Literature DB >> 35534218

Germline pathogenic variants in unselected Korean men with prostate cancer.

Min-Kyung So1, Hyun Kyu Ahn2, Jungwon Huh1, Kwang Hyun Kim3.   

Abstract

PURPOSE: Prostate cancer is one of the most heritable cancers and prostate cancer with germline mutations is associated with aggressive features and a poor prognosis. We investigated germline variants in unselected Korean men with prostate cancer.
MATERIALS AND METHODS: In this study, we prospectively collected buccal swab DNA from 120 unselected Korean men with prostate cancer, and performed massively parallel sequencing. Identified germline variants were interpreted according to the American College of Medical Genetics and Genomics/Association for Molecular Pathology 2015 guidelines.
RESULTS: Of the 120 patients, 30 had regional or metastatic disease and 10, 34, 25, and 21 patients were categorized as having low, intermediate, high, or very high-risk disease, respectively. Of the 88 germline variants, 6 pathologic or likely pathogenic variants were identified in 7 patients (5.8%) with BRCA2 (1.7%), HOXB13 (1.7%), PALB2 (0.8%), ATM (0.8%), and MSH2 (0.8%). Of 7 patients, 2 possessed intermediate risk disease that was not included in the recommendation for genetic testing. We identified the Gly132Glu variant, which was different from the Gly84Glu variant of the HOXB13 gene in Western populations.
CONCLUSIONS: This study presents the first analysis of germline variants in unselected Korean men with prostate cancer. Our results showed comparable germline prevalence with previous studies and provides evidence for the necessity of genetic testing in Korean men with prostate cancer. © The Korean Urological Association.

Entities:  

Keywords:  Genetic testing; Germ-line mutation; High-throughput nucleotide sequencing; Prostatic neoplasms

Mesh:

Year:  2022        PMID: 35534218      PMCID: PMC9091831          DOI: 10.4111/icu.20220044

Source DB:  PubMed          Journal:  Investig Clin Urol        ISSN: 2466-0493


INTRODUCTION

Prostate cancer is one of the most heritable cancers [12]. Epidemiological studies show an increased risk of prostate cancer in men with a family history [34]. Furthermore, a family history is associated with early onset prostate cancer and a high risk for clinically significant prostate cancer [25]. Prostate cancer is also implicated with other familial cancer syndromes such as hereditary breast and ovarian cancer syndrome and Lynch syndrome. Alterations in homologous DNA repair genes and DNA mismatch repair genes are recognized as a major hallmark for these syndromes [67]. Recent studies with regard to the genetic landscape of prostate cancer have shown a significant proportion of prostate cancers with alterations in these genes [8910]. In particular, prostate cancer patients with germline mutations in these genes have yielded aggressive and advanced disease and are associated with a poor prognosis [101112]. Growing evidence suggests the importance of germline variants in the early diagnosis of significant prostate cancer and the role of genetic testing for prostate cancer is increasing. Genetic testing can guide personalized treatment, screening for potentially lethal prostate cancer, and provide information with regard to the hereditary cancer risk for men and their relatives. Current guidelines recommend genetic testing for men with high risk or metastatic prostate cancer as well as men with a family history of hereditary prostate cancer using a multi-gene panel including at least BRCA2, BRCA1, ATM, CHEK2, PALB2, MLH1, MSH2, MSH6, and PMS [13]. However, the guidelines of genetic testing for prostate cancer are mainly based on data from Caucasian populations. Epidemiologic and genomic differences exist between Asian and Western men [1415]. Currently, research on germline variants in Asian men with prostate cancer is scarce. Although few studies have investigated germline variants in Japanese and Chinese patients, there is no published data for Korean men with prostate cancer. More evidence is needed for an implementation of genetic testing for prostate cancer in Asian men. In this study, we investigated germline variants in unselected Korean men with prostate cancer using a targeted gene panel. We evaluated the significance of germline variants according to the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) 2015 guidelines. To the best of our knowledge, this is the first study on germline variants in Korean men with prostate cancer.

MATERIALS AND METHODS

1. Study population, sample collection

From June 2020 to October 2020, we prospectively enrolled 120 unselected patients with prostate cancer who visited the outpatient clinic; this study was also approved by the Institutional Review Board of Ewha Womans University Seoul Hospital (IRB no. 2020-02-003). The study protocol was carried out in accordance with the Declaration of Helsinki Guidelines. Participants received detailed information and provided written informed consent for genetic testing. Clinicopathologic data, family history, and buccal cells by cotton swab for germline DNA extraction were collected from all participants.

2. Target capture sequencing and sequencing data analysis

For germline variants analysis, we designed a targeted gene panel that included ATM, APC, BRCA1, BRCA2, BRIP1, CHEK2, HOXB13, MLH1, MSH2, MSH6, MUTYH, NBN, PALB2, PMS2, RAD50, and TP53. These genes were selected based on NCCN guidelines and previous studies [13161718]. DNA was extracted from buccal swabs using a QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions. Genomic DNA was sheared and handled for Illumina sequencing through the following steps: end-repair, A-tailing, adapter ligation, and amplification for the indexed library. Prepared DNA and capture probes were hybridized to capture target regions including all coding sequences and their intron-exon boundary regions from the selected 16 genes through the use of a Celemics target enrichment kit (Celemics, Seoul, Korea). Captured regions were then further amplified by post-polymerase chain reaction (PCR) to enrich the amount of sample. The captured libraries were then sequenced on an Illumina NextSeq500 instrument (Illumina, San Diego, CA, USA) and applying the read layout 2×150 bp. The raw FASTQ file was adapter-trimmed using Adaptor removal 2.2.2. Reads were aligned to the human reference genome sequence GRCh37 using Burrows-Wheeler aligner (version 0.7.10). Genome Analysis Toolkit (version 4.0.4.0) was used to perform a Base quality score re-calibration. Samtools mpileup was used to create an mpileup file with a minimum base-quality of 17. Variant calling was carried using Varscan (version 2.4.0). We set the minimum variant frequency to 1%, minimum coverage to 8, minimum supporting reads to 2, and applied a strand-filter.

3. Variant interpretation

The classification of each variant followed ACMG/AMP 2015 guidelines [19] and all variants were classified into five tiers: pathogenic variant, likely pathogenic variant, variants of uncertain significance, likely benign variants, and benign variants (pathogenic variant [PV], likely pathogenic variant [LPV], variant of unknown significance [VUS], likely benign variant [LBV], and benign variant [BV]). Briefly, the criteria applied to classify variants in this study included that all variants with population frequencies above 5% in the Genome Aggregation Database (gnomAD; https://gnomad.broadinstitute.org/) or the Korean Reference Genome Database (KRGDB; http://152.99.75.168:9090/KRGDB) were excluded as benign variants. The remaining variants were further classified according to their pathogenicity and the previously mentioned guidelines [19]. The gnomAD and KRGDB were large population databases that used the minor allele frequency (MAF) of maximum continental population (expect Jewish and Finish) to classify the population frequencies of candidate variants. Considering the prevalence and penetrance of prostate cancer, strong evidence for a benign classification was applied when the population frequency of the candidate variants was above MAF 0.03%. As an exception, the benign strong evidence code was applied above MAF 0.3% for MUTYH because its mode of inheritance is autosomal recessive. Regarding pathogenic evidence from the population databases, only variants that were not found in the population data of both gnomAD and KRGDB provided evidence of moderate pathogenic strength. Furthermore, the variants found in an allele in gnomAD but not in KRGDB provided pathogenic evidence of supporting strength. We used two predicting tools, REVEL and SpliceAI. The REVEL score, an amino acid meta-predictor, was publicly obtained from the open-access website of Varsome (https://varsome.com/) or from gnomAD. For splice effect prediction, a SpliceAI score was obtained from the SpliceAI website (https://spliceailookup.broadinstitute.org/). When discovering evidence regarding the effect of a null variant in a gene with a loss-of-function mechanism, we followed a specific reference for interpreting the loss of function [20]. Other possible evidential criteria including functional studies or segregation data were applied to each candidate variant based on the literature and reference papers reported in ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/) or the Human Gene Mutation Database (Professional release 2021.2).

4. Sanger sequencing of the variant in MSH2

The variant (c.1160_1166delinsCATAA) in MSH2 was a novel variant classified as LPV; we conducted Sanger sequencing to exclude the possibility of a false-positive variant. The variant in MSH2 was investigated by PCR using primers MSH2-F (5′-AGA TGC AGA ATT GAG GCA GAC T-3′) and MSH2-F (5′-TCA TGT TTT TCC AGA GCC TGT-3′) (primer concentration 10 µM). A Go Taq polymerase (cat. no. M3001; Promega, Madison, WI, USA) was used with the following amplification conditions: heating for 2 minutes at 95℃, followed by 38 cycles at 95℃ for 20 seconds, 56℃ for 30 seconds, and 72℃ for 30 seconds, followed by 72℃ for 5 minutes. The MSH2 PCR products (171 bp) were sequenced.

RESULTS

1. Sample information

Patient characteristics are summarized in Table 1. The median age was 71 and 9 patients were younger than 60. Thirty patients had regional or metastatic disease. Of the 90 patients with localized disease, 10, 34, 25, and 21 patients were categorized as having low, intermediate, high, or very high-risk disease according to NCCN guidelines [13]. Nine patients had a family history of prostate cancer in their first degree, but none were diagnosed with prostate cancer before age 60.
Table 1

Clinicopathological characteristics of Korean prostate cancer patients

CharacteristicPatient
Age (y)71 (64–77)
Prostate specific antigen at diagnosis (ng/mL)11.3 (7.2–30.6)
Gleason score
610 (8.3)
753 (44.2)
8–1057 (47.5)
Stage
Localized90 (75.0)
Reginal lymph node18 (15.0)
Distant metastasis12 (10.0)
Initial treatment
Radical prostatectomy87 (72.5)
Radiotherapy16 (13.3)
Hormonal therapy15 (12.5)
Active surveillance2 (1.7)
Family history of cancer
1st degree with prostate cancer9 (7.5)
2nd degree with prostate cancer2 (1.7)
Other cancer without prostate cancer40 (33.3)
No family history69 (57.5)

Values are presented as median (interquartile range) or number (%).

2. Germline variants

Analysis of data from the 120 samples showed a 796.5±296.4 average read depth and 99% of the targeted region covered a minimum of 100 reads. After excluding all variants with a population frequency above 5%, 88 variants remained. Each variant was assessed according to 2015 ACMG/AMP guidelines [19]. Forty-eight variants were classified as BV or LBV. Of the remaining 40 variants, 6 were classified as LPV or PV and 34 were classified as VUS, which lacked benign or pathogenic evidence to confirm an effect on prostate cancer (Fig. 1, Supplementary Table). Of the 120 patients, 7 (5.8%) had LPV or PV in BRCA2 (1.7%, 2/120), HOXB13 (1.7%, 2/120), PALB2 (0.8%, 1/120), ATM (0.8%, 1/120), and MSH2 genes (0.8%, 1/120) (Table 2).
Fig. 1

Distribution of identified germline variants from sixteen genes. PV, pathogenic variant; LPV, likely pathogenic variant; VUS, variant of unknown significance.

Table 2

List of prostate cancer patients with germline pathogenic/likely pathogenic variants according to ACMG/AMP guidelines

Patient_IDAge at diagnosis (y)Stage, Gleason score, iPSA (ng/mL)Family historyGeneCoding DNAAmino acidACMG/AMP guideline criteriaaPathogenicityaPrevious reported in prostate cancer patient
S07656pT3aN0M0, G8(5+3), 8.5NoneBRCA2c.658_659delp.Val220Ilefs*4PVS1, PM2, PS4PVYes [12]
S089b73cT4N1M0, G8(4+4), 134.7Father (colon cancer)BRCA2c.1310_1313dep.Lys437Ilefs*22PVS1, PM2_sup, PS4PVYes [27]
S08770pT2N0M0, G7(3+4), 12.5Brother (prostate cancer)PALB2c.695delp.Lys437Ilefs*22PVS1, PM2, PS4PVNone
S07858pT2NxM0, G7(3+4), 8.9NoneATMc.496+5G>Ap.?PS3, PM2LPVNone
S09553pT2N0M0, G7(3+4), 12.8Father (lung cancer)MSH2c.1160_1166delinsCATAAp.Leu387Profs*2PVS1, PM2LPVNone
S07471cT3N1M1, G10(5+5), 261.9Brother (hematologic cancer)HOXB13c.395G>Ap.Gly132GluPS4, PM2_sup, PP1LPVYes [16,24]
S10877T3aN0M0, G7(3+4), 20.4Brother (prostate cancer)HOXB13c.395G>Ap.Gly132GluPS4, PM2_sup, PP1LPVYes [16,24]

Transcript ID: BRCA2, NM_000059.3; PALB2, NM_024675.3; ATM, NM_000051.3; MSH2, NM_000251.2; HOXB13, NM_006361.5.

ACMG/AMP, American College of Medical Genetics and Genomics/Association for Molecular Pathology; iPSA, initial prostate specific antigen; PV, pathogenic variant; LPV, likely pathogenic variant.

a: Each variant was classified according to the ACMG/AMP 2015 standards and guidelines.

b: The patient had breast cancer diagnosed with prostate cancer.

Except HOXB13, the other genes were currently recommended for genetic testing [13]. While 5 had high risk, very high, regional, or metastatic disease, two had localized prostate cancer with intermediate-risk. Although genetic testing is not recommended for patients with intermediate-risk prostate cancer, the percentage of positive variants in patients with the intermediate-risk disease (5.9%, 2/34) was comparable to that in patients with high, very high, regional, or metastatic disease (6.6%, 5/76). While 18.2% of patients with a family history of prostate cancer in their first or second degree had LPV or PV, only 2.9% of patients without family history had positive variants (Table 3). One patient with regional prostate cancer who had the BRCA2 variant (c.1310_1313del) was diagnosed with male breast cancer during hormonal treatment of prostate cancer.
Table 3

Patients with germline pathogenic/likely pathogenic variants according to disease risk group and family history

VariantNo. of patient (%)
Disease risk group
Low risk disease (n=10)0 (0.0)
Intermediate risk disease (n=34)2 (5.9)
High, very high, regional or metastatic disease (n=76)5 (6.6)
Family history
Prostate cancer (1st or 2nd degree) (n=11)2 (18.2)
Cancer other than prostate cancer (n=40)3 (7.5)
None (n=69)2 (2.9)
In the HOXB13 gene, we detected the Gly132Glu variant, which was different from the Gly84Glu variant of the HOXB13 gene in Western populations [21]. Of 3 LPV, the variant (c.1160_1166delinsCATAA) of the MSH2 gene was a novel variant classified as LPV based on evidence of loss of function and the absence of population data. We confirmed the novel variant by Sanger sequencing to exclude the possibility of a false-positive variant. Sanger sequencing (Supplementary Fig.) demonstrated that it was a true variant. We noticed through an integrative genome viewer that the likely pathogenic INDEL variant (c.1160_1166delinsCATAA) and a benign missense variant (c.1168C>T) were located in a trans configuration within the close sequence range of MSH2.

DISCUSSION

The implications of genetic testing in prostate cancer are critical for disease risk assessment, guidance for personalized treatment, and familial genetic counseling [132223]. Currently, germline genetic testing is not being conducted in men with prostate cancer in Korea and there is no available data with regard to germline pathogenic variants in Korean men with prostate cancer. Thus, we evaluated germline profiles of prostate cancer in unselected patient populations using a targeted gene panel. In this study, we found PV/LPV in 5 genes including BRCA2, HOXB13, PALB2, ATM, and MSH2 and the pathogenic variants found in these genes have been frequently reported in other studies [1117]. In our results, the variant (c.1160_1166delinsCATAA) in MSH2 was a novel variant classified as LPV and was confirmed as a true variant by Sanger sequencing. HOXB13 is a susceptibility gene for prostate cancer and several germline variants in HOXB13 have been studied for association with prostate cancer [16182124]. The Gly84Glu variant in HOXB13 was first reported in 2012 and several studies have confirmed the association of the Gly84Glu variant with a risk for prostate cancer [2125]. However, the Gly84Glu variant was exclusively observed in European populations and it was likely that the main pathogenic variants of Asian populations were different from those of European populations. In a Chinese study, the Gly84Glu variant was not found in 671 men with prostate cancer but the Gly135Glu variant was observed as a novel variant in the HOXB13 gene [18]. Two Japanese studies including 140 and 7,646 men with prostate cancer also failed to find the Gly84Glu variant and a new variant Gly132Glu was found to be associated with prostate cancer [1624]. In our study, of 7 patients with PV/LPV, 2 had the Gly132Glu variant in the HOXB13 gene, which was the same as with the Japanese cohort. While Gly84Glu was observed in Western, African, Ashkenazi Jewish, and Latino populations, the Gly132Glu and Gly135Glu variants were found only in East Asian populations, indicating an ethnic difference of pathogenic variants in the HOXB13 gene [26]. Although two patients with the Gly132Glu variant were diagnosed with prostate cancer at an old age, both had aggressive disease and a family history of prostate cancer or hematologic cancer. We speculate that the HOXB13 gene should be considered for genetic testing in men with prostate cancer, specifically for the Gly132Glu and Gly135Glu variants in Asian men. Germline alterations in DNA repair genes are potential driver of prostate cancer. BRCA2 and BRCA1 genes are well characterized. In particular, BRCA2 mutation is associated with a 2- to 6-fold increased risk of prostate cancer [2728]. In our results, two of seven patients with PV had PV in BRCA and germline BRCA2 mutation is also most frequent in Japanese and Chinese studies [1618]. BRCA2 and BRCA1 are involved in homologous recombination repair and ATM is critical for initiation of double-strand break repair by homologous recombination [29]. Alteration in genes involved in homologous recombination repair are associated with more aggressive disease and poor clinical outcomes in prostate cancer [28]. In addition, information on these genes can guide personalized treatment. Prostate cancer with alteration in these genes is sensitive to poly (adenosine diphosphate-ribose) polymerase (PARP) inhibition. A recent study has demonstrated a survival benefit of niraparib, a potent inhibitor of PARP1 and PAR2 in patients with homologous recombination repair gene alterations in metastatic castration resistant prostate cancer [30]. Previous studies have reported a wide range of prevalence with 2.9% to 17.2% of germline variants depending on the clinical characteristics of study cohorts such as ethnicity, family history, or tumor characteristics [1116171825]. A multicenter study by Nicolosi et al. [17] that included 3,607 men with prostate cancer who underwent germline testing showed a wide range of germline mutation frequencies depending on ethnicity with the highest rates of 22.7% in Ashkenazi Jews and the lowest rates of 6.4% in Hispanics. In addition, the germline mutation frequency could vary by the definition of a positive variant. In our study, the interpretation and classification of the data using the ACMG/AMP 2015 guidelines showed a 5.8% overall frequency of PV or LPV. With this guideline, only the variants that influenced the development of prostate cancer and met the criteria with sufficient evidence were defined as PV or LPV. In the study by Nicolosi et al. [17], the definition for a positive variant included PV, LPV, and the increased-risk allele. This increased-risk allele was not a classification category in the ACMG/AMP 2015 guidelines. The increased-risk allele could have remained as VUS in our study due to a lack of evidence to meet the criteria for PV or LPV when applying the ACMG/AMP 2015 guidelines. It has been reported that approximately 10% of patients with metastatic prostate cancer harbored germline mutations [1125]. While the NCCN guidelines recommended that genetic testing be performed in patients with high risk or higher clinical features, our study included 44 patients (36.6%) with low to intermediate risk disease as this study included unselected patients who visited the outpatient clinic in our institute. A previous study that also included unselected Japanese patients showed a 2.9% prevalence of the positive germline variant [16]. However, of the 34 patients with intermediate risk disease, 2 had a positive variant in our study. Both patients were diagnosed with prostate cancer at an age younger than 60, indicating the necessity for different genetic testing recommendations depending on age. Our study had several limitations. First, we did not compare clinical characteristics between PV/LPV variant carriers and non-carriers. The number of patients with a positive variant was small, making it difficult to make comparisons with statistical significance. Secondly, although we performed sequencing of 16 genes that were recommended for genetic testing, critical disease related variants or Korean specific variants could be missed. Thirdly, this was a single center study, thus the patients included in the study may not be representative of Korean patients with prostate cancer. Nevertheless, this was the first study that analyzed germline pathogenic variants with a targeted gene panel for prostate cancer in Korean men. Although the number of patients was small, we classified variants using strict criteria and provided evidence to infer the overall aspect of germline variants by analyzing unselected Korean men with prostate cancer. A further study with a large number of patients with a pan cancer gene panel, whole exome, or whole genome sequencing is required to provide comprehensive germline profiling of Korean men with prostate cancer.

CONCLUSIONS

We successfully sequenced and analyzed germline variants from 120 Korean men with prostate cancer. To the best of our knowledge, this study presents the first analysis of germline genetic profiling in Korean men with prostate cancer. Although the prevalence of germline pathogenic variants could differ depending on the study, our results showed that Korean patients had comparable germline prevalence to other studies. The study provides evidence for the necessity of genetic testing in Korean men with prostate cancer.
  9 in total

1.  Family History and Probability of Prostate Cancer, Differentiated by Risk Category: A Nationwide Population-Based Study.

Authors:  Ola Bratt; Linda Drevin; Olof Akre; Hans Garmo; Pär Stattin
Journal:  J Natl Cancer Inst       Date:  2016-07-10       Impact factor: 13.506

2.  Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland.

Authors:  P Lichtenstein; N V Holm; P K Verkasalo; A Iliadou; J Kaprio; M Koskenvuo; E Pukkala; A Skytthe; K Hemminki
Journal:  N Engl J Med       Date:  2000-07-13       Impact factor: 91.245

Review 3.  Risk of prostate cancer in Lynch syndrome: a systematic review and meta-analysis.

Authors:  Shae Ryan; Mark A Jenkins; Aung Ko Win
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-01-14       Impact factor: 4.254

4.  The Molecular Taxonomy of Primary Prostate Cancer.

Authors: 
Journal:  Cell       Date:  2015-11-05       Impact factor: 41.582

5.  Rare Germline Pathogenic Mutations of DNA Repair Genes Are Most Strongly Associated with Grade Group 5 Prostate Cancer.

Authors:  Yishuo Wu; Hongjie Yu; Shuwei Li; Kathleen Wiley; S Lilly Zheng; Holly LaDuca; Marta Gielzak; Rong Na; Brice A J Sarver; Brian T Helfand; Patrick C Walsh; Tamara L Lotan; Kathleen A Cooney; Mary Helen Black; Jianfeng Xu; William B Isaacs
Journal:  Eur Urol Oncol       Date:  2020-01-14

6.  Integrative clinical genomics of advanced prostate cancer.

Authors:  Dan Robinson; Eliezer M Van Allen; Yi-Mi Wu; Nikolaus Schultz; Robert J Lonigro; Juan-Miguel Mosquera; Bruce Montgomery; Mary-Ellen Taplin; Colin C Pritchard; Gerhardt Attard; Himisha Beltran; Wassim Abida; Robert K Bradley; Jake Vinson; Xuhong Cao; Pankaj Vats; Lakshmi P Kunju; Maha Hussain; Felix Y Feng; Scott A Tomlins; Kathleen A Cooney; David C Smith; Christine Brennan; Javed Siddiqui; Rohit Mehra; Yu Chen; Dana E Rathkopf; Michael J Morris; Stephen B Solomon; Jeremy C Durack; Victor E Reuter; Anuradha Gopalan; Jianjiong Gao; Massimo Loda; Rosina T Lis; Michaela Bowden; Stephen P Balk; Glenn Gaviola; Carrie Sougnez; Manaswi Gupta; Evan Y Yu; Elahe A Mostaghel; Heather H Cheng; Hyojeong Mulcahy; Lawrence D True; Stephen R Plymate; Heidi Dvinge; Roberta Ferraldeschi; Penny Flohr; Susana Miranda; Zafeiris Zafeiriou; Nina Tunariu; Joaquin Mateo; Raquel Perez-Lopez; Francesca Demichelis; Brian D Robinson; Marc Schiffman; David M Nanus; Scott T Tagawa; Alexandros Sigaras; Kenneth W Eng; Olivier Elemento; Andrea Sboner; Elisabeth I Heath; Howard I Scher; Kenneth J Pienta; Philip Kantoff; Johann S de Bono; Mark A Rubin; Peter S Nelson; Levi A Garraway; Charles L Sawyers; Arul M Chinnaiyan
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

7.  Inherited DNA-Repair Gene Mutations in Men with Metastatic Prostate Cancer.

Authors:  Colin C Pritchard; Joaquin Mateo; Michael F Walsh; Navonil De Sarkar; Wassim Abida; Himisha Beltran; Andrea Garofalo; Roman Gulati; Suzanne Carreira; Rosalind Eeles; Olivier Elemento; Mark A Rubin; Dan Robinson; Robert Lonigro; Maha Hussain; Arul Chinnaiyan; Jake Vinson; Julie Filipenko; Levi Garraway; Mary-Ellen Taplin; Saud AlDubayan; G Celine Han; Mallory Beightol; Colm Morrissey; Belinda Nghiem; Heather H Cheng; Bruce Montgomery; Tom Walsh; Silvia Casadei; Michael Berger; Liying Zhang; Ahmet Zehir; Joseph Vijai; Howard I Scher; Charles Sawyers; Nikolaus Schultz; Philip W Kantoff; David Solit; Mark Robson; Eliezer M Van Allen; Kenneth Offit; Johann de Bono; Peter S Nelson
Journal:  N Engl J Med       Date:  2016-07-06       Impact factor: 91.245

8.  Inherited Mutations in Men Undergoing Multigene Panel Testing for Prostate Cancer: Emerging Implications for Personalized Prostate Cancer Genetic Evaluation.

Authors:  Veda N Giri; Elias Obeid; Laura Gross; Lisa Bealin; Colette Hyatt; Sarah E Hegarty; Susan Montgomery; Andrea Forman; Ruth Bingler; William K Kelly; Adam P Dicker; Stephanie Winheld; Edouard J Trabulsi; David Y T Chen; Costas D Lallas; Brian A Allen; Mary B Daly; Leonard G Gomella
Journal:  JCO Precis Oncol       Date:  2017-05-04

9.  The long tail of oncogenic drivers in prostate cancer.

Authors:  Joshua Armenia; Stephanie A M Wankowicz; David Liu; Jianjiong Gao; Ritika Kundra; Ed Reznik; Walid K Chatila; Debyani Chakravarty; G Celine Han; Ilsa Coleman; Bruce Montgomery; Colin Pritchard; Colm Morrissey; Christopher E Barbieri; Himisha Beltran; Andrea Sboner; Zafeiris Zafeiriou; Susana Miranda; Craig M Bielski; Alexander V Penson; Charlotte Tolonen; Franklin W Huang; Dan Robinson; Yi Mi Wu; Robert Lonigro; Levi A Garraway; Francesca Demichelis; Philip W Kantoff; Mary-Ellen Taplin; Wassim Abida; Barry S Taylor; Howard I Scher; Peter S Nelson; Johann S de Bono; Mark A Rubin; Charles L Sawyers; Arul M Chinnaiyan; Nikolaus Schultz; Eliezer M Van Allen
Journal:  Nat Genet       Date:  2018-04-02       Impact factor: 38.330

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.