Background: Pathogenic germline mutations in the CDKN2A tumor suppressor gene are rare and associated with highly penetrant familial melanoma and pancreatic cancer in non-Hispanic whites (NHW). To date, the prevalence and impact of CDKN2A rare coding variants (RCV) in racial minority groups remain poorly characterized. We examined the role of CDKN2A RCVs on the risk of pancreatic cancer among minority subjects.

Methods: We sequenced CDKN2A in 220 African American (AA) pancreatic cancer cases, 900 noncancer AA controls, and 183 Nigerian controls. RCV frequencies were determined for each group and compared with that of 1,537 NHW patients with pancreatic cancer. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for both a case–case comparison of RCV frequencies in AAs versus NHWs, and case–control comparison between AA cases versus noncancer AA controls plus Nigerian controls. Smaller sets of Hispanic and Native American cases and controls also were sequenced.

Results: One novel missense RCV and one novel frameshift RCV were found among AA patients: 400G>A and 258_278del. RCV carrier status was associated with increased risk of pancreatic cancer among AA cases (11/220; OR, 3.3; 95% CI, 1.5–7.1; P = 0.004) compared with AA and Nigerian controls (17/1,083). Further, AA cases had higher frequency of RCVs: 5.0% (OR, 13.4; 95% CI, 4.9–36.7; P < 0.001) compared with NHW cases (0.4%).

Conclusions:CDKN2A RCVs are more common in AA than in NHW patients with pancreatic cancer and associated with moderately increased pancreatic cancer risk among AAs.

Impact: RCVs in CDKN2A are frequent in AAs and are associated with risk for pancreatic cancer. Cancer Epidemiol Biomarkers Prev; 27(11); 1364–70. ©2018 AACR.

Pancreatic cancer, especially pancreatic ductal adenocarcinoma, is a highly lethal cancer with 1-year and 5-year survival rates of 26% and 8%, respectively (1). Long-term survival with pancreatic cancer is generally dependent on resection of an early-stage tumor. However, early detection of pancreatic cancer is uncommon, with only 20% of all patients found to have localized disease at the time of diagnosis (1). African Americans (AAs) consistently have a higher incidence of pancreatic cancer and poorer survival after diagnosis compared with non-Hispanic whites (NHWs; ref. 1). AAs also tend to present with more advanced-stage cancer at diagnosis (2). Reasons for the higher incidence of pancreatic cancer among AAs are not completely clear. Known epidemiologic risk factors, such as obesity and tobacco smoking, do not fully explain the excess risk of pancreatic cancer among AAs (3). It is therefore plausible that the higher incidence of pancreatic cancer among AAs may be due in part to inherited genetic predisposition.

It is well established that risks for pancreatic cancer and melanoma are increased in families of the cyclin-dependent kinase inhibitor 2A gene (CDKN2A) germline mutation carriers (4–8). In general, melanoma occurs primarily in NHWs, with an annual incidence rate of 32.3 per 100,000 men and 20.0 per 100,000 women in the United States, which is far in excess of that observed among AAs (1.0 per 100,000 in males and females), Hispanics (4.8 per 100,000 males and 4.6 per 100,000 females), or Native Americans (4.1 per 100,000 males and 4.0 per 100,000 females; ref. 9). The prevalence of CDKN2A RCVs among NHWs with melanoma is approximately 20% to 57% in melanoma-prone families (10), but the prevalence is only about 1% to 2% among unselected patients with a single melanoma diagnosis in their families (11). The penetrance estimates for melanoma among NHW CDKN2A mutation carriers is 28% by age 80 years (12), and for pancreatic cancer approximately 58% by age 80 (13). Somatic mutations and loss of p16 expression are commonly found in cutaneous malignant melanoma (14, 15). Similarly, somatic alterations (including mutations, loss of heterozygosity, and hypermethylation) in CDKN2A have been reported in up to 95% of pancreatic tumors, underscoring the importance of this gene in pancreatic tumorigenesis (16).

Thus, our objective was to elucidate the role of pathogenic germline rare coding variants (RCV) of CDKN2A in relation to pancreatic cancer risk in minority groups. There are major challenges to the study of germline CDKN2A RCVs in pancreatic cancer because of (i) the requirement for rapid case ascertainment to obtain biospecimens suitable for genetic analysis due to the poor prognosis of pancreatic cancer (17), (ii) the anticipated low frequency of deleterious RCVs (13), (iii) the lower absolute numbers of AA, Hispanic, and Native American pancreatic cancer patients (18), and (iv) the perennially low participation rates of minority groups in clinical research (14, 15, 19). To overcome these challenges, we performed a pooled analysis of individual-level data from 12 centers to investigate the role of pathogenic CDKN2A RCVs in incident pancreatic cancer.

Patient recruitment

This study was reviewed and approved by the Mayo Clinic institutional review board (IRB), as well as IRBs of all collaborating centers. Risk factor questionnaires or medical record surveys were used by each site to solicit self-reported information on participants' race and ethnicity. Lymphocyte DNA or DNA from buccal cells obtained from patients with histologically or clinically documented pancreatic ductal adenocarcinoma were provided by investigators from the following research registries: Mayo Clinic Biospecimen Resource for Pancreas Research (20, 21) at all three Mayo Clinic campuses (MN, AZ, and FL), The University of Texas MD Anderson Cancer Center (MD Anderson Cancer Center; 22), the H. Lee Moffitt Cancer Center, and the Vanderbilt-Ingram Cancer Center (23, 24). Germline DNA was extracted from surgically resected normal tissue of pancreatic cancer patients from Columbia University. Control subjects were identified from (i) deidentified healthy AAs who underwent clinical testing for cystic fibrosis in Rochester, MN (25), (ii) a convenience sample of AAs recruited through a church-based study in Jacksonville, FL (26), (iii) the Mayo Clinic BioBank in Rochester, MN (27), (iv) a large breast cancer control group including Chicago-area AAs (28), (v) Native Nigerians (29), (vi) the MD Anderson Cancer Center (22), (vii) the H. Lee Moffitt Cancer Center, and (viii) the Southern Community Cohort Study at the Vanderbilt-Ingram Cancer Center (23, 24). All cases and controls were recruited prospectively except the Columbia patients and the samples from Mayo Clinic Laboratory Medicine, which were retrospective. The study sample was comprised of pancreatic cancer cases and noncancer controls of NHW, AA, Nigerian, Hispanic, and Native American races/ethnicities.

Compliance with ethical standards.

Written informed consent was obtained from all participants. The study was approved by the Mayo Clinic IRB.

Sequencing

All DNA samples were shipped to the Mayo Clinic Genome Analysis Core for analyses. Sanger sequencing was performed as previously described in detail (13, 30). Resequencing of the four exons of the CDKN2A gene, including three exons of CDKN2A isoform 1 (NM_000077) and exon 1 of CDKN2A isoform 4 (NM_058195), was performed. Primer sets for polymerase chain reactions (PCR) were designed using the web-based design tool Primer 3 software (version 0.4.0). Intronic primers covering sequences of interest were designed at least 30 bp away from the intron–exon boundaries of the gene. PCRs were carried out using AmpliTaq Gold DNA Polymerase (Applied Biosystems) following the manufacturer's protocol. After PCR reactions, the amplicons were treated with the ExoSAP-IT (USB Corp) to degrade unincorporated PCR primers and deoxynucleotide triphosphates. The cleaned products were mixed with 5 picomoles of the forward or reverse PCR primers for sequencing. DNA sequence variants were identified using PolyPhred (31).

Variant calling and in silico analysis

Each potential coding variant identified was investigated and classified as polymorphic (nonpathogenic) or high impact (deleterious or probably damaging), affecting protein coding of p16 or p14ARF, excluding known polymorphisms (e.g., A148T). We used available online databases for determination of variant frequency in populations, along with identification of prior reports of variants, including exome sequencing project (ESP; ref. 32), the catalog of somatic mutations in cancer (COSMIC; ref. 33), the University of Vermont CDKN2A gene database (UVM Biodesktop; ref. 34), dbSNP (35), the gnomAD database (36), the genoMEL paper (10), the CDKN2A LOVD database (August 31, 2016, version; ref. 37), and ClinVar (38). Using the cDNA position and amino acid change, a thorough literature search was performed to determine whether variants had previously been reported in cancer kindreds, in melanoma or pancreatic cancer patients, or in functional studies of CDKN2A (10, 39–48). In silico descriptive analyses were performed with SIFT (49) and PolyPhen2 (50) for the variants identified (insertions/deletions assumed deleterious by those tools are not annotated) when available but were not used for the final determination of variant status due to their imperfect specificity (51).

Statistical analysis

The pancreatic cancer patients and noncancer controls were classified based on whether they carried at least one nonsynonymous or frameshift RCV in CDKN2A. Race/ethnicity was determined by self-report. Variants previously determined to be polymorphic (≥1%) in the above-cited publicly available databases were excluded from the analysis. Differences in demographic characteristics were compared among the racial/ethnic groups using Kruskal–Wallis test for continuous variables and Fisher exact test for categorical variables. Odds ratios (OR) and 95% confidence intervals (CI) were calculated by comparing the proportion of RCV carriers among the pancreatic cancer cases with the proportion of carriers among the noncancer controls in each minority group (i.e., AAs only, AAs plus Nigerians, Hispanics, and Native Americans). We also performed case–case comparison by comparing proportion of carriers among NHW cases (referent groups; ref. 13) versus proportion of carriers among cases in each of the minority groups. All statistical tests were two sided and were considered significant at the α = 0.05 level. Analyses were performed in SAS version 9.4 (SAS Institute). Population-attributable risk was estimated as the difference in incidence rates between the AAs and NHWs divided by incidence in the AAs. Approximations from previously published studies of prevalence and SEER incidence rates were used.

Biospecimens and epidemiologic and sequencing data used in the present study originated from 12 hospital-based and population-based studies. Table 1 presents the design, source population, and participant characteristics, including age, sex, and race or ethnicity, for each of the participating centers. In total, the study included 220 AA pancreatic cancer cases and 900 healthy AA controls, 183 healthy Nigerian controls, 119 Hispanic cases and 58 healthy Hispanic controls, 11 Native American cases and 20 healthy Native American controls, and 1,537 NHW pancreatic cancer cases.

Table 1.

Sources of case and control subjects in study, race and ethnicity, median age, and sex

CenterType of study; case statusOriginSubjects (N)Median age (range)Sex (% male)
African/African American 
Columbia University Medical Center Case series Hospital—U.S. 69 (36–86) 29 
H. Lee Moffitt Cancer Center Case–control; cases Hospital—U.S. 15 59 (38–82) 40 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 48 62.5 (38–89) 42 
MD Anderson Cancer Center Case–control; cases Hospital—U.S. 52 61.5 (37–80) 48 
Vanderbilt University Cohort; cases Population-based—southern U.S. 98 58 (40–79) 48 
H. Lee Moffitt Cancer Center Case–control; controls Hospital—U.S. 15 60 (37–79) 40 
Mayo Clinic Laboratory Medicine Clinical biorepository; controls Referral lab 191 – – 
Mayo Clinic BioBank Cohort; controls Olmsted County, MN 80 48 (21–82) 44 
Mayo Clinic MGUS Study Cohort; controls Jacksonville, FL 118 57.5 (37–91) 28 
MD Anderson Cancer Center Case–control; controls Hospital—U.S. 25 55 (36–82) 48 
University of Chicago Case–Control; controls Chicago, IL 185 56 (27–95) 
University of Chicago Case–control; controls Nigeria 183 59 (37–100) 
Vanderbilt University Cohort; controls Population-based—southern U.S. 286 58 (40–79) 49 
Hispanic 
Columbia University Medical Center Case series Hospital—U.S. 20 62 (53–83) 45 
H. Lee Moffitt Cancer Center Case–control; cases Hospital—U.S. 53 (39–65) 50 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 31 60 (20–88) 58 
MD Anderson Cancer Center Case–control; cases Hospital—U.S. 62 61 (40–79) 53 
H. Lee Moffitt Cancer Center Case–control; controls Hospital—U.S. 53.5 (39–64) 50 
MD Anderson Cancer Center Case–control; controls Hospital—U.S. 49 53 (38–78) 61 
Mayo Clinic MGUS Study Cohort; controls Jacksonville, FL 50 (46–56) 100 
Native American 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 53 (44–69) 56 
MD Anderson Cancer Center Case–control; cases Hospital—U.S. 62.5 (62–63) 50 
Mayo Clinic BioBank Cohort; controls Olmsted County, MN 20 57.5 (25–85) 40 
Non-Hispanic white 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 1,537 65.5 (28–91) 56 
CenterType of study; case statusOriginSubjects (N)Median age (range)Sex (% male)
African/African American 
Columbia University Medical Center Case series Hospital—U.S. 69 (36–86) 29 
H. Lee Moffitt Cancer Center Case–control; cases Hospital—U.S. 15 59 (38–82) 40 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 48 62.5 (38–89) 42 
MD Anderson Cancer Center Case–control; cases Hospital—U.S. 52 61.5 (37–80) 48 
Vanderbilt University Cohort; cases Population-based—southern U.S. 98 58 (40–79) 48 
H. Lee Moffitt Cancer Center Case–control; controls Hospital—U.S. 15 60 (37–79) 40 
Mayo Clinic Laboratory Medicine Clinical biorepository; controls Referral lab 191 – – 
Mayo Clinic BioBank Cohort; controls Olmsted County, MN 80 48 (21–82) 44 
Mayo Clinic MGUS Study Cohort; controls Jacksonville, FL 118 57.5 (37–91) 28 
MD Anderson Cancer Center Case–control; controls Hospital—U.S. 25 55 (36–82) 48 
University of Chicago Case–Control; controls Chicago, IL 185 56 (27–95) 
University of Chicago Case–control; controls Nigeria 183 59 (37–100) 
Vanderbilt University Cohort; controls Population-based—southern U.S. 286 58 (40–79) 49 
Hispanic 
Columbia University Medical Center Case series Hospital—U.S. 20 62 (53–83) 45 
H. Lee Moffitt Cancer Center Case–control; cases Hospital—U.S. 53 (39–65) 50 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 31 60 (20–88) 58 
MD Anderson Cancer Center Case–control; cases Hospital—U.S. 62 61 (40–79) 53 
H. Lee Moffitt Cancer Center Case–control; controls Hospital—U.S. 53.5 (39–64) 50 
MD Anderson Cancer Center Case–control; controls Hospital—U.S. 49 53 (38–78) 61 
Mayo Clinic MGUS Study Cohort; controls Jacksonville, FL 50 (46–56) 100 
Native American 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 53 (44–69) 56 
MD Anderson Cancer Center Case–control; cases Hospital—U.S. 62.5 (62–63) 50 
Mayo Clinic BioBank Cohort; controls Olmsted County, MN 20 57.5 (25–85) 40 
Non-Hispanic white 
Mayo Clinic Pancreas Biospecimen Resource Case–control; cases Clinic—U.S. 1,537 65.5 (28–91) 56 

Abbreviation: MGUS, monoclonal gammopathy of undetermined significance.

Supplementary Table S1 summarizes the RCVs found in each race or ethnic group. Some variants are not reported, if they appeared to be polymorphisms, defined a priori as presence in 1% or more in publicly available databases. The RCVs were classified as deleterious, probably damaging, or possibly damaging/tolerated based on SIFT and PolyPhen designation. We found five novel RCVs: 3 missense variants exon 1B:c.116A>G, exon 2: c.192G>C, exon 2:c.400G>A, and two frameshift variants on exon 2:(c.258_278del) and exon 2:c.280dupC. Two of these RCVs were unique to the 220 AA pancreatic cancer patients only: c258_278del and c.400G>A, two were RCVs found in our 900 AA controls only: 116A>G and 280dupC. One other novel RCV was found in the 1,537 NHW pancreatic cancer cases. Among the pancreatic cancer cases, RCV frequencies were highest among Native Americans (1/11; 9.1%), followed by AAs (11/220; 5.0%) and Hispanics (4/119; 3.4%), and lowest among NHWs (6/1,537; 0.4%; Table 2). Among the healthy controls, RCV frequencies were highest in AAs (16/900; 1.8%) followed by Nigerians (1/183; 0.5%). No RCV was found among healthy controls of Hispanic and Native American ancestry (Table 2). Two AA cases and two AA controls carried multiple RCVs. Phase was not determined.

Table 2.

Frequency of CDKN2A RCV carriers among population samples of pancreatic cancer cases and controls by race and ethnicity, and RCV frequencies

APancreatic cancer casesHealthy controlsCases vs. controls
GroupN carriers/N tested (%)N carriers/N tested (%)OR (95% CI)P value
African American and African Nigeria controls (combined) 11/220 (5.0) 17/1,083 (1.6) 3.3 (1.5–7.1) 0.004 
 • African American 11/220 (5.0) 16/900 (1.8) 2.9 (1.3–6.4) 0.005 
 • African—Nigeriaa — 1/183 (0.5) —  
Hispanic 4/119 (3.4) 0/58 (0) 4.6 (0.2–86.1) 0.30 
Native American 1/11 (9.1) 0/20 (0) 5.9 (0.2–156.6) 0.35 
B  Pancreatic cancer cases Minority cases vs. NHW cases  
Group  N carriers/N tested (%) OR (95% CI) P value 
NHW  6/1,537 (0.4) Reference – 
African American  11/220 (5.0) 13.4 (4.9–36.7) <0.001 
Hispanic  4/119 (3.4) 8.9 (2.5–31.9) 0.004 
Native American  1/11 (9.1) 25.5 (2.8–231.8) 0.048 
APancreatic cancer casesHealthy controlsCases vs. controls
GroupN carriers/N tested (%)N carriers/N tested (%)OR (95% CI)P value
African American and African Nigeria controls (combined) 11/220 (5.0) 17/1,083 (1.6) 3.3 (1.5–7.1) 0.004 
 • African American 11/220 (5.0) 16/900 (1.8) 2.9 (1.3–6.4) 0.005 
 • African—Nigeriaa — 1/183 (0.5) —  
Hispanic 4/119 (3.4) 0/58 (0) 4.6 (0.2–86.1) 0.30 
Native American 1/11 (9.1) 0/20 (0) 5.9 (0.2–156.6) 0.35 
B  Pancreatic cancer cases Minority cases vs. NHW cases  
Group  N carriers/N tested (%) OR (95% CI) P value 
NHW  6/1,537 (0.4) Reference – 
African American  11/220 (5.0) 13.4 (4.9–36.7) <0.001 
Hispanic  4/119 (3.4) 8.9 (2.5–31.9) 0.004 
Native American  1/11 (9.1) 25.5 (2.8–231.8) 0.048 

NOTE: ORs, 95% CIs, and P values are reported for (A) case–case comparison between NHW cases versus cases in the racial minority groups, and (B) comparisons between pancreatic cancer cases versus controls by in each race or ethnic group.

aData were not available for Nigerian pancreatic cancer cases.

We performed case–control analyses within each race/ethnicity and found higher RCV prevalence among AA pancreatic cancer cases compared with AA controls (OR, 2.9; 95% CI, 1.3–6.4, P = 0.005). The RCV prevalence estimate among the AA cases increased slightly when the Nigerian controls were combined with AA controls and used as the comparison group (OR, 3.3; 95% CI, 1.5–7.1, P = 0.004; Table 2A). After exclusion of variants predicted by SIFT or PolyPhen to be benign/tolerated, the association remained significant (10/220 AA cases vs. 15/1083 AA controls; OR, 3.4; 95% CI, 1.5–7.6, P = 0.005). Adjustment for age, smoking status (ever/never), and diabetes (yes/no) further increased the observed association (OR, 4.3; 95% CI, 1.5–12.2, P, 0.006). ORs for comparison of RCV prevalence between Hispanic cases and controls (OR, 4.6; 95% CI, 0.2–86.1, P = 0.30) and between Native American cases and controls (OR, 5.9; 95% CI, 0.2–156.6, P = 0.35) did not differ significantly, likely due to the small numbers of cases and controls in these groups.

We further performed a case–case comparison of RCV frequencies among pancreatic cancer cases in the NHW sample (referent group) with RCV frequencies among AA cases, Hispanic cases, and Native American cases. Compared with NHW pancreatic cancer cases, AA pancreatic cancer cases had higher RCV prevalence (OR, 13.4; 95% CI, 4.9–36.7, P < 0.001), as did Hispanic cases (OR, 8.9; 95% CI, 2.5–31.9, P = 0.004), and Native American cases (OR, 25.5, 95% CI 2.8–231.8, P = 0.048; Table 2B). Because of the known potential contributions of splice-site and upstream variants to disease risk, we also performed an ancillary analysis comparing frequency of these RCVs among NHW pancreatic cancer patients (0.9%) with that of pancreatic cancer patients in the minority groups. We found higher RCV prevalence among the AA (5.9%, OR, 6.8; 95% CI, 3.2–14.7, P < 0.001), Hispanic (6.7%, OR, 7.8; 95% CI, 3.2–19.1, P < 0.001), and Native American (9.1%, OR, 10.9; 95% CI, 1.3–90.8, P = 0.006) pancreatic cancer patients, although no statistically significant differences were observed in comparisons by minority group (Supplementary Table S2).

By assuming (i) a 1.8% prevalence of CDKN2A RCVs in AAs; (ii) a 0.1% prevalence of CDKN2A RCVs in NHWs (assuming a lower prevalence than the 0.4% reported in NHW cases); (iii) a pancreatic cancer incidence rate about 5% to 7% higher in AAs than in NHWs; and (iv) the current SEER pancreatic cancer rates for AAs (15.5/100,000) and NHWs (12.7/100,000) or 22% higher for AAs, we estimate that the CDKN2A RCVs may account for approximately one fourth of the excess risk of pancreatic cancer in AAs.

We had previously reported that 4 of 9 (44%) and 2 of 9 (22%) of NHW carriers had a family history of pancreatic cancer and malignant melanoma, respectively (13). Among 11 AA pancreatic cancer cases who carried an RCV in CDKN2A, 7 had family history information available. One carrier (14.3%) reported pancreatic cancer diagnosis in a first-degree relative compared with 6.3% of 111 AA cases without a RCV detected who had family history data available (P = 0.40). No family history of melanoma was reported among the 7 AA RCV carriers, and one family history of melanoma was reported among the 88 noncarriers. The mean age at diagnosis of pancreatic cancer was similar among AA CDKN2A RCV carriers and noncarriers (58.5 years vs. 60.6, P = 0.66), and these ages are similar to those reported for NHW (13). We also found in our Hispanic pancreatic cancer cases that none of the 4 carriers and 3 of 112 noncarriers had a positive family history of pancreatic cancer and no cases reported a family history of melanoma. Among our Native American cases, no family history of either pancreatic cancer or melanoma was reported.

We report the first collaborative study of germline CDKN2A variation among samples of subjects who are non-white. We discovered that high-impact CDKN2A RCVs are more common in persons of African descent and are associated with increased risk for pancreatic cancer. The frequencies of RCVs are in striking contrast to that those NHW pancreatic cancer patients, among whom we had previously identified only 0.4% as mutation carriers (13). The ORs of 2.9 to 3.3 seen in AA subjects are much less than the relative risk of 46.6 (95% CI, 24.7–76.4) of pancreatic cancer reported for the highly penetrant Leiden CDKN2A founder mutation (52), but more similar in magnitude to the moderate 2- to 4-fold risk for breast cancer in NHW conferred by mutations in CHEK2, ATM, PALB2, and NBS1, all with allele frequencies in the general population of ∼1% (53).

The aggregate high frequency of RCVs identified in AA pancreatic cancer cases and controls may potentially be explained by evolutionary/population genetic considerations. First, CDKN2A is thought primarily to function as a melanoma tumor suppressor gene. It is well established that individuals with darker skin (due to higher melanin concentration), including AAs, have lower risk of developing skin cancer and melanoma in the presence of ultraviolet radiation (54, 55). It stands to reason that any selection against variation would be minimized in populations with low incidence of melanoma (i.e., relaxed selection in African populations vs. whites). In contrast, any potential selection pressure through pancreatic cancer is unlikely to affect reproductive success, given its median age of onset above 70 years. Secondly, African populations are evolutionarily the most ancestral among humans (56, 57); therefore, one might postulate that the existence of any given gene variation may be expected to be higher in this population than others. However, an exome sequencing study of 1,351 persons of European ancestry and 1,088 persons of African ancestry suggested that most RCVs are evolutionarily recent. Further, among likely functional SNVs, the proportions of rare and intermediate frequency variants per individual are higher among African ancestry individuals compared with those of European ancestry (58).

In our study, five identified RCVs of CDKN2A are novel, which may reflect the understudied nature of this gene in non-white populations. Interestingly, the higher frequencies seen in AAs are comparable with a recent report of high RCV frequencies identified in 225 Italian pancreatic cancer families (31%) and sporadic (5.7%) patients (59). Similarly, in a study among Greek melanoma patients, germline RCVs were identified in 3.3% of 304 sporadic melanoma patients and 22% of familial melanoma kindreds (60). We observed a relatively high frequency of RCVs in Native Americans and Hispanics with pancreatic cancer, but not among corresponding controls. We acknowledge this may be an artifact because of smaller sample sizes, but they are suggestive of high CDKN2A RCV frequencies in these groups and require validation in larger samples.

Our results permit a limited estimate of the impact of the CDKN2A gene on risk of pancreatic cancer among AAs. Given our observed 1.8% prevalence of CDKN2A RCVs in the general population of AAs, and inferring a prevalence of 0.1% in the general population of NHWs (prevalence of 0.4% was found among NHW pancreatic cancer cases in this study), and a 3- to 4-fold increase in pancreatic cancer risk associated with CDKN2A RCVs, AAs would be expected have a pancreatic cancer incidence rate about 5% to 7% higher than NHWs due to variation in the CDKN2A gene. Furthermore, with the current SEER pancreatic cancer incidence rates of 15.5 per 100,000 for AAs and 12.7 per 100,000 for NHWs (i.e., 22% higher for AAs; ref. 61), CDKN2A may account for about one fourth of the excess pancreatic cancer risk in AAs.

CDKN2A is a cell-cycle gene that encodes two different proteins, p16 and p14ARF (62–64). P16 (exons 1B, 2, and 3) regulates progression through the G1 cell-cycle checkpoint by inhibiting CDK4/6 and subsequently preventing downstream phosphorylation of the retinoblastoma protein (pRb), which affects downstream inhibition of E2F, a transcription factor (62). P14ARF (exons 1A and 2) inhibits mdm2, which stabilizes p53 (63), and exerts a downstream regulatory effect on transcription of genes involved in the G1–S checkpoint (64). Both p16 and p14 appear to suppress tumorigenesis (62, 63).

This is the largest study of CDKN2A gene RCVs and pancreatic cancer risk conducted to date among minority groups, an important strength of a multicenter consortium effort. However, our study has some limitations, including the potential heterogeneity of sample sets from diverse centers. Given the relative rarity of minority patients, ascertainment was limited to convenience samples, including controls. Because not all centers contributed data and biospecimens on both cases and controls, we were unable to adjust for other established risk factors such as smoking, family history, diabetes, and obesity in the logistic regression analyses; this should be considered in the interpretation of findings. Genetically, there is always a difficulty with determining the functional role of missense variants such as those identified in this study. We excluded all known polymorphic variants, but the challenges of in silico analysis of RCVs are well known (51). Our findings merit further study concerning quantifying the absolute risk for cancer among single and compound RCV carriers, not only for pancreatic cancer, but also for other malignancies such as melanoma, head/neck cancer, and bladder cancer. The clinical application of CDKN2A RCV status will require more comprehensive studies of risk and outcomes. The underlying biologic implications of relaxed or even positive selection for CDKN2A germline variants and the role of environmental factors, such as sun exposure, vitamin D receptor status and deficiency, will be vital to further our understanding of any disease role of CDKN2A among different populations. Moreover, CDKN2A RCVs may have therapeutic implications. Commonly mutated in somatic pancreatic tumors (16), CDKN2A's transcript p16 inhibits CDK4, a key function of cell-cycle regulation in pancreatic cancer (65) and CDK4/6 inhibitors have demonstrated strong activity in breast cancer (66), with recent FDA approvals of palbociclib and ribociclib, and some early evidence of activity of CDK4/6 inhibition in pancreatic cancer is emerging (67). Whether this or other screening or treatment strategies emerge related to CDKN2A RCVs, biological differences among diverse populations may have a great impact on precision medicine.

Conclusions

RCVs in CDKN2A are substantially more common among AAs than among NHW. RCVs among persons of African descent are of moderate penetrance, conferring a 3.3-fold increased risk for pancreatic cancer and may partially account for some excess risk of pancreatic cancer among AAs.

L. Raskin is a senior manager at Amgen. O.I. Olopade has ownership interest (including stock, patents, etc.) in CancerIQ and Tempus. G. Colon-Otero reports receiving a commercial research grant from Novartis. No potential conflicts of interest were disclosed by the other authors.

Conception and design: R.R. McWilliams, M.E. Fernandez-Zapico, K.S. Pedersen, G.M. Petersen

Development of methodology: R.R. McWilliams, E.D. Wieben, H. Sicotte, G.M. Petersen

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): R.R. McWilliams, E.D. Wieben, L. Raskin, O.I. Olopade, D. Li, W.E. Highsmith Jr, G. Colon-Otero, L.G. Khanna, J.B. Permuth, J.E. Olson, H. Frucht, J. Genkinger, W. Zheng, W.J. Blot, G.M. Petersen

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): R.R. McWilliams, E.D. Wieben, K.G. Chaffee, S.O. Antwi, D. Li, G. Colon-Otero, J. Genkinger, L. Wu, M.E. Fernandez-Zapico, H. Sicotte, G.M. Petersen

Writing, review, and/or revision of the manuscript: R.R. McWilliams, E.D. Wieben, K.G. Chaffee, S.O. Antwi, L. Raskin, O.I. Olopade, D. Li, W.E. Highsmith Jr, G. Colon-Otero, L.G. Khanna, J.B. Permuth, J.E. Olson, H. Frucht, J. Genkinger, L. Wu, L.L. Almada, M.E. Fernandez-Zapico, H. Sicotte, K.S. Pedersen, G.M. Petersen

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): K.G. Chaffee, S.O. Antwi, O.I. Olopade, H. Frucht, J. Genkinger, L.L. Almada

Study supervision: R.R. McWilliams, G. Colon-Otero, G.M. Petersen

This study was supported by NIH grants P50 CA102701 (G.M. Petersen), R01 CA97075 (G.M. Petersen), R01 CA208517 (G.M. Petersen), R25T CA92049 (G.M. Petersen), P30 CA076292 (J. Permuth), CA98380-05 (D. Li), K07 116303 (R.R. McWilliams,), R01 CA092447 (G.M. Petersen), and U01 CA202979 (G.M. Petersen), and the Sheikh Ahmed Center for Pancreatic Cancer Research Funds, MD Anderson Cancer Center.

The authors thank the participants in this study and project team members Ryan Wuertz, Jodie Cogswell, Bridget Eversman, Traci Hammer, Megan Reichmann, Mary Karaus, Ryan Frank, Que Luu, William Bamlet, MS, Ann Oberg, Ph.D., Monica Albertie, M.H.A. (MD Anderson Cancer Center, Columbia University, and University of Chicago staff). The Mayo Clinic BioBank (principal investigators: Janet Olson, Ph.D., and James Cerhan, Ph.D.) is supported by the Mayo Clinic Center for Individualized Medicine. H. Lee Moffitt Cancer Center specimens and data were collected through the Total Cancer Care Protocol, and work was supported in part by the Information Shared Services and Tissue Core Facilities. The authors honor the memory of the late W. Edward Highsmith Jr, PhD.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Janes
RH
 Jr
,
Niederhuber
JE
,
Chmiel
JS
,
Winchester
DP
,
Ocwieja
KC
,
Karnell
JH
, et al
National patterns of care for pancreatic cancer. Results of a survey by the commission on cancer
.
Ann Surg
1996
;
223
:
261
72
.
2.
Chang
KJ
,
Welton
M
,
Robb
SW
. 
Risk of pancreatic adenocarcinoma: disparity between African Americans and other race/ethnic groups
.
Cancer
2005
;
103
:
349
57
.
3.
Arnold
LD
,
Patel
AV
,
Yan
Y
,
Jacobs
EJ
,
Thun
MJ
,
Calle
EE
, et al
Are racial disparities in pancreatic cancer explained by smoking and overweight/obesity?
Cancer Epidemiol Biomarkers Prev
2009
;
18
:
2397
405
.
4.
Gruis
NA
,
Sandkuijl
LA
,
van der Velden
PA
,
Bergman
W
,
Frants
RR
. 
CDKN2 explains part of the clinical phenotype in Dutch familial atypical multiple-mole melanoma (FAMMM) syndrome families
.
Melanoma Res
1995
;
5
:
169
77
.
5.
Whelan
AJ
,
Bartsch
D
,
Goodfellow
PJ
. 
Brief report: a familial syndrome of pancreatic cancer and melanoma with a mutation in the CDKN2 tumor-suppressor gene
.
N Engl J Med
1995
;
333
:
975
7
.
6.
Ghiorzo
P
,
Pastorino
L
,
Bonelli
L
,
Cusano
R
,
Nicora
A
,
Zupo
S
, et al
INK4/ARF germline alterations in pancreatic cancer patients
.
Ann Oncol
2004
;
15
:
70
8
.
7.
Soufir
N
,
Lacapere
JJ
,
Bertrand
G
,
Matichard
E
,
Meziani
R
,
Mirebeau
D
, et al
Germline mutations of the INK4a-ARF gene in patients with suspected genetic predisposition to melanoma
.
Br J Cancer
2004
;
90
:
503
9
.
8.
Bishop
DT
,
Demenais
F
,
Goldstein
AM
,
Bergman
W
,
Bishop
JN
,
Bressac-de Paillerets
B
, et al
Geographical variation in the penetrance of CDKN2A mutations for melanoma
.
J Natl Cancer Inst
2002
;
94
:
894
903
.
9.
Setiawan
VW
,
Stram
DO
,
Nomura
AM
,
Kolonel
LN
,
Henderson
BE
. 
Risk factors for renal cell cancer: the multiethnic cohort
.
Am J Epidemiol
2007
;
166
:
932
40
.
10.
Goldstein
AM
,
Chan
M
,
Harland
M
,
Hayward
NK
,
Demenais
F
,
Bishop
DT
, et al
Features associated with germline CDKN2A mutations: a GenoMEL study of melanoma-prone families from three continents
.
J Med Genet
2007
;
44
:
99
106
.
11.
Berwick
M
,
Orlow
I
,
Hummer
AJ
,
Armstrong
BK
,
Kricker
A
,
Marrett
LD
, et al
The Prevalence of CDKN2A germ-line mutations and relative risk for cutaneous malignant melanoma: an international population-based study
.
Cancer Epidemiol Biomark Prev
2006
;
15
:
1520
1525
.
12.
Begg
CB
,
Orlow
I
,
Hummer
AJ
,
Armstrong
BK
,
Kricker
A
,
Marrett
LD
, et al
Lifetime risk of melanoma in CDKN2A mutation carriers in a population-based sample
.
J Natl Cancer Inst
2005
;
97
:
1507
1515
.
13.
McWilliams
RR
,
Wieben
ED
,
Rabe
KG
,
Pedersen
KS
,
Wu
Y
,
Sicotte
H
, et al
Prevalence of CDKN2A mutations in pancreatic cancer patients: implications for genetic counseling
.
Eur J Hum Genet
2011
;
19
:
472
8
.
14.
Adams-Campbell
LL
,
Ahaghotu
C
,
Gaskins
M
,
Dawkins
FW
,
Smoot
D
,
Polk
OD
, et al
Enrollment of African Americans onto clinical treatment trials: study design barriers
.
J Clin Oncol
2004
;
22
:
730
4
.
15.
Murthy
VH
,
Krumholz
HM
,
Gross
CP
. 
Participation in cancer clinical trials: race-, sex-, and age-based disparities
.
JAMA
2004
;
291
:
2720
6
.
16.
Caldas
C
,
Hahn
SA
,
da Costa
LT
,
Redston
MS
,
Schutte
M
,
Seymour
AB
, et al
Frequent somatic mutations and homozygous deletions of the p16 (MTS1) gene in pancreatic adenocarcinoma
.
Nat Genet
1994
;
8
:
27
32
.
Erratum in: Nat Genet 1994;8:410
.
17.
The Mayo Clinic Specialized Program of Research Excellence (SPORE) in Pancreatic Cancer
. 
2015
.
Available from:
http://www.mayo.edu/research/centers-programs/cancer-research/research-programs/gastrointestinal-cancer-program/mayo-clinic-pancreatic-cancer-spore.
18.
Olson
SH
,
Layne
TM
,
Simon
JA
,
Ludwig
E
,
O'Reilly
E
,
Allen
PJ
, et al
Studying cancer in minorities
.
Cancer
2011
;
117
:
2762
2769
.
19.
LaVallie
DL
,
Wolf
FM
,
Jacobsen
C
,
Buchwald
D
. 
Barriers to cancer clinical trial participation among native elders
.
Ethn Dis
2008
;
18
:
210
7
.
20.
McWilliams
RR
,
Rabe
KG
,
Olswold
C
,
De Andrade
M
,
Petersen
GM
. 
Risk of malignancy in first-degree relatives of patients with pancreatic carcinoma
.
Cancer
2005
;
104
:
388
94
.
21.
Antwi
SO
,
Oberg
AL
,
Shivappa
N
,
Bamlet
WR
,
Chaffee
KG
,
Steck
SE
, et al
Pancreatic cancer: associations of inflammatory potential of diet, cigarette smoking and long-standing diabetes
.
Carcinogenesis
2016
;
37
:
481
90
.
22.
Li
D
,
Morris
JS
,
Liu
J
,
Hassan
MM
,
Day
RS
,
Bondy
ML
, et al
Body mass index and risk, age of onset, and survival in pancreatic cancer patients
.
JAMA
2009
;
301
:
2553
62
.
23.
Signorello
LB
,
Hargreaves
MK
,
Blot
WJ
. 
The southern community cohort study: investigating health disparities
.
J Health Care Poor Underserved
2010
;
21
:
26
37
.
24.
Signorello
LB
,
Hargreaves
MK
,
Steinwandel
MD
,
Zheng
W
,
Cai
Q
,
Schlundt
DG
, et al
Southern community cohort study: establishing a cohort to investigate health disparities
.
J Natl Med Assoc
2005
;
97
:
972
9
.
25.
McWilliams
RR
,
Petersen
GM
,
Rabe
KG
,
Holtegaard
LM
,
Lynch
PJ
,
Bishop
MD
, et al
Cystic fibrosis transmembrane conductance regulator (CFTR) gene mutations and risk for pancreatic adenocarcinoma
.
Cancer
2010
;
116
:
203
9
.
26.
Colon-Otero
G
,
Albertie
M
,
Lesperance
M
,
Weis
JA
,
Coles
W
,
Smith
N
, et al
A pilot program in collaboration with African American churches successfully increases awareness of the importance of cancer research and participation in cancer translational research studies among African Americans
.
J Cancer Educ
2012
;
27
:
294
8
.
27.
Olson
JE
,
Ryu
E
,
Johnson
KJ
,
Koenig
BA
,
Maschke
KJ
,
Morrisette
JA
, et al
The Mayo Clinic biobank: a building block for individualized medicine
.
Mayo Clin Proc
2013
;
88
:
952
62
.
28.
Stacey
SN
,
Sulem
P
,
Zanon
C
,
Gudjonsson
SA
,
Thorleifsson
G
,
Helgason
A
, et al
Ancestry-shift refinement mapping of the C6orf97-ESR1 breast cancer susceptibility locus
.
PLoS Genet
2010
;
6
:
e1001029
.
29.
Fackenthal
JD
,
Zhang
J
,
Zhang
B
,
Zheng
Y
,
Hagos
F
,
Burrill
DR
, et al
High prevalence of BRCA1 and BRCA2 mutations in unselected Nigerian breast cancer patients
.
Int J Cancer
2012
;
131
:
1114
23
.
30.
Sanger
F
,
Nicklen
S
,
Coulson
AR
. 
DNA sequencing with chain-terminating inhibitors
.
Proc Natl Acad Sci U S A
1977
;
74
:
5463
7
.
31.
Nickerson
DA
,
Tobe
VO
,
Taylor
SL
. 
PolyPhred: automating the detection and genotyping of single nucleotide substitutions using fluorescence-based resequencing
.
Nucleic Acids Res
1997
;
25
:
2745
51
.
32.
Nickerson
DA
.
NHLBI grand opportunity exome sequencing project (ESP)
. 
[March 5, 2013]
;
Available from:
https://esp.gs.washington.edu/drupal/executive.
33.
Bamford
S
,
Dawson
E
,
Forbes
S
,
Clements
J
,
Pettett
R
,
Dogan
A
, et al
The COSMIC (catalogue of somatic mutations in cancer) database and website
.
Br J Cancer
2004
;
91
:
355
8
.
34.
Murphy
JA
,
Barrantes-Reynolds
R
,
Kocherlakota
R
,
Bond
JP
,
Greenblatt
MS
. 
The CDKN2A database: integrating allelic variants with evolution, structure, function, and disease association
.
Hum Mutat
2004
;
24
:
296
304
.
35.
Sherry
ST
,
Ward
MH
,
Kholodov
M
,
Baker
J
,
Phan
L
,
Smigielski
EM
, et al
dbSNP: the NCBI database of genetic variation
.
Nucleic Acids Res
2001
;
29
:
308
11
.
36.
Lek
M
,
Karczewski
KJ
,
Minikel
EV
,
Samocha
KE
,
Banks
E
,
Fennell
T
, et al
Analysis of protein-coding genetic variation in 60,706 humans
.
Nature
2016
;
536
:
285
.
37.
Fokkema
IF
,
Taschner
PE
,
Schaafsma
GC
,
Celli
J
,
Laros
JF
,
den Dunnen
JT
. 
LOVD v.2.0: the next generation in gene variant databases
.
Hum Mutat
2011
;
32
:
557
63
.
38.
Landrum
MJ
,
Lee
JM
,
Benson
M
,
Brown
GR
,
Chao
C
,
Chitipiralla
S
, et al
ClinVar: improving access to variant interpretations and supporting evidence
.
Nucleic Acids Res
2018
;
46
:
D1062
7
.
39.
Kreimer-Erlacher
H
,
Seidl
H
,
Bäck
B
,
Cerroni
L
,
Kerl
H
,
Wolf
P
. 
High frequency of ultraviolet mutations at the INK4a-ARF locus in squamous cell carcinomas from psoralen-plus-ultraviolet-A-treated psoriasis patients
.
J Invest Dermatol
2003
;
120
:
676
82
.
40.
Kiwerska
K
,
Rydzanicz
M
,
Kram
A
,
Pastok
M
,
Antkowiak
A
,
Domagała
W
, et al
Mutational analysis of CDKN2A gene in a group of 390 larynx cancer patients
.
Mol Biol Rep
2010
;
37
:
325
32
.
41.
Imai
Y
,
Tsurutani
N
,
Oda
H
,
Nakatsuru
Y
,
Inoue
T
,
Ishikawa
T
. 
p16INK4 gene mutations are relatively frequent in ampullary carcinomas
.
Japanese J Cancer Res
1997
;
88
:
941
6
.
42.
Milde-Langosch
K
,
Ocon
E
,
Becker
G
,
Löning
T
. 
p16/MTS1 inactivation in ovarian carcinomas: high frequency of reduced protein expression associated with hyper-methylation or mutation in endometrioid and mucinous tumors
.
Int J Cancer
1998
;
79
:
61
5
.
43.
Huang
L
,
Goodrow
TL
,
Zhang
SY
,
Klein-Szanto
AJ
,
Chang
H
,
Ruggeri
BA
. 
Deletion and mutation analyses of the P16/MTS-1 tumor suppressor gene in human ductal pancreatic cancer reveals a higher frequency of abnormalities in tumor-derived cell lines than in primary ductal adenocarcinomas
.
Cancer Res
1996
;
56
:
1137
41
.
44.
Ruas
M
,
Peters
G
. 
The p16INK4a/CDKN2A tumor suppressor and its relatives
.
Biochim Biophys Acta
1998
;
1378
:
F115
77
.
45.
Gamieldien
W
,
Victor
TC
,
Mugwanya
D
,
Stepien
A
,
Gelderblom
WCA
,
Marasas
WFO
, et al
p53 and p16/CDKN2 gene mutations in esophageal tumors from a high-incidence area in South Africa
.
Int J Cancer
1998
;
78
:
544
9
.
46.
Vinarsky
V
,
Fine
RL
,
Assaad
A
,
Qian
Y
,
Chabot
JA
,
Su
GH
, et al
Head and neck squamous cell carcinoma in FAMMM syndrome
.
Head Neck
2009
;
31
:
1524
7
.
47.
Yakobson
E
,
Shemesh
P
,
Azizi
E
,
Winkler
E
,
Lassam
N
,
Hogg
D
, et al
Two p16 (CDKN2A) germline mutations in 30 Israeli melanoma families
.
Eur J Hum Genet
2000
;
8
:
590
6
.
48.
Ichikawa
Y
,
Yoshida
S
,
Koyama
Y
,
Hirai
M
,
Ishikawa
T
,
Nishida
M
, et al
Inactivation of p16/CDKN2 and p15/MTS2 genes in different histological types and clinical stages of primary ovarian tumors
.
Int J Cancer
1996
;
69
:
466
70
.
49.
Ng
PC
,
Henikoff
S
. 
Predicting deleterious amino acid substitutions
.
Genome Res
2001
;
11
:
863
74
.
50.
Adzhubei
I
,
Jordan
DM
,
Sunyaev
SR
. 
Predicting functional effect of human missense mutations using PolyPhen-2
.
Curr Protoc Hum Genet
2013
;
Chapter 7
:
Unit7.20
.
51.
Flanagan
SE
,
Patch
AM
,
Ellard
S
. 
Using SIFT and PolyPhen to predict loss-of-function and gain-of-function mutations
.
Genet Test Mol Biomark
2010
;
14
:
533
7
.
52.
de Snoo
FA
,
Bishop
DT
,
Bergman
W
,
van Leeuwen
I
,
van der Drift
C
,
van Nieuwpoort
FA
, et al
Increased risk of cancer other than melanoma in CDKN2A founder mutation (p16-Leiden)-positive melanoma families
.
Clin Cancer Res
2008
;
14
:
7151
7
.
53.
Hollestelle
A
,
Wasielewski
M
,
Martens
JW
,
Schutte
M
. 
Discovering moderate-risk breast cancer susceptibility genes
.
Curr Opin Genet Develop
2010
;
20
:
268
76
.
54.
Elwood
JM
,
Gallagher
RP
,
Hill
GB
,
Spinelli
JJ
,
Pearson
JC
,
Threlfall
W
. 
Pigmentation and skin reaction to sun as risk factors for cutaneous melanoma: Western Canada Melanoma Study
.
Br Med J (Clin Res Ed)
1984
;
288
:
99
102
.
55.
Eide
MJ
,
Weinstock
MA
. 
Association of UV index, latitude, and melanoma incidence in nonwhite populations–US surveillance, epidemiology, and end results (SEER) program, 1992 to 2001
.
Arch Dermatol
2005
;
141
:
477
81
.
56.
Tishkoff
SA
,
Reed
FA
,
Friedlaender
FR
,
Ehret
C
,
Ranciaro
A
,
Froment
A
, et al
The genetic structure and history of Africans and African Americans
.
Science
2009
;
324
:
1035
44
.
57.
Gomez
F
,
Hirbo
J
,
Tishkoff
SA
. 
Genetic variation and adaptation in Africa: implications for human evolution and disease
.
Cold Spring Harbor Perspect Biol
2014
;
6
:
a008524
.
58.
Tennessen
JA
,
Bigham
AW
,
O'Connor
TD
,
Fu
W
,
Kenny
EE
,
Gravel
S
, et al
Evolution and functional impact of rare coding variation from deep sequencing of human exomes
.
Science
2012
;
337
:
64
9
.
59.
Ghiorzo
P
,
Fornarini
G
,
Sciallero
S
,
Battistuzzi
L
,
Belli
F
,
Bernard
L
, et al
CDKN2A is the main susceptibility gene in Italian pancreatic cancer families
.
J Med Genet
2012
;
49
:
164
70
.
60.
Nikolaou
V
,
Kang
X
,
Stratigos
A
,
Gogas
H
,
Latorre
MC
,
Gabree
M
, et al
Comprehensive mutational analysis of CDKN2A and CDK4 in Greek patients with cutaneous melanoma
.
Br J Dermatol
2011
;
165
:
1219
22
.
61.
American Cancer Society
. 
Cancer Facts & Figures 2017
.
Atlanta
:
American Cancer Society
; 
2017
.
62.
Lukas
J
,
Parry
D
,
Aagaard
L
,
Mann
DJ
,
Bartkova
J
,
Strauss
M
, et al
Retinoblastoma-protein-dependent cell-cycle inhibition by the tumour suppressor p16
.
Nature
1995
;
375
:
503
6
.
63.
Llanos
S
,
Clark
PA
,
Rowe
J
,
Peters
G
. 
Stabilization of p53 by p14ARF without relocation of MDM2 to the nucleolus
.
Nat Cell Biol
2001
;
3
:
445
52
.
64.
Kuerbitz
SJ
,
Plunkett
BS
,
Walsh
WV
,
Kastan
MB
. 
Wild-type p53 is a cell cycle checkpoint determinant following irradiation
.
PNAS
1992
;
89
:
7491
5
.
65.
Shapiro
GI
,
Edwards
CD
,
Rollins
BJ
. 
The physiology of p16(INK4A)-mediated G1 proliferative arrest
.
Cell Biochem Biophys
2000
;
33
:
189
97
.
66.
DeMichele
A
,
Clark
AS
,
Tan
KS
,
Heitjan
DF
,
Gramlich
K
,
Gallagher
M
, et al
CDK 4/6 inhibitor palbociclib (PD0332991) in Rb+ advanced breast cancer: phase II activity, safety, and predictive biomarker assessment
.
Clin Cancer Res
2014
.
67.
Franco
J
,
Witkiewicz
AK
,
Knudsen
ES
. 
CDK4/6 inhibitors have potent activity in combination with pathway selective therapeutic agents in models of pancreatic cancer
.
Oncotarget
2014
;
5
:
6512
25
.