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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2017.4032</article-id>
<article-id pub-id-type="publisher-id">ijo-51-02-0686</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Circulating regulatory T cell subsets predict overall survival of patients with unresectable pancreatic cancer</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Chen</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref><xref rid="fn1-ijo-51-02-0686" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Cheng</surname><given-names>He</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref><xref rid="fn1-ijo-51-02-0686" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname><given-names>Guopei</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref><xref rid="fn1-ijo-51-02-0686" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Lu</surname><given-names>Yu</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Jin</surname><given-names>Kaizhou</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Guo</surname><given-names>Meng</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Ni</surname><given-names>Quanxing</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname><given-names>Xianjun</given-names></name><xref rid="af1-ijo-51-02-0686" ref-type="aff">1</xref><xref rid="af2-ijo-51-02-0686" ref-type="aff">2</xref><xref rid="af3-ijo-51-02-0686" ref-type="aff">3</xref><xref ref-type="corresp" rid="c1-ijo-51-02-0686"/></contrib></contrib-group>
<aff id="af1-ijo-51-02-0686">
<label>1</label>Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032</aff>
<aff id="af2-ijo-51-02-0686">
<label>2</label>Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032</aff>
<aff id="af3-ijo-51-02-0686">
<label>3</label>Pancreatic Cancer Institute, Fudan University, Shanghai 200032, P.R. China</aff>
<author-notes>
<corresp id="c1-ijo-51-02-0686">Correspondence to: Professor Xianjun Yu, Department of Pancreatic Surgery, Shanghai Cancer Center, Fudan University, No. 270 Dong An Road, Shanghai 200032, P.R. China, E-mail: <email>yuxianjun@fudanpci.org</email></corresp><fn id="fn1-ijo-51-02-0686">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>08</month>
<year>2017</year></pub-date>
<pub-date pub-type="epub">
<day>07</day>
<month>06</month>
<year>2017</year></pub-date>
<volume>51</volume>
<issue>2</issue>
<fpage>686</fpage>
<lpage>694</lpage>
<history>
<date date-type="received">
<day>09</day>
<month>02</month>
<year>2017</year></date>
<date date-type="accepted">
<day>29</day>
<month>05</month>
<year>2017</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017, Spandidos Publications</copyright-statement>
<copyright-year>2017</copyright-year></permissions>
<abstract>
<p>Most patients with pancreatic ductal adenocarcinoma (PDAC) have unresectable cancers with a dismal prognosis, in which cohort chemotherapy is the primary treatment. T cell immune adaption is critical for tumor immune escape and prognosis of this disease. The present study aimed to determine the correlation between peripheral T cell subset distribution in patients with unresectable PDAC and their response to chemotherapy. Two hundred and twelve patients with unresectable PDAC were included whose blood samples were collected for analysis of T cell subsets, including CD3<sup>+</sup>, CD4<sup>+</sup>, CD8<sup>+</sup>, CD8<sup>+</sup>CD28<sup>+</sup> and CD4<sup>+</sup>CD25<sup>+</sup>CD127 T cells by flow cytometry before and after gemcitabine-based chemotherapy. Enzyme-linked immunosorbent assay was used to detect the expression levels of tumor growth factor (TGF)-&#x003B2;1, interleukin (IL)-6 and IL-17A in the patients before and after chemotherapy. Univariate and multivariate analyses found that an initial CD4/CD8 ratio or T regulatory (Treg) cell level before any treatment was associated with the prognosis of unresectable PDAC. After two cycles of chemotherapy, there was no significant change in percentages of T cell subsets, except elevation to a higher level of CD3<sup>+</sup> T cells. Decreased Tregs or CD4/CD8 ratio after two cycles of chemotherapy predicts a longer overall survival (OS). Levels of Tregs in stable disease (SD) and partial remission (PR) cases significantly decreased after chemotherapy, but increased in progressive disease (PD) patients. There was no correlation between Tregs and the expression level of either TGF-&#x003B2;1 or IL-6. IL-17A expression was elevated in Treg-decreased patients, whereas IL-17A was reduced in Treg-increased patients after chemotherapy. The circulating signature of T cell subsets can predict OS and chemotherapeutic response in patients with unresectable PDAC, and may be attributable to the plasticity of T cell subsets.</p></abstract>
<kwd-group>
<kwd>pancreatic cancer</kwd>
<kwd>chemotherapy</kwd>
<kwd>T cell subset</kwd>
<kwd>regulatory T cell</kwd>
<kwd>tumor microenvironment</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Even with the rapid development of surgical techniques and a broader understanding of oncology over the past few decades, pancreatic ductal adenocarcinoma (PDAC) remains at a 5-year survival rate of 5&#x02013;6% (<xref rid="b1-ijo-51-02-0686" ref-type="bibr">1</xref>,<xref rid="b2-ijo-51-02-0686" ref-type="bibr">2</xref>). Only approximately 15&#x02013;20% of patients with PDAC are suitable for surgical resection, which is the best possible treatment for good oncologic outcome (<xref rid="b1-ijo-51-02-0686" ref-type="bibr">1</xref>,<xref rid="b2-ijo-51-02-0686" ref-type="bibr">2</xref>). For most pancreatic cancers that are locally advanced or meta-static, the National Comprehensive Cancer Network (NCCN) recommends chemotherapy (<xref rid="b1-ijo-51-02-0686" ref-type="bibr">1</xref>&#x02013;<xref rid="b4-ijo-51-02-0686" ref-type="bibr">4</xref>). However, only a limited subgroup of these patients will really benefit from chemotherapy; instead, patients often have severe adverse events, and even a more progressive disease (<xref rid="b1-ijo-51-02-0686" ref-type="bibr">1</xref>&#x02013;<xref rid="b4-ijo-51-02-0686" ref-type="bibr">4</xref>). Therefore, it is necessary to select the patients with unresectable PDAC that could have a better prognosis or benefit from chemotherapy. Different tumor biological characteristics may contribute to better outcomes in this subgroup of patients. Unfortunately, there is still a lack of a simple and effective marker to identify these patients.</p>
<p>Generally, PDAC, especially advanced cases, is accompanied by obstruction of the pancreatic duct and varying degrees of chronic pancreatitis, which contribute to a unique tumor microenvironment comprising a specific network of multiple immune and inflammatory factors (<xref rid="b5-ijo-51-02-0686" ref-type="bibr">5</xref>,<xref rid="b6-ijo-51-02-0686" ref-type="bibr">6</xref>). It was reported that a dynamic imbalance involving CD4<sup>+</sup> T cells and CD8<sup>+</sup> T cells contributed to tumor immune escape and failure of immune surveillance during pancreatic tumorigenesis (<xref rid="b5-ijo-51-02-0686" ref-type="bibr">5</xref>&#x02013;<xref rid="b7-ijo-51-02-0686" ref-type="bibr">7</xref>). T regulatory (Treg) cells, one of the main subsets of CD4<sup>+</sup> T helper cells, were reported to be recruited by the pancreatic tumor microenvironment from a pre-invasive stage to invasive and metastatic PDAC and played a crucial role in immunosuppression (<xref rid="b6-ijo-51-02-0686" ref-type="bibr">6</xref>,<xref rid="b7-ijo-51-02-0686" ref-type="bibr">7</xref>). Previously, we found that peripheral Treg levels were significantly increased in patients with PDAC compared with that of healthy donors and patients with benign pancreatic disease; furthermore, for patients with PDAC who underwent a radical resection, the percentage of peripheral Tregs was regarded as an independent prognostic factor (<xref rid="b8-ijo-51-02-0686" ref-type="bibr">8</xref>). Although it has been widely confirmed that infiltrating immune cells in tumor tissue have prognostic values (<xref rid="b5-ijo-51-02-0686" ref-type="bibr">5</xref>&#x02013;<xref rid="b7-ijo-51-02-0686" ref-type="bibr">7</xref>), whether the systemic quantifiable immune parameters also have prognostic value is an interesting question. The authors consider that the data of circulating immune parameters are more widely available than the data of infiltrating immune cells. Thus, if the circulating immune parameters have prognostic value, the makers would be more convenient and accessible to monitor tumor progression. Therefore, the present study focused on circulatory immune cells to explore prognostic markers, based on retrospective analysis. In addition, tissue samples obtained through EUS-FNA in unresectable pancreatic cancer patiens are rare and limited and often insufficient for tumor microenvironment analysis. In the present study, although the results are not direct evidence, consideration should be given that PDCA caused the abnormal distribution of peripheral T lymphocyte subsets.</p>
<p>Chemotherapy is a primary treatment for advanced or metastatic PDAC; however, a new perspective has emerged that the cytotoxic effects of chemotherapy not only destroys tumor cells, but also impairs immune cells that subsequently damage the antitumor response and even promote tumor growth and metastasis (<xref rid="b9-ijo-51-02-0686" ref-type="bibr">9</xref>&#x02013;<xref rid="b11-ijo-51-02-0686" ref-type="bibr">11</xref>). In this study, we aimed to observe the alteration and distribution of peripheral T cell subsets in patients with unresectable PDAC, evaluate the effect of chemotherapy on T cell-related immune system, and discover some effective factors that could predict systemic chemotherapy response in patients with unresectable PDAC.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>The present study included all patients with unresectable pancreatic cancer who received treatment at our center during October 2010 to December 2015, including locally advanced and metastatic cases according to the American Joint Committee on Cancer (AJCC, 7th edition). These patients were diagnosed on the basis of pathology using biopsy samples obtained by endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA). Most of the patients (81.1%) underwent gemcitabine (gemcitabine at 1000 mg/m<sup>2</sup> over 30 min, weekly for 3 weeks every 28 days) or gemcitabine-based combination therapy according to NCCN Guidelines. This study was approved by the Clinical Research Ethics Committee of Shanghai Cancer Center of Fudan University, and written informed consent was provided by each patient. All clinicopathological data were retrieved from electronic records. Computed tomography (CT) was used to evaluate the treatment response every 2 months according to the guidelines of Response Evaluation Criteria in Solid Tumors (RECIST) 1.0. The primary endpoint of this study was overall survival (OS), which was measured by comparing the date of diagnosis to the date of death, and the last follow-up date was June 2016 with three patients still alive. The median survival of this cohort of patients is 7 months, with 5.8 months in stage IV patients and 9.2 months in locally advanced patients.</p></sec>
<sec>
<title>Blood sample collection and flow cytometry</title>
<p>Venous blood samples were obtained in heparinized tubes at admission before or after two-cycle chemotherapy, and the samples were immediately analyzed by flow cytometry. Monoclonal antibodies (eBiosciences) used to identify different T lymphocyte subsets were as follows: anti-CD3 FITC, anti-CD4 PE-Cy&#x02122;7, and anti-CD8 APC-Cy7. Anti-CD8 FITC and anti-CD28 PE were used to detect CD8<sup>+</sup>CD28<sup>+</sup> T cells. Anti-CD4 FITC, anti-CD25 PE and anti-CD127 APC were applied to identify Tregs. Statistical analyses involved at least 10,000 events gated on the population of interest. Detailed steps for the detection of different T lymphocyte subsets in blood samples are previously described (<xref rid="b8-ijo-51-02-0686" ref-type="bibr">8</xref>).</p></sec>
<sec>
<title>Enzyme-linked immunosorbent assay (ELISA)</title>
<p>Serum samples from patients were prospectively collected after centrifugation at 3,000 rpm for 10 min at 4&#x000B0;C. Then, the supernatants were divided and cryopreserved at &#x02212;80&#x000B0;C. The following parameters were measured: IL-17A was determined using the human IL-17A ELISA kit (eBioscience); IL-6 was determined using the human IL-6 ELISA kit (eBioscience); and TGF-&#x003B2;1 was determined using the human TGF-&#x003B2;1 ELISA kit (eBioscience). The measurements were performed according to the manufacturer's protocol. The results are expressed as pg/ml. In this study, 100 pairs (before and after two-cycle chemotherapy) of cryopreserved serum samples were available for analysis.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The SPSS version 16.0 statistical software package and the Graphpad Prism version 6.0 (GraphPad, Inc., San Diego, CA, USA) were used for statistical analysis. Overall survival curves were compared using the log-rank test. Univariate and multivariate analyses were used to examine potentially independent prognostic factors. Student's t-test was used for continuous variables between two groups. Differences with a P-value (two-sided) of &lt;0.05 were considered to be statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>The patient clinicopathological characteristics</title>
<p>Two hundred and twelve patients with unresectable PDAC were included in this study, including 76 locally advanced and 136 metastatic cases, with a median age of 61 years (range, 33&#x02013;82 years). Among this cohort of patients, 172 (81.1%) patients underwent gemcitabine-based chemotherapy, and another 40 (18.9%) patients received only palliative or best supportive care. We detected peripheral T cell subsets in all 212 patients before any treatment and monitored the alteration in T cell subsets in 100 patients who underwent two cycles of chemotherapy. The patient characteristics are summarized in <xref rid="tI-ijo-51-02-0686" ref-type="table">Table I</xref>.</p></sec>
<sec>
<title>The status of peripheral T cell subsets predicts overall survival in patients with unresectable pancreatic cancer before treatment</title>
<p>In univariate and multivariate analyses of clinicopathological parameters for pancreatic cancer, we found that the serum level of CA19-9, performance status (PS), TNM stage, and chemotherapy or no chemotherapy were independent prognostic factors for unresectable PDAC. For circulating T cell subsets, an initial CD4/CD8 ratio or Treg level before any treatment was associated with the prognosis of locally advanced and metastatic disease (<xref rid="tII-ijo-51-02-0686" ref-type="table">Table II</xref> and <xref rid="f1-ijo-51-02-0686" ref-type="fig">Fig. 1</xref>).</p></sec>
<sec>
<title>Alteration in peripheral T cell subsets predicts chemotherapeutic response in patients with unresectable pancreatic cancer</title>
<p>After two cycles of chemotherapy, we detected the peripheral T cell subsets to observe the effect of chemotherapy on T cell immune response, and found that there was no significant change in percentages of CD3<sup>+</sup>CD4<sup>+</sup> T cells, CD3<sup>+</sup>CD8<sup>+</sup> T cells, CD4/CD8 ratio, CD8<sup>+</sup>CD28<sup>+</sup> T cells, and Treg cells, whereas an elevated level of CD3<sup>+</sup> T cells was observed (P=0.035) (<xref rid="f2-ijo-51-02-0686" ref-type="fig">Fig. 2</xref> and <xref rid="tIII-ijo-51-02-0686" ref-type="table">Table III</xref>). Remarkably, decreased Tregs or CD4/CD8 ratio after two cycles of chemotherapy predicts a longer overall survival in patients with unresectable PDAC (Tregs: P=0.006; CD4/CD8 ratio: P=0.037; <xref rid="f3-ijo-51-02-0686" ref-type="fig">Fig. 3</xref>). Furthermore, circulating Treg levels in stable disease (SD) and partial remission (PR) cases significantly decreased after chemotherapy (P=0.030; <xref rid="f4-ijo-51-02-0686" ref-type="fig">Fig. 4</xref>), whereas circulating Treg levels increased in progressive disease (PD) patients (P=0.006; <xref rid="f4-ijo-51-02-0686" ref-type="fig">Fig. 4</xref>). However, no statistical significance was found in the cohorts concerning CD4/CD8 ratio (<xref rid="f4-ijo-51-02-0686" ref-type="fig">Fig. 4</xref>).</p></sec>
<sec>
<title>Peripheral IL-17A expression is negatively associated with Tregs in unresectable pancreatic cancer patients treated with chemotherapy</title>
<p>We detected peripheral expression of several cytokines relevant to Treg differentiation, including TGF-&#x003B2;1, IL-6 and IL-17A in patients with unresectable PDAC before and after two cycles of chemotherapy, and we found that there was no correlation between Tregs and the expression of either TGF-&#x003B2;1 or IL-6 (<xref rid="f5-ijo-51-02-0686" ref-type="fig">Fig. 5</xref>). However, peripheral IL-17A expression exhibited a negative correlation with Treg level in patients treated with chemotherapy. IL-17A expression was significantly elevated in Treg-decreased patients (P=0.001; <xref rid="f6-ijo-51-02-0686" ref-type="fig">Fig. 6</xref>), whereas IL-17A level was reduced in Treg-increased patients after chemotherapy (P=0.030; <xref rid="f6-ijo-51-02-0686" ref-type="fig">Fig. 6</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>PDAC contains abundant stroma elements surrounding cancer cells, and thereby has a unique biologic profile including chemotherapy resistance and poor prognosis (<xref rid="b12-ijo-51-02-0686" ref-type="bibr">12</xref>). The PDAC specific tumor microenvironment lacks oxygen and blood supply, which contributes to metabolic reprogramming and immune cell adaptation (<xref rid="b12-ijo-51-02-0686" ref-type="bibr">12</xref>&#x02013;<xref rid="b14-ijo-51-02-0686" ref-type="bibr">14</xref>). Emerging evidence demonstrates that tumor infiltrating T cells such as Tregs, CD8<sup>+</sup> T cells and Th17 cells were associated with prognosis in various human cancers (<xref rid="b15-ijo-51-02-0686" ref-type="bibr">15</xref>,<xref rid="b16-ijo-51-02-0686" ref-type="bibr">16</xref>). In a previous study, we investigated the expression of tumor infiltrating cells within the specimens of resected pancreatic cancer and found that more infiltration of CD4<sup>+</sup> and CD8<sup>+</sup> T lymphocytes indicated a better prognosis after surgical resection; in contrast, the primary immunosuppressive factor Tregs and other T helper cell subsets could hardly be detected in PDAC tissues (<xref rid="b16-ijo-51-02-0686" ref-type="bibr">16</xref>). In the present study, the percentage of peripheral Tregs and CD4/CD8 ratio before treatment was associated with overall survival of patients, exhibiting a circulating T lymphocyte signature in patients with advanced PDAC cases; thus, this may serve as an effective marker for the prognosis of this subgroup of patients before any treatment is done.</p>
<p>Because of the unique tumor microenvironment of PDAC, contributed to by a consistent deprivation of oxygen and nutrients, there will be a persistence of endoplasmic reticulum (ER) stress, which is a mechanism of cell self-protection within the tumor microenvironment of PDAC (<xref rid="b17-ijo-51-02-0686" ref-type="bibr">17</xref>,<xref rid="b18-ijo-51-02-0686" ref-type="bibr">18</xref>). Given that certain chemotherapeutic agents were also stress inducers, there existed a sustained stress status and subsequent tumor metabolism reprogramming in advanced PDAC (<xref rid="b19-ijo-51-02-0686" ref-type="bibr">19</xref>&#x02013;<xref rid="b21-ijo-51-02-0686" ref-type="bibr">21</xref>). Prolonged ER stress promotes cell apoptosis, but, conversely, might induce cancer cells to acquire more aggressive biologic features to resist chemotherapeutic attack; furthermore, the percentage and types of immune cells recruited by the tumor microenvironment also adapted accordingly (<xref rid="b13-ijo-51-02-0686" ref-type="bibr">13</xref>,<xref rid="b14-ijo-51-02-0686" ref-type="bibr">14</xref>,<xref rid="b19-ijo-51-02-0686" ref-type="bibr">19</xref>&#x02013;<xref rid="b21-ijo-51-02-0686" ref-type="bibr">21</xref>). In particular, T cell dysfunction owing to nutrient deprivation and tumor metabolism alteration was regarded as a major issue of concern in antitumor immune response (<xref rid="b22-ijo-51-02-0686" ref-type="bibr">22</xref>,<xref rid="b23-ijo-51-02-0686" ref-type="bibr">23</xref>). Immune responses to malignant cells can be categorized as locoregional or systemic. <italic>In situ</italic>, the immune contexture would be essential to accurately define the impact of the local host-immune reaction in tumor (<xref rid="b24-ijo-51-02-0686" ref-type="bibr">24</xref>). It has been well reported that the infiltrating immune cells, in tumor site, play important roles in tumor progression. Unfortunately, in most of the patients with unresectable PDAC, a sufficient amount of tumor tissues to detect intratumoral infiltration of immune cells is difficult to obtain, especially for monitoring chemotherapy-related immune status. Systemic immunity to tumors, as measured in the peripheral circulation, is difficult to demonstrate and tumor-specific responses are particularly elusive. The role of systemic immunity in tumor progression deserves further study. The available evidence suggests that both local and systemic antitumor immunity is compromised in patients with cancer. Many researchers have investigated the correlation of circulating immune cells and tumor infiltrating lymphocytes (TIL) in regard to distribution and function characterization. Circulating T cells obtained from patients with cancer are either biased in cytokine profile or otherwise functionally compromised. Furthermore, dysfunction in circulating lymphocytes was linked to the extent of dysfunction seen in paired TIL and to the disease stage and/or activity (<xref rid="b25-ijo-51-02-0686" ref-type="bibr">25</xref>,<xref rid="b26-ijo-51-02-0686" ref-type="bibr">26</xref>). It remains controversial whether systemic chemotherapy impairs the immune system. A limited number of patients with pancreatic cancer exhibited a favorable response to systemic chemotherapy, and only limited available options including gemcitabine-based or fluoropyrimidine-based regimens were recommended (<xref rid="b9-ijo-51-02-0686" ref-type="bibr">9</xref>,<xref rid="b27-ijo-51-02-0686" ref-type="bibr">27</xref>). Accordingly, the balance between benefit and risk of chemotherapy in advanced PDAC should be well evaluated. Therefore, if the circulating immune parameters have prognostic value, the markers would be more convenient and accessible to monitor tumor progression. In the present study, the changes in circulating Tregs and CD4<sup>+</sup>/CD8<sup>+</sup> T cell ratio before and after chemotherapy discriminate the populations that benefit from chemotherapy, to some extent, and show the divergence in adaption of T cell immune status responsive to systemic chemotherapy in patients with high PDAC tumor burden. Furthermore, decreased Tregs was detected more in PR and SD cases. Moreover, the increased amount of immunosuppressive T cells found in PD cases also indicated that PDAC response to chemotherapy was associated with immune adaption of T cell subsets following a local or systemic stress response or metabolism reprogramming.</p>
<p>The chemotherapeutic agent is a two-edged sword having both immune suppressing and promoting effects. CD3<sup>+</sup> T cells contain various T cell subsets, such as CD4<sup>+</sup> T cells, CD8<sup>+</sup> T cells and Tregs. Although our results found that the percentage of CD3<sup>+</sup> T cells increased after two cycles of chemotherapy, suggesting chemotherapy does not lead to total T cell ratio decrease, the change of other T cell subsets need to be further verified. It was shown that some chemo-agents could induce T-cell infiltration into pancreatic cancer. Tsuchikawa <italic>et al</italic> (<xref rid="b28-ijo-51-02-0686" ref-type="bibr">28</xref>) reported that Foxp3<sup>+</sup> T cell infiltration was significantly lower in the neoadjuvant chemoradiation therapy cases, while the numbers of CD4<sup>+</sup> and CD8<sup>+</sup> T cell infiltration had no statistical difference in the tumor microenvironment. Other studies found that CD4<sup>+</sup> and CD8<sup>+</sup> T cells were significantly increased after neoadjuvant chemotherapy (<xref rid="b29-ijo-51-02-0686" ref-type="bibr">29</xref>). However, for circulating T cells, although it was reported that circulating CD4<sup>+</sup> and CD8<sup>+</sup> T cells were changed after chemotherapy in other cancers such as breast (<xref rid="b30-ijo-51-02-0686" ref-type="bibr">30</xref>) and cervical cancer patients (<xref rid="b31-ijo-51-02-0686" ref-type="bibr">31</xref>), the relationship between circulating T cells and chemotherapy was still unclear in pancreatic cancer. In the present study, gemcitabine-based chemotherapy did not exhibit an obviously impaired effect on human T cell immune system, but underlined some insights that high tumor burden PDAC and continued chemotherapy could result in differentiation of T cell subsets.</p>
<p>The change of T cell proportion may be altered by the chemotherapy or by the shrinkage of the tumor. Many studies reported that chemotherapy agents could change tumor microenvironment through various mechanisms, such as increasing lymphocyte infiltration, depletion of Tregs and inducing differentiation of MDSC (<xref rid="b32-ijo-51-02-0686" ref-type="bibr">32</xref>). However, for the circulating lymphocytes, it was still unclear. It was reported that low Treg percentage in circulation at 1 year after pancreatic cancer resection was correlated with improved survival (<xref rid="b33-ijo-51-02-0686" ref-type="bibr">33</xref>). We also previously reported that high Treg percentage in circulation predicts poor prognosis in resectable pancreatic cancer patients (<xref rid="b8-ijo-51-02-0686" ref-type="bibr">8</xref>). We consider that circulating lymphocyte levels are features of immune status in pancreatic cancer patients. Our data showed that Treg cells decreased after chemotherapy in SD+PR patients (N=59), while increased in PD patients (N=41), suggested that patients with good immune status during the period of chemotherapy, which may be caused by the shrinkage of tumor, are correlated with prognosis. Metabolic features of a hypoxic microenvironment, including glycolysis and Warburg effect, might not only enable cancer cells to develop different biological properties, but may also influence T cell function and T cell differentiation (<xref rid="b34-ijo-51-02-0686" ref-type="bibr">34</xref>&#x02013;<xref rid="b36-ijo-51-02-0686" ref-type="bibr">36</xref>). Several transcription factors and signaling pathways, such as HIF-1&#x003B1;, PD-1 and mTOR signaling are involved in T cell immune adaptation and differentiation (<xref rid="b37-ijo-51-02-0686" ref-type="bibr">37</xref>). Hypoxia and nutrient deprivation contribute to accumulation of metabolic products and then suppress CD8<sup>+</sup> T effector cells and CD4<sup>+</sup> Th1, Th2 and Th17 subsets, whereas they induce immunosuppressive Treg lineage (<xref rid="b38-ijo-51-02-0686" ref-type="bibr">38</xref>,<xref rid="b39-ijo-51-02-0686" ref-type="bibr">39</xref>). Generally, the percentage of tumor infiltrating CD4<sup>+</sup> T cells and CD8<sup>+</sup> effector T cells indicates a different prognostic value in cancer (<xref rid="b40-ijo-51-02-0686" ref-type="bibr">40</xref>). For CD4<sup>+</sup> T cell subsets, the plasticity between regulatory T cells and Th17 lineage of T helper cells has been widely studied recently (<xref rid="b41-ijo-51-02-0686" ref-type="bibr">41</xref>,<xref rid="b42-ijo-51-02-0686" ref-type="bibr">42</xref>). Although Tregs always accompany poor clinical outcomes, Th17 exhibits some inconsistent prognostic significance in various human cancers (<xref rid="b43-ijo-51-02-0686" ref-type="bibr">43</xref>,<xref rid="b44-ijo-51-02-0686" ref-type="bibr">44</xref>). Tregs are reported at elevated frequencies in the peripheral blood and the tumor itself, and correlates with poor outcome. It was reported that Tregs can suppress immune cell activity and induce tumor cell escape from immune surveillance via secreting several cytokines. In addition, it was shown that Tregs complexed with STAT3, a transcription factor that is essential for the differentiation of Th17 cells, then activate IL-17 gene transcription to promote Th17 cell differentiation (<xref rid="b45-ijo-51-02-0686" ref-type="bibr">45</xref>,<xref rid="b46-ijo-51-02-0686" ref-type="bibr">46</xref>). Tregs and Th17 cells are inversely associated in the same tumors, and there is a dynamic interaction between Th17 and Tregs in the tumor microenvironment. The balance of Tregs/Th17 contributed to the shift between pro-inflammatory and anti-inflammatory response and somewhat indicates the prognosis of human cancer (<xref rid="b47-ijo-51-02-0686" ref-type="bibr">47</xref>,<xref rid="b48-ijo-51-02-0686" ref-type="bibr">48</xref>). It was reported that IL17<sup>+</sup>FOXP3<sup>+</sup> T cells can be detected in tumors, which also express CD25 and TH17 specific marker ROR&#x003B3;t and have suppressive functions. Moreover, Treg cells can transdifferentiate towards an IL-17<sup>+</sup>FOXP3<sup>+</sup> T phenotype and eventually into FOXP3-TH17 cells (<xref rid="b49-ijo-51-02-0686" ref-type="bibr">49</xref>,<xref rid="b50-ijo-51-02-0686" ref-type="bibr">50</xref>). In the study, we detected several cytokines involved with the transdifferentiation between Tregs and T helper cell subsets in advanced PDAC cases. In addition, we found that the expression of IL-17A, which is characterized by the secretion of Th17, was significantly elevated in the cases whose Treg level was decreased, indicating the possibility that a shift from Tregs to Th17 might be responsible for the sensitivity to chemotherapy in patients with unresectable PDAC.</p>
<p>The present study included locally advanced and meta-static cases of PDAC, the basic characteristics in our group were similar with other studies (<xref rid="b3-ijo-51-02-0686" ref-type="bibr">3</xref>,<xref rid="b51-ijo-51-02-0686" ref-type="bibr">51</xref>). In addition, we also identified an initial CD4/CD8 ratio or Treg level before any treatment was associated with the prognosis via multivariate analyses. Therefore, we concluded the significant difference is valuable. As limitation in the present study, we found that the change of proportion in CD3 positive cells had statistical significance (P=0.035), while the main subsets of CD3<sup>+</sup> cells such as CD4<sup>+</sup>, CD8<sup>+</sup> and Treg cells remain stable after chemotherapy. However, we did not detect other T cell subsets (Th1, Th2 or Th17), which might change after chemotherapy. These results need to be further identified via expanding sample sizes and detecting more subsets of immune cells. In addition, we also found that there was no correlation between Tregs and the expression level of either IL-2 or IL-10 (data not shown), while other cytokines such as IFN-&#x003B3; and IL-5, which may be associated with helper T cell subsets or Tregs, were not detected. We will continue to collect samples to validate these results and explore potential mechanisms in future.</p>
<p>Overall, the present study shows a circulating signature of T cell subsets that could predict the prognosis of patients with unresectable PDAC before treatment. This finding could also predict the response to gemcitabine-based chemotherapy, which could be contributed to by the plasticity of T cell subsets and their capacity to differentiate from one subset toward another lineage, depending on a high tumor burden PDAC setting or chemotherapy-related metabolic changes.</p></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The present study is supported by grants from the National Natural Science Foundation of China (nos. 81370065, 81372653 and SINO-GERMAN GZ857), and the Basic Research Projects of the Science and Technology Commission of Shanghai Municipality (15JC1401200).</p></ack>
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<floats-group>
<fig id="f1-ijo-51-02-0686" position="float">
<label>Figure 1</label>
<caption>
<p>Kaplan-Meier analyses of the overall survival difference in patients with unresectable pancreatic cancer. Groups were compared by univariate analysis. The cut-off point for T cell subsets was determined using ROC curves.</p></caption>
<graphic xlink:href="IJO-51-02-0686-g00.tif"/></fig>
<fig id="f2-ijo-51-02-0686" position="float">
<label>Figure 2</label>
<caption>
<p>Distribution of peripheral T cell subsets in patients with unresectable pancreatic cancer before and after chemotherapy. Pre, pre-chemotherapy; Post, post-chemotherapy.</p></caption>
<graphic xlink:href="IJO-51-02-0686-g01.tif"/></fig>
<fig id="f3-ijo-51-02-0686" position="float">
<label>Figure 3</label>
<caption>
<p>Kaplan-Meier survival curves according to Tregs and CD4/CD8 ratio changes after two cycles of gemcitabine-based chemotherapy.</p></caption>
<graphic xlink:href="IJO-51-02-0686-g02.tif"/></fig>
<fig id="f4-ijo-51-02-0686" position="float">
<label>Figure 4</label>
<caption>
<p>Changes in peripheral CD4/CD8 ratio and Tregs in 100 patients with unresectable pancreatic cancer after two cycles of gemcitabine-based chemotherapy. PR, partial remission; SD, stable disease; PD, progression disease. Pre, pre-chemotherapy; Post, post-chemotherapy.</p></caption>
<graphic xlink:href="IJO-51-02-0686-g03.tif"/></fig>
<fig id="f5-ijo-51-02-0686" position="float">
<label>Figure 5</label>
<caption>
<p>(A and D) Changes in the expression level of IL-6 and TGF-&#x003B2;1 in 100 patients with unresectable pancreatic cancer after two cycles of chemotherapy; (B and E) Change in the expression level of IL-6 and TGF-&#x003B2;1 in Treg-decreased group (N=47); (C and F) Change in the expression level of IL-6 and TGF-&#x003B2;1 in Treg-increased group (N=53). NS, no significance. Pre, pre-chemotherapy; Post, post-chemotherapy.</p></caption>
<graphic xlink:href="IJO-51-02-0686-g04.tif"/></fig>
<fig id="f6-ijo-51-02-0686" position="float">
<label>Figure 6</label>
<caption>
<p>(A) Changes in the expression level of IL-17A in 100 patients with unresectable pancreatic cancer after two cycles of chemotherapy; (B) changes in the expression of IL-17A in the Treg-decreased group (N=47); (C) changes in the expression of IL-17A in Treg-increased group (N=53). Pre, pre-chemotherapy; Post, post-chemotherapy.</p></caption>
<graphic xlink:href="IJO-51-02-0686-g05.tif"/></fig>
<table-wrap id="tI-ijo-51-02-0686" position="float">
<label>Table I</label>
<caption>
<p>Clinicopathological parameters of patients with unresectable pancreatic cancer (N=212).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Parameters</th>
<th valign="top" align="center">N (%)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years) (median, 61; range, 33&#x02013;82)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;60</td>
<td valign="top" align="center">&#x000A0;&#x000A0;90 (42.5)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265;60</td>
<td valign="top" align="center">122 (57.5)</td></tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Male</td>
<td valign="top" align="center">133 (62.7)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Female</td>
<td valign="top" align="center">&#x000A0;&#x000A0;79 (37.3)</td></tr>
<tr>
<td valign="top" align="left">PS</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;90&#x02013;100</td>
<td valign="top" align="center">&#x000A0;&#x000A0;78 (36.8)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;70&#x02013;80</td>
<td valign="top" align="center">134 (63.2)</td></tr>
<tr>
<td valign="top" align="left">Tumor location</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Body and tail</td>
<td valign="top" align="center">&#x000A0;&#x000A0;94 (44.3)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Head</td>
<td valign="top" align="center">118 (55.7)</td></tr>
<tr>
<td valign="top" align="left">TNM stage</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;III</td>
<td valign="top" align="center">&#x000A0;&#x000A0;76 (35.8)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;IV</td>
<td valign="top" align="center">136 (64.2)</td></tr>
<tr>
<td valign="top" align="left">CA19-9 levels (U/ml) (median, 301.3; range, 0.68&#x02013;&gt;1000 U/ml)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;301.3</td>
<td valign="top" align="center">106 (50)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265;301.3</td>
<td valign="top" align="center">106 (50)</td></tr>
<tr>
<td valign="top" align="left">CA125 levels (U/ml)</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;35</td>
<td valign="top" align="center">101 (47.6)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&#x02265;35</td>
<td valign="top" align="center">111 (52.4)</td></tr>
<tr>
<td valign="top" align="left">Chemotherapy</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes</td>
<td valign="top" align="center">172 (81.1)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;No</td>
<td valign="top" align="center">&#x000A0;&#x000A0;40 (18.9)</td></tr>
<tr>
<td valign="top" align="left">Survival status</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Alive</td>
<td valign="top" align="center">3 (1.4)</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Dead</td>
<td valign="top" align="center">209 (98.6)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-51-02-0686">
<p>PS, performance status.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijo-51-02-0686" position="float">
<label>Table II</label>
<caption>
<p>Univariate and multivariate analyses of clinicopathological parameters for the prediction of overall survival in patients with unresectable pancreatic cancer (N=212).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left"/>
<th colspan="2" valign="bottom" align="center">Univariate analyses
<hr/></th>
<th colspan="2" valign="bottom" align="center">Multivariate analyses
<hr/></th></tr>
<tr>
<th valign="bottom" align="left">Parameters</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">HR (95% CI)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">0.844</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.899</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;60 vs. &#x02265;60</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x02013;</td></tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">0.405</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.229</td>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;Male vs. female</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x02013;</td></tr>
<tr>
<td valign="top" align="left">PS</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.645</td>
<td valign="top" align="center">0.041</td>
<td valign="top" align="center">0.722</td></tr>
<tr>
<td valign="top" align="left">&#x02003;(90&#x02013;100) vs. (70&#x02013;80)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.482&#x02013;0.862)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.544&#x02013;0.987)</td></tr>
<tr>
<td valign="top" align="left">TNM stage</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.603</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.61</td></tr>
<tr>
<td valign="top" align="left">&#x02003;III vs. IV</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.453&#x02013;0.804)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.448&#x02013;0.83)</td></tr>
<tr>
<td valign="top" align="left">CA19-9 level (U/ml)</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.718</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.69</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;301.3 vs. &#x02265;301.3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.545&#x02013;0.945)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.52&#x02013;0.916)</td></tr>
<tr>
<td valign="top" align="left">CA125 level (U/ml)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.598</td>
<td valign="top" align="center">0.082</td>
<td valign="top" align="center">&#x02013;</td></tr>
<tr>
<td valign="top" align="left">&#x02003;&lt;35 vs. &#x02265;35</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.453&#x02013;0.789)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Chemotherapy</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.428</td></tr>
<tr>
<td valign="top" align="left">&#x02003;Yes vs. no</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.299&#x02013;0.614)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(0.292&#x02013;0.627)</td></tr>
<tr>
<td valign="top" align="left">CD3<sup>+</sup> T cells</td>
<td valign="top" align="center">0.144</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;High vs. low (132/80)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup> T cells</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;High vs. low (124/88)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup> T cells</td>
<td valign="top" align="center">0.527</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;High vs. low (114/98)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup>CD28<sup>+</sup> T cells</td>
<td valign="top" align="center">0.126</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">&#x02003;High vs. low (181/28)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">Tregs (CD4<sup>+</sup>CD25<sup>+</sup>CD127<sup>&#x02212;</sup>)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">1.656</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center">1.567</td></tr>
<tr>
<td valign="top" align="left">&#x02003;High vs. low (41/171)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(1.169&#x02013;2.347)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(1.09&#x02013;2.257)</td></tr>
<tr>
<td valign="top" align="left">CD4/CD8 ratio</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">1.379</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center">1.374</td></tr>
<tr>
<td valign="top" align="left">&#x02003;High vs. low (83/129)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(1.043&#x02013;1.828)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">(1.021&#x02013;1.835)</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijo-51-02-0686">
<p>HR, hazard ratio; 95% CI, 95% confidence interval.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-ijo-51-02-0686" position="float">
<label>Table III</label>
<caption>
<p>Analysis of peripheral T cell subsets in pancreatic cancer patients before or after chemotherapy.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" rowspan="2" align="left">Parameters</th>
<th colspan="2" valign="bottom" align="center">Percentages (%) (means &#x000B1; SD)
<hr/></th>
<th valign="bottom" rowspan="2" align="left">P-value</th></tr>
<tr>
<th valign="top" align="center">Before chemotherapy (N=212)</th>
<th valign="top" align="center">After chemotherapy (N=100)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">CD3<sup>+</sup></td>
<td valign="top" align="center">65.34&#x000B1;10.84</td>
<td valign="top" align="center">67.99&#x000B1;9.06</td>
<td valign="top" align="left">0.035</td></tr>
<tr>
<td valign="top" align="left">CD3<sup>+</sup>CD4<sup>+</sup></td>
<td valign="top" align="center">38.58&#x000B1;8.8</td>
<td valign="top" align="center">39.34&#x000B1;9.16</td>
<td valign="top" align="left">0.483</td></tr>
<tr>
<td valign="top" align="left">CD3<sup>+</sup>CD8<sup>+</sup></td>
<td valign="top" align="center">22.73&#x000B1;9.33</td>
<td valign="top" align="center">23.5&#x000B1;9.3</td>
<td valign="top" align="left">0.5</td></tr>
<tr>
<td valign="top" align="left">CD4/CD8 ratio</td>
<td valign="top" align="center">1.92&#x000B1;0.98</td>
<td valign="top" align="center">2.06&#x000B1;1.13</td>
<td valign="top" align="left">0.263</td></tr>
<tr>
<td valign="top" align="left">CD8<sup>+</sup>CD28<sup>+</sup></td>
<td valign="top" align="center">9.7&#x000B1;4.01</td>
<td valign="top" align="center">10.56&#x000B1;4.41</td>
<td valign="top" align="left">0.086</td></tr>
<tr>
<td valign="top" align="left">CD4<sup>+</sup>CD25<sup>+</sup>CD127<sup>&#x02212;</sup></td>
<td valign="top" align="center">8.99&#x000B1;3.13</td>
<td valign="top" align="center">9.17&#x000B1;3.31</td>
<td valign="top" align="left">0.659</td></tr></tbody></table></table-wrap></floats-group></article>
