Replication Data for "Co-administration of H-ferritin-doxorubicin and Trastuzumab in neoadjuvant setting improves efficacy and prevents cardiotoxicity in HER2 + murine breast cancer model" (doi:10.13130/RD_UNIMI/I4YV97)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for "Co-administration of H-ferritin-doxorubicin and Trastuzumab in neoadjuvant setting improves efficacy and prevents cardiotoxicity in HER2 + murine breast cancer model"

Identification Number:

doi:10.13130/RD_UNIMI/I4YV97

Distributor:

UNIMI Dataverse

Date of Distribution:

2021-01-22

Version:

1

Bibliographic Citation:

Mazzucchelli, Serena, 2021, "Replication Data for "Co-administration of H-ferritin-doxorubicin and Trastuzumab in neoadjuvant setting improves efficacy and prevents cardiotoxicity in HER2 + murine breast cancer model"", https://doi.org/10.13130/RD_UNIMI/I4YV97, UNIMI Dataverse, V1, UNF:6:xfaXC5orDOjsTMNER2uGAQ== [fileUNF]

Study Description

Citation

Title:

Replication Data for "Co-administration of H-ferritin-doxorubicin and Trastuzumab in neoadjuvant setting improves efficacy and prevents cardiotoxicity in HER2 + murine breast cancer model"

Identification Number:

doi:10.13130/RD_UNIMI/I4YV97

Authoring Entity:

Mazzucchelli, Serena (University of Milan)

Distributor:

UNIMI Dataverse

Access Authority:

Mazzucchelli, Serena

Depositor:

Mazzucchelli, Serena

Date of Deposit:

2020-02-27

Holdings Information:

https://doi.org/10.13130/RD_UNIMI/I4YV97

Study Scope

Keywords:

Medicine, Health and Life Sciences, Nanomedicine

Abstract:

This datatset contains raw data obtained in HFnDOX+tZ project and published in Andreata et al. Sci.reports 2020

Methodology and Processing

Sources Statement

Data Access

Notes:

Credit must be given to the creator of the dataset. Only noncommercial uses of the data are permitted.

Credit must be given to the creator of the dataset. Only noncommercial uses of the data are permitted.

Other Study Description Materials

Related Publications

Citation

Identification Number:

https://doi.org/10.1038/s41598-020-68205-w

Bibliographic Citation:

Andreata, F., Bonizzi, A., Sevieri, M. et al. Co-administration of H-ferritin-doxorubicin and Trastuzumab in neoadjuvant setting improves efficacy and prevents cardiotoxicity in HER2 + murine breast cancer model. Sci Rep 10, 11425 (2020).

File Description--f4922

File: Dataverse_ Sci_rep_2020_alpha SMA.tab

  • Number of cases: 4

  • No. of variables per record: 7

  • Type of File: text/tab-separated-values

Notes:

UNF:6:BuXmM8Q0f7ICNZjXIKIacg==

File Description--f4911

File: Dataverse_ Sci_rep_2020_CD31.tab

  • Number of cases: 81

  • No. of variables per record: 13

  • Type of File: text/tab-separated-values

Notes:

UNF:6:ddtekNq074LHEZN3ul5leg==

File Description--f4912

File: Dataverse_ Sci_rep_2020_Granzyme quantification.tab

  • Number of cases: 81

  • No. of variables per record: 14

  • Type of File: text/tab-separated-values

Notes:

UNF:6:LDh4VsXU8ptRv/ywDTgcig==

File Description--f4905

File: Dataverse_ Sci_rep_2020_mitochondria area.tab

  • Number of cases: 338

  • No. of variables per record: 8

  • Type of File: text/tab-separated-values

Notes:

UNF:6:OLdgazkM7mFJ0UyL+8T2ww==

File Description--f4908

File: Dataverse_ Sci_rep_2020_mitochondria cristae area.tab

  • Number of cases: 365

  • No. of variables per record: 7

  • Type of File: text/tab-separated-values

Notes:

UNF:6:jj+DNih8QKGa4JpNKLKAKA==

File Description--f4906

File: Dataverse_ Sci_rep_2020_mitochondria number.tab

  • Number of cases: 30

  • No. of variables per record: 7

  • Type of File: text/tab-separated-values

Notes:

UNF:6:2ORjaL86Xusak3R2DQnWRg==

File Description--f4920

File: Dataverse_ Sci_rep_2020_TILs.tab

  • Number of cases: 11

  • No. of variables per record: 24

  • Type of File: text/tab-separated-values

Notes:

UNF:6:1iAP2zm7Km+gmutbiNmYUw==

File Description--f4917

File: Dataverse_ Sci_rep_2020_Toxicity assays.tab

  • Number of cases: 38

  • No. of variables per record: 20

  • Type of File: text/tab-separated-values

Notes:

UNF:6:iXZxt5TLrQ3rhpcyMrFk7A==

File Description--f4913

File: Dataverse_ Sci_rep_2020_Tumor growth.tab

  • Number of cases: 81

  • No. of variables per record: 14

  • Type of File: text/tab-separated-values

Notes:

UNF:6:+VkR7tzCczAGe1twZVoVKg==

File Description--f4907

File: Dataverse_ Sci_rep_2020_Tumor size day 24.tab

  • Number of cases: 16

  • No. of variables per record: 7

  • Type of File: text/tab-separated-values

Notes:

UNF:6:7QJkU2sr2U5AMB3Pl+pJ6A==

File Description--f4909

File: Dataverse_ Sci_rep_2020_Tunel assay.tab

  • Number of cases: 81

  • No. of variables per record: 7

  • Type of File: text/tab-separated-values

Notes:

UNF:6:3BDULdnwZtYVFbGZXQG7Hw==

File Description--f4921

File: Dataverse_ Sci_rep_2020_TZ penetration.tab

  • Number of cases: 4975

  • No. of variables per record: 25

  • Type of File: text/tab-separated-values

Notes:

UNF:6:r5N9H5tYRn8eRq+6SJV2Yg==

File Description--f4910

File: Dataverse_ Sci_rep_2020_TZ quantification.tab

  • Number of cases: 81

  • No. of variables per record: 13

  • Type of File: text/tab-separated-values

Notes:

UNF:6:4v7kmCBYAzg6tyVzL5eIyg==

Other Study-Related Materials

Label:

Dataverse_ Sci_rep_2020_DOX and DOXol quantification.xls

Text:

Figure S2

Notes:

application/vnd.ms-excel