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Correction Open Access

[Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma

  • Authors:
    • Hideharu Yamada
    • Masanobu Takahashi
    • Munenori Watanuki
    • Mika Watanabe
    • Sakura Hiraide
    • Ken Saijo
    • Keigo Komine
    • Chikashi Ishioka
  • View Affiliations / Copyright

    Affiliations: Department of Clinical Oncology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980‑8575, Japan, Department of Clinical Oncology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi 980‑8575, Japan, Department of Orthopaedic Surgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980‑8575, Japan, Department of Pathology, Tohoku University Hospital, Sendai, Miyagi 980‑8574, Japan
    Copyright: © Yamada et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].
  • Article Number: 698
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    Published online on: August 2, 2021
       https://doi.org/10.3892/ol.2021.12959
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Article

Oncol Lett 21: Article no. [Related article:] 455, 2021; DOI: 10.3892/ol.2021.12716

Subsequently to the publication of the above paper, the authors realized that the layouts of Tables I and III had been presented incorrectly, and that they had overlooking acknowledging researchers who had provided them with the cell lines in the Acknowledgements section of the paper.

Table I.

Summary of patient/tumor characteristics and treatment outcomes for 23 patients/tumors analyzed via microarray analyses.

Table I.

Summary of patient/tumor characteristics and treatment outcomes for 23 patients/tumors analyzed via microarray analyses.

FactorsTotal, n (%) (n=23)Responder, n (%) (n=13)Non-Responder, n (%) (n=10)
Sex
  Male14 (61)7 (54)7 (70)
  Female  9 (39)6 (46)3 (30)
Age (years)
  Median656562
  Range20-7620-7631-76
ECOG Performance Status
  09 (39)7 (54)2 (20)
  113 (57)5 (38)8 (80)
  21 (4)1 (8)0 (0)
  >20 (0)0 (0)0 (0)
Treatment line
  1st line1 (4)1 (8)0 (0)
  2nd line12 (52)7 (54)5 (50)
  3rd line7 (30)3 (23)4 (40)
  4th line3 (13)2 (15)1 (10)
Pathology
  Myxoid LPS5 (22)2 (15)3 (30)
  LMS3 (13)2 (15)1 (10)
  UPS3 (13)2 (15)1 (10)
  SFT2 (9)1 (8)1 (10)
  OS2 (9)1 (8)1 (10)
  ASPS2 (9)2 (15)0 (0)
  US1 (4)1 (8)0 (0)
  AS1 (4)1 (8)0 (0)
  ES1 (4)1 (8)0 (0)
  ESFT2 (9)0 (0)2 (20)
  CCS1 (4)0 (0)1 (10)
Primary site
  Extremity12 (52)8 (62)4 (40)
  Trunk2 (9)1 (8)1 (10)
  Retroperitoneum1 (4)1 (8)0 (0)
  Thoracic cavity1 (4)1 (8)0 (0)
  Liver1 (4)1 (8)0 (0)
  Pancreas1 (4)1 (8)0 (0)
  Abdominal cavity1 (4)0 (0)1 (10)
  Oral1 (4)0 (0)1 (10)
  Pelvis1 (4)0 (0)1 (10)
  Sternum1 (4)0 (0)1 (10)
  Eye1 (4)0 (0)1 (10)

[i] ECOG, Eastern Cooperative Oncology Group; LPS, liposarcoma; LMS, leiomyosarcoma; UPS, undifferentiated pleomorphic sarcoma; SFT, solitary fibrous tumor; OS, osteosarcoma; ASPS, alveolar soft part sarcoma; US, undifferentiated sarcoma; AS, Angiosarcoma; ES, epithelioid sarcoma; ESFT, Ewing sarcoma family tumor; CCS, clear cell sarcoma.

Table III.

Functional clusters identified by functional annotation clustering.

Table III.

Functional clusters identified by functional annotation clustering.

A, Cluster number 1, 6 annotation terms included, enrichment score of 2.93

Top 5 categorized annotation term of each clusteraP-valuebSource databasecAccession no.
VWC_out<0.01SMARTSM00215
VWFC domain<0.01InterProIPR001007
domain:VWFC 1<0.01UniProtNone
domain:VWFC 2<0.01UniProtNone
VWC<0.01SMARTSM00214

B, Cluster number 2, 18 annotation terms included, enrichment score of 2.11

Top 5 categorized annotation term of each clustera P-valuebSource databasecAccession no.

Cell membrane<0.01UniProtKW-1003
Signal peptide<0.01UniProtNone
Signal<0.01UniProtKW-0732
Glycoprotein<0.01UniProtKW-0325
Disulfide bond<0.01UniProtNone

C, Cluster number 3, 19 annotation terms included, enrichment score of 1.89

Top 5 categorized annotation term of each clustera P-valuebSource databasecAccession no.

EGF-like, conserved site<0.01InterProIPR013032
EGF-like calcium-binding domain<0.01InterProIPR001881
EGF-like domain<0.01InterProIPR000742
EGF_CA<0.01SMARTSM00179
domain:EGF-like 4<0.01UniProtNone

D, Cluster number 4, 27 annotation terms included, enrichment score of 1.56

Top 5 categorized annotation term of each clustera P-valuebSource databasecAccession no.

VWC_out<0.01SMARTSM00215
VWFC domain<0.01InterProIPR001007
domain:TIL<0.01UniProtNone
domain:VWFD 3<0.01UniProtNone
domain:VWFD 2<0.01UniProtNone

E, Cluster number 5, 17 annotation terms included, enrichment score of 1.50

Top 5 categorized annotation term of each clustera P-valuebSource databasecAccession no.

Signaling receptor activity<0.01Gene OntologyGO:0038023
Molecular transducer activity<0.01Gene OntologyGO:0060089
Glycoprotein<0.01UniProtKW-0325
topological domain: Extracellular<0.01UniProtNone
Intrinsic component of plasma membrane<0.01Gene OntologyGO:0031226

F, Cluster number 6, 23 annotation terms included, enrichment score of 1.40

Top 5 categorized annotation term of each clustera P-valuebSource databasecAccession no.

Neurogenesis<0.01Gene OntologyGO:0022008
Neuron differentiation<0.01Gene OntologyGO:0030182
Generation of neurons<0.01Gene OntologyGO:0048699
Cell projection organization<0.01Gene OntologyGO:0030030
Axon development  0.02Gene OntologyGO:0061564

G, Cluster number 7, 12 annotation terms included, enrichment score of 1.33

Top 5 categorized annotation term of each clustera P-valuebSource databasecAccession no.

Inositol phosphate metabolic process<0.01Gene OntologyGO:0043647
Polyol metabolic process<0.01Gene OntologyGO:0019751
Alcohol metabolic process<0.01Gene OntologyGO:0006066
Organic hydroxy compound metabolic process   0.01Gene OntologyGO:1901615
Carbohydrate metabolic process   0.04Gene OntologyGO:0005975

{ label (or @symbol) needed for fn[@id='tfn2-ol-0-0-12959'] } Seven functional annotation clusters with an enrichment score >1.3 are listed.

a Among each cluster, 5 annotation terms are listed from lower enrichment P-values with its accession no. and source database referred from DAVID (https://david.ncicrf.gov).

b A modified Fisher Exact P-value was generated from gene enrichment analysis.

c Each database is available at the following URLs: SMART, http://smart.embl-heidelberg.de; InterPro, https://www.ebi.ac.uk/interpro; UniProt, https://www.uniprot.org; Gene Ontology, http://geneontology.org. vWF, von Willebrand factor; VWC, von Willebrand factor type C domain; VWFC, von Willebrand factor type C; EGF, epidermal growth factor; EGF_CA, Calcium-binding EGF-like domain; VWFD, von Willebrand factor type D.

Consequently, the correctly organized versions of Tables I and 3 are shown on the subsequent pages. Concerning the oversight with the Acknowledgements section, this section of the declarations should be changed to the following (added text is highlighted in bold):

Acknowledgements

The authors would like to thank Ms Hiromi Nakano, Ms Noriko Takenaga and Ms Nobuko Saeki (Institute of Development, Aging and Cancer, Tohoku University) for their technical assistance. The authors would also like to sincerely thank Dr Mikio Masuzawa (School of Allied Health Science, Kitasato University), Dr Lan Kluwe (Laboratory for Tumor Genetics, University Medical Center Hamburg-Eppendorf), Dr Michiyuki Hakozaki (Department of Orthopaedic Surgery, Fukushima Medical University School of Medicine), Dr Mikiko Aoki and Dr Kazuki Nabeshima (Department of Pathology, Fukuoka University School of Medicine) for providing the cell lines.

Note that the above errors did not affect the results or conclusions reported in this paper, and all the authors agree with this corrigendum. The authors thank the editor of Oncology Letters for presenting them with the opportunity of publishing this Corrigendum and apologize to the readership of the journal for any inconvenience caused.

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Copy and paste a formatted citation
Spandidos Publications style
Yamada H, Takahashi M, Watanuki M, Watanabe M, Hiraide S, Saijo K, Komine K and Ishioka C: [Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma. Oncol Lett 22: 698, 2021.
APA
Yamada, H., Takahashi, M., Watanuki, M., Watanabe, M., Hiraide, S., Saijo, K. ... Ishioka, C. (2021). [Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma. Oncology Letters, 22, 698. https://doi.org/10.3892/ol.2021.12959
MLA
Yamada, H., Takahashi, M., Watanuki, M., Watanabe, M., Hiraide, S., Saijo, K., Komine, K., Ishioka, C."[Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma". Oncology Letters 22.4 (2021): 698.
Chicago
Yamada, H., Takahashi, M., Watanuki, M., Watanabe, M., Hiraide, S., Saijo, K., Komine, K., Ishioka, C."[Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma". Oncology Letters 22, no. 4 (2021): 698. https://doi.org/10.3892/ol.2021.12959
Copy and paste a formatted citation
x
Spandidos Publications style
Yamada H, Takahashi M, Watanuki M, Watanabe M, Hiraide S, Saijo K, Komine K and Ishioka C: [Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma. Oncol Lett 22: 698, 2021.
APA
Yamada, H., Takahashi, M., Watanuki, M., Watanabe, M., Hiraide, S., Saijo, K. ... Ishioka, C. (2021). [Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma. Oncology Letters, 22, 698. https://doi.org/10.3892/ol.2021.12959
MLA
Yamada, H., Takahashi, M., Watanuki, M., Watanabe, M., Hiraide, S., Saijo, K., Komine, K., Ishioka, C."[Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma". Oncology Letters 22.4 (2021): 698.
Chicago
Yamada, H., Takahashi, M., Watanuki, M., Watanabe, M., Hiraide, S., Saijo, K., Komine, K., Ishioka, C."[Corrigendum] lncRNA HAR1B has potential to be a predictive marker for pazopanib therapy in patients with sarcoma". Oncology Letters 22, no. 4 (2021): 698. https://doi.org/10.3892/ol.2021.12959
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