Andrew A. Butler
Research Subjects
Andrew A. Butler has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Alexander Savchenko
Novartis, Cambridge, MA, USA
33 shared publications - Benjamin J. Solomon
Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
33 shared publications - Bruce E. Johnson
Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
33 shared publications - Claudia Bossen
Novartis Pharma
33 shared publications - Daniel Shao Weng Tan
Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
33 shared publications - David Demanse
13Novartis Pharma AG, Basel, Switzerland
33 shared publications
Latest Publications
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S11 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Distribution of viable tumor cells in CANOPY-N surgery samples in A, all patients, B, the CD8-low subgroup, and C, the CD8-high subgroup.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S11 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Distribution of viable tumor cells in CANOPY-N surgery samples in A, all patients, B, the CD8-low subgroup, and C, the CD8-high subgroup.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S10 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Changes in T-cell phenotype distribution from screening to surgery for CANOPY-N as A, a T-cell phenotype count and B, a fraction of the total phenotypes per arm/time point.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S10 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Changes in T-cell phenotype distribution from screening to surgery for CANOPY-N as A, a T-cell phenotype count and B, a fraction of the total phenotypes per arm/time point.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S6 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
A, PFS and B, OS by low T-cell–inflamed signature and C, PFS and D, OS by high T-cell–inflamed signature for CANOPY-1.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S6 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
A, PFS and B, OS by low T-cell–inflamed signature and C, PFS and D, OS by high T-cell–inflamed signature for CANOPY-1.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Table 1 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Baseline characteristics for CANOPY-1 and CANOPY-N population subsets
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable 1 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Baseline characteristics for CANOPY-1 and CANOPY-N population subsets
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S7 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
A, CD8 central tumor levels by PD-L1 subgroups and B, summary of patient characteristics at baseline by PD-L1 subgroup for CANOPY-1.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S7 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
A, CD8 central tumor levels by PD-L1 subgroups and B, summary of patient characteristics at baseline by PD-L1 subgroup for CANOPY-1.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S10 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Changes in T-cell phenotype distribution from screening to surgery for CANOPY-N as A, a T-cell phenotype count and B, a fraction of the total phenotypes per arm/time point.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S10 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Changes in T-cell phenotype distribution from screening to surgery for CANOPY-N as A, a T-cell phenotype count and B, a fraction of the total phenotypes per arm/time point.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S4 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Cell phenotypes assessed by QIF: A, CD11b/CD66b stained for polymorphonuclear granulocytes (or neutrophils); B, CD163 stained for monocyte-lineage macrophages (or tumor-associated macrophages); and C, FOXP3/CD3 stained for regulatory T cells.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S4 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Cell phenotypes assessed by QIF: A, CD11b/CD66b stained for polymorphonuclear granulocytes (or neutrophils); B, CD163 stained for monocyte-lineage macrophages (or tumor-associated macrophages); and C, FOXP3/CD3 stained for regulatory T cells.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S5 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Comparison of CD8 subgroups (median cut-off) with T-cell phenotypes for CANOPY-1, by A, CD8 level and B, T-cell phenotype.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S5 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
Comparison of CD8 subgroups (median cut-off) with T-cell phenotypes for CANOPY-1, by A, CD8 level and B, T-cell phenotype.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure 6 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
(A) Total CD8+ T cells, (B) intratumoral CD8+ T cells, (C) CD163+ TAMs, (D) CD66b+CD11b+ myeloid cells, (E) and FOXP3+ regulatory T cells by treatment arm in CANOPY-N. aCD163 is a marker for TAMs and was normalized by total detectable cells. bFOXP3 is a marker for regulatory T cells and was normalized by the abundance of CD3+ cells. CD66b expression is a marker for granulocytes including neutrophils, and CD11b is a marker for myeloid cells.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure 6 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
(A) Total CD8+ T cells, (B) intratumoral CD8+ T cells, (C) CD163+ TAMs, (D) CD66b+CD11b+ myeloid cells, (E) and FOXP3+ regulatory T cells by treatment arm in CANOPY-N. aCD163 is a marker for TAMs and was normalized by total detectable cells. bFOXP3 is a marker for regulatory T cells and was normalized by the abundance of CD3+ cells. CD66b expression is a marker for granulocytes including neutrophils, and CD11b is a marker for myeloid cells.
- Open Access
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Figure S2 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
T-cell phenotypes derived from VisioPharm IA software algorithm were established under pathology review using panCK (purple) as the tumor marked-up area. Semi-automatic scoring of CD8 (brown) in panCK-negative tumor stroma and panCK-positive carcinoma cell compartments was performed, and representative T-cell phenotypes are depicted.
- 13 May 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S2 from The Impact of the Tumor Microenvironment on the Effect of IL-1β Blockade in NSCLC: Biomarker Analyses from CANOPY-1 and CANOPY-N Trials
T-cell phenotypes derived from VisioPharm IA software algorithm were established under pathology review using panCK (purple) as the tumor marked-up area. Semi-automatic scoring of CD8 (brown) in panCK-negative tumor stroma and panCK-positive carcinoma cell compartments was performed, and representative T-cell phenotypes are depicted.