Alexandra P. Ikeguchi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Alexandra P. Ikeguchi has a total of 267 co-authors. Here are the top co-authors by number of shared publications:
- Afaf E.G. Osman
17Division of Hematology and Hematologic Malignancies, Department of Internal Medicine, University of Utah, Salt Lake City, Utah
100 shared publications - Ahmad A. Tarhini
Departments of Cutaneous Oncology and Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
100 shared publications - Aik Choon Tan
Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah , Salt Lake City, UT
100 shared publications - Carlos H. F. Chan
Department of Surgery, University of Iowa Hospitals and Clinics, Iowa, USA
100 shared publications - Caroline E. Wheeler
Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
100 shared publications - Cornelia M. Ulrich
Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
100 shared publications
Latest Publications
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S2 shows the genomic variants detected by WES and statistical analaysis of WES data.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S2 shows the genomic variants detected by WES and statistical analaysis of WES data.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S3 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S3 shows the annotation of cells evaluated by NanoString.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S3 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S3 shows the annotation of cells evaluated by NanoString.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S1 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S1 shows the processing and review of sample processing for WES, RNAseq, and MIBI.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S1 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S1 shows the processing and review of sample processing for WES, RNAseq, and MIBI.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S4 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S4 show the comparison of cell types by MIBI across sample/response groups.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S4 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S4 show the comparison of cell types by MIBI across sample/response groups.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S5 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S5 shows the expression of protein markers by cell type subsets in MIBI data.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S5 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S5 shows the expression of protein markers by cell type subsets in MIBI data.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S6 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S6 shows the TCR/BCR repertoire metrics in RNAseq data from biopsies from patients nonresponsive to combination therapy.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S6 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S6 shows the TCR/BCR repertoire metrics in RNAseq data from biopsies from patients nonresponsive to combination therapy.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S7 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S7 shows the evaluation of TLS signatures in RNAseq and MIBI samples.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S7 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Figure S7 shows the evaluation of TLS signatures in RNAseq and MIBI samples.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Methods 1 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Methods contains additional methods details with a data dictionary for the supplementary tables.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Methods 1 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Methods contains additional methods details with a data dictionary for the supplementary tables.
- Open Access
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Tables S1-S9 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Tables containing sample and patient metadata, statistical results, annotation of cell types detected by MIBI, and manually reviewed variants in genes of interest.
- 1 September 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Tables S1-S9 from Cellular Neighborhoods Govern Antitumor T-cell Infiltration Following Anti–CTLA-4 in Melanoma with Primary Resistance to Anti–PD-1
Supplementary Tables containing sample and patient metadata, statistical results, annotation of cell types detected by MIBI, and manually reviewed variants in genes of interest.
- 21 April 2026
- Published by American Association for Cancer Research (AACR) in Cancer Discovery
- Vol. 16 (9) , 1801-1818
Cellular neighborhoods govern antitumor T-cell infiltration following anti-CTLA-4 in melanoma with primary resistance to anti-PD-1
In the phase 2 trial SWOG S1616 (NCT03033576), patients with advanced melanoma with primary resistance to anti-PD-1/L1 therapies had improved outcomes on the combination of the anti-CTLA-4 antibody ipilimumab with continued anti-PD-1 with nivolumab, over ipilimumab alone. Baseline biopsies from patients responsive to combination therapy had increased transcriptomic expression of complement by myeloid cells, interferon pathways by endothelial cells, and oxidative phosphorylation and lipid metabolism by melanoma cells. Using spatial proteomics, some on-therapy biopsies from patients responding to combination therapy had networks of activated CD8 T cells nearby melanoma cells, while others had T cells and myeloid cells, reflective of different timepoints in a dynamic antitumor response. Conversely, biopsies from patients progressing on combination immunotherapy displayed impaired T-cell infiltration adjacent to plasma cells. Our results define cellular neighborhoods and transcriptomes in melanoma biopsies when reversing resistance to anti-PD-1 with the addition of anti-CTLA4, and plasma cell sheets in non-responding biopsies.
- 21 April 2026
- Published by American Association for Cancer Research (AACR) in Cancer Discovery
- Vol. 16 (9) , 1801-1818
Cellular neighborhoods govern antitumor T-cell infiltration following anti-CTLA-4 in melanoma with primary resistance to anti-PD-1
In the phase 2 trial SWOG S1616 (NCT03033576), patients with advanced melanoma with primary resistance to anti-PD-1/L1 therapies had improved outcomes on the combination of the anti-CTLA-4 antibody ipilimumab with continued anti-PD-1 with nivolumab, over ipilimumab alone. Baseline biopsies from patients responsive to combination therapy had increased transcriptomic expression of complement by myeloid cells, interferon pathways by endothelial cells, and oxidative phosphorylation and lipid metabolism by melanoma cells. Using spatial proteomics, some on-therapy biopsies from patients responding to combination therapy had networks of activated CD8 T cells nearby melanoma cells, while others had T cells and myeloid cells, reflective of different timepoints in a dynamic antitumor response. Conversely, biopsies from patients progressing on combination immunotherapy displayed impaired T-cell infiltration adjacent to plasma cells. Our results define cellular neighborhoods and transcriptomes in melanoma biopsies when reversing resistance to anti-PD-1 with the addition of anti-CTLA4, and plasma cell sheets in non-responding biopsies.