Jianhua Zhang
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
Jianhua Zhang has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:
- Andrew Futreal
Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA
135 shared publications - Xingzhi Song
Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
108 shared publications - Jennifer Ann Wargo
The University of Texas MD Anderson Cancer Center
77 shared publications - Andrew W. Hahn
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
71 shared publications - Chantale Bernatchez
The University of Texas MD Anderson Cancer Center, Houston, Texas
64 shared publications - Christopher J. Logothetis
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA
62 shared publications
Latest Publications
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Data from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Figure S4 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Generation of reporter cells overexpressing CaSki cDNA library.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S4 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Generation of reporter cells overexpressing CaSki cDNA library.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Figure S1 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Activation of Fas-iNFκB reporter in FIR-APCs.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S1 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Activation of Fas-iNFκB reporter in FIR-APCs.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Figure S3 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Tsyn-seq system spike-in assay.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S3 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Tsyn-seq system spike-in assay.
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Figure S2 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Aggregates of interacting target cells and T cells.
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S2 from Tsyn-Seq: a T-cell Synapse–Based Antigen Identification Platform
Aggregates of interacting target cells and T cells.
- Open Access
- 27 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figures 1-4 from Subtype and Site Specific–Induced Metabolic Vulnerabilities in Prostate Cancer
S1. Seahorse assays on C4-2B and PC3 cells cultured in 2D. S2. Seahorse assays on C4-2B and PC3 cells cultured in 2D and treated with IACS-10759. S3. Luciferase assay and crystal violet staining are comparable methods for monitoring PCa cells growth. S4. Representative pictures of tumor-free, PC3 tumor-bearing control and PC3 tumor-bearing IACS-10759 treated tibiae.
- 27 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figures 1-4 from Subtype and Site Specific–Induced Metabolic Vulnerabilities in Prostate Cancer
S1. Seahorse assays on C4-2B and PC3 cells cultured in 2D. S2. Seahorse assays on C4-2B and PC3 cells cultured in 2D and treated with IACS-10759. S3. Luciferase assay and crystal violet staining are comparable methods for monitoring PCa cells growth. S4. Representative pictures of tumor-free, PC3 tumor-bearing control and PC3 tumor-bearing IACS-10759 treated tibiae.
- Open Access
- 27 November 2025
- Published by American Association for Cancer Research (AACR)
Data from Subtype and Site Specific–Induced Metabolic Vulnerabilities in Prostate Cancer
Aberrant metabolic functions play a crucial role in prostate cancer progression and lethality. Currently, limited knowledge is available on subtype-specific metabolic features and their implications for treatment. We therefore investigated the metabolic determinants of the two major subtypes of castration-resistant prostate cancer [androgen receptor–expressing prostate cancer (ARPC) and aggressive variant prostate cancer (AVPC)]. Transcriptomic analyses revealed enrichment of gene sets involved in oxidative phosphorylation (OXPHOS) in ARPC tumor samples compared with AVPC. Unbiased screening of metabolic signaling pathways in patient-derived xenograft models by proteomic analyses further supported an enrichment of OXPHOS in ARPC compared with AVPC, and a skewing toward glycolysis by AVPC. In vitro, ARPC C4–2B cells depended on aerobic respiration, while AVPC PC3 cells relied more heavily on glycolysis, as further confirmed by pharmacologic interference using IACS-10759, a clinical-grade inhibitor of OXPHOS. In vivo studies confirmed IACS-10759′s inhibitory effects in subcutaneous and bone-localized C4–2B tumors, and no effect in subcutaneous PC3 tumors. Unexpectedly, IACS-10759 inhibited PC3 tumor growth in bone, indicating microenvironment-induced metabolic reprogramming. These results suggest that castration-resistant ARPC and AVPC exhibit different metabolic dependencies, which can further undergo metabolic reprogramming in bone.Implications:These vulnerabilities may be exploited with mechanistically novel treatments, such as those targeting OXPHOS alone or possibly in combination with existing therapies. In addition, our findings underscore the impact of the tumor microenvironment in reprogramming prostate cancer metabolism.
- 27 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessData from Subtype and Site Specific–Induced Metabolic Vulnerabilities in Prostate Cancer
Aberrant metabolic functions play a crucial role in prostate cancer progression and lethality. Currently, limited knowledge is available on subtype-specific metabolic features and their implications for treatment. We therefore investigated the metabolic determinants of the two major subtypes of castration-resistant prostate cancer [androgen receptor–expressing prostate cancer (ARPC) and aggressive variant prostate cancer (AVPC)]. Transcriptomic analyses revealed enrichment of gene sets involved in oxidative phosphorylation (OXPHOS) in ARPC tumor samples compared with AVPC. Unbiased screening of metabolic signaling pathways in patient-derived xenograft models by proteomic analyses further supported an enrichment of OXPHOS in ARPC compared with AVPC, and a skewing toward glycolysis by AVPC. In vitro, ARPC C4–2B cells depended on aerobic respiration, while AVPC PC3 cells relied more heavily on glycolysis, as further confirmed by pharmacologic interference using IACS-10759, a clinical-grade inhibitor of OXPHOS. In vivo studies confirmed IACS-10759′s inhibitory effects in subcutaneous and bone-localized C4–2B tumors, and no effect in subcutaneous PC3 tumors. Unexpectedly, IACS-10759 inhibited PC3 tumor growth in bone, indicating microenvironment-induced metabolic reprogramming. These results suggest that castration-resistant ARPC and AVPC exhibit different metabolic dependencies, which can further undergo metabolic reprogramming in bone.Implications:These vulnerabilities may be exploited with mechanistically novel treatments, such as those targeting OXPHOS alone or possibly in combination with existing therapies. In addition, our findings underscore the impact of the tumor microenvironment in reprogramming prostate cancer metabolism.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Table 4 from Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma
Body mass index values by patient ID for all RNASeq cohorts.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 4 from Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma
Body mass index values by patient ID for all RNASeq cohorts.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Tables 1 and 6-8 from Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma
Supplementary Table 1: Baseline characteristics for patients included in the integrated gene set enrichment analysis (Figure 2-3) by cohort; Supplementary Table 6: The most frequent somatic alterations (alts) in patients with regionally metastatic melanoma by body mass index from The Cancer Genome Atlas cohort; Supplemental Table 7: Integrated gene set enrichment analysis for pathways associated with fatty acid metabolism by body mass index; Supplemental Table 8: Gene expression of selected genes of interest involved in fatty acid metabolism.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Tables 1 and 6-8 from Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma
Supplementary Table 1: Baseline characteristics for patients included in the integrated gene set enrichment analysis (Figure 2-3) by cohort; Supplementary Table 6: The most frequent somatic alterations (alts) in patients with regionally metastatic melanoma by body mass index from The Cancer Genome Atlas cohort; Supplemental Table 7: Integrated gene set enrichment analysis for pathways associated with fatty acid metabolism by body mass index; Supplemental Table 8: Gene expression of selected genes of interest involved in fatty acid metabolism.
- Open Access
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S7 from Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma
Beta-diversity analysis stratified by sex based on Bray-Curtis dissimilarity represents microbiome samples with metastatic melanoma in terms of the two top principal components (explaining around 17% of variance) obtained from the principal coordinate analysis. Red dots are from overweight/obese (OW/OB) BMI patients, and blue dots are from normal (NL) BMI patients. Shading inside the dots indicates the female gender. This is a subgroup analysis of Figure 5B.
- 25 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S7 from Obesity Is Associated with Altered Tumor Metabolism in Metastatic Melanoma
Beta-diversity analysis stratified by sex based on Bray-Curtis dissimilarity represents microbiome samples with metastatic melanoma in terms of the two top principal components (explaining around 17% of variance) obtained from the principal coordinate analysis. Red dots are from overweight/obese (OW/OB) BMI patients, and blue dots are from normal (NL) BMI patients. Shading inside the dots indicates the female gender. This is a subgroup analysis of Figure 5B.