adverse events (<xref ref-type="bibr" rid="B13">13</xref>). Comprehensive hematological monitoring should be performed for patients, including bone marrow biopsy if necessary. In terms of treatment, 1-2 mg/kg of prednisone daily may be used as needed, and blood transfusion support should be provided if necessary (<xref ref-type="bibr" rid="B13">13</xref>). The standard treatment regimen for Tislelizumab-related hematological disorders still requires further investigation.</p>
<p>Another notable adverse reaction is hepatic dysfunction. A phase III clinical study comparing the efficacy and safety of Tislelizumab and sorafenib in the treatment of hepatocellular carcinoma reported that elevated ALT, AST, and serum bilirubin levels were the most common adverse reactions in the Tislelizumab group, which is consistent with our analysis (<xref ref-type="bibr" rid="B7">7</xref>). The non-specific activation of the immune system related to Tislelizumab not only enhances immune-mediated tumor cell destruction but may also cause immune-related damage to hepatocytes and other normal tissues. The hemi-antigen hypothesis suggests that reactive metabolites bind to cellular proteins to form novel antigens called &#x201c;haptens.&#x201d; These &#x201c;haptens&#x201d; are presented to major histocompatibility complex molecules on antigen-presenting cells, activating cytotoxic T lymphocytes, B cells, and natural killer cells, which can lead to immune damage to hepatocytes (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Regular monitoring of liver function in patients receiving Tislelizumab treatment should be conducted, and immune-mediated hepatotoxicity should be managed with dose reduction, discontinuation, or immunosuppressive therapy when necessary (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Consistent with the drug label, our analysis identified dermatological adverse reactions such as pruritus, rash, and exfoliative dermatitis. In a clinical study by Qin et&#xa0;al., 35 out of 338 patients treated with Tislelizumab experienced pruritus (10.4%), and 34 experienced a rash (10.1%) (<xref ref-type="bibr" rid="B7">7</xref>). Dermatological adverse reactions can cause significant physical and psychological distress, leading to an increased risk of treatment discontinuation. Early diagnosis and timely management of these skin reactions may help patients continue receiving Tislelizumab treatment, resulting in better clinical outcomes. For example, topical corticosteroids can be used to alleviate pruritus (<xref ref-type="bibr" rid="B17">17</xref>). Notably, we identified a dermatological adverse reaction not listed on the drug label&#x2014;Palmar-Plantar Erythrodysaesthesia Syndrome (PPES). Consistent with our findings, Qin et&#xa0;al. reported one case of PPES in the Tislelizumab treatment group (<xref ref-type="bibr" rid="B7">7</xref>). The mechanism underlying Tislelizumab-related PPES remains unclear, but the effectiveness of dexamethasone in treating PPES suggests that excessive immune system activation may be part of its pathogenesis (<xref ref-type="bibr" rid="B18">18</xref>). Although it is rarely life-threatening, it significantly affects the patient&#x2019;s quality of life. Dose adjustment is effective in treating PPES. Additionally, some preventive strategies, such as the use of urea-based creams twice daily, have been shown in a randomized controlled study to effectively prevent PPES (<xref ref-type="bibr" rid="B18">18</xref>). Further research is needed to understand the pathogenesis and management of Tislelizumab-related PPES.</p>
<p>Our analysis found that the highest signal value for an adverse reaction was immune-mediated cystitis, which is not listed on the Tislelizumab drug label. Previous case studies have reported that Tislelizumab may induce immune-related ureteritis/cystitis (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). High levels of PD-L1 expression were found in the bladder tissue of patients with severe cystitis (<xref ref-type="bibr" rid="B21">21</xref>). Therefore, Tislelizumab-induced cytotoxic T cell activation may not only target cancer cells but also attack normal urothelial cells expressing PD-L1. Clinically, immune-mediated ureteritis/cystitis may present as paroxysmal lower abdominal pain or bladder irritation symptoms. Urine analysis often shows elevated red blood cell and white blood cell counts, proteinuria, and negative urine cultures repeatly. Cystoscopy may reveal revealed diffused redness of the bladder mucosa, while CT scans can show ureteral dilation and bladder wall thickening. During Tislelizumab treatment, any new urinary symptoms or abnormal urine analysis should raise a high suspicion for immune-mediated ureteritis/cystitis. Regular urine analysis, renal function tests, and urinary imaging are helpful for early identification of immune-mediated ureteritis/cystitis, allowing effective relief of urinary symptoms and immune-related urinary tract damage through glucocorticoid treatment while avoiding unnecessary antibiotic use (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Furthermore, we identified a potential adverse reaction of Tislelizumab&#x2014;renal cysts&#x2014;which had not been previously reported. The potential mechanism by which Tislelizumab causes renal cysts remains unclear. Previous studies suggest that kidney injury can accelerate the growth of renal cysts (<xref ref-type="bibr" rid="B22">22</xref>), and we hypothesize that renal cysts may fall under the category of immune-mediated renal Toxicities, which requires further investigation to reveal its mechanism.</p>
<p>We further investigated the profile of immune-related adverse events associated with Tislelizumab. Compared to Anti-PD-1 (Nivolumab: OR 2.21; Pembrolizumab: OR 2.35; Cemiplimab: OR 2.42), Anti-PD-L1 (Atezolizumab: OR 2.27; Durvalumab: OR 3.84), Anti-CTLA-4 (Ipilimumab: OR 3.01; Tremelimumab: OR 4.52), and Combination therapy (Ipilimumab + Nivolumab: OR 4.80; Ipilimumab + Pembrolizumab: OR 7.77; Durvalumab + Tremelimumab: OR 7.03) (<xref ref-type="bibr" rid="B10">10</xref>), Tislelizumab exhibited a lower signal for irAEs (ROR 1.69). Our findings suggest that Tislelizumab offers better safety compared to other immune checkpoint inhibitors (ICIs) (<xref ref-type="bibr" rid="B23">23</xref>). For patient populations at high risk of immune-related adverse events, an immune therapy regimen based on Tislelizumab may be superior to other ICIs and could become the preferred option. Combining immune checkpoint inhibitors (ICIs) may help overcome resistance pathways and improve sensitivity to PD-1/PD-L1 therapy (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Furthermore, this combination could enhance efficacy while minimizing drug toxicity by reducing dosages and shortening the treatment duration. In a previous phase 1/2 clinical study, BGB-A333 (a novel PD-L1 inhibitor) combined with Tislelizumab demonstrated promising antitumor effects without increasing the risk of irAEs (<xref ref-type="bibr" rid="B26">26</xref>). Further research is urgently needed to explore immune checkpoint inhibitor (ICI) combination regimens based on Tislelizumab. We also conducted a temporal analysis of adverse events, which highlighted the importance of early detection and management of related adverse events by clinicians during the first month of Tislelizumab treatment.</p>
<p>This study has several limitations. Firstly, the FAERS is a spontaneous reporting system that compiles data from multiple countries and various professionals, which may sometimes be incomplete or inaccurate. Secondly, certain confounding factors, such as drug dosage, duration of use, and combination therapies, may introduce bias into the analysis. Fortunately, we excluded cases involving the five most common combination drugs with Tislelizumab. Moreover, the majority of the study data was sourced from China, which may lead to reporting bias. Future research should incorporate data from multiple countries to enhance the generalizability of the findings. Lastly, disproportionality analysis can only assess signal strength, and thus, this study could not establish a causal relationship between the target drug and adverse events. Further experimental research is needed to validate these risks.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>In this study, we conducted a comprehensive analysis of Tislelizumab-related adverse events using the FAERS database. We identified adverse events that are already listed on the drug label, and notably, we also uncovered potential adverse events not mentioned on the label, such as palmar-plantar erythrodysaesthesia syndrome, renal cysts, immune-mediated cystitis. This study overcomes the limitation of insufficient sample size in clinical trials, providing clinicians with essential safety information when prescribing Tislelizumab. It also emphasizes the need for close monitoring of potential adverse reactions in patients. Further validation is required through the collection of hospital data or the use of other adverse drug reaction databases, and prospective clinical studies are needed to clarify the causal relationship between Tislelizumab and these adverse events. Furthermore, we highlighted the lower immune-related adverse event signal associated with Tislelizumab compared to other ICIs. This large-scale real-world study systematically evaluated the overall safety of Tislelizumab, highlighting the urgent need to develop clinical predictive models for adverse reactions to further enhance medication safety and promote personalized treatment. The relatively low risk of irAEs associated with Tislelizumab makes it a potential candidate for combination therapy with other ICIs. Therefore, novel ICI combination strategies based on Tislelizumab are expected to provide new therapeutic hope for patients burdened by irAEs. Further clinical trials are warranted to systematically evaluate the efficacy and safety of such combination therapies.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>CL: Writing &#x2013; original draft. YD: Writing &#x2013; original draft. SSC:Writing &#x2013; original draft. BCL: Writing &#x2013; review &amp; editing. XFW: Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors express sincere gratitude to the U.S. Food and Drug Administration.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1596842/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1596842/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
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