Skip to main content

Advertisement

Log in

Disclosure of secondary findings in exome sequencing of 2480 Japanese cancer patients

  • Original Investigation
  • Published:
Human Genetics Aims and scope Submit manuscript

Abstract

High-throughput sequencing has greatly contributed to precision medicine. However, challenges remain in reporting secondary findings (SFs) of germline pathogenic variants and managing the affected patients. The aim of this study was to examine the incidence of SFs in Japanese cancer patients using whole exome sequencing (WES) and to understand patient preferences regarding SF disclosure. WES was conducted for 2480 cancer patients. Genomic data were screened and classified for variants of 59 genes listed by the American College of Medical Genetics and Genomics SF v2.0 and for an additional 13 hereditary cancer-related genes. Majority of the participants (68.9%; 1709/2480) opted for disclosure of their SFs. Thirty-two pathogenic or likely pathogenic variants, including BRCA1 (7 patients), BRCA2 (4), CHEK2 (4), PTEN (3), MLH1 (3), SDHB (2), MSH6 (1), NF1 (1), EXT2 (1), NF1 (1), NTRK1 (1), MYH7 (3), MYL2 (1), TNNT2 (1), LDLR (2), FBN1 (1), and KCNH2 (1) were recognized in 36 patients (1.5%). Twenty-eight (77.8%) patients underwent genetic counseling and received their SF results. Eighteen (64.3%) patients underwent clinical management for SFs. Genetic validation tests were administered significantly more frequently to patients with than without a SF-related personal history (P = 0.025). This was a first attempt at a large-scale systematic exome analysis in Japan; nevertheless, many cancer patients opted for disclosure of SFs and accepted or considered clinical management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Aiba T (2019) Recent understanding of clinical sequencing and gene-based risk stratification in inherited primary arrhythmia syndrome. J Cardiol 73:335–342. https://doi.org/10.1016/j.jjcc.2019.01.009

    Article  PubMed  Google Scholar 

  • Breitkopf CR, Petersen GM, Wolf SM, Chaffee KG, Robinson ME, Gordon DR, Lindor NM, Koenig BA (2015) Preferences Regarding Return of Genomic Results to Relatives of Research Participants, Including after Participant Death: Empirical Results from a Cancer Biobank. J Law Med Ethics 43:464–475. https://doi.org/10.1111/jlme.12289

    Article  PubMed  PubMed Central  Google Scholar 

  • Burke W, Antommaria AH, Bennett R, Botkin J, Clayton EW, Henderson GE, Holm IA, Jarvik GP, Khoury MJ, Knoppers BM, Press NA, Ross LF, Rothstein MA, Saal H, Uhlmann WR, Wilfond B, Wolf SM, Zimmern R (2013) Recommendations for returning genomic incidental findings? We need to talk! Genet Med 15:854–859. https://doi.org/10.1038/gim.2013.113

    Article  CAS  PubMed  Google Scholar 

  • Cingolani P, Platts A, le Wang L, Coon M, Nguyen T, Wang L, Land SJ, Lu X, Ruden DM (2012) A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin) 6:80–92. https://doi.org/10.4161/fly.19695

    Article  CAS  Google Scholar 

  • Clift KE, Halverson CM, Fiksdal AS, Kumbamu A, Sharp RR, McCormick JB (2015) Patients' views on incidental findings from clinical exome sequencing. Appl Transl Genom 4:38–43. https://doi.org/10.1016/j.atg.2015.02.005

    Article  PubMed  PubMed Central  Google Scholar 

  • Dewey FE, Murray MF, Overton JD, Habegger L, Leader JB, Fetterolf SN, O'Dushlaine C, Van Hout CV, Staples J, Gonzaga-Jauregui C, Metpally R, Pendergrass SA, Giovanni MA, Kirchner HL, Balasubramanian S, Abul-Husn NS, Hartzel DN, Lavage DR, Kost KA, Packer JS, Lopez AE, Penn J, Mukherjee S, Gosalia N, Kanagaraj M, Li AH, Mitnaul LJ, Adams LJ, Person TN, Praveen K, Marcketta A, Lebo MS, Austin-Tse CA, Mason-Suares HM, Bruse S, Mellis S, Phillips R, Stahl N, Murphy A, Economides A, Skelding KA, Still CD, Elmore JR, Borecki IB, Yancopoulos GD, Davis FD, Faucett WA, Gottesman O, Ritchie MD, Shuldiner AR, Reid JG, Ledbetter DH, Baras A, Carey DJ (2016) Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study. Science. https://doi.org/10.1126/science.aaf6814

    Article  PubMed  PubMed Central  Google Scholar 

  • Green RC, Berg JS, Grody WW, Kalia SS, Korf BR, Martin CL, McGuire AL, Nussbaum RL, O'Daniel JM, Ormond KE, Rehm HL, Watson MS, Williams MS, Biesecker LG, American College of Medical G, Genomics (2013) ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med 15:565–574. https://doi.org/10.1038/gim.2013.73

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Group JCSJW (2016) Guidelines for diagnosis and treatment of patients with hypertrophic cardiomyopathy (JCS 2012)-digest version. Circ J 80:753–774. https://doi.org/10.1253/circj.CJ-66-0122

    Article  Google Scholar 

  • Hamilton JG, Shuk E, Genoff MC, Rodriguez VM, Hay JL, Offit K, Robson ME (2017) Interest and attitudes of patients with advanced cancer with regard to secondary germline findings from tumor genomic profiling. J Oncol Pract 13:e590–e601. https://doi.org/10.1200/JOP.2016.020057

    Article  PubMed  PubMed Central  Google Scholar 

  • Hart MR, Biesecker BB, Blout CL, Christensen KD, Amendola LM, Bergstrom KL, Biswas S, Bowling KM, Brothers KB, Conlin LK, Cooper GM, Dulik MC, East KM, Everett JN, Finnila CR, Ghazani AA, Gilmore MJ, Goddard KAB, Jarvik GP, Johnston JJ, Kauffman TL, Kelley WV, Krier JB, Lewis KL, McGuire AL, McMullen C, Ou J, Plon SE, Rehm HL, Richards CS, Romasko EJ, Miren Sagardia A, Spinner NB, Thompson ML, Turbitt E, Vassy JL, Wilfond BS, Veenstra DL, Berg JS, Green RC, Biesecker LG, Hindorff LA (2018) Secondary findings from clinical genomic sequencing: prevalence, patient perspectives, family history assessment, and health-care costs from a multisite study. Genet Med. https://doi.org/10.1038/s41436-018-0308-x

    Article  PubMed  PubMed Central  Google Scholar 

  • Johnston JJ, Rubinstein WS, Facio FM, Ng D, Singh LN, Teer JK, Mullikin JC, Biesecker LG (2012) Secondary variants in individuals undergoing exome sequencing: screening of 572 individuals identifies high-penetrance mutations in cancer-susceptibility genes. Am J Hum Genet 91:97–108. https://doi.org/10.1016/j.ajhg.2012.05.021

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Jurgens J, Ling H, Hetrick K, Pugh E, Schiettecatte F, Doheny K, Hamosh A, Avramopoulos D, Valle D, Sobreira N (2015) Assessment of incidental findings in 232 whole-exome sequences from the Baylor-Hopkins Center for Mendelian Genomics. Genet Med 17:782–788. https://doi.org/10.1038/gim.2014.196

    Article  PubMed  PubMed Central  Google Scholar 

  • Kalia SS, Adelman K, Bale SJ, Chung WK, Eng C, Evans JP, Herman GE, Hufnagel SB, Klein TE, Korf BR, McKelvey KD, Ormond KE, Richards CS, Vlangos CN, Watson M, Martin CL, Miller DT (2017) Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med 19:249–255. https://doi.org/10.1038/gim.2016.190

    Article  PubMed  Google Scholar 

  • Knoppers BM, Zawati MH, Senecal K (2015) Return of genetic testing results in the era of whole-genome sequencing. Nat Rev Genet 16:553–559. https://doi.org/10.1038/nrg3960

    Article  CAS  PubMed  Google Scholar 

  • Kwak SH, Chae J, Choi S, Kim MJ, Choi M, Chae JH, Cho EH, Hwang TJ, Jang SS, Kim JI, Park KS, Bang YJ (2017) Findings of a 1303 Korean whole-exome sequencing study. Exp Mol Med 49:e356. https://doi.org/10.1038/emm.2017.142

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Landrum MJ, Lee JM, Riley GR, Jang W, Rubinstein WS, Church DM, Maglott DR (2014) ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res 42:D980–D985. https://doi.org/10.1093/nar/gkt1113

    Article  CAS  PubMed  Google Scholar 

  • Minari J, Brothers KB, Morrison M (2018) Tensions in ethics and policy created by National Precision Medicine Programs. Hum Genom 12:22. https://doi.org/10.1186/s40246-018-0151-9

    Article  Google Scholar 

  • Momozawa Y, Iwasaki Y, Parsons MT, Kamatani Y, Takahashi A, Tamura C, Katagiri T, Yoshida T, Nakamura S, Sugano K, Miki Y, Hirata M, Matsuda K, Spurdle AB, Kubo M (2018) Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls. Nat Commun 9:4083. https://doi.org/10.1038/s41467-018-06581-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Nagashima T, Shimoda Y, Tanabe T, Naruoka A, Saito J, Serizawa M, Ohshima K, Urakami K, Ohnami S, Ohnami S, Mochizuki T, Kusuhara M, Yamaguchi K (2016) Optimizing an ion semiconductor sequencing data analysis method to identify somatic mutations in the genomes of cancer cells in clinical tissue samples. Biomed Res 37:359–366. https://doi.org/10.2220/biomedres.37.359

    Article  PubMed  Google Scholar 

  • Nagashima T, Yamaguchi K, Urakami K, Shimoda Y, Ohnami S, Ohshima K, Tanabe T, Naruoka A, Kamada F, Serizawa M, Hatakeyama K, Matsumura K, Ohnami S, Maruyama K, Mochizuki T, Kusuhara M, Shiomi A, Ohde Y, Terashima M, Uesaka K, Onitsuka T, Nishimura S, Hirashima Y, Hayashi N, Kiyohara Y, Tsubosa Y, Katagiri H, Niwakawa M, Takahashi K, Kashiwagi H, Nakagawa M, Ishida Y, Sugino T, Takahashi M, Akiyama Y (2020) Japanese version of The Cancer Genome Atlas, JCGA, established using fresh frozen tumors obtained from 5143 cancer patients. Cancer Sci 111:687–699. https://doi.org/10.1111/cas.14290

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Nakamura S, Takahashi M, Tozaki M, Nakayama T, Nomizu T, Miki Y, Murakami Y, Aoki D, Iwase T, Nishimura S, Yamauchi H, Ohsumi S, Baba S, Shimizu T (2015) Prevalence and differentiation of hereditary breast and ovarian cancers in Japan. Breast Cancer 22:462–468. https://doi.org/10.1007/s12282-013-0503-1

    Article  PubMed  Google Scholar 

  • O'Daniel JM, McLaughlin HM, Amendola LM, Bale SJ, Berg JS, Bick D, Bowling KM, Chao EC, Chung WK, Conlin LK, Cooper GM, Das S, Deignan JL, Dorschner MO, Evans JP, Ghazani AA, Goddard KA, Gornick M, Farwell Hagman KD, Hambuch T, Hegde M, Hindorff LA, Holm IA, Jarvik GP, Knight Johnson A, Mighion L, Morra M, Plon SE, Punj S, Richards CS, Santani A, Shirts BH, Spinner NB, Tang S, Weck KE, Wolf SM, Yang Y, Rehm HL (2017) A survey of current practices for genomic sequencing test interpretation and reporting processes in US laboratories. Genet Med 19:575–582. https://doi.org/10.1038/gim.2016.152

    Article  PubMed  Google Scholar 

  • Olfson E, Cottrell CE, Davidson NO, Gurnett CA, Heusel JW, Stitziel NO, Chen LS, Hartz S, Nagarajan R, Saccone NL, Bierut LJ (2015) Identification of medically actionable secondary findings in the 1000 genomes. PLoS ONE 10:e0135193. https://doi.org/10.1371/journal.pone.0135193

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Otsuka H, Arimura T, Abe T, Kawai H, Aizawa Y, Kubo T, Kitaoka H, Nakamura H, Nakamura K, Okamoto H, Ichida F, Ayusawa M, Nunoda S, Isobe M, Matsuzaki M, Doi YL, Fukuda K, Sasaoka T, Izumi T, Ashizawa N, Kimura A (2012) Prevalence and distribution of sarcomeric gene mutations in Japanese patients with familial hypertrophic cardiomyopathy. Circ J 76:453–461. https://doi.org/10.1253/circj.cj-11-0876

    Article  CAS  PubMed  Google Scholar 

  • Pottinger TD, Puckelwartz MJ, Pesce LL, Robinson A, Kearns S, Pacheco JA, Rasmussen-Torvik LJ, Smith ME, Chisholm R, McNally EM (2020) Pathogenic and uncertain genetic variants have clinical cardiac correlates in diverse biobank participants. J Am Heart Assoc 9:e013808. https://doi.org/10.1161/JAHA.119.013808

    Article  PubMed  PubMed Central  Google Scholar 

  • Provenzale D, Gupta S, Ahnen DJ, Bray T, Cannon JA, Cooper G, David DS, Early DS, Erwin D, Ford JM, Giardiello FM, Grady W, Halverson AL, Hamilton SR, Hampel H, Ismail MK, Klapman JB, Larson DW, Lazenby AJ, Lynch PM, Mayer RJ, Ness RM, Regenbogen SE, Samadder NJ, Shike M, Steinbach G, Weinberg D, Dwyer M, Darlow S (2016) Genetic/familial high-risk assessment: colorectal version 1.2016, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 14:1010–1030. https://doi.org/10.6004/jnccn.2016.0108

    Article  CAS  PubMed  Google Scholar 

  • Pujol P, Vande Perre P, Faivre L, Sanlaville D, Corsini C, Baertschi B, Anahory M, Vaur D, Olschwang S, Soufir N, Bastide N, Amar S, Vintraud M, Ingster O, Richard S, Le Coz P, Spano JP, Caron O, Hammel P, Luporsi E, Toledano A, Rebillard X, Cambon-Thomsen A, Putois O, Rey JM, Herve C, Zorn C, Baudry K, Galibert V, Gligorov J, Azria D, Bressac-de Paillerets B, Burnichon N, Spielmann M, Zarca D, Coupier I, Cussenot O, Gimenez-Roqueplo AP, Giraud S, Lapointe AS, Niccoli P, Raingeard I, Le Bidan M, Frebourg T, Rafii A, Genevieve D (2018) Guidelines for reporting secondary findings of genome sequencing in cancer genes: the SFMPP recommendations. Eur J Hum Genet 26:1732–1742. https://doi.org/10.1038/s41431-018-0224-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, Voelkerding K, Rehm HL, Committee ALQA (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. Genet Med 17:405–424. https://doi.org/10.1038/gim.2015.30

    Article  PubMed  PubMed Central  Google Scholar 

  • Schwartz MLB, McCormick CZ, Lazzeri AL, Lindbuchler DM, Hallquist MLG, Manickam K, Buchanan AH, Rahm AK, Giovanni MA, Frisbie L, Flansburg CN, Davis FD, Sturm AC, Nicastro C, Lebo MS, Mason-Suares H, Mahanta LM, Carey DJ, Williams JL, Williams MS, Ledbetter DH, Faucett WA, Murray MF (2018) A model for genome-first care: returning secondary genomic findings to participants and their healthcare providers in a large research cohort. Am J Hum Genet 103:328–337. https://doi.org/10.1016/j.ajhg.2018.07.009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Shahmirzadi L, Chao EC, Palmaer E, Parra MC, Tang S, Gonzalez KD (2014) Patient decisions for disclosure of secondary findings among the first 200 individuals undergoing clinical diagnostic exome sequencing. Genet Med 16:395–399. https://doi.org/10.1038/gim.2013.153

    Article  PubMed  Google Scholar 

  • Shimoda Y, Nagashima T, Urakami K, Tanabe T, Saito J, Naruoka A, Serizawa M, Mochizuki T, Ohshima K, Ohnami S, Ohnami S, Kusuhara M, Yamaguchi K (2016) Integrated next-generation sequencing analysis of whole exome and 409 cancer-related genes. Biomed Res 37:367–379. https://doi.org/10.2220/biomedres.37.367

    Article  CAS  PubMed  Google Scholar 

  • Stenson PD, Ball EV, Howells K, Phillips AD, Mort M, Cooper DN (2009) The Human Gene Mutation Database: providing a comprehensive central mutation database for molecular diagnostics and personalized genomics. Hum Genomics 4:69–72

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Tamura K, Utsunomiya J, Iwama T, Furuyama J, Takagawa T, Takeda N, Fukuda Y, Matsumoto T, Nishigami T, Kusuhara K, Sagayama K, Nakagawa K, Yamamura T (2004) Mechanism of carcinogenesis in familial tumors. Int J Clin Oncol 9:232–245. https://doi.org/10.1007/s10147-004-0430-4

    Article  PubMed  Google Scholar 

  • Tang CS, Dattani S, So MT, Cherny SS, Tam PKH, Sham PC, Garcia-Barcelo MM (2018) Actionable secondary findings from whole-genome sequencing of 954 East Asians. Hum Genet 137:31–37. https://doi.org/10.1007/s00439-017-1852-1

    Article  PubMed  Google Scholar 

  • Vasen HF, Gruis NA, Frants RR, van Der Velden PA, Hille ET, Bergman W (2000) Risk of developing pancreatic cancer in families with familial atypical multiple mole melanoma associated with a specific 19 deletion of p16 (p16-Leiden). Int J Cancer 87:809–811

    Article  CAS  PubMed  Google Scholar 

  • Yamaguchi-Kabata Y, Yasuda J, Tanabe O, Suzuki Y, Kawame H, Fuse N, Nagasaki M, Kawai Y, Kojima K, Katsuoka F, Saito S, Danjoh I, Motoike IN, Yamashita R, Koshiba S, Saigusa D, Tamiya G, Kure S, Yaegashi N, Kawaguchi Y, Nagami F, Kuriyama S, Sugawara J, Minegishi N, Hozawa A, Ogishima S, Kiyomoto H, Takai-Igarashi T, To MSG, Kinoshita K, Yamamoto M (2018) Evaluation of reported pathogenic variants and their frequencies in a Japanese population based on a whole-genome reference panel of 2049 individuals. J Hum Genet 63:213–230. https://doi.org/10.1038/s10038-017-0347-1

    Article  CAS  PubMed  Google Scholar 

  • Yamaguchi K, Urakami K, Ohshima K, Mochizuki T, Akiyama Y, Uesaka K, Nakajima T, Takahashi M, Tamai S, Kusuhara M (2014) Implementation of individualized medicine for cancer patients by multiomics-based analyses-the Project HOPE. Biomed Res 35:407–412. https://doi.org/10.2220/biomedres.35.407

    Article  CAS  PubMed  Google Scholar 

  • Yamamoto K, Hachiya T, Fukushima A, Nakaya N, Okayama A, Tanno K, Aizawa F, Tokutomi T, Hozawa A, Shimizu A (2017) Population-based biobank participants' preferences for receiving genetic test results. J Hum Genet 62:1037–1048. https://doi.org/10.1038/jhg.2017.81

    Article  PubMed  PubMed Central  Google Scholar 

  • Young AL, Butow PN, Tucker KM, Wakefield CE, Healey E, Williams R (2019) Challenges and strategies proposed by genetic health professionals to assist with family communication. Eur J Hum Genet. https://doi.org/10.1038/s41431-019-0447-9

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This study was supported by JSPS KAKENHI (grant number JP17K08942) and AMED (grant number 15kk0105001h0102). English Language editing services supplied by Eigo Eibun Tensaku Center.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hiroyuki Matsubayashi.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest relevant to this study.

Ethical approval

All procedures performed in this studies involving human participants were in accordance with the institutional review board of Shizuoka Cancer Center (No.27-J139-27–1-3) and Tokyo Metropolitan Institute of Medical Science (No.18–17), and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Witten informed consent was obtained from all participants at their entry into this study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (XLSX 15 kb)

Supplementary file2 (XLSX 21 kb)

439_2020_2207_MOESM3_ESM.jpg

Fig. S1 Workflow for the study performed by Project HOPE. Consent forms from patients who agreed to participate in the study were entered into their electronic medical records and then stored in the Medical Information Management Office. Blood samples were collected in the operating room. Fresh cancerous and non-cancerous tissues were collected by a pathologist from the surgically resected material. After anonymization in the Personal Information Management Office, these samples were delivered to the laboratory. Over 200 staff members were involved in the study, including those conducting the laboratory analysis)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Horiuchi, Y., Matsubayashi, H., Kiyozumi, Y. et al. Disclosure of secondary findings in exome sequencing of 2480 Japanese cancer patients. Hum Genet 140, 321–331 (2021). https://doi.org/10.1007/s00439-020-02207-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00439-020-02207-6

Navigation