| Autor: |
Gilles Salles, Randy D. Gascoyne, Christian Steidl, Laurie H. Sehn, Joseph M. Connors, Corinne Haioun, Andrew I. Minchinton, Graham W. Slack, Bettina Fabiani, Ashley D. Sanders, David W. Scott, Alastair H. Kyle, Elizabeth A. Chavez, Pauline Brice, Alden A. Moccia, Sami Boussetta, Pedro Farinha, Danielle Canioni, Ayesha Vawda, Pierre Feugier, King Tan, Bénédicte Gelas-Dore, Luc Xerri, Robert Kridel |
| Rok vydání: |
2023 |
| DOI: |
10.1158/1078-0432.22454513.v1 |
| Popis: |
Supplemental Figures 1-8. Suppl. Fig 1. Consort flow diagram. Shown are patient numbers throughout the study. The BCCA TMA was built as duplicate 1.5mm cores whereas the PRIMA TMA was built as triplicate 1.0mm cores. Strict QC criteria were applied to each sample to increase accuracy of point estimates for macrophage infiltration. We required each sample to be represented by more than 1 core, to be unequivocally attributable to a patient and the relative standard error to be less than 33.33%. Suppl. Fig 2. Correlation between Aperio and manual scoring in the BCCA cohort for CD68 (left) and CD163 (right). Suppl. Fig 3. Representative microscopy images in low power magnification. (A) Immunohistochemistry using anti-human CD68 (clone KP1) and anti-human CD163 (clone 10D6) for case FL124 (average number of macrophages). (B) Similar images for case FL136 (elevated number of macrophages). Suppl. Fig 4. (A) Distribution of CD68 and CD163 scores in the BCCA and PRIMA cohorts. (B) Double immunofluorescence on formalin-fixed and paraffin-embedded tissue using antibodies against CD68 and CD163. Shown is case FL148 (22.64% CD68 positive pixels and 4.39% CD163 positive pixels by Aperio). Suppl. Fig 5. Distribution of CD68 and CD163 in the BCCA and PRIMA cohorts. Suppl. Fig 6. Correlation between CD68 and CD163 in the BCCA (left) and PRIMA cohorts (right). Suppl. Fig 7. Outcome correlation for CD68 in the BCCA cohort. The most significant cut-off of 2.94% was defined for progression-free survival (PFS) in the training cohort and carried forward into the overall survival (OS) analysis and validation cohorts. PFS and OS are calculated from date of initiation of R-CVP. Suppl. Fig 8. Outcome correlation for CD68 in the PRIMA cohort. The optimal cut-off of 1.41 was defined for progression-free survival (PFS) in the training cohort and carried forward into the overall survival (OS) analysis and validation cohorts. PFS and OS are calculated from date of registration in the trial. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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