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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.2025.1525110</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Clinical Trial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Phase 2 study of chidamide in combination with CAG and venetoclax-azacitidine in older patients with newly diagnosed acute myeloid leukemia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Qingyang</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>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yang</surname>
<given-names>Jingjing</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>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Lv</surname>
<given-names>Lei</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>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Xiawei</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>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Meng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Lingmin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Sai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/894539"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jing</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dou</surname>
<given-names>Liping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Experimental Hematology, Senior Department of Hematology, The Fifth Medical Center of Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Medical School of Chinese PLA</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Mohamed A Yassin, Qatar University, Qatar</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Zhiyuan Zheng, Wenzhou Medical University, China</p>
<p>Hiroyuki Sugiura, Fukuyama City Hospital, Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Liping Dou, <email xlink:href="mailto:lipingruirui@163.com">lipingruirui@163.com</email>; Yu Jing, <email xlink:href="mailto:jingyu301@126.com">jingyu301@126.com</email>; Sai Huang, <email xlink:href="mailto:helinahs@qq.com">helinahs@qq.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1525110</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>02</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Yang, Lv, Zhang, Li, Xu, Huang, Jing and Dou</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Yang, Lv, Zhang, Li, Xu, Huang, Jing and Dou</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>Introduction</title>
<p>Older patients with acute myeloid leukemia (AML) respond poorly to standard induction therapy. DNA methyltransferases (DNMTs) and histone-deacetylases (HDACs) are key regulators of gene expression in cells and have been investigated as important therapeutic targets. However, their effects remains unclear as induction therapy for AML.</p>
</sec>
<sec>
<title>Methods</title>
<p>Previously untreated AML patients aged 60 years and over (N=40) were enrolled into this single arm, open-label, phase 2 study to evaluate the clinical efficacy and safety of chidamide combined with CAG and venetoclax-azacitidine (referred to as CACAG-VEN) in elderly AML patients (ClinicalTrials.gov:NCT05659992). All patients received induction treatment with aclarubicin (10 mg/m2/d on days 1, 3, and 5), azacitidine (75 mg/m2 on days 1&#x2013;7), cytarabine (75 mg/m2 bid on days 1&#x2013;5), chidamide (30 mg, twice/week for 2 weeks), and venetoclax (100 mg on day 1, 200 mg on day 2, 400 mg on days 3&#x2013;14). Granulocyte colony-stimulating factor 5 mg/kg/day was administered.</p>
</sec>
<sec>
<title>Results</title>
<p>Theoverall response rate was 97.5%, with a composite complete response (CRc) rate of 85.0% after one cycle of CACAG-VEN. Patients with adverse risk according to the ELN guidelines had CRc rates of 81.3%. No patients experienced early death within 30 days of therapy initiation. Grade 3 - 4 non-hematological adverse events included febrile neutropenia in 15 (37.5%) of 40 patients, pneumonia in three (7.5%), sepsis in two (5.0%) and blood bilirubin increase in one (2.5%). The 12-month overall survival rate was 73.4% (95% CI: 55.9&#x2013;84.8%). The median time to recovery was 15.0 (IQR 10.0-19.5) days for platelets &#x2265; 20000/mL and 13.0 (IQR 10.5-17.0) days for an absolute neutrophil count &#x2265; 1000 cells/mL after induction therapy.</p>
</sec>
<sec>
<title>Discussion</title>
<p>In conclusion, chidamide in combination with CAG and venetoclaxazacitidine was effective and well tolerated in elderly patients with AML.</p>
</sec>
<sec>
<title>Clinical trial registration</title>
<p>
<uri xlink:href="https://www.clinicaltrials.gov/">https://www.clinicaltrials.gov/</uri>, identifier NCT05659992.</p>
</sec>
</abstract>
<kwd-group>
<kwd>venetoclax</kwd>
<kwd>azacitidine</kwd>
<kwd>CACAG-VEN regimen</kwd>
<kwd>older patients</kwd>
<kwd>acute myeloid leukemia</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="9"/>
<word-count count="4217"/>
</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">
<title>Introduction</title>
<p>Older adults account for most cases, with a median age of 68 years at diagnosis (<xref ref-type="bibr" rid="B1">1</xref>). Elderly patients with AML often respond poorly to induction chemotherapy as a result of biological disease-related factors such as increased frequency of adverse-risk cytogenetic and molecular features, secondary acute myeloid leukemia, and increased expression of multidrug resistance phenotypes (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Furthermore, because of poor performance status, comorbidities, and reduced organ function, older patients may not be candidates for conventional cytotoxic induction therapies (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Thus, a crucial need exists to develop more effective, well tolerated therapies for elderly patients with acute myeloid leukemia.</p>
<p>With the development of epigenetic studies, a growing body of research has shown that epigenetic modifications play a crucial role in the development of chemoresistance. DNA methyltransferases (DNMTs) and histone-deacetylases (HDACs) are major epigenetic mediators and can be pharmacologically reversed by DNMT inhibitors or HDAC inhibitors. These agents include HDAC inhibitors, such as chidamide, vorinostat, and romidepsin, and DNM inhibitors, including azacitidine and decitabine. A previous study investigated DNMTi, cytarabine, aclarubicin, and G-CSF (DCAG) in the induction treatment for patients aged from 55 to 69 years old with newly diagnosed AML. In this study, patients in the DCAG group achieved similar overall response (ORR), complete remission (CR), overall survival (OS) and relapse-free survival (RFS) as those who received the &#x201c;3 + 7&#x201d; regimen. Notably, patients exhibited better tolerance to the DCAG regimen (<xref ref-type="bibr" rid="B7">7</xref>). HDACs are key regulators of gene expression in cells and have been investigated as important therapeutic targets for cancer and other diseases (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Chidamide is the first oral selective HDAC inhibitor for HDAC1, HDAC2, HDAC3, and HDAC10 and is likely to potentiate the sensitivity of cancer cells through the expansion of existing drug-binding sites and the establishment of novel interaction sites (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). In this study, chidamide was incorporated into the DCAG regimen with the aim of enhancing the response rate in patients with AML.</p>
<p>The anti-apoptotic protein B-cell lymphoma 2 (BCL-2) is highly expressed in leukemia stem cells and is linked to chemotherapy resistance and poor prognosis in acute myeloid leukemia patients (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). BCL-2 maintains myeloblast survival by binding and inhibiting the pro-apoptotic protein BAX, leading to mitochondrial reliance on BCL-2. BAX is released when BCL-2 is antagonized, causing mitochondrial outer membrane permeabilization and triggering cell death (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Venetoclax, a potent and selective oral BCL-2 inhibitor, has shown clinical efficacy as a monotherapy with a manageable safety profile in patients with relapsed or refractory AML (<xref ref-type="bibr" rid="B16">16</xref>). Venetoclax cannot precisely attack tumor cells but enhances anti-tumor effect of anthracyclines through the apoptosis. Therefore, it is crucial to combine venetoclax with other drugs (<xref ref-type="bibr" rid="B17">17</xref>). Venetoclax in combination with azacitidine has demonstrated a synergistic effect in preclinical models of AML cells (<xref ref-type="bibr" rid="B18">18</xref>). Venetoclax combined with low-dose cytarabine or demethylating drugs has been approved for older patients with newly diagnosed AML (<xref ref-type="bibr" rid="B19">19</xref>). With this rationale, we conducted a single-arm phase 2 trial to investigate the safety and efficacy of venetoclax combined with chidamide, azacitidine, cytarabine, aclarubicin, and G-CSF as an induction treatment (referred to as CACAG-VEN) for older adults (aged &#x2265; 60 years) with newly diagnosed AML.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Patients and procedures</title>
<p>We conducted a single-center, non-randomized, open-label, phase 2 study (ClinicalTrials.gov: NCT05659992) at the Chinese PLA General Hospital. The study was approved by the Ethics Committee of the Chinese PLA General Hospital and was executed in strict adherence to the principles outlined in the Declaration of Helsinki. Eligible patients were aged &#x2265; 60 years with confirmed diagnosis of AML, excluding cases of acute promyelocytic leukemia (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). All patients were treated at the Chinese PLA General Hospital between December 25, 2022 and June 5, 2024. A total of 40 patients were included in the study, and the calculation of the sample size was provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Methods</bold>
</xref>. Detailed information about the criteria for patient inclusion and exclusion is presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>.</p>
<p>All patients in this study were treated with the CACAG-VEN regimen over a 28-day cycle: intravenous aclarubicin (10 mg/m<sup>2</sup>, per day, on days 1, 3, and 5), subcutaneous azacitidine (75 mg/m<sup>2</sup> on days 1-7), intravenous cytarabine (75 mg/m<sup>2</sup> twice per day, on days 1-5), oral chidamide (30 mg, twice per week for 2 weeks), and oral venetoclax (100 mg on day 1, 200 mg on day 2, 400 mg on days 3&#x2013;14). Granulocyte colony-stimulating factor (G-CSF) 5 &#x3bc;g/kg per day was administered until granulocyte recovery (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Methods</bold>
</xref>).</p>
<p>The sample size was calculated according to the primary endpoint (overall response, ORR) of the study. Anthracyclines combined with cytarabine is the classic regimen for acute myeloid leukemia (AML) treatment. Investigators at the M.D. Anderson Cancer Center analyzed data on 998 older patients aged 65 and older receiving intensive chemotherapy at their institution, the ORR after induction therapy with &#x201c;3 + 7&#x201d; regimen was reported to be 20%-50% (<xref ref-type="bibr" rid="B6">6</xref>). The ORR of venetoclax in combination with decitabine or azacitidine in treatment-native, elderly patients with AML were 68%. Therefore, in the sample calculation, we chosen 35% as the reference ratio value and determined that the expected ORR for patients received with venetoclax combined with chidamide, azacitidine, cytarabine, aclarubicin, and G-CSF as an induction treatment (referred to as CACAG-VEN) was 68% (<xref ref-type="bibr" rid="B22">22</xref>). This study was planned at a 2-sided significance level &#x3b1;= 5% with a power of 1-&#x3b2; = 80%. Twenty-eight patients were required for each group as estimated using Z-Test for single sample rate. Allowing a drop-out rate of 10%, a total of more than 30 patients were required (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec id="s2_2">
<title>Endpoints</title>
<p>The primary endpoint was the overall response rate after one cycle of induction (ORR, CR plus complete response with incomplete blood cell count recovery [CRi], plus partial response [PR]) according to the modified International Working Group response criteria for AML (<xref ref-type="bibr" rid="B25">25</xref>). The secondary endpoints were composite complete response (CRc, CR+CRi), MRD after one or two cycles of induction, 1-year duration of response (DOR), cumulative incidence of relapse (CIR), event-free survival (EFS), and OS. Treatment-related adverse events were defined as adverse events that occurred from the first dose of the study treatment to 30 days after the discontinuation of treatment (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Methods</bold>
</xref>). The severity of adverse events was graded according to the Common Terminology Criteria for Adverse Events (CTCAE), version 5.0 (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2_3">
<title>Statistics</title>
<p>Continuous data are described as the median with interquartile range (IQR) or mean and standard deviation according to the normality of the distribution. Categorical data are described as n (%). The Kaplan&#x2013;Meier method was used to estimate the DOR, EFS, and OS. The cumulative incidence of relapse was estimated using a competing risk model. Death without relapse was defined as a competing event for relapse. Safety analysis was used to calculate the frequency of various events. Any difference for which the two-sided P &lt; 0.05 was considered statistically significant. Statistical analyses were performed using environment R (version 4.1.2), SPSS (version 27.0), and GraphPad Prism software (version 10.1.2).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient&#x2019;s characteristics</title>
<p>Between December 25, 2022, and June 5, 2024, 42 patients were screened for the study, of whom 40 were enrolled (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). Among the two excluded patients, one withdrew before treatment, and the other did not meet inclusion criteria. These patients were treated with the CACAG-VEN regimen. Baseline patient characteristics are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median age was 64.0 years (range: 60.0&#x2013;74.0 years), with 25 (62.5%) male patients. Thirty patients (75.0%) had <italic>de novo</italic> AML. Sixteen patients (40.0%) were categorized as adverse risk according to the ELN guidelines. Among the included patients, NPM1 was mutated in 20.0%, ASXL1 in 12.5%, DNMT3A in 12.5%, and TP53 in 10% of patients (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). All patients received at least one treatment with the CACAG-VEN regimen, 13 patients (32.5%) received only one cycle and 27 (67.5%) received the second cycle of the CACAG regimen. Twelve patients (30.0%) received allo-HSCT after chemotherapy.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Trial profile. CACAG-VEN, venetoclax combined with chidamide, azacitidine, cytarabine, aclarubicin, and granulocyte colony-stimulating factor; other therapy, including VAC (venetoclax combined with chidamide and azacitidin), VAPC (venetoclax combined with chidamide, azacitidine, cytarabine, and camrelizumab), CACHG (azacitidine combined with chidamide, homoharringtonine, cytarabine, and granulocyte colony-stimulating factor); allo-HSCT, allogeneic hematopoietic stem cell transplantation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1525110-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Patient demographics and clinical characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Patients (n=40)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, median (range) years</td>
<td valign="top" align="center">64.0 (60.0-74.0)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Gender, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">25 (62.5)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">AML type (n, %)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;<italic>De novo</italic>
</td>
<td valign="top" align="center">30 (75.0%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Secondary</td>
<td valign="top" align="center">10 (25.0%)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">ECOG performance score, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">12 (30.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">22 (55.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">6 (15.0)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Baseline parameters</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;WBC, 10<sup>9</sup>/L, median (range)</td>
<td valign="top" align="center">8.39 (1.22-176.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hb, g/L, median (range)</td>
<td valign="top" align="center">80.5 (2.84-163.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Plt, 10<sup>9</sup>/L, median (range)</td>
<td valign="top" align="center">58.5 (18.0-289.0)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Bone marrow blast cell proportion at baseline</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Median (range)</td>
<td valign="top" align="center">52.5 (17.3-93.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt; 30%, n (%)</td>
<td valign="top" align="center">10 (25.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265; 30% ~ &lt; 50%, n (%)</td>
<td valign="top" align="center">7 (17.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265; 50%, n (%)</td>
<td valign="top" align="center">23 (57.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Karyotype</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">39 (97.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Complex<sup>*</sup>
</td>
<td valign="top" align="center">1 (2.5)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Cytogenetic/molecular Risk (ELN 2022)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Favorable Risk</td>
<td valign="top" align="center">6 (15.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Intermediate Risk</td>
<td valign="top" align="center">18 (45.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Adverse Risk</td>
<td valign="top" align="center">16 (40.0%)</td>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Selected molecular mutation</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NPM1</td>
<td valign="top" align="center">8 (20.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ASXL1</td>
<td valign="top" align="center">5 (12.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;DNMT3A</td>
<td valign="top" align="center">5 (12.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TP53</td>
<td valign="top" align="center">4 (10.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IDH1/2</td>
<td valign="top" align="center">4 (10.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TET2</td>
<td valign="top" align="center">3 (7.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;FLT3-ITD</td>
<td valign="top" align="center">3 (7.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RUNX1</td>
<td valign="top" align="center">3 (7.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NRAS</td>
<td valign="top" align="center">3 (7.5%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ECOG, eastern cooperative oncology group; WBC, white blood cells; Hb, hemoglobin; Plt, platelets; ELN, European LeukemiaNet; Complex<sup>*</sup>, defined as a karyotype with three or more chromosomal abnormalities, without restriction on the type of abnormality.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Heatmap of the study patients depicting mutations and overall response after the first cycle of CACAG+VEN regimen. CR, complete response; CRi, CR along with incomplete blood count recovery; PR, partial response; NR, no response; CACAG+VEN, venetoclax combined with chidamide, azacitidine, cytarabine, aclarubicin, and granulocyte colony-stimulating factor.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1525110-g002.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Clinical response</title>
<p>All 40 enrolled patients completed the first course and were included in the response assessment. The ORR was 97.5% (39/40; 95% CI: 85.3&#x2013;99.9) after one cycle of the regimen. The CRc rate was 85.0% (34/40; 95% CI: 69.5&#x2013;93.8). Twenty-five patients (62.5%; 95% CI: 45.8&#x2013;76.8) achieved CR, 9 patients (22.5%; 95% CI: 11.4&#x2013;38.9) achieved CRi, and 5 patient (12.5%; 95% CI: 4.7&#x2013;27.6) achieved PR (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). One of the 40 patients did not respond to one cycle of CACAG-VEN therapy. This patient received the second cycle of CACAG-VEN for remission induction and achieved CR with an MRD-positive status, achieving MRD-negative status after allo-HSCT. The CRc rate was 83.3% (5/6; 95% CI: 36.5&#x2013;99.1) in patients with ELN-favorable risk, 88.9% (16/18; 95% CI: 63.9&#x2013;98.0) in patients with intermediate risk, and 81.3% (13/16; 95% CI: 54.0&#x2013;95.0) in patients with adverse risk (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Among those who reached complete remission, measurable residual disease-negativity was reached in 52.9% (18/34, 95% CI: 35.4&#x2013;69.8) of the total patients, 40.0% (2/5, 95% CI: 7.3&#x2013;83.0) in the favorable risk group, 50.0% (8/16, 95% CI: 25.5&#x2013;74.9) in the intermediate risk group, and 61.5% (8/13, 95% CI: 32.3&#x2013;84.9) in the adverse risk group (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In the analysis of the molecular subgroups, patients with RUNX1, FLT3-ITD, or TET2 mutations exhibited CRc rates of 100% (3/3,95% CI: 31.0&#x2013;100.0, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The CRc rates for patients with DNMT3A, TP53, IDH1/2, NPM1, NRAS, and ASXL1 were 100.0% (5/5, 95% CI: 46.3&#x2013;100.0), 100.0% (4/4, 95% CI: 39.6&#x2013;100.0), 100.0% (4/4, 95% CI: 39.6&#x2013;100.0), 87.5% (7/8, 95% CI: 46.7&#x2013;99.3), 66.7% (3/4,95% CI: 12.5&#x2013;98.2), and 60.0% (3/5, 95% CI: 17.0-92.7).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Response after first cycle of the CACAG-VEN regimen (n= 40).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Overall response rate</th>
<th valign="middle" rowspan="2" align="center">Patients (n=40)</th>
<th valign="middle" colspan="3" align="center">Patients (n=30)</th>
</tr>
<tr>
<th valign="top" align="center">Favourable Risk*<break/>(n=6)</th>
<th valign="top" align="center">Intermediate Risk*<break/>(n=18)</th>
<th valign="top" align="center">Adverse Risk*<break/>(n=16)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">ORR % ( 95%CI)</td>
<td valign="middle" align="center">97.5 (85.3-99.9)</td>
<td valign="middle" align="center">100.0 (51.7-100.0)</td>
<td valign="middle" align="center">100.0 (78.1-100.0)</td>
<td valign="middle" align="center">93.8 (67.7-99.7)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;CR or CRi, n (%, 95%CI)</td>
<td valign="middle" align="center">34 (85.0, 69.5-93.8)</td>
<td valign="middle" align="center">5 (83.3, 36.5-99.1)</td>
<td valign="middle" align="center">16 (88.9, 63.9-98.0)</td>
<td valign="middle" align="center">13 (81.3, 54.0-95.0)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;CR, n (%, 95%CI)</td>
<td valign="middle" align="center">25 (62.5, 45.8-76.8)</td>
<td valign="middle" align="center">4 (66.7, 24.1-94.0)</td>
<td valign="middle" align="center">12 (66.7, 41.1-85.7)</td>
<td valign="middle" align="center">9 (56.3, 30.6-79.3)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;CRi, n (%, 95%CI)</td>
<td valign="middle" align="center">9(22.5, 11.4-38.9)</td>
<td valign="middle" align="center">1 (16.7, 0.9-63.5)</td>
<td valign="middle" align="center">4 (22.2, 7.3-48.1)</td>
<td valign="middle" align="center">4 (25.0, 8.3-52.3)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PR, n (%, 95%CI)</td>
<td valign="middle" align="center">5 (12.5, 4.7-27.6)</td>
<td valign="middle" align="center">1 (16.7, 0.9-63.5)</td>
<td valign="middle" align="center">2 (11.1, 2.0-36.0)</td>
<td valign="middle" align="center">2 (12.5, 2.2-39.6)</td>
</tr>
<tr>
<td valign="middle" align="left">NR, n (%, 95%CI)</td>
<td valign="middle" align="center">1 (2.5, 0.0-14.7)</td>
<td valign="middle" align="center">0 (0.0, 0.0-48.3)</td>
<td valign="middle" align="center">0 (0.0, 0.0-21.8)</td>
<td valign="middle" align="center">1 (6.3, 0.3-32.3)</td>
</tr>
<tr>
<td valign="middle" align="left">MRD-negative rate in patients with response (95%CI)</td>
<td valign="middle" align="center">52.9 (18/34, 35.4-69.8)</td>
<td valign="middle" align="center">40.0 (2/5, 7.3-83.0)</td>
<td valign="middle" align="center">50.0 (8/16, 25.5-74.5)</td>
<td valign="middle" align="center">61.5 (8/13, 32.3-84.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CR, complete response; CRi, CR along with incomplete blood count recovery; PR, partial response; NR, no response; ORR, overall response; MRD, measurable residual disease. *, patients were stratified based on ELN (2022) risk assessment criteria; CACAG-VEN, venetoclax combined with chidamide, azacitidine, cytarabine, aclarubicin, and granulocyte colony-stimulating factor.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Overall response in patients received one cycle of therapy. CR, complete response; CRi, CR along with incomplete blood count recovery; PR, partial response; NR, no response; MRD, measurable residual disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1525110-g003.tif"/>
</fig>
<p>Following the first cycle, 7 patients refused further treatment. The remaining patients (n = 33) received subsequent therapy as follows: 27 received the second cycle of CACAG-VEN therapy, 3&#xa0;underwent allo-HSCT after achieving CR, and 3 received other treatment. Among the patients (n=27) receiving the second cycle of the CACAG regimen, one patient dying before the bone marrow evaluation, the rate of CRc was 96.2% (CR: 53.9%, 14/26; CRi: 42.3%, 11/26, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>). Notably, those receiving two cycle of CACAG-VEN regimen tended to exhibit a higher MRD-negativity rate than those receiving one cycle of CACAG-VEN regimen. (76.0% vs. 52.9%, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Survival</title>
<p>The follow-up cutoff date was December 20, 2024.The median duration of follow-up was 462 days (198-726). No deaths occurred in AML patients within 30 days of protocol therapy. The OS rate at 12 months was 73.4% (95% CI: 55.9&#x2013;84.8, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The 12-month EFS,DOR and CIR was 64.9% (95% CI: 47.0&#x2013;78.1, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), 67.0% (95% CI: 48.9&#x2013;79.9, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>) and 25.1% (95% CI: 12.1&#x2013;40.4, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Cumulative incidence of OS <bold>(A)</bold>, EFS <bold>(B)</bold>, DOR <bold>(C)</bold>, and CIR <bold>(D)</bold> in the entire study cohort (n=40). OS, overall survival; EFS, event-free survival; DOR, duration of response; CIR, cumulative incidence of relapse.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1525110-g004.tif"/>
</fig>
<p>Among patients achieving CRc after one cycle of CACAG-VEN, survival outcomes were comparable in OS, EFS, and DOR between MRD-negative and -positive patients (OS at 12-month: 71.8% [MRD-] vs. 64.8% [MRD+], <italic>P</italic> = 0.81; EFS at 12-month: 66.2% [MRD-] vs. 65.6% [MRD+], <italic>P</italic> = 0.87; DOR at 12-month: 66.2% [MRD-] vs. 65.6% [MRD+], <italic>P</italic> = 0.91, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S3A&#x2013;C</bold>
</xref>). For patients who achieved CRc after one cycle of CACAG-VEN, MRD-negative patients showed a trend of decreased CIR compared to MRD-positive patients, albeit with non-significant statistical differences between the groups. (CIR at 12-month: 17.1% [MRD-] vs.28.1% [MRD+], <italic>P</italic> = 0.51, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3D</bold>
</xref>). Compared with patients who did not receive allo-HSCT, those who received allo-HSCT were comparable in OS and EFS. (OS at 12 months, 82.5% [allo-HSCT] vs. 69.4% [non-HSCT], <italic>P</italic> = 0.75; EFS at 12 months, 53.5% [allo-HSCT] vs. 65.9% [non-HSCT], <italic>P</italic> = 0.98, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S4A&#x2013;B</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Safety</title>
<p>Overall, this regimen was overall tolerable, with all patients completing treatment without dose reduction. No patients experienced early death within 30 days of therapy initiation. No grade 5 adverse events were observed. The most common grade 3&#x2013;4 non-hematological adverse events were febrile neutropenia (15 [37.5%] of 40 patients), pneumonia (three [7.5%]), sepsis (two [5.0%]) and blood bilirubin increase (one [2.5%], <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). No venous thrombosis or tumor lysis syndrome events were observed. The most common grade 3&#x2013;4 hematological toxicities were neutropenia (40 [100.0%] patients), thrombocytopenia (40 [100.0%]), and anemia (40 [100.0%], <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). No treatment-related deaths occurred. The median time to recovery of an absolute neutrophil count of 1000 or more cells per &#x3bc;L was 15.0 (IQR 10.0-19.5) days. The median time to recovery of a platelet count of 20000 or more platelets per &#x3bc;L was 13.0 (IQR 10.5-17.0) days (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S4</bold>
</xref>). Packed red cells and platelets transfused for patients were 8.5 (range: 2.0&#x2013;23.5) units and 8.5 (range: 2.0&#x2013;19.5) units.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Adverse event during first cycle of therapy (n=40).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="middle" align="center">Grade 1</th>
<th valign="middle" align="center">Grade 2</th>
<th valign="middle" align="center">Grade 3</th>
<th valign="middle" align="center">Grade 4</th>
<th valign="middle" align="center">Total, n(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Febrile neutropenia</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">13 (32.5%)</td>
<td valign="middle" align="center">2 (5.0%)</td>
<td valign="middle" align="center">15 (37.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Blood bilirubin increase</td>
<td valign="middle" align="center">8 (20.0%)</td>
<td valign="middle" align="center">3 (7.5%)</td>
<td valign="middle" align="center">1 (2.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">12 (30.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Fatigue</td>
<td valign="middle" align="center">4 (10.0%)</td>
<td valign="middle" align="center">5 (12.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">9 (22.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Diarrhoea</td>
<td valign="middle" align="center">9 (22.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">9 (22.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Nausea</td>
<td valign="middle" align="center">6 (15.0%)</td>
<td valign="middle" align="center">3 (7.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">9 (22.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine increase</td>
<td valign="middle" align="center">5 (12.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">5 (12.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Headache</td>
<td valign="middle" align="center">4 (10.0%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">4 (10.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Vomiting</td>
<td valign="middle" align="center">3 (7.5%)</td>
<td valign="middle" align="center">1 (2.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">4 (10.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Rash</td>
<td valign="middle" align="center">4 (10.0%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">4 (10.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Pruritus</td>
<td valign="middle" align="center">2 (5.0%)</td>
<td valign="middle" align="center">1 (2.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (7.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Pneumonia</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (7.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (7.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Sepsis</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (5.0%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (5.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Constipation</td>
<td valign="middle" align="center">2 (5.0%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (5.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Dizziness</td>
<td valign="middle" align="center">1 (2.5%)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1 (2.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Anaemia</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">39 (97.5%)</td>
<td valign="middle" align="center">1 (2.5%)</td>
<td valign="middle" align="center">40 (100.0%)</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Haematological adverse events</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Neutrophil count decrease</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">40 (100.0%)</td>
<td valign="middle" align="center">40 (100.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White blood cell count decrease</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1 (2.5%)</td>
<td valign="middle" align="center">39 (97.5%)</td>
<td valign="middle" align="center">40 (100.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Platelet count decrease</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (7.5%)</td>
<td valign="middle" align="center">37 (92.5%)</td>
<td valign="middle" align="center">40 (100.0%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This single-arm, phase 2 trial showed that the addition of chidamide to CAG plus venetoclax -azacitidine regimen could lead to a high ORR (97.5%) and CRc rate (85.0%) after one cycle of CACAG-VEN induction therapy in adults &#x2265;60 years with newly diagnosed AML. Results from this study show that these drug combinations are well tolerated, with no early-death within 30days and promising clinical activity in terms of overall response and overall survival in patients aged &#x2265;60 years with newly diagnosed AML.</p>
<p>The CACAG regimen showed a favorable response rates in the context of published studies on intensive chemotherapy. An ORR of 97.5%, including a composite CRc rate of 85.0%, was attained after one cycle of CACAG-VEN. The 3 + 7 regimen, using daunorubicin or idarubicin for 3 days and cytarabine for 7 days, has shown a complete remission rate of 70.0% in patients with good performance status, good organ function, and who do not have adverse cytogenetics (<xref ref-type="bibr" rid="B27">27</xref>). However, a number of AML patients over the age of 60 had poor performance status, or elevated bilirubin or creatinine levels which excluded them from conventional chemotherapy (<xref ref-type="bibr" rid="B6">6</xref>). The tolerability of the 3 + 7 regimen is limited in older and less fit patients. Based on its activity in combination with lower intensity chemotherapy, venetoclax has emerged as an important part of the standard of care for older or unfit patients with AML. For fit patients, adding venetoclax to modified IA regimen as the first line induction treatment of AML in patients aged &#x2265;60 years showed CRc of 68% (in 28 patients) (<xref ref-type="bibr" rid="B28">28</xref>). In a study using VEN plus decitabine or azacitidine in treatment-naive, elderly patients with AML, the CRc rate after one cycle of the regimen was 67% (<xref ref-type="bibr" rid="B22">22</xref>). In contrast, our research found the high ORR and CRc rates across the ELN risk groups. (favorable 100.0% [ORR], 83.3% [CRc]; intermediate: 100.0% [ORR], 88.9% [CRc]; adverse: 93.8% [ORR], 81.3% [CRc]). In our subgroup analysis, the incidence of composite complete remission was notably improved across all AML genomic risk groups. We showed that patients with mutations in RUNX1, TET2, DNMT3A, or IDH1/2 who received CACAG-VEN induction therapy achieved a CRc rate of 100.0%. In particular, the TP53 mutation in AML is associated with poor prognosis (<xref ref-type="bibr" rid="B29">29</xref>). Four patients with TP53 mutations achieved CRc after undergoing CACAG-VEN induction therapy alone, of which 3 have been alive until the last follow-up, while one patient died of recurrence one year later. The response was favorable in TP53 mutant patients, highlighting efficacy in patients with poor prognosis. Therefore, a complete remission rate of 85.0% after one cycle of CACAG-VEN regimen indicates a stronger anti-leukemia activity of the regimen than that of conventional intensive chemotherapy.</p>
<p>In addition, the high rates of deep remission (with MRD-negativity) with the CACAG-VEN regimen could be observed in our cohort. After one cycle of the VEN plus decitabine or azacitidine regimen in elderly patients, the MRD-negative rates were only 28.0% (<xref ref-type="bibr" rid="B22">22</xref>). In our study, a high MRD-negative rate was observed in adverse-risk patients after one cycle of CACAG-VEN regimen (61.5%). In particular, after two courses of treatment with CACAG-VEN, a high MRD-negative rate was observed across the ELN risk groups. (favorable 100.0%; intermediate: 66.7%; adverse: 75.0%). Usually, the high rates of deep remission could potentially improve survival outcomes of patients with AML. Among these patients who received one cycle of CACAG-VEN, MRD-negative patients showed a trend of increased OS and decreased CIR compared to MRD-positive patients, albeit with non-significant statistical differences between the groups. Limitations of our study was that only 40 patients were included and the median follow-up duration was relatively short, so additional studies with more patients and a long-term follow-up are required.</p>
<p>One of the main concerns when adding venetoclax-azacitidine to intensive chemotherapy is the potential of increased adverse events. The most common grade 3&#x2013;4 non-hematological adverse events were febrile neutropenia (37.5%), pneumonia (7.5%), sepsis (5.0%), and blood bilirubin increase (2.5%). These results were similar in frequency and intensity to rates reported in previous studies. In particular, the median time to recovery was 15.0 days for platelets &#x2265; 20000/&#x3bc;L and 13.0 days for an absolute neutrophil count &#x2265; 1000 cells/&#x3bc;L after the first cycle of the CACAG-VEN regimen, which were more rapid recovery times than in previous studies that showed a blood cell count recovery time of about 4 weeks (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>This treatment regimen not only targets the leukemia cells directly but also modulates the immune environment, which plays a crucial role in the overall response and survival of patients. Epigenetic manipulation has been reported to induce immune modulatory effects, which involve the heightened expression of tumor-associated antigens (<xref ref-type="bibr" rid="B31">31</xref>). The combination of these drugs can modulate the immune microenvironment in the bone marrow. Chidamide, in particular, has been shown to increase the expression of major histocompatibility complex (MHC) molecules on tumor cells and promote dendritic cell (DC) maturation, making them more visible to the immune system (<xref ref-type="bibr" rid="B32">32</xref>). This enhances the ability of cytotoxic T cells to recognize and kill leukemia cells.</p>
<p>To our knowledge, the regimen of chidamide in combined with CAG and venetoclax-azacitidine demonstrated promising efficacy in elderly patients with AML, with a high ORR rate (97.5%) and CRc rate (85.0%). The CACAG-VEN regimen was well tolerated, with no early-death within 30days and short duration of pancytopenia. A well designed randomized trial with long-term follow-up is now warranted.</p>
</sec>
</body>
<back>
<sec id="s5" 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="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Natural Science Foundation of China. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>QL: Data curation, Writing &#x2013; original draft. JY: Project administration, Supervision, Writing &#x2013; original draft. LL: Conceptualization, Project administration, Writing &#x2013; original draft. XZ: Data curation, Formal analysis, Writing &#x2013; original draft. ML: Data curation, Writing &#x2013; original draft. LX: Data curation, Writing &#x2013; original draft. SH: Project administration, Supervision, Writing &#x2013; review &amp; editing. YJ: Project administration, Supervision, Writing &#x2013; review &amp; editing. LD: Funding acquisition, Methodology, Project administration, Resources, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was partially supported by grants from the National Key R&amp;D Program of China (2023YFC2507800,2021YFA1100904), the National Natural Science Foundation of China (Nos.82270162,82270224,82200169), the Beijing Natural Science Foundation of China (No. 7222175), the Military medical support innovation and generate special program (21WQ034), the Special Research Found for Health Protection(24BJZ30, 21BJZ30), Beijing Nova Program cross-cutting Project (20230484407), the Logistics Independent Research Program (2023hqzz09), Capital&#x2019;s Funds for Health Improvement and Research (2024-2-5063).</p>
</sec>
<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.2025.1525110/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1525110/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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