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Tsyporin J, Tastad D, Ma X, Nehme A, Finn T, Huebner L, Liu G, Gallardo D, Makhamreh A, Roberts JM, Katzman S, Sestan N, McConnell SK, Yang Z, Qiu S, Chen B. Transcriptional repression by FEZF2 restricts alternative identities of cortical projection neurons. Cell Rep 2021; 35:109269. [PMID: 34161768 PMCID: PMC8327856 DOI: 10.1016/j.celrep.2021.109269] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/05/2021] [Accepted: 05/27/2021] [Indexed: 11/20/2022] Open
Abstract
Projection neuron subtype identities in the cerebral cortex are established by expressing pan-cortical and subtype-specific effector genes that execute terminal differentiation programs bestowing neurons with a glutamatergic neuron phenotype and subtype-specific morphology, physiology, and axonal projections. Whether pan-cortical glutamatergic and subtype-specific characteristics are regulated by the same genes or controlled by distinct programs remains largely unknown. Here, we show that FEZF2 functions as a transcriptional repressor, and it regulates subtype-specific identities of both corticothalamic and subcerebral neurons by selectively repressing expression of genes inappropriate for each neuronal subtype. We report that TLE4, specifically expressed in layer 6 corticothalamic neurons, is recruited by FEZF2 to inhibit layer 5 subcerebral neuronal genes. Together with previous studies, our results indicate that a cortical glutamatergic identity is specified by multiple parallel pathways active in progenitor cells, whereas projection neuron subtype-specific identity is achieved through selectively repressing genes associated with alternate identities in differentiating neurons.
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Affiliation(s)
- Jeremiah Tsyporin
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - David Tastad
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Xiaokuang Ma
- Department of Basic Medical Sciences, University of Arizona College of Medicine - Phoenix, Phoenix, AZ 85004, USA
| | - Antoine Nehme
- Department of Basic Medical Sciences, University of Arizona College of Medicine - Phoenix, Phoenix, AZ 85004, USA
| | - Thomas Finn
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Liora Huebner
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Guoping Liu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institute for Translational Brain Research, Institutes of Brain Science, Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Daisy Gallardo
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Amr Makhamreh
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Jacqueline M Roberts
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA
| | - Solomon Katzman
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA
| | | | - Zhengang Yang
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institute for Translational Brain Research, Institutes of Brain Science, Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shenfeng Qiu
- Department of Basic Medical Sciences, University of Arizona College of Medicine - Phoenix, Phoenix, AZ 85004, USA
| | - Bin Chen
- Department of Molecular, Cell, and Developmental Biology, University of California, Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
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Krop IE, Hillman D, Polley MY, Tanioka M, Parker J, Huebner L, Henry NL, Tolaney SM, Dang C, Harris L, Berry DA, Perou CM, Partridge A, Winer EP, Carey LA. Abstract GS3-02: Invasive disease-free survival and gene expression signatures in CALGB (Alliance) 40601, a randomized phase III neoadjuvant trial of dual HER2-targeting with lapatinib added to chemotherapy plus trastuzumab. Cancer Res 2018. [DOI: 10.1158/1538-7445.sabcs17-gs3-02] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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
Dual HER2 targeting increases pathologic complete response (pCR) rate to neoadjuvant therapy and improves outcomes in both early and metastatic HER2-positive disease. CALGB 40601 is a randomized phase III trial examining the impact of dual HER2 blockade consisting of trastuzumab (H) and lapatinib (L) added to paclitaxel (T) on pCR, considering tumor and microenvironment molecular features. We previously found that pCR was numerically but not significantly increased with dual therapy, and that tumor molecular subtype and evidence of immune activation significantly and independently affected pCR (Carey et al, JCO 2016). In this secondary analysis, we sought to evaluate the effects of treatment arm and gene expression-defined subgroups on invasive disease free survival (IDFS).
Patients and Methods
Patients (Pts) with stage II to III HER2-positive breast cancer underwent tumor biopsy followed by random assignment with equal probabilityto paclitaxel plus trastuzumab alone (TH) or with the addition of lapatinib (THL) for 16 weeks before surgery. A paclitaxel plus lapatinib (TL) arm was closed early based on reports of futility from other trials. A secondary endpoint was IDFS, defined as the time from surgery until local or distant recurrence, new primary, or death from any cause, whichever was first. Gene expression signatures were identified by RNA sequencing.
Results
Between 12/2008 and 2/2012, 305 pts were enrolled. 261 pts had IDFS and gene expression information available (THL, n = 103; TH, n =101; TL, n = 57); there were no significant differences in clinical characteristics between this subset and the entire population. The median IDFS follow-up was 4.6 years with 40 IDFS events having occurred (THL, n=7; TH, n=19; TL, n=14). IDFS was significantly longer in the THL arm compared to standard TH (HR=0.34; 95% CI: 0.14-0.82; p=0.02). IDFS was also significantly longer among pCR than non-pCR pts (HR=0.40; 95% CI: 0.19-0.81; p=0.01), and did not differ by hormone receptor (HR) status, clinical stage, tumor size, race, menopausal status or age. Among gene expression signatures, only immune activation measured by an IgG signature was associated with longer IDFS (HR=0.71; 95% CI: 0.51-0.98; p=0.04); this signature was previously also associated with pCR. Multivariate analysis showed dual therapy (HR=0.35; p=0.02), pCR (HR=0.36; p=0.01), IgG (HR=0.69; p=0.05), and molecular subtype (LumA vs HER2E, HR=0.24, p=0.005) were associated with longer IDFS. A subgroup analysis by hormone receptor status revealed that among pts with HR+ disease, pts with luminal A experienced longer IDFS (HR=0.23; p=0.02) compared to those with luminal B or HER2-enriched molecular subtypes.
Conclusion
Dual HER2-targeting with lapatinib added to 16 weeks of TH produced significantly longer IDFS than TH alone, despite modest effects on pCR. Similar to pts with HER2-negative disease, pts with luminal A had better IDFS than those with other molecular subtypes. Immune activation as measured by RNA-based signature independently predicted both pCR and IDFS.
Support: U10CA180882, U10CA180821, U24CA196171, P50-CA58823, Susan G Komen, BCRF
Citation Format: Krop IE, Hillman D, Polley M-Y, Tanioka M, Parker J, Huebner L, Henry NL, Tolaney SM, Dang C, Harris L, Berry DA, Perou CM, Partridge A, Winer EP, Carey LA. Invasive disease-free survival and gene expression signatures in CALGB (Alliance) 40601, a randomized phase III neoadjuvant trial of dual HER2-targeting with lapatinib added to chemotherapy plus trastuzumab [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr GS3-02.
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Affiliation(s)
- IE Krop
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - D Hillman
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - M-Y Polley
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - M Tanioka
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - J Parker
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - L Huebner
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - NL Henry
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - SM Tolaney
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - C Dang
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - L Harris
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - DA Berry
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - CM Perou
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - A Partridge
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - EP Winer
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
| | - LA Carey
- Dana-Farber Cancer Institute, Boston, MA; Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN; University of North Carolina, Chapel Hill, NC; University of Michigan, Ann Arbor, MI; Memorial Sloan Kettering Cancer Center, New York, NY; National Cancer Institute, Bethesda, MD; MD Anderson Cancer Center, Houston, TX
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