Evidence map›Paper›PMID 36856111›Full record

ArticleThe Journal of clinical investigation2023

CRISPR/Cas9 screen uncovers functional translation of cryptic lncRNA-encoded open reading frames in human cancer.

Caishang Zheng, Yanjun Wei, Peng Zhang, Longyong Xu, Zhenzhen Zhang, Kangyu Lin, Jiakai Hou, Xiangdong Lv, Yao Ding, Yulun Chiu and 9 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
10.5field-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

31 citing papers in PubMed, 44 citations in OpenAlex.

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  16. Finding functional microproteins.Trends in genetics : TIG · 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

19 authors at 4 institutions in 3 countries.

Caishang ZhengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Yanjun WeiDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Peng ZhangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Longyong XuDepartment of Molecular and Cellular Biology.
Zhenzhen ZhangDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, USA.
Kangyu LinDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jiakai HouDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xiangdong LvDepartment of Molecular and Cellular Biology.
Yao DingDepartment of Molecular and Cellular Biology.
Yulun ChiuDepartment of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Antrix JainMass Spectrometry Proteomics Core and.
Nelufa IslamMass Spectrometry Proteomics Core and.
Anna MalovannayaDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA.
Yun WuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Feng DingDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, USA.
Han XuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Ming SunDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xi ChenDepartment of Molecular and Cellular Biology.
Yiwen ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USClemson University · USIONICS Mass Spectrometry (Canada) · CA

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Translational Research in Breast Cancer (SPORE)P50CA186784 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MATTHEW J ELLIS · 2014 to 2026
$24.5M
Mechanism and Function of Endoplasmic Reticulum Protein Quality Control Machinery In The Maintenance of Hematopoietic Stem CellsR01HL146642 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI CHEN, XI · 2019 to 2023
$2.5M
Crosstalk Between the ER Stress Response and Mitochondrial Fatty Acid Oxidation in MYC-driven Breast CancerR37CA228304 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, XI · 2018 to 2024
$2.5M
Proteostasis Reprogramming in Mutant KRAS-Driven CancersR01CA270240 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Xi Chen · 2023 to 2026
$2.1M
Inhibition of Human Islet Amyloid Polypeptide AggregationR35GM145409 · NIGMS · CLEMSON UNIVERSITY · PI Feng Ding · 2022 to 2026
$2.0M
Computational approaches for protein functional analysis using CRISPR screensR35GM137927 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI XU, HAN · 2020 to 2024
$2.0M
Systematic dissection of function and mechanism of long non-coding RNAs in glioblastomaR01NS117668 · NINDS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, YIWEN · 2021 to 2025
$2.0M
Integrative approaches for decoding the function and regulation of unconventional RNA translationR01GM130838 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHEN, YIWEN · 2019 to 2023
$1.8M
NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA186784NCI NIH HHS R01 CA270240NCI NIH HHS R37 CA228304NHLBI NIH HHS R01 HL146642NIGMS NIH HHS R01 GM130838NIGMS NIH HHS R35 GM137927NIGMS NIH HHS R35 GM145409NINDS NIH HHS R01 NS117668
6 · The paper itself

Abstract

Emerging evidence suggests that cryptic translation within long noncoding RNAs (lncRNAs) may produce novel proteins with important developmental/physiological functions. However, the role of this cryptic translation in complex diseases (e.g., cancer) remains elusive. Here, we applied an integrative strategy combining ribosome profiling and CRISPR/Cas9 screening with large-scale analysis of molecular/clinical data for breast cancer (BC) and identified estrogen receptor α-positive (ER+) BC dependency on the cryptic ORFs encoded by lncRNA genes that were upregulated in luminal tumors. We confirmed the in vivo tumor-promoting function of an unannotated protein, GATA3-interacting cryptic protein (GT3-INCP) encoded by LINC00992, the expression of which was associated with poor prognosis in luminal tumors. GTE-INCP was upregulated by estrogen/ER and regulated estrogen-dependent cell growth. Mechanistically, GT3-INCP interacted with GATA3, a master transcription factor key to mammary gland development/BC cell proliferation, and coregulated a gene expression program that involved many BC susceptibility/risk genes and impacted estrogen response/cell proliferation. GT3-INCP/GATA3 bound to common cis regulatory elements and upregulated the expression of the tumor-promoting and estrogen-regulated BC susceptibility/risk genes MYB and PDZK1. Our study indicates that cryptic lncRNA-encoded proteins can be an important integrated component of the master transcriptional regulatory network driving aberrant transcription in cancer, and suggests that the "hidden" lncRNA-encoded proteome might be a new space for therapeutic target discovery.

Indexed as

Breast NeoplasmsRNA, Long NoncodingCRISPR-Cas SystemsEstrogensFemaleHumansOpen Reading FramesEstrogensRNA, Long NoncodingBreast cancerGeneticsNoncoding RNAsOncologyTranslation

Identifiers

PMID36856111
PMCPMC9974104
OpenAlexW4322624753

What OpenQuestion holds

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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.