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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.2024.1488749</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Indole 3-acetate and response to therapy in borderline resectable or locally advanced pancreatic cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Braadland</surname>
<given-names>Peder R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Farnes</surname>
<given-names>Ingvild</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Kure</surname>
<given-names>Elin H.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yaqub</surname>
<given-names>Sheraz</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>McCann</surname>
<given-names>Adrian</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
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<contrib contrib-type="author">
<name>
<surname>Ueland</surname>
<given-names>Per M.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Labori</surname>
<given-names>Knut J&#xf8;rgen</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Hov</surname>
<given-names>Johannes R.</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="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<xref ref-type="author-notes" rid="fn004">
<sup>&#x2021;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1075072"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Research Institute of Internal Medicine and Norwegian PSC Research Center, Division of Surgery and Specialized Medicine, Oslo University Hospital</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Clinical Medicine, University of Oslo</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Hepato-Pancreato-Biliary Surgery, Oslo University Hospital</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Natural Sciences and Environmental Health, University of South-Eastern Norway</institution>, <addr-line>B&#xf8; i Telemark</addr-line>, <country>Norway</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>BEVITAL AS</institution>, <addr-line>Bergen</addr-line>, <country>Norway</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Clinical Science, University of Bergen</institution>, <addr-line>Bergen</addr-line>, <country>Norway</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Section of Gastroenterology, Department of Transplantation Medicine, Oslo University Hospital</institution>, <addr-line>Oslo</addr-line>, <country>Norway</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Serena Veschi, University of Studies G. d&#x2019;Annunzio Chieti and Pescara, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Avinash Lomash, Medanta The Medicity Hospital, India</p>
<p>Varun Suroliya, Artemis Hospitals, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Johannes R. Hov, <email xlink:href="mailto:j.e.r.hov@medisin.uio.no">j.e.r.hov@medisin.uio.no</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn004">
<p>&#x2021;ORCID: Johannes R. Hov, <uri xlink:href="https://orcid.org/0000-0002-5900-8096">orcid.org/0000-0002-5900-8096</uri>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1488749</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Braadland, Farnes, Kure, Yaqub, McCann, Ueland, Labori and Hov</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Braadland, Farnes, Kure, Yaqub, McCann, Ueland, Labori and Hov</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/Aims</title>
<p>It was recently reported that a higher concentration of the bacterially produced metabolite indole 3-acetate (3-IAA) in blood was linked to a better response to chemotherapy in patients with metastatic pancreatic ductal adenocarcinoma (PDAC). Here, we aimed to extend these observations to patients diagnosed with non-metastatic PDAC.</p>
</sec>
<sec>
<title>Method</title>
<p>We measured circulating 3-IAA in samples from a prospective population-based cohort of 124 patients with borderline resectable or locally advanced PDAC, collected before initiating neoadjuvant chemotherapy. The majority (61%) of the patients were treated with FOLFIRINOX. We used univariable and multivariable Cox proportional hazards regression to estimate the association between pre-treatment 3-IAA and overall survival.</p>
</sec>
<sec>
<title>Results</title>
<p>The median serum 3-IAA concentration before chemotherapy was 290 (interquartile range 203&#x2013;417) ng/mL. The unadjusted hazard ratio (HR) for pre-treatment log<sub>2</sub>(3-IAA) was 0.93, 95% confidence interval (CI) [0.74&#x2013;1.16], p=0.52. When adjusting for age, ECOG, CA19-9 and tumor classification, the HR for log<sub>2</sub>(3-IAA) was 0.87, 95% CI [0.68&#x2013;1.12], p=0.28.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our findings suggest that the potentiating effect of 3-IAA observed in metastatic PDAC undergoing chemotherapy may not translate to borderline resectable or locally advanced PDAC. We recommend additional clinical validation of 3-IAA&#x2019;s predictive value in different categories of PDAC before implementation attempts in human studies are initiated.</p>
</sec>
</abstract>
<kwd-group>
<kwd>pancreatic adenocarcinoma</kwd>
<kwd>chemotherapy - oncology</kwd>
<kwd>biomarkers</kwd>
<kwd>microbiome</kwd>
<kwd>indoles</kwd>
<kwd>3-IAA</kwd>
<kwd>indole 3-acetic acid</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="16"/>
<page-count count="6"/>
<word-count count="2201"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Pancreatic ductal adenocarcinoma (PDAC) is one the most lethal cancers, with an incidence rate of about 15 per 100 000 per year in Norway (2023) (<xref ref-type="bibr" rid="B1">1</xref>). About 85% of patients with PDAC are not eligible for upfront surgery with curative intent. Many of these receive neoadjuvant or palliative therapy, but unfortunately, the response rates are low (<xref ref-type="bibr" rid="B2">2</xref>). Biomarkers of chemotherapy response are crucial for selecting patients who are likely to benefit from treatment in a personalized way (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>In PDAC, carbohydrate antigen 19-9 (CA19-9) is the most commonly used biomarker for therapy response, but has limited predictive power (<xref ref-type="bibr" rid="B4">4</xref>). Considering new methods in oncology in general, tumor characteristics like expression of specific receptors or the presence of gene rearrangements have so far been the typical candidates as biomarkers (<xref ref-type="bibr" rid="B3">3</xref>). The gut microbiota composition has been increasingly associated with multiple health characteristics, including the response to some cancer therapies (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Recently, Tintelnot et&#xa0;al. identified circulating levels of the gut microbial metabolite indole 3-acetate (3-IAA) as positively associated with response to chemotherapy in metastatic pancreatic ductal adenocarcinoma (PDAC) (<xref ref-type="bibr" rid="B7">7</xref>). In an elegant experimental and molecular characterization study, the mechanism of increased chemotherapeutic effect was found to depend on oxidation of 3-IAA by myeloperoxidase from neutrophils, which subsequently increased reactive oxygen species in tumor cells and hence tumor cell death. The study introduced a novel concept, whereby a metabolite produced by gut microbes is absorbed systemically and modifies chemotherapy response in the host (<xref ref-type="bibr" rid="B8">8</xref>). In the study, chemotherapy response in mice could even be improved by supplementing the diet with the 3-IAA precursor tryptophan, leading to increased 3-IAA levels, suggesting that a similar adjuvant approach may demonstrate clinical efficacy in humans.</p>
<p>Chemotherapy in metastatic PDAC is given with palliative intent, but it is the primary treatment for patients with borderline resectable or locally advanced PDAC in order to improve resection rates with curative intent (<xref ref-type="bibr" rid="B2">2</xref>). We therefore measured 3-IAA in a cohort of patients with borderline resectable or locally advanced PDAC before starting chemotherapy (<xref ref-type="bibr" rid="B9">9</xref>), aiming to investigate if elevated serum 3-IAA associates with therapeutic response in a PDAC population without distant metastases.</p>
</sec>
<sec id="s2">
<title>Patients and methods</title>
<sec id="s2_1">
<title>Study design and participants</title>
<p>The participants included in this study were from the NORPACT-2 study (<xref ref-type="bibr" rid="B9">9</xref>), which was a prospective, population-based cohort of patients with borderline resectable or locally advanced PDAC enrolled at the Oslo University Hospital between 2018 and 2020. We included 124 patients who had donated blood before initiation of any chemotherapy (flowchart shown in <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure S1</bold>
</xref>). A subset of 35 (28%) patients who were available and willing to donate additional samples had a second blood draw 2&#x2013;4 months after initiation of chemotherapy. The study protocol was approved by the Regional Ethical Committee of Medical and Health Research Ethics Nord 2017/1382. To assess population concentrations of 3-IAA, n=100 healthy control serum samples (median age 40, female 41%) studied in the context of other studies were also included (<xref ref-type="bibr" rid="B10">10</xref>), approved by the Regional Ethical Committee of Medical and Health Research Ethics South-Eastern Norway 2015/2140.</p>
</sec>
<sec id="s2_2">
<title>Outcome, definitions and diagnostic criteria</title>
<p>Borderline resectable or locally advanced PDAC was diagnosed according to the National Comprehensive Cancer Network (NCCN) criteria, version 2, 2017 (<xref ref-type="bibr" rid="B2">2</xref>). Distant metastases were ruled out using computed tomography (CT) scans of the abdomen and chest. Fine-needle aspiration cytology or biopsy by endoscopic ultrasound was required to confirm PDAC. The chemotherapy regimen was decided by the treating medical oncologist at the local hospital.</p>
<p>The primary outcome was defined as overall survival, and time to the outcome was defined as the time from blood draw, which was done in conjunction with initiation of primary chemotherapy. A secondary outcome was included where participants were censored at their time of surgical resection (after start of primary chemotherapy) where applicable.</p>
</sec>
<sec id="s2_3">
<title>Targeted liquid chromatography-tandem mass spectrometry</title>
<p>Baseline and follow-up serum was sampled and stored according to a standardized procedure at Oslo University Hospital. Serum was left to coagulate for at least 30 minutes, followed by centrifugation at 2450 x g for 15 minutes and frozen and stored at -80&#xb0;C. Targeted metabolite analysis of 3-IAA was performed using a liquid chromatography-tandem mass spectrometry (LC-MS/MS) platform, which is also used for measuring B-vitamins and human and bacterial tryptophan metabolites at BEVITAL (<ext-link ext-link-type="uri" xlink:href="http://www.bevital.no">www.bevital.no</ext-link>) as described in Midttun et&#xa0;al. (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Briefly, 3-IAA was added to the established assay using indole-2,4,5,6,7-d<sub>5</sub>-3-acetic acid (3-IAAd<sub>5</sub>), obtained from C/D/N Isotopes Inc (Quebec, Canada), as internal standard. The retention times were 4.93&#xa0;min (3-IAA) and 4.91&#xa0;min (3-IAAd<sub>5</sub>). The analytes were detected in positive-ion multiple reaction monitoring (MRM) mode, using the ion-pairs of 176.2/130.2 m/z and 181.1/134.1 m/z for 3-IAA and 3-IAAd<sub>5</sub>, respectively.</p>
</sec>
<sec id="s2_4">
<title>Statistics</title>
<p>Surviving proportions were visualized by plotting Kaplan-Meier survival curves of quartiles of 3-IAA. Cox proportional hazards models were used to estimate 3-IAA&#x2019;s (log<sub>2</sub>-transformed) association with overall survival. We included ECOG performance status (modeled as a continuous variable), CA19-9 (log<sub>2</sub>-transformed), tumor classification (locally advanced or borderline resectable) and age in a multivariable Cox model.</p>
<p>To test for differences in distributions of continuous variables we used the Wilcoxon rank-sum test for independent observations and the Wilcoxon signed-rank test for paired observations. Distributions are given as median (interquartile range, IQR).</p>
<p>For any variable used in the analyses, data were missing in less than 5% of the participants and missing data were therefore not imputed. All data processing, visualization and statistical analyses were performed in R.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>In total, 124 patients (median 68 years, 47% male) with borderline resectable (n=68) or locally advanced PDAC (n=56) were included (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Seventy-six (61%) patients were treated with fluorouracil, leucovorin, irinotecan, and oxaliplatin (FOLFIRINOX), 26 (21%) with gemcitabine plus nab-paclitaxel, and 22 (18%) with gemcitabine monotherapy or other chemotherapy regimens.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of the study population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="left">N = 124</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age</td>
<td valign="middle" align="right">68 (60, 73)</td>
</tr>
<tr>
<td valign="middle" align="left">Sex, male</td>
<td valign="middle" align="right">58 (47%)</td>
</tr>
<tr>
<td valign="middle" align="left">Body mass index, median (IQR)</td>
<td valign="middle" align="right">23.9 (21.0, 27.0)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Performance status (ECOG)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0</td>
<td valign="middle" align="right">80 (65%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="middle" align="right">40 (32%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="right">4 (3.2%)</td>
</tr>
<tr>
<td valign="middle" align="left">Charlson comorbidity index (- for tumor/age)</td>
<td valign="middle" align="right"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0</td>
<td valign="middle" align="right">62 (50%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="middle" align="right">43 (35%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;1</td>
<td valign="middle" align="right">19 (15%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Anatomic tumor classification</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Borderline resectable</td>
<td valign="middle" align="right">68 (55%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Locally advanced</td>
<td valign="middle" align="right">56 (45%)</td>
</tr>
<tr>
<td valign="middle" align="left">CA19-9, kU/L</td>
<td valign="middle" align="right">289 (52, 825)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0-500 kU/L</td>
<td valign="middle" align="right">70 (59%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;500-1000 kU/L</td>
<td valign="middle" align="right">19 (16%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;1000 kU/L</td>
<td valign="middle" align="right">20 (17%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Non-producer</td>
<td valign="middle" align="right">7 (5.9%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hyperbilirubinemia</td>
<td valign="middle" align="right">2 (1.7%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Missing</td>
<td valign="middle" align="right">6 (4.8%)</td>
</tr>
<tr>
<td valign="middle" align="left">Biliary stent</td>
<td valign="middle" align="right">67 (54%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Tumor location</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Head</td>
<td valign="middle" align="right">101 (81%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Body/Tail</td>
<td valign="middle" align="right">23 (19%)</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor size (CT), mm</td>
<td valign="middle" align="right">35 (29, 43)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Primary chemotherapy</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Fluorouracil, leucovorin, irinotecan, &#x2003;and oxaliplatin</td>
<td valign="middle" align="right">76 (61%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Gemcitabine plus nab-paclitaxel</td>
<td valign="middle" align="right">26 (21%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Gemcitabine monotherapy</td>
<td valign="middle" align="right">18 (15%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other</td>
<td valign="middle" align="right">4 (3%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables are shown as median (IQR). CA19-9, Carbohydrate antigen 19-9; ECOG, Eastern Cooperative Oncology Group.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The median 3-IAA concentration before chemotherapy was 290 (IQR 203&#x2013;417) ng/mL. This was within the range of concentrations observed in n=100 healthy individuals analyzed in the context of another study (median 377 (IQR 303&#x2013;464) ng/mL). Serum 3-IAA was positively correlated with age (Spearman&#x2019;s &#x3c1;=0.33, p&lt;0.001; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure S2A</bold>
</xref>) but not with tumor diameter or serum CA19-9 (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figures S2B, C</bold>
</xref>). Pre-treatment 3-IAA was similar in the different chemotherapy groups (<xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure S2D</bold>
</xref>).</p>
<p>We found no statistically significant differences in pre-treatment 3-IAA concentrations according to response as defined by CT scan or CA19-9 decline (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>). The 3-IAA concentration was numerically higher in patients who later had surgical resection and in those alive after one year, but the difference was not statistically significant (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>). In participants with a second sample taken, 3-IAA concentrations were on average increased after chemotherapy (median 265 nmol/L before and 328 nmol/L after), but the increase was not statistically significant (p=0.24, <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure S2E</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A&#x2013;D)</bold> Distributions of 3-IAA by CT-response according to RECIST criteria <bold>(A)</bold>, CA19-9 decrease &gt; 50% <bold>(B)</bold>, whether surgical resection after neoadjuvant chemotherapy was performed or not <bold>(C)</bold>, and by one year survival status <bold>(D)</bold>. Statistical significance was tested using Mann-Whitney U tests. <bold>(E)</bold> Kaplan-Meier survival curves for overall survival for participants categorized by their pre-treatment 3-IAA concentration (quartiles) with number at risk below the plot. The result from a univariable Cox model for log(3-IAA) is shown as inset in the plot. 3-IAA, indole 3-acetate; CI, confidence interval; HR, hazard ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1488749-g001.tif"/>
</fig>
<p>The median survival time was 499 days (95% confidence interval (CI) 437&#x2013;597). Twenty-six (21%) patients were event-free at their last follow-up date. We stratified participants into quartiles by pre-treatment 3-IAA concentrations but found no significant differences in survival between the groups (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>), a finding supported by a Cox model where 3-IAA (log<sub>2</sub>) had a HR=0.93, 95% CI [0.74&#x2013;1.16], p=0.52. The model estimates were similar in the subgroups of borderline resectable or locally advanced cancer. Since 41 (33%) of the participants eventually had surgical resection of their primary tumor, which could influence survival, we evaluated the prognostic value of 3-IAA when censoring these cases at their time of surgery. Also here, we found no evidence of an association between 3-IAA and overall survival (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure S3</bold>
</xref>). Finally, using the full cohort, we adjusted 3-IAA for age, ECOG, CA19-9 and tumor classification, where 3-IAA (log<sub>2</sub>) had an adjusted HR=0.87, 95% CI [0.68&#x2013;1.12], p=0.28.</p>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the present study, serum 3-IAA concentration was not associated with response to chemotherapy or overall survival in a population-based cohort of borderline resectable or locally advanced PDAC starting chemotherapy. The results suggest that high 3-IAA levels do not predict chemotherapy response in borderline resectable or locally advanced PDAC.</p>
<p>The only data available for comparison are from the seminal paper by Tintelnot and co-workers (<xref ref-type="bibr" rid="B7">7</xref>) where an association between 3-IAA and chemotherapy response in PDAC was found. There are several differences between these studies that could potentially explain these conflicting observations. The association between chemotherapy response and 3-IAA in the Tintelnot et&#xa0;al. study was investigated in a total of 47 patients divided on two cohorts of metastatic PDAC (<xref ref-type="bibr" rid="B9">9</xref>). In contrast, while we studied more than the double number of patients (n=124), our population had no signs of distant metastasis. Patients with non-metastatic cancers often have a smaller total tumor load, better functional status (<xref ref-type="bibr" rid="B12">12</xref>), and differences in tumor biology compared with metastatic cancers (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B13">13</xref>), all of which may influence the effect of chemotherapy and its modifiers.</p>
<p>Another major difference is the analytical methods. The median 3-IAA concentration in the present study was about 10-fold higher than what was found in Tintelnot et&#xa0;al. In a healthy control population analyzed in the context of other ongoing studies, the median 3-IAA was within the same order of magnitude. We therefore speculate that the discrepancy in 3-IAA concentrations arose mainly from assay differences, and it is difficult to exclude that this may in part contribute to the diverging results. Notably, the present data were generated with high quality LC-MS/MS-based methodology with a radioactively labelled internal standard. Nonetheless, if inter-individual variation in 3-IAA measurements was consistent with the two methods, we would expect to find an association with survival in our cohort if it truly existed. In our univariable model, 3-IAA had a wide confidence interval (0.74&#x2013;1.16). While this makes it challenging to confidently assert the presence or absence of an effect, any potential clinical significance appears most likely to be small.</p>
<p>A third point is that apparent predictive performances in discovery cohorts are often optimistic and models commonly perform worse in new populations for a variety of reasons (<xref ref-type="bibr" rid="B14">14</xref>). This is illustrated in the study from Tintelnot et&#xa0;al. where the effect size observed in the second human PDAC cohort was lower than in the first cohort (explained variance in the correlation between 3-IAA and survival time was R<sup>2</sup> = 0.51 in a cohort from Hamburg and R<sup>2</sup> = 0.24 in a cohort from Munich).</p>
<p>One of the imitations of our study is that 54% of the patients received a biliary stent due to jaundice, and it remains unclear whether hyperbilirubinemia influences the gut metabolism of tryptophan, the precursor of 3-IAA (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Furthermore, only 28% of the cohort had a second blood sample withdrawn for serum 3-IAA measurement and only 61% were treated with FOLFIRINOX.</p>
<p>In conclusion, our results do not align with the optimism generated by Tintelnot et&#xa0;al.&#x2019;s study. Additional validation of 3-IAA as a biomarker of chemotherapy response in PDAC is necessary before initiating human clinical trials aiming to modify 3-IAA levels in this setting. Furthermore, subsequent research in this field should probably focus on metastatic PDAC.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>Data are not deposited in a public repository due to data privacy regulations in Norway and lack of participant consent. However, data are available on request, if the aim of the analysis is covered by the consent signed by the participants, following an amendment to the ethics approval and a data transfer agreement. Requests to access the datasets should be directed to JH, <email xlink:href="mailto:j.e.r.hov@medisin.uio.no">j.e.r.hov@medisin.uio.no</email>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Regional Ethical Committee of Medical and Health Research Ethics Nord (ref 2017/1382) and Regional Ethical Committee of Medical and Health Research Ethics South-East (ref 2015/2140). 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>PB: Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. IF: Data curation, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. EK: Data curation, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SY: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AM: Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. PU: Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. KL: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JH: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, 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. The study and co-workers were funded by research grants from the Regional Health Authorities of South-Eastern Norway (no. 2018088, 2019029, 2023018) and the Norwegian Cancer Society (198039-2018), as well as by the strategic research area &#x201c;Personalized microbiota therapy in clinical medicine&#x201d; at Oslo University Hospital. JH is in part funded by a grant from the European Research Council (no. 802544).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Authors AM and PU were employed by the company BEVITAL AS.</p>
<p>The remaining 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>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2024.1488749/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2024.1488749/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.jpeg" id="SF1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Flow chart showing standard-of-care for this patient group and the timing of blood samples in the present study.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.jpeg" id="SF2" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>
<bold>(A&#x2013;C)</bold> Plots of baseline 3-IAA concentrations versus age, largest tumor diameter (by CT-scan) and CA19-9, all measured at baseline (before primary chemotherapy). The bivariate associations were tested using Pearson&#x2019;s (r) and Spearman&#x2019;s (&#x3c1;) correlation. The red lines show the linear regression fits with shaded 95% confidence intervals. <bold>(D)</bold> Distribution of pre-treatment 3-IAA by chemotherapy regimen (FOLFIRINOX versus all other). Statistical significance was tested using a Mann-Whitney U test. <bold>(E)</bold>. Distributions of 3-IAA before and after primary chemotherapy, with lines indicating changes from before to after. Statistical significance was tested using a paired Wilcoxon signed-rank test. 3-IAA, 3-indoleacetic acid; FFX, FOLFIRINOX.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image3.jpeg" id="SF3" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier survival curves for overall survival, censoring participants who underwent surgical resection at their times of surgery. Patients were categorized by their baseline 3-IAA concentration (quartiles). The number of patients at risk at the indicated time points is shown below the plot. The results from a univariable Cox model for log2(3-IAA) is shown as an inset. 3-IAA, indole 3-acetate; CI, confidence interval; HR, hazard ratio.</p>
</caption>
</supplementary-material>
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