53BP1 expression is a modifier of the prognostic value of lymph node ratio and CA 19–9 in pancreatic adenocarcinoma
© Ausborn et al.; licensee BioMed Central Ltd. 2013
Received: 25 September 2012
Accepted: 8 March 2013
Published: 26 March 2013
53BP1 binds to the tumor suppressor p53 and has a key role in DNA damage response and repair. Low 53BP1 expression has been associated with decreased survival in breast cancer and has been shown to interact with several prognostic factors in non-small cell lung cancer. The role of 53BP1 in pancreatic ductal adenocarcinoma (PDAC) has yet to be determined. We aimed to investigate whether 53BP1 levels interact with established prognostic factors in PDAC.
106 patients for whom there was tissue available at time of surgical resection for PDAC were included. A tissue microarray was constructed using surgical specimens, stained with antibodies to 53BP1, and scored for expression intensity. Univariate and multivariate statistical analyses were performed to investigate the association between 53BP1 and patient survival with known prognostic factors for survival.
The association of 53BP1 with several established prognostic factors was examined, including stage, tumor grade, surgical margin, peripancreatic extension, lymph node ratio (LNR), and CA 19–9. We found that 53BP1 modified the effects of known prognostic variables including LNR and CA 19–9 on survival outcomes. When 53BP1 intensity was low, increased LNR was associated with decreased OS (HR 4.84, 95% CI (2.26, 10.37), p<0.001) and high CA19-9 was associated with decreased OS (HR 1.72, 95% CI (1.18, 2.51), p=0.005). When 53BP1 intensity was high, LNR and CA19-9 were no longer associated with OS (p=0.958 and p=0.606, respectively).
In this study, 53BP1, a key player in DNA damage response and repair, was found to modify the prognostic value of two established prognostic factors, LNR and CA 19–9, suggesting 53BP1 may alter tumor behavior and ultimately impact how we interpret the value of other prognostic factors.
KeywordsBRCA1 protein 53BP1 Pancreatic cancer DNA damage Repair
Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer death in the United States and continues to have a dismal prognosis, with a 5-year overall survival rate less than 4% . The only potential curative option is surgical resection, for which less than 20% of patients are eligible. Even in this subset of patients, the 5-year overall survival remains only 18–24% [2–6]. Given the poor survival with surgery alone, attempts have been made to improve outcomes with adjuvant therapy. In multiple retrospective studies, chemoradiation therapy has been shown to confer a survival advantage compared with surgical resection alone [2, 7, 8]. Other studies suggest a benefit to adjuvant chemotherapy alone and not to adjuvant chemoradiation therapy [9–11]. The role of adjuvant therapy in the management of localized pancreatic cancer remains controversial as many of the randomized clinical trials were statistically underpowered and used outdated radiation fractionation schema and techniques. Therefore, tumor biomarkers that could be used to predict which subset of patients is likely to benefit from adjuvant therapy would be useful for clinicians to tailor therapy based on that individual patient’s tumor characteristics.
Many chemotherapeutic agents act by inducing DNA damage within rapidly dividing tumor cells. Ionizing radiation also causes DNA damage by inducing double-strand breaks (DSBs), which results in cell death. Molecular targets that regulate DNA damage and repair are hence likely to be good predictors of prognosis and response to treatment. The p53 binding protein 1 (53BP1) is a key mediator of DNA damage response, as it is a critical transducer of the DNA damage signal to p53 and other tumor suppressors . DNA DSBs are typically repaired by two major pathways: template-based homologous recombination (HR) and nontemplate-based nonhomologous end joining (NHEJ) . 53BP1 plays a key role in promoting the use of NHEJ to repair lethal DSBs . Poly-(ADP-ribose) polymerase (PARP) is a key nuclear enzyme in DNA single-strand break repair whose inhibition induces synthetic lethality in BRCA1-mutated tumor cells which are HR deficient [15, 16]. DNA double-strand breaks in BRCA1Δ11/Δ11 cells, which are deficient in HR, are aberrantly joined by NHEJ dependent on 53BP1 . Interestingly, deletion of 53BP1 in BRCA1Δ11/Δ11 cells restored HR and alleviated hypersensitivity of BRCA1-mutated cells to PARP inhibition, rendering BRCA1Δ11/Δ11 cells insensitive to PARP inhibition . In another study, Bouwman et al. found that 53BP1 deletion reversed cisplatin sensitivity induced by BRCA1 inactivation . Thus, 53BP1 expression may be a good predictor of pancreatic tumor response to DNA damage-based therapy.
Additionally, low 53BP1 expression has been shown to be associated with poor prognosis. Bouman et al. found that loss of 53BP1 was associated with poor prognosis in patients with triple-negative breast cancer . The role of 53BP1 in PDAC is yet to be determined. In this study, we investigate whether 53BP1 protein expression level is associated with pancreatic tumor behavior and how it interacts with other established prognostic factors in PDAC.
Patient selection and data collection
This study was approved by the Vanderbilt University Medical Center Institutional Review Board. 106 patients were identified who had undergone curative resections for pancreatic adenocarcinoma and for whom both clinical data and tumor tissue were available. Only patients with histologically confirmed ductal adenocarcinomas were included. All tumors were restaged by a single pathologist (SCW) according to AJCC 7th edition criteria . Data collected included patient demographics, operative details, treatment details and survival. Pathologic data obtained included tumor location, total number of nodes involved, total number of nodes resected, tumor size, differentiation, pancreatic extension, and margin status. A positive margin was defined as tumor within 1 mm of the inked resection margin on microscopic examination. The assessment of margins and slicing techniques were performed in a standardized fashion for all patients as previously described . Tumor differentiation was recorded according to the guidelines outlined by the College of American Pathologists . The lymph node ratio (LNR) was defined as the number of positive lymph nodes as a fraction of the total number of lymph nodes examined. CA 19–9 level was determined by a quantitative electrochemiluminescent immunoassay (Roche Modular E170) with a reference interval of 0–37 U/mL.
Construction of tissue microarray
Tissue microarrays were constructed using 1 mm cores of both tumor and background normal/reactive pancreas from 106 curative resection specimens, including pancreaticoduodenectomy/gastrojejunostomy procedures (Whipple procedures) and total or distal pancreatectomies. The microarrays were composed of single or duplicate cores from tumor and background pancreas. The microarrays were cut at 5 μm-thickness and stained with hematoxylin and eosin.
5 μm-thick sections of formalin-fixed, paraffin-embedded tissue microarrays were de-paraffinized and rehydrated. Samples were pretreated to promote antigen retrieval with Target Retrieval Solution (DAKO, Carpinteria, CA, USA). Sections were blocked with 3% hydrogen peroxide, followed by blocking in 2% goat serum/0.1% Triton-X 100/PBS (1 hour). Slides were then incubated with primary antibody 53BP1 (1:200 dilution in blocking buffer, NOVUS, Cat. No. NB100-304) overnight at 4°C. Slides were washed in phosphate-buffered saline. DAB (3,3-diaminobenzidine tetrahydrochloride dehydrate, Invitrogen, Cat. No. 00–2020) was applied. 53BP1 expression was analyzed by microscopy (Carl Zeiss, Thornwood, NY).
The primary endpoint was defined as the time from surgery to the date of all-cause death (overall survival, OS) or last follow-up. The secondary endpoint was defined as the time from surgery to the date of disease recurrence (recurrence-free survival, RFS) or last follow-up. Patients’ demographic and clinical variables were summarized using the median with the 25th and 75th percentiles (interquartile range, IQR) for continuous variables. For categorical variables, frequency and percentages were shown. The Wilcoxon rank sum test was used for continuous variables, and Pearson’s χ2 or Fisher’s exact test was used to compare categorical variables between 53BP1 intensity groups (low or high). The Kaplan-Meier method, Log-rank test, likelihood ratio test, and Cox proportional hazard (Cox PH) models were used in univariate and multivariate analysis when appropriate to investigate the associations between the endpoints and the risk factors. Predetermined interactions of 53BP1 levels by LNR and 53BP1 levels by CA 19–9 levels were included in all multivariable models. All statistical inferences were assessed at a two-sided 5% significant level and all summary statistics, graphics, and survival models were generated using R version 2.13 statistical software .
Patient clinical and pathologic characteristics
Patient clinical and pathologic characteristics
68 (58–73) a
3.0 (2.1–3.5) a
Lymph node status (N stage)
Number of resected nodes
11.0 (8.0–18.2) a
Number of positive nodes
1.0 (0.0–4.0) a
Lymph node ratio
0.095 (0.000–0.257) a
En bloc resection
Surgical margin status
Adjuvant radiation therapy
157 (50–520) a
53BP1 expression intensity
Overall survival status
Survival time, months
15.5 (8.2–35.4) a
Univariate analysis of 53BP1 expression intensity
Low intensity ( N=62), No. (%)
High intensity ( N=44), No. (%)
210 (66–660) 1
Lymph node ratio
0.10 (0.00–0.25) 1
0.09 (0.00–0.27) 1
Recent molecular correlative studies in glioblastoma have shown that certain molecules can modify the value of other prognostic biomarkers . Although 53BP1 intensity was not associated with any of the known prognostic factors in univariate analysis, we postulated that 53BP1 expression levels could interact with and thereby modify established prognostic markers in PDAC. Lymph node involvement in PDAC predicts for worse survival. Carbohydrate 19–9 antigen (CA 19–9) is a sensitive and specific biomarker for pancreatic cancer. The total CA 19–9 values as well as the rates of decline have been shown to predict survival in patients with advanced disease [27–31].
Multivariable Cox PH analyses for OS and RFS
Recurrence free survival
Age at surgery 1, a
Lymph node ratio
Within High 53BP1 level strata 2, a
Within Low 53BP1 level strata 2, a
Within High 53BP1 level strata 3, a
Within Low 53BP1 level strata 3, a
Adjuvant chemotherapy: Yes
Peripancreatic extension status Positive
Perineural invasion status Positive
In this study, 53BP1 was found to modify the effect of two established pancreatic cancer clinicopathological prognostic factors, LNR and CA 19–9 level, on patient survival.
The number of nodes involved is a function not only of the rates of true node positivity but also of the aggressiveness of the surgeon in obtaining these nodes and the pathologist in finding these nodes at the time of resection. Adequate staging of node negative pancreatic cancer requires the evaluation of at least 12 nodes. Unfortunately, this is not always feasible. The ratio of number of positive nodes to the number of nodes examined or the LNR help to equalize these variations in both surgical technique as well as pathological nodal evaluation. LNR has been shown to be of prognostic value in a variety of gastrointestinal tumors including cancers of the stomach, esophagus, colon, rectum, and biliary tract [32–36] and has been suggested as an important prognostic factor in pancreatic cancer as well [37–40]. However, the current determination of N stage in pancreatic cancer is delineated as either positive or negative, rather than the absolute number of nodes or LNR. In our study, we found that when 53BP1 intensity was low, increased LNR was associated with decreased OS (HR 4.84, p<0.001) and RFS (HR 3.92, p<0.001). However, the association of LNR with survival was lost when 53BP1 intensity was high, suggesting that 53BP1 may modulate the tumor cellular environment where low 53BP1 expression level causes worse prognosis for high LNR.
CA 19–9, a sialylated Lewis (Lea) antigen of the MUC1 protein, is another prognostic marker in pancreatic cancer, and serial measurements of CA 19–9 have been shown to be useful to monitor treatment response [41, 42]. There are several studies that have evaluated CA 19–9 as a pretreatment prognostic marker [27–31], and although there is no established threshold value for prognostic evaluation, 370 U/ml has been found to divide patients into two groups with a significant difference in survival . In our study, we found that when 53BP1 intensity was low, high CA19-9 was associated with decreased OS (HR 1.72, p=0.005). When 53BP1 intensity was high, CA 19–9 was no longer associated with overall survival.
Taken together, our results suggest 53BP1 expression levels may precondition the tumor cell biological behavior. 53BP1, as a DNA damage response protein, is thought to promote NHEJ and suppress HR . Increased 53BP1 levels therefore likely allows efficient cellular repair of endogenous DNA damage in response to metabolic stress or chemotherapy and radiation therapy; however, when 53BP1 levels are decreased, there is decreased NHEJ efficiency to repair DNA damage. Our data suggest that low 53BP1 expression may predispose pancreatic tumor cells to become more vulnerable to changes of intrinsic metabolic stress, tumor microenvironment, and genotoxic stress from DNA damage based therapy. In turn this could modify how other prognostic factors such as LNR and CA19-9 predict overall survival.
In a cohort of breast cancer patients treated with breast-conserving surgery and radiotherapy, low 53BP1 was associated with worse clinical outcomes including recurrence-free survival, distant metastasis-free survival, and overall survival . Bouman et al. found that 53BP1 loss was associated with the poor prognosis triple-negative breast cancers . 90.5% of breast tumors that were deficient in 53BP1 were triple-negative. Of the triple-negative tumors assayed, 43% were 53BP1 negative and in non-triple-negative tumors, only 2% were 53BP1 negative (p<0.0001). Together, this data suggests 53BP1 loss is more frequent in more aggressive breast cancers. While in our study low 53BP1 was not directly associated with overall survival, low 53BP1 expression modified the prognostic value of CA 19–9 and LNR so that high CA 19–9 and high LNR were associated with worse OS. With high 53BP1, LNR and CA 19–9 were no longer associated with overall survival. One study has shown an association between 53BP1 and established lung cancer prognostic factors, such as smoking status, lymphovascular invasion, and tumor stage .
Due to study size limitation, our study was unable to test whether 53BP1 could modify the effects of other clinicopathological factors such as adjuvant chemotherapy, margin status, peripancreatic extension status, and perineural invasion status. For example, based on the biologic function of 53BP1, 53BP1 may modify the prognostic value of adjuvant chemotherapy such as the use of PARP inhibitors due to the ability of 53BP1 to alter homologous recombination (HR) and nonhomologous end joining (NHEJ). Loss of this protein may result in the inability of cells to repair damaged DNA and modify sensitivity to chemotherapeutic agents. Also, an important question not addressed in our study that should be addressed in a larger study is the relationship between any of the clinicopathologic factors and local recurrence or distant metastasis.
There are several limitations to our study. For instance, our study group is heterogenous in that patients were included regardless of type of surgical procedure, and the number of lymph nodes retrieved may vary considerably among those procedures. In order to increase our sample size all patients were included. Additionally, in our study perineural invasion was found to have a positive impact on survival, which is inconsistent with the literature. Our finding may be the result of small numbers and the retrospective nature of tissue collection. Our study found that CA 19–9, positive margin, and adjuvant chemotherapy were associated with OS but not RFS. The lack of association with RFS may be a function of the difficulty of accurately coding of recurrence in a retrospective study that spanned such a long time period. Therefore, our hypothesis should be tested with prospectively collected tissue in a large cooperative group setting.
Future studies are warranted to further characterize the role of 53BP1 in PDAC as well as to study the mechanisms by which 53BP1 intensity affects tumor cell behavior. Our results point to the complexity of the translation of cancer cell biology to clinical tumor behavior. A hallmark of cancer cells is the possession of multiple gene mutations and aberrations in cell signaling pathways. The ability to identify a single biomarker to predict tumor response has been disappointing. There will always be an interaction with additional biomarkers or clinicopathological factors. Therefore, it is necessary to interpret the predictive value of a particular biomarker in light of the status of other biomarkers in that individual tumor. Stratification of tumors based on the summation of several biomarkers and clinicopathological factors will allow for better predictive value in the clinic. As the role of 53BP1 in tumors has been shown in several studies to modify the sensitivity of BRCA-mutated cells to chemotherapeutic agents (PARP inhibitors, cisplatin) [17, 18], future studies examining the role of 53BP1 in BRCA-mutated pancreatic cancer would be of clinical value.
In summary, our results demonstrate 53BP1 modifies the effect of two established pancreatic prognostic factors, LNR and CA 19–9, suggesting 53BP1 may alter tumor behavior and ultimately impact how we interpret the clinical value of other prognostic factors.
Pancreatic ductal adenocarcinoma
P53 binding protein 1
Nonhomologous end joining
Lymph node ratio
- CA 19–9:
Carbohydrate 19–9 antigen.
This work was supported in part by the Tissue Core of the Vanderbilt SPORE in GI Cancer (National Institutes of Health P50CA095103), in part by the Vanderbilt-Ingram Cancer Center Support Grant (National Institutes of Health P30 CA68485), and in part by the Vanderbilt Clinical and Translational Science Award grant (UL1 RR024975-01).
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