| Title |
Combination of preoperative CEA and CA19-9 improves prediction outcomes in patients with resectable pancreatic adenocarcinoma: results from a large follow-up cohort
|
|---|---|
| Published in |
OncoTargets and therapy, February 2017
|
| DOI | 10.2147/ott.s116136 |
| Pubmed ID | |
| Authors |
Guofeng Zhou, Xiaoyu Liu, Xiaoyi Wang, Dayong Jin, Yi Chen, Guoping Li, Changyu Li, Deliang Fu, Wanghong Xu, Xiaolin Wang |
| Abstract |
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a 5-year survival rate of <7%. Carbohydrate antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) are often used to predict the outcome of the malignancy independently. However, the joint prognostic effect of the two tumor biomarkers has not been well determined. The study assessed the joint role of preoperative CA19-9 and CEA in the prognostic prediction of resectable PDAC in a large cohort of patients. The study enrolled 460 eligible patients who were ready to undergo surgery for PDAC. Restricted cubic spline and direct-adjusted survival curve revealed the nonlinear association between the biomarker levels and prognosis of patients. Combination of preoperative CA19-9 and CEA effectively improved the prognostic prediction. About 100 U/mL of CA19-9 and 10 μg/mL of CEA were revealed as potential assistant index for prognostic prediction in patients with resectable PDAC and may be used as one of the criteria to assess the resectability of PDAC. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 14% |
| Unspecified | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 33% |
| Unspecified | 2 | 10% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Environmental Science | 1 | 5% |
| Chemical Engineering | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#322,774
of 424,972 outputs
Outputs of similar age from OncoTargets and therapy
#52
of 77 outputs
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