Evidence map›Paper›PMID 32042191›Full record

ArticleNature medicine2020

Regenerative lineages and immune-mediated pruning in lung cancer metastasis.

Ashley M Laughney, Jing Hu, Nathaniel R Campbell, Samuel F Bakhoum, Manu Setty, Vincent-Philippe Lavallée, Yubin Xie, Ignas Masilionis, Ambrose J Carr, Sanjay Kottapalli and 9 more

Open access · greenAbstract read
In one paragraph

Article in Nature medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 322 papers.

0numbers the graph read from it
0cells of the map it votes in
322citing papers in PubMed
42.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

322 citing papers in PubMed, 478 citations in OpenAlex.

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262 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Ashley M LaughneyCancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-9435-953X
Jing HuCancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nathaniel R CampbellCancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-0355-0708
Samuel F BakhoumHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Manu SettyComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Vincent-Philippe LavalléeComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yubin XieComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-2542-2544
Ignas MasilionisComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-7937-9014
Ambrose J CarrComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sanjay KottapalliComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Viola AllajMolecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Marissa MattarMolecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Natasha RekhtmanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Joao B XavierComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Linas MazutisComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
John T PoirierPerlmutter Cancer Center, New York University Langone Health, New York, NY, USA.
Charles M RudinMolecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-5204-3465
Dana Pe'erComputational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. peerd@mskcc.org.ORCID http://orcid.org/0000-0002-9259-8817
Joan MassaguéCancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. j-massague@ski.mskcc.org.ORCID http://orcid.org/0000-0001-9324-8408
Memorial Sloan Kettering Cancer Center · USNYU Langone Health · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
The Role of Focal Oncogene Amplifications in Lung CancerP01CA129243 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Andrea Ventura · 2007 to 2026
$31.2M
Transition to Metastatic State: Lung Cancer, Pancreatic Cancer and Brain MetastasisU2CCA233284 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI PE'ER, DANA · 2018 to 2022
$12.9M
Tumor-specific T cell state dynamics and heterogeneity in early tumorigenesisU54CA209975 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LESLIE, CHRISTINA S, RUDENSKY, ALEXANDER Y · 2016 to 2021
$11.8M
Single cell mapping of developmental trajectories underlying health and diseaseDP1HD084071 · NICHD · SLOAN-KETTERING INST CAN RESEARCH · PI PE'ER, DANA · 2014 to 2018
$4.2M
Dissecting the complexity of metastasis with mathematical models and quantitative experiments with in zebrafishR01CA229215 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WHITE, RICHARD MARK, XAVIER, JOAO · 2018 to 2022
$3.1M
The role of chromosomal instability in tumor evolutionDP5OD026395 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI BAKHOUM, SAMUEL F · 2018 to 2022
$2.2M
Integrative Cancer Genomics: Drivers, Pathways and DrugsR01CA164729 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PE'ER, DANA · 2012 to 2016
$1.9M
Dissecting the Ecology of Metastasis in a Zebrafish Model: Trade-Offs of Size and Diversity in Circulating Tumor Cell ClustersF30CA220954 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CAMPBELL, NATHANIEL R · 2018 to 2021
$194k
NCI NIH HHS F30 CA220954NCI NIH HHS P01 CA129243NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA164729NCI NIH HHS R01 CA229215NCI NIH HHS U2C CA233284NCI NIH HHS U54 CA209975NICHD NIH HHS DP1 HD084071NIH HHS DP5 OD026395
6 · The paper itself

Abstract

Developmental processes underlying normal tissue regeneration have been implicated in cancer, but the degree of their enactment during tumor progression and under the selective pressures of immune surveillance, remain unknown. Here we show that human primary lung adenocarcinomas are characterized by the emergence of regenerative cell types, typically seen in response to lung injury, and by striking infidelity among transcription factors specifying most alveolar and bronchial epithelial lineages. In contrast, metastases are enriched for key endoderm and lung-specifying transcription factors, SOX2 and SOX9, and recapitulate more primitive transcriptional programs spanning stem-like to regenerative pulmonary epithelial progenitor states. This developmental continuum mirrors the progressive stages of spontaneous outbreak from metastatic dormancy in a mouse model and exhibits SOX9-dependent resistance to natural killer cells. Loss of developmental stage-specific constraint in macrometastases triggered by natural killer cell depletion suggests a dynamic interplay between developmental plasticity and immune-mediated pruning during metastasis.

Indexed as

Neoplasm MetastasisAdenocarcinomaAnimalsBronchiCell DifferentiationCell LineageCluster AnalysisDatabases, GeneticDisease ProgressionEndodermFemaleHumansHydrogelsImmune SystemKiller Cells, NaturalLungHydrogels

Identifiers

PMID32042191
PMCPMC7021003
OpenAlexW3004765765

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.