Evidence map›Paper›PMID 35440124›Full record

ArticleNature communications2022

Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts.

Rebecca Caeser, Jacklynn V Egger, Shweta Chavan, Nicholas D Socci, Caitlin Byrne Jones, Faruk Erdem Kombak, Marina Asher, Michael H Roehrl, Nisargbhai S Shah, Viola Allaj and 14 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 2 institutions in 1 country.

Rebecca CaeserDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Jacklynn V EggerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Shweta ChavanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID 0000-0001-9433-6936
Nicholas D SocciBioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Caitlin Byrne JonesBioinformatics Core, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Faruk Erdem KombakPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID 0000-0002-2781-7681
Marina AsherPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Michael H RoehrlPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID 0000-0003-4892-1098
Nisargbhai S ShahDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Viola AllajDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Parvathy ManojDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Sam E TischfieldMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-5717-3856
Amanda KulickAntitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY10065, USA.
Maximiliano MenesesAntitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY10065, USA.ORCID 0000-0002-4093-3070
Christine A Iacobuzio-DonahuePrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID 0000-0002-4672-3023
W Victoria LaiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Umeshkumar BhanotPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID 0000-0001-6656-1239
Marina K BaineDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Natasha RekhtmanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Travis J HollmannDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1599-0433
Elisa de StanchinaAntitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY10065, USA.
John T PoirierPerlmutter Cancer Center, New York University Langone Health, New York, NY, USA.ORCID 0000-0001-9795-5644
Charles M RudinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA. rudinc@mskcc.org.ORCID 0000-0001-5204-3465
Triparna SenDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA. sent@mskcc.org.
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
Coordinating center for the NCI small cell lung cancer research consortiumU24CA213274 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Lauren Averett Byers, JOHN D. MINNA · 2017 to 2026
$12.9M
Novel therapeutic development for small cell lung cancerR35CA263816 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Charles M. Rudin · 2021 to 2026
$6.3M
Determinants of acquired resistance in small cell lung cancerR01CA197936 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI RUDIN, CHARLES M. · 2016 to 2020
$3.1M
Targeting replication stress signaling to overcome immune evasion in small cell lung cancerR01CA258784 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SEN, TRIPARNA · 2021 to 2025
$2.4M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA197936NCI NIH HHS R01 CA258784NCI NIH HHS R35 CA263816NCI NIH HHS U24 CA213274
6 · The paper itself

Abstract

Access to clinically relevant small cell lung cancer (SCLC) tissue is limited because surgical resection is rare in metastatic SCLC. Patient-derived xenografts (PDX) and circulating tumor cell-derived xenografts (CDX) have emerged as valuable tools to characterize SCLC. Here, we present a resource of 46 extensively annotated PDX/CDX models derived from 33 patients with SCLC. We perform multi-omic analyses, using targeted tumor next-generation sequencing, RNA-sequencing, and immunohistochemistry to deconvolute the mutational landscapes, global expression profiles, and molecular subtypes of these SCLC models. SCLC subtypes characterized by transcriptional regulators, ASCL1, NEUROD1 and POU2F3 are confirmed in this cohort. A subset of SCLC clinical specimens, including matched PDX/CDX and clinical specimen pairs, confirm that the primary features and genomic and proteomic landscapes of the tumors of origin are preserved in the derivative PDX models. This resource provides a powerful system to study SCLC biology.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaHeterograftsHumansProteomicsTranscriptome

Identifiers

PMID35440124
PMCPMC9018685
OpenAlexW4224224477

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.