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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.2025.1509588</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>HLA-mismatched stem cell microtransplant prolonged overall survival and promoted immunological reconstitution for multiple myeloma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lei</surname>
<given-names>Yangyang</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">
<name>
<surname>Cai</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Zhiqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Anli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Qiao</surname>
<given-names>Jianhui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xinrui</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-type="author">
<name>
<surname>Peng</surname>
<given-names>Fei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1113457/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yingxin</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-type="author">
<name>
<surname>Chen</surname>
<given-names>Jiaxin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Guan</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1168453/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Changlin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<contrib contrib-type="author">
<name>
<surname>Lou</surname>
<given-names>Xiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Kaixun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2131630/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ang</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1370492/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Qiyun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yajing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ai</surname>
<given-names>Huisheng</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/2908378/overview"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</surname>
<given-names>Mei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Senior Department of Hematology, the Fifth Medical Center of PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Chinese PLA Medical School, Chinese PLA General Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Hematology, Strategic Support Force Medical Center</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Hematology, Innovvy for Biotechnology Experiments Center</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Srinivas Devarakonda, The Ohio State University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Rao Prabhala, Harvard Medical School, United States</p>
<p>Ramon Mohanlal, Independent Researcher, New York, NY, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Huisheng Ai, <email xlink:href="mailto:huishengai@163.com">huishengai@163.com</email>; Mei Guo, <email xlink:href="mailto:guom196801@aliyun.com">guom196801@aliyun.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;ORCID: Mei Guo, <uri xlink:href="https://orcid.org/0000-0001-6954-8873">orcid.org/0000-0001-6954-8873</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1509588</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>03</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Lei, Cai, Liu, Xie, Qiao, Wang, Chen, Peng, Zhao, Chen, Guan, Yu, Lou, Hu, Zhang, Sun, Huang, Ai and Guo</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lei, Cai, Liu, Xie, Qiao, Wang, Chen, Peng, Zhao, Chen, Guan, Yu, Lou, Hu, Zhang, Sun, Huang, Ai and Guo</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>Despite advances in the treatment of multiple myeloma, a proportion of patients still hardly achieve desired prognosis. Although microtransplant (MST) has proved promising results in treating several hematological malignancies, it has not been studied in multiple myeloma.</p>
</sec>
<sec>
<title>Methods</title>
<p>We performed a retrospective analysis of multiple myeloma patients treated with MST at our institution. Their clinical information and outcome measurements were collected. Furthermore, the fluctuation of donor microchimerism after MST, as well as the alteration of immune function before and after MST were analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>Twenty patients receiving MST were enrolled from June 2008, to May 2024, with an overall response rate of 17/20. The 6-year overall survival (OS) and progression-free survival (PFS) rates were 64.7% and 35.3%, respectively, with no graft-versus-host disease or non-relapse mortality. Incidence of controlled fever and Grade I cytokine release syndrome (CRS) was 40.8%. The OS were comparable between groups with age, International Staging System stage, and Mayo Stratification of Myeloma and Risk-Adapted Therapy stage. However, earlier Durie-Salmon stage, disease in VGPR or CR status prior to MST, and an increase in total cycle number of MST were significantly associated with longer OS. Donor microchimerism was detected in all available peripheral blood samples from 14 days to 6 months post-MST. Furthermore, MST resulted in increased proportions of total CD3+ T cells, and CD4+CD8- T cells in peripheral blood, as well as improved CD4:CD8 ratio and increased proportions of Th0 cells.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>MST extended PFS and OS, and benefit immune reconstitution in multiple myeloma patients. Therefore, MST is a promising treatment for multiple myeloma, especially those with high-risk cytogenetics.</p>
</sec>
</abstract>
<kwd-group>
<kwd>myeloma</kwd>
<kwd>immunotherapies</kwd>
<kwd>immunology</kwd>
<kwd>micro-transplant</kwd>
<kwd>microchimerism</kwd>
</kwd-group>
<contract-sponsor id="cn001">Natural Science Foundation of Beijing Municipality<named-content content-type="fundref-id">10.13039/501100004826</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="13"/>
<word-count count="4637"/>
</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>Multiple myeloma is a hematological malignancy that can be caused by abnormal proliferation of monoclonal plasma cells in the patient&#x2019;s bone marrow, leading to a series of clinical manifestations (<xref ref-type="bibr" rid="B1">1</xref>). Due to the clinical use of new drugs, patients&#x2019; survival has significantly improved compared to the past (<xref ref-type="bibr" rid="B2">2</xref>). At the same time, autologous hematopoietic stem cell transplantation can effectively prolong progression-free survival and overall survival by improving the bone marrow hematopoietic microenvironment and achieving deep disease remission through myeloablative conditioning. Therefore, single or sequential autologous hematopoietic stem cell transplantation combined with maintenance therapy are currently standard methods for treating multiple myeloma (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>However, autologous hematopoietic stem cell transplantation is generally only suitable for patients under 65 years (<xref ref-type="bibr" rid="B3">3</xref>) or elderly patients with good physical condition. High-dose melphalan can cause adverse reactions such as cardiac toxicity. Additionally, delayed recovery of neutrophils and platelets can increase the risk of severe infection and bleeding (<xref ref-type="bibr" rid="B4">4</xref>). Furthermore, factors such as patient&#x2019;s physical condition and stem cell mobilization effect can affect the quantity and quality of hematopoietic stem cell collection, bringing uncertain factors to subsequent transplantation.</p>
<p>Patients with high-risk genetic factors and short-term relapse after autologous transplantation may benefit from allogeneic hematopoietic stem cell transplantation (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Although strategies such as reduced-intensity conditioning and post-transplant cyclophosphamide are used to reduce drug toxicity and decrease the incidence of GVHD (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), the higher transplant-related mortality (TRM) still limits the use of allogeneic transplantation for multiple myeloma.</p>
<p>MST is a treatment method combining chemotherapy with the infusion of G-CSF mobilized HLA-mismatched donor peripheral blood stem cells. MST can promote hematopoietic recovery and extend progression-free survival and overall survival for patients with different types of diseases such as acute myeloid leukemia, acute lymphoblastic leukemia, and non-Hodgkin&#x2019;s lymphoma (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). However, its application in MM has not been reported. In this study, we retrospectively analyzed data from 20 patients with MM who received MST treatment, in order to explore new strategies for the treatment of multiple myeloma.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients and donors</title>
<p>From June 1st, 2008, to May 10th, 2024, patients aged 40-74 years who were diagnosed with multiple myeloma were screened. The diagnosis criteria refer to the International Myeloma Working Group Criteria for Diagnosis of Multiple Myeloma (<xref ref-type="bibr" rid="B19">19</xref>), and the prognosis stratification refers to mSMART (<xref ref-type="bibr" rid="B20">20</xref>). Patients undergoing MST must meet the following criteria: 1. Voluntary participation and signing of informed consent form; 2. Peripheral blood hematopoietic stem cells provided by healthy donors are available; 3. Diagnosed with multiple myeloma and in initial diagnosis or post-induction phase (PR, VGPR, CR or relapse). Exclusion criteria include: 1. Severe organ dysfunction including NYHA grade III-IV heart failure, liver failure, renal failure, etc.; 2. Severe embolism or thrombotic events; 3. Pregnancy and lactation; 4. Severe infectious diseases such as aspergillosis.</p>
<p>Donor selection criteria include: HLA (human leucocyte antigen) typing &#x2264;7/10 or &#x2264;4/6 matched relative or unrelated donors, physical examination meets the conditions for donating hematopoietic stem cells, informed consent obtained and able to tolerate peripheral blood mononuclear cell collection procedure. Donors with HLA typing containing 3 or more homozygous loci are excluded.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment design</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Conditioning regimen for MST</title>
<p>The induction regimens for patients undergoing MST include but are not limited to VCd and VRd. Definitions of response and progression are based on the IMWG criteria (<xref ref-type="bibr" rid="B21">21</xref>). The conditioning regimen for MST includes VMd (subcutaneous injection of bortezomib 1.3mg/m<sup>2</sup> on days 1, 4, 8, and 11, intravenous injection of melphalan 30-40mg/m<sup>2</sup> on days 1-2, and intravenous injection of dexamethasone 20mg/d on days 1-2, 4-5, 8-9, and 11-12) or VAd (subcutaneous injection of bortezomib 1.3mg/m<sup>2</sup> on days 1, 4, 8, and 11, intravenous injection of adriamycin 30mg/m<sup>2</sup> on days 1-2, and intravenous injection of dexamethasone 20mg/d on days 1-2, 4-5, 8-9, and 11-12). Donor G-CSF-mobilized peripheral blood mononuclear cells (GPBMCs) are infused on the 5th day of condition. GVHD, cytomegalovirus infection, and Pneumocystis carinii infection prevention are not performed before or after MST.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Mobilization and apheresis of donor peripheral blood mononuclear cells</title>
<p>After mobilizing with G-CSF for 5 days, the donor&#x2019;s PBMCs were isolated and collected. Freshly collected donor cells will be used for the first infusion. The other collected cells were divided and frozen in liquid nitrogen. The median numbers of mononuclear, CD34+, and CD3+ cells infused per course were 2.75&#xd7;10<sup>8</sup>/Kg (range 1.13-3.42&#xd7;10<sup>8</sup>/Kg), 2.03&#xd7;10<sup>6</sup>/Kg (range 0.29-4.07&#xd7;10<sup>6</sup>/Kg), and 1.02&#xd7;10<sup>8</sup>/Kg (range 0.48-1.60&#xd7;10<sup>8</sup>/Kg), respectively.</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Response criteria and outcome evaluation</title>
<p>OS is defined as the duration from diagnosis to death or last follow-up (until May 2024). PFS is defined as the duration from initial treatment to disease progression or death for any reason. Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 was used to grade cytopenia, infection, fever, CRS, and organ toxicities (<xref ref-type="bibr" rid="B22">22</xref>). Neutrophil recovery is defined as the first day of three consecutive days that neutrophils are higher than 0.5&#xd7;10<sup>9</sup>/L, and platelet recovery is defined as the first day of three consecutive days that platelets are higher than 25&#xd7;10<sup>9</sup>/L independent of transfusion. The occurrence and grading of acute/chronic GVHD are determined by the IBMTR diagnosis criteria for graft-versus-host disease (<xref ref-type="bibr" rid="B23">23</xref>).</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Microchimerism assessment</title>
<p>After donor cell infusion, the donor microchimerism was detected using an indel-primer-based real-time PCR method on day +1, day +7, and days after hematopoietic recovery as previously described (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s2_2_5">
<label>2.2.5</label>
<title>Analysis of Immune function and T cell cytotoxicity</title>
<p>Immune function and T lymphocyte cytotoxicity testing were performed using flow cytometry 2-3 weeks before and 2 weeks after the infusion of donor GPBMCs. In the immune function test, helper/inducer T cells, suppressor/cytotoxic T cells, total T lymphocytes, &#x3b3;/&#x3b4; T cells, B cells, NK cells, NKT cells, cytotoxic T cells, suppressive T cells, regulatory T cells, Th0 cells, Th1 cells, Th2 cells, Tc0 cells, Tc1 cells, and Tc2 cells were defined as CD3<sup>+</sup>CD4<sup>+</sup>CD8<sup>-</sup>, CD3<sup>+</sup>CD4<sup>-</sup>CD8<sup>+</sup>, CD3<sup>+</sup>CD19<sup>-</sup>, CD3<sup>+</sup>CD4<sup>-</sup>CD8<sup>-</sup>, CD3<sup>-</sup>CD19<sup>+</sup>, CD3<sup>-</sup>CD(16 + 56)<sup>+</sup>, CD3<sup>+</sup>CD(16 + 56)<sup>+</sup>, CD3<sup>+</sup>CD8<sup>+</sup>CD28<sup>+</sup>, CD3<sup>+</sup>CD8<sup>+</sup>CD28<sup>-</sup>, CD4<sup>+</sup>CD25<sup>+</sup>CD127<sup>dim</sup>, CD3<sup>+</sup>CD4<sup>+</sup>IFN-&#x3b3;<sup>+</sup>IL-4<sup>+</sup>, CD3<sup>+</sup>CD4<sup>+</sup>IFN-&#x3b3;<sup>+</sup>IL-4<sup>-</sup>, CD3<sup>+</sup>CD4<sup>+</sup>IFN-&#x3b3;<sup>-</sup>IL-4<sup>+</sup>, CD3<sup>+</sup>CD8<sup>+</sup>IFN-&#x3b3;<sup>+</sup>IL-4<sup>+</sup>, CD3<sup>+</sup>CD8<sup>+</sup>IFN-&#x3b3;<sup>+</sup>IL-4<sup>-</sup>, and CD3<sup>+</sup>CD8<sup>+</sup>IFN-&#x3b3;<sup>-</sup>IL-4<sup>+</sup>, respectively.</p>
</sec>
<sec id="s2_2_6">
<label>2.2.6</label>
<title>Statistical analysis</title>
<p>SPSS 19 software was used for all the statistical analyses. Survival data was analyzed by means of log-rank test and the survival curves were made by the Kaplan-Meier method. The T-test or Wilcoxon-test was used to assess the probability of significant differences in survivals. Statistical significance was defined as P &lt;0.05.</p>
</sec>
<sec id="s2_2_7">
<label>2.2.7</label>
<title>Ethics approval</title>
<p>This study protocol has been reviewed by our center&#x2019;s Human Ethics Committee and is in accordance with the Declaration of Helsinki. All patients and donors signed an informed consent form before MST.</p>
</sec>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patient characteristics</title>
<p>This study included a total of 20 patients. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> summarizes the characteristics and risk stratification of the enrolled patients. Of the 20 patients, 9 had high-risk genetic features. 14 were in VGPR or CR status, 2 in PR, and 3 in relapse status before MST. One patient was newly diagnosed who had not received any chemotherapy. 17 patients received GPBMC infusion from related donors, and 3 patients from unrelated donors. The median number of MST cycles received by each patient was 3, with a maximum of 13. The median single cell infusion doses of MNC, CD34, and CD3 were 2.75&#xd7;10<sup>8</sup>/Kg, 2.03&#xd7;10<sup>6</sup>/Kg, and 1.02&#xd7;10<sup>8</sup>/Kg, respectively.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameter</th>
<th valign="middle" align="center">MST (n=20)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age,median years (range)</td>
<td valign="middle" align="center">57 (40-74)</td>
</tr>
<tr>
<td valign="middle" align="left">Male sex,n (%)</td>
<td valign="middle" align="center">13 (65)</td>
</tr>
<tr>
<td valign="middle" align="left">DS stage I-II,n (%)</td>
<td valign="middle" align="center">13 (65)</td>
</tr>
<tr>
<td valign="middle" align="left">DS stage III,n (%)</td>
<td valign="middle" align="center">7 (35)</td>
</tr>
<tr>
<td valign="middle" align="left">ISS I-II,n (%)</td>
<td valign="middle" align="center">19 (95)</td>
</tr>
<tr>
<td valign="middle" align="left">ISS III,n (%)</td>
<td valign="middle" align="center">1 (5)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Donor type,n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">Related</td>
<td valign="middle" align="center">17 (85)</td>
</tr>
<tr>
<td valign="middle" align="left">Unrelated</td>
<td valign="middle" align="center">3 (15)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">MM type,n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">IgG</td>
<td valign="middle" align="center">15 (75)</td>
</tr>
<tr>
<td valign="middle" align="left">IgA</td>
<td valign="middle" align="center">2 (10)</td>
</tr>
<tr>
<td valign="middle" align="left">IgD</td>
<td valign="middle" align="center">2 (10)</td>
</tr>
<tr>
<td valign="middle" align="left">Light chain</td>
<td valign="middle" align="center">1 (5)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Molecular cytogenetic abnormalities, positive,n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">del13q</td>
<td valign="middle" align="center">3 (15)</td>
</tr>
<tr>
<td valign="middle" align="left">del17p</td>
<td valign="middle" align="center">3 (15)</td>
</tr>
<tr>
<td valign="middle" align="left">t (4;14)</td>
<td valign="middle" align="center">2 (10)</td>
</tr>
<tr>
<td valign="middle" align="left">1q gains</td>
<td valign="middle" align="center">4 (20)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">SMART,n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">standard risk</td>
<td valign="middle" align="center">11 (55)</td>
</tr>
<tr>
<td valign="middle" align="left">high risk</td>
<td valign="middle" align="center">9 (45)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Response prior to MST,n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">VGPR and CR</td>
<td valign="middle" align="center">14 (70)</td>
</tr>
<tr>
<td valign="middle" align="left">PR</td>
<td valign="middle" align="center">2 (10)</td>
</tr>
<tr>
<td valign="middle" align="left">Relapse</td>
<td valign="middle" align="center">3 (15)</td>
</tr>
<tr>
<td valign="middle" align="left">untreated</td>
<td valign="middle" align="center">1 (5)</td>
</tr>
<tr>
<td valign="middle" align="left">Median cycle of MST, (Range)</td>
<td valign="middle" align="center">3 (1-13)</td>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">Dose of DCI</th>
</tr>
<tr>
<td valign="middle" align="left">Median MNC (range)/&#xd7;10<sup>8</sup>/Kg</td>
<td valign="middle" align="center">2.75 (1.13-3.42)</td>
</tr>
<tr>
<td valign="middle" align="left">Median CD34 (range)/&#xd7;10<sup>6</sup>/Kg</td>
<td valign="middle" align="center">2.03 (0.29-4.07)</td>
</tr>
<tr>
<td valign="middle" align="left">Median CD3 (range)&#xd7;10<sup>8</sup>/Kg</td>
<td valign="middle" align="center">1.02 (0.48-1.6)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MST, microtransplant; DS, Durie-Salmon; ISS, International staging system; MM, multiple myeloma; Ig, immunoglobulin; del, deletion of chromosome; 1q Gains, chromosome 1q21 gains; t, translocation; SMART, Mayo Stratification of Myeloma and Risk-Adapted Therapy.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Hematopoietic recovery and toxicity</title>
<p>A total of 76 cycles of MST were performed on 20 patients. The hematopoietic recovery and adverse events (AEs) are shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Grade IV lymphocytopenia was relatively common (59.2%), while Grade III-IV anemia was not pronounced (8%). The overall incidence of Grade IV neutropenia and Grade IV thrombocytopenia was 27.6% and 38.1%, respectively. Six patients did not experience Grade IV neutropenia or thrombocytopenia during treatment of MST. In the remaining 14 patients, the median duration of Grade IV neutropenia and thrombocytopenia was 3.5 days and 9 days, respectively. Total time courses of hematopoietic recovery, including neutrophils, lymphocytes, monocytes, eosinophils, basophils, hemoglobin, and platelet, are presented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The degree of bone marrow suppression was relatively mild (<xref ref-type="bibr" rid="B24">24</xref>). No immature neutrophils or other peripheral blood cells were observed in 76 cycles of MST.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Hematopenia and adverse events.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Event</th>
<th valign="top" align="center">Grade I</th>
<th valign="top" align="center">Grade II</th>
<th valign="top" align="center">Grade III</th>
<th valign="top" align="center">Grade IV</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Neutrophil count decreased</td>
<td valign="top" align="center">14 (18.4)</td>
<td valign="top" align="center">10 (13.2)</td>
<td valign="top" align="center">21 (27.6)</td>
<td valign="top" align="center">21 (27.6)</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte count decreased</td>
<td valign="top" align="center">2 (2.6)</td>
<td valign="top" align="center">8 (10.5)</td>
<td valign="top" align="center">21 (27.6)</td>
<td valign="top" align="center">45 (59.2)</td>
</tr>
<tr>
<td valign="top" align="left">Anemia</td>
<td valign="top" align="center">29 (38.2)</td>
<td valign="top" align="center">23 (30.3)</td>
<td valign="top" align="center">6 (8%)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Platelet count decreased</td>
<td valign="top" align="center">13 (17.1)</td>
<td valign="top" align="center">12 (15.8)</td>
<td valign="top" align="center">18 (23.7)</td>
<td valign="top" align="center">29 (38.1)</td>
</tr>
<tr>
<td valign="top" align="left">Fever</td>
<td valign="top" align="center">23 (30.2)</td>
<td valign="top" align="center">8 (10.5)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Rash</td>
<td valign="top" align="center">2 (2.6)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Gastrointestinal disorder</td>
<td valign="top" align="center">3 (3.9)</td>
<td valign="top" align="center">1 (1.3)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Liver function injury</td>
<td valign="top" align="center">2 (2.6)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Kidney dysfunction</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Infection</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4 (5.3)</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">CRS</td>
<td valign="top" align="center">31 (40.8)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">GVHD</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Median time of ANC&lt;0.5&#xd7;10<sup>9</sup>/L, (range)</td>
<td valign="top" colspan="4" align="center">3.5d (1-14)</td>
</tr>
<tr>
<td valign="top" align="left">Median time of PLT&lt;25&#xd7;10<sup>9</sup>/L, (range)</td>
<td valign="top" colspan="4" align="center">9d (1-21)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ANC, absolute neutrophil count; CRS, cytokine release syndrome; GVHD, graft-versus-host disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Time courses of hematopoietic recovery in total 76 cycles of MST. <bold>(A)</bold> Neutrophil, lymphocyte, and monocyte recovery. <bold>(B)</bold> Eosinophil and basophil recovery. <bold>(C)</bold> Hemoglobin recovery. <bold>(D)</bold> Platelet recovery. MM patients received donor cell infusion at day 0, and the median number was used to represent the blood cell counts.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1509588-g001.tif"/>
</fig>
<p>Fever and donor cell infusion-related cytokine release syndrome (CRS) were the most common AEs. Grade I and Grade II fevers were observed in 23 (30.2%) and 8 (10.5%) cases, respectively. All fevers could not be ruled out as being related to CRS. Among them, 20 fever events occurred during the period of Grade IV neutropenia, and 4 of these had definitive positive blood culture results, indicating that fever was also associated with severe infection (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Here, two typical cases were shown to distinguish the causes of fever. Patient 1 and Patient 2 both experienced febrile neutropenia three to five days after donor cell infusion, and the increase of C-reactive protein (CRP), lactate dehydrogenase (LDH), alanine aminotransferase (ALT), and cytokines such as interleukin-2r (IL-2r), IL-6, IL-8, were observed (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B, C</bold>
</xref>). However, these indicators could elevate both in CRS and infection. Patient 2 had a positive blood culture result that indicated an infection with <italic>Staphylococcus hominis</italic>, accompanied by significantly enhanced CRP. Despite the use of carbapenem antibiotics and glucocorticoid, fever was hardly controlled until the neutrophil recovered. Compared to Patient 2, fever in Patient 1 was effectively controlled after the administration of third-generation cephalosporins and glucocorticoid, and there was insufficient evidence of infection based on clinical manifestations, pathogenic microorganism testing, as well as imaging examinations. Therefore, fever of Patient 1 was more likely associated with CRS, while Patient 2&#x2019;s fever had a close relationship with both CRS and infection.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The discrimination of fever causes. <bold>(A)</bold> Overview of fever condition; <bold>(B, C)</bold> The relationship between fever and neutrophil counts, inflammatory cytokine levels, as well as other biochemical test results in two patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1509588-g002.tif"/>
</fig>
<p>Despite the occurrence of CRS after donor cell infusion, accompanied by mild clinical manifestations such as skin rash (2.6%), liver function injury (2.6%), and gastrointestinal disorder (3.9%), the absence of a high proportion of donor chimerism after MST suggested that these immune responses induced by donor cell infusion were probably not sufficient to cause GVHD.</p>
<p>In the long-term follow-up observations, hypogammaglobulinemia had the highest incidence (45%) among the total infection events and immune-related adverse events, followed by lower respiratory infection (35%), intestinal infection (30%), upper respiratory infection (30%), mucosal infection (25%), and shingles (20%) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Total infection and immune AE in long-term follow-up.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Infection and immune AE</th>
<th valign="middle" align="center">MST (n=20)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Hypogammaglobulinemia, n (%)</td>
<td valign="middle" align="center">9 (45)</td>
</tr>
<tr>
<td valign="middle" align="left">Lower respiratory infection, n (%)</td>
<td valign="middle" align="center">7 (35)</td>
</tr>
<tr>
<td valign="middle" align="left">Intestinal infection, n (%)</td>
<td valign="middle" align="center">6 (30)</td>
</tr>
<tr>
<td valign="middle" align="left">Upper respiratory infection, n (%)</td>
<td valign="middle" align="center">6 (30)</td>
</tr>
<tr>
<td valign="middle" align="left">Mucosal infection, n (%)</td>
<td valign="middle" align="center">5 (25)</td>
</tr>
<tr>
<td valign="middle" align="left">Shingles, n (%)</td>
<td valign="middle" align="center">4 (20)</td>
</tr>
<tr>
<td valign="middle" align="left">EB viremia, n (%)</td>
<td valign="middle" align="center">2 (10)</td>
</tr>
<tr>
<td valign="middle" align="left">Wheezing, n (%)</td>
<td valign="middle" align="center">1 (5)</td>
</tr>
<tr>
<td valign="middle" align="left">Urinary tract infection, n (%)</td>
<td valign="middle" align="center">1 (5)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AE, adverse events; EB, Epstein-Barr.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>ORR, OS, and PFS</title>
<p>Among Fourteen patients in VGPR/CR status, twelve maintained VGPR/CR after MST. One of two patients in PR status achieved VGPR/CR after MST. All three patients in PD status achieved PR/VGPR/CR. One previously untreated patient achieved CR after one cycle of MST, resulting in an ORR of 17/20 (85%) for all 20 patients.</p>
<p>The overview of 20 patients including the time of first cycle of MST, efficacy, and survival were shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. The median OS was 91 months (15-161), with a 1-year and 3-year OS of 100% and 94.1%, respectively (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), and a 6-year OS of 64.7%. Subgroup analysis based on age, DS stage, ISS stage, SMART stage, pre-MST disease status, and number of sequential MST showed that age, ISS stage, and SMART stage had no significant correlation with 6-year OS (p=0.224, 0.745, 0.151) (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, C, D</bold>
</xref>), while DS stage showed a significant correlation with prognosis (P=0.045) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Patients in VGPR and CR before MST had a better prognosis than those in PR and PD states (p=0.042) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>). More cycles of MST (n&gt;2) were associated with longer OS compared to two or fewer (n &#x2264; 2) (P=0.039) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Disease response in the 20 MST-treated patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1509588-g003.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Outcomes of Patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameter</th>
<th valign="middle" align="center">MST(n=20)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">NRM,n(%)</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="left">Median OS(range)</td>
<td valign="middle" align="center">91(15-161)</td>
</tr>
<tr>
<td valign="middle" align="left">Median PFS(range)</td>
<td valign="middle" align="center">39(2-147)</td>
</tr>
<tr>
<td valign="middle" align="left">3-year OS, No. of Events(%)</td>
<td valign="middle" align="center">16(94.1)</td>
</tr>
<tr>
<td valign="middle" align="left">3-year PFS, No. of Events(%)</td>
<td valign="middle" align="center">11(64.7)</td>
</tr>
<tr>
<td valign="middle" align="left">6-year OS, No. of Events(%)</td>
<td valign="middle" align="center">11(64.7)</td>
</tr>
<tr>
<td valign="middle" align="left">6-year PFS, No. of Events(%)</td>
<td valign="middle" align="center">6(35.3)</td>
</tr>
<tr>
<th valign="middle" align="left">Age (year)</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;55</td>
<td valign="middle" align="center">7(77.8)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;55</td>
<td valign="middle" align="center">4(50)</td>
</tr>
<tr>
<td valign="middle" align="left">DS stage</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">1(50)</td>
</tr>
<tr>
<td valign="middle" align="left">II</td>
<td valign="middle" align="center">9(90)</td>
</tr>
<tr>
<td valign="middle" align="left">III</td>
<td valign="middle" align="center">1(20)</td>
</tr>
<tr>
<th valign="middle" align="left">ISS stage</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">5(71.4)</td>
</tr>
<tr>
<td valign="middle" align="left">II</td>
<td valign="middle" align="center">6(60)</td>
</tr>
<tr>
<th valign="middle" align="left">SMART</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">standard risk</td>
<td valign="middle" align="center">7(77.8)</td>
</tr>
<tr>
<td valign="middle" align="left">high risk</td>
<td valign="middle" align="center">4(50)</td>
</tr>
<tr>
<td valign="middle" align="left">Status before MST</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">PD and PR</td>
<td valign="middle" align="center">1(20)</td>
</tr>
<tr>
<td valign="middle" align="left">VGPR and CR</td>
<td valign="middle" align="center">10(83.3)</td>
</tr>
<tr>
<th valign="middle" align="left">MST cycle</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">&gt;2</td>
<td valign="middle" align="center">10(83.3)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2264;2</td>
<td valign="middle" align="center">1(20)</td>
</tr>
<tr>
<th valign="middle" align="left">Age (year)</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">&lt;55</td>
<td valign="middle" align="center">4(44.4)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;55</td>
<td valign="middle" align="center">2(25)</td>
</tr>
<tr>
<th valign="middle" align="left">DS stage</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">1(50)</td>
</tr>
<tr>
<td valign="middle" align="left">II</td>
<td valign="middle" align="center">5(50)</td>
</tr>
<tr>
<td valign="middle" align="left">III</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<th valign="middle" align="left">ISS stage</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">4(57.1)</td>
</tr>
<tr>
<td valign="middle" align="left">II</td>
<td valign="middle" align="center">2(20)</td>
</tr>
<tr>
<th valign="middle" align="left">SMART</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">standard risk</td>
<td valign="middle" align="center">4(44.4)</td>
</tr>
<tr>
<td valign="middle" align="left">high risk</td>
<td valign="middle" align="center">2(25)</td>
</tr>
<tr>
<th valign="middle" align="left">Status before MST</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">PD and PR</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="left">VGPR and CR</td>
<td valign="middle" align="center">6(50)</td>
</tr>
<tr>
<th valign="middle" align="left">MST cycle</th>
<th valign="middle" align="center">&#xa0;</th>
</tr>
<tr>
<td valign="middle" align="left">&gt;2</td>
<td valign="middle" align="center">5(41.7)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2264;2</td>
<td valign="middle" align="center">1(20)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NRM, non-relapse mortality; OS, overall survival; PFS, progression-free survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Overall survival (OS) distribution (n = 20). <bold>(A)</bold> OS stratified by age. <bold>(B)</bold> OS stratified by DS stage. <bold>(C)</bold> OS stratified by ISS stage. <bold>(D)</bold> OS stratified by SMART. <bold>(E)</bold> OS stratified by disease status before MST. <bold>(F)</bold> OS stratified by number of MST cycles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1509588-g004.tif"/>
</fig>
<p>The median PFS for patients receiving MST was 39 months (2-150), with an overall 6-year PFS of 35.3%. Age, DS staging, ISS staging, SMART staging, and the number of MST cycles were not significantly correlated with PFS (p=0.377, 0.121, 0.372, 0.147, 0.324), whereas disease status before MST was significantly correlated with PFS (p=0.017) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Progression-free survival (PFS) distribution (n = 20). <bold>(A)</bold> PFS stratified by age. <bold>(B)</bold> PFS stratified by DS stage. <bold>(C)</bold> PFS stratified by ISS stage. <bold>(D)</bold> PFS stratified by SMART. <bold>(E)</bold> PFS stratified by disease status before MST. <bold>(F)</bold> PFS stratified by number of MST cycles.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1509588-g005.tif"/>
</fig>
<p>Among the sixteen IgG myeloma patients, the median PFS was 46 months (2-150) and the median OS was 89 months (15-161). For the two IgD patients, PFS was 20 months and 110 months, and OS was 43 months and 118 months, respectively. One IgA patient in disease relapse status achieved CR with an OS of 161 months after MST. Another IgA patient had a total disease course of 26 months, a PFS of 24 months, and is currently still in CR.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>NRM</title>
<p>No NRM occurred.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Univariate and multivariate analyses</title>
<p>We performed univariate and multivariate regression analyses to identify potential prognostic factors on OS and PFS, including patient age, gender, DS stage, ISS stage, SMART stage, disease status before MST, number of MST cycles, and infused cell dose in MST (MNC, CD34, CD3). Multivariate regression analysis revealed that more MST cycles (&#x2265;2) were significantly associated with longer OS (p=0.043) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Univariate and multivariate analyses of factors prognostic for OS and PFS (n=20).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="left">Variables</th>
<th valign="middle" align="center">6year OS</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">6year PFS</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="left">
</th>
</tr>
<tr>
<th valign="middle" align="center">Univariate analysis</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Multivariate analysis</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Univariate analysis</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Multivariate analysis</th>
<th valign="middle" align="left">
</th>
</tr>
<tr>
<th valign="middle" align="center">%</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">HR (95%CI)</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">%</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">HR (95%CI)</th>
<th valign="middle" align="left">P</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="9" align="left">Age</th>
</tr>
<tr>
<td valign="middle" align="left">&lt;55</td>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center">0.342</td>
<td valign="middle" align="center">4.411 (0.48-40.531)</td>
<td valign="middle" align="center">0.19</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">0.661</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;55</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">Male</td>
<td valign="middle" align="center">84.6</td>
<td valign="middle" align="center">0.058</td>
<td valign="middle" align="center">2.638 (0.361-19.263)</td>
<td valign="middle" align="center">0.339</td>
<td valign="middle" align="center">46.2</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="left">Female</td>
<td valign="middle" align="center">42.9</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">42.9</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">DS</th>
</tr>
<tr>
<td valign="top" align="left">I-II</td>
<td valign="middle" align="center">84.6</td>
<td valign="middle" align="center">0.058</td>
<td valign="middle" align="center">7.703 (0.876-67.736)</td>
<td valign="middle" align="center">0.066</td>
<td valign="middle" align="center">53.8</td>
<td valign="middle" align="center">0.291</td>
<td valign="middle" align="center">1.471 (0.364-5.947)</td>
<td valign="middle" align="center">0.588</td>
</tr>
<tr>
<td valign="middle" align="left">III</td>
<td valign="middle" align="center">42.9</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">28.6</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">ISS</th>
</tr>
<tr>
<td valign="middle" align="left">I</td>
<td valign="middle" align="center">71.4</td>
<td valign="middle" align="center">0.921</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">57.1</td>
<td valign="middle" align="center">0.435</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="left">II-III</td>
<td valign="middle" align="center">69.2</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">38.5</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">SMART</th>
</tr>
<tr>
<td valign="middle" align="left">standard risk</td>
<td valign="middle" align="center">81.8</td>
<td valign="middle" align="center">0.214</td>
<td valign="middle" align="center">7.391 (0.539-101.305)</td>
<td valign="middle" align="center">0.134</td>
<td valign="middle" align="center">54.5</td>
<td valign="middle" align="center">0.355</td>
<td valign="middle" align="center">1.807 (0.469-6.955)</td>
<td valign="middle" align="center">0.39</td>
</tr>
<tr>
<td valign="middle" align="left">high risk</td>
<td valign="middle" align="center">55.6</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">33.3</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Status before MST</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2264;PR</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">0.006</td>
<td valign="middle" align="center">3.824 (0.19-76.902)</td>
<td valign="middle" align="center">0.381</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.023</td>
<td valign="middle" align="center">0.293 (0.044-1.971)</td>
<td valign="middle" align="center">0.207</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;VGPR</td>
<td valign="middle" align="center">86.7</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">MST cycle</th>
</tr>
<tr>
<td valign="middle" align="left">&gt;2</td>
<td valign="middle" align="center">86.7</td>
<td valign="middle" align="center">0.006</td>
<td valign="middle" align="center">6.499 (1.058-39.915)</td>
<td valign="middle" align="center">0.043</td>
<td valign="middle" align="center">53.3</td>
<td valign="middle" align="center">0.206</td>
<td valign="middle" align="center">0.661 (0.125-3.501)</td>
<td valign="middle" align="center">0.626</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2264;2</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">MNC infused in the first cycle</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;3&#xd7;10<sup>8</sup>/Kg</td>
<td valign="middle" align="center">66.7</td>
<td valign="middle" align="center">0.836</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">33.3</td>
<td valign="middle" align="center">0.503</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;3&#xd7;10<sup>8</sup>/Kg</td>
<td valign="middle" align="center">71.4</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">CD34 infused in the first cycle</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;2&#xd7;10<sup>6</sup>/Kg</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">0.661</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;2&#xd7;10<sup>6</sup>/Kg</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">CD3 infused in the first cycle</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2265;0.8&#xd7;10<sup>8</sup>/Kg</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">0.661</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
<tr>
<td valign="middle" align="left">&lt;0.8&#xd7;10<sup>8</sup>/Kg</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">
</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR, hazard ratio; MNC, mononuclear cell.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Microchimerism</title>
<p>Among these 20 patients, 3 patients had totally 19 available peripheral blood samples for donor microchimerism tests, and all 3 patients had detectable donor microchimerism (&lt;1.2%) after MST. The chimerism levels fluctuated between 0.012-0.091% on day 1, 0.002-0.735% on day 7, 0.012-0.091% on day 14, 0.02-0.65% at 3 months, and 0.006-1.034% at 6 months, respectively after cell infusion (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). The disease course of these 3 patients was 21, 26, and 31 months, respectively, and they are currently in sustained remission at last follow-up.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Overview of donor microchimerism, and the evaluation of immune function in MST-treated patients (n=20). <bold>(A)</bold> Donor peripheral blood microchimerism after each infusion determined by an Indel-primer-based real-time PCR method. <bold>(B)</bold> Alternation of immune function before and after MST. <bold>(C)</bold> Ratio of CD3<sup>+</sup>CD4<sup>+</sup> and CD3<sup>+</sup>CD8<sup>+</sup> T cells. <bold>(D)</bold> Expression of IFN-&#x3b3; and IL-4 in CD3<sup>+</sup> T cells. The symbol &#x201c;*&#x201d; means the P&lt;0.05, &#x201c;**&#x201d; means P&lt;0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1509588-g006.tif"/>
</fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Immune reconstitution</title>
<p>We tested lymphocyte subsets and tumor cell-specific T cell killing function on 5 patients before and after MST. The results showed that the proportions of CD4+ T lymphocytes, total CD3+ T lymphocytes, and cytotoxic CD8+ T cells in peripheral blood after MST were 41.3 &#xb1; 10.0%, 77.0 &#xb1; 5.8%, and 23.2 &#xb1; 2.1%, respectively, which were significantly higher than those before MST of 25.4 &#xb1; 7.2%, 66.0 &#xb1; 10.9%, and 16.8 &#xb1; 6.2% (p=0.005, 0.025, 0.015) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). The proportions of NKT and NK cells showed tendency to increase after MST, but with no statistical difference (p=0.993, 0.241). The proportions of &#x3b3;/&#x3b4; T and B cells decreased after MST (p=0.012, 0.005). The CD4/CD8 ratio after MST was 1.30 &#xb1; 0.54, which was significantly higher than that before MST of 0.78 &#xb1; 0.32 (p=0.048) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). Th0 cells was 0.19 &#xb1; 0.15% after MST, which was higher than that before MST of 0.11 &#xb1; 0.04% (p=0.017) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Although many effective treatment methods are available, multiple myeloma remains an incurable disease. No matter how&#xa0;much the progression-free survival and overall survival are&#xa0;extended, it seems difficult to avoid disease relapse. In order&#xa0;to achieve deep disease remission and prolong survival, classical regimens combining with immunotherapies such as MST&#xa0;are feasible measures. In addition, the relapse of multiple myeloma is closely related to immune imbalance, therefore, modulating immune function through immunotherapy is also particularly important.</p>
<p>The anti-tumor effect of DLI in the treatment of multiple myeloma has been validated (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). In this study, the effectiveness of MST for the treatment of multiple myeloma was demonstrated for the first time. The ORR of patients receiving MST reached 85%, and the median PFS and OS were 39 months and 91 months, respectively. Earlier DS staging, disease in VGPR or CR status before MST, and an increase in total cycle number of MST suggest better prognosis. The 3-year OS of high-risk patients with adverse chromosomal changes after autologous transplantation was 48%-77% (<xref ref-type="bibr" rid="B27">27</xref>). In our study, the 3-year and 6-year OS rates of high-risk patients in SMART staging were 87.5% and 37.5%, respectively, and the median OS was 61 months. Meanwhile, the stratification of SMART risk level was not significantly correlated with the prognosis of MST, suggesting that MST may improve the prognosis of patients with high-risk cytogenetic abnormalities through immunotherapy.</p>
<p>In autologous hematopoietic stem cell transplantation, intensive chemotherapy such as high-dose melphalan is recommended for achieving deep disease remission, which may lead to prolonged bone marrow suppression and life-threatening complications such as severe infections. The TRM of autologous hematopoietic stem cell transplantation is 0-10% (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). In contrast, MST uses a lower dose of melphalan, with relatively mild suppression of hematopoiesis and a lower risk of complications. In this clinical study with small sample size, no NRM occurred. Additionally, the incidence and severity of cytokine release syndrome (CRS) associated with lymphocyte infusion is also important to assess safety. In the clinic trials of B cell maturation antigen (BCMA) targeting CAR-T cells, the initial symptom of CRS is fever, followed by low hypotension, hypoxia, and end organ toxicity (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). In this study, the transient increase of inflammatory cytokines and CRP coupled with fever was also observed. Although the total occurrence rate of CRS was comparable with that in CAR-T cell therapy, it is relatively mild (only in Grade I) and controllable. No acute or chronic GVHD was detected, which may result from the absence of high-proportion donor engraftment. Therefore, MST is safer compared to autologous hematopoietic stem cell transplantation and CAR-T cell therapy.</p>
<p>Meanwhile, the incidence of Grade IV neutropenia and thrombocytopenia in MST was 27.6% and 38.1%, respectively, which was lower than the reported results of melphalan-containing chemotherapy (<xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). Among fourteen patients, the median duration of Grade IV neutropenia and thrombocytopenia was 3.5 days and 9 days, respectively. The other six patients did not experience severe neutropenia or thrombocytopenia during treatment of MST. Milder bone marrow suppression and faster hematopoietic recovery may be related to the infusion of donor G-CSF mobilized MNCs (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Interestingly, donor microchimerism was detected in the peripheral blood even after six months following donor MNC infusion, although the level of microchimerism varied greatly among different patients. Previous studies also demonstrated that the longest duration of donor microchimerism was 1020 days (<xref ref-type="bibr" rid="B13">13</xref>). Although microchimerism was detectable in all three patients with available samples, the lack of peripheral samples for testing in the remaining 17 patients leaves insufficient evidence to confirm the&#xa0;presence or absence of donor microchimerism in those cases. Given this small sample size, a direct comparative analysis of OS, PFS, AEs, and immune reconstitution between the three microchimerism-positive patients and the rest was not performed. The association between the proportion of microchimerism and the prognosis still needs further investigation.</p>
<p>During the occurrence and progression of MM, patients experience dysfunction and exhaustion of T cells and suppression of the bone marrow microenvironment (<xref ref-type="bibr" rid="B37">37</xref>). In this clinical study, recipients were in an abnormal immune functional state with a reversed CD4/CD8 ratio before treatment, and the proportion of Th0 cells, that belong to a kind of naive T cells, was low. This suggests that the occurrence of multiple myeloma may be related to mechanisms such as immune dysfunction and immune escape. After MST, the proportion of CD4+ T lymphocytes and total CD3+ T lymphocytes in peripheral blood increased significantly, the CD4/CD8 ratio also increased, as well as the proportion of Th0 cells, indicating that the immune balance of patients was partially recovered, T cell cytotoxic capability was improved, immune reconstitution was accelerated, and abnormal immune homeostasis was partially corrected. This partly explains that the prognosis of patients receiving MST is not inferior to those receiving ASCT, and even better in overall survival (<xref ref-type="bibr" rid="B27">27</xref>). We also observed a significant decrease in the proportion of &#x3b3;/&#x3b4; T cells after MST. Previous reports have shown that &#x3b3;/&#x3b4; T cells can exert anti-tumor effects (<xref ref-type="bibr" rid="B38">38</xref>) or promote tumor cell proliferation in the process of tumor development (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Therefore, the role of &#x3b3;/&#x3b4; T cells in MST still needs to be further studied.</p>
<p>In summary, microtransplant extended PFS and OS and improved immune function, which provided an alternative treatment option for patients with multiple myeloma, especially those with high-risk cytogenetics. However, prospective studies with larger sample sizes are still needed.</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/supplementary material. 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 the Human Ethics Committee of the 5th medical center of Chinese PLA general hospital. 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.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Writing &#x2013; original draft. BC: Formal analysis, Methodology, Validation, Writing &#x2013; original draft. ZL: Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. AX: Data curation, Methodology, Visualization, Writing &#x2013; original draft. JQ: Conceptualization, Supervision, Validation, Writing &#x2013; original draft. YW: Methodology, Supervision, Writing &#x2013; original draft. XC: Data curation, Writing &#x2013; original draft. FP: Data curation, Writing &#x2013; original draft. YZ: Data curation, Writing &#x2013; original draft. JC: Data curation, Writing &#x2013; original draft. WG: Data curation, Funding acquisition, Writing &#x2013; original draft. CY: Conceptualization, Supervision, Validation, Writing &#x2013; original draft. XL: Formal analysis, Writing &#x2013; original draft. KH: Conceptualization, Supervision, Validation, Writing &#x2013; original draft. AZ: Data curation, Validation, Writing &#x2013; original draft. QS: Conceptualization, Supervision, Validation, Writing &#x2013; review &amp; editing. YH: Conceptualization, Supervision, Validation, Writing &#x2013; review &amp; editing. HA: Conceptualization, Project administration, Supervision, Validation, Writing &#x2013; review &amp; editing. MG: Conceptualization, Project administration, Supervision, Validation, 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 and/or publication of this article. This work was supported by the National Natural Science Foundation of China (82100164), and the Natural Science Foundation of Beijing Municipality (7244409).</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>
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