| Literature DB >> 35448172 |
Miguel A Ortega1,2,3, Leonel Pekarek1,2,4, Oscar Fraile-Martinez1,2, Cielo Garcia-Montero1,2, Miguel A Saez1,2,5, Angel Asúnsolo1,2,6, Miguel A Alvarez-Mon1,2, Jorge Monserrat1,2, Lidia Ruiz-Llorente2,7, Natalio García-Honduvilla1,2, Agustin Albillos1,2,8,9, Julia Buján1,2, Melchor Alvarez-Mon1,2,10, Luis G Guijarro2,7,10.
Abstract
Pancreatic cancer will be positioned by the year 2030 as the second cause of oncological death after lung cancer. The pathophysiology of the most common variety, which involves the adenocarcinoma of the pancreas, represents one of the main challenges for current oncology to explain its tumorigenesis and create a targeted treatment. The tumor microenvironment, metastatic capacity, and lack of early diagnosis lead patients to present advanced stages at the time of diagnosis. Despite numerous efforts, little progress has been made in clinical outcomes and with respect to the improved survival of these patients. For this reason, in recent years, numerous diagnostic tests, treatments, and possible approaches in the fields of radiotherapy, chemotherapy, immunotherapy, and surgery have been developed to find a combination of methods that improves life expectancy in patients diagnosed with this disease. On the other hand, the scientific community has made numerous advances in the molecular bases of pancreatic cancer since several oncogenetic pathways have been described and the markers expressed by the tumor have proven to be useful in the prognosis of pancreatic adenocarcinoma. These molecular alterations allow the study of possible therapeutic targets that improve the prognosis of these patients, but even numerous tumor cell-individual interactions must be explained to understand the underlying pathophysiology causing the high mortality. Therefore, the purpose of our study is to examine the expression of markers such as EGFR, Cyclin D1, andCDK4 in order to find a relationship with the possible long-term prognostic factors of patients affected by pancreatic ductal adenocarcinoma. Our results show that there is a prognostic role for ErbB2, EGFR, beta catenin, cyclin D1, and CDK4. Of these, we highlight the clinical importance of ErbB2 in the survival rates of patients who overexpress this component.Entities:
Keywords: CDK4; Cyclin D1; EGFR; ErbB2; pancreatic cancer; prognostic factors
Mesh:
Substances:
Year: 2022 PMID: 35448172 PMCID: PMC9027548 DOI: 10.3390/curroncol29040198
Source DB: PubMed Journal: Curr Oncol ISSN: 1198-0052 Impact factor: 3.109
Primary antibodies used, together with the dilutions and those specified of the protocol.
| Antígen | Dilution | Provider | Protocol Specifications |
|---|---|---|---|
| CDK4 | 1:250 | Vitro, MAD-000597QD-3/V | - |
| Cyclin D1 | 1:500 | Vitro, MAD-000630QD-3/V | Preincubation with Tris-EDTA Buffer pH9 and incubation with 0.1% TTX (Triton × 100 in TBS) for 5 min |
| Beta Catenin-1 | 1:250 | Vitro, MAD-000699QD-3/V | Preincubation with Tris-EDTA Buffer pH9 and incubation with 0.1% TTX (Triton × 100 in TBS) for 5 min |
| EGFR | 1:300 | Vitro, MAD-000664QD-3/V | - |
| ErbB2 | 1:500 | Vitro, MAD-000308QD-3/V | - |
Clinical and sociodemographic characteristics of patients diagnosed with pancreatic cancer included in the study. IQR = Interquartile range; n = number of patients.
| Age (Median (IQR)) | 72.00 (45.00–88.00) |
|---|---|
| Sex ( | |
| Men | 27 (65.85) |
| Women | 14 (34.15) |
| Smoking | 18 (43.90) |
| Drinking | 11 (26.83) |
| Obesity | 2 (4.88) |
| Type II diabetes | 15 (36.58) |
| Chronic pathologies | 4 (9.76) |
| Prior malignant neoplasms | 11 (26.83) |
Percentage of positive expression for CDK4, Cyclin-D1, B-catenin, and EGFR in pancreatic cancer, classified according to tissue expression levels. E-Negative = negative expression; E-Low/Medium = tissue expression classified as low/medium; E-High = tissue expression classified as high.
| CDK4 | Cyclin D1 | B-Catenin | EGFR | |
|---|---|---|---|---|
| E-Negative | 6 (14.63) | 8 (19.51) | 7 (17.08) | 5 (12.19) |
| E-Low/medium | 16 (39.02) | 19 (46.34) | 19 (46.34) | 14 (34.15) |
| E-High | 19 (46.35) | 14 (34.15) | 15 (36.58) | 22 (53.66) |
Figure 1Kaplan–Meier curves for survival time according to tumor expression (left) and images showing the protein expression of CDK4 and Cyclin-D1 in patients diagnosed with pancreatic cancer (right A–D). E-Low/Medium = tissue expression classified as low/medium; E-High = tissue expression classified as high; 320× magnification. Histological samples from patients diagnosed with pancreatic cancer were classified as negative expression (0), low/medium (1), and high (3) using the IRS Score method n = 41.
Figure 2Kaplan–Meier curves for survival time according to tumor expression (left) and images showing the protein expression of beta catenin and EGFR in patients diagnosed with pancreatic cancer (right A–D). E-Low/Medium = tissue expression classified as low/medium; E-High = tissue expression classified as high; 320× magnification. Histological samples from patients diagnosed with pancreatic cancer were classified as negative expression (0), low/medium (1), and high (3) using the IRS Score method n = 41.
Figure 3Kaplan–Meier curves for survival time according to tumor expression (top) and images showing the protein expression of Erb2 in patients diagnosed with pancreatic cancer (bottom A,B). E-Low/Medium = tissue expression classified as low/medium; E-High = tissue expression classified as high; 320× magnification. Histological samples from patients diagnosed with pancreatic cancer were classified as negative expression (0), low/medium (1), and high (3) using the IRS-Score method n = 41.