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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. OT1-19-01-OT1-19-01
    Abstract: The Metastatic Breast Cancer Project (MBCproject) is an ongoing research study that directly engages patients (pts) through social media and advocacy groups, and empowers them to share their samples, clinical information, and experiences. The goal is to create a publicly available dataset of linked genomic, clinical, and pt-reported data to enable research. In collaboration with pts, advocates, and advocacy groups, a website (MBCproject.org) was developed that allows pts with metastatic breast cancer (MBC) anywhere in the US or Canada to register. From 10/20/15-6/1/21, 6100 patients with MBC registered for the MBCproject. Registered pts are sent an online consent form that asks for permission to obtain and analyze their medical records and samples. Consented pts are sent a saliva and/or blood kit and asked to mail back a saliva sample, which is used to extract germline DNA, and/or a blood sample, which is used to extract germline DNA and cell free DNA (cfDNA). We contact participants’ medical providers to obtain medical records and a portion of their stored tumor biopsies. 3456 pts receiving care at over 1700 different institutions have consented to share medical records and tumor/saliva/blood samples and to have genomic analysis performed. Whole exome sequencing (WES) is performed on tumor DNA, germline DNA, and cfDNA; transcriptome sequencing (RNA-seq) is performed on tumor RNA. Medical records and pt-reported data are abstracted to create a detailed clinical record for each pt. Table 1 highlights clinical data collection, biospecimen acquisition, and genomic data generation to date. Examples of clinicogenomic analyses are shown in Table 2. De-identified linked genomic, clinical, and pt-reported data is shared regularly via public databases (mbcproject.org, cBioPortal, dbGaP, NCI Genomic Data Commons). To date, this data has been cited in over 40 publications. Study updates are shared with participants regularly. The MBCproject continues to enroll new patients, generate additional data, and perform integrated clinical and genomic analyses with the goal of building a dataset that is representative of patients with MBC. We have partnered with over 30 non-profit breast cancer advocacy groups. We also have several community engagement efforts underway to more directly reach patients in underrepresented communities, including partnerships with faith-based organizations and colleges/universities, as well as targeted engagement with the African American community. In addition, in partnership with Latinx patients, advocates, and researchers, a Spanish-language version of the MBCproject was launched in June 2021. Partnering directly with pts rapidly enables thousands of pts to remotely share tumors, blood, saliva, and medical records to accelerate research. The resulting publicly shared clinically annotated dataset is a resource that allows researchers to identify patients with specific phenotypes, who have often been challenging to identify with traditional approaches. Clinical data collection, biospecimen acquisition, and genomic data generation:NumberConsent signed (US & CA)3456 ptsPatient-reported data collected (demographics, diagnosis details, receptor status, clinical experiences, pathology details, sites of metastasis, treatments with start and stop dates3456 ptsMedical record received from clinical institution1365 ptsSaliva sample received from pt2124 ptsBlood sample received from pt1114 ptsTumor samples received from clinical institution631 tumor samples from 398 ptsWES from germline complete505 germline samplesWES from tumor (primary and metastatic) samples complete429 tumor samplesRNA-seq from tumor (primary and metastatic) samples complete351 tumor samplesULP-WGS from cfDNA (taken in metastatic setting) complete953 blood samplesWES from circulating tumor DNA (taken in metastatic setting) complete144 blood samples CohortConsented (US & CA)Tumor WES completeTumor RNA-seq completePts diagnosed & lt; 40 yrs of age114615292De novo MBC1207158109Late recurrence ( & gt;5 years after dx)9099141Long term survivors (MBC & gt; 10yrs)163138Resistance to CDK4/6 inhibitors70914839NED at time of f/u survey4305445Triple Negative Breast Cancer3304632Patients with 2 or more tumor biopsies/cfDNA samples collected by the MBCproject29810882 Citation Format: Nikhil Wagle, Corrie Painter, Elana Anastasio, Mary McGillicuddy, Esha Jain, Tania G. Hernandez, Brett N. Tomson, Beena Thomas, Daniel Abravanel, Dewey Kim, Sara Balch, Alyssa L. Damon, Shahrayz Shah, Rafael Ramos, Delia Sosa, Ilan Small, Colleen Nguyen, Sarah Winnicki, Taylor Cusher, Parker Chastain, Michael Dunphy, Jorge Gomez Tejeda Zanudo, Netsanet Tsegai, Lauren Sterlin, Ulcha F. Ulysse, Imani Boykin, Oyin Alao, Todd R. Golub. The metastatic breast cancer project: Generating the clinical and genomic landscape of metastatic breast cancer through patient-partnered research [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr OT1-19-01.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 2
    In: Nature Medicine, Springer Science and Business Media LLC, Vol. 26, No. 2 ( 2020-02), p. 181-187
    Type of Medium: Online Resource
    ISSN: 1078-8956 , 1546-170X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 78, No. 13_Supplement ( 2018-07-01), p. 5371-5371
    Abstract: The Metastatic Breast Cancer Project (MBCproject) is a research study that directly engages patients (pts) through social media and advocacy groups, and empowers them to share samples, clinical data, and experiences. The goal is to create a publicly available database of genomic, molecular, clinical, and patient-reported data to enable research. Working with pts and advocates, a website (MBCproject.org) was developed that allows pts with metastatic breast cancer (MBC) to register. Registered pts are sent an online consent form that asks for permission to obtain and analyze their medical records and samples. Once enrolled, pts are sent a saliva kit and asked to mail back a saliva sample, which is used to extract germline DNA. We contact participants' medical providers and obtain medical records and a portion of their stored tumor biopsies. Pts may be asked to mail in a blood sample, which is used to extract cell free DNA (cfDNA). Whole-exome sequencing (WES) is performed on tumor DNA, germline DNA, and cfNDA; transcriptome sequencing is performed on tumor RNA. Clinically annotated genomic data are used to study specific pt cohorts (including outliers) and to identify mechanisms of response and resistance to therapies. All de-identified data are shared via public databases. Study updates are shared with participants regularly. From 10/2015-11/2017, 4237 MBC pts registered, representing over 1,000 institutions. 95% answered the 16-question survey about their cancer, treatments, and demographic information. 2471 (58%) completed the consent form. 2,136 saliva kits were mailed to pts and 1,523 saliva samples were sent in (71%). 408 blood kits were mailed to pts and 175 blood samples have been received for cfDNA analysis. To date, we have obtained medical records from 311 pts and 190 tumors from 127 pts. In 10/2017, all data generated so far were publicly released on cbioportal.org, including WES for 103 tumors from 78 pts linked to clinical data including pathology (22 elements), medical record abstraction including all treatments and timelines/durations (67 elements), and patient-reported data (11 elements). 81% of biopsies included in this release were from the breast and 19% from metastatic sites. 75% were obtained prior to any therapy, 24% following therapy. New data will be released 4/2018 and every six months thereafter, as they are generated. Additional patient-reported data, including treatments, side effects, quality of life, family history, pregnancies, and sites of metastasis, will also be collected and shared. In summary, a patient-driven approach enabled rapid identification of thousands of MBC pts willing to share samples and clinical data. Remote acquisition of medical records, saliva, blood, and tumor tissue for pts across the U.S. is feasible. This shared clinico-genomic database should enable research in MBC and may serve as a model for patient-driven research in other cancers. Citation Format: Nikhil Wagle, Corrie Painter, Elana Anastasio, Michael Dunphy, Mary McGillicuddy, Rachel Stoddard, Esha Jain, Dewey Kim, Simona Di Lascio, Brett N. Tompson, Sara Balch, Beena Thomas, Priti Kumari, Shawn Johnson, Jamie Holloway, Ofir Cohen, Erik H. Knelson, Katie Larkin, Sam Pollock, Alicia Wong, Samira Bahl, Simone Maiwald, Andrew Zimmer, Esme O. Baker, Jen Hendry Lapan, Scott Sutherland, Scott Sassone, Viktor Adalsteinsson, Eric S. Lander, Todd R. Golub. The Metastatic Breast Cancer Project: Partnering with patients to accelerate progress in cancer research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5371.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 4_Supplement ( 2020-02-15), p. PD8-01-PD8-01
    Abstract: Background: The Metastatic Breast Cancer Project (MBCproject) is a research study that directly engages patients (pts) through social media and advocacy groups, and empowers them to share their samples, clinical information, and experiences. The goal is to create a publicly available dataset of linked genomic, clinical, and pt-reported data to enable research. Methods: In collaboration with pts, advocates, and advocacy groups, a website (MBCproject.org) was developed that allows pts with metastatic breast cancer (MBC) anywhere in the U.S. or Canada to register. Registered pts are sent an online consent form that asks for permission to obtain and analyze their medical records and samples. Once enrolled, pts are sent a saliva kit and a blood kit and asked to mail back a saliva sample, which is used to extract germline DNA, and/or a blood sample, which is used to extract germline DNA and cell free DNA (cfDNA). We contact participants’ medical providers and obtain medical records and a portion of their stored tumor biopsies. Whole exome sequencing (WES) is performed on tumor DNA, germline DNA, and cfDNA; transcriptome sequencing (RNA-seq) is performed on tumor RNA. Medical records and pt-reported data are abstracted to create a detailed clinical record for each pt. All de-identified data are shared regularly via public databases (cbioportal.org, mbcproject.org, dbGaP, NCI Genomic Data Commons) without restrictions. Study updates are shared with participants regularly. Results: From 10/20/15-7/8/19, 5357 women and men with MBC registered. 3290 pts receiving care at over 1700 different institutions consented to share medical records and tumor/saliva/blood samples, and to have genomic analysis performed. Details of clinical data collection, biospecimen acquisition, and genomic data generation to date are outlined in the Table. WES from 463 tumors obtained from 326 pts have been generated (with matched germline WES), including 61 pts with 2 timepoints, 19 pts w 3 timepoints, and 11 pts w 4+ timepoints. 278 tumor exomes were from the breast/regional lymph nodes, 63 from distant metastatic sites and 122 from cfDNA. 110 tumor exomes were from samples obtained before the diagnosis of MBC, 258 from after the diagnosis of MBC, and 95 to be determined (TBD). 161 tumor exomes were obtained prior to any therapy, 204 following some therapy, and 98 TBD. Clinically annotated genomic data are used to study specific pt cohorts (including rare subsets and outliers) and to identify mechanisms of response and resistance to therapies. Examples of the clinical and genomic analyses that will be presented include: - Pts diagnosed & lt;40 yrs of age (1108 pts enrolled; 120 with tumor WES) - de novo MBC (1122 pts enrolled; 121 with tumor WES) - Late recurrence, & gt;5 yrs after diagnosis (830 pts enrolled; 77 with tumor WES) - Long-term survivors, & gt;10 yrs with MBC (159 pts enrolled; 11 with tumor WES) - Resistance to CDK4/6 inhibitors (709 pts enrolled; 148 with tumor WES) Conclusions: Partnering directly with pts enables rapid identification of thousands of pts willing to share tumors, blood, saliva, and medical records to accelerate research. This approach allows for identification of patients with specific phenotypes, who have been challenging to identify with traditional approaches. Remote acquisition of medical records and saliva/blood/tumor samples is feasible. This clinically annotated dataset is a shared resource for the research community. Table 1Clinical data collection, biospecimen acquisition, and genomic data generation:NumberConsent signed3290 ptsSurvey #1 submitted3290 pts(demographics, diagnosis details, receptor status, clinical experiences)Survey #2 submitted1435 pts(pathology details, sites of metastasis, treatments with start and stop dates)Medical record received1307 ptsSaliva sample received1976 ptsBlood sample received1121 ptsTumor samples received482 tumor samples from 346 ptsDigital image of tumor slide H & E generated482 tumor samplesWES from germline complete310 germline samplesWES from tumor sample complete341 tumor samplesRNA-seq from tumor sample complete229 tumor samplesULP-WGS from cfDNA complete947 blood samplesWES from circulating tumor DNA complete122 blood samples Citation Format: Nikhil Wagle, Corrie Painter, Elana Anastasio, Michael Dunphy, Mary McGillicuddy, Esha Jain, Tania G Hernandez, Sara Balch, Beena Thomas, Dewey Kim, Alyssa L. Damon, Shahrayz Shah, Brett N. Tomson, Rachel Stoddard, Colleen Nguyen, Jorge Buendia-Buendia, Ofir Cohen, Jorge Gomez Tejeda Zanudo, Netsanet Tsegai, Lauren Sterlin, Ulcha Fergie Ulysse, Kathryn Sine, Oyin Alao, Jacqueline Lucia, Eric S. Lander, Todd R. Golub. The metastatic breast cancer project: Generating the clinical and genomic landscape of metastatic breast cancer through patient-partnered research [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr PD8-01.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2020
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  • 5
    In: Nature, Springer Science and Business Media LLC, Vol. 485, No. 7399 ( 2012-5), p. 502-506
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
    RVK:
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. PD6-02-PD6-02
    Abstract: Background: The Metastatic Breast Cancer Project (MBCproject) is an ongoing research study that directly engages patients (pts) through social media and advocacy groups, and empowers them to share their biospecimens, clinical history, and experiences. The goal is to create a publicly available dataset of linked clinicogenomic and pt-reported data to enable research. From 2015-10-20 to 2020-3-31, 3,245 MBC pts who received treatment at & gt;1,700 institutions, consented to share medical records, pt-reported data, and tumor/saliva/blood samples and to have genomic analysis performed. Here, we describe an analysis of the clinical and genomic features in this initial MBCproject cohort. Methods: We performed whole exome sequencing (WES) on 379 tumors (with matched germline) from 301 pts, 377 germline samples and RNA sequencing (RNA-seq) from 200 tumors from 141 pts. In 14 pts, we characterized 2 or more serial tumor biopsies. WES data was analyzed for mutations and copy number variants. RNA-seq data was used to call fusions, research-grade PAM50, and gene set enrichment scores. Medical records and pt-reported data were abstracted to create detailed clinical record for each pt. Results: WES of 249 metastatic tumors identified 34 cancer genes (e.g., TP53, PIK3CA, CDH1, PTEN, AKT1, NF1, ESR1) that were significantly recurrently altered. Potential clinically actionable alterations were identified in 39% of metastatic tumors. 45 tumors (22.5%) had fusions with known functional effects and 24 (12%) had in-frame fusions in key cancer genes like FANCD2 (3), FGFR3 (2), ESR1 (1), BRAF (1), and NCOR1 (1). PAM50 classification suggested depletion of Luminal A subtype in this cohort compared to TCGA breast cancer cohort (p-value & lt;0.05). Of 29 pts with paired RNA-seq biopsies, 10 pts showed a PAM50 subtype switch [LumB to Basal = 1, Her2 to Basal =1, Basal to LumA = 1, Her2 to LumA = 2, LumA/B to Her2 = 3, LumA to LumB = 2]. Germline analysis showed that 30.2% (114/377) of pts had at least one pathogenic variant in a cancer predisposition gene, including BRCA1/BRCA2 (5%), NF1 (5.8%), ATM (1.06%) and PALB2 (1.59%). In 10.9% pts (33/301), pathogenic variants in a cancer predisposition gene was accompanied by an apparent somatic loss of function event in the same gene. There was ~ 90% concordance between abstracted features (e.g., receptor status, histology, diagnosis dates, metastatic sites) and pt-reported data, enabling the use of both data types for integrated analyses. The utility of integrated analyses is illustrated by a case study of a pt who had an initial diagnosis of ductal carcinoma in situ and developed metastatic disease 5.5 yrs later. Analysis of 3 metastatic tumors (WES and RNA-seq) and a circulating tumor DNA sample (WES only) from this pt collected over the course of therapy revealed evidence of tumor evolution and multiple mechanisms of resistance to endocrine therapies and CDK4/6 inhibitors, including 2 distinct acquired ESR1 mutations, an activating BRAF fusion, and estrogen receptor (ER) loss by immunohistochemistry with concomitant development of ESR1-PLEKHG1 in-frame fusion. RNA-seq data also showed a PAM50 luminal phenotype and a persistent ER. signature throughout despite the apparent ER loss, suggesting compensation by the ESR1 fusion. Analyses of 13 additional pts with serial biopsies will be presented. Integrated analyses of several additional cohorts of interest, such as de novo MBC (91 pts), resistance to CDK4/6 inhibitors (39 pts), and pts diagnosed with breast cancer & lt;40 yrs, will also be presented. Conclusion: This clinicogenomic dataset generated by partnering directly with pts was uniquely built with pt-reported data, medical record data, and multi-omic characterization, and serves as a powerful tool for researchers to harness to accelerate discoveries in MBC. Citation Format: Esha Jain, Dewey Kim, Jorge Gomez Tejeda Zanudo, Sara Balch, Mary McGillicuddy, Brett N. Tomson, Tania G. Hernandez, Beena S. Thomas, Daniel L. Abravanel, Shahrayz Shah, Rafael Ramos, Delia Sosa, Ilan Small, Lauren Sterlin, Sarah Winnicki, Colleen Nguyen, Micheal Dunphy, Elana Anastasio, Todd R. Golub, Corrie A. Painter, Nikhil Wagle. The metastatic breast cancer project - Expanding the clinical, genomic, and transcriptomic landscape of metastatic breast cancer through patient-partnered research [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD6-02.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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    detail.hit.zdb_id: 410466-3
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