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Hu J, Xia B, Yuan X, Chen H, Ou F, Huang L, Xu L, Feng X. Neuroblastoma with superficial soft tissue mass as the first symptom: case reports with atypical ultrasonic image and literature review. Braz J Med Biol Res 2023; 56:e12975. [PMID: 38088674 PMCID: PMC10712279 DOI: 10.1590/1414-431x2023e12975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 11/07/2023] [Indexed: 12/18/2023] Open
Abstract
Neuroblastoma is one of the most common tumors in children. Cases where an isolated soft-tissue metastasis mass is the initial symptom are rare, with only four such cases reported to date. We describe the imaging findings of ten cases of neuroblastoma patients in our hospital with superficial soft tissue mass (SSTM) as the primary symptom. The main ultrasound finding of SSTM was hypoechoic masses or scattered speck-like hyperechoic masses. However, when this type of SSTM is caused by soft tissue metastasis, the location is often atypical, and ultrasound findings are difficult to distinguish from other benign diseases. Therefore, this research should remind clinicians to recognize atypical presentations of this common childhood malignant tumor. Radiologists should also consider the possibility of neuroblastoma when finding this type of SSTM with atypical ultrasound features.
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Affiliation(s)
- Jiale Hu
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
- China Medical University, Shenyang, Liaoning, China
| | - Bei Xia
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Xiuli Yuan
- China Medical University, Shenyang, Liaoning, China
- Department of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Haixing Chen
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Fuxiang Ou
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Longlong Huang
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - Lei Xu
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
- China Medical University, Shenyang, Liaoning, China
| | - Xia Feng
- Department of Ultrasound, Shenzhen Children's Hospital, Shenzhen, Guangdong, China
- China Medical University, Shenyang, Liaoning, China
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Wang L, Dehm SM, Hillman DW, Sicotte H, Tan W, Gormley M, Bhargava V, Jimenez R, Xie F, Yin P, Qin S, Quevedo F, Costello BA, Pitot HC, Ho T, Bryce AH, Ye Z, Li Y, Eiken P, Vedell PT, Barman P, McMenomy BP, Atwell TD, Carlson RE, Ellingson M, Eckloff BW, Qin R, Ou F, Hart SN, Huang H, Jen J, Wieben ED, Kalari KR, Weinshilboum RM, Wang L, Kohli M. A prospective genome-wide study of prostate cancer metastases reveals association of wnt pathway activation and increased cell cycle proliferation with primary resistance to abiraterone acetate-prednisone. Ann Oncol 2019; 29:352-360. [PMID: 29069303 DOI: 10.1093/annonc/mdx689] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Background Genomic aberrations have been identified in metastatic castration-resistant prostate cancer (mCRPC), but molecular predictors of resistance to abiraterone acetate/prednisone (AA/P) treatment are not known. Patients and methods In a prospective clinical trial, mCRPC patients underwent whole-exome sequencing (n = 82) and RNA sequencing (n = 75) of metastatic biopsies before initiating AA/P with the objective of identifying genomic alterations associated with resistance to AA/P. Primary resistance was determined at 12 weeks of treatment using criteria for progression that included serum prostate-specific antigen measurement, bone and computerized tomography imaging and symptom assessments. Acquired resistance was determined using the end point of time to treatment change (TTTC), defined as time from enrollment until change in treatment from progressive disease. Associations of genomic and transcriptomic alterations with primary resistance were determined using logistic regression, Fisher's exact test, single and multivariate analyses. Cox regression models were utilized for determining association of genomic and transcriptomic alterations with TTTC. Results At 12 weeks, 32 patients in the cohort had progressed (nonresponders). Median study follow-up was 32.1 months by which time 58 patients had switched treatments due to progression. Median TTTC was 10.1 months (interquartile range: 4.4-24.1). Genes in the Wnt/β-catenin pathway were more frequently mutated and negative regulators of Wnt/β-catenin signaling were more frequently deleted or displayed reduced mRNA expression in nonresponders. Additionally, mRNA expression of cell cycle regulatory genes was increased in nonresponders. In multivariate models, increased cell cycle proliferation scores (≥ 50) were associated with shorter TTTC (hazard ratio = 2.11, 95% confidence interval: 1.17-3.80; P = 0.01). Conclusions Wnt/β-catenin pathway activation and increased cell cycle progression scores can serve as molecular markers for predicting resistance to AA/P therapy.
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Affiliation(s)
- L Wang
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA; Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, USA
| | - S M Dehm
- Masonic Cancer Center, University of Minnesota, Minneapolis, USA; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, USA; Department of Urology, University of Minnesota, Minneapolis, USA
| | - D W Hillman
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - H Sicotte
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - W Tan
- Department of Medicine, Mayo Clinic, Jacksonville, USA
| | - M Gormley
- Janssen Research and Development, Spring House, Philadelphia, USA
| | - V Bhargava
- Janssen Research and Development, Spring House, Philadelphia, USA
| | - R Jimenez
- Department of Pathology and Lab Medicine, Mayo Clinic, Rochester, USA
| | - F Xie
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, USA
| | - P Yin
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, USA
| | - S Qin
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, USA
| | - F Quevedo
- Department of Oncology, Mayo Clinic, Rochester, USA
| | - B A Costello
- Department of Oncology, Mayo Clinic, Rochester, USA
| | - H C Pitot
- Department of Oncology, Mayo Clinic, Rochester, USA
| | - T Ho
- Department of Medicine, Mayo Clinic, Scottsdale, USA
| | - A H Bryce
- Department of Medicine, Mayo Clinic, Scottsdale, USA
| | - Z Ye
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, USA
| | - Y Li
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - P Eiken
- Department of Radiology, Mayo Clinic, Rochester, USA
| | - P T Vedell
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - P Barman
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - B P McMenomy
- Department of Radiology, Mayo Clinic, Rochester, USA
| | - T D Atwell
- Department of Radiology, Mayo Clinic, Rochester, USA
| | - R E Carlson
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - M Ellingson
- Medical Genetics, Mayo Clinic, Rochester, USA
| | - B W Eckloff
- Medical Genome Facility, Mayo Clinic, Rochester, USA
| | - R Qin
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - F Ou
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - S N Hart
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - H Huang
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, USA
| | - J Jen
- Medical Genome Facility, Mayo Clinic, Rochester, USA; Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, USA; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, USA
| | - E D Wieben
- Medical Genome Facility, Mayo Clinic, Rochester, USA
| | - K R Kalari
- Division of Biomedical Statistics and Informatics, Department of Health Sciences, Rochester, USA
| | - R M Weinshilboum
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, USA
| | - L Wang
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, USA.
| | - M Kohli
- Department of Oncology, Mayo Clinic, Rochester, USA.
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Fornecker L, Ou F, Dixon J, Casulo C, Hoster E, Hiddemann W, Sebban C, Morschhauser F, Marcus R, Hochster H, Rummel M, Hagenbeeck A, Kimby E, Herold M, Peterson B, Gyan E, Ladetto M, Zucca E, Nielsen T, Foon K, Vitolo U, Flowers C, Shi Q, Salles G. CLINICAL CHARACTERISTICS AND TREATMENT OUTCOMES FOR YOUNG PATIENTS WITH FIRST-LINE FOLLICULAR LYMPHOMA: A POOLED ANALYSIS OF 4249 PATIENTS FROM THE FLASH DATABASE. Hematol Oncol 2017. [DOI: 10.1002/hon.2438_89] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- L. Fornecker
- Department of Hematology; University Hospital of Strasbourg; Strasbourg France
| | - F. Ou
- Division of Biomedical Statistics and Informatics, Mayo Clinic; Rochester USA
| | - J.G. Dixon
- Division of Biomedical Statistics and Informatics, Mayo Clinic; Rochester USA
| | - C. Casulo
- School of Medicine and Dentistry; University of Rochester Medical Center; Rochester USA
| | - E. Hoster
- Department of Internal Medicine III; Ludwig-Maximilians University Hospital, Campus Großhadern; Munich Germany
| | - W. Hiddemann
- Department of Internal Medicine III; Ludwig-Maximilians University Hospital, Campus Großhadern; Munich Germany
| | - C. Sebban
- Onco-Hematology, Centre Leon Berard; University Claude Bernard Lyon 1; Lyon France
| | - F. Morschhauser
- Department of Clinical Hematology; Centre Hospitalier Universitaire, Université de Lille; Lille France
| | - R. Marcus
- Department of Haematology; Addenbrookes Hospital; Cambridge UK
| | - H. Hochster
- Yale Cancer Center; Department of Medicine; New Haven USA
| | - M. Rummel
- Medizinische Klinik IV; University Hospital; Gießen Germany
| | - A. Hagenbeeck
- Department of Hematology; Academic Medical Center; Amsterdam The Netherlands
| | - E. Kimby
- Hematology Centre at Karolinska University Hospital; Karolinska Institutet; Stockholm Sweden
| | - M. Herold
- Department of Hematology and Oncology, HELIOS Klinikum; Erfurt Germany
| | - B.A. Peterson
- Division of Hematology, Oncology and Transplantation; University of Minnesota; Minneapolis USA
| | - E. Gyan
- Department of Hematology and Cell Therapy; University Hospital; Tours France
| | - M. Ladetto
- Department of Hematology, Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo; Alessandria Italy
| | - E. Zucca
- Department of Hematology, Oncology Institute of Southern Switzerland (IOSI); Bellinzona Switzerland
| | - T. Nielsen
- Department of Medical Affairs; F. Hoffmann-La Roche Ltd; Basel Switzerland
| | - K. Foon
- Department of Medical Affairs, Celgene Corporation; Summit USA
| | - U. Vitolo
- Department of Hematology; Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino; Torino Italy
| | - C.R. Flowers
- Department of Bone Marrow and Stem Cell Transplantation; Winship Cancer Institute of Emory University; Atlanta USA
| | - Q. Shi
- Division of Biomedical Statistics and Informatics, Mayo Clinic; Rochester USA
| | - G. Salles
- Department of Hematology; Centre Hospitalier Lyon-Sud; Pierre-Benite France
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Essig S, Marquardt CW, Vijayaraghavan A, Ganzhorn M, Dehm S, Hennrich F, Ou F, Green AA, Sciascia C, Bonaccorso F, Bohnen KP, Löhneysen HV, Kappes MM, Ajayan PM, Hersam MC, Ferrari AC, Krupke R. Phonon-assisted electroluminescence from metallic carbon nanotubes and graphene. Nano Lett 2010; 10:1589-1594. [PMID: 20405819 DOI: 10.1021/nl9039795] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
We report on light emission from biased metallic single-wall carbon nanotube (SWNT), multiwall carbon nanotube (MWNT) and few-layer graphene (FLG) devices. SWNT devices were assembled from tubes with different diameters in the range 0.7-1.5 nm. They emit light in the visible spectrum with peaks at 1.4 and 1.8 eV. Similar peaks are observed for MWNT and FLG devices. We propose that this light emission is due to phonon-assisted radiative decay from populated pi* band states at the M point to the Fermi level at the K point. Since for most carbon nanotubes as well as for graphene the energy of unoccupied states at the M point is close to 1.6 eV, the observation of two emission peaks at approximately 1.6 +/- approximately 0.2 eV could indicate radiative decay under emission or absorption of optical phonons, respectively.
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Affiliation(s)
- S Essig
- Institut für Nanotechnologie, Karlsruhe Institute of Technology, Karlsruhe, Germany
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