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Vega DM, Yee LM, McShane LM, Williams PM, Chen L, Vilimas T, Fabrizio D, Funari V, Newberg J, Bruce LK, Chen SJ, Baden J, Carl Barrett J, Beer P, Butler M, Cheng JH, Conroy J, Cyanam D, Eyring K, Garcia E, Green G, Gregersen VR, Hellmann MD, Keefer LA, Lasiter L, Lazar AJ, Li MC, MacConaill LE, Meier K, Mellert H, Pabla S, Pallavajjalla A, Pestano G, Salgado R, Samara R, Sokol ES, Stafford P, Budczies J, Stenzinger A, Tom W, Valkenburg KC, Wang XZ, Weigman V, Xie M, Xie Q, Zehir A, Zhao C, Zhao Y, Stewart MD, Allen J. Erratum to "Aligning tumor mutational burden (TMB) quantification across diagnostic platforms: phase II of the Friends of Cancer Research TMB Harmonization Project": [Annals of Oncology 32 (2021) 1626-1636]. Ann Oncol 2024; 35:145. [PMID: 37558578 DOI: 10.1016/j.annonc.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2023] Open
Affiliation(s)
- D M Vega
- Friends of Cancer Research, Washington
| | - L M Yee
- National Cancer Institute, Bethesda
| | | | - P M Williams
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick
| | - L Chen
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick
| | - T Vilimas
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick
| | | | - V Funari
- NeoGenomics Laboratories, Aliso Viejo, USA
| | | | - L K Bruce
- NeoGenomics Laboratories, Aliso Viejo, USA
| | | | - J Baden
- Bristol Myers Squibb Co., Princeton
| | | | - P Beer
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | - M Butler
- LGC Clinical Diagnostics, Gaithersburg
| | | | | | - D Cyanam
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor
| | - K Eyring
- Intermountain Precision Genomics, St. George
| | - E Garcia
- Brigham and Women's Hospital, Boston, USA
| | - G Green
- Bristol Myers Squibb Co., Princeton
| | | | - M D Hellmann
- Memorial Sloan Kettering Cancer Center, New York
| | | | - L Lasiter
- Friends of Cancer Research, Washington
| | - A J Lazar
- The University of Texas MD Anderson Cancer Center, Houston
| | - M-C Li
- National Cancer Institute, Bethesda
| | | | - K Meier
- Illumina Inc, Clinical Genomics, San Diego
| | | | | | | | | | - R Salgado
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | | | | | - P Stafford
- Caris Life Sciences Inc, Phoenix, Arizona, USA
| | - J Budczies
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - A Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - W Tom
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor
| | | | - X Z Wang
- EMD Serono Research and Development Institute, Inc., Billerica
| | | | - M Xie
- AstraZeneca Pharmaceuticals LP, Waltham, USA
| | - Q Xie
- General Dynamics Information Technology, Inc., Columbia, USA
| | - A Zehir
- Memorial Sloan Kettering Cancer Center, New York
| | - C Zhao
- Illumina Inc, Clinical Genomics, San Diego
| | - Y Zhao
- National Cancer Institute, Bethesda
| | | | - J Allen
- Friends of Cancer Research, Washington
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Vega DM, Yee LM, McShane LM, Williams PM, Chen L, Vilimas T, Fabrizio D, Funari V, Newberg J, Bruce LK, Chen SJ, Baden J, Carl Barrett J, Beer P, Butler M, Cheng JH, Conroy J, Cyanam D, Eyring K, Garcia E, Green G, Gregersen VR, Hellmann MD, Keefer LA, Lasiter L, Lazar AJ, Li MC, MacConaill LE, Meier K, Mellert H, Pabla S, Pallavajjalla A, Pestano G, Salgado R, Samara R, Sokol ES, Stafford P, Budczies J, Stenzinger A, Tom W, Valkenburg KC, Wang XZ, Weigman V, Xie M, Xie Q, Zehir A, Zhao C, Zhao Y, Stewart MD, Allen J. Aligning tumor mutational burden (TMB) quantification across diagnostic platforms: phase II of the Friends of Cancer Research TMB Harmonization Project. Ann Oncol 2021; 32:1626-1636. [PMID: 34606929 DOI: 10.1016/j.annonc.2021.09.016] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 09/21/2021] [Accepted: 09/26/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Tumor mutational burden (TMB) measurements aid in identifying patients who are likely to benefit from immunotherapy; however, there is empirical variability across panel assays and factors contributing to this variability have not been comprehensively investigated. Identifying sources of variability can help facilitate comparability across different panel assays, which may aid in broader adoption of panel assays and development of clinical applications. MATERIALS AND METHODS Twenty-nine tumor samples and 10 human-derived cell lines were processed and distributed to 16 laboratories; each used their own bioinformatics pipelines to calculate TMB and compare to whole exome results. Additionally, theoretical positive percent agreement (PPA) and negative percent agreement (NPA) of TMB were estimated. The impact of filtering pathogenic and germline variants on TMB estimates was assessed. Calibration curves specific to each panel assay were developed to facilitate translation of panel TMB values to whole exome sequencing (WES) TMB values. RESULTS Panel sizes >667 Kb are necessary to maintain adequate PPA and NPA for calling TMB high versus TMB low across the range of cut-offs used in practice. Failure to filter out pathogenic variants when estimating panel TMB resulted in overestimating TMB relative to WES for all assays. Filtering out potential germline variants at >0% population minor allele frequency resulted in the strongest correlation to WES TMB. Application of a calibration approach derived from The Cancer Genome Atlas data, tailored to each panel assay, reduced the spread of panel TMB values around the WES TMB as reflected in lower root mean squared error (RMSE) for 26/29 (90%) of the clinical samples. CONCLUSIONS Estimation of TMB varies across different panels, with panel size, gene content, and bioinformatics pipelines contributing to empirical variability. Statistical calibration can achieve more consistent results across panels and allows for comparison of TMB values across various panel assays. To promote reproducibility and comparability across assays, a software tool was developed and made publicly available.
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Affiliation(s)
- D M Vega
- Friends of Cancer Research, Washington, USA
| | - L M Yee
- National Cancer Institute, Bethesda, USA
| | | | - P M Williams
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick, USA
| | - L Chen
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick, USA
| | - T Vilimas
- Molecular Characterization Laboratory, Frederick National Lab for Cancer Research, Leidos Biomedical Research Inc., Frederick, USA
| | - D Fabrizio
- Foundation Medicine Inc., Cambridge, USA
| | - V Funari
- NeoGenomics Laboratories, Aliso Viejo, USA
| | - J Newberg
- Foundation Medicine Inc., Cambridge, USA
| | - L K Bruce
- NeoGenomics Laboratories, Aliso Viejo, USA
| | | | - J Baden
- Bristol Myers Squibb Co., Princeton, USA
| | | | - P Beer
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | - M Butler
- LGC Clinical Diagnostics, Gaithersburg, USA
| | | | | | - D Cyanam
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor, USA
| | - K Eyring
- Intermountain Precision Genomics, St. George, USA
| | - E Garcia
- Brigham and Women's Hospital, Boston, USA
| | - G Green
- Bristol Myers Squibb Co., Princeton, USA
| | | | - M D Hellmann
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - L A Keefer
- Personal Genome Diagnostics, Baltimore, USA
| | - L Lasiter
- Friends of Cancer Research, Washington, USA
| | - A J Lazar
- The University of Texas MD Anderson Cancer Center, Houston, USA
| | - M-C Li
- National Cancer Institute, Bethesda, USA
| | | | - K Meier
- Illumina Inc, Clinical Genomics, San Diego, USA
| | | | | | | | | | - R Salgado
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | | | - E S Sokol
- Foundation Medicine Inc., Cambridge, USA
| | | | - J Budczies
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - A Stenzinger
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - W Tom
- Clinical Sequencing Division, Thermo Fisher Scientific, Ann Arbor, USA
| | | | - X Z Wang
- EMD Serono Research and Development Institute, Inc., Billerica, USA
| | | | - M Xie
- AstraZeneca Pharmaceuticals LP, Waltham, USA
| | - Q Xie
- General Dynamics Information Technology, Inc., Columbia, USA
| | - A Zehir
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - C Zhao
- Illumina Inc, Clinical Genomics, San Diego, USA
| | - Y Zhao
- National Cancer Institute, Bethesda, USA
| | - M D Stewart
- Friends of Cancer Research, Washington, USA.
| | - J Allen
- Friends of Cancer Research, Washington, USA
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Garrido-Castro AC, Hughes ME, Cherniack A, Barroso-Sousa R, Bychkovsky BL, Di Lascio S, Berger A, Mittendorf EA, Files JL, Guo H, Kumari P, Cerami E, Krop IE, Wagle N, Lindeman NI, MacConaill LE, Dillon DA, Winer EP, Lin NU. Abstract PD9-01: Genomic alterations associated with loss of HR expression in metastatic breast cancer. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-pd9-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Discordance in hormone receptor (HR) status between primary (p) tumors and metastatic (m) recurrences has been widely described. Loss of estrogen and progesterone receptor expression occurs in ˜12% of asynchronous recurrences, leading to triple-negative (TN) status in the metastasis. Genomic mechanisms driving HR loss and its prognostic and therapeutic implications have not been fully elucidated.
Methods: Targeted NGS (Oncopanel, OP) at Dana-Farber Cancer Institute using multiplexed copy number variation and mutation (mut) detection across the full coding regions of 300 genes and selected intronic regions of 35 genes was prospectively performed on either archival primary or metastatic samples collected in patients (pts) with metastatic breast cancer (MBC). Receptor status at initial diagnosis and recurrence were reviewed using a 1% cutoff to define HR-positivity and excluding HER2+ cases. Fisher´s exact test was used to compare frequency of alterations. Tumor mut burden (TMB) was computed normalizing the sum of reported exon mut in each pt by the exonic-bait-set size of the panel.
Results: Between 8/2013-9/2016, 929 pts with MBC underwent OP testing. Of 517 pts diagnosed with primary HR+/HER2- breast cancer, at time of recurrence 388 remained HR+/HER2- (pHR+/mHR+), 39 switched to HR-/HER2- (pHR+/mTN, of which 23 (59%) had initial HR expression >10%), 10 switched to HER2+ and 80 had unknown metastatic receptor status. Comparison between primary samples in pHR+/mHR+ (n=245) and pHR+/mTN (n=24) showed that pHR+/mTN was significantly more likely to harbor mut in TP53, STK11 and MSH6, amplifications (amp) in CCNE1 and FGFR2, and less likely to have PIK3CA mut or CCND1 amp. Median TMB in primary pHR+/mHR+ was 6.05 mut/Mb (0-37.5) and 5.68 mut/Mb (1.2-10.9) in pHR+/mTN (p=0.45). Metastatic samples in pHR+/mTN (n=15) were enriched in ARID1A, CRTC2 and CDH1 mut compared to metastases (n=40) in pts who remained TN (pTN/mTN). Deletions in CDKN2A/2B and RB1, and mut in TP53, NOTCH2 and ERCC2 were more prevalent in recurrent tumors of pHR+/mTN than pHR+/mHR+. In metastases, TMB was higher in pHR+/mTN than pTN/mTN or pHR+/mHR+ (10.9 vs. 7.0 vs. 7.3 mut/Mb, respectively; p=0.002). Median OS from initial diagnosis was 9.4 yrs in pHR+/mTN, less than pHR+/mHR+ (15.9 yrs; p=0.009) and greater than pTN/mTN (4.3 yrs; p=0.008). Median OS from MBC diagnosis was 1.8 yrs in pHR+/mTN, less than pHR+/mHR+ (6.4 yrs; p=0.001) but not significantly different than pTN/mTN (1.5 yrs, p=0.3).
pHR+/mHR+ (n=245)pHR+/mTN (n=24)p value NFreq (%)NFreq (%) MutTP536325.72083.3<0.00001PIK3CA9438.4000GATA33514.3000.053STK1152.0312.50.026MSH641.6312.50.017AmpFGFR20028.30.008CCNE10028.30.008CCND14418.0000.018
Conclusion: Targeted NGS shows that alterations in DNA damage and cell-cycle regulation pathways in primary HR+ tumors are associated with HR loss in the metastatic setting. Primary tumors that lose HR appear more similar to basal-like than luminal tumors, despite >10% baseline HR expression in most pts, and once metastatic, survival is comparable to pTN/mTN. Metastases with HR loss have higher TMB than those that remain HR+ or TN throughout the course of the disease. These findings, if confirmed, may influence treatment and pt selection for clinical trials.
Citation Format: Garrido-Castro AC, Hughes ME, Cherniack A, Barroso-Sousa R, Bychkovsky BL, Di Lascio S, Berger A, Mittendorf EA, Files JL, Guo H, Kumari P, Cerami E, Krop IE, Wagle N, Lindeman NI, MacConaill LE, Dillon DA, Winer EP, Lin NU. Genomic alterations associated with loss of HR expression in metastatic breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr PD9-01.
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Affiliation(s)
- AC Garrido-Castro
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - ME Hughes
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - A Cherniack
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - R Barroso-Sousa
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - BL Bychkovsky
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - S Di Lascio
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - A Berger
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - EA Mittendorf
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - JL Files
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - H Guo
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - P Kumari
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - E Cerami
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - IE Krop
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - N Wagle
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - NI Lindeman
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - LE MacConaill
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - DA Dillon
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - EP Winer
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
| | - NU Lin
- Dana-Farber Cancer Institute; Harvard Medical School, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Dana-Farber Cancer Institute, Boston, MA; Brigham and Women´s Hospital; Harvard Medical School, Boston, MA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA
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Barroso-Sousa R, Tyekucheva S, Pernas-Simon S, Exman P, Jain E, Garrido-Castro AC, Hughes M, Bychkovsky B, Di Lascio S, Umeton R, Files J, Lindeman NI, MacConaill LE, Hodi FS, Krop IE, Dillon D, Winer EP, Wagle N, Lin NU, Mittendorf EA, Tolaney SM. Abstract P5-12-02: PTEN alterations and tumor mutational burden (TMB) as potential predictors of resistance or response to immune checkpoint inhibitors (ICI) in metastatic triple-negative breast cancer (mTNBC). Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p5-12-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: To date no biomarker has been identified that predicts response to ICI in mTNBC. This study aimed to explore if tumor genomic alterations correlate with efficacy of PD-1/PD-L1 inhibition in patients (pts) with mTNBC. Methods: Demographic, treatment response, and long-term outcome data were collected on patients with mTNBC treated at Dana-Farber Cancer Institute (DFCI) under several clinical trials incorporating PD-1/PD-L1 inhibitors, given as monotherapy or combined with chemotherapy (CT). Pts included in this analysis had available results of targeted exon sequencing performed using Oncopanel, our institutional gene sequencing panel, on archival tumor tissue. TMB was calculated by determining the number of non-synonymous somatic mutations that occur per megabase of exonic sequence data across all genes on the panel. High TMB was defined as 310 mutations/megabase. TMB and gene alterations were correlated with objective response rate (ORR) per RECIST 1.1, progression-free (PFS) and overall survival (OS). Results: A total of 50 pts with mTNBC were included in this analysis. At baseline, the median age was 55.9 years (31.8–75.9), 60% had ECOG 0 and 40% had ECOG 1, 72% had visceral metastasis, and 46% had received 31 prior lines of systemic therapy in the metastatic setting. While 26% of pts received monotherapy [pembrolizumab (n=7, NCT02447003); atezolizumab (n=6; NCT01375842)], 74% received combination with CT [pembrolizumab plus eribulin (n=31; NCT02513472); atezolizumab plus nab-paclitaxel (n=6; NCT01633970)]. PTEN alterations were present in 30% of pts (mutations = 7; one copy number loss = 7; two copy number loss = 1). Median follow-up was 14 months (1–40). Pts with tumors harboring PTEN alterations had lower ORR (7% vs 57%; P<0.001), shorter median PFS (2.3 vs 6.3 months; P=0.027), and shorter median OS (8.1 vs 20.1 months; P=0.012) compared to pts without PTEN alterations. The median TMB was 6.6 mut/Mb (1.2–50.8), and 23% of pts had a high TMB. While high TMB was not associated with higher ORR (P=0.56), it was associated with better median PFS (16.5 vs 2.4 months; P=0.017), and better median OS (not reached vs 13.5 months; P=0.026). Both PTEN status and TMB remained significantly associated with PFS in the multivariable model. Only PTEN status remained significantly associated with OS in the multivariable analysis with the same covariables. Ongoing analysis to better understand if these predictors are specific for predicting benefit to immunotherapy and/or a marker of chemotherapy resistance will be presented at the symposium. Conclusion: PTEN genomic alterations and TMB may impact benefit from PD-1/PD-L1 inhibitors largely administered with chemotherapy in mTNBC. These observations warrant prospective validation and may inform the importance of stratifying pts according to these characteristics in future randomized studies with ICI.
Table 1.Multivariable analysis for PFS Hazard ratioConfidence Intervalp-valueCombination therapy0.420.16 – 1.130.009Visceral metastasis1.310.63 – 2.770.46Previous lines of therapy1.020.09 – 0.700.85ECOG 12.11.06 – 1.280.034PTEN altered3.741.65 – 8.440.002Hypermutated tumors0.850.75 – 0.970.011
Citation Format: Barroso-Sousa R, Tyekucheva S, Pernas-Simon S, Exman P, Jain E, Garrido-Castro AC, Hughes M, Bychkovsky B, Di Lascio S, Umeton R, Files J, Lindeman NI, MacConaill LE, Hodi FS, Krop IE, Dillon D, Winer EP, Wagle N, Lin NU, Mittendorf EA, Tolaney SM. PTEN alterations and tumor mutational burden (TMB) as potential predictors of resistance or response to immune checkpoint inhibitors (ICI) in metastatic triple-negative breast cancer (mTNBC) [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-12-02.
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Affiliation(s)
- R Barroso-Sousa
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - S Tyekucheva
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - S Pernas-Simon
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - P Exman
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - E Jain
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - AC Garrido-Castro
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - M Hughes
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - B Bychkovsky
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - S Di Lascio
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - R Umeton
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - J Files
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - NI Lindeman
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - LE MacConaill
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - FS Hodi
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - IE Krop
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - D Dillon
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - EP Winer
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - N Wagle
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - NU Lin
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - EA Mittendorf
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
| | - SM Tolaney
- Dana-Farber Cancer Institute, Boston, MA; Harvard Medichal School, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; Broad Institute of MIT and Harvard, Cambridge, MA; Brigham and Women´s Hospital, Boston, MA; Oncology Institute of Southern Switzerland, Bellinzona, Switzerland; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston
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Wagle N, Berger MF, Davis MJ, Blumenstiel B, DeFelice M, Hahn WC, Meyerson M, Gabriel SB, MacConaill LE, Garraway LA. Tumor genomic profiling of FFPE samples by massively parallel sequencing. J Clin Oncol 2011. [DOI: 10.1200/jco.2011.29.15_suppl.10502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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