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Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma

<p>Data supporting the findings of the paper &quot;<a href="https://doi.org/10.1038/s41698-022-00253-z">Single-cell spatial architectures associated with clinical outcome in head and neck squamous cell carcinoma</a>.&quot; Files include output of multiplex immunohistochemistry computational&nbsp;image processing workflow for each tumor region&nbsp;and survival data for each patient. The code used to produce the results of this study is available at: <a href="https://github.com/kblise/HNSCC_mIHC_paper">https://github.com/kblise/HNSCC_mIHC_paper</a>.</p> <p>Notes about data files:</p> <ul> <li>clinicalData.csv = Contains the following columns for each tumor region: <ul> <li>sample = tumor region ID</li> <li>dtr = Progression free survival (days to recurrence)</li> <li>tnm = TNM stage</li> <li>anatomy = anatomic site of resection</li> <li>tx = therapy administered</li> <li>area = area in mm<sup>2</sup>&nbsp;of tissue region</li> </ul> </li> <li>pt .csv files&nbsp;= Matrix of single cells (rows) and marker expression&nbsp;(columns). One file per tumor region (n=47).&nbsp;Other columns include: <ul> <li>class = Cell phenotype assigned via hierarchical gating strategy (see below for classes)</li> <li>Location_Center_X&nbsp;and Location_Center_Y&nbsp;= Cartesian coordinates of cell center</li> <li>Cellsp_PD1p = PD-1 expression; 1 = PD-1<sup>+</sup>, 0 = PD-1<sup>-</sup></li> <li>Cellsp_PDL1p = PD-L1 expression; 1 = PD-L1<sup>+</sup>, 0 = PD-L1<sup>-</sup></li> <li>Cellsp_KI67p = Ki-67 expression; 1 = Ki-67<sup>+</sup>, 0 = Ki-67<sup>-</sup></li> </ul> </li> </ul> <p>Classes, corresponding cell phenotype, and gating strategy used:</p> <ul> <li>A = CD8<sup>+</sup> T Cell (CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>+</sup>&nbsp;CD8<sup>+</sup>)</li> <li>B = CD4<sup>+</sup> T Helper&nbsp;(CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>+</sup>&nbsp;CD8<sup>-</sup>&nbsp;FOXP3<sup>-</sup>)</li> <li>C = B Cell (CD45<sup>+</sup>&nbsp;CD20<sup>+</sup>)</li> <li>D = Macrophage&nbsp;(CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>-</sup>&nbsp;CD66B<sup>-</sup>&nbsp;CD68<sup>+</sup>)</li> <li>E = Other Immune (CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>-</sup>&nbsp;CD66B<sup>-</sup>&nbsp;CD68<sup>-</sup>&nbsp;MHCII<sup>-&nbsp;</sup>CD8<sup>-</sup>&nbsp;FOXP3<sup>-</sup>)</li> <li>F = Other Non-Immune (CD45<sup>-</sup>&nbsp;PANCK<sup>-&nbsp;</sup>&alpha;SMA<sup>-</sup>) - excluded from analysis</li> <li>G = Noise - excluded from analysis</li> <li>H = Neoplastic Tumor&nbsp;(CD45<sup>-</sup>&nbsp;PANCK<sup>+</sup>)</li> <li>J = Granulocyte (CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>-</sup>&nbsp;CD66B<sup>+</sup>)</li> <li>K = CD4<sup>+</sup> Regulatory T Cell&nbsp;(CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>+</sup>&nbsp;CD8<sup>-</sup>&nbsp;FOXP3<sup>+</sup>)</li> <li>N =&nbsp;&alpha;SMA<sup>+</sup> Mesenchymal&nbsp;(CD45<sup>-</sup>&nbsp;PANCK<sup>-&nbsp;</sup>&alpha;SMA<sup>+</sup>)</li> <li>X = Antigen Presenting Cell&nbsp;(CD45<sup>+</sup>&nbsp;CD20<sup>-</sup>&nbsp;CD3<sup>-</sup>&nbsp;CD66B<sup>-</sup>&nbsp;CD68<sup>-</sup>&nbsp;MHCII<sup>+</sup>)</li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

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