Literature DB >> 29967289

Identifying a missing lineage driver in a subset of lung neuroendocrine tumors.

Karine Pozo1,2, John D Minna3,4,5,6, Jane E Johnson1,4,5.   

Abstract

Tumor heterogeneity of a primary histologic cancer type has major implications for cancer research and therapeutics. An important and understudied aspect of this heterogeneity is the role of transcription factors that serve as "lineage oncogenes" in a tumor type. A demonstration that different subgroups have distinct dependencies on lineage-specific transcription factors is highlighted in a relatively homogenous cancer type: the pulmonary neuroendocrine cancer small cell lung carcinoma (SCLC). Identification of these factors is providing new insights into the origin of the heterogeneity and subtype-specific vulnerabilities in SCLC and provides a template for studying heterogeneity in other cancer types.
© 2018 Pozo et al.; Published by Cold Spring Harbor Laboratory Press.

Entities:  

Keywords:  POU2F3; enhancer; master regulator; small cell lung cancer; tuft cell

Mesh:

Substances:

Year:  2018        PMID: 29967289      PMCID: PMC6075039          DOI: 10.1101/gad.316943.118

Source DB:  PubMed          Journal:  Genes Dev        ISSN: 0890-9369            Impact factor:   11.361


Heterogeneity across tumors of a given cancer type and the resulting implications for cancer treatment have emerged as major issues in cancer research and therapeutics. A good example is small cell lung carcinoma (SCLC), an aggressive, highly metastatic neuroendocrine cancer of the lung that occurs in smokers, with a 5-yr survival rate of <7%. There has been little change in SCLC treatment over the past 30 yr, causing the National Cancer Institute to categorize it as a “recalcitrant” cancer. Nearly all SCLC patients respond well to initial platinum-etoposide-based chemotherapy (with or without radiotherapy to the primary tumor), but relapse is inevitable (usually occurring within 1 yr), and recurrent tumors are nearly always resistant to additional treatments. Searching for new targets and drugs from comprehensive genome sequencing, drug screens of preclinical human SCLC models, tests in genetically engineered mouse models (GEMMs) of SCLC, and related efforts to develop rationales and targeted therapies have had limited success, with only small numbers of patients responsive to treatments in clinical trials (Gazdar et al. 2017). A clinical diagnosis of SCLC is usually made in a clinical setting by histologic examination and immunohistochemical detection of neuroendocrine markers. When molecular analyses are done, in essentially all cases, inactivation of RB1 and TP53 tumor suppressor genes is found (George et al. 2015). However, “variant” forms of SCLC (compared with the majority, which has “classic” features) have been recognized for many years and account for ∼10%–20% of all cases. These present clinically like SCLC and have RB1 and TP53 mutations, but, histologically, the cells are larger and lack many neuroendocrine markers found in the usual SCLCs (Gazdar et al. 2017). In human SCLCs, these “variant” types were often found to have amplified and/or express high levels of MYC, and, recently, a GEMM of SCLC that expresses high levels of MYC was also identified to have morphology of the “variant” type (Mollaoglu et al. 2017). Nevertheless, even with the recognized variations in histology, SCLC cell culture characteristics, and neuroendocrine gene signatures, only a single morphological form of SCLC is recognized by the World Health Organization classification in current clinical practice. Distinguishing SCLC subtypes by expression of neuroendocrine genes such as CHGA and GRP identifies two groups: neuroendocrine high (NEhigh; ∼80%) and neuroendocrine low (NElow; ∼20%). Within the NEhigh group, the basic helix–loop–helix (bHLH) transcription factor ASCL1 is considered a master regulator for a majority of these SCLC, while a related bHLH factor, NEUROD1, characterizes a smaller subset with intermediate neuroendocrine characteristics (Osborne et al. 2013; George et al. 2015; Borromeo et al. 2016; Zhang et al. 2018). In contrast, most NElow SCLCs do not express ASCL1 or NEUROD1. Thus, ASCL1 and NEUROD1 expression or lack of expression has been used to subdivide SCLCs into ASCL1high, NEUROD1high, or dual-negative SCLC subtypes. ASCL1 and NEUROD1 drive different gene expression programs (Borromeo et al. 2016; Mollaoglu et al. 2017), which may influence individual patient drug responses. Thus, appreciation of the heterogeneity of SCLC tumor subtypes is driving efforts to identify subtype-specific vulnerabilities and define subtype-specific markers to select patient populations for clinical trials. While ASCL1 and NEUROD1 are lineage-specific transcription factors for the NEhigh group of SCLCs, identification of a lineage-specific transcription factor for the NElow has been lacking. This deficiency is addressed in this issue of Genes & Development, where Huang et al. (2018) report the identification of POU2F3 as a master regulator of the NElow SCLC subtype, demonstrating a dependence on POU2F3 for proliferation and survival. Of great interest relating to neuronal differentiation, they report the unexpected and novel finding that POU2F3 and its downstream transcriptional targets in SCLC share molecular features of rare chemosensory cells in the lung (“tuft” cells), implicating a distinct cell of origin for these NElow relative to the NEhigh SCLC (Fig. 1). Furthermore, highlighting the potential therapeutic importance of recognizing heterogeneity in this class of tumors, a subtype-specific vulnerability is found that involves the IGF1R signaling pathway. These findings have translational as well as biological implications for SCLC.
Figure 1.

Heterogeneity in SCLC suggests distinct cells of origin, vulnerabilities, and responses to treatment. At least three subtypes of SCLC can be distinguished, including ASCL1high, NEUROD1high, and POU2F3high, with signatures for neuroendocrine gene expression going from high to low, respectively. This heterogeneity may result from genetic inactivation of the tumor suppressors RB1 and TP53 in distinct cells in the lung, as just reported (Huang et al. 2018). Rare neuroendocrine and chemosensory cells are found in the bronchial epithelium in the adult lung that share dependency on ASCL1 (neuroendocrine cells; ASCL1high tumors) or POU2F3 (chemosensory tuft cells; POU2F3high tumors). It is not clear whether the NEUROD1high SCLCs arise from yet a different cell lineage or whether they reflect an ASCL1high tumor that has acquired additional genetic alterations such as MYC amplification. Nevertheless, the distinct chromatin landscape and gene expression seen in these different SCLC subtypes suggest that they will have distinct vulnerabilities and should inform precision medicine strategies (Saunders et al. 2015; Mollaoglu et al. 2017; Huang et al. 2018).

Heterogeneity in SCLC suggests distinct cells of origin, vulnerabilities, and responses to treatment. At least three subtypes of SCLC can be distinguished, including ASCL1high, NEUROD1high, and POU2F3high, with signatures for neuroendocrine gene expression going from high to low, respectively. This heterogeneity may result from genetic inactivation of the tumor suppressors RB1 and TP53 in distinct cells in the lung, as just reported (Huang et al. 2018). Rare neuroendocrine and chemosensory cells are found in the bronchial epithelium in the adult lung that share dependency on ASCL1 (neuroendocrine cells; ASCL1high tumors) or POU2F3 (chemosensory tuft cells; POU2F3high tumors). It is not clear whether the NEUROD1high SCLCs arise from yet a different cell lineage or whether they reflect an ASCL1high tumor that has acquired additional genetic alterations such as MYC amplification. Nevertheless, the distinct chromatin landscape and gene expression seen in these different SCLC subtypes suggest that they will have distinct vulnerabilities and should inform precision medicine strategies (Saunders et al. 2015; Mollaoglu et al. 2017; Huang et al. 2018). Huang et al. (2018) used a domain-focused CRISPR screen to identify novel transcription factor dependencies in SCLC. Interrogating 1427 DNA-binding domains of human transcription factors in a panel of SCLC cell lines, the investigators identified POU2F3 as essential for NElow SCLC cell growth. POU2F3, a POU homeodomain transcription factor (also known as SKN-1A), is required for the generation of TRPM5-expressing chemosensory tuft cells in multiple tissues, including the trachea, auditory tube, urethra, thymus, pancreatic duct, stomach, and large intestine (Yamashita et al. 2017). POU2F3 has not been linked to lung cancer, and, until now, the existence of POU2F3-expressing chemosensory cells in the primary and secondary bronchi, where SCLC tumors are found, had not been demonstrated. In the present study, rare POU2F3-expressing cells are found that do not colabel with markers of the CGRP-expressing neuroendocrine cells or other lung epithelial cells, including ciliated and club cells, revealing a possible distinct cell of origin for a subset of SCLC. Strikingly, POU2F3 is expressed in the subset of SCLC tumors (12%–20%) that lack ASCL1, NEUROD1, and other neuroendocrine lineage markers, including INSM1, CHGA, GRP, and CALCA. Although POU2F3-expressing SCLCs (POU2F3high) display the typical SCLC morphology (originally called “oat cells” by pathologists, thus explaining why they were clinically diagnosed as SCLCs), they are associated with the NElow SCLC subtype markers REST and MYC as well as chemosensory tuft cells markers, including TRPM5, SOX9, CHAT, and ASCL2. Furthermore, POU2F3high cells distinguish themselves from ASCL1high and NEUROD1high SCLC cells at the epigenetic level. Indeed, enhancers of chemosensory tuft cell genes are specifically marked by the active chromatin mark H3K27ac in POU2F3high, but not in ASCL1high or NEUROD1high, SCLC cells. Thus, the current work in the context of recent enhancer landscape studies shows that all three subgroups—ASCL1high, NEUROD1high, and POU2F3high SCLC—are dramatically different in their enhancer landscapes and related gene expression profiles, supporting distinct classifications for these tumor subgroups. In the case of the POU2F3high subtype, a distinct cell of origin is strongly implicated by Huang et al. (2018). Whether ASCL1high and NEUROD1high SCLC subtypes have cells of origin distinct from each other and the POU2F3high subtype remains to be determined. Of great translational importance, Huang et al. (2018) also reasoned that the POU2F3high subgroup of SCLC may use signaling pathways distinct from those used by the NEhigh SCLC and that these pathways could provide novel molecular therapeutic targets. To delineate these pathways, they conducted another protein domain CRISPR dropout screen, this time by targeting guides to kinase domains. IGF1R emerged as essential for growth of the POU2F3high cell lines. Consistently, POU2F3high cells are significantly more sensitive to an IGF1R inhibitor, linsitinib. It is interesting to note that POU2F3high SCLC expresses low levels of the endogenous IGF1R inhibitor IGFBP5, whereas ASCL1high expresses high levels of IGFBP5 (thus already being in an IGF1R “inhibited” state), possibly accounting for these differences in sensitivity to the IGF1R pathway inhibitor. Together, these findings suggest that patients harboring POU2F3high, but not ASCL1high, SCLC tumors may be responsive to IGF1R inhibitors. A recent clinical trial with linsitinib of relapsed SCLC failed to show activity (in 29 patients) compared with topotecan (a traditional chemotherapy used after platinum-etoposide) (Chiappori et al. 2016). The report by Huang et al. (2018) now provides a biomarker-based guideline (POU2F3high) for selecting SCLC patients for a follow-up linsitinib trial. As a prelude to the clinical trial, it will be crucial to determine whether the POU2F3high subtype of SCLC will show a dramatic response to linsitinib in a xenograft model in vivo. There are multiple direct implications from the study by Huang et al. (2018) that impact our understanding of the heterogeneity in SCLC and should inform the design of future clinical trials. POU2F3 as a lineage driver of the NElow, ASCL1low, and NEUROD1low SCLC subtypes and the identification of rare POU2F3-expressing chemosensory tuft cells in the normal bronchial epithelium strongly suggest a previously unrecognized cell of origin for a subset of SCLC. However, it is also possible that the different SCLC subtypes may transition from one type to the other. This may be the case between ASCL1high and NEUROD1high subtypes and even possibly in the case of non-small cell lung cancers with EGFR mutations transitioning with EGFR targeted therapy to resistance, occasionally expressing SCLC morphology and features (Niederst et al. 2015). Future experiments are required to formally test and distinguish between these models. A second implication supported by the Huang et al. (2018) report is that the POU2F3high subtype may have specific vulnerabilities, such as via IGF1R signaling, and any further preclinical and clinical studies in this area should stratify models/patients in order to not miss significant responses to treatments in this minority subset of SCLC. Finally, for ASCL1-, NEUROD1-, and POU2F3-driven cancers, can they become resistant to these lineage dependencies (e.g., by switching from one transcription factor dependency to another)? These studies continue to raise awareness that there may be other, sometimes rare, cell types that can serve as originating cells for tumors and, when combined with oncogenic genetic alterations, provide heterogeneity in histologically similar cancers. Incorporating this knowledge into the design of drug screens and clinical trials may improve future efforts in treating these diseases.
  11 in total

1.  MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition.

Authors:  Gurkan Mollaoglu; Matthew R Guthrie; Stefanie Böhm; Johannes Brägelmann; Ismail Can; Paul M Ballieu; Annika Marx; Julie George; Christine Heinen; Milind D Chalishazar; Haixia Cheng; Abbie S Ireland; Kendall E Denning; Anandaroop Mukhopadhyay; Jeffery M Vahrenkamp; Kristofer C Berrett; Timothy L Mosbruger; Jun Wang; Jessica L Kohan; Mohamed E Salama; Benjamin L Witt; Martin Peifer; Roman K Thomas; Jason Gertz; Jane E Johnson; Adi F Gazdar; Robert J Wechsler-Reya; Martin L Sos; Trudy G Oliver
Journal:  Cancer Cell       Date:  2017-01-12       Impact factor: 31.743

2.  A DLL3-targeted antibody-drug conjugate eradicates high-grade pulmonary neuroendocrine tumor-initiating cells in vivo.

Authors:  Laura R Saunders; Alexander J Bankovich; Wade C Anderson; Monette A Aujay; Sheila Bheddah; KristenAnn Black; Radhika Desai; Paul A Escarpe; Johannes Hampl; Amy Laysang; David Liu; Javier Lopez-Molina; Milly Milton; Albert Park; Marybeth A Pysz; Hui Shao; Brian Slingerland; Michael Torgov; Samuel A Williams; Orit Foord; Philip Howard; Jacek Jassem; Andrzej Badzio; Piotr Czapiewski; David H Harpole; Afshin Dowlati; Pierre P Massion; William D Travis; M Catherine Pietanza; J T Poirier; Charles M Rudin; Robert A Stull; Scott J Dylla
Journal:  Sci Transl Med       Date:  2015-08-26       Impact factor: 17.956

3.  Comprehensive genomic profiles of small cell lung cancer.

Authors:  Julie George; Jing Shan Lim; Se Jin Jang; Yupeng Cun; Luka Ozretić; Gu Kong; Frauke Leenders; Xin Lu; Lynnette Fernández-Cuesta; Graziella Bosco; Christian Müller; Ilona Dahmen; Nadine S Jahchan; Kwon-Sik Park; Dian Yang; Anthony N Karnezis; Dedeepya Vaka; Angela Torres; Maia Segura Wang; Jan O Korbel; Roopika Menon; Sung-Min Chun; Deokhoon Kim; Matt Wilkerson; Neil Hayes; David Engelmann; Brigitte Pützer; Marc Bos; Sebastian Michels; Ignacija Vlasic; Danila Seidel; Berit Pinther; Philipp Schaub; Christian Becker; Janine Altmüller; Jun Yokota; Takashi Kohno; Reika Iwakawa; Koji Tsuta; Masayuki Noguchi; Thomas Muley; Hans Hoffmann; Philipp A Schnabel; Iver Petersen; Yuan Chen; Alex Soltermann; Verena Tischler; Chang-min Choi; Yong-Hee Kim; Pierre P Massion; Yong Zou; Dragana Jovanovic; Milica Kontic; Gavin M Wright; Prudence A Russell; Benjamin Solomon; Ina Koch; Michael Lindner; Lucia A Muscarella; Annamaria la Torre; John K Field; Marko Jakopovic; Jelena Knezevic; Esmeralda Castaños-Vélez; Luca Roz; Ugo Pastorino; Odd-Terje Brustugun; Marius Lund-Iversen; Erik Thunnissen; Jens Köhler; Martin Schuler; Johan Botling; Martin Sandelin; Montserrat Sanchez-Cespedes; Helga B Salvesen; Viktor Achter; Ulrich Lang; Magdalena Bogus; Peter M Schneider; Thomas Zander; Sascha Ansén; Michael Hallek; Jürgen Wolf; Martin Vingron; Yasushi Yatabe; William D Travis; Peter Nürnberg; Christian Reinhardt; Sven Perner; Lukas Heukamp; Reinhard Büttner; Stefan A Haas; Elisabeth Brambilla; Martin Peifer; Julien Sage; Roman K Thomas
Journal:  Nature       Date:  2015-07-13       Impact factor: 49.962

4.  ASCL1 and NEUROD1 Reveal Heterogeneity in Pulmonary Neuroendocrine Tumors and Regulate Distinct Genetic Programs.

Authors:  Mark D Borromeo; Trisha K Savage; Rahul K Kollipara; Min He; Alexander Augustyn; Jihan K Osborne; Luc Girard; John D Minna; Adi F Gazdar; Melanie H Cobb; Jane E Johnson
Journal:  Cell Rep       Date:  2016-07-21       Impact factor: 9.423

5.  NeuroD1 regulates survival and migration of neuroendocrine lung carcinomas via signaling molecules TrkB and NCAM.

Authors:  Jihan K Osborne; Jill E Larsen; Misty D Shields; Joshua X Gonzales; David S Shames; Mitsuo Sato; Ashwinikumar Kulkarni; Ignacio I Wistuba; Luc Girard; John D Minna; Melanie H Cobb
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-03       Impact factor: 11.205

Review 6.  Small-cell lung cancer: what we know, what we need to know and the path forward.

Authors:  Adi F Gazdar; Paul A Bunn; John D Minna
Journal:  Nat Rev Cancer       Date:  2017-10-27       Impact factor: 60.716

7.  Small cell lung cancer tumors and preclinical models display heterogeneity of neuroendocrine phenotypes.

Authors:  Wei Zhang; Luc Girard; Yu-An Zhang; Tomohiro Haruki; Mahboubeh Papari-Zareei; Victor Stastny; Hans K Ghayee; Karel Pacak; Trudy G Oliver; John D Minna; Adi F Gazdar
Journal:  Transl Lung Cancer Res       Date:  2018-02

8.  POU2F3 is a master regulator of a tuft cell-like variant of small cell lung cancer.

Authors:  Yu-Han Huang; Olaf Klingbeil; Xue-Yan He; Xiaoli S Wu; Gayatri Arun; Bin Lu; Tim D D Somerville; Joseph P Milazzo; John E Wilkinson; Osama E Demerdash; David L Spector; Mikala Egeblad; Junwei Shi; Christopher R Vakoc
Journal:  Genes Dev       Date:  2018-06-26       Impact factor: 12.890

9.  A Randomized Phase II Study of Linsitinib (OSI-906) Versus Topotecan in Patients With Relapsed Small-Cell Lung Cancer.

Authors:  Alberto A Chiappori; Gregory A Otterson; Afshin Dowlati; Anne M Traynor; Leora Horn; Taofeek K Owonikoko; Helen J Ross; Christine L Hann; Taher Abu Hejleh; Jorge Nieva; Xiuhua Zhao; Michael Schell; Daniel M Sullivan
Journal:  Oncologist       Date:  2016-09-30

10.  Skn-1a/Pou2f3 functions as a master regulator to generate Trpm5-expressing chemosensory cells in mice.

Authors:  Junpei Yamashita; Makoto Ohmoto; Tatsuya Yamaguchi; Ichiro Matsumoto; Junji Hirota
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

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1.  A biobank of small cell lung cancer CDX models elucidates inter- and intratumoral phenotypic heterogeneity.

Authors:  Kathryn L Simpson; Ruth Stoney; Kristopher K Frese; Nicole Simms; William Rowe; Simon P Pearce; Sam Humphrey; Laura Booth; Derrick Morgan; Marek Dynowski; Francesca Trapani; Alessia Catozzi; Mitchell Revill; Thomas Helps; Melanie Galvin; Luc Girard; Daisuke Nonaka; Louise Carter; Matthew G Krebs; Natalie Cook; Mathew Carter; Lynsey Priest; Alastair Kerr; Adi F Gazdar; Fiona Blackhall; Caroline Dive
Journal:  Nat Cancer       Date:  2020-04-13

2.  Tumor Heterogeneity Underlies Differential Cisplatin Sensitivity in Mouse Models of Small-Cell Lung Cancer.

Authors:  Franziska Böttger; Ekaterina A Semenova; Ji-Ying Song; Giustina Ferone; Jan van der Vliet; Miranda Cozijnsen; Rajith Bhaskaran; Lorenzo Bombardelli; Sander R Piersma; Thang V Pham; Connie R Jimenez; Anton Berns
Journal:  Cell Rep       Date:  2019-06-11       Impact factor: 9.423

3.  Subtype-specific secretomic characterization of pulmonary neuroendocrine tumor cells.

Authors:  Xu-Dong Wang; Rongkuan Hu; Qing Ding; Trisha K Savage; Kenneth E Huffman; Noelle Williams; Melanie H Cobb; John D Minna; Jane E Johnson; Yonghao Yu
Journal:  Nat Commun       Date:  2019-07-19       Impact factor: 14.919

Review 4.  Morphologic and molecular classification of lung neuroendocrine neoplasms.

Authors:  Jasna Metovic; Giuseppe Pelosi; Marco Barella; Fabrizio Bianchi; Paul Hofman; Veronique Hofman; Myriam Remmelink; Izidor Kern; Lina Carvalho; Linda Pattini; Angelica Sonzogni; Giulia Veronesi; Sergio Harari; Fabien Forest; Mauro Papotti
Journal:  Virchows Arch       Date:  2021-01-21       Impact factor: 4.064

Review 5.  Tuft cells in the pathogenesis of chronic rhinosinusitis with nasal polyps and asthma.

Authors:  Elizabeth A Sell; Jorge F Ortiz-Carpena; De'Broski R Herbert; Noam A Cohen
Journal:  Ann Allergy Asthma Immunol       Date:  2020-10-26       Impact factor: 6.347

Review 6.  Acetylcholine From Tuft Cells: The Updated Insights Beyond Its Immune and Chemosensory Functions.

Authors:  Jun Pan; Leyi Zhang; Xuan Shao; Jian Huang
Journal:  Front Cell Dev Biol       Date:  2020-07-07
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