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  • 1
    In: Nature Methods, Springer Science and Business Media LLC, Vol. 19, No. 3 ( 2022-03), p. 262-267
    Type of Medium: Online Resource
    ISSN: 1548-7091 , 1548-7105
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 2
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 371, No. 6528 ( 2021-01-29)
    Abstract: Methods for highly multiplexed RNA imaging are limited in spatial resolution and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to the mouse brain, which yielded the readout of thousands of genes, including splice variants. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in the neurons of the mouse hippocampus, revealing patterns across multiple cell types, layer-specific cell types across the mouse visual cortex, and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus, ExSeq enables highly multiplexed mapping of RNAs from nanoscale to system scale.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2021
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. PD6-03-PD6-03
    Abstract: Metastatic breast cancer (MBC) remains incurable due to inevitable development of therapeutic resistance. Although tumor cell intrinsic mechanisms of resistance in MBC are beginning to be elucidated by bulk sequencing studies, the roles of the tumor microenvironment and intratumor heterogeneity in therapeutic resistance remain underexplored due to both technological barriers and limited availability of samples. To comprehensively capture these characteristics we have adapted a research biopsy protocol to collect tissue for an array of single-cell and spatio-molecular assays whose performance we have optimized for MBC, including single-cell and single-nucleus RNA sequencing, Slide-Seq, Multiplexed Error-Robust FISH (MERFISH), Expansion Sequencing (ExSEQ), Co-detection by Indexing (CODEX) and Multiplexed Ion Beam Imaging (MIBI). To date, we have successfully performed single-cell or single-nucleus RNAseq in 67 MBC biopsies and generated detailed accompanying clinical annotations for each. These samples provide a representation of the clinicopathological diversity of MBC including different breast cancer subtypes (44 HR+/HER2-, 3 HR-/HER2+, 3 HR+/HER2+, 16 TNBC, 1 unknown), common anatomic sites of metastasis (37 liver, 9 axilla, 7 breast, 5 bone, 3 chest wall, 3 neck, 1 brain, 1 lung, 1 skin), metastatic presentations (53 recurrent, 14 de novo) and histologic subtypes in the breast (45 IDC, 7 ILC, 6 mixed, 3 DCIS, 1 mucinous, 5 unknown/NA). Following optimization, both single-cell and single-nucleus RNA seq perform well in these MBC biopsies recovering all expected cell types including the malignant, stromal (e.g. fibroblasts, endothelial cells), myeloid (e.g. monocytes, macrophages) and lymphoid compartments (e.g. T cells, B cells, NK cells) as well as relevant oncogenic programs (e.g. cell cycle programs in all compartments; EMT-like and ER signaling programs in the malignant compartment, immune checkpoint programs in the lymphoid compartment; and fibroblast activation and vascular homeostasis programs in the stromal compartment). In addition to differences between the two techniques, these data demonstrate substantial intratumor heterogeneity in cell type composition. For example in liver biopsies the average number of cells per sample compartment by single nucleus RNA-seq was 6745 malignant (56%, SD 4216), 4637 stromal (41%, SD 3727), 1196 lymphoid (8%, SD 1617) and 874 myeloid (6%, SD 852); in breast biopsies the average number of cells per compartment by single nucleus RNA-seq was 6421 malignant (70%, SD 3497), 1628 stromal (24%, SD 117), 333 lymphoid (4%, SD 170) and 213 myeloid (3%, SD 117). Additionally, we find both inter- and intra-tumor heterogeneity in expression patterns and programs including, for example, expression of ER, PR and HER2 within clinical receptor subtypes (log normalized counts for ER expression in tumor cells by single cell RNA-seq: HR+/HER2- 0.921 (SD 0.714); HR+/HER2+ 0.768 (SD 0.624); HR-/HER2+ 0.018 (SD 0.122); and HR-/HER2- 0.005 (SD 0.066). For a subset of 13 biopsies we are also completing the spatiomolecular characterization methods on serial sections of a single adjacent biopsy. This unique experimental setup was designed to enable efficient comparison and integration of these assays. In spite of differences between experimental techniques and readouts, cell typing can be approached by annotation transfer from matching single cell or single nucleus RNAseq data, enabling exploratory analyses including evaluation of spatial phenotypes and cell type colocalization. Overall, these single cell and spatial data afford a comprehensive atlas including cell types, cell states/programs, cell interactions and spatial organization in MBC lesions. Future analyses will include serial biopsies over time and integration of clinicopathologic data including therapeutic response and resistance. Citation Format: Daniel L Abravanel, Johanna Klughammer, Timothy Blosser, Yury Goltsev, Sizun Jiang, Yunjao Bai, Evan Murray, Shahar Alon, Yi Cui, Daniel R Goodwin, Anubhav Sinha, Ofir Cohen, Michal Slyper, Orr Ashenberg, Danielle Dionne, Judit Jané-Valbuena, Caroline BM Porter, Asa Segerstolpe, Julia Waldman, Sébastien Vigneau, Karla Helvie, Allison Frangieh, Laura DelloStritto, Miraj Patel, Jingyi We, Kathleen Pfaff, Nicole Cullen, Ana Lako, Madison Turner, Isaac Wakiro, Sara Napolitano, Abhay Kanodia, Rebecca Ortiz, Colin MacKichan, Stephanie Inga, Judy Chen, Aaron R Thorner, Asaf Rotem, Scott Rodig, Fei Chen, Edward S Boyden, Garry P Nolan, Xiaowei Zhuang, Orit Rozenblatt-Rosen, Bruce E Johnson, Aviv Regev, Nikhil Wagle. Spatio-molecular dissection of the breast cancer metastatic microenvironment [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 PD6-03.
    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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  • 4
    In: HFSP Journal, Informa UK Limited, Vol. 2, No. 4 ( 2008-08), p. 220-237
    Type of Medium: Online Resource
    ISSN: 1955-2068
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2008
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  • 5
    Online Resource
    Online Resource
    American Society for Clinical Investigation ; 2015
    In:  Journal of Clinical Investigation Vol. 125, No. 6 ( 2015-6-1), p. 2484-2496
    In: Journal of Clinical Investigation, American Society for Clinical Investigation, Vol. 125, No. 6 ( 2015-6-1), p. 2484-2496
    Type of Medium: Online Resource
    ISSN: 0021-9738
    Language: English
    Publisher: American Society for Clinical Investigation
    Publication Date: 2015
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  • 6
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2012
    In:  Clinical Cancer Research Vol. 18, No. 10_Supplement ( 2012-05-15), p. A32-A32
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 18, No. 10_Supplement ( 2012-05-15), p. A32-A32
    Abstract: Breast cancer is the leading cause of cancer-related deaths among women worldwide. While mortality rates have improved over the past thirty years, physicians still lack effective tools for the prevention or treatment of breast cancer recurrence. An essential first step in designing such therapies will be to elucidate the pathways that contribute to therapeutic resistance, dormancy, and recurrence. Our laboratory has developed a series of mouse models that permit the conditional activation of oncogenes in the mammary glands of mice and can be used to recapitulate key features of breast cancer progression including dormancy and recurrence after targeted therapy. In the MMTV-rtTA;TetO-neu (MTB/TAN) model, treatment with doxycycline (dox) permits mammary specific activation of HER2/neu and drives primary tumor formation. Upon removal of dox and resultant down-regulation of HER2/neu, primary tumors regress as a consequence of oncogene addiction. However, a small population of tumor cells persists in a histologically identifiable residual lesion. After a period of cellular dormancy, residual tumor cells reenter the cell cycle in a stochastic manner and give rise to recurrent tumors, independent of HER2/neu signaling. Recent evidence suggests that Notch signaling may play a role in breast cancer recurrence. For example, elevated Notch signaling in ductal carcinoma in situ lesions has been found to be associated with early recurrence after surgery. To build on these data, we analyzed microarray datasets from breast cancer patients and found that NOTCH1 expression levels are correlated with recurrence risk, suggesting that this pathway may play a role in human disease. Furthermore, in our mouse model system, we have found that Notch signaling is activated following HER2/neu downregulation. To assess the functional significance of this phenomenon, we performed in vitro clonogenic assays and in vivo recurrence assays. Activation of Notch signaling accelerated colony formation and recurrence, whereas Notch repression inhibited colony formation and recurrence. These data suggest that Notch signaling is both necessary and sufficient to promote recurrence following HER2/neu downregulation. Taken together, our data support a model in which the Notch signaling pathway provides a mechanism by which HER2/neu driven tumors can escape therapy and cause recurrent disease. As gamma secretase inhibitors are currently in late-stage clinical trials for the treatment of breast cancer, work to determine whether Notch signaling contributes to the survival and recurrence of breast cancer cells could have a significant clinical impact. The observation that Notch signaling is required for recurrence would raise the possibility that these drugs could be used to target residual tumor cells and prevent breast cancer recurrence.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
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  • 7
    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:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 8
    Online Resource
    Online Resource
    Elsevier BV ; 2018
    In:  Journal of Thoracic Oncology Vol. 13, No. 8 ( 2018-08), p. e131-e133
    In: Journal of Thoracic Oncology, Elsevier BV, Vol. 13, No. 8 ( 2018-08), p. e131-e133
    Type of Medium: Online Resource
    ISSN: 1556-0864
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 4_Supplement ( 2022-02-15), p. P4-01-06-P4-01-06
    Abstract: Background: Multiple studies in HR+/HER2- MBC have identified a variety of genomic resistance mechanisms to CDK4/6 inhibitors, but the complete landscape of resistance mechanisms is still being elucidated. A clinical trial evaluating the benefit of continued CDK4/6 blockade after disease progression on a prior CDK4/6i provides a unique setting to study the landscape of resistance to CDK4/6 inhibitors. Methods: We analyzed genomic data from a Phase I/II trial (NCT02871791) of triplet therapy: palbociclib (CDK4/6i) + everolimus (mTOR inhibitor) + exemestane (endocrine therapy) in patients (pts) with HR+/HER2− MBC who had progressed on prior CDK4/6i. For the phase IIa pts, a research tumor biopsy at baseline and serial research blood collection for circulating tumor DNA (ctDNA) analysis were mandatory. Additionally, when possible, we acquired tumor biopsies that preceded the patient's prior exposure to a CDK4/6i, which would allow us to identify acquired genomic resistance mechanisms to the prior CDK4/6i. The genomic data consisted of whole exome sequencing (WES) data from 23 tumor biopsies (19 pts) and 17 ctDNA samples (12 pts), and RNA sequencing (RNA-seq) from 27 tumors (22 pts). 4 pts had a biopsy or ctDNA sample at baseline and a biopsy that preceded their prior exposure to a CDK4/6i. WES data was used to identify mutations and copy number alterations, which was used to perform evolutionary analysis on the pts with multiple biopsies or ctDNA samples. RNA-seq data was used to make research-grade PAM50 calls and calculate gene expression signature scores. Results: For the baseline biopsy or ctDNA sample of most pts, we found genomic alterations in previously identified pathways and genes that could explain the tumor’s resistance to the prior CDK4/6i (16/19 pts) or to the prior endocrine therapies (17/19 pts). These pathways and genes include the PI3K/AKT/MTOR pathway (e.g. PTEN, AKT), the RAS/MAPK pathway (e.g. NF1), receptor tyrosine kinases (RTKs) (e.g. ERBB2, FGFR1), cell-cycle genes (e.g. RB1), and estrogen receptor signaling (e.g. ESR1, FOXA1). Two novel potential genomic resistance mechanisms in these pathways were identified: an activating MTOR T1977R mutation (PI3K/AKT/MTOR pathway) and an activating BRAF V600E mutation (RAS/MAPK pathway). Notably, the patient with the activating MTOR mutation responded to the triplet therapy (progression free survival of 8 months), consistent with prior work linking these mutations to sensitivity to everolimus. Evolutionary analysis revealed metastatic tumors with distinct lineages but derived from the same primary tumor (e.g. two lineages, one with activating ESR1 mutations and one with an activating MTOR mutation), some of which converged to activating the same pathway (e.g. two lineages with distinct activating ERBB2 mutations). Transcriptomic analysis found that activating mutations in ERBB2 and BRAF were correlated with the HER2-E PAM50 and that the expression signatures for MTOR and RTKs were correlated with clinical benefit to triplet therapy. Conclusions: Analysis of the genomic and transcriptomic data of baseline biopsies and ctDNA samples from NCT02871791 not only recapitulates genes and pathways previously implicated in resistance to endocrine therapy and CDK4/6i but also identified novel potential mechanisms of resistance including activating mutations in BRAF and MTOR. Evolutionary analysis demonstrates the complexity of resistance including both convergent and divergent paths to resistance. Integration of genomic and transcriptomic data may better identify pts likely to respond to CDK4/6i combinations. Citation Format: Jorge Gomez Tejeda Zanudo, Romualdo Barroso-Sousa, Esha Jain, Jorge Buendia-Buendia, Tianyu Li, Nabihah Tayob, Rebecca Rees, Alyssa Pereslete, Arlindo R. Ferreira, Daniel L. Abravanel, Karla Helvie, Ann H. Partridge, Beth Overmoyer, Eric P. Winer, Nikhil Wagle, Sara M. Tolaney. Genomic and transcriptomic analysis reveals known and novel resistance mechanisms to CDK4/6 inhibitors and sensitivity factors for the response to triplet therapy (palbociclib + everolimus + exemestane) in a phase I/IIb study in hormone-receptor positive (HR+)/HER2- metastatic breast cancer (MBC) after progression on a CDK4/6 inhibitor (CDK4/6i) [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 P4-01-06.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 10
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2015
    In:  Cancer Research Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2894-2894
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2894-2894
    Abstract: Breast cancer remains the leading cause of cancer-related deaths among women despite significant improvements in diagnosis and treatment. Mortality is principally due to the propensity of breast cancers to recur from reservoirs of local and disseminated residual tumor cells that survive therapy. Importantly, breast cancers can recur after long periods of clinical remission, implying that at least some breast cancers pass through a dormant phase prior to relapse. However, little is known about the signaling pathways that permit residual tumor cells to survive in a dormant state and eventually resume growth. Development of effective therapeutic interventions will require more detailed understanding of these fundamental processes in tumor biology. Our laboratory has developed a series of mouse models that permit the conditional activation of oncogenes in the mammary glands of mice and can be used to recapitulate key features of breast cancer progression including dormancy and recurrence after targeted therapy. In the MMTV-rtTA;TetO-neu (MTB/TAN) model, treatment with doxycycline permits mammary specific activation of HER2/neu and drives primary tumor formation. Upon removal of dox and resultant down-regulation of HER2/neu, primary tumors regress as a consequence of oncogene addiction. However, a small population of tumor cells persists in a histologically identifiable residual lesion. After a period of cellular dormancy, residual tumor cells re-enter the cell cycle in a stochastic manner and give rise to recurrent tumors, independent of HER2/neu signaling. Combining this model for recurrent mammary tumorigenesis with bioinformatics analyses of breast cancer patients, we now identify a role for Notch signaling in the recurrence of HER2/neu-driven mammary tumors. We find that Notch signaling is acutely up-regulated in tumor cells following HER2/neu pathway inhibition and that Notch activation is both necessary and sufficient for the survival and recurrence of dormant residual tumor cells that persist following HER2/neu blockade. Consistent with this, computational analysis revealed that Notch pathway activity is an independent prognostic factor for breast cancer recurrence in patients. Together, these results implicate Notch signaling in the survival and recurrence of dormant residual tumor cells and identify dormancy as a discrete, targetable stage of breast cancer progression. Therapeutics targeting Notch could address the unmet need for treatments directed against minimal residual disease for the prevention of breast cancer recurrence. Citation Format: Daniel L. Abravanel, Meredith A. Collins, George K. Belka, Tien-chi Pan, Dhruv K. Pant, Christopher J. Sterner, Lewis A. Chodosh. Notch signaling promotes survival and recurrence of dormant mammary tumor cells following HER2/neu targeted therapy. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2894. doi:10.1158/1538-7445.AM2015-2894
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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