Functional CDKN2A assay identifies frequent deleterious alleles misclassified as variants of uncertain significance

Abstract
Introduction
Results
Discussion
Materials and methods
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Abstract

Pathogenic germline CDKN2A variants are associated with an increased risk of pancreatic ductal adenocarcinoma (PDAC). CDKN2A variants of uncertain significance (VUSs) are reported in up to 4.3% of patients with PDAC and result in significant uncertainty for patients and their family members as an unknown fraction are functionally deleterious, and therefore, likely pathogenic. Functional characterization of CDKN2A VUSs is needed to reclassify variants and inform clinical management. Twenty-nine germline CDKN2A VUSs previously reported in patients with PDAC or in ClinVar were evaluated using a validated in vitro cell proliferation assay. Twelve of the 29 CDKN2A VUSs were functionally deleterious (11 VUSs) or potentially functionally deleterious (1 VUS) and were reclassified as likely pathogenic variants. Thus, over 40% of CDKN2A VUSs identified in patients with PDAC are functionally deleterious and likely pathogenic. When incorporating VUSs found to be functionally deleterious, and reclassified as likely pathogenic, the prevalence of pathogenic/likely pathogenic CDKN2A in patients with PDAC reported in the published literature is increased to up to 4.1% of patients, depending on family history. Therefore, CDKN2A VUSs may play a significant, unappreciated role in risk of pancreatic cancer. These findings have significant implications for the counselling and care of patients and their relatives.

Introduction

Pancreatic ductal adenocarcinoma (PDAC) is a lethal cancer with a median survival of less than 6 months and a 5-year survival rate of only 10% (Siegel et al., 2020). Surveillance of high-risk individuals (HRIs), such as people with a pathogenic germline variant in a pancreatic cancer susceptibility gene, for example, ATM, BRCA1, BRCA2, CDKN2A, CPA1, CPB1, MLH1, MSH2, MSH6, PALB2, PMS2, PRSS1, and STK11, has the potential to reduce mortality through detection of early, potentially curable, PDAC and its precursor lesions (Canto et al., 2018; Vasen et al., 2016). The International Cancer of the Pancreas Screening (CAPS) Consortium trials found that surveillance identified either PDAC or a high-grade precursor lesion in 6.8% of HRIs, including relatives of patients with familial pancreatic cancer and individuals with a pathogenic germline variant in a pancreatic cancer susceptibility gene, during a median follow-up 5.6 years (24 of 354 individuals) (Canto et al., 2013; Goggins et al., 2020; Canto et al., 2018). Similarly, in a recent screening study of 178 HRIs with a germline pathogenic CDKN2A variant, 13 individuals with PDAC were identified (7.3%) during a median follow-up 53 months (Vasen et al., 2016). Importantly, the overall resection rate and 5-year survival rate was 75% and 24%, respectively (Vasen et al., 2016). Furthermore, patients with PDAC and a pathogenic germline variant in a pancreatic cancer susceptibility gene may have cancers that are uniquely sensitive to specific anti-cancer therapies, as is the case for poly(ADP)-ribose polymerase inhibitors and immunotherapy (Kaufman et al., 2015; Le et al., 2015). Consequently, recent American Society of Clinical Oncology (ASCO) and National Comprehensive Cancer Network (NCCN) guidelines recommend germline testing of all pancreatic cancer patients and their at-risk first-degree relatives (Goggins et al., 2020; Stoffel et al., 2019).

The CDKN2A gene encodes two proteins, p16^INK4a and p14^ARF. p16^INK4a inhibits CDK4 activity, is a regulator of cell cycle progression, and a tumor suppressor gene (Serrano et al., 1993). Germline variants in CDKN2A that affect p16^INK4a (hereafter referred to CDKN2A variants) can be classified as either pathogenic, benign, or variants of uncertain significance (VUSs) based on American College of Medical Genetics (ACMG) guidelines (Richards et al., 2015). Pathogenic germline CDKN2A variants have been identified in up to 3.3% patients with familial pancreatic cancer and up to 2.6% of patients with PDAC unselected for family history or without a family history of PDAC (Brand et al., 2018; Chaffee et al., 2018; Hu et al., 2018; Kimura et al., 2021; Lowery et al., 2018; McWilliams et al., 2018; McWilliams et al., 2011; Roberts et al., 2016; Shindo et al., 2017; Singhi et al., 2019; Zhen et al., 2015). Strikingly, individuals with a known pathogenic germline CDKN2A variant have up to a 12.3-fold increased risk of developing PDAC (Hu et al., 2018).

Germline CDKN2A VUSs are a common finding in patients undergoing germline genetic testing. CDKN2A VUSs, predominantly rare missense variants, are found in 2.9–4.3% of patients with PDAC, depending on family history (Chaffee et al., 2018; McWilliams et al., 2018; Roberts et al., 2016; Shindo et al., 2017; Zhen et al., 2015). Finding a germline CDKN2A VUS can be a cause of significant clinical uncertainty. For example, while individuals with a pathogenic germline CDKN2A variant are recommended for clinical surveillance, those with a germline CDKN2A VUS are often not included in surveillance studies unless they fulfill family history criteria (Goggins et al., 2020; Stoffel et al., 2019). Therefore, the functional characterization and reclassification of CDKN2A VUSs will inform disease surveillance and early detection efforts.

The effect of CDKN2A variants can be determined in vitro by assay of a specific molecular function of p16^INK4A, such as binding to CDK4/6, or by assay a broad cellular function, such as cell proliferation, cell viability, and cell cycle progression (Kannengiesser et al., 2009; Miller et al., 2011; Ng et al., 2018). The positive and negative predictive values for assays of broad cellular function are higher than those considering only CDK4/6 binding (Miller et al., 2011). For example, some CDKN2A variants, such as p.Gly35Ala, p.Gly67Arg, p.Glu69Gly, and p.Arg87Trp, bind to CDK4 comparably to wild type (WT) p16^INK4a, but do not inhibit cell proliferation, indicating that additional functions not assessed in vitro CDK4 binding are important for cellular function (Kannengiesser et al., 2009).

In this study, we used a validated in vitro cell proliferation assay and cell cycle analysis to determine the functional consequence of CDKN2A variants and reclassify 29 germline CDKN2A VUSs previously reported in patients with PDAC.

Results

CDKN2A variants assayed

The germline CDKN2A variants functionally characterized in this study are presented in Table 1 and Supplementary file 1. Variants were classified using ACMG variant classification guidelines and given as amino acid change with reference to NP_000068.1 (Richards et al., 2015). We defined benchmark pathogenic variants as variants previously reported in patients with familial pancreatic cancer, PDAC, or reported in ClinVar as pathogenic or likely pathogenic. Benchmark pathogenic variants included: p.Leu16Arg, p.Arg24Pro, p.Ile49Thr, p.Met53Ile, p.Leu78Hisfs*41, p.His83Tyr, p.Asp84Asn, p.Gly101Trp, and p.Val126Asp (Chaffee et al., 2018; Chang et al., 2016; Horn et al., 2021; Hu et al., 2018; McWilliams et al., 2018; Roberts et al., 2016; Zhen et al., 2015). We defined benchmark benign variants as variants reported in ClinVar as benign or likely benign. Benchmark benign variants included: p.Ala57Val, p.Ala100Ser, p.His123Gln, p.Ala127Ser, p.Arg144Cys, and p.Ala148Thr (McWilliams et al., 2018; Roberts et al., 2016). Germline CDKN2A VUSs were selected as detailed in Figure 1. Briefly, 29 missense CDKN2A variants affecting p16^INK4A that were previously reported in patients with familial pancreatic cancer, PDAC, or reported in ClinVar as VUSs were selected (Chaffee et al., 2018; Hu et al., 2018; McWilliams et al., 2018; Roberts et al., 2016; Shindo et al., 2017; Zhen et al., 2015). These 29 VUSs included: p.Met9Thr, p.Pro11Leu, p.Thr18Pro, p.Ala20Gly, p.Arg24Gln, p.Pro41Gln, p.Gln50Arg, p.Leu65Pro, p.His66Pro, p.His66Arg, p.Gly67Arg, p.Ala68Val, p.Glu69Gly, p.Asp74Ala, p.Asp74His, p. Asp84Ala, p.Gly89Asp, p.Arg99Gly, p.Gly101Arg, p.Ala109Pro, p.Gly111Ser, p.Gly122Val, p.Arg124Cys, p.Asp125His, p.Ala127Pro, p.Arg128Pro, p.Ala134Thr, p.Gly139Arg, and p.Ala143Thr.

Table 1

CDKN2A variants assayed.

Classification^a	Variant^b
Pathogenic	p.Leu16Arg, p.Arg24Pro, p.Met53Ile, p.Gly101Trp, p.Val126Asp
Likely pathogenic	p.Ile49Thr, p.Leu78Hisfs*41, p.His83Tyr, p.Asp84Asn
Likely benign	p.Ala57Val, p.Ala100Ser, p.His123Gln, p.Ala127Ser, p.Arg144Cys
Benign	p.Ala148Thr
VUS	p.Met9Thr, p.Pro11Leu, p.Thr18Pro, p.Ala20Gly, p.Arg24Gln, p.Pro41Gln, p.Gln50Arg, p.Leu65Pro, p.His66Pro, p.His66Arg, p.Gly67Arg, p.Ala68Val, p.GluE69Gly, p.Asp74Ala, p.Asp74His, p. Asp84Ala, p.Gly89Asp, p.Arg99Gly, p.Gly101Arg, p.Ala109Pro, p.Gly111Ser, p.Gly122Val, p.Arg124Cys, p.Asp125His, p.Ala127Pro, p.Arg128Pro, p.Ala134Thr, p.Gly139Arg, and p.Ala143Thr

a. Classification using American College of Medical Genetics (ACMG) variant classification guidelines.
b. Variant given as protein change with reference to NP_000068.1. Known pathogenic and benign variants used for benchmarking indicated in bold.

Figure 1

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Identification of germline *CDKN2A* variant of uncertain significance (VUS) for functional characterization.

Workflow to identify the 29 germline *CDKN2A* VUS selected for characterization in our functional assay. CDKN2A VUSs were classified using American College of Medical Genetics (ACMG) guidelines and either identified in patients with pancreatic ductal adenocarcinoma (PDAC) from published literature or in ClinVar.

Validation of in vitro functional assay

PANC-1 (CRL-1469) is a human PDAC cell line with a homozygous deletion of CDKN2A (Caldas et al., 1994). Consistent with previous reports, CDKN2A (p16^INK4A) was not detectable in PANC-1 cells by western blot (Figure 2A). Stable expression of WT CDKN2A in PANC-1 cells through lentiviral transduction resulted in a significant reduction in cell proliferation compared to empty vector control (p-value < 0.0001) (Figure 2A and B). Conversely, stable expression of three known pathogenic, and therefore functionally deleterious, CDKN2A variants, p. Leu78Hisfs*41, p.Gly101Trp, or p.Val126Asp, in PANC-1 cells resulted in no reduction in cell proliferation compared to the empty vector control (Figure 2A and B).

Figure 2

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Development and validation of functional assay.

(A) Western blot of whole cell lysates from PANC-1 cells and PANC-1 cells stably expressing wild type CDKN2A (p16^INK4A) or selected pathogenic variants using anti-CDKN2A and anti-vinculin antibodies as a loading control. No expression of CDKN2A (p16^INK4A) detected in PANC-1 cells or PANC-1 cell stably expressing empty vector. CDKN2A (p16^INK4A) expression detected in PANC-1 cells stably expressing pathogenic variants. (B) Growth of PANC-1 cell and PANC-1 cells stably expressing wild type CDKN2A cDNA (p16^INK4A) or selected pathogenic variants over 14 days in culture. Cell proliferation values are shown as mean (n = 3) ± s.d. normalized to PANC-1 cell stably expressed with empty vector. Significant growth inhibition in PANC-1 cell stably expressing wild type CDKN2A (p16^INK4A). *p < 0.01. Original files of the full raw unedited blots and the uncropped blots with the relevant CDKN2A and vinculin bands presented in Figure 2—source data 1, Figure 2—source data 2 and 3. For raw data in Figure 2, please refer to Figure 2—source data 4.

Figure 2—source data 1 Original file of the full raw unedited CDKN2A blot.: https://cdn.elifesciences.org/articles/71137/elife-71137-fig2-data1-v2.zip
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Figure 2—source data 2 Original file of the full raw unedited vinculin blot.: https://cdn.elifesciences.org/articles/71137/elife-71137-fig2-data2-v2.zip
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Figure 2—source data 3 The uncropped blots with the relevant CDKN2A and vinculin bands labelled.: https://cdn.elifesciences.org/articles/71137/elife-71137-fig2-data3-v2.zip
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Figure 2—source data 4 Raw data in Figure 2B.: https://cdn.elifesciences.org/articles/71137/elife-71137-fig2-data4-v2.xlsx
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To establish benchmarks for the functional interpretation of CDKN2A VUSs, we next determined cell proliferation values for an additional six known pathogenic and six known benign variants in our assay. Known pathogenic and benign variants are likely functionally deleterious and functionally neutral, respectively, in our assay and were used as benchmarks for interpretation of CDKN2A VUSs. The mean cell proliferation value for all pathogenic variants assayed was 0.90 (range: 0.84–1.03), while the mean cell proliferation value for all benign variants assayed was 0.26 (range: 0.14–0.48) (Figure 3). Importantly, there was clear demarcation between the mean cell proliferations values of assayed benchmark pathogenic and benign variants. Therefore, we set the following thresholds to characterize assayed VUSs. VUSs were characterized as either functionally deleterious or functionally neutral if they had mean cell proliferation values of >0.81 or ˂0.44, respectively, based on the Z-score 95% confidence interval (CI). To classify assayed VUSs with mean cell proliferations values ≥0.44 but ≤0.81, we used a cutoff of 0.66, the midpoint between the lowest mean cell proliferation value for a pathogenic variant and the highest mean cell proliferation value for a benign variant, as area under the receiver operating characteristic (ROC) curve was 1, indicating that our assay could distinguish between pathogenic and benign variants with >99% sensitivity and >99% specificity. Therefore, assayed VUSs with a mean cell proliferation value >0.66 and ≤0.81 were classified as potentially functionally deleterious, while VUSs with a mean cell proliferation value >0.44 than ≤0.66 classified as potentially functionally neutral (Figure 3).

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Functional characterization of *CDKN2A* variants.

Functional characterization of 45 *CDKN2A* variants (9 pathogenic variants, 7 benign variants, 29 variants of uncertain significance [VUSs]) in PANC-1 cells. Cell proliferation values are shown as mean (n = 3) ± s.d. normalized to PANC-1 cell stably expressed with empty vector. Assayed variants with mean cell proliferation values: (1) above the gray shaded area (>0.81) were classified as functionally deleterious, (2) below the gray shaded area (<0.44) were classified as functionally benign, (3) in the gray area above the threshold dotted line (≥0.66 but ≤0.81) were potentially functionally deleterious, and (4) in the gray area below the threshold dotted line (<0.66 but ≥0.44) were potentially functionally neutral. For raw data in this figure, please refer to Figure 3—source data 1.

Figure 3—source data 1 Raw data in Figure 3.: https://cdn.elifesciences.org/articles/71137/elife-71137-fig3-data1-v2.xlsx
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Functional characterization and reclassification of CDKN2A VUS

We used our cell proliferation assay to functionally characterize and reclassify 29 germline CDKN2A VUSs. These VUSs were selected because they were either reported in previously published studies in patients with PDAC and/or were reported in ClinVar (Figure 3). Eleven of the 29 VUSs (37.9%) had cell proliferation scores above 0.81 and were classified as functionally deleterious, including p.Thr18Pro, p.Ala20Gly, p.Gln50Arg, p.His66Pro, p.Ala68Val, p.Asp74Ala,, p.Asp84Ala, p.Gly89Asp, p.Ala109Pro, p.Ala127Pro, and p.Arg128Pro. One VUS (3.4%), p.Leu65Pro, had a cell proliferation score between 0.66 and 0.81 and was classified as potentially functionally deleterious. Three VUSs (10.3%), p.Asp74His, p.Gly111Ser, and, p.Gly122Val, had a cell proliferation score between 0.66 and 0.44 and were classified as potentially functionally neutral. The remaining 14 VUSs (48.3%) had cell proliferation scores below 0.44 and were classified as functionally neutral, including p.Met9Thr, p.Pro11Leu, p.Arg24Gln, p.Pro41Gln, p.His66Arg, p.Gly67Arg, p.Glu69Gly, p.Arg99Gly, p.Gly101Arg, p.Arg124Cys, p.Asp125His, p.Ala134Thr, p.Gly139Arg, p.Ala143Thr. Taken together, 12 of the 29 germline CDKN2A variants previously classified as VUSs, representing over 40% of assayed VUSs, demonstrated aberrant function in our assay and would be reclassified as likely pathogenic based on ACMG guidelines that consider validated in vitro functional assays showing a deleterious effect for a variant as strong evidence to support pathogenicity (Richards et al., 2015).

Assay of CDKN2A VUSs in additional PDAC cell lines

To determine if the PDAC cell line used in our assay affected variant functional characterizations, we assayed all CDKN2A variants (benchmark pathogenic, benchmark benign, and VUS) using two additional PDAC cell lines with homozygous deletions of CDKN2A: MIA PaCa-2 (ATCC, catalog no. CRL-1420) and AsPC-1 (ATCC, catalog no. CRL-1682) (Yamato and Furukawa, 2001). Western blot for CDKN2A did not detect expression of p16^INK4A in either cell line (Figure 3—figure supplement 1). Importantly, there was clear demarcation between the mean cell proliferation values of assayed benchmark pathogenic and benign variants in both MIA PaCa-2 and AsPC-1 (Figure 3—figure supplement 2A-B and Supplementary file 2). In MIA PaCa-2 cells, 7 (24.1%) VUSs were characterized as functionally deleterious, 5 (17.2%) as potentially functionally deleterious, 3 (10.3%) as potentially functionally neutral, and 14 (48.3%) as functionally neutral based on their mean cell proliferation values (Figure 3—figure supplement 2A and Supplementary file 2). In AsPC-1 cells, 6 (20.7%) VUSs were characterized as functionally deleterious, 6 (20.7%) as potentially functionally deleterious, 8 (27.6%) as potentially functionally neutral, and 9 (31%) as functionally neutral based on their mean cell proliferation values (Figure 3—figure supplement 2B and Supplementary file 2). Importantly, there was classification agreement between VUS functional classifications across cell lines (Supplementary file 2). When considering mean cell proliferation values for variants across all cell lines, 11 VUSs (20.7%; p.Thr18Pro, p.Gln50Arg, p.Leu65Pro, p.His66Pro, p.Ala68Val, p.Asp74Ala, p.Asp84Ala, p.Gly89Asp, p.Ala109Pro, p.Ala127Pro, and p.Arg128Pro) were classified as functionally deleterious, 1 VUS (3.4%; p.Ala20Gly) was potentially functionally deleterious, 2 VUSs (6.9%; p.Asp74His and p.Gly122Val) were potentially functionally neutral, and 15 VUSs (51.7%; p.Met9Thr, p.Pro11Leu, p.Arg24Gln, p.Pro41Gln, p.His66Arg, p.Gly67Arg, p.Glu69Gly, p.Arg99Gly, p.Gly101Arg, p.Gly111Ser, p.Arg124Cys, p.Asp125His, p.Ala134Thr, p.Gly139Arg, and p.Ala143Thr) were functionally neutral (Figure 3—figure supplement 3 and Supplementary file 2).

Analysis of cell cycle progression

As reintroduction of CDKN2A into cancer cells lacking CDKN2A delays cell cycle progression, we determined the percent of variant-expressing PANC-1 cells in G1, G2/M, and S phases of the cell cycle (Miller et al., 2011). The percent of cells in G1 phase for benchmark pathogenic variants (47.2%, range: 43–50.9%) and VUSs with functionally deleterious or potentially functionally deleterious classifications (48.5%, range: 42.2–52.3%) were significantly lower than benchmark benign variants (63.1%, range: 58.4–67.1%) (p-value < 0.01, Student’s t test) and VUSs with functionally neutral or potentially functionally neutral classifications (62.8%, range: 57.6–68.8%) (p-value < 0.01, Student’s t test) (Figure 4 and Figure 4—figure supplements 1–4). Similarly, the percent of cells in G2/M phase for benchmark pathogenic variants (42.4%, range: 37.7–49.2%) and VUSs with functionally deleterious or potentially functionally deleterious classifications (40.4%, range: 37.3–45.5%) were significantly lower than benchmark benign variants (25.7%, range: 19.3–35.1%) and VUSs with functionally neutral or potentially functionally neutral classifications (26.6%, range: 18.9–36.6%) (p-value < 0.01, Student’s t test) (Figure 4—figure supplement 5). These data are consistent with the functional classifications from our cell proliferation assay.

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Cell cycle analysis of *CDKN2A* variants.

G1 percent for 45 *CDKN2A* variants (9 pathogenic variants, 7 benign variants, 29 variants of uncertain significance [VUSs]) in PANC-1 cells. Significant inhibition of G1 arrest function of CDKN2A by benchmark pathogenic variants and functionally deleterious or potentially functionally deleterious VUSs. *p < 0.01. For raw data in this figure, please refer to Figure 4 and Table 1.

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Comparison with previously reported functional data

Five of the 29 CDKN2A VUSs assayed had previously reported functional data available (Supplementary file 3). In agreement with our functional classification, p.Arg24Gln and p.Gly101Arg did not demonstrate deleterious effects in previously reported CDK4 binding and cell proliferation assays (Jenkins et al., 2013; Kannengiesser et al., 2009; Miller et al., 2011). p.Gly122Val previously demonstrated CDK6 binding similar to WT CDKN2A, binding to CDK4 was significantly reduced, and partially inhibit cell proliferation (Yakobson et al., 2000). In our study, p.Gly122Val partially inhibited cell proliferation and clustered with potentially functionally neutral variants. Furthermore, p.Gly67Arg and p.Glu69Gly were previously shown to result in a 40% reduction in CDK4 binding compared to WT CDKN2A (Kannengiesser et al., 2009). In our study, p.Gly67Arg and p.Glu69Gly clearly inhibited cell proliferation and clustered with functionally neutral variants.

Prevalence of functionally deleterious CDKN2A VUS in patients with PDAC

As the assayed CDKN2A VUSs included variants identified in previously published studies of patients with PDAC, we next determined the prevalence of functionally deleterious VUSs, VUSs that could be reclassified as likely pathogenic variants, in separate cohorts of patients with PDAC. Ten (58.8%) of the 17 CDKN2A VUSs identified in a study of 638 patients with familial pancreatic cancer (Roberts et al., 2016) were found to be functionally deleterious in our assay and could be reclassified as likely pathogenic variants. In another study of 727 patients with a family history of PDAC, including patients that did not meet the criteria for classification as familial pancreatic cancer, 6 (46.2%) of 13 CDKN2A VUSs identified were functionally deleterious in our assay (Zhen et al., 2015). Similarly, in a study of 302 patients with a family history of PDAC, 4 of the 9 (44.4%) CDKN2A VUSs reported were functionally deleterious in our assay (Chaffee et al., 2018). Combining these latter two study results, there were 10 functionally deleterious CDKN2A variants that could be reclassified as likely pathogenic variants in 1029 patients with a family history of PDAC.

When considering patients with PDAC unselected for family history, in one study of 350 patients with PDAC (McWilliams et al., 2018), 3 of 8 (37.5%) VUSs identified were classified as functionally deleterious in our assay. On the other hand, in another study of 854 patients with PDAC unselected for family history, the one VUS identified was found to be functionally neutral (Shindo et al., 2017). Similarly, when combining these data, three functionally deleterious CDKN2A variants that could be reclassified as likely pathogenic variants were identified in 1204 patients with PDAC unselected for family history.

As we assayed all CDKN2A VUSs reported in these studies, our data indicate that the prevalence of likely pathogenic germline CDKN2A variants initially characterized as VUSs is 1.6% (95% CI: 0.8–2.9%) in patients with familial pancreatic cancer, 0.9% (95% CI: 0.5–1.8%) in patients with PDAC positive family history of PDAC (including patients that did not meet the criteria for classification as familial pancreatic cancer), and 0.1% (95% CI: 0.02–0.3%) in PDAC patients unselected for family history. When incorporating functionally deleterious VUSs we have reclassified as likely pathogenic variants with known pathogenic variants in CDKN2A, the cumulative prevalence of pathogenic and likely pathogenic CDKN2A variants in these studies increased from 2.5% to 4.1% (95% CI: 2.8–5.9%) in patients with familial pancreatic cancer, from 1.7% to 2.7% (95% CI: 1.9–3.9%) in patients with PDAC who had a positive for a family history of the disease (including patients that did not meet the criteria for classification as familial pancreatic cancer), and from 0.7% to 1.0% (95% CI: 0.6–1.7%) in PDAC patients unselected for family history.

Discussion

Germline CDKN2A VUSs are identified in up to 4.3% patients with PDAC and are the cause of significant clinical uncertainty. Individuals with a CDKN2A VUS are not currently eligible for surveillance unless they meet other family history criteria. We used a cell proliferation assay to functionally characterize germline CDKN2A VUSs identified in patients with PDAC and/or reported in ClinVar and provide evidence to reclassify variants into clinically actionable strata.

We found that over 40% of CDKN2A variants previously classified as VUS were functionally deleterious in our assay and could be reclassified as likely pathogenic variants (12 of 29 CDKN2A VUSs; 41.4%). When considering CDKN2A VUS identified in patients with PDAC, our results suggest that the prevalence of CDKN2A VUSs that are functionally deleterious is up to 1.6% in patients with PDAC, depending on family history. It should be noted, however, that we characterized only missense CDKN2A VUS in our assay. Functional characterization of other types of CDKN2A VUS, such as synonymous variants, in-frame indels, and non-coding variants, would refine these estimates.

Furthermore, we determined the prevalence of germline CDKN2A VUSs that are functionally deleterious in patients with PDAC reported in previously published literature. Overlap of patient cohorts between these studies may affect estimates of prevalence. Regardless, we can conclude that functionally deleterious CDKN2A VUSs are likely to play a significant and previously unappreciated role in risk of PDAC, particularly for patients with a family history of the disease. Studies to define age-specific penetrance estimates for individuals with a pathogenic germline CDKN2A variant, including functionally deleterious variants previously classified as VUSs, are necessary and will inform genetic counselling, surveillance, and early detection efforts.

VUS functional characterizations were generally consistent when using PANC-1, MIA PaCA-2, and AsPC-1 cells in our cell proliferation assay. Specifically, no variant found to be functionally deleterious or potentially functionally deleterious when assayed with one cell line, had a functionally neutral or potentially functionally neutral classification when assayed with another cell line. Furthermore, PDAC cell lines had different genetic alterations and degrees of ploidy (Sirivatanauksorn et al., 2001; Yamato and Furukawa, 2001) indicating that our functional classifications are robust to cell line-specific effects.

Consistent with our functional classifications, we found that benchmark pathogenic variants and VUSs classified as functionally deleterious or potentially functionally deleterious had a significantly lower percent of cells in G1 phase and a significantly higher percent of cells in G2/M phase of the cell cycle compared to either benchmark benign variants or VUSs classified as functionally benign or potentially functionally benign. These data suggest that expression of CDKN2A variants classified as pathogenic, functionally deleterious, or potentially functionally deleterious do not control progression through the cell cycle.

We were also able to compare our assay results for five CDKN2A VUSs with previously published data. In general, our assay results were consistent with previous reports. However, assay results for two VUSs, p.Gly67Arg and p.Glu69Gly, were inconsistent with previously reported partial reduction in CDK4 binding. There are several explanations for these observations. First, our assay is of broad cellular function, specifically cell proliferation, and therefore, may encompass functions other than CDK4 binding. Second, it is possible that overexpression of CDKN2A variants with partial loss-of-function may be obscured in our assay by non-physiological levels of expression. Future studies to correlate CDK4 binding with pathogenicity and to develop of functional assays that utilize endogenous promoters and enhancers would provide further clarity.

In conclusion, we functionally characterized and reclassified 29 CDKN2A VUSs identified in patients with PDAC or reported in ClinVar using a validated functional assay. We found that over 40% of CDKN2A VUS assayed were, in fact, functionally deleterious and as a result can be reclassified as likely pathogenic using ACMG guidelines. This finding may have significant implications for the management of patients with PDAC, and their relatives found to have a CDKN2A VUS.

Materials and methods

Cell lines

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PANC-1 (catalog no. CRL-1469), MIA PaCa-2 (catalog no. CRL-1420), and AsPC-1 (catalog no. CRL-1682), and the human embryonic kidney cell line 293T (catalog no. CRL-3216) were purchased from American Type Culture Collection (Manassas, VA). PANC-1, MIA PaCa-2, and 293T cells were maintained in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal bovine serum. AsPC-1 cells were maintained in RPMI-1640 supplemented with 10% fetal bovine serum. Cell line authentication and mycoplasma testing of PDAC cell lines was performed using GenePrint 10 System (Promega Corporation, Madison, WI; catalog no. B9510) and a PCR-based MycoDtect kit (Greiner Bio-One, Monroe, NC; catalog no. 463 060), respectively, by the Genetics Resource Core Facility of The Johns Hopkins University School of Medicine, Baltimore, MD.

Western blot

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Western blots were performed as previously described with the following modifications (Tamura, 2018): (1) anti-vinculin primary antibody was used at a 1:5000 dilution (Cell Signaling Technology, Beverly, MA; catalog no. 13901), (2) anti-CDKN2A primary antibody was used to detect p16^INK4A at a 1:1000 dilution (Cell Signaling Technology, Beverly, MA; catalog no. 92803). Western blotting data and images presented are representative of at least three independent experiments.

Plasmid construction

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pHAGE-CDKN2A (Addgene, plasmid no. 116726) and pHAGE-CDKN2A-L78Hfs*41 (Addgene, plasmid no. 116222) created by Gordon Mills & Kenneth Scott (Ng et al., 2018), and pLJM1-Empty (Addgene, plasmid no. 91980) created by Joshua Mendell (Golden et al., 2017) were obtained from Addgene (Watertown, MA). CDKN2A and CDKN2A-L78Hfs*41 cDNAs were subcloned into the pLJM1-Empty from pHAGE-CDKN2A and pHAGE-CDKN2A-L78Hfs*41, respectively, using the Q5 High-Fidelity PCR kit (New England Biolabs, Ipswich, MA; catalog no. E0555S) as previously described (Zhen et al., 2017). Primers used to subclone CDKN2A and CDKN2A-L78Hfs*41 cDNAs are given in Supplementary file 4. Integration of CDKN2A cDNA was confirmed by restriction enzyme digest using EcoRI-HF (New England Biolabs, Ipswich, MA; catalog no. R3101S) and Sanger sequencing (Genewiz, Plainsfield, NJ). Restriction enzyme, EcoRI-HF digest was performed with CutSmart Buffer (New England Biolabs, Ipswich, MA; catalog no. B7204S) at 37°C for 15 min. Expression constructs for each assayed CDKN2A variant were produced from the pLJM1-CDKN2A using the Q5 Site-Directed Mutagenesis kit (New England Biolabs, Ipswich, MA; catalog no. E0552). Primers used to generate each CDKN2A variant expression plasmids are given in Supplementary file 4. Integration of each CDKN2A VUS was confirmed using Sanger sequencing (Genewiz, Plainsfield, NJ). The manufacturer’s protocol was followed unless otherwise specified.

Lentivirus production and generation of CDKN2A expressing PANC-1 cells

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pLJM1 lentiviral expression vectors harboring a CDKN2A cDNA (WT or variant) and the lentiviral packaging vectors, psPAX2 (Addgene, plasmid no. 12260) and pCMV-VSV-G (Addgene, plasmid no. 8454), created by Didier Trono and Bob Weinberg, respectively (Stewart et al., 2003), were transfected into 293T cells using Lipofectamine 3000 transfection reagent (Thermo Fisher Scientific, Waltham, MA; catalog no. L3000008). Media was collected at 24 and 48 hr and lentiviral particles were concentrated with Lenti-X Concentrator (Clontech, Mountain View, CA; catalog no. 631231). Manufacturer’s protocols were used unless otherwise specified.

PANC-1, MIA PaCa-2, and AsPC-1 cells stably expressing WT CDKN2A (p16^INK4A) or selected variants were generated by lentiviral transduction. Briefly, 1 × 10⁵ cells were cultured in media supplemented with 10 µg/ml polybrene and transduced with 10 TUs/ml lentivirus particles. Cells were then centrifuged at 1200× g for 1 hr. After 48 hr of culture at 37°C and 5% CO₂, transduced cells were selected by culture in media containing 3 µg/ml puromycin for PANC-1 cells and 1 µg/ml puromycin for MIA PaCa-2 and AsPC-1 cells for 7 days.

Cell proliferation assay and functional characterization

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1 × 10⁵ PANC-1, MIA PaCa-2, and AsPC-1 cells were seeded into culture (day 0) and cell numbers were counted using a TC20 Automated Cell Counter (Bio-Rad Laboratories, Hercules, CA, catalog no. 1450102) on day 7 for MIAPaCa-2 cells, and day 14 for PANC-1 and AsPC-1 cells. Cell numbers were normalized to empty vector transduced cells to give a relative cell proliferation value. Assays to determine the functional effect of CDKN2A variants were repeated in triplicate. Mean cell proliferation value and standard deviation (s.d.) were calculated.

CDKN2A VUSs were functionally characterized into four categories: (1) deleterious, (2) potentially deleterious, (3) potentially neutral, and (4) neutral, based on the results of the cell proliferation assay using previously described methodology (Bouvet et al., 2019). Briefly, functionally deleterious was defined as cell proliferation values greater than the Z-score 95% CI upper limit calculated from benchmark pathogenic variants and benign variants. Functionally neutral was defined as proliferation values less than the Z-score 95% CI lower limit. Assayed variants with cell proliferation values between the thresholds for functionally deleterious and functionally neutral were characterized as potentially functionally deleterious or potentially functionally neutral if they had proliferation values above or below a cutoff determined by the ROC curve and Youden index.

Cell cycle analysis

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PANC-1 cells were incubated with 10 nM EdU for 2 hr, then harvested by trypsinization, washed, fixed, and stained using the Click-iT EdU Alexa Fluor 488 Flow Cytometry Assay Kit (Invitrogen, Carlsbad, CA, catalog no. C10425) and the FxCycle Violet Ready Flow Reagent (Invitrogen, catalog no. R37166) according to the manufacturer’s protocols. Flow cytometry was performed on Cytek Aurora Flow Cytometry System (Cytek Biosciences, Fremont, CA) and the data analyzed to determine the percentage of cells in each phase of the cell cycle using the FlowJo software (BD Biosciences, San Jose, CA).

Statistical analyses

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Statistical analyses were performed using JMP v.11 (SAS, Cary, NC) and Prism v.6 (GraphPad, San Diego, CA). Comparison of means used the Student’s t test. CIs for the prevalence of functionally deleterious CDKN2A variants were calculated using the modified Wald Method. A p-value less than 0.05 considered statistically significant.

Data availability

All data generated or analysed during this study are included in the manuscript, supporting files, and as Source data and Source code.

References

1. Bouvet D
2. Bodo S
3. Munier A
4. Guillerm E
5. Bertrand R
6. Colas C
7. Duval A
8. Coulet F
9. Muleris M
(2019) Methylation Tolerance-Based Functional Assay to Assess Variants of Unknown Significance in the MLH1 and MSH2 Genes and Identify Patients With Lynch Syndrome
Gastroenterology 157:421–431.

https://doi.org/10.1053/j.gastro.2019.03.071
- PubMed
- Google Scholar
1. Brand R
2. Borazanci E
3. Speare V
4. Dudley B
5. Karloski E
6. Peters MLB
7. Stobie L
8. Bahary N
9. Zeh H
10. Zureikat A
11. Hogg M
12. Lee K
13. Tsung A
14. Rhee J
15. Ohr J
16. Sun W
17. Lee J
18. Moser AJ
19. DeLeonardis K
20. Krejdovsky J
21. Dalton E
22. LaDuca H
23. Dolinsky J
24. Colvin A
25. Lim C
26. Black MH
27. Tung N
(2018) Prospective study of germline genetic testing in incident cases of pancreatic adenocarcinoma
Cancer 124:3520–3527.

https://doi.org/10.1002/cncr.31628
- PubMed
- Google Scholar
1. Caldas C
2. Hahn SA
3. da Costa LT
4. Redston MS
5. Schutte M
6. Seymour AB
7. Weinstein CL
8. Hruban RH
9. Yeo CJ
10. Kern SE
(1994) Frequent somatic mutations and homozygous deletions of the p16 (MTS1) gene in pancreatic adenocarcinoma
Nature Genetics 8:27–32.

https://doi.org/10.1038/ng0994-27
- PubMed
- Google Scholar
(2013) International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer
Gut 62:339–347.

https://doi.org/10.1136/gutjnl-2012-303108
- PubMed
- Google Scholar
1. Canto M.I
2. Almario JA
3. Schulick RD
4. Yeo CJ
5. Klein A
6. Blackford A
7. Shin EJ
8. Sanyal A
9. Yenokyan G
10. Lennon AM
11. Kamel IR
12. Fishman EK
13. Wolfgang C
14. Weiss M
15. Hruban RH
16. Goggins M
(2018) Risk of Neoplastic Progression in Individuals at High Risk for Pancreatic Cancer Undergoing Long-term Surveillance
Gastroenterology 155:740–751.

https://doi.org/10.1053/j.gastro.2018.05.035
- PubMed
- Google Scholar
1. Chaffee KG
2. Oberg AL
3. McWilliams RR
4. Majithia N
5. Allen BA
6. Kidd J
7. Singh N
8. Hartman AR
9. Wenstrup RJ
10. Petersen GM
(2018) Prevalence of Germline Mutations in Cancer Genes
Genetics in Medicine 20:119–127.

https://doi.org/10.1038/gim.2017.85.PREVALENCE
- Google Scholar
1. Chang MT
2. Asthana S
3. Gao SP
4. Lee BH
5. Chapman JS
6. Kandoth C
7. Gao JJ
8. Socci ND
9. Solit DB
10. Olshen AB
11. Schultz N
12. Taylor BS
(2016) Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity
Nature Biotechnology 34:155–163.

https://doi.org/10.1038/nbt.3391
- PubMed
- Google Scholar
1. Goggins M
2. Overbeek KA
3. Brand R
4. Syngal S
5. Del Chiaro M
6. Bartsch DK
7. Bassi C
8. Carrato A
9. Farrell J
10. Fishman EK
11. Fockens P
12. Gress TM
13. van Hooft JE
14. Hruban RH
15. Kastrinos F
16. Klein A
17. Lennon AM
18. Lucas A
19. Park W
20. Rustgi A
21. Simeone D
22. Stoffel E
23. Vasen HFA
24. Cahen DL
25. Canto MI
26. Bruno M
27. International Cancer of the Pancreas Screening (CAPS) consortium
(2020) Management of patients with increased risk for familial pancreatic cancer: updated recommendations from the International Cancer of the Pancreas Screening (CAPS) Consortium
Gut 69:7–17.

https://doi.org/10.1136/gutjnl-2019-319352
- PubMed
- Google Scholar
1. Golden RJ
2. Chen B
3. Li T
4. Braun J
5. Manjunath H
6. Chen X
7. Wu J
8. Schmid V
9. Chang TC
10. Kopp F
11. Ramirez-Martinez A
12. Tagliabracci VS
13. Chen ZJ
14. Xie Y
15. Mendell JT
(2017) An Argonaute phosphorylation cycle promotes microRNA-mediated silencing
Nature 542:197–202.

https://doi.org/10.1038/nature21025
- PubMed
- Google Scholar
1. Horn IP
2. Marks DL
3. Koenig AN
4. Hogenson TL
5. Almada LL
6. Goldstein LE
7. Romecin Duran PA
8. Vera R
9. Vrabel AM
10. Cui G
11. Rabe KG
12. Bamlet WR
13. Mer G
14. Sicotte H
15. Zhang C
16. Li H
17. Petersen GM
18. Fernandez-Zapico ME
(2021) A rare germline CDKN2A variant (47T>G; p16-L16R) predisposes carriers to pancreatic cancer by reducing cell cycle inhibition
The Journal of Biological Chemistry 296:100634.

https://doi.org/10.1016/j.jbc.2021.100634
- PubMed
- Google Scholar
1. Hu C
2. Hart SN
3. Polley EC
4. Gnanaolivu R
5. Shimelis H
6. Lee KY
7. Lilyquist J
8. Na J
9. Moore R
10. Antwi SO
11. Bamlet WR
12. Chaffee KG
13. DiCarlo J
14. Wu Z
15. Samara R
16. Kasi PM
17. McWilliams RR
18. Petersen GM
19. Couch FJ
(2018) Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer
JAMA 319:2401–2409.

https://doi.org/10.1001/jama.2018.6228
- PubMed
- Google Scholar
1. Jenkins NC
2. Jung J
3. Liu T
4. Wilde M
5. Holmen SL
6. Grossman D
(2013) Familial melanoma-associated mutations in p16 uncouple its tumor-suppressor functions
The Journal of Investigative Dermatology 133:1043–1051.

https://doi.org/10.1038/jid.2012.401
- PubMed
- Google Scholar
(2009) Functional, structural, and genetic evaluation of 20 CDKN2A germ line mutations identified in melanoma-prone families or patients
Human Mutation 30:564–574.

https://doi.org/10.1002/humu.20845
- PubMed
- Google Scholar
1. Kaufman B
2. Shapira-Frommer R
3. Schmutzler RK
4. Audeh MW
5. Friedlander M
6. Balmaña J
7. Mitchell G
8. Fried G
9. Stemmer SM
10. Hubert A
11. Rosengarten O
12. Steiner M
13. Loman N
14. Bowen K
15. Fielding A
16. Domchek SM
(2015) Olaparib monotherapy in patients with advanced cancer and a germline BRCA1/2 mutation
Journal of Clinical Oncology 33:244–250.

https://doi.org/10.1200/JCO.2014.56.2728
- PubMed
- Google Scholar
(2021) The Role of Inherited Pathogenic CDKN2A Variants in Susceptibility to Pancreatic Cancer
Pancreas 50:1123–1130.

https://doi.org/10.1097/MPA.0000000000001888
- PubMed
- Google Scholar
1. Le DT
2. Uram JN
3. Wang H
4. Bartlett BR
5. Kemberling H
6. Eyring AD
7. Skora AD
8. Luber BS
9. Azad NS
10. Laheru D
11. Biedrzycki B
12. Donehower RC
13. Zaheer A
14. Fisher GA
15. Crocenzi TS
16. Lee JJ
17. Duffy SM
18. Goldberg RM
19. de la Chapelle A
20. Koshiji M
21. Bhaijee F
22. Huebner T
23. Hruban RH
24. Wood LD
25. Cuka N
26. Pardoll DM
27. Papadopoulos N
28. Kinzler KW
29. Zhou S
30. Cornish TC
31. Taube JM
32. Anders RA
33. Eshleman JR
34. Vogelstein B
35. Diaz LA
(2015) PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
The New England Journal of Medicine 372:2509–2520.

https://doi.org/10.1056/NEJMoa1500596
- PubMed
- Google Scholar
1. Lowery MA
2. Wong W
3. Jordan EJ
4. Lee JW
5. Kemel Y
6. Vijai J
7. Mandelker D
8. Zehir A
9. Capanu M
10. Salo-Mullen E
11. Arnold AG
12. Yu KH
13. Varghese AM
14. Kelsen DP
15. Brenner R
16. Kaufmann E
17. Ravichandran V
18. Mukherjee S
19. Berger MF
20. Hyman DM
21. Klimstra DS
22. Abou-Alfa GK
23. Tjan C
24. Covington C
25. Maynard H
26. Allen PJ
27. Askan G
28. Leach SD
29. Iacobuzio-Donahue CA
30. Robson ME
31. Offit K
32. Stadler ZK
33. O’Reilly EM
(2018) Prospective Evaluation of Germline Alterations in Patients With Exocrine Pancreatic Neoplasms
Journal of the National Cancer Institute 110:1067–1074.

https://doi.org/10.1093/jnci/djy024
- PubMed
- Google Scholar
1. McWilliams RR
2. Wieben ED
3. Rabe KG
4. Pedersen KS
5. Wu Y
6. Sicotte H
7. Petersen GM
(2011) Prevalence of CDKN2A mutations in pancreatic cancer patients: implications for genetic counseling
European Journal of Human Genetics 19:472–478.

https://doi.org/10.1038/ejhg.2010.198
- PubMed
- Google Scholar
1. McWilliams RR
2. Wieben ED
3. Chaffee KG
4. Antwi SO
5. Raskin L
6. Olopade OI
7. Li D
8. Highsmith WE
9. Colon-Otero G
10. Khanna LG
11. Permuth JB
12. Olson JE
13. Frucht H
14. Genkinger J
15. Zheng W
16. Blot WJ
17. Wu L
18. Almada LL
19. Fernandez-Zapico ME
20. Sicotte H
21. Pedersen KS
22. Petersen GM
(2018) CDKN2A Germline Rare Coding Variants and Risk of Pancreatic Cancer in Minority Populations
Cancer Epidemiology, Biomarkers & Prevention 27:1364–1370.

https://doi.org/10.1158/1055-9965.EPI-17-1065
- PubMed
- Google Scholar
1. Miller PJ
2. Duraisamy S
3. Newell JA
4. Chan PA
5. Tie MM
6. Rogers AE
7. Ankuda CK
8. von Walstrom GM
9. Bond JP
10. Greenblatt MS
(2011) Classifying variants of CDKN2A using computational and laboratory studies
Human Mutation 32:900–911.

https://doi.org/10.1002/humu.21504
- PubMed
- Google Scholar
1. Ng PKS
2. Li J
3. Jeong KJ
4. Shao S
5. Chen H
6. Tsang YH
7. Sengupta S
8. Wang Z
9. Bhavana VH
10. Tran R
11. Soewito S
12. Minussi DC
13. Moreno D
14. Kong K
15. Dogruluk T
16. Lu H
17. Gao J
18. Tokheim C
19. Zhou DC
20. Johnson AM
21. Zeng J
22. Ip CKM
23. Ju Z
24. Wester M
25. Yu S
26. Li Y
27. Vellano CP
28. Schultz N
29. Karchin R
30. Ding L
31. Lu Y
32. Cheung LWT
33. Chen K
34. Shaw KR
35. Meric-Bernstam F
36. Scott KL
37. Yi S
38. Sahni N
39. Liang H
40. Mills GB
(2018) Systematic Functional Annotation of Somatic Mutations in Cancer
Cancer Cell 33:450–462.

https://doi.org/10.1016/j.ccell.2018.01.021
- PubMed
- Google Scholar
(2015) Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology
Genetics in Medicine 17:405–424.

https://doi.org/10.1038/gim.2015.30
- PubMed
- Google Scholar
1. Roberts NJ
2. Norris AL
3. Petersen GM
4. Bondy ML
5. Brand R
6. Gallinger S
7. Kurtz RC
8. Olson SH
9. Rustgi AK
10. Schwartz AG
11. Stoffel E
12. Syngal S
13. Zogopoulos G
14. Ali SZ
15. Axilbund J
16. Chaffee KG
17. Chen Y-C
18. Cote ML
19. Childs EJ
20. Douville C
21. Goes FS
22. Herman JM
23. Iacobuzio-Donahue C
24. Kramer M
25. Makohon-Moore A
26. McCombie RW
27. McMahon KW
28. Niknafs N
29. Parla J
30. Pirooznia M
31. Potash JB
32. Rhim AD
33. Smith AL
34. Wang Y
35. Wolfgang CL
36. Wood LD
37. Zandi PP
38. Goggins M
39. Karchin R
40. Eshleman JR
41. Papadopoulos N
42. Kinzler KW
43. Vogelstein B
44. Hruban RH
45. Klein AP
(2016) Whole Genome Sequencing Defines the Genetic Heterogeneity of Familial Pancreatic Cancer
Cancer Discovery 6:166–175.

https://doi.org/10.1158/2159-8290.CD-15-0402
- PubMed
- Google Scholar
(1993) A new regulatory motif in cell-cycle control causing specific inhibition of cyclin D/CDK4
Nature 366:704–707.

https://doi.org/10.1038/366704a0
- PubMed
- Google Scholar
1. Shindo K
2. Yu J
3. Suenaga M
4. Fesharakizadeh S
5. Cho C
6. Macgregor-Das A
7. Siddiqui A
8. Witmer PD
9. Tamura K
10. Song TJ
11. Navarro Almario JA
12. Brant A
13. Borges M
14. Ford M
15. Barkley T
16. He J
17. Weiss MJ
18. Wolfgang CL
19. Roberts NJ
20. Hruban RH
21. Klein AP
22. Goggins M
(2017) Deleterious Germline Mutations in Patients With Apparently Sporadic Pancreatic Adenocarcinoma
Journal of Clinical Oncology 35:3382–3390.

https://doi.org/10.1200/JCO.2017.72.3502
- PubMed
- Google Scholar
(2020) Cancer statistics, 2020
CA 70:7–30.

https://doi.org/10.3322/caac.21590
- PubMed
- Google Scholar
1. Singhi AD
2. George B
3. Greenbowe JR
4. Chung J
5. Suh J
6. Maitra A
7. Klempner SJ
8. Hendifar A
9. Milind JM
10. Golan T
11. Brand RE
12. Zureikat AH
13. Roy S
14. Schrock AB
15. Miller VA
16. Ross JS
17. Ali SM
18. Bahary N
(2019) Real-Time Targeted Genome Profile Analysis of Pancreatic Ductal Adenocarcinomas Identifies Genetic Alterations That Might Be Targeted With Existing Drugs or Used as Biomarkers
Gastroenterology 156:2242–2253.

https://doi.org/10.1053/j.gastro.2019.02.037
- PubMed
- Google Scholar
(2001) Non-random chromosomal rearrangements in pancreatic cancer cell lines identified by spectral karyotyping
International Journal of Cancer 91:350–358.

https://doi.org/10.1002/1097-0215(200002)9999:9999<::aid-ijc1049>3.3.co;2-3
- PubMed
- Google Scholar
1. Stewart SA
2. Dykxhoorn DM
3. Palliser D
4. Mizuno H
5. Yu EY
6. An DS
7. Sabatini DM
8. Chen ISY
9. Hahn WC
10. Sharp PA
11. Weinberg RA
12. Novina CD
(2003) Lentivirus-delivered stable gene silencing by RNAi in primary cells
RNA 9:493–501.

https://doi.org/10.1261/rna.2192803
- PubMed
- Google Scholar
1. Stoffel EM
2. McKernin SE
3. Brand R
4. Canto M
5. Goggins M
6. Moravek C
7. Nagarajan A
8. Petersen GM
9. Simeone DM
10. Yurgelun M
11. Khorana AA
(2019) Evaluating Susceptibility to Pancreatic Cancer: ASCO Provisional Clinical Opinion
Journal of Clinical Oncology 37:153–164.

https://doi.org/10.1200/JCO.18.01489
- PubMed
- Google Scholar
1. Tamura K
(2018) Mutations in the pancreatic secretory enzymes CPA1 and CPB1 are associated with pancreatic cancer
PNAS 115:4767–4772.

https://doi.org/10.1073/pnas.1720588115
- Google Scholar
1. Vasen H
2. Ibrahim I
3. Ponce CG
4. Slater EP
5. Matthäi E
6. Carrato A
7. Earl J
8. Robbers K
9. van Mil AM
10. Potjer T
11. Bonsing BA
12. de Vos Tot Nederveen Cappel WH
13. Bergman W
14. Wasser M
15. Morreau H
16. Klöppel G
17. Schicker C
18. Steinkamp M
19. Figiel J
20. Esposito I
21. Mocci E
22. Vazquez-Sequeiros E
23. Sanjuanbenito A
24. Muñoz-Beltran M
25. Montans J
26. Langer P
27. Fendrich V
28. Bartsch DK
(2016) Benefit of Surveillance for Pancreatic Cancer in High-Risk Individuals: Outcome of Long-Term Prospective Follow-Up Studies From Three European Expert Centers
Journal of Clinical Oncology 34:2010–2019.

https://doi.org/10.1200/JCO.2015.64.0730
- PubMed
- Google Scholar
1. Yakobson E
2. Shemesh P
3. Azizi E
4. Winkler E
5. Lassam N
6. Hogg D
7. Brookes S
8. Peters G
9. Lotem M
10. Zlotogorski A
11. Landau M
12. Safro M
13. Shafir R
14. Friedman E
15. Peretz H
(2000) Two p16 (CDKN2A) germline mutations in 30 Israeli melanoma families
European Journal of Human Genetics 8:590–596.

https://doi.org/10.1038/sj.ejhg.5200505
- PubMed
- Google Scholar
1. Yamato T
2. Furukawa T
(2001) SMAD4 genes in 15 human pancreatic cancer cell lines
Oncology Reports 8:89–92.

https://doi.org/10.3892/or.8.1.89
- Google Scholar
1. Zhen DB
2. Rabe KG
3. Gallinger S
4. Syngal S
5. Schwartz AG
6. Goggins MG
7. Hruban RH
8. Cote ML
9. McWilliams RR
10. Roberts NJ
11. Cannon-Albright LA
12. Li D
13. Moyes K
14. Wenstrup RJ
15. Hartman A-R
16. Seminara D
17. Klein AP
18. Petersen GM
(2015) BRCA1, BRCA2, PALB2, and CDKN2A mutations in familial pancreatic cancer: a PACGENE study
Genetics in Medicine 17:569–577.

https://doi.org/10.1038/gim.2014.153
- PubMed
- Google Scholar
1. Zhen Z
2. Liu J
3. Rensing C
4. Yan C
5. Zhang Y
(2017) Effects of two different high-fidelity DNA polymerases on genetic analysis of the cyanobacterial community structure in a subtropical deep freshwater reservoir
Archives of Microbiology 199:125–134.

https://doi.org/10.1007/s00203-016-1284-7
- PubMed
- Google Scholar

Article and author information

Author details

Hirokazu Kimura

The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States

Contribution
Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing

Competing interests
No competing interests declared
Raymond M Paranal
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Human Genetics Predoctoral Training Program, the McKusick-Nathans Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, United States
Contribution
Conceptualization, Formal analysis, Investigation, Methodology, Resources, Validation, Visualization, Writing – original draft, Writing – review and editing
Neha Nanda

The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States

Contribution
Validation

Competing interests
No competing interests declared
Laura D Wood
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, United States
Contribution
Investigation, Resources, Validation, Writing – review and editing

Competing interests
No competing interests declared
James R Eshleman
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, United States
3. Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
Contribution
Resources, Writing – review and editing

Competing interests
No competing interests declared
Ralph H Hruban
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, United States
Contribution
Resources, Writing – review and editing

Competing interests
RHH has the right to receive royalty payments from Thrive Earlier Diagnosis for the GNAS in pancreatic cysts invention in a relationship overseen by Johns Hopkins University
Michael G Goggins
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, United States
Contribution
Resources, Writing – review and editing

Competing interests
No competing interests declared
Alison P Klein
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, United States
3. Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, United States
Contribution
Resources, Writing – review and editing

Competing interests
No competing interests declared
The Familial Pancreatic Cancer Genome Sequencing Project

Contribution
Resources, Writing – review and editing

Competing interests
No competing interests declared
1. Randall Brand, Department of Medicine, University of Pittsburgh, Pittsburgh, United States
2. Michele L Cote, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, United States
3. Mengmeng Du, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, United States
4. James R Eshleman, The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, United States
5. Steven Gallinger, Ontario Institute for Cancer Research, Toronto, Canada
6. Michael Goggins, The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, United States
7. Ralph H Hruban, The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, United States
8. Alison P Klein, The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, United States
9. Robert C Kurtz, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, United States
10. Gloria M Petersen, Department of Health Sciences Research, Mayo Clinic, Rochester, United States
11. Nicholas J Roberts, The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, United States
12. Anil K Rustgi, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, United States
13. Ann G Schwartz, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, United States
14. Elena M Stoffel, Department of Internal Medicine, University of Michigan, Ann Arbor, United States
15. Sapna Syngal, Dana-Farber Cancer Institute and Harvard Medical School, Boston, United States
16. George Zogopoulos, The Research Institute of the McGill University Health Centre, Quebec, Canada
Nicholas J Roberts
1. The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University, Baltimore, United States
2. Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, United States
Contribution
Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review and editing

For correspondence
nrobert8@jhmi.edu

Competing interests
No competing interests declared

"This ORCID iD identifies the author of this article:" 0000-0002-8709-0664

Funding

The Sol Goldman Pancreatic Cancer Research Center (Pilot Grant)

Nicholas Jason Roberts

The Rolfe Pancreatic Cancer Foundation

Nicholas Jason Roberts

National Institutes of Health (P50 CA622924)

Alison P Klein

The Japanese Society of Gastroenterology

Hirokazu Kimura

The Japan Society for Promotion of Science

Hirokazu Kimura

The Joseph C Monastra Foundation

Nicholas Jason Roberts

The Geral O Mann Foundation

Nicholas Jason Roberts

Art Creates Cures Foundation

Nicholas Jason Roberts

Susan Wojcicki and Denis Troper

Nicholas Jason Roberts

National Institutes of Health (S10 OD026859)

Nicholas Jason Roberts

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

The authors would like to thank to Dr Xiaoling Zhang at The Johns Hopkins University School of Medicine Ross Flow Cytometry Core Facility for technical assistance. Data used in this article were obtained from the Familial Pancreatic Cancer Genome Sequencing Project (FPC-GSP; https://www.familialpancreaticcancer.org). The FPC-GSP investigators contributed to the design and implementation of FPC-GSP and/or provided data. They did not participate in analysis or writing of this report. The FPC-GSP project was generously supported by Dennis Troper and Susan Wojcicki, the Lustgarten Foundation for Pancreatic Cancer Research, the Sol Goldman Pancreatic Cancer Research Center, the Virginia and DK Ludwig Fund for Cancer Research, the Michael Rolfe Foundation, the Joseph C Monastra Foundation, the Gerald O Mann Charitable Foundation, the Ladies Auxiliary to the Veterans of Foreign Wars, the friends and family of Roger L Kerns Sr, the Weston Garfield Foundation, the NIH Specialized Programs of Research Excellence P30CA006973 and P50CA102701, and NIH grants K99-CA190889, R01-CA57345, R01-CA97075, R01-CA154823, and R01-DK060694.

Copyright

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.