2020
DOI: 10.4240/wjgs.v12.i12.468
|View full text |Cite
|
Sign up to set email alerts
|

Carbohydrate antigen 19-9 — tumor marker: Past, present, and future

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
106
0
2

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 140 publications
(142 citation statements)
references
References 125 publications
1
106
0
2
Order By: Relevance
“…Despite recognizing the difficulties in the comparison of studies with different methodologies, the individual median and 5-year PFS and OS results of the current retrospective cohort analysis in 152 LAPAC patients treated with definitive C-CRT accord well with previous C-CRT reports in these patients. 18,19,37,38 Besides, results from multivariate analyses appeared to strengthen previously established independent unfavorable prognostic influence of the N 1-2 stage, presenting WL>5%, CA19-9 > 90 U/mL, and SIRI>1.6. However, the chief contribution of our critical research to the LAPAC literature was the display of the PCPI (a blend of CA 19-9 and SIRI) as an innovative and independent prognostic factor that uniquely merges a tumor marker and an immune-inflammation biomarker that efficiently stratifies the LAPAC patients into three unique PFS and OS groups beyond that of accessible prognosticators following radical C-CRT.…”
supporting
confidence: 70%
See 2 more Smart Citations
“…Despite recognizing the difficulties in the comparison of studies with different methodologies, the individual median and 5-year PFS and OS results of the current retrospective cohort analysis in 152 LAPAC patients treated with definitive C-CRT accord well with previous C-CRT reports in these patients. 18,19,37,38 Besides, results from multivariate analyses appeared to strengthen previously established independent unfavorable prognostic influence of the N 1-2 stage, presenting WL>5%, CA19-9 > 90 U/mL, and SIRI>1.6. However, the chief contribution of our critical research to the LAPAC literature was the display of the PCPI (a blend of CA 19-9 and SIRI) as an innovative and independent prognostic factor that uniquely merges a tumor marker and an immune-inflammation biomarker that efficiently stratifies the LAPAC patients into three unique PFS and OS groups beyond that of accessible prognosticators following radical C-CRT.…”
supporting
confidence: 70%
“…3,7,9,10,[31][32][33]35 Similarly, CA 19-9 has been extensively studied for its prognostic significance in PAC patients undergoing various oncological treatments, with proven efficacy for accurate prediction of pretreatment tumor stage and resectability status, response to therapy, PFS, and OS outcomes, despite various cutoffs being used in these researches. [16][17][18][19][20][21][22][23] Surprisingly, establishing rational grounds for the present investigation, the blend of these two potent biomarkers had never been tested before for its prognostic significance in unresectable LAPAC patients who underwent exclusive C-CRT albeit SIRI was first formulated for PAC patients and the CA 19-9 demonstrates its chief utility in PACs.…”
mentioning
confidence: 94%
See 1 more Smart Citation
“…Identifying biomarkers in body fluids (liquid biopsies) for early PDAC or preinvasive precursors with potential for malignant transformation is the holy grail in pancreatic cancer research. Although the tumor marker CA 19‐9 has a low sensitivity, it is the best available marker for PDAC to date 36 . Increase in CA 19‐9, even if still in the normal range (<35 u/ml), is indicative of a progress in IPMN 37 and indication for surgery 38 .…”
Section: Early Diagnosis: Challenges To Find Invisible Precursorsmentioning
confidence: 99%
“…PDAC has a paucity of specific and sensitive biomarkers, with carbohydrate antigen 19-9 (CA19-9) being the only routine biomarker used in the clinic [ 59 , 60 ]. Unfortunately, CA19-9 is not highly specific to PDAC (only found in the serum of ~75% of patients) and is also secreted in other conditions such as benign pancreatic diseases (e.g., pancreatitis) and other cancers [ 61 ]. Considering the stromal density and extensive ECM turnover in PDAC tumors, it is logical that using ECM-based biomarkers could potentially help during diagnosis of the disease.…”
Section: Stromal Features Can Influence and Predict Outcomes In Pdacmentioning
confidence: 99%