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RongZong Liu WonShik Choi Saket Jain Deepak Dinakaran Xia Xu Woo Hyun Han XiaoHong Yang Darryl D. Glubrecht Ronald B. Moore Hlne Lemieux Roseline Godbout 《Molecular oncology》2020,14(12):3100
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
3.
JeongYun Choi Haeseung Lee EunJi Kwon HyeonJoon Kong OkSeon Kwon HyukJin Cha 《Molecular oncology》2021,15(2):679
The acquisition of chemoresistance remains a major cause of cancer mortality due to the limited accessibility of targeted or immune therapies. However, given that severe alterations of molecular features during epithelial‐to‐mesenchymal transition (EMT) lead to acquired chemoresistance, emerging studies have focused on identifying targetable drivers associated with acquired chemoresistance. Particularly, AXL, a key receptor tyrosine kinase that confers resistance against targets and chemotherapeutics, is highly expressed in mesenchymal cancer cells. However, the underlying mechanism of AXL induction in mesenchymal cancer cells is poorly understood. Our study revealed that the YAP signature, which was highly enriched in mesenchymal‐type lung cancer, was closely correlated to AXL expression in 181 lung cancer cell lines. Moreover, using isogenic lung cancer cell pairs, we also found that doxorubicin treatment induced YAP nuclear translocation in mesenchymal‐type lung cancer cells to induce AXL expression. Additionally, the concurrent activation of TGFβ signaling coordinated YAP‐dependent AXL expression through SMAD4. These data suggest that crosstalk between YAP and the TGFβ/SMAD axis upon treatment with chemotherapeutics might be a promising target to improve chemosensitivity in mesenchymal‐type lung cancer.
Abbreviations
- AUC
- area under the curve
- AXL
- AXL receptor tyrosine kinase
- BCL2
- B‐cell lymphoma 2
- CTD2
- cancer target discovery and development
- CTGF
- connective tissue growth factor
- DEG
- differentially expressed genes
- DOXO
- doxorubicin
- EMT
- epithelial–mesenchymal transition
- Eto
- etoposide
- FDA
- Food and Drug Administration
- ITGB3
- integrin beta‐3
- MAPK
- mitogen‐activated protein kinase
- MMP2
- matrix metalloproteinase‐2
- MMP9
- matrix metalloproteinase‐9
- mRNA
- messenger RNA
- NF‐κB
- nuclear factor kappa‐light‐chain‐enhancer of activated B cells
- SBE
- SMAD binding element
- SERPINE1
- serpin family E member 1
- siRNA
- small interfering RNA
- ssGSEA
- single‐sample gene set enrichment analysis
- TCGA
- The Cancer Genome Atlas
- TGFβ
- transforming growth factor beta
- YAP
- Yes‐associated protein
- YAP8SA
- mutants of inhibitory phosphorylation site at eight serine to Alanine of YAP
- ZEB1
- zinc finger E‐box binding homeobox 1
- ZEB2
- zinc finger E‐box‐binding homeobox 2
4.
Esther Coronado Yania Yaez Enrique Vidal Luis Rubio Francisco VeraSempere Antonio Jos CaadaMartínez Joaquín Panadero Adela Caete Ruth Ladenstein Victoria Castel Jaime Font de Mora 《Molecular oncology》2021,15(2):364
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
5.
Xiaoman Dai Yanhui Zhang Xiaohan Lin Xiaoxing Huang Yi Zhang Chaorong Xue Wannan Chen Jianxin Ye Xinjian Lin Xu Lin 《Molecular oncology》2021,15(1):228
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
6.
Lindsey M. Charo Ramez N. Eskander Ryosuke Okamura Sandip P. Patel Mina Nikanjam Richard B. Lanman David E. Piccioni Shumei Kato Michael T. McHale Razelle Kurzrock 《Molecular oncology》2021,15(1):67
Molecular characterization of cancers is important in dictating prognostic factors and directing therapy. Next‐generation sequencing of plasma circulating tumor DNA (ctDNA) offers less invasive, more convenient collection, and a more real‐time representation of a tumor and its molecular heterogeneity than tissue. However, little is known about the clinical implications of ctDNA assessment in gynecologic cancer. We describe the molecular landscape identified on ctDNA, ctDNA concordance with tissue‐based analysis, and factors associated with overall survival (OS) in gynecologic cancer patients with ctDNA analysis. We reviewed clinicopathologic and genomic information for 105 consecutive gynecologic cancer patients with ctDNA analysis, including 78 with tissue‐based sequencing, enrolled in the Profile‐Related Evidence Determining Individualized Cancer Therapy () trial at the University of California San Diego Moores Cancer Center starting July 2014. Tumors included ovarian (47.6%), uterine (35.2%), cervical (12.4%), vulvovaginal (2.9%), and unknown gynecologic primary (1.9%). Most ovarian and uterine cancers (86%) were high grade. 34% (N = 17) of ovarian cancers had BRCA alterations, and 22% (N = 11) were platinum sensitive. Patients received median 2 (range 0–13) lines of therapy prior to ctDNA collection. Most (75.2%) had at least one characterized alteration on ctDNA analysis, and the majority had unique genomic profiles on ctDNA. Most common alterations were TP53 (N = 59, 56.2% of patients), PIK3CA (N = 26, 24.8%), KRAS (N = 14, 13.3%), BRAF (N = 10, 9.5%), ERBB2 (N = 8, 7.6%), and MYC (N = 8, 7.6%). Higher ctDNA maximum mutation allele frequency was associated with worse OS [hazard ratio (HR): 1.91, P = 0.03], while therapy matched to ctDNA alterations (N = 33 patients) was independently associated with improved OS (HR: 0.34, P = 0.007) compared to unmatched therapy (N = 28 patients) in multivariate analysis. Tissue and ctDNA genomic results showed high concordance unaffected by temporal or spatial factors. This study provides evidence for the utility of ctDNA in determining outcome and individualizing cancer therapy in patients with gynecologic cancer. NCT02478931
Abbreviations
- BMI
- body mass index
- BRCA
- breast cancer susceptibility gene
- CAP
- College of American Pathologists
- CI
- confidence interval
- CLIA
- Clinical Laboratory Improvement Amendments
- ctDNA
- circulating tumor DNA
- Del
- deletion
- HR
- hazard ratio
- ID
- identification number
- In/del
- insertion/deletion
- MAF
- mutation allele frequency
- NR
- not reached
- OS
- overall survival
- PREDICT
- Profile‐Related Evidence Determining Individualized Cancer Therapy
- SE
- standard error
- SNV
- single nucleotide variant
- UCSD
- University of California San Diego
- VUS
- variants of unknown significance
7.
Pauline A. J. Mendelaar Jaco Kraan Mai Van Leonie L. Zeune Leon W. M. M. Terstappen Esther Oomende Hoop John W. M. Martens Stefan Sleijfer 《Molecular oncology》2021,15(1):116
Circulating tumor cells (CTCs) in the blood of cancer patients are of high clinical relevance. Since detection and isolation of CTCs often rely on cell dimensions, knowledge of their size is key. We analyzed the median CTC size in a large cohort of breast (BC), prostate (PC), colorectal (CRC), and bladder (BLC) cancer patients. Images of patient‐derived CTCs acquired on cartridges of the FDA‐cleared CellSearch® method were retrospectively collected and automatically re‐analyzed using the accept software package. The median CTC diameter (μm) was computed per tumor type. The size differences between the different tumor types and references (tumor cell lines and leukocytes) were nonparametrically tested. A total of 1962 CellSearch® cartridges containing 71 612 CTCs were included. In BC, the median computed diameter (CD) of patient‐derived CTCs was 12.4 μm vs 18.4 μm for cultured cell line cells. For PC, CDs were 10.3 μm for CTCs vs 20.7 μm for cultured cell line cells. CDs for CTCs of CRC and BLC were 7.5 μm and 8.6 μm, respectively. Finally, leukocytes were 9.4 μm. CTC size differed statistically significantly between the four tumor types and between CTCs and the reference data. CTC size differences between tumor types are striking and CTCs are smaller than cell line tumor cells, whose size is often used as reference when developing CTC analysis methods. Based on our data, we suggest that the size of CTCs matters and should be kept in mind when designing and optimizing size‐based isolation methods.
Abbreviations
- ACCEPT
- Automated CTC Classification, Enumeration, and PhenoTyping software
- BC
- breast cancer
- BLC
- bladder cancer
- CD
- computed diameter
- CEL
- cultured tumor cell (cell line)
- CK
- cytokeratin
- CRC
- colorectal cancer
- CTC‐L
- circulating tumor cells derived from cerebrospinal fluid (liquor)
- CTCs
- circulating tumor cells
- DAPI
- 4′6‐diamidino‐2‐phenylindole
- EMT
- epithelial–mesenchymal transition
- EpCAM
- epithelial cell adhesion molecule
- IQR
- interquartile range
- KW test
- Kruskal–Wallis test
- MWU test
- Mann–Whitney U test
- NCR
- nucleus/cytoplasm ratio
- P2A
- perimeter to area
- PC
- prostate cancer
- TIF
- tagged Image Format files
- TXT
- text file
- μm
- micrometer
- µm2
- square micrometers
8.
Sumit Agarwal Michael Behring HyungGyoon Kim Darshan S. Chandrashekar Balabhadrapatruni V. S. K. Chakravarthi Nirzari Gupta Prachi Bajpai Amr Elkholy Sameer Al Diffalha Pran K. Datta Martin J. Heslin Sooryanarayana Varambally Upender Manne 《Molecular oncology》2020,14(12):3007
Overexpression of TRIP13, a member of the AAA‐ATPase family, is linked with various cancers, but its role in metastasis is unknown in colorectal cancer (CRC). In the current study, we investigated the role TRIP13 in experimental metastasis and its involvement in regulation of WNT/β‐catenin and EGFR signaling pathways. Evaluation of formalin‐fixed paraffin‐embedded (FFPE) and frozen tissues of adenomas and CRCs, along with their corresponding normal samples, showed that TRIP13 was gradually increased in its phenotypic expression from adenoma to carcinoma and that its overexpression in CRCs was independent of patient''s gender, age, race/ethnicity, pathologic stage, and p53 and microsatellite instability (MSI) status. Moreover, liver metastases of CRCs showed TRIP13 overexpression as compared to matched adjacent liver tissues, indicating the biological relevance of TRIP13 in CRC progression and metastasis. TRIP13 knockdown impeded colony formation, invasion, motility, and spheroid‐forming capacity of CRC cells irrespective of their p53 and MSI status. Furthermore, xenograft studies demonstrated high expression of TRIP13 contributed to tumor growth and metastasis. Depletion of TRIP13 in CRC cells decreased metastasis and it was independent of the p53 and MSI status. Furthermore, TRIP13 interacted with a tyrosine kinase, FGFR4; this interaction could be essential for activation of the EGFR‐AKT pathway. In addition, we demonstrated the involvement of TRIP13 in the Wnt signaling pathway and in the epithelial–mesenchymal transition. Cell‐based assays revealed that miR‐192 and PNPT1 regulate TRIP13 expression in CRC. Additionally, RNA sequencing of CRC cells with TRIP13 knockdown identified COL6A3, TREM2, SHC3, and KLK7 as downstream targets that may have functional relevance in TRIP13‐mediated tumor growth and metastasis. In summary, our results demonstrated that TRIP13 promotes tumor growth and metastasis regardless of p53 and MSI status, and indicated that it is a target for therapy of CRC.
Abbreviations
- CIN
- chromosomal instability
- CRC
- colorectal cancer
- EMT
- epithelial–mesenchymal transition
- FFPE
- formalin‐fixed, paraffin‐embedded
- LEF
- lymphoid enhancer factor
- MS
- microsatellite
- MSI
- microsatellite instable
- MSS
- microsatellite stable
- NSG
- NOD/SCID/IL2γ receptor‐null
- NT
- nontargeting
- SAC
- spindle assembly checkpoint
- TCF
- T‐cell factor
- TRIP13
- thyroid hormone receptor interactor 13
- UAB
- University of Alabama at Birmingham
9.
Breast cancer metastasis is a complex process that depends not only on intrinsic characteristics of metastatic stem cells, but also on the particular microenvironment that supports their growth and modulates the plasticity of the system. In search for microenvironmental factors supporting cancer stem cell (CSC) growth and tumour progression to metastasis, we here investigated the role of the matricellular protein transforming growth factor beta induced (TGFBI) in breast cancer. We crossed the MMTV‐PyMT model of mammary gland tumorigenesis with a Tgfbi Δ/Δ mouse and studied the CSC content of the tumours. We performed RNAseq on wt and ko tumours, and analysed the tumour vasculature and the immune compartment by IHC and FACS. The source of TGFBI expression was determined by qPCR and by bone marrow transplantation experiments. Finally, we performed in silico analyses using the METABRIC cohort to assess the potential prognostic value of TGFBI. We observed that deletion of Tgfbi led to a dramatic decrease in CSC content and lung metastasis. Our results show that lack of TGFBI resulted in tumour vessel normalisation, with improved vessel perfusion and decreased hypoxia, a major factor controlling CSCs and metastasis. Furthermore, human data mining in a cohort of breast cancer patients showed that higher expression of TGFBI correlates with poor prognosis and is associated with the more aggressive subtypes of breast cancer. Overall, these data reveal a novel biological mechanism controlling metastasis that could potentially be exploited to improve the efficacy and delivery of chemotherapeutic agents in breast cancer.
Abbreviations
- CSC
- cancer stem cell
- ECM
- extracellular matrix
- EMT
- epithelial‐to‐mesenchymal transition
- FACS
- fluorescence‐activated cell sorting
- TGFBI
- transforming growth factor beta induced
10.
11.
《Molecular oncology》2021,15(1):43
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
12.
Xin Guo Aman Wang Wen Wang Ya Wang Huan Chen Xiaolong Liu Tian Xia Aijia Zhang Di Chen Huan Qi Ting Ling Hailong Piao Hongjiang Wang 《Molecular oncology》2021,15(2):642
Dependence on glutamine and acceleration of fatty acid oxidation (FAO) are both metabolic characteristics of triple‐negative breast cancer (TNBC). With the rapid growth of tumors, accelerated glutamine catabolism depletes local glutamine, resulting in glutamine deficiency. Studies have shown that the use of alternative energy sources, such as fatty acids, enables tumor cells to continue to proliferate rapidly in a glutamine‐deficient microenvironment. However, the detailed mechanisms behind this metabolic change are still unclear. Herein, we identified HRD1 as a regulatory protein for FAO that specifically inhibits TNBC cell proliferation under glutamine‐deficient conditions. Furthermore, we observed that HRD1 expression is significantly downregulated under glutamine deprivation and HRD1 directly ubiquitinates and stabilizes CPT2 through K48‐linked ubiquitination. In addition, the inhibition of CPT2 expression dramatically suppresses TNBC cell proliferation mediated by HRD1 knockdown in vitro and in vivo. Finally, we found that the glutaminase inhibitor CB839 significantly inhibited TNBC cell tumor growth, but not in the HRD1 knock‐downed TNBC cells. These findings provide an invaluable insight into HRD1 as a regulator of lipid metabolism and have important implications for TNBC therapeutic targeting.
Abbreviations
- CPT1A
- carnitine palmitoyltransferase 1A
- CPT2
- carnitine palmitoyltransferase 2
- FAO
- fatty acid oxidation
- GLS
- glutaminase
- HRD1
- HMG‐CoA reductase degradation protein 1
- LC‐MS
- liquid chromatography mass spectrometry
- TNBC
- triple‐negative breast cancer
13.
14.
Lara Paula Fernndez María Merino Gonzalo Colmenarejo Juan MorenoRubio Ruth SnchezMartínez Adriana QuijadaFreire Marta Gmez de Cedrn Guillermo Reglero Enrique Casado María Sereno Ana Ramírez de Molina 《Molecular oncology》2020,14(12):3135
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
15.
Liang Liu Tamjeed Ahmed William J. Petty Stefan Grant Jimmy Ruiz Thomas W. Lycan Umit Topaloglu PingChieh Chou Lance D. Miller Gregory A. Hawkins Martha A. AlexanderMiller Stacey S. ONeill Bayard L. Powell Ralph B. DAgostino Jr. Reginald F. Munden Boris Pasche Wei Zhang 《Molecular oncology》2021,15(2):462
KRAS is a key oncogenic driver in lung adenocarcinoma (LUAD). Chromatin‐remodeling gene SMARCA4 is comutated with KRAS in LUAD; however, the impact of SMARCA4 mutations on clinical outcome has not been adequately established. This study sought to shed light on the clinical significance of SMARCA4 mutations in LUAD. The association of SMARCA4 mutations with survival outcomes was interrogated in four independent cohorts totaling 564 patients: KRAS‐mutant patients with LUAD who received nonimmunotherapy treatment from (a) The Cancer Genome Atlas (TCGA) and (b) the MSK‐IMPACT Clinical Sequencing (MSK‐CT) cohorts; and KRAS‐mutant patients with LUAD who received immune checkpoint inhibitor‐based immunotherapy treatment from (c) the MSK‐IMPACT (MSK‐IO) and (d) the Wake Forest Baptist Comprehensive Cancer Center (WFBCCC) immunotherapy cohorts. Of the patients receiving nonimmunotherapy treatment, in the TCGA cohort (n = 155), KRAS‐mutant patients harboring SMARCA4 mutations (KS) showed poorer clinical outcome [P = 6e‐04 for disease‐free survival (DFS) and 0.031 for overall survival (OS), respectively], compared to KRAS‐TP53 comutant (KP) and KRAS‐only mutant (K) patients; in the MSK‐CT cohort (n = 314), KS patients also exhibited shorter OS than KP (P = 0.03) or K (P = 0.022) patients. Of patients receiving immunotherapy, KS patients consistently exhibited the shortest progression‐free survival (PFS; P = 0.0091) in the MSK‐IO (n = 77), and the shortest PFS (P = 0.0026) and OS (P = 0.0014) in the WFBCCC (n = 18) cohorts, respectively. Therefore, mutations of SMARCA4 represent a genetic factor leading to adverse clinical outcome in lung adenocarcinoma treated by either nonimmunotherapy or immunotherapy.
Abbreviations
- DCB
- durable clinical benefit
- DFS
- disease‐free survival
- K
- KRAS‐only mutant
- KL
- KRAS‐STK11 comutant
- KP
- KRAS‐TP53 comutant
- KS
- KRAS‐SMARCA4 comutant
- LUAD
- lung adenocarcinoma
- LUSC
- lung squamous carcinoma
- MSK‐CT
- the MSK‐IMPACT clinical sequencing cohort
- MSK‐IO
- MSK‐IMPACT cohort
- NSCLC
- non‐small‐cell lung cancer
- OS
- overall survival
- PFS
- progression‐free survival
- TCGA
- The Cancer Genome Atlas
- WFBCCC
- the Wake Forest Baptist Comprehensive Cancer Center
16.
17.
18.
Thomas Helland Bjrn Naume Steinar Hustad Ersilia Bifulco Jan Terje Kvaly Anna Barbro Stersdal Marit Synnestvedt Tone Hoel Lende Bjrnar Gilje Ingvil Mjaaland Kjetil Weyde Egil Stre Blix Gro Wiedswang Elin Borgen Daniel Louis Hertz Emiel Adrianus Maria Janssen Gunnar Mellgren Hvard Siland 《Molecular oncology》2021,15(4):957
Low steady‐state levels of active tamoxifen metabolites have been associated with inferior treatment outcomes. In this retrospective analysis of 406 estrogen receptor‐positive breast cancer (BC) patients receiving adjuvant tamoxifen as initial treatment, we have associated our previously reported thresholds for the two active metabolites, Z‐endoxifen and Z‐4‐hydroxy‐tamoxifen (Z‐4OHtam), with treatment outcomes in an independent cohort of BC patients. Among all patients, metabolite levels did not affect survival. However, in the premenopausal subgroup receiving tamoxifen alone (n = 191) we confirmed an inferior BC ‐specific survival in patients with the previously described serum concentration threshold of Z‐4OHtam ≤ 3.26 nm (HR = 2.37, 95% CI = 1.02–5.48, P = 0.039). The ‘dose–response’ survival trend in patients categorized to ordinal concentration cut‐points of Z‐4OHtamoxifen (≤ 3.26, 3.27–8.13, > 8.13 nm) was also replicated (P‐trend log‐rank = 0.048). Z‐endoxifen was not associated with outcome. This is the first study to confirm the association between a published active tamoxifen metabolite threshold and BC outcome in an independent patient cohort. Premenopausal patients receiving 5‐year of tamoxifen alone may benefit from therapeutic drug monitoring to ensure tamoxifen effectiveness.
Abbreviations
- BC
- breast cancer
- BCSS
- breast cancer‐specific survival
- 95% CI
- 95% confidence interval
- ER
- estrogen receptor
- HER2
- human epidermal growth factor receptor‐2
- LC‐MS/MS
- liquid chromatography‐mass spectrometry/ mass spectrometry
- pN
- pathological nodal status
- pT
- pathological tumor size
- TDM
- therapeutic drug monitoring
- Z‐4OHtam
- Z‐4‐hydroxy‐tamoxifen
19.
In recent years, extracellular vesicles (EVs) emerged as potential diagnostic and prognostic markers for cancer therapy. While the field of EV research is rapidly developing and their application as vehicles for therapeutic cargo is being tested, little is still known about the exact mechanisms of signaling specificity and cargo transfer by EVs, especially in vivo. Several signaling cascades have been found to use EVs for signaling in the tumor–stroma interaction. These include potentially oncogenic, verbatim transforming, signaling cascades such as Wnt and TGF‐β signaling, and other signaling cascades that have been tightly associated with tumor progression and metastasis, such as PD‐L1 and VEGF signaling. Multiple mechanisms of how these signaling cascades and EVs interplay to mediate these complex processes have been described, such as direct signal activation through pathway components on or in EVs or indirectly by influencing vesicle biogenesis, cargo sorting, or uptake dynamics. In this review, we summarize the current knowledge of EVs, their biogenesis, and our understanding of EV interactions with recipient cells with a focus on selected oncogenic and cancer‐associated signaling pathways. After an in‐depth look at how EVs mediate and influence signaling, we discuss potentially translatable EV functions and existing knowledge gaps.
Abbreviations
- EGF(R)
- epidermal growth factor (receptor)
- EMT
- epithelial–mesenchymal transition
- EP(s)
- extracellular particle(s)
- EV(s)
- extracellular vesicle(s)
- Exo(s)
- exosome(s)
- Her
- human epidermal growth factor receptor
- ISEV
- International Society for Extracellular Vesicles
- MSC
- mesenchymal stem cells
- MV(s)
- microvesicle(s)
- MVB
- multivesicular body
- PD‐L
- programmed death‐ligand
- TGF‐β
- transforming growth factor‐β
- VEGF
- vascular endothelial growth factor
- Wnt
- wingless and Int/wingless‐related integration site
20.
Jeremy ArieyBonnet Kendall Carrasco Marion Le Grand Laurent Hoffer Stphane Betzi Mikael Feracci Philipp Tsvetkov Francois Devred Yves Collette Xavier Morelli Pedro Ballester Eddy Pasquier 《Molecular oncology》2020,14(12):3083
The concept of polypharmacology involves the interaction of drug molecules with multiple molecular targets. It provides a unique opportunity for the repurposing of already‐approved drugs to target key factors involved in human diseases. Herein, we used an in silico target prediction algorithm to investigate the mechanism of action of mebendazole, an antihelminthic drug, currently repurposed in the treatment of brain tumors. First, we confirmed that mebendazole decreased the viability of glioblastoma cells in vitro (IC50 values ranging from 288 nm to 2.1 µm). Our in silico approach unveiled 21 putative molecular targets for mebendazole, including 12 proteins significantly upregulated at the gene level in glioblastoma as compared to normal brain tissue (fold change > 1.5; P < 0.0001). Validation experiments were performed on three major kinases involved in cancer biology: ABL1, MAPK1/ERK2, and MAPK14/p38α. Mebendazole could inhibit the activity of these kinases in vitro in a dose‐dependent manner, with a high potency against MAPK14 (IC50 = 104 ± 46 nm). Its direct binding to MAPK14 was further validated in vitro, and inhibition of MAPK14 kinase activity was confirmed in live glioblastoma cells. Consistent with biophysical data, molecular modeling suggested that mebendazole was able to bind to the catalytic site of MAPK14. Finally, gene silencing demonstrated that MAPK14 is involved in glioblastoma tumor spheroid growth and response to mebendazole treatment. This study thus highlighted the role of MAPK14 in the anticancer mechanism of action of mebendazole and provides further rationale for the pharmacological targeting of MAPK14 in brain tumors. It also opens new avenues for the development of novel MAPK14/p38α inhibitors to treat human diseases.
Abbreviations
- BRET
- bioluminescence resonance energy transfer
- GBM
- glioblastoma
- GTeX
- Genotype‐Tissue Expression
- IC50
- half‐maximal inhibitory concentration
- ITC
- isothermal titration calorimetry
- MBZ
- mebendazole
- nanoDSF
- nanoscale differential scanning fluorimetry
- qRT‐PCR
- quantitative real‐time polymerase chain reaction
- RT
- room temperature
- siRNA
- small interfering RNA
- TCGA
- The Cancer Genome Atlas
- TSA
- thermal shift assay