AUTHOR=Zhao HanZheng , Chen Xingyu , Zhang WenHui , Cheng Die , Lu Yanjie , Wang Cheng , Li JunHu , You LiuPing , Yu JiaYong , Guo WenLong , Li YuHong , Huang YueNan 

TITLE=Pan-immune-inflammation value is associated with the clinical stage of colorectal cancer

JOURNAL=Frontiers in Surgery

VOLUME=9

YEAR=2022

URL=https://www.frontiersin.org/journals/surgery/articles/10.3389/fsurg.2022.996844

DOI=10.3389/fsurg.2022.996844

ISSN=2296-875X

ABSTRACT=<sec><title>Objective</title><p>We investigated the clinical significance of preoperative pan-immune-inflammation value (PIV) in patients with colorectal cancer (CRC).</p></sec><sec><title>Methods</title><p>In this retrospective study, 366 cases who underwent surgery for CRC were enrolled. Their clinical data were collected. PIV was calculated with the formula PIV = [neutrophil count (10<sup>9</sup>/L)× platelet count (10<sup>9</sup>/L) × monocyte count (10<sup>9</sup>/L) /lymphocyte count (10<sup>9</sup>/L). Patients were divided into high PIV (&gt; median PIV) and low PIV (&lt; median PIV) groups. The relationship between PIV and clinicopathological features of CRC was investigated. Receiver operating characteristic (ROC) curve was plotted to indicate the value of immune-inflammatory biomarkers (IIBs) in predicting the TNM stage of CRC, and the area under the curve (AUC) was calculated to evaluate the actual clinical value of IIBs. AUC &gt; 0.5 and closer to 1 indicated the better predictive efficacy. The influencing factors of PIV in CRC were analyzed.</p></sec><sec><title>Results</title><p>We found that PIV was positively correlated with tumor size (<italic>r</italic> = 0.300, <italic>p</italic> &lt; 0.05), carcinoembryonic antigen (CEA) (<italic>r</italic> = 0.214, <italic>p</italic> &lt; 0.05) and carbohydrate antigen 125 (CA-125) (<italic>r</italic> = 0.249, <italic>p</italic> &lt; 0.05), but negatively correlated with albumin (Alb) (<italic>r</italic> = −0.242, <italic>p</italic> &lt; 0.05). PIV was significantly different in patients with different tumor locations (left or right), surgical methods (laparotomy versus laparoscopic surgery) (<italic>p</italic> &lt; 0.05), and patients with different pathological T stages, N-stage and TNM stages (<italic>p</italic> &lt; 0.05). ROC curve analysis of IIBs showed the AUC of PIV was greater than other markers when combined with CEA or carbohydrate antigen 19–9 (CA19–9). Multivariate regression analysis identified T stage, CEA, Alb, and tumor size as the independent influential factors of PIV in CRC.</p></sec><sec><title>Conclusion</title><p>PIV is associated with the tumor stage in patients with CRC, which may be useful in preoperative assessment of CRC.</p></sec>