HER kinase inhibition in patients with HER2- and HER3-mutant cancers (original) (raw)
References
- Chmielecki, J. et al. Oncogenic alterations in ERBB2/HER2 represent potential therapeutic targets across tumors from diverse anatomic sites of origin. Oncologist 20, 7–12 (2015)
Article CAS PubMed Google Scholar - Zehir, A. et al. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nat. Med. 23, 703–713 (2017)
Article CAS PubMed PubMed Central Google Scholar - Schram, A. et al. Landscape of somatic ERBB2 mutations: Findings from AACR GENIE and comparison to ongoing ERBB2 mutant basket study. Cancer Res. 77, Abstract LB-103 (2017)
Google Scholar - Chang, M. T. et al. Identifying recurrent mutations in cancer reveals widespread lineage diversity and mutational specificity. Nat. Biotechnol. 34, 155–163 (2016)
Article CAS PubMed Google Scholar - Bose, R. et al. Activating HER2 mutations in HER2 gene amplification negative breast cancer. Cancer Discov. 3, 224–237 (2013)
Article CAS PubMed Google Scholar - Kavuri, S. M. et al. HER2 activating mutations are targets for colorectal cancer treatment. Cancer Discov. 5, 832–841 (2015)
Article CAS PubMed PubMed Central Google Scholar - Jaiswal, B. S. et al. Oncogenic ERBB3 mutations in human cancers. Cancer Cell 23, 603–617 (2013)
Article CAS PubMed Google Scholar - Chumsri, S. et al. Prolonged response to trastuzumab in a patient with HER2-nonamplified breast cancer with elevated HER2 dimerization harboring an ERBB2 S310F mutation. J. Natl. Compr. Canc. Netw. 13, 1066–1070 (2015)
Article CAS PubMed Google Scholar - Zabransky, D. J. et al. HER2 missense mutations have distinct effects on oncogenic signaling and migration. Proc. Natl Acad. Sci. USA 112, E6205–E6214 (2015)
Article CAS PubMed PubMed Central Google Scholar - Hyman, D. M. et al. Vemurafenib in multiple nonmelanoma cancers with BRAF V600 mutations. N. Engl. J. Med. 373, 726–736 (2015)
Article CAS PubMed PubMed Central Google Scholar - Hyman, D. M. et al. AKT inhibition in solid tumors with AKT1 mutations. J. Clin. Oncol. 35, 2251–2259 (2017)
Article CAS PubMed PubMed Central Google Scholar - Ross, J. S. et al. A high frequency of activating extracellular domain ERBB2 (HER2) mutation in micropapillary urothelial carcinoma. Clin. Cancer Res. 20, 68–75 (2014)
Article ADS CAS PubMed Google Scholar - Ross, J. S. et al. Relapsed classic E-cadherin (CDH1)-mutated invasive lobular breast cancer shows a high frequency of HER2 (ERBB2) gene mutations. Clin. Cancer Res. 19, 2668–2676 (2013)
Article CAS PubMed Google Scholar - Wolff, A. C. et al. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J. Clin. Oncol. 31, 3997–4013 (2013)
Article PubMed Google Scholar - Ma, C. X. et al. Neratinib efficacy and circulating tumor DNA detection of HER2 mutations in HER2 non-amplified metastatic breast cancer. Clin. Cancer Res. 23, 5687–5695 (2017)
Article CAS PubMed PubMed Central Google Scholar - Yasuda, H. et al. Structural, biochemical, and clinical characterization of epidermal growth factor receptor (EGFR) exon 20 insertion mutations in lung cancer. Sci. Transl. Med. 5, 216ra177 (2013)
Article PubMed PubMed Central CAS Google Scholar - Borghaei, H. et al. Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. N. Engl. J. Med. 373, 1627–1639 (2015)
Article CAS PubMed PubMed Central Google Scholar - Kosaka, T. et al. Response heterogeneity of EGFR and HER2 exon 20 insertions to covalent EGFR and HER2 inhibitors. Cancer Res. 77, 2712–2721 (2017)
Article CAS PubMed PubMed Central Google Scholar - Freedman, R. A. et al. Translational Breast Cancer Research Consortium (TBCRC) 022: a phase II trial of neratinib for patients with human epidermal growth factor receptor 2-positive breast cancer and brain metastases. J. Clin. Oncol. 34, 945–952 (2016)
Article CAS PubMed PubMed Central Google Scholar - Shi, W. et al. Pathway level alterations rather than mutations in single genes predict response to HER2-targeted therapies in the neo-ALTTO trial. Ann. Oncol. 28, 128–135 (2017)
CAS PubMed Google Scholar - Loibl, S. et al. PIK3CA mutations are associated with reduced pathological complete response rates in primary HER2-positive breast cancer: pooled analysis of 967 patients from five prospective trials investigating lapatinib and trastuzumab. Ann. Oncol. 27, 1519–1525 (2016)
Article CAS PubMed PubMed Central Google Scholar - Baselga, J. et al. Biomarker analyses in CLEOPATRA: a phase III, placebo-controlled study of pertuzumab in human epidermal growth factor receptor 2-positive, first-line metastatic breast cancer. J. Clin. Oncol. 32, 3753–3761 (2014)
Article CAS PubMed Google Scholar - Schram, A. M., Berger, M. F. & Hyman, D. M. Precision oncology: charting a path forward to broader deployment of genomic profiling. PLoS Med. 14, e1002242 (2017)
Article PubMed PubMed Central CAS Google Scholar - Hyman, D. M., Taylor, B. S. & Baselga, J. Implementing genome-driven oncology. Cell 168, 584–599 (2017)
Article CAS PubMed PubMed Central Google Scholar - Jordan, E. J. et al. Prospective comprehensive molecular characterization of lung adenocarcinomas for efficient patient matching to approved and emerging therapies. Cancer Discov. 7, 596–609 (2017)
Article CAS PubMed PubMed Central Google Scholar - Baselga, J. et al. Phase II study of weekly intravenous recombinant humanized anti-p185HER2 monoclonal antibody in patients with HER2/neu-overexpressing metastatic breast cancer. J. Clin. Oncol. 14, 737–744 (1996)
Article CAS PubMed Google Scholar - Vogel, C. L. et al. Efficacy and safety of trastuzumab as a single agent in first-line treatment of HER2-overexpressing metastatic breast cancer. J. Clin. Oncol. 20, 719–726 (2002)
Article CAS PubMed Google Scholar - Slamon, D. J. et al. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N. Engl. J. Med. 344, 783–792 (2001)
Article CAS PubMed Google Scholar - Bang, Y. J. et al. Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): a phase 3, open-label, randomised controlled trial. Lancet 376, 687–697 (2010)
Article CAS PubMed Google Scholar - Swain, S. M. et al. Pertuzumab, trastuzumab, and docetaxel in HER2-positive metastatic breast cancer. N. Engl. J. Med. 372, 724–734 (2015)
Article CAS PubMed PubMed Central Google Scholar - Blackwell, K. L. et al. Randomized study of lapatinib alone or in combination with trastuzumab in women with ErbB2-positive, trastuzumab-refractory metastatic breast cancer. J. Clin. Oncol. 28, 1124–1130 (2010)
Article CAS PubMed Google Scholar - Baselga, J. et al. Lapatinib with trastuzumab for HER2-positive early breast cancer (NeoALTTO): a randomised, open-label, multicentre, phase 3 trial. Lancet 379, 633–640 (2012)
Article CAS PubMed PubMed Central Google Scholar - Bertotti, A. et al. A molecularly annotated platform of patient-derived xenografts (‘xenopatients’) identifies HER2 as an effective therapeutic target in cetuximab-resistant colorectal cancer. Cancer Discov. 1, 508–523 (2011)
Article CAS PubMed Google Scholar - Sartore-Bianchi, A. et al. Dual-targeted therapy with trastuzumab and lapatinib in treatment-refractory, KRAS codon 12/13 wild-type, HER2-positive metastatic colorectal cancer (HERACLES): a proof-of-concept, multicentre, open-label, phase 2 trial. Lancet Oncol. 17, 738–746 (2016)
Article CAS PubMed Google Scholar - Kaufman, B. et al. Olaparib monotherapy in patients with advanced cancer and a germline BRCA1/2 mutation. J. Clin. Oncol. 33, 244–250 (2015)
Article CAS PubMed Google Scholar - Le, D. T. et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 357, 409–413 (2017)
Article ADS CAS PubMed PubMed Central Google Scholar - Hyman, D. M. et al. The efficacy of larotrectinib (LOXO-101), a selective tropomyosin receptor kinase (TRK) inhibitor, in adult and pediatric TRK fusion cancers. J. Clin. Oncol. 35, abstract LBA2501 (2017)
Article Google Scholar - Wahl, R. L., Jacene, H., Kasamon, Y. & Lodge, M. A. From RECIST to PERCIST: Evolving considerations for PET response criteria in solid tumors. J. Nucl. Med. 50, 122S–150S (2009)
Article CAS PubMed Google Scholar - Cheng, D. T. et al. Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): a hybridization capture-based next-generation sequencing clinical assay for solid tumor molecular oncology. J. Mol. Diagn. 17, 251–264 (2015)
Article CAS PubMed PubMed Central Google Scholar - Chang, M. T. et al. Accelerating discovery of functional mutant alleles in cancer. Cancer Discov. https://doi.org/10.1158/2159-8290.CD-17-0321 (2017)
Article PubMed PubMed Central CAS Google Scholar - Kanehisa, M. & Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 28, 27–30 (2000)
Article CAS PubMed PubMed Central Google Scholar - Chakravarty D. et al. OncoKB: a precision oncology knowledge base. JCO Precis. Oncol. https://doi.org/10.1200/PO.17.00011 (2017)
Article Google Scholar - Shen, R. & Seshan, V. E. FACETS: allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing. Nucleic Acids Res. 44, e131 (2016)
Article PubMed PubMed Central CAS Google Scholar - Carter, S. L. et al. Absolute quantification of somatic DNA alterations in human cancer. Nat. Biotechnol. 30, 413–421 (2012)
Article CAS PubMed PubMed Central Google Scholar - McGranahan, N. et al. Clonal status of actionable driver events and the timing of mutational processes in cancer evolution. Sci. Transl. Med. 7, 283ra54 (2015)
Article PubMed PubMed Central Google Scholar - Niu, B. et al. MSIsensor: microsatellite instability detection using paired tumor-normal sequence data. Bioinformatics 30, 1015–1016 (2014)
Article CAS PubMed Google Scholar - Alexandrov, L. B. et al. Signatures of mutational processes in human cancer. Nature 500, 415–421 (2013)
Article CAS PubMed PubMed Central Google Scholar - Middha et al. Reliable pan-cancer microsatellite instability assessment by using targeted next-generation sequencing data. JCO Precis. Oncol. https://doi.org/10.1200/PO.17.00084 (2017)
- Zhou, X. et al. Exploring genomic alteration in pediatric cancer using ProteinPaint. Nat. Genet. 48, 4–6 (2016)
Article CAS PubMed PubMed Central Google Scholar
Acknowledgements
We thank patients and their families for participating in this study. Editorial support, not including writing, was provided by L. Miller. This work was funded by Puma Biotechnology, and supported by grants from the National Institutes of Health (grants P30 CA008748, P30 CA016672, P30 CA014089, R01 CA204749, R01 CA80195, T32 CA009207, 1U01 CA180964 and UL1 TR000371), the National Institutes of Health/National Cancer Institute (Breast SPORE grant P50 CA098131), Cycle for Survival, Marie-Josée and Henry R. Kravis Center for Molecular Oncology, The Cancer Prevention and Research Institute of Texas (RP1100584), the Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, Nellie B. Connally Breast Cancer Research Endowment, and the Breast Cancer Research Foundation.
Author information
Authors and Affiliations
- Memorial Sloan Kettering Cancer Center, New York, New York, USA
David M. Hyman, Helen Won, Joseph P. Erinjeri, Maurizio Scaltriti, Gary A. Ulaner, Juber Patel, Jiabin Tang, Hannah Beer, S. Duygu Selcuklu, Aphrothiti J. Hanrahan, Nancy Bouvier, Myra Melcer, Rajmohan Murali, Alison M. Schram, Lillian M. Smyth, Komal Jhaveri, Bob T. Li, Alexander Drilon, James J. Harding, Gopa Iyer, Barry S. Taylor, Michael F. Berger, José Baselga & David B. Solit - University of Texas, MD Anderson Cancer Center, Houston, Texas, USA
Sarina A. Piha-Paul & Funda Meric-Bernstam - Vall d’Hebron University Hospital, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
Jordi Rodon & Cristina Saura - Dana-Faber Cancer Institute, Boston, Massachusetts, USA
Geoffrey I. Shapiro - Massachusetts Hospital Cancer Center, Boston, Massachusetts, USA
Dejan Juric - USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
David I. Quinn - START Madrid Fundación Jímenez Díaz, Madrid, Spain
Victor Moreno & Bernard Doger - Vanderbilt-Ingram Cancer Center, Nashville, Tennessee, USA
Ingrid A. Mayer & Carlos L. Arteaga - START Madrid, Centro Integral Oncológico Clara Campal (CIOCC), Madrid, Spain
Valentina Boni & Emiliano Calvo - Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Sherene Loi - Washington University in St. Louis School of Medicine, St Louis, Missouri, USA
Albert C. Lockhart - Puma Biotechnology Inc., Los Angeles, California, USA
Richard E. Cutler Jr, Feng Xu, Anna Butturini, Lisa D. Eli, Grace Mann, Cynthia Farrell, Alshad S. Lalani & Richard P. Bryce
Authors
- David M. Hyman
- Sarina A. Piha-Paul
- Helen Won
- Jordi Rodon
- Cristina Saura
- Geoffrey I. Shapiro
- Dejan Juric
- David I. Quinn
- Victor Moreno
- Bernard Doger
- Ingrid A. Mayer
- Valentina Boni
- Emiliano Calvo
- Sherene Loi
- Albert C. Lockhart
- Joseph P. Erinjeri
- Maurizio Scaltriti
- Gary A. Ulaner
- Juber Patel
- Jiabin Tang
- Hannah Beer
- S. Duygu Selcuklu
- Aphrothiti J. Hanrahan
- Nancy Bouvier
- Myra Melcer
- Rajmohan Murali
- Alison M. Schram
- Lillian M. Smyth
- Komal Jhaveri
- Bob T. Li
- Alexander Drilon
- James J. Harding
- Gopa Iyer
- Barry S. Taylor
- Michael F. Berger
- Richard E. Cutler Jr
- Feng Xu
- Anna Butturini
- Lisa D. Eli
- Grace Mann
- Cynthia Farrell
- Alshad S. Lalani
- Richard P. Bryce
- Carlos L. Arteaga
- Funda Meric-Bernstam
- José Baselga
- David B. Solit
Contributions
D.M.H., H.W., M.F.B., R.E.C, F.X., A.B., L.D.E., G.M., C.F., A.S.L., R.P.B., J.B. and D.B.S. designed the study and supervised the analyses. R.E.C., F.X., L.D.E., G.M., C.F., A.S.L. and R.P.B. helped to collect and monitor the clinical outcome data. D.M.H., S.A.P., J.R., C.S., G.I.S., D.J., D.I.Q., V.M., B.D., I.A.M., V.B., E.C., S.L., A.C.L., J.P.E., B.T.L., A.J.H., R.M., A.M.S., A.D., L.M.S., K.J., G.I., J.J.H., C.L.A., F.M.B., J.B. and D.B.D. enrolled patients and provided patient samples. G.U. developed the PET response criteria and performed radiographic response assessments. B.S.T., J.P., J.T., S.D.S., N.B., M.M., M.F.B., J.B. and D.B.S. performed the tumour and plasma sequencing, provided computational infrastructure, and made final variant calls. D.M.H., H.W., M.S., B.S.T., J.P., J.T., H.B., M.F.B. and D.B.S. analysed clinical and genomic data and performed the integrated efficacy analyses. F.X. performed biostatistical analyses of the clinical efficacy data. D.M.H., H.W., B.S.T., C.L.A., F.M.B. and D.B.S. wrote the manuscript with input from all authors.
Corresponding author
Correspondence toDavid M. Hyman.
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Competing interests
R.E.C., F.X., L.D.E., G.M., C.F., A.S.L. and R.P.B. are employees of Puma Biotechnology. D.M.H., M.S. and J.B. receive research support from Puma Biotechnology, B.T.L. and M.S. receive research funding from Diachi, A.D. receives personal fees from Roche, and D.S. received personal fees from Loxo Oncology and Pfizer.
Additional information
Reviewer Information Nature thanks E. Mardis and the other anonymous reviewer(s) for their contribution to the peer review of this work.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Extended Data Figure 1 Design of SUMMIT study.
Five tumour-specific HER2 (ERBB2)-mutant cohorts were pre-specified (endometrial, gastroesophageal, ovarian, colorectal and bladder/urinary tract). In addition, a sixth ‘solid tumour (not otherwise specified, NOS)’ HER2-mutant cohort allowed for the enrolment of patients with any other cancer types. A sufficient number of patients with breast, cervical, biliary and lung cancer were enrolled in the solid tumours (NOS) cohort to permit independent efficacy analysis using the same design as the pre-specified cohorts. Patients with HER3 (ERBB3)-mutant tumours were enrolled in a HER3-specific cohort regardless of tumour type. CBR, clinical benefit rate; cfDNA, cell-free (tumour) DNA; CI, confidence interval.
Extended Data Figure 2 Distribution of HER2 and HER3 mutations positioned by their amino acid coordinates across the respective protein domains.
a, b, HER2 (a) and HER3 (b) mutations (125 and 16 mutations, respectively). Each unique mutation is represented by a circle, with the circle size and number representing the frequency, and coloured to show the mutation class as indicated in the legend. The corresponding amino acid change and common hotspot mutations (shown in pink) are labelled next to the circles.
Extended Data Figure 3 Spectrum of HER2 and HER3 mutations observed in the neratinib study versus TCGA, ICGC and other public datasets.
a, b, Distribution of HER2 (a) and HER3 (b) mutations observed across our cohort in comparison to the spectrum of HER2 and HER3 mutations (reflected lollipop) from publically available datasets (TCGA, ICGC and other published studies).
Extended Data Figure 4 Distribution and outcome of 28 HER2 exon 20 insertions.
a, Percentage best change and PFS plots corresponding to each type of exon 20 insertion (colour coded by synonymous amino acid change). Three cases with no change are indicated in colour-coded circles above the x axis. b, Zoomed-in schematic of all exon 20 insertions positioned by their amino acid coordinates and frequencies. c, Five unique types of exon 20 insertions observed in the study with the resulting full amino acid sequences (insertion indicated in red).
Extended Data Figure 5 Genomic modifiers of response and outcome by treatment duration.
a, Cancer cell fractions with 95% confidence intervals and clonality status of all HER2 mutations in 74 patients with sufficient sequencing data ordered by increasing clinical benefit (weeks on therapy). b, Comparison of the percentage activation of known oncogenic alterations in the three pathways between the patients of clinical benefit (n = 20, biologically independent samples) and no benefit (n = 66, biologically independent samples). Nominal Fisher’s P values are shown.
Extended Data Figure 6 SUMMIT CONSORT diagram.
Extended Data Table 1 Patient demographics and efficacy by cohort
Extended Data Table 2 Treatment-emergent adverse events (occurring in ≥ 10% of patients)
Extended Data Table 3 PET response criteria
Extended Data Table 4 Patient disposition by cohort
Supplementary information
Life Sciences Reporting Summary (PDF 72 kb) (download PDF )
Supplementary Information (download PDF )
This file contains: 1 - list of genes covered in the MSK-IMPACT panel along with the HGNC ID, short gene description, chromosomal location, and panel version, 2 - list of all somatic mutations within the MSK-IMPACT genes for patient tumour samples with sequencing data and 3 - list of all somatic copy number alterations within the MSK-IMPACT genes for patient tumour samples with sequencing data. (PDF 745 kb)
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Hyman, D., Piha-Paul, S., Won, H. et al. HER kinase inhibition in patients with HER2- and HER3-mutant cancers.Nature 554, 189–194 (2018). https://doi.org/10.1038/nature25475
- Received: 04 August 2017
- Accepted: 22 December 2017
- Published: 31 January 2018
- Version of record: 31 January 2018
- Issue date: 08 February 2018
- DOI: https://doi.org/10.1038/nature25475