scholarly journals Preoperative serum carbohydrate antigen 19-9 levels predict early recurrence after the resection of early-stage pancreatic ductal adenocarcinoma

2021 ◽  
Vol 13 (11) ◽  
pp. 1423-1435
Author(s):  
Sarang Hong ◽  
Ki Byung Song ◽  
Dae Wook Hwang ◽  
Jae Hoon Lee ◽  
Woohyung Lee ◽  
...  
2019 ◽  
Author(s):  
Hironobu Suto ◽  
Keiichi Okano ◽  
Minoru Oshima ◽  
Yasuhisa Ando ◽  
Shigeo Takahashi ◽  
...  

Abstract Background The perioperative factors predicting or influencing early pancreatic ductal adenocarcinoma (PDAC) recurrence are unclear. This study attempted to identify the predictive factors for early PDAC recurrence post-pancreatectomy and the influence of pre- and post- operative adjuvant therapy. Methods One hundred and fifteen patients undergoing curative resection for PDAC between 2000 and 2016 at our institution were retrospectively analyzed. Patients were divided into two groups: those who did and did not experience PDAC recurrence within 6 months postoperatively. Results Thirty-four (30%) patients experienced early recurrence. Multivariate analyses demonstrated postoperative carbohydrate antigen 19-9 (CA19-9) de-normalization, no postoperative adjuvant chemotherapy (ACT), and serosal invasion were independent risk factors for early recurrence (P<0.001, P=0.001, and P=0.010, respectively). A subgroup analysis showed patients with (n=51) and without (n=64) preoperative chemoradiotherapy (CRT) had different predictors. Although postoperative ACT was not a significant indicator in patients with preoperative CRT, CA19-9 de-normalization and no postoperative ACT were significant indicators in patients without preoperative CRT. Preoperative CRT strongly prevented early local recurrence while postoperative ACT prevented early distant recurrence. Conclusions CA19-9 de-normalization was an important predictor of early recurrence of PDAC. Although postoperative ACT was an important preventive measure against early recurrence, particularly for distant recurrence, preoperative CRT might compensate for a lack of postoperative ACT. Preoperative CRT could strongly prevent the early local recurrence of PDAC. These perioperative adjuvant therapies could have a complementary relationship.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Seoung Yoon Rho ◽  
Sang-Guk Lee ◽  
Minsu Park ◽  
Jinae Lee ◽  
Sung Hwan Lee ◽  
...  

AbstractWe investigated the potential application of preoperative serum metabolomes in predicting recurrence in patients with resected pancreatic cancer. From November 2012 to June 2014, patients who underwent potentially curative pancreatectomy for pancreatic ductal adenocarcinoma were examined. Among 57 patients, 32 were men; 42 had pancreatic head cancers. The 57 patients could be clearly categorized into two main clusters using 178 preoperative serum metabolomes. Patients within cluster 2 showed earlier tumor recurrence, compared with those within cluster 1 (p = 0.034). A nomogram was developed for predicting the probability of early disease-free survival in patients with resected pancreatic cancer. Preoperative cancer antigen (CA) 19–9 levels and serum metabolomes PC.aa.C38_4, PC.ae.C42_5, and PC.ae.C38_6 were the most powerful preoperative clinical variables with which to predict 6-month and 1-year cancer recurrence-free survival after radical pancreatectomy, with a Harrell’s concordance index of 0.823 (95% CI: 0.750–0.891) and integrated area under the curve of 0.816 (95% CI: 0.736–0.893). Patients with resected pancreatic cancer could be categorized according to their different metabolomes to predict early cancer recurrence. Preoperative detectable parameters, serum CA 19–9, PC.aa.C38_4, PC.ae.C42_5, and PC.ae.C38_6 were the most powerful predictors of early recurrence of pancreatic cancer.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8811
Author(s):  
Ankang Wang ◽  
Bo Sun ◽  
Min Wang ◽  
Hao Shi ◽  
Zhiwei Huang ◽  
...  

Background The preoperative controlling nutritional status (CONUT) score and serum carbohydrate antigen 199 (CA199) levels are individually correlated with the prognosis of pancreatic ductal adenocarcinoma (PDAC). The objective of this study aimed to investigate the efficacy of CONUT score and CA199 (CONUT-CA199) combination in predicting the prognosis of PDAC patients undergoing radical surgery. Methods We retrospectively analyzed the preoperative CONUT scores and serum CA199 levels of 294 patients with PDAC who underwent radical resection at the Affiliated Hospital of Southwest Medical University between March 2012 and July 2019. Patients were divided into four groups on the basis of their preoperative CONUT scores and serum CA199 levels: CONUTlow/CA199low (1), CONUTlow/CA199high (2), CONUThigh/CA199low (3) and CONUThigh/CA199high (4). The prognostic effects were compared among the groups. Results CONUThigh was more frequent in patients with positive peripancreatic infiltration and Clavien–Dindo classification of ≥IIIa (P < 0.001). Kaplan–Meier analysis revealed obvious difference in overall survival (OS) and recurrence-free survival (RFS) among patients with PDAC having CONUT-CA199 scores of 1, 2, 3 and 4 (P < 0.001). Peripancreatic infiltration, lymph node metastasis, pTNM stage, CONUT score, serum CA199 levels and CONUT-CA199 classification were found to be the independent prognostic factors for OS and RFS in multivariate analyses. In time-dependent receiver operating characteristic (ROC) analyses, the area of the CONUT-CA199 score under the ROC curve (AUC) was higher than that of the preoperative CONUT score or serum CA199 levels for the prediction of OS and RFS. Conclusion CONUT-CA199 classification may be more effective in predicting the postoperative prognosis of PDAC patients.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Imteyaz Ahmad Khan ◽  
Safoora Rashid ◽  
Nidhi Singh ◽  
Sumaira Rashid ◽  
Vishwajeet Singh ◽  
...  

AbstractEarly-stage diagnosis of pancreatic ductal adenocarcinoma (PDAC) is difficult due to non-specific symptoms. Circulating miRNAs in body fluids have been emerging as potential non-invasive biomarkers for diagnosis of many cancers. Thus, this study aimed to assess a panel of miRNAs for their ability to differentiate PDAC from chronic pancreatitis (CP), a benign inflammatory condition of the pancreas. Next-generation sequencing was performed to identify miRNAs present in 60 FFPE tissue samples (27 PDAC, 23 CP and 10 normal pancreatic tissues). Four up-regulated miRNAs (miR-215-5p, miR-122-5p, miR-192-5p, and miR-181a-2-3p) and four down-regulated miRNAs (miR-30b-5p, miR-216b-5p, miR-320b, and miR-214-5p) in PDAC compared to CP were selected based on next-generation sequencing results. The levels of these 8 differentially expressed miRNAs were measured by qRT-PCR in 125 serum samples (50 PDAC, 50 CP, and 25 healthy controls (HC)). The results showed significant upregulation of miR-215-5p, miR-122-5p, and miR-192-5p in PDAC serum samples. In contrast, levels of miR-30b-5p and miR-320b were significantly lower in PDAC as compared to CP and HC. ROC analysis showed that these 5 miRNAs can distinguish PDAC from both CP and HC. Hence, this panel can serve as a non-invasive biomarker for the early detection of PDAC.


Author(s):  
Keinosuke Ishido ◽  
Norihisa Kimura ◽  
Taiichi Wakiya ◽  
Hayato Nagase ◽  
Yutaro Hara ◽  
...  

Abstract Background Resectable pancreatic ductal adenocarcinoma (R-PDAC) often recurs early after radical resection, which is associated with poor prognosis. Predicting early recurrence preoperatively is useful for determining the optimal treatment. Patients and methods One hundred and seventy-eight patients diagnosed with R-PDAC on computed tomography (CT) imaging and undergoing radical resection at Hirosaki University Hospital from 2005 to 2019 were retrospectively analyzed. Patients with recurrence within 6 months after resection formed the early recurrence (ER) group, while other patients constituted the non-early recurrence (non-ER) group. Early recurrence prediction score (ERP score) was developed using preoperative parameters. Results ER was observed in 45 patients (25.3%). The ER group had significantly higher preoperative CA19-9 (p = 0.03), serum SPan-1 (p = 0.006), and CT tumor diameter (p = 0.01) compared with the non-ER group. The receiver operating characteristic (ROC) curve analysis identified cutoff values for CA19-9 (133 U/mL), SPan-1 (78.2 U/mL), and preoperative tumor diameter (23 mm). When the parameter exceeded the cutoff level, 1 point was given, and the total score of the three factors was defined as the ERP score. The group with an ERP score of 3 had postoperative recurrence-free survival (RFS) of 5.5 months (95% CI 3.02–7.98). Multivariate analysis for ER-related perioperative and surgical factors identified ERP score of 3 [odds ratio (OR) 4.63 (95% CI 1.82–11.78), p = 0.0013] and R1 resection [OR 3.20 (95% CI 1.01–10.17), p = 0.049] as independent predictors of ER. Conclusions For R-PDAC, ER could be predicted by the scoring system using preoperative serum CA19-9 and SPan-1 levels and CT tumor diameter, which may have great significance in identifying patients with poor prognoses and avoiding unnecessary surgery.


Biomedicines ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 565
Author(s):  
Sona Ciernikova ◽  
Maria Novisedlakova ◽  
Danka Cholujova ◽  
Viola Stevurkova ◽  
Michal Mego

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive malignant tumors due to the absence of biomarkers for early-stage detection and poor response to therapy. Since mounting evidence supports the role of microbiota composition in tumorigenesis and cancer treatment, the link between microbiome and PDAC has been described. In this review, we summarize the current knowledge regarding the impact of the gut and oral microbiome on the risk of PDAC development. Microenvironment-driven therapy and immune system interactions are also discussed. More importantly, we provide an overview of the clinical trials evaluating the microbiota role in the risk, prognosis, and treatment of patients suffering from PDAC and solid tumors. According to the research findings, immune tolerance might result from the microbiota-derived remodeling of pancreatic tumor microenvironment. Thus, microbiome profiling and targeting represent the potential trend to enhance antitumor immunity and improve the efficacy of PDAC treatment.


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