Evidence map›Paper›PMID 34656143›Full record

ArticleJournal of hematology & oncology2021

Comprehensive molecular characterization of lung tumors implicates AKT and MYC signaling in adenocarcinoma to squamous cell transdifferentiation.

Alvaro Quintanal-Villalonga, Hirokazu Taniguchi, Yingqian A Zhan, Maysun M Hasan, Shweta S Chavan, Fanli Meng, Fathema Uddin, Viola Allaj, Parvathy Manoj, Nisargbhai S Shah and 20 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
9.1field-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

57 citing papers in PubMed, 90 citations in OpenAlex.

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  10. Unveiling the roles of SPP1Genes & diseases · 2026
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  19. Complementary modes of resistance tobioRxiv : the preprint server for biology · 2025
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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

30 authors at 1 institution in 1 country.

Alvaro Quintanal-VillalongaDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA. quintaa1@mskcc.org.
Hirokazu TaniguchiDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Yingqian A ZhanCenter for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Maysun M HasanSloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Shweta S ChavanMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Fanli MengSloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Fathema UddinDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Viola AllajDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Parvathy ManojDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Nisargbhai S ShahDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Joseph M ChanDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Metamia CiampricottiDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Andrew ChowDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Michael OffinDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Jordana Ray-KirtonPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jacklynn D EggerDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Umesh K BhanotPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Irina LinkovPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Marina AsherPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael H RoehrlPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Katia VenturaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Juan QiuAntitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Elisa de StanchinaAntitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Jason C ChangPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Natasha RekhtmanPrecision Pathology Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Brian Houck-LoomisSloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Richard P KocheCenter for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Helena A YuDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA.
Triparna SenDepartment of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA. sent@mskcc.org.
Charles M Rudin *Department of Medicine, Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, 408 East 69th Street, ZRC-1731, New York, NY, 10021, USA. rudinc@mskcc.org.ORCID 0000-0001-5204-3465
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 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
Drivers of histologic transformation in EGFR-mutant lung cancerR01CA264078 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI RUDIN, CHARLES M., YU, HELENA · 2021 to 2025
$2.0M
Assessment of Tim-4+ Pleural Macrophages as Negative Regulators of Anti-Tumor T Cell Immunity in Lung CancerK08CA248723 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHOW, ANDREW · 2020 to 2022
$602k
NCI NIH HHS K08 CA-248723NCI NIH HHS K08 CA248723NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA197936NCI NIH HHS R01 CA264078NCI NIH HHS R35 CA263816NCI NIH HHS U24 CA213274
6 · The paper itself

Abstract

backgroundLineage plasticity, the ability to transdifferentiate among distinct phenotypic identities, facilitates therapeutic resistance in cancer. In lung adenocarcinomas (LUADs), this phenomenon includes small cell and squamous cell (LUSC) histologic transformation in the context of acquired resistance to targeted inhibition of driver mutations. LUAD-to-LUSC transdifferentiation, occurring in up to 9% of EGFR-mutant patients relapsed on osimertinib, is associated with notably poor prognosis. We hypothesized that multi-parameter profiling of the components of mixed histology (LUAD/LUSC) tumors could provide insight into factors licensing lineage plasticity between these histologies.

methodsWe performed genomic, epigenomics, transcriptomics and protein analyses of microdissected LUAD and LUSC components from mixed histology tumors, pre-/post-transformation tumors and reference non-transformed LUAD and LUSC samples. We validated our findings through genetic manipulation of preclinical models in vitro and in vivo and performed patient-derived xenograft (PDX) treatments to validate potential therapeutic targets in a LUAD PDX model acquiring LUSC features after osimertinib treatment.

resultsOur data suggest that LUSC transdifferentiation is primarily driven by transcriptional reprogramming rather than mutational events. We observed consistent relative upregulation of PI3K/AKT, MYC and PRC2 pathway genes. Concurrent activation of PI3K/AKT and MYC induced squamous features in EGFR-mutant LUAD preclinical models. Pharmacologic inhibition of EZH1/2 in combination with osimertinib prevented relapse with squamous-features in an EGFR-mutant patient-derived xenograft model, and inhibition of EZH1/2 or PI3K/AKT signaling re-sensitized resistant squamous-like tumors to osimertinib.

conclusionsOur findings provide the first comprehensive molecular characterization of LUSC transdifferentiation, suggesting putative drivers and potential therapeutic targets to constrain or prevent lineage plasticity.

Indexed as

Adenocarcinoma of LungAnimalsCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCell TransdifferentiationHumansMiceMice, Inbred NODPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-mycSignal TransductionTranscriptomePhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-mycLineage plasticitySquamous transdifferentiationTargeted therapyTreatment resistance

Identifiers

PMID34656143
PMCPMC8520275
OpenAlexW3206277552

What OpenQuestion holds

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LicenceCC BY
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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.