The FABP12/PPARγ pathway promotes metastatic transformation by inducing epithelial‐to‐mesenchymal transition and lipid‐derived energy production in prostate cancer cells

Early stage localized prostate cancer (PCa) has an excellent prognosis; however, patient survival drops dramatically when PCa metastasizes. The molecular mechanisms underlying PCa metastasis are complex and remain unclear. Here, we examine the role of a new member of the fatty acid‐binding protein (FABP) family, FABP12, in PCa progression. FABP12 is preferentially amplified and/or overexpressed in metastatic compared to primary tumors from both PCa patients and xenograft animal models. We show that FABP12 concurrently triggers metastatic phenotypes (induced epithelial‐to‐mesenchymal transition (EMT) leading to increased cell motility and invasion) and lipid bioenergetics (increased fatty acid uptake and accumulation, increased ATP production from fatty acid β‐oxidation) in PCa cells, supporting increased reliance on fatty acids for energy production. Mechanistically, we show that FABP12 is a driver of PPARγ activation which, in turn, regulates FABP12''s role in lipid metabolism and PCa progression. Our results point to a novel role for a FABP‐PPAR pathway in promoting PCa metastasis through induction of EMT and lipid bioenergetics.

Abbreviations

AR

androgen receptor

ATP

adenosine triphosphate

CN

copy number

CPT1

carnitine palmitoyltransferase I

CS

citrate synthase

EMT

epithelial–mesenchymal transition

ET

electron transfer‐state

FABP

fatty acid‐binding protein

LD

lipid droplet

OA

oleic acid

PCa

prostate cancer

PPAR

peroxisome proliferator‐activated receptor

PPRE

peroxisome proliferator‐activated receptor response element

TZD

thiazolidinediones

     

SIK2 represses AKT/GSK3β/β‐catenin signaling and suppresses gastric cancer by inhibiting autophagic degradation of protein phosphatases

Salt‐inducible kinase 2 (SIK2) is an important regulator in various intracellular signaling pathways related to apoptosis, tumorigenesis and metastasis. However, the involvement of SIK2 in gastric tumorigenesis and the functional linkage with gastric cancer (GC) progression remain to be defined. Here, we report that SIK2 was significantly downregulated in human GC tissues, and reduced SIK2 expression was associated with poor prognosis of patients. Overexpression of SIK2 suppressed the migration and invasion of GC cells, whereas knockdown of SIK2 enhanced cell migratory and invasive capability as well as metastatic potential. These changes in the malignant phenotype resulted from the ability of SIK2 to suppress epithelial–mesenchymal transition via inhibition of AKT/GSK3β/β‐catenin signaling. The inhibitory effect of SIK2 on AKT/GSK3β/β‐catenin signaling was mediated primarily through inactivation of AKT, due to its enhanced dephosphorylation by the upregulated protein phosphatases PHLPP2 and PP2A. The upregulation of PHLPP2 and PP2A was attributable to SIK2 phosphorylation and activation of mTORC1, which inhibited autophagic degradation of these two phosphatases. These results suggest that SIK2 acts as a tumor suppressor in GC and may serve as a novel prognostic biomarker and therapeutic target for this tumor.

Abbreviations

AMPK

AMP‐activated protein kinase

Co‐IP

co‐immunoprecipitation

EMT

epithelial–mesenchymal transition

GAPDH

glyceraldehyde‐3‐phosphate dehydrogenase

GC

gastric cancer

GEO

Gene Expression Omnibus

H&E

hematoxylin and eosin

IHC

immunohistochemistry

mTOR

mechanistic target of rapamycin

NC

negative control

PHLPP

PH domain leucine‐rich repeat protein phosphatase

PP2A

protein phosphatase 2A

qRT‐PCR

quantitative real‐time polymerase chain reaction

SIK2

salt‐inducible kinase 2

TCF/LEF

T cell factor/lymphoid enhancer‐binding factor

TCGA

The Cancer Genome Atlas

     

Long noncoding RNA LINC01578 drives colon cancer metastasis through a positive feedback loop with the NF‐κB/YY1 axis

Metastasis accounts for poor prognosis of cancers and related deaths. Accumulating evidence has shown that long noncoding RNAs (lncRNAs) play critical roles in several types of cancer. However, which lncRNAs contribute to metastasis of colon cancer is still largely unknown. In this study, we found that lncRNA LINC01578 was correlated with metastasis and poor prognosis of colon cancer. LINC01578 was upregulated in colon cancer, associated with metastasis, advanced clinical stages, poor overall survival, disease‐specific survival, and disease‐free survival. Gain‐of‐function and loss‐of‐function assays revealed that LINC01578 enhanced colon cancer cell viability and mobility in vitro and colon cancer liver metastasis in vivo. Mechanistically, nuclear factor kappa B (NF‐κB) and Yin Yang 1 (YY1) directly bound to the LINC01578 promoter, enhanced its activity, and activated LINC01578 expression. LINC01578 was shown to be a chromatin‐bound lncRNA, which directly bound NFKBIB promoter. Furthermore, LINC01578 interacted with and recruited EZH2 to NFKBIB promoter and further repressed NFKBIB expression, thereby activating NF‐κB signaling. Through activation of NF‐κB, LINC01578 further upregulated YY1 expression. Through activation of the NF‐κB/YY1 axis, LINC01578 in turn enhanced its own promoter activity, suggesting that LINC01578 and NF‐κB/YY1 formed a positive feedback loop. Blocking NF‐κB signaling abolished the oncogenic roles of LINC01578 in colon cancer. Furthermore, the expression levels of LINC01578, NFKBIB, and YY1 were correlated in clinical tissues. Collectively, this study demonstrated that LINC01578 promoted colon cancer metastasis via forming a positive feedback loop with NF‐κB/YY1 and suggested that LINC01578 represents a potential prognostic biomarker and therapeutic target for colon cancer metastasis.

Abbreviations

ChIP

chromatin immunoprecipitation

ChIRP

chromatin isolation by RNA purification

COAD

colon adenocarcinoma

CPAT

Coding‐Potential Assessment Tool

CPC

coding potential calculator

DFS

disease‐free survival

DSS

disease‐specific survival

EdU

5‐ethynyl‐2''‐deoxyuridine

H&E

hematoxylin and eosin

HR

hazard ratio

IHC

immunohistochemistry

IKK

IκB kinase

IκB

inhibitory κB

lncRNAs

long noncoding RNAs

NC

negative control

NCBI

National Center for Biotechnology Information

NF‐κB

nuclear factor kappa B

qRT‐PCR

quantitative real‐time polymerase chain reaction

RIP

RNA immunoprecipitation

RPISeq

RNA‐Protein Interaction Prediction

TCGA

The Cancer Genome Atlas

TNF

tumor necrosis factor

TUNEL

TdT‐mediated dUTP Nick‐End Labeling

YY1

Yin Yang 1

     

CircRNA EPHB4 modulates stem properties and proliferation of gliomas via sponging miR‐637 and up‐regulating SOX10

Gliomas are the most common type of primary brain tumors. CircRNA ephrin type‐B receptor 4 (circEPHB4) is a circular RNA derived from the receptor tyrosine kinase EPHB4. However, the clinical significance and the specific roles of circEPHB4 in gliomas and glioma cancer stem cells (CSC) have not been studied. Here, we found that circEPHB4 (hsa_circ_0081519) and SOX10 were up‐regulated and microRNA (miR)‐637 was down‐regulated in glioma tissues and cell lines. Consistently, circEPHB4 was positively correlated with SOX10 but negatively correlated with miR‐637. The altered expressions of these molecules were independently associated with overall survival of patients. CircEPHB4 up‐regulated SOX10 and Nestin by directly sponging miR‐637, thereby stimulating stemness, proliferation and glycolysis of glioma cells. Functionally, silencing circEPHB4 or increasing miR‐637 levels in glioma cells was sufficient to inhibit xenograft growth in vivo. In conclusion, the circEPHB4/miR‐637/SOX10/Nestin axis plays a central role in controlling stem properties, self‐renewal and glycolysis of glioma cells and predicts the overall survival of glioma patients. Targeting this axis might provide a therapeutic strategy for malignant gliomas.

Abbreviations

ANOVA

analysis of variance

circEPHB4

circRNA ephrin type‐B receptor 4

circRNA

circular RNA

HK2

hexokinase 2

mRNA

messenger RNA

miRNA

microRNA

PDK1

pyruvate dehydrogenase kinase 1

PI

propidium iodide

PKM2

pyruvate kinase M2

qRT‐PCR

quantitative real‐time polymerase chain reaction

RIP

RNA immunoprecipitation

SD

standard deviation

shcircEPHB4

short hairpin RNA specifically targeting circEPHB4

     

A novel circular RNA,hsa_circ_0030998 suppresses lung cancer tumorigenesis and Taxol resistance by sponging miR‐558

Circular RNAs (circRNAs) are single‐stranded RNAs which form a covalently closed continuous loop. Although originally shown to be non‐protein‐coding, some circRNAs can give rise to micropeptides. circRNAs have also been shown to play essential regulatory roles in a variety of developmental and disease processes. In a previous study, hsa_circ_0030998 was identified as a circRNA downregulated in lung cancer, but its potential implications and mechanisms in lung cancer were not addressed. Here, we showed that overexpressing circ_0030998 decreased proliferation, migration, and invasion of lung cancer cells, while also dampening resistance to Taxol, a classical antitumor drug. Depleting circ_0030998 reversed these phenotypic effects. A high circ_0030998 expression was correlated with a high survival rate in lung cancer patients. Additionally, we found circ_0030998 could downregulate miR‐558 expression, serving as a microRNA sponge. In conclusion, our data support that hsa_circ_0030998 can slow down the progression of lung cancer by targeting miR‐558 and suppress malignant phenotypes such as proliferation, migration, and invasion progression of lung cancer cells. Therefore, we highlight that circ_0030998 could be a novel tumor suppressor of lung cancer.

Abbreviations

circRNA

circular RNA

IP

immunoprecipitation

LAMP1

lysosomal‐associated membrane protein 1

miRNA

microRNA

MMP

matrix metalloproteinase

NC

negative control

     

Intratumoral immunosuppression profiles in 11q‐deleted neuroblastomas provide new potential therapeutic targets

High‐risk neuroblastoma (NB) patients with 11q deletion frequently undergo late but consecutive relapse cycles with fatal outcome. To date, no actionable targets to improve current multimodal treatment have been identified. We analyzed immune microenvironment and genetic profiles of high‐risk NB correlating with 11q immune status. We show in two independent cohorts that 11q‐deleted NB exhibits various immune inhibitory mechanisms, including increased CD4+ resting T cells and M2 macrophages, higher expression of programmed death‐ligand 1, interleukin‐10, transforming growth factor‐beta‐1, and indoleamine 2,3‐dioxygenase 1 (P < 0.05), and also higher chromosomal breakages (P ≤ 0.02) and hemizygosity of immunosuppressive miRNAs than MYCN‐amplified and other 11q‐nondeleted high‐risk NB. We also analyzed benefits of maintenance treatment in 83 high‐risk stage M NB patients focusing on 11q status, either with standard anti‐GD2 immunotherapy (n = 50) or previous retinoic acid‐based therapy alone (n = 33). Immunotherapy associated with higher EFS (50 vs. 30, P = 0.028) and OS (72 vs. 52, P = 0.047) at 3 years in the overall population. Despite benefits from standard anti‐GD2 immunotherapy in high‐risk NB patients, those with 11q deletion still face poor outcome. This NB subgroup displays intratumoral immune suppression profiles, revealing a potential therapeutic strategy with combination immunotherapy to circumvent this immune checkpoint blockade.

Abbreviations

11q‐del

11q‐deleted

ADCC

antibody‐dependent cellular cytotoxicity

CDC

complement‐dependent cytotoxicity

COJEC

chemotherapeutic agents cisplatin, vincristine, carboplatin, etoposide, and cyclophosphamide

CTLA‐4

cytotoxic T lymphocyte antigen 4

EFS

event‐free survival

FISH

fluorescence in situ hybridization

HR

hazard ratio

ICI

immune checkpoint inhibitor

IDO1

indoleamine 2,3‐dioxygenase 1

IFN‐γ

interferon‐γ

IL‐10

interleukin 10

INRG

International Neuroblastoma Risk Group

miR

microRNA

MLPA

multiplex ligation‐dependent probe amplification

MMR

mismatch repair

MNA

MYCN amplification

MS

metastatic special stage

MSI

microsatellite instability

NB

neuroblastoma

NCA

numerical chromosome aberrations

NOS

nitric oxide synthase

OS

overall survival

PD‐1

programmed cell death protein 1

PD‐L1

programmed death‐ligand 1

SCA

segmental chromosome aberrations

TAM

tumor‐associated macrophages

Tfh

follicular helper T cells

TGF‐β

tumor growth factor‐β

TMB

tumor mutational burden

TME

tumor microenvironment

TNF‐α

tumor necrosis factor‐α

Treg

regulatory T cells

     

Downregulation of miR‐326 and its host gene β‐arrestin1 induces pro‐survival activity of E2F1 and promotes medulloblastoma growth

Persistent mortality rates of medulloblastoma (MB) and severe side effects of the current therapies require the definition of the molecular mechanisms that contribute to tumor progression. Using cultured MB cancer stem cells and xenograft tumors generated in mice, we show that low expression of miR‐326 and its host gene β‐arrestin1 (ARRB1) promotes tumor growth enhancing the E2F1 pro‐survival function. Our models revealed that miR‐326 and ARRB1 are controlled by a bivalent domain, since the H3K27me3 repressive mark is found at their regulatory region together with the activation‐associated H3K4me3 mark. High levels of EZH2, a feature of MB, are responsible for the presence of H3K27me3. Ectopic expression of miR‐326 and ARRB1 provides hints into how their low levels regulate E2F1 activity. MiR‐326 targets E2F1 mRNA, thereby reducing its protein levels; ARRB1, triggering E2F1 acetylation, reverses its function into pro‐apoptotic activity. Similar to miR‐326 and ARRB1 overexpression, we also show that EZH2 inhibition restores miR‐326/ARRB1 expression, limiting E2F1 pro‐proliferative activity. Our results reveal a new regulatory molecular axis critical for MB progression.

Abbreviations

ARRB1

β‐arrestin1

BTC

bulk tumor cell

CSCs

cancer stem cells

EZH2

enhancer of zeste homolog 2

GCP

granule cell progenitors

MB

medulloblastoma

OFC

oncosphere‐forming cell

     

Metabolic enzyme ACSL3 is a prognostic biomarker and correlates with anticancer effectiveness of statins in non‐small cell lung cancer

Lung cancer is one of the most common cancers, still characterized by high mortality rates. As lipid metabolism contributes to cancer metabolic reprogramming, several lipid metabolism genes are considered prognostic biomarkers of cancer. Statins are a class of lipid‐lowering compounds used in treatment of cardiovascular disease that are currently studied for their antitumor effects. However, their exact mechanism of action and specific conditions in which they should be administered remains unclear. Here, we found that simvastatin treatment effectively promoted antiproliferative effects and modulated lipid metabolism‐related pathways in non‐small cell lung cancer (NSCLC) cells and that the antiproliferative effects of statins were potentiated by overexpression of acyl‐CoA synthetase long‐chain family member 3 (ACSL3). Moreover, ACSL3 overexpression was associated with worse clinical outcome in patients with high‐grade NSCLC. Finally, we found that patients with high expression levels of ACSL3 displayed a clinical benefit of statins treatment. Therefore, our study highlights ACSL3 as a prognostic biomarker for NSCLC, useful to select patients who would obtain a clinical benefit from statin administration.

Abbreviations

3‐HMGCR

3‐hydroxy‐3‐methylglutaryl‐coenzyme A reductase

95% CI

95% confidence intervals

ACSL3

acyl‐CoA synthetase long‐chain family member 3

ACSLs

long‐chain acyl‐CoA synthetases

ALP

alkaline phosphatase

APOA1

apolipoprotein A1

ATCC

American Type Culture Collection

CASP9

caspase 9

ECAR

extracellular acidification rate

ECOG

Eastern Cooperative Oncology Group

EMT

epithelial‐to‐mesenchymal transition

ER

endoplasmic reticulum

FAs

fatty acids

FFPE

formalin‐fixed, paraffin‐embedded

GTEx

genotype‐tissue expression

HR

Hazard ratio

IC50

half‐maximal inhibitory concentration

LDH

lactate dehydrogenase

MTT

3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium

NID1

nidogen 1

No ORF

no open reading frame

NSCLC

non‐small cell lung cancer

OCR

oxygen consumption rate

OS

overall survival

PGE2

prostaglandins E2

RETN

resistin

TCGA

The Cancer Genome Atlas

TMA

tumor tissue microarray

     

Constitutive activation of integrin αvβ3 contributes to anoikis resistance of ovarian cancer cells

Epithelial ovarian cancer involves the shedding of single tumor cells or spheroids from the primary tumor into ascites, followed by their survival, and transit to the sites of metastatic colonization within the peritoneal cavity. During their flotation, anchorage‐dependent epithelial‐type tumor cells gain anoikis resistance, implicating integrins, including αvß3. In this study, we explored anoikis escape, cisplatin resistance, and prosurvival signaling as a function of the αvß3 transmembrane conformational activation state in cells suspended in ascites. A high‐affinity and constitutively signaling‐competent αvß3 variant, which harbored unclasped transmembrane domains, was found to confer delayed anoikis onset, enhanced cisplatin resistance, and reduced cell proliferation in ascites or 3D‐hydrogels, involving p27^kip upregulation. Moreover, it promoted EGF‐R expression and activation, prosurvival signaling, implicating FAK, src, and PKB/Akt. This led to the induction of the anti‐apoptotic factors Bcl‐2 and survivin suppressing caspase activation, compared to a signaling‐incapable αvß3 variant displaying firmly associated transmembrane domains. Dissecting the mechanistic players for αvß3‐dependent survival and peritoneal metastasis of ascitic ovarian cancer spheroids is of paramount importance to target their anchorage independence by reversing anoikis resistance and blocking αvß3‐triggered prosurvival signaling.

Abbreviations

CLSM

confocal laser scanning microscopy

ECM

extracellular matrix

EGF‐R

epidermal growth factor receptor

EOC

epithelial ovarian cancer

FAK

focal adhesion kinase

FIGO

Fédération Internationale de Gynécologie et d''Obstétrique

GAPDH

glyceraldehyde 3‐phosphate dehydrogenase)

GpA

glycophorin A

IMD

integrin‐mediated death

MAPK

mitogen‐activated protein kinases

PI

propidium iodide

RGD

Arg‐Gly‐Asp

TMD

transmembrane domain

     

Long non‐coding RNA RACGAP1P promotes breast cancer invasion and metastasis via miR‐345‐5p/RACGAP1‐mediated mitochondrial fission

Long non‐coding RNAs (lncRNAs) are emerging as key molecules in various cancers, yet their potential roles in the pathogenesis of breast cancer are not fully understood. Herein, using microarray analysis, we revealed that the lncRNA RACGAP1P, the pseudogene of Rac GTPase activating protein 1 (RACGAP1), was up‐regulated in breast cancer tissues. Its high expression was confirmed in 25 pairs of breast cancer tissues and 8 breast cell lines by qRT‐PCR. Subsequently, we found that RACGAP1P expression was positively correlated with lymph node metastasis, distant metastasis, TNM stage, and shorter survival time in 102 breast cancer patients. Then, in vitro and in vivo experiments were designed to investigate the biological function and regulatory mechanism of RACGAP1P in breast cancer cell lines. Overexpression of RACGAP1P in MDA‐MB‐231 and MCF7 breast cell lines increased their invasive ability and enhanced their mitochondrial fission. Conversely, inhibition of mitochondrial fission by Mdivi‐1 could reduce the invasive ability of RACGAP1P‐overexpressing cell lines. Furthermore, the promotion of mitochondrial fission by RACGAP1P depended on its competitive binding with miR‐345‐5p against its parental gene RACGAP1, leading to the activation of dynamin‐related protein 1 (Drp1). In conclusion, lncRNA RACGAP1P promotes breast cancer invasion and metastasis via miR‐345‐5p/RACGAP1 pathway‐mediated mitochondrial fission.

Abbreviations

CDS

coding sequence

ceRNAs

competitive endogenous RNAs

Drp1

dynamin‐related protein 1

FFPE

formalin‐fixed paraffin‐embedded

lncRNAs

long non‐coding RNAs

miRNAs

microRNAs

RACGAP1

Rac GTPase activating protein 1

TCGA

The Cancer Genome Atlas

     

Comprehensive cross‐platform comparison of methods for non‐invasive EGFR mutation testing: results of the RING observational trial

Several platforms for noninvasive EGFR testing are currently used in the clinical setting with sensitivities ranging from 30% to 100%. Prospective studies evaluating agreement and sources for discordant results remain lacking. Herein, seven methodologies including two next‐generation sequencing (NGS)‐based methods, three high‐sensitivity PCR‐based platforms, and two FDA‐approved methods were compared using 72 plasma samples, from EGFR‐mutant non‐small‐cell lung cancer (NSCLC) patients progressing on a first‐line tyrosine kinase inhibitor (TKI). NGS platforms as well as high‐sensitivity PCR‐based methodologies showed excellent agreement for EGFR‐sensitizing mutations (K = 0.80–0.89) and substantial agreement for T790M testing (K = 0.77 and 0.68, respectively). Mutant allele frequencies (MAFs) obtained by different quantitative methods showed an excellent reproducibility (intraclass correlation coefficients 0.86–0.98). Among other technical factors, discordant calls mostly occurred at mutant allele frequencies (MAFs) ≤ 0.5%. Agreement significantly improved when discarding samples with MAF ≤ 0.5%. EGFR mutations were detected at significantly lower MAFs in patients with brain metastases, suggesting that these patients risk for a false‐positive result. Our results support the use of liquid biopsies for noninvasive EGFR testing and highlight the need to systematically report MAFs.

Abbreviations

BEAMing

beads, emulsion, amplification, and magnetics

cfDNA

circulating free DNA, cell‐free DNA

cobas

cobas^® EGFR Mutation Test v2 (Roche Diagnostics)

ctDNA

circulating tumor DNA

CUSUM

cumulative sum

ddPCR

droplet digital polymerase chain reaction

dPCR

digital polymerase chain reaction

EGFR

epidermal growth factor receptor

FFPE

formalin‐fixed, paraffin‐embedded

ICC

intraclass correlation coefficient

MAF

mutant allele frequency

NGS platforms

Ion S5™ XL and GeneRead™

NGS

next‐generation sequencing

NSCLC

non‐small‐cell lung cancer

PNA‐Q‐PCR

peptic nucleic acid probe‐based real‐time polymerase chain reaction

Therascreen

Therascreen EGFR Plasma RGQ PCR Kit (QIAgen)

TKI

tyrosine kinase inhibitor

     

Predicting osimertinib‐treatment outcomes through EGFR mutant‐fraction monitoring in the circulating tumor DNA of EGFR T790M‐positive patients with non‐small cell lung cancer (WJOG8815L)

The WJOG8815L phase II clinical study involves patients with non‐small cell lung cancer (NSCLC) that harbored the EGFR T790M mutation, which confers resistance to EGFR tyrosine kinase inhibitors (TKIs). The purpose of this study was to assess the predictive value of monitoring EGFR genomic alterations in circulating tumor DNA (ctDNA) from patients with NSCLC that undergo treatment with the third‐generation EGFR‐TKI osimertinib. Plasma samples of 52 patients harboring the EGFR T790M mutation were obtained pretreatment (Pre), on day 1 of treatment cycle 4 (C4) or cycle 9 (C9), and at diagnosis of disease progression or treatment discontinuation (PD/stop). CtDNA was screened for EGFR‐TKI‐sensitizing mutations, the EGFR T790M mutation, and other genomic alterations using the cobas EGFR Mutation Test v2 (cobas), droplet digital PCR (ddPCR), and targeted deep sequencing. Analysis of the sensitizing—and T790M—EGFR mutant fractions (MFs) was used to determine tumor mutational burden. Both MFs were found to decrease during treatment, whereas rebound of the sensitizing EGFR MF was observed at PD/stop, suggesting that osimertinib targeted both T790M mutation‐positive tumors and tumors with sensitizing EGFR mutations. Significant differences in the response rates and progression‐free survival were observed between the sensitizing EGFR MF‐high and sensitizing EGFR MF‐low groups (cutoff: median) at C4. In conclusion, ctDNA monitoring for sensitizing EGFR mutations at C4 is suitable for predicting the treatment outcomes in NSCLC patients receiving osimertinib (Clinical Trial Registration No.: UMIN000022076).

Abbreviations

CIs

confidence intervals

ctDNA

circulating tumor DNA

ddPCR

droplet digital PCR

EGFR

epidermal growth factor receptor

MFs

mutant fractions

NGS

next‐generation sequencing

NSCLC

non‐small cell lung cancer

ORR

overall response rate

OS

overall survival

PD

progressive disease

PFS

progression‐free survival

PR

partial response

SD

stable disease

TKI

tyrosine kinase inhibitor

     

Genome‐scale CRISPR screening identifies cell cycle and protein ubiquitination processes as druggable targets for erlotinib‐resistant lung cancer

Erlotinib is highly effective in lung cancer patients with epidermal growth factor receptor (EGFR) mutations. However, despite initial favorable responses, most patients rapidly develop resistance to erlotinib soon after the initial treatment. This study aims to identify new genes and pathways associated with erlotinib resistance mechanisms in order to develop novel therapeutic strategies. Here, we induced knockout (KO) mutations in erlotinib‐resistant human lung cancer cells (NCI‐H820) using a genome‐scale CRISPR‐Cas9 sgRNA library to screen for genes involved in erlotinib susceptibility. The spectrum of sgRNAs incorporated among erlotinib‐treated cells was substantially different to that of the untreated cells. Gene set analyses showed a significant depletion of ‘cell cycle process’ and ‘protein ubiquitination pathway’ genes among erlotinib‐treated cells. Chemical inhibitors targeting genes in these two pathways, such as nutlin‐3 and carfilzomib, increased cancer cell death when combined with erlotinib in both in vitro cell line and in vivo patient‐derived xenograft experiments. Therefore, we propose that targeting cell cycle processes or protein ubiquitination pathways are promising treatment strategies for overcoming resistance to EGFR inhibitors in lung cancer.

Abbreviations

ATCC

American Type Culture Collection

edgeR

bioconductor software package for examining differential expression of replicated count data

EGFR

epidermal growth factor receptor

GeCKO

genome‐scale CRISPR/Cas9 knockout

HGF

hepatocyte growth factor

MAGeCK‐VISPR algorithm

comprehensive quality control analysis and visualization pipeline for CRISPR/Cas9 screens based on MAGeCK VISPR

MOI

multiplicity of infection

NSCLC

non‐small‐cell lung cancer

SCLC

small cell lung cancer

sgRNA

single‐guide RNA

TKIs

tyrosine kinase inhibitors

     

EBP2, a novel NPM‐ALK‐interacting protein in the nucleolus,contributes to the proliferation of ALCL cells by regulating tumor suppressor p53

The oncogenic fusion protein nucleophosmin‐anaplastic lymphoma kinase (NPM‐ALK), found in anaplastic large‐cell lymphoma (ALCL), localizes to the cytosol, nucleoplasm, and nucleolus. However, the relationship between its localization and transforming activity remains unclear. We herein demonstrated that NPM‐ALK localized to the nucleolus by binding to nucleophosmin 1 (NPM1), a nucleolar protein that exhibits shuttling activity between the nucleolus and cytoplasm, in a manner that was dependent on its kinase activity. In the nucleolus, NPM‐ALK interacted with Epstein–Barr virus nuclear antigen 1‐binding protein 2 (EBP2), which is involved in rRNA biosynthesis. Moreover, enforced expression of NPM‐ALK induced tyrosine phosphorylation of EBP2. Knockdown of EBP2 promoted the activation of the tumor suppressor p53, leading to G₀/G₁‐phase cell cycle arrest in Ba/F3 cells transformed by NPM‐ALK and ALCL patient‐derived Ki‐JK cells, but not ALCL patient‐derived SUDH‐L1 cells harboring p53 gene mutation. In Ba/F3 cells transformed by NPM‐ALK and Ki‐JK cells, p53 activation induced by knockdown of EBP2 was significantly inhibited by Akt inhibitor GDC‐0068, mTORC1 inhibitor rapamycin, and knockdown of Raptor, an essential component of mTORC1. These results suggest that the knockdown of EBP2 triggered p53 activation through the Akt‐mTORC1 pathway in NPM‐ALK‐positive cells. Collectively, the present results revealed the critical repressive mechanism of p53 activity by EBP2 and provide a novel therapeutic strategy for the treatment of ALCL.

Abbreviations

ALCL

anaplastic large‐cell lymphoma

EBP2

EBNA1‐binding protein 2

IMT

inflammatory myofibroblastic tumors

mTOR

mechanistic target of rapamycin

mTORC1

mTOR complex 1

NoLS

nucleolar localization signal

NPM1

nucleophosmin 1

NPM‐ALK

nucleophosmin‐anaplastic lymphoma kinase

NSCLC

non‐small cell lung cancer

TPM3

tropomyosin 3