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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2024.1481950</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cellular therapy in older adults with relapsed/refractory diffuse large B-cell lymphoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Esteghamat</surname>
<given-names>Naseem</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/2817875"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tsumura</surname>
<given-names>Aaron</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marquez-Arreguin</surname>
<given-names>Gabriel</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2819896"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tuscano</surname>
<given-names>Joseph</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/1643908"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Malignant Hematology, Cellular Therapy and Transplantation, University of California Davis Comprehensive Cancer Center</institution>, <addr-line>Sacramento, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Hematology &amp; Oncology, University of California Davis Comprehensive Cancer Center</institution>, <addr-line>Sacramento, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Schoool of Medicine, University of California</institution>, <addr-line>Davis, Sacramento, CA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Maria Stefania Infante, Hospital Universitario Infanta Leonor, Spain</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Valerio Guarente, Onco-Hematology Department Civil Hospital of Bassano del Grappa, Italy</p>
<p>Ryan Jacobs, Levine Cancer Institute, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Naseem Esteghamat, <email xlink:href="mailto:nsesteghamat@ucdavis.edu">nsesteghamat@ucdavis.edu</email>; Joseph Tuscano, <email xlink:href="mailto:jtuscano@ucdavis.edu">jtuscano@ucdavis.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1481950</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Esteghamat, Tsumura, Marquez-Arreguin and Tuscano</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Esteghamat, Tsumura, Marquez-Arreguin and Tuscano</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>
<p>Relapsed/Refractory (R/R) diffuse large B-cell lymphoma (DLBCL) is an aggressive disease with poor prognosis and limited therapeutic options. High-dose chemotherapy with autologous hematopoietic stem cell transplantation (autoHCT) was historically the curative-intent treatment for patients who demonstrated chemosensitivity to salvage therapy. However, a significant portion of patients do not make it autoHCT due to disease progression or overall fitness and eligibility. This is of particular concern in the older adult population. In recent years, significant advances in cellular therapies including chimeric antigen receptor (CAR) T-cells and bispecific antibodies, in addition to improvement in autoHCT tolerability, have allowed for additional treatment options for patients with R/R DLBCL. These novel therapies offer the potential for durable remissions and cure, and should be considered in older patients. We present a review focused on the safety and efficacy of cellular therapies in the older adult population with R/R DLBCL.</p>
</abstract>
<kwd-group>
<kwd>CAR T</kwd>
<kwd>CAR T cell</kwd>
<kwd>elderly</kwd>
<kwd>DLBCL - diffuse large B cell lymphoma</kwd>
<kwd>autologous transplant (ASCT)</kwd>
<kwd>bispecific antibody (bsAb)</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="11"/>
<word-count count="6849"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Hematologic Malignancies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>DLBCL is the most common subtype of non-Hodgkin lymphoma (NHL), representing about 30% of cases. It is curable with multiagent chemo-immunotherapy in approximately 60% of patients depending on disease characteristics including molecular classification, genetic rearrangements, stage, age-adjusted international prognositic index (IPI), and age at diagnosis (<xref ref-type="bibr" rid="B1">1</xref>). Patients who have disease refractory to first line therapy or relapse after initial treatment have poor prognosis, and those with primary refractory disease have particularly poor outcomes, with estimated overall survival of approximately 6 months (<xref ref-type="bibr" rid="B2">2</xref>). Historically, patients with R/R disease deemed eligible are treated with salvage chemotherapy, and if they demonstrate chemosensitive disease, go on to receive high-dose chemotherapy with autoHCT. However, elderly patients are often not eligible candidates for autoHCT, and approximately 40-50% of patients are estimated to eventually relapse after autoHCT, leaving limited treatment options post-transplant, particularly in older, frail patients (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Recent advances in cellular therapies have changed the treatment landscape in R/R DLBCL. These novel therapies include CAR T-cells and bispecific antibodies. High-dose chemotherapy and autoHCT has also historically been limited to younger patients, although risk stratification and identification of factors associated with morbidity and mortality have also extended this as a treatment option to an older adult population. These cellular therapies offer promising response rates and potentially durable remissions with different toxicities compared to traditional chemotherapy; thus, they should be considered for older adults who are deemed appropriate candidates for these treatments.</p>
<p>The median age at diagnosis of DLBCL is 67 years (<xref ref-type="bibr" rid="B3">3</xref>); however, older patients are often underrepresented in cancer clinical trials despite accounting for a larger population of the prevalence of these diseases (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Thus, the ability to apply these data to the older adult population represents a clinical challenge. With the many recent practice-changing advances in cellular therapies for R/R DLBCL, the older adult patient population should still be considered for these potentially curative therapies, with attention paid to toxicity, survival, and non-relapse mortality. We present a review of the literature for cellular therapies in the older adult population with R/R DLBCL.</p>
</sec>
<sec id="s2">
<title>Chimeric antigen receptor T-cells</title>
<p>CAR T-cell therapy has become a well-established treatment approach for R/R DLBCL within the last decade, with FDA approvals for axicabtagene ciloleucel (axi-cel), tisagenlecleucel (tisa-cel), and lisocabtagene maraleucel (liso-cel). These products were approved based on their pivotal trials ZUMA-1, JULIET, and TRANSCEND NHL-001, respectively. While all three CAR T-cell products are CD19-directed, their contructs differ. Axi-cel comprises an anti-CD19 single chain variable fragment (scFv) linked to a CD28 and CD3-zeta co-stimulatory domain, while both tisa-cel and liso-cel are comprised of an anti-CD19 scFv linked to a 4-1BB (CD137) and a CD3-zeta co-stimulatory domain. Axi-cel and liso-cel have FDA approval in patients with DLBCL who relapse within 12 months of first-line therapy, while tisa-cel is FDA approved for DLBCL patients who have relapsed after two or more lines of systemic therapy.</p>
<p>As we have gained more experience and optimization of this specialized cellular therapy, rates of the highly morbid side effects of Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS) have been reduced. Early recognition and effective management of these syndromes have made CAR T-cells both effective and safe, even in patients with advanced age, poor fitness, or comorbid conditions. Importantly, in all three aforementioned landmark studies, though not statistically significant, subgroup analyses show numerically better objective response rates (ORR) and complete responses (CR) in patients &gt;65 compared to their younger counterparts. ZUMA-1 (axi-cel) reported an ORR of 92% vs. 79%, CR 75% vs 53%, and mPFS 13.2 mo vs 5.6 mo (<xref ref-type="bibr" rid="B6">6</xref>). JULIET (tisa-cel) reported an ORR of 59% vs 49% (<xref ref-type="bibr" rid="B7">7</xref>). TRANSCEND NHL-001 (liso-cel) reported an ORR of 75.9% vs 70.3% as well as CR of 60.2% vs 48.0% (<xref ref-type="bibr" rid="B8">8</xref>). These data suggest that elderly patients (&#x2265;65) gain to have more benefit from CAR T than their younger counterparts. Rates of grade &gt;3 CRS were 13%, 22%, and 1%, while rates of grade &gt;3 ICANS were 31%, 12%, and 13%, respectively (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). Management for CRS and ICANS among the three agents is largely similar with one exception to consider IV Dexamethasone for early onset grade 1 CRS (&lt;72 hours) with liso-cel based on NCCN guidelines (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Following these observations, the PILOT study was a phase 2 trial assessing Liso-cel as second-line therapy for patients with R/R DLBCL who were not considered for Hematopoietic Stem Cell Transplantation (HSCT). Though they were open to enroll patients 18 years and older, 79% of patients were 70 years or older (33% 70-74, 46% &#x2265;75). With a median age of 74 years, they reported an ORR of 80% and CR of 54%. Subgroup analysis, although not statistically significant, showed greater ORR and OS when the groups were compared at cutoffs of 65 years, 70 years, and 75 years (i.e &lt;65 vs &gt;65, &lt;70 vs &gt;70, and &lt;75 vs &gt;75). There were no treatment related deaths and rates of CRS and ICANs were similar to prior studies (<xref ref-type="bibr" rid="B10">10</xref>). Additionally, a planned subgroup analysis of the ZUMA-7 trial compared Axi-cel to standard-of-care (SOC) chemoimmunotherapy as second-line treatment for patients aged &gt;65 with DLBCL who relapsed within 12 months after first-line therapy. The analysis reported an ORR of 88% with CAR T vs 52% SOC chemoimmunotherapy. The CR rate was 75% vs 33%. Though grade &gt;3 AEs were higher in the CAR T arm (94% vs 82%), quality of life scores at day 100 and day 150 were also higher, thus leading to the FDA approval of axi-cel as second-line for patients with DLBCL who relapse within 12 months after first line therapy (<xref ref-type="bibr" rid="B11">11</xref>). Lastly, Johnson et&#xa0;al., performed a retrospective analysis evaluating clinical outcomes and treatment toxicity in older patients who received CAR T at Massachusetts General Hospital. In comparing patients aged &gt;75 vs. 65-74, they reported no difference in rates of CRS or ICANS, as well as hospital readmissions or Intensive Care Unit (ICU) admissions within 30 days of their CAR T-cell infusion. Median hospital length of stay was similar and there was no associated OS or event-free survival (EFS) benefit when controlling for CAR T-cell product, performance status, age &#x2265; 75, as well as other variables (<xref ref-type="bibr" rid="B12">12</xref>). Overall, these findings demonstrated safety and efficacy of CAR T-cells over SOC chemoimmunotherapy for this older age population.</p>
<p>Despite the approval of CAR T-cell therapies, Chihara et&#xa0;al. found a significant under usage of CAR T-cells in elderly patients, especially in patients aged &gt;75. After querying the Medicare fee-for-service claims database from October 2015 thru December 31, 2020, they reported the low utilization rates of CAR T-cells in elderly patients by age; 19% in patients 65-69, 22% in patients 70-74, and 13% in patients 75 or older. This was despite their findings of median EFS of 43%, 52%, and 34% for patients 65-69, 70-74, and &gt;75, respectively (<xref ref-type="bibr" rid="B13">13</xref>). They found a median OS of 17.1 months with no significant differences based on age groups. To our knowledge, there has not been a similar assessment of utilization rates of CAR T-cells in DLBCL patients younger than 65.</p>
<p>It is possible that some of these patients were taken to autoHCT, in alignment with Shadman, et&#xa0;al. reporting improved progression free survival (PFS) and overall survival (OS) in chemotherapy-sensitive relapsed DLBCL treated with autoHCT vs CAR T (<xref ref-type="bibr" rid="B14">14</xref>). However, notably in their retrospective study, there were no reported subgroup analyses based on age groups. Akhtar, et&#xa0;al. performed a similar retrospective propensity-matched analysis concluding that CAR T-cell therapy has similar efficacy to autoHCT, specifically in older patients aged &gt;65 years. All patients had chemosensitive R/R DLBCL with at least a partial response (PR) to salvage therapy prior to cellular therapy. They found no difference in 1-year PFS (52% for autoHCT vs 51% for CAR T) and no difference in 1-year OS (71% vs 73%). Similar results were seen when the age cutoff was increased to &gt;70 years and &lt;70 years. Notably, they did find that for patients age &lt;65, CAR T-cells had inferior PFS and OS as compared to autoHCT with hazard ratio (HR) of 1.79 (p= 0.02) and 2.3 (p=0.004), respectively (<xref ref-type="bibr" rid="B15">15</xref>). Recently, Guffroy et&#xa0;al., reported on their retrospective analysis of real-world outcomes of anti-CD19 CAR T-cell therapy in patients aged &gt;75 with R/R large B-cell lymphoma registered in the French DESCAR-T registry. Their findings were presented at the European Hematology Association 2024 (EHA2024). They retrospectively compared patients who were either &lt;75 years old or &gt;75 (n=1399 and n=125, respectively) and found similar rates of ORR and CR, as well as similar PFS and OS. The most significant difference was a higher rate of non-relapse mortality (NRM) in patients &gt;75 compared to those &lt;75 (19.5% vs 8.1%), but lower rates of lymphoma-related mortality. This difference was mainly seen in late NRM (&gt;28 days post-infusion), but did not translate into a lower OS rate. The main cause of NRM in both groups was infection. Patients &gt;75 had higher risk of NRM from infection, CRS, and other causes, but not from ICANS (<xref ref-type="bibr" rid="B16">16</xref>). Thus, these reports support the use of CAR T-cell therapies in older patients with primary refractory or early-relapsed disease and should be considered as a potentially curative treatment in this age group. It is also important to consider the fact that the median age at diagnosis for DLBCL is 67 years based on SEER data; thus, it is practical to understand the most effective and potentially less toxic treatment approaches for older DLBCL patients (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>More recently, Lunning et&#xa0;al. performed a prospective observational study of older patients with R/R DLBCL who received &gt;2 lines of therapy with ECOG performance status of 2 and were then treated with axi-cel (<xref ref-type="bibr" rid="B17">17</xref>); outcomes were compared to a matched chemoimmunotherapy control group from the database of the prior SCHOLAR-1 study, which originally reported poor outcomes for refractory DLBCL to next-line of therapy with ORR and mOS of 26% and 6.3 months, respectively (<xref ref-type="bibr" rid="B2">2</xref>). In Lunning et&#xa0;al.&#x2019;s study group, 39% of patients were &gt;65 years and 20% were &gt;70 years. In their subgroup analysis, they reported longer OS in patients &gt;65 years treated with axi-cel compared to chemoimmunotherapy (HR 0.32). They reported an ORR of 82% vs 25% and a CR of 68% vs 13% in patients &gt;65 years treated with CAR T-cells vs chemoimmunotherapy, respectively. Similarly, Berning et&#xa0;al. reported a retrospective analysis of older patients with R/R DLBCL treated with either axi-cel or tisa-cel (<xref ref-type="bibr" rid="B18">18</xref>). They grouped patients as either &lt;70 or &gt;70 years at time of CAR T infusion. They reported similar ORRs between the two group (77.7% vs 78.3%, respectively) as well as similar mPFS (10.2 mo vs 11.1 mo). Notably, they found the mOS for &lt;70 and &gt;70 to be 21.8 months vs 34.4 months, although this difference was not statistically significant. Rates of grade &gt;3 CRS and ICANs were similar among the groups as well (11.9% vs 7.9%, p=0.45, and 18.4% vs 22.2%, p=0.57, respectively). These data again support prior findings that older patients with DLBCL may derive greater benefit from CAR T-cell therapy compared to standard chemoimmunotherapy in the relapsed and refractory setting.</p>
<p>As we increase our knowledge and optimize management of CAR T-cell therapies, effective treatment option is becoming more accessible to a larger population of patients, particularly in older patients with limited functional status (i.e. ECOG 2) and comorbidities where autoHCT may not be an option. More recent observational and retrospective studies demonstrate safety and efficacy outcomes of CAR T-cell therapies in the older adult population (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Furthermore, the 5-year follow-up of the ZUMA-1 trial reported a 5-year OS of 42.7% in which 24% of the patients were &gt;65, suggesting the curative potential of axi-cel in R/R large B-cell lymphomas (<xref ref-type="bibr" rid="B19">19</xref>). Therefore, it appears that for older patients, particularly those aged 65 to 74 with R/R DLBCL, CAR T-cell therapy should be strongly considered as a potentially curative treatment option. The improved outcomes in older patients is a surprising finding; however this data is primarily from subgroup analyses and retrospective studies, and not designed to directly compare subgroup responses stratified by age. It is possible that these outcomes in part due to selection bias, with younger patients in these cohorts representing particularly resistant disease whereas the older cohort reflects more of a &#x2018;real world&#x2019; post-CAR T-cell outcomes (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Efficacy and safety data for CAR T-cells in older adults.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Study/Author</th>
<th valign="top" align="center">Comparison/Intervention</th>
<th valign="top" align="center">Response</th>
<th valign="top" align="center">Survival</th>
<th valign="top" align="center">Adverse Events</th>
<th valign="top" align="center">Other</th>
<th valign="top" align="center">Ref #</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">ZUMA-1</td>
<td valign="top" align="center">Axi-cel in R/R DLBCL</td>
<td valign="top" align="center">ORR:<break/>&#x2265;65 &#x2013; 92%<break/>&lt;65 &#x2013; 79%<break/>CR:<break/>&#x2265;65 &#x2013; 75%<break/>&lt;65 &#x2013; 53%</td>
<td valign="top" align="center">mPFS<break/>&#x2265;65 &#x2013; 13.2 mo<break/>&lt;65 &#x2013; 5.6 mo</td>
<td valign="top" align="center">Grade &gt;3 CRS: 13%<break/>Grade &gt;3 ICANS: 31%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B6">6</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">JULIET</td>
<td valign="top" align="center">Tisa-cel in R/R DLBCL</td>
<td valign="top" align="center">ORR:<break/>&#x2265;65 &#x2013; 59%<break/>&lt;65 &#x2013; 49%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade &gt;3 CRS: 22%<break/>Grade &gt;3 ICANS: 12%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B7">7</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">TRANSCEND NHL-001</td>
<td valign="top" align="center">Liso-cel in R/R DLBCL</td>
<td valign="top" align="center">ORR:<break/>&#x2265;65 &#x2013; 75.9%<break/>&lt;65 &#x2013; 70.3%<break/>CR:<break/>&#x2265;65 &#x2013; 60.2%<break/>&lt;65 &#x2013; 48.0%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade &gt;3 CRS: 1%<break/>Grade &gt;3 ICANS: 13%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B8">8</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">PILOT</td>
<td valign="top" align="center">Liso-cel as second-line therapy</td>
<td valign="top" align="center">ORR:<break/>&lt;65 v &gt;65<break/>(66.7% v 81.8%)<break/>&lt;70 v &gt;70<break/>(69.2% v 83.3%)<break/>&lt;75 v &gt;75<break/>(75.8% v 85.7%)<break/>CR:<break/>&lt;65 v &gt;65<break/>(50.0% v 54.4%)<break/>&lt;70 v &gt;70<break/>(46.2% v 56.3%)<break/>&lt;75 v &gt;75<break/>(57.6% v 50.0%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade &gt;3 CRS:<break/>&lt;70 v &gt;70<break/>(0.0% v 2.0%)<break/>&lt;75 v &gt;75<break/>(0.0% v 4.0%)<break/>Grade &gt;3 ICANS:<break/>&lt;70 v &gt;70<break/>(0.0% v 6.0%)<break/>&lt;75 v &gt;75<break/>(6.0% v 4.0%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B10">10</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">ZUMA-7</td>
<td valign="top" align="center">Axi-cel vs SOC for second-line for patients &gt;65</td>
<td valign="top" align="center">ORR<break/>CAR T &#x2013; 88%<break/>SOC &#x2013; 52%<break/>CR<break/>CAR T &#x2013; 75%<break/>SOC &#x2013; 33%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade &gt;3 AEs<break/>CAR T &#x2013; 94%<break/>SOC &#x2013; 82%</td>
<td valign="top" align="center">Day 100 and Day 150 QOL scores higher in CAR T arm.</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B11">11</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Akhtar et&#xa0;al.</td>
<td valign="top" align="center">CAR T vs AutoHCT for patients &gt;65<break/>(Retrospective)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1-year PFS:<break/>CAR T &#x2013; 51% AutoHCT &#x2013; 52%<break/>1-year OS:<break/>CAR T &#x2013; 73%<break/>AutoHCT &#x2013; 71%</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Guffroy et&#xa0;al.</td>
<td valign="top" align="center">CAR T in patients &gt;75 (Restropective)</td>
<td valign="top" align="center">ORR:<break/>&#x2265;75 &#x2013; 74.8%<break/>&lt;75 &#x2013; 75.0%<break/>CR:<break/>&#x2265;75 &#x2013; 62.6%<break/>&lt;75 &#x2013; 60.8%</td>
<td valign="top" align="center">mPFS<break/>&#x2265;75 &#x2013; 8.2 mo<break/>&lt;70 &#x2013; 6.1 mo<break/>mOS<break/>&#x2265;75 &#x2013; 18.3 mo<break/>&lt;70 &#x2013; 24.0 mo</td>
<td valign="top" align="center">Grade &gt;3 CRS:<break/>&#x2265;75 &#x2013; 7.3%<break/>&lt;75 &#x2013; 7.4%<break/>Grade &gt;3 ICANS:<break/>&#x2265;75 &#x2013; 9.8%<break/>&lt;75 &#x2013; 12.4%</td>
<td valign="top" align="center">NRM:<break/>&#x2265;75 &#x2013; 19.5%<break/>&lt;75 &#x2013; 8.1%<break/>Early NRM (&lt;28 days)<break/>&#x2265;75 &#x2013; 2.4%<break/>&lt;75 &#x2013; 1.2%<break/>Late NRM<break/>(&#x2265;28 days)<break/>&#x2265;75 &#x2013; 17.1%<break/>&lt;75 &#x2013; 6.9%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Lunning et&#xa0;al.</td>
<td valign="top" align="center">Axi-cel vs historic control of SOC for patients &gt;65 treated with &gt;2 lines of therapy<break/>(Prospective)</td>
<td valign="top" align="center">ORR:<break/>CAR T &#x2013; 82%<break/>SOC &#x2013; 25%<break/>CR:<break/>CAR T &#x2013; 68%<break/>SOC &#x2013; 13%</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B17">17</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Berning et&#xa0;al.</td>
<td valign="top" align="center">Axi-cel or Tisa-cel<break/>(Retrospective)</td>
<td valign="top" align="center">ORR:<break/>&#x2265;70 &#x2013; 78.3%<break/>&lt;70 &#x2013; 77.7%</td>
<td valign="top" align="center">mPFS:<break/>&#x2265;70 &#x2013; 11.1 mo<break/>&lt;70 &#x2013; 10.2 mo<break/>mOS:<break/>&#x2265;70 &#x2013; 34.4 mo<break/>&lt;70 &#x2013; 21.8 mo</td>
<td valign="top" align="center">Grade &gt;3 CRS:<break/>&#x2265;70 &#x2013; 7.9%<break/>&lt;70 &#x2013; 11.9%<break/>Grade &gt;3 ICANS:<break/>&#x2265;70 &#x2013; 22.2%<break/>&lt;70 &#x2013; 18.4%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Axi-cel, Axicabtagene ciloleucel; DLBCL, Diffuse Large B-Cell Lymphoma; R/R, Relapsed/Refractory; ORR, Objective Response Rate; CR, Complete Response; mPFS, median Progression-Free Survival; CRS, Cytokine Release Syndrome; ICANS, Immune Effector Cell-Associated Neurotoxicity Syndrome; Tisa-cel, Tisagenlecleucel; Liso-cel, Lisocaptagene maraleucel; SOC, Standard of Care (chemoimmunotherapy); CAR T, Chimeric Antigen T-Cell Receptor T-cell Therapy; AEs, Adverse Events; QOL, Quality of Life; AutoHCT, Autologous Hematopoietic Stem Cell Transplantation; NRM, Non-Relapse Mortality.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3">
<title>Bispecific antibodies</title>
<p>Bispecific Antibodies targeting both CD20 and CD3 have recently become established treatment options for R/R DLBCL. These include Glofitamab, Epcoritamab, Mosunetuzumab and Odronextamab. Data thus far have shown promising and durable response rates with low rates of CRS and ICANS, making bispecific antibody therapy a safe and effective option for elderly and unfit patients. Currently, both Glofitamab and Epcoritamab have FDA-approval for R/R DLBCL after at least two lines of therapy, including patients who previously received hematopoietic stem cell transplantation or CAR T-cell therapy.</p>
<p>Glofitamab was approved based on the phase II study by Dickinson, et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>) reporting on 155 patients with R/R DLBCL who had received at least two prior lines of therapy and were treated with glofitamab monotherapy. Subgroup analysis reported no difference in CR rate between patients &lt;65 vs &#x2265; 65 (41% vs 38%). Rates of Grade 3 and 4 CRS were 3% and 1%, respectively. Grade &#x2265; 3 ICANS occurred in 3% of patients. Thus, glofitamab has shown similar efficacy in older patients &#x2265; 65 as compared to younger &lt; 65, with low rates of CRS and ICANS. Recently, the STARGLO trial was presented at EHA2024 by Abramson et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>). This was a phase III randomized trial comparing the combination glofitamab with gemcitabine and oxaliplatin (G-GemOx) to rituximab-gemox (R-GemOx) in patients with R/R DLBCL who were not eligible for autoHCT. They enrolled 183 to the G-GemOx arm and 91 patients to the R-GemOx arm with a median age of 68 and &gt;60% of patients being &gt;65 years. They reported improved primary endpoints of mOS and mPFS for G-GemOx compared to R-GemOx (mOS 25.5 months vs. 12.9 months and mPFS 13.8 months vs 3.6 months). G-GemOx also showed improved ORR and CR at 68.3% and 58.5% compared to R-GemOx at 40.7% and 25.3%, respectively. Subgroup analysis showed similar benefits with G-GemOx regardless of age group (&lt;65 vs &gt;65). Rates of grade &gt;3 AEs were higher in the G-GemOx group compared to the R-GemOx group, at 77.8% vs 40.9%. The rate of grade &gt;3 CRS in the G-GemOx group was 2.3%, primarily in the first cycle. Thus, glofitamab is an effective and safe treatment option for patients &gt;65 with R/R disease and may possibly be more effective in combination with chemotherapy.</p>
<p>The EPCORE NHL-1 trial was a Phase I/II dose escalation/expansion trial that lead to the approval of epcoritamab in treating R/R aggressive B-cell lymphomas. They reported on 157 patients, of whom 88.5% had DLBCL and a median age of 64. Subgroup analysis reported ORR for patients &lt;65, 65-74, and &gt;75 of 56.3%, 68.8% and 72.4%, respectively. CR rates were 35.0%, 39.6%, and 48.3%, respectively. Grade &#x2265; 3 CRS and ICANS occurred at 2.5% and 0.6%, respectively (<xref ref-type="bibr" rid="B23">23</xref>). Though not statically significant, it appears that elderly patients &gt;65 years may receive the greatest benefit from epcoritamab in the R/R setting with manageable rates of CRS and ICANS.</p>
<p>Though not currently FDA approved for DLBCL (approved for R/R follicular lymphoma), mosunetuzumab has specifically been studied in elderly patients by Olszewski, et&#xa0;al. They evaluated the safety and efficacy of mosunetuzumab in the front-line treatment for elderly or unfit patients for SOC chemoimmunotherapy. They enrolled patients into two age groups, 60-79 years and &#x2265; 80 years, who had other comorbidities or limitations that prevented their candidacy for standard chemoimmunotherapy. They recently reported an updated 1-year follow-up of their Phase I/II study in which the median age of the patients was 83 years and after a median of 8 cycles and median follow-up of 23.3 months, the ORR and CR rates were 56% and 43%, respectively. The median duration of CR was 15.8 months. There was no grade &gt;3 CRS and no reports of ICANS (<xref ref-type="bibr" rid="B24">24</xref>). More recently, mosunetuzumab is being studied in combination with the antibody-drug conjugate, polatuzumab vedotin, by Olszewski, et&#xa0;al. as front-line treatment for elderly/unfit patients with DLBCL. They again enrolled patients into two age groups, 60-79 years and &#x2265; 80 years. With median age of 81 years, preliminary results for ORR and CR have been reported at 55% and 45%, respectively. CRS was common, and all events resolved within a median of 2 days (<xref ref-type="bibr" rid="B25">25</xref>). Current guidelines recommend lower intensity chemoimmunotherapy for elderly and unfit patients, such as R-mini-CHOP, in which retrospective studies have reported ORR and CR rates of 79% and 53%, respectively (<xref ref-type="bibr" rid="B26">26</xref>). Thus, with ORRs and CRs ranging from 55-56% and 43-45%, respectively, for upfront mosunetuzumab both as monotherapy and in combination with antibody-drug conjugates, further investigation is needed to fully evaluate the benefits of bispecific antibody use in the front-line setting.</p>
<p>In the R/R setting, mosunetuzumab was evaluated by Bartlett, et&#xa0;al. in their Phase I/II study. With a median age of 66.5 years, they reported an ORR and CR of 42.0% and 23.9%, respectively. There were no age-related sub-group analyses reported in their study (<xref ref-type="bibr" rid="B27">27</xref>). Similarly, mosunetuzumab is being evaluated in combination with polatuzumab vedotin in R/R large B-cell lymphomas by Budde et&#xa0;al. Preliminary reports show that, with a median age of 68.0 years, 87.8% of patients with DLBCL have ORR and CR rates of 62.2% and 50%, respectively. The rate of any grade CRS was 18.4% (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Lastly, the ELM-1 study evaluated odronextamab in R/R NHL. This is a phase I dose-escalation study in which the median age was 67 years with 59% of patients being &#x2265; 65. Of the 145 patients enrolled, 85 patients had a diagnosis of DLBCL (58.6%). Though there was no age-related subgroup analysis, subgroup analysis was reported based on prior CAR T-cell therapy. For those patients with DLBCL who did not receive prior CAR T-cell therapy, ORR was 53%, with all responses being CR for those patients who received doses of 80 mg or higher. For those patients who had received prior CAR T-cells, ORR was 33% with CR of 27%. Overall rates of grade &#x2265; 3 CRS and ICANS were 7% and 3%, respectively (<xref ref-type="bibr" rid="B29">29</xref>). Thus, odronextamab seems to have similar response rates and rates of CRS/ICANS as other bispecific antibody therapies, but possibly higher CR rates, especially especially in those who have not received prior CAR T therapy. Further subgroup analysis is needed to assess specific efficacy in elderly and unfit patients.</p>
<p>The use of single agent bispecific antibody therapies provides an effective and safe option for elderly/unfit patients, especially in the R/R setting. With lower rates of CRS/ICANS, the side effect profiles become much safer and tolerable in comparison to CAR T-cell therapy for this specific patient population. Both glofitamab and epcoritamab have received FDA-approval in the third-line setting. Thus far, there appears to be substantial benefit be in the R/R setting, even in those that have failed CAR T-cell therapy. Current studies are further assessing safety and efficacy of bispecifics in combinations with antibody-drug conjugates, as well as in combination with cellular therapies (i.e. preceding CAR T-cell therapy) and chemotherapy. <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> outlines the available evidence supporting the safety and efficacy of bispecific antibody therapy. Further studies and subgroup analyses are needed to better understand and optimize the benefits of bispecific antibody therapies for elderly DLBCL patients, but they may be a more accessible and less toxic option.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Safety and efficacy of bispecific antibody therapies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Study/Author</th>
<th valign="top" align="center">Comparison/Intervention</th>
<th valign="top" align="center">Response</th>
<th valign="top" align="center">Survival</th>
<th valign="top" align="center">Adverse Events</th>
<th valign="top" align="center">Other</th>
<th valign="top" align="center">Ref #</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Dickinson et&#xa0;al.</td>
<td valign="top" align="center">Glofitamab</td>
<td valign="top" align="center">CR<break/>&#x2265;65 &#x2013; 38%<break/>&lt;65 &#x2013; 41%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade 3 CRS:<break/>Overall &#x2013; 3%<break/>Grade 4 CRS:<break/>Overall &#x2013; 1%<break/>Grade &#x2265; 3 ICANS:<break/>Overall &#x2013; 3%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B21">21</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">STARGLO</td>
<td valign="top" align="center">Glofitamab + GemOx vs R-GemOx in patients unfit for AutoHCT</td>
<td valign="top" align="center">ORR<break/>Glofit-GemOx<break/>-68.3%<break/>R-GemOx<break/>-40.7%<break/>CR<break/>Glofit-GemOx<break/>-58.5%<break/>R-GemOx<break/>-25.3%</td>
<td valign="top" align="center">mOS<break/>Glofit-GemOx<break/>-25.5 mo<break/>R-GemOx<break/>-12.9 mo<break/>mPFS<break/>Glofit-GemOx<break/>-13.8 mo<break/>R-GemOx<break/>-3.6 mo</td>
<td valign="top" align="center">Grade &gt;3 AEs:<break/>Glofit-GemOx: 77.8%<break/>R-GemOx: 40.9%<break/>Grade &gt;3 CRS<break/>Glofit-GemOx: 2.3%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B22">22</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">EPCORE NHL-1</td>
<td valign="top" align="center">Epcoritamab for R/R disease</td>
<td valign="top" align="center">ORR<break/>&lt;65 &#x2013; 56.3%<break/>65-75 &#x2013; 68.8%<break/>&gt;75 &#x2013; 72.4%<break/>CR<break/>&lt;65 &#x2013; 35.0%<break/>65-75 &#x2013; 39.6%<break/>&gt;75 &#x2013; 48.3%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade &gt;3 CRS:<break/>Overall &#x2013; 2.5%<break/>Grade &gt;3 ICANS:<break/>Overall &#x2013; 0.6%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B23">23</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Olszewski et&#xa0;al.</td>
<td valign="top" align="center">Mosunetuzumab for front-line in elderly 60-80yrs</td>
<td valign="top" align="center">ORR &#x2013; 56%<break/>CR &#x2013; 43%<break/>mDO(CR) &#x2013; 15.8 mo</td>
<td valign="top" align="center"/>
<td valign="top" align="center">No grade &gt;3 CRS<break/>No grade &gt;3 ICANS</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B24">24</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Olszewski et&#xa0;al.</td>
<td valign="top" align="center">Mosunetuzumab + Polatuzumab vedotin for front-line in elderly/unfit</td>
<td valign="top" align="center">Preliminary:<break/>ORR &#x2013; 55%<break/>CR &#x2013; 45%</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B25">25</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Bartlett et&#xa0;al.</td>
<td valign="top" align="center">Mosunetuzumab for R/R disease</td>
<td valign="top" align="center">Overall:<break/>ORR &#x2013; 42.0%<break/>CR &#x2013; 23.9%<break/>(no age-related subgroup analysis)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Budde et&#xa0;al.</td>
<td valign="top" align="center">Moasunetuzumab + Polatuzumab vedotin for R/R disease</td>
<td valign="top" align="center">Preliminary:<break/>ORR &#x2013; 62.2%<break/>CR &#x2013; 50%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Any grade CRS &#x2013; 18.4%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B28">28</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">ELM-1</td>
<td valign="top" align="center">Odronextamab for R/R NHL</td>
<td valign="top" align="center">No prior CAR T<break/>ORR - 53% (all CR)<break/>Prior CAR T<break/>ORR &#x2013; 33%<break/>CR &#x2013; 27%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Grade &gt;3 CRS:<break/>Overall &#x2013; 7.0%<break/>Grade &gt;3 ICANS:<break/>Overall &#x2013; 3.0%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B29">29</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CR, Complete Response; CRS, Cytokine Release Syndrome; ICANS, Immune Effector Cell-Associated Neurotoxicity Syndrome; R, Rituximab; GemOx, Gemcitabine + Oxaliplatin; AutoHCT, Autologous Hematopoietic Stem Cell Transplantation; ORR, Objective Response Rate; mOS, median Overall Survival; mPFS, median Progression-Free Survival; AEs, Adverse Events; R/R, Relapsed/Refractory; mDO(CR), median Duration of Complete Response; NHL, Non-Hodgkin Lymphoma; CAR T, Chimeric Antigen T-Cell Receptor Therapy.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4">
<title>High-dose chemotherapy and autologous stem cell transplantation</title>
<p>Prior to the advent of CAR T-cell therapy, high-dose chemotherapy and autoHCT was the SOC curative-intent treatment for patients with R/R DLBCL. The PARMA study established PFS and OS benefit of high-dose chemotherapy and autoHCT as compared to conventional chemotherapy in patients with relasped chemo-sensistive NHL (<xref ref-type="bibr" rid="B30">30</xref>). The five-year OS was 53% in the transplantation group compared to 32% in the conventional treatment group; EFS was 46% with autoHCT versus 12% with conventional treatment. Rates of toxicity and infection were higher in the autoHCT group, and no patients in the conventional therapy group died from toxicity-related events. The superior EFS and OS with autoHCT compared to conventional therapy established this treatment as the SOC for eligible patienets with R/R DLBCL. The median age in the PARMA trial was 43, with the upper age limit being 60, providing limited data on outcomes in older patients. In high-risk DLBCL patients in the pre-rituximab era, autoHCT was also considered as consolidation in first remission; however, this approach did not show benefit when compared to rituximab in addition to chemotherapy (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>The potential for cardiovascular, gastrointestinal, infectious, and other toxicities due to conditioning chemotherapy are a primary concern in older patients with R/R DLBCL being considered for high-dose chemotherapy and autoHCT. Furthermore, non-relapse mortality (NRM) or treatment-related mortality (TRM) is a major factor in the decision to proceed with autoHCT. Several variables that may affect NRM/TRM and toxicity have been examined in retrospective analyses, including risk stratification categories such as the hematopoietic cell transplantion-specific comorbidity index (HCT-CI), response to salvage therapy, disease status at the time of transplantation, and age 60 or older at the time of autoHCT.</p>
<p>Several retrospective studies have analyzed TRM in older patients undergoing high-dose chemotherapy and autoHCT for NHL (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Specifically in the DLBCL population, Jantunen et&#xa0;al. utilized the European Blood and Marrow Transplantation Registry to analyze outcomes in a cohort of 2612 patients with R/R DLBCL from 2000 to 2005; 18% of these patients were &gt;60 years (<xref ref-type="bibr" rid="B34">34</xref>). They found that the older population received at least two prior lines of therapy, were less commonly in first remission at the time of transplantation, and also underwent autoHCT later after their diagnosis, 14 months versus 7.5 months for patients &lt;60 years. NRM was higher in patients &gt;60 versus &lt;60; 4.4% vs 2.8% at 100 days, 8.7% vs 4.7% at 1year, and 10.8% vs 6.5% at 3 years. Three-year PFS and OS were also lower in the older vs younger population, 51% vs 62%, and 60% vs 70%, respectively. Munshi et&#xa0;al. reported outcomes for autoHCT patients aged 60-69 versus &gt;70 with R/R DLBCL undergoing BEAM, with or without rituximab, using data from the Center for International Blood and Marrow Transplant Research data from 2008 to 2019 (<xref ref-type="bibr" rid="B35">35</xref>). On univariate analysis, 100-day NRM was not significantly different in the two cohorts, 3% vs 4%, respectively, in the 60-69 and &gt;70 groups. The 1-year NRM was also similar, 6% vs 8%, respectively. Incidence of relapse/progression at 5 years was not statistically significant between the 60-69 and &gt;70 cohorts, at 47% and 45%, respectively. Multivariate analysis also showed no significant difference in NRM or relapse in patients aged 60-69 vs &gt;70 years. PFS was also not significantly different between the two groups. There was, however, a statistically significant difference in OS at five years, 55% in the 60-69 cohort versus 41% in the &gt;70 cohort (p=0.02). With additional analysis of infections and cause of death, this was attributed mainly to inferior post-relapse survival in the &gt;70 group. A small single-center study by Bitran et&#xa0;al. reported on 11 patients undergoing high-dose chemotherapy and autoHCT between 1995 and 2002 (<xref ref-type="bibr" rid="B36">36</xref>). The 1-year TRM was 9% and the median disease-free survival was 17 months. This was in comparison to a 1-year TRM of 2.5% in a cohort of 78 patients under age 65 receiving the same treatment during this time period. The 1-year DFS for patients &gt;65 and &lt;65 was 67% vs 74%, respectively, and OS was 67% and 81%, respectively. Although TRM was greater in patients &gt;65, DFS and OS were similar.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Retrospective analyses of older adults with NHL treated with high-dose chemotherapy and autoHCT.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Author</th>
<th valign="top" align="center">Year of Publication</th>
<th valign="top" align="center">Age and Number of patients</th>
<th valign="top" align="center">NHL Subtypes and % DLBCL</th>
<th valign="top" align="center">Conditioning Regimen(s)</th>
<th valign="top" align="center">PFS</th>
<th valign="top" align="center">OS</th>
<th valign="top" align="center">100-Day TRM/NRM</th>
<th valign="top" align="center">Late TRM/NRM</th>
<th valign="top" align="center">Reference<break/>Number</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Jantunen et&#xa0;al.</td>
<td valign="top" align="center">2008</td>
<td valign="top" align="center">&#x2265;60y &#x2013; 416<break/>&lt;60y - 2149</td>
<td valign="top" align="center">DLBCL &#x2013; 100%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">3-yr PFS:<break/>&#x2265;60 &#x2013; 51%<break/>&lt;60y &#x2013; 62%</td>
<td valign="top" align="center">3-yr OS:<break/>&#x2265;60y &#x2013; 60%<break/>&lt;60y &#x2013; 70%</td>
<td valign="top" align="center">100-day NRM:<break/>&#x2265;60y &#x2013; 4.4%<break/>&lt;60y &#x2013; 2.8%</td>
<td valign="top" align="center">1-yr NRM:<break/>&#x2265;60y &#x2013; 8.7%<break/>&lt;60y &#x2013; 4.7%<break/>3-yr NRM:<break/>&#x2265;60y &#x2013; 10.8%<break/>&lt;60y &#x2013; 6.5%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B34">34</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Munshi et&#xa0;al.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">60-69y &#x2013; 363<break/>&#x2265;70y - 103</td>
<td valign="top" align="center">DLBCL &#x2013; 100%</td>
<td valign="top" align="center">BEAM</td>
<td valign="top" align="center">5-yr PFS:<break/>60-69 &#x2013; 40%<break/>&#x2265;70 &#x2013;<break/>38%</td>
<td valign="top" align="center">5-yr OS:<break/>60-69 &#x2013; 55%<break/>&#x2265;70 &#x2013; 41%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B35">35</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Bitran et&#xa0;al.</td>
<td valign="top" align="center">2003</td>
<td valign="top" align="center">&#x2265;65y - 11</td>
<td valign="top" align="center">Large B-cell Lymphoma</td>
<td valign="top" align="center">TBI-CyEtop &#x2013; 55%<break/>BEAM &#x2013; 45%</td>
<td valign="top" align="center">4-yr DFS &#x2013; 44%</td>
<td valign="top" align="center">4-yr OS &#x2013; 44%</td>
<td valign="top" align="center">100-day TRM &#x2013; 9%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Dahi et&#xa0;al.</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">&#x2265;60y &#x2013; 202</td>
<td valign="top" align="center">DLBCL &#x2013; 37%<break/>MCL &#x2013; 34%<break/>FL &#x2013; 6%<break/>CNSL &#x2013; 7%<break/>TCL &#x2013; 12%<break/>Other &#x2013; 4%</td>
<td valign="top" align="center">BEAM &#x2013; 74%<break/>R-BEAM &#x2013; 5%<break/>RIT-BEAM &#x2013; 6%<break/>Other &#x2013; 15%</td>
<td valign="top" align="center">3-yr PFS: 60%</td>
<td valign="top" align="center">3-yr OS: 73%</td>
<td valign="top" align="center">4%</td>
<td valign="top" align="center">4%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Hermet et&#xa0;al.</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">&#x2265;70y - 81</td>
<td valign="top" align="center">DLBCL &#x2013; 50%<break/>FL &#x2013; 20%<break/>MCL &#x2013; 19%<break/>TCL &#x2013; 6%<break/>Other &#x2013; 5%</td>
<td valign="top" align="center">BEAM &#x2013; 75%<break/>Melphalan &#x2013; 17%</td>
<td valign="top" align="center">mPFS &#x2013; 21mo</td>
<td valign="top" align="center">mOS &#x2013; 43 mo</td>
<td valign="top" align="center">100-day NRM: 5.4%</td>
<td valign="top" align="center">1-yr NRM: 8.5%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Lemieux et&#xa0;al.</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">&#x2265;60y - 90</td>
<td valign="top" align="center">DLBCL &#x2013; 38%<break/>FL &#x2013; 36%<break/>MCL &#x2013; 20%</td>
<td valign="top" align="center">BEAM &#x2013; 44%<break/>BEAC &#x2013; 50%<break/>BuCyEtop &#x2013; 6%</td>
<td valign="top" align="center">5-yr PFS: 47%<break/>mPFS: 56mo</td>
<td valign="top" align="center">5-yr OS: 60%<break/>mOS: not reached</td>
<td valign="top" align="center">100-day NRM: 1%</td>
<td valign="top" align="center">1-yr NRM: 1%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B39">39</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Martin et&#xa0;al.</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">&#x2265;65y - 73</td>
<td valign="top" align="center">DLBCL</td>
<td valign="top" align="center">BEAM &#x2013; 100%</td>
<td valign="top" align="center">2-yr PFS: 67.2%<break/>mPFS: not reached</td>
<td valign="top" align="center">2-yr OS: 78.5%<break/>mOS: 90 mo</td>
<td valign="top" align="center">100-day TRM: 2.7%</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Sun L et&#xa0;al.</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">&#x2265;70y &#x2013; 107</td>
<td valign="top" align="center">DLBCL &#x2013; 58%<break/>FL &#x2013; 7%<break/>TCL &#x2013; 17%<break/>MCL &#x2013; 10%<break/>HL &#x2013; 5%<break/>PCNSL &#x2013; 3%</td>
<td valign="top" align="center">CBV &#x2013; 44%<break/>BEAM &#x2013; 31%<break/>BuCy &#x2013; 24%<break/>Other &#x2013; 1%</td>
<td valign="top" align="center">2-yr PFS: 58%</td>
<td valign="top" align="center">2-yr OS: 65%</td>
<td valign="top" align="center">100-day TRM: 2%</td>
<td valign="top" align="center">1-yr NRM: 5%<break/>2-yr NRM: 7%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Gohil et&#xa0;al.</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">&#x2265;60y &#x2013; 81</td>
<td valign="top" align="center">DLBCL &#x2013; 25%<break/>MCL &#x2013; 23%<break/>FL &#x2013; 17%<break/>HL &#x2013; 11%<break/>TCL &#x2013; 10%<break/>Other &#x2013; 14%</td>
<td valign="top" align="center">BEAM or LEAM</td>
<td valign="top" align="center">5-yr PFS:<break/>Overall - 49%<break/>&#x2265;65 &#x2013; 27%<break/>60-64 &#x2013; 57%</td>
<td valign="top" align="center">5-yr OS:<break/>Overall &#x2013; 54%<break/>&#x2265;65 &#x2013; 47%<break/>60-64 &#x2013; 57%</td>
<td valign="top" align="center">100-day NRM: 1.3%</td>
<td valign="top" align="center">1-yr NRM: 2.5%<break/>2-yr NRM: 5.1%<break/>5-yr NRM: 10.8%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Jantunen et&#xa0;al.</td>
<td valign="top" align="center">2006</td>
<td valign="top" align="center">&gt;60y - 88</td>
<td valign="top" align="center">DLBCL &#x2013; 33%<break/>MCL &#x2013; 31%<break/>FL &#x2013; 17%<break/>TCL &#x2013; 14%<break/>Other &#x2013; 5%</td>
<td valign="top" align="center">BEAC &#x2013; 56%<break/>BEAM &#x2013; 39%<break/>TBI-Cy &#x2013; 5%</td>
<td valign="top" align="center">2-yr PFS:<break/>Overall &#x2013; 62%<break/>5-yr PFS:<break/>Overall &#x2013; 45%</td>
<td valign="top" align="center">2-yr OS:<break/>Overall &#x2013; 63%<break/>5-yr OS:<break/>Overall &#x2013; 44%<break/>DLBCL &#x2013; 38%</td>
<td valign="top" align="center">100-day TRM:<break/>Overall - 11%<break/>BEAM &#x2013; 18%<break/>BEAC &#x2013; 9%<break/>DLBCL &#x2013; 10%</td>
<td valign="top" align="center">&gt;100-day TRM &#x2013; 7%<break/>4-yr NRM &#x2013; 19%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Gopal et&#xa0;al.</td>
<td valign="top" align="center">2001</td>
<td valign="top" align="center">&#x2265;60y - 53</td>
<td valign="top" align="center">Aggressive &#x2013; 83%<break/>Chemosensitive &#x2013; 75%</td>
<td valign="top" align="center">BuMelTh &#x2013; 45%<break/>TBI-CyEtop &#x2013; 30%<break/>TBI-Cy &#x2013; 15%<break/>Other &#x2013; 10%</td>
<td valign="top" align="center">4-yr PFS &#x2013; 24%</td>
<td valign="top" align="center">4-yr OS:<break/>Overall &#x2013; 33%<break/>Chemosens &#x2013; 39%<break/>Chemoresist &#x2013; 15%</td>
<td valign="top" align="center">100-day TRM &#x2013; 9.4%</td>
<td valign="top" align="center">1-yr TRM &#x2013; 17.4%<break/>3-yr TRM &#x2013; 22.4%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Wildes et&#xa0;al.</td>
<td valign="top" align="center">2008</td>
<td valign="top" align="center">&#x2265;60y &#x2013; 59<break/>&lt;60y - 93</td>
<td valign="top" align="center">NHL</td>
<td valign="top" align="center">BEAM &#x2013; 100%</td>
<td valign="top" align="center">mDFS:<break/>&#x2265;60y &#x2013; 21.8 mo<break/>&lt;60y &#x2013; 29.9 mo</td>
<td valign="top" align="center">mOS:<break/>&#x2265;60y &#x2013; 47.7 mo<break/>&lt;60y &#x2013; 62.5 mo</td>
<td valign="top" align="center">100-day TRM:<break/>&#x2265;60y &#x2013; 8.5%<break/>&lt;60y &#x2013; 4.5%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Elstrom et&#xa0;al.</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">&#x2265;69y - 21</td>
<td valign="top" align="center">DLBCL &#x2013; 62%</td>
<td valign="top" align="center">BCV or BEAM</td>
<td valign="top" align="center">mPFS &#x2013; 8 mo</td>
<td valign="top" align="center">mOS &#x2013; 18 mo</td>
<td valign="top" align="center">100-day TRM: 19%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Andorsky et&#xa0;al.</td>
<td valign="top" align="center">2011</td>
<td valign="top" align="center">&#x2265;70y &#x2013; 17<break/>65-69y - 39</td>
<td valign="top" align="center">NHL</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">OS decreased in &gt;70 (HR 1.98)<break/>mOS:<break/>&#x2265;70y &#x2013; 2.6 yr<break/>65-69y &#x2013; 6 yr</td>
<td valign="top" align="center">100-day NRM:<break/>Increased in &gt;70 (HR 6.04)<break/>&#x2265;70y &#x2013; 17.65%<break/>65-69y &#x2013; 5.13%</td>
<td valign="top" align="center">1-yr NRM:<break/>&#x2265;70y &#x2013; 35%<break/>65-69y &#x2013; 8%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Hosing at al.</td>
<td valign="top" align="center">2008</td>
<td valign="top" align="center">&#x2265;65y - 99</td>
<td valign="top" align="center">DLBCL &#x2013; 53%<break/>MCL &#x2013; 15%<break/>FL &#x2013; 11%<break/>TCL &#x2013; 4%<break/>Other &#x2013; 17%</td>
<td valign="top" align="center">BEAM &#x2013; 42%<break/>R-BEAM &#x2013; 35%<break/>Cy/TBI &#x2013; 10%<break/>RIT-BEAM &#x2013; 2%</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">3-yr OS: 61%</td>
<td valign="top" align="center">26-mo NRM: 8%</td>
<td valign="top" align="center">36-mo NRM: 12%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="top" align="center">Wudhiukarn et&#xa0;al.</td>
<td valign="top" align="center">2023</td>
<td valign="top" align="center">&#x2265;65y<break/>492<break/>65-70y<break/>192<break/>&#x2265;70y<break/>130</td>
<td valign="top" align="center">de Novo DLBCL &#x2013; 41%<break/>Transformed DLBCL &#x2013; 18.3%<break/>Primary CNS lymphoma &#x2013; 7.5%<break/>MCL &#x2013; 13.2%<break/>Indolent B -cell NHL &#x2013; 0.4%<break/>T-cell NHL &#x2013; 12.2%<break/>HL 0.6%</td>
<td valign="top" align="center">BEAM &#x2013; 90%<break/>Thiotepa-Carmustine &#x2013; 9.1%<break/>High-dose melphalan &#x2013; 0.8%</td>
<td valign="top" align="center">3-year PFS 52.2%<break/>5-year PFS 43.9%</td>
<td valign="top" align="center">Overall 3-year OS 63.9%<break/>Overall 5-year OS 54.1%<break/>3-year OS 65-70<break/>73.6%<break/>3-year OS &gt;70 67.4%<break/>5-year OS 65-70<break/>56.9%<break/>5-year OS &gt;70<break/>49.7%</td>
<td valign="top" align="center">Overall 100-day NRM: 4.1%<break/>65-70: 3.7%<break/>&gt;70: 4.6%</td>
<td valign="top" align="center">Overall 1-year NRM: 6%<break/>65-70: 4.7%<break/>&gt;70: 7.8%<break/>Overall 3-year NRM 10.2%<break/>65-70: 9.1%<break/>&gt;70: 12%</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NR, Not Reached.</p>
</table-wrap-foot>
</table-wrap>
<p>Several other retrospective studies have analyzed outcomes of autoHCT in older patients with NHL, inclusive of but not limited to DLBCL. The 100-day TRM or NRM varies widely from 1% to 19% (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). As demonstrated by the range of reported 100-day TRM, some of these studies found the impact of age on TRM to be non-significant, while others found increased risk of toxicities and TRM in older patients. Hosing et&#xa0;al. reported on 99 patients with relapsed NHL (53% DLBCL) aged 65 or older and found that HCT-CI did not impact overall survival but was associated with increased risk of grade 3-5 toxicities (<xref ref-type="bibr" rid="B48">48</xref>). Contrastingly, Elstrom et&#xa0;al. found that high-risk HCTI-CI score was associated with inferior OS and higher TRM (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<p>Disease status at the time of autoHCT has also been evaluated in relation to survival. Lemieux et&#xa0;al. reported worse PFS and OS in patients with progressive disease (PD) or stable disease (SD) versus those with complete or partial response at time of transplanatation, with HR 5.0 for PFS and HR 6.52 for OS (<xref ref-type="bibr" rid="B39">39</xref>). Studies by Gopal et&#xa0;al. Hosing et&#xa0;al. also reported that PD or SD at the time of autoHCT is associated with inferior OS in older patients with NHL (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>Several of these studies further categorized patients into subgroups by age. Results from Munshi et&#xa0;al. are reported above (<xref ref-type="bibr" rid="B35">35</xref>), and Dahi et&#xa0;al. similarly reported PFS and OS outcomes in patients 60-64 and &gt;65 without any significant differences (<xref ref-type="bibr" rid="B37">37</xref>). Lemieux et&#xa0;al. found no difference in 5-year PFS and OS or in time to engraftment in patients 60-64 versus &gt;65 years (<xref ref-type="bibr" rid="B39">39</xref>). Patients aged 60-64 were more likely to receive BEAM preparative regimen (versus BEAC or Bus/Cy/Etoposide) and to receive total parenteral nutrition and narcotic medications compared to the &gt;65 subgroup, possibly highlighting the toxicity related to BEAM conditioning. Gohil et&#xa0;al. analyzed patients aged 60 and older and subcategorized them into those aged 60-64 and 65 and older (<xref ref-type="bibr" rid="B42">42</xref>). The &gt;65 group had significantly worse 5-year PFS and OS compared to those aged 60-64, 27.6% vs 57.7%, and 47.6% vs 57.7%, respectively. This difference was contributed mainly to increased relapse risk in the &gt;65 group, 53.8%, vs 30.1% in the 60-64 group. 100-day and 1-year NRM were not significantly different, 1.8% vs 0% and 3.6% vs 0%, respectively. Wudhikarn et&#xa0;al. reported outcomes of AutoHCT with R/R NHL in patients aged 65-70 and &gt;70 between 2000 and 2021 (<xref ref-type="bibr" rid="B49">49</xref>). The overall 100-day NRM was 4.1% for the entire cohort, and 3.7% in patients aged 65-70 vs 4.6% in those &gt;70 years. In subgroup analysis, NRM in the &gt;70 cohort was lower in more recent years: 6.8% from 2000 to 2008 vs 3.6% from 2009 to 2021. Both the 3-year and 5-year OS were superior in the younger cohort compared to the older cohort: 73.6% vs 67.4% and 56.9% vs 49.7%, respectively. Heterogeneity in outcomes is again demonstrated here in further subgroups of older patients undergoing autoHCT for R/R NHL including DLBCL.</p>
</sec>
<sec id="s5">
<title>Second primary malignancies</title>
<p>The possibility of second primary malignancies (SPM) is also a consideration when counseling patients on the potential risks associated with cellular therapies including high-dose chemotherapy and autoHCT or CAR T-cell therapies. Dahi et&#xa0;al. found that SPM, consisting of either myelodysplastic syndrome or acute myeloid leukemia, occurred in 4% of patients aged 60 or older with NHL after autoHCT, with a rate of 10% in those aged 70 and older versus 2% in those ages 60-69 (<xref ref-type="bibr" rid="B37">37</xref>). In Wudhikarn&#x2019;s Mayo cohort analysis, SPM was the second most common cause of death after relapse, accounting for 13.5% of all deaths. Of the 28 total SPM, 20 were myeloid neoplasms (<xref ref-type="bibr" rid="B49">49</xref>).</p>
<p>More recently, the risk of SPM has been described with longer term follow up of the current FDA-approved CAR T-cell therapies. Hamilton et&#xa0;al. reported 26 SPM in a total of 791 CAR T-cell infusions. Fourteen of these were hematologic malignancies, including 13 cases of either MDS or AML and 1 case of a T-cell lymphoma (<xref ref-type="bibr" rid="B50">50</xref>). The cumulative incidence of second primary hematologic tumors at 3-year follow up after CAR T-cell infusions was 6.5%. Ghilardi et&#xa0;al. also reported on 449 patients treated with CD19- and BCMA-directed CAR T-cell therapies at the University of Pennsylvania (<xref ref-type="bibr" rid="B51">51</xref>). They identified a total of 16 (3.6%) SPM at a median follow up of 10.3 months. Only one case of a T-cell lymphoma was identified. Further investigation into the incidence of SPM, in particular T-cell lymphomas and the risk of viral vector integration, is ongoing with longer term follow up of CAR T-cell therapies. Patients should be counseled on the risk of SPM following these cellular therapies.</p>
</sec>
<sec id="s6" sec-type="discussion">
<title>Discussion</title>
<p>Cellular therapies have transformed the landscape of treatment for R/R DLBCL, a disease that historically had poor outcomes with chemotherapy alone. Older adults have limited treatment options due to their ability to tolerate traditional treatments for R/R DLBCL, such as salvage chemotherapy and high-dose chemotherapy with autoHCT. With the approval of numerous CAR T-cell products and bispecific antibodies, as well as improvements in the tolerability of autoHCT in older patients, these treatments should be considered carefully in the older adult population. The overall fitness and functional status of the patient, their comorbidities, disease risk stratification, disease status, and access to a transplant centers should all be evaluated when considering cellular therapies for an older adult with R/R DLBCL. Age alone should not be a limiting factor for these potentially curative treatments.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>NE: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization. AT: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization, Formal analysis, Supervision. GM-A: Writing &#x2013; review &amp; editing. JT: Conceptualization, Formal analysis, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. NE was supported by the NCATS through grant number UL1 TR001860 and linked award KL2 TR001859.</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="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>
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