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Hong, Chi‐Chen

0000-0001-9212-2264

Mayo Clinic

Roswell Park Comprehensive Cancer Center

Citations 6

Abstract PS2-08-14: Chemokine signatures improve PD-L1-based prediction of pembrolizumab response in triple-negative breast cancer
Deshmukh, S. Kumar, Wu, S., Xiu, Joanne , Sledge, G. W., Trapani, D., Leone, J., Chumsri, S., Lustberg, M. B., Hong, C., Yao, S., Ernstoff, M., Paulos, C. M., Lesinski, G. B., Madabhushi, A., Badve, S., Kalinsky, K., Kalinski, P., Gandhi, Shipra , Trapani, Dario , Leone, J. P. , Chumsri, S., Lustberg, Maryam , Hong, Chi‐Chen , Takabe, Kazuaki , Opyrchal, Mateusz , Chalasani, Pavani , Paulos, Chrystal M. , Lesinski, Gregory B , Badve, Sunil , Kalinsky, K. M.

Clinical Cancer Research | February 20, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS2-08-14-PS2-08-14

10.1158/1557-3265.sabcs25-ps2-08-14 Get It

Abstract Background: Triple-negative breast cancer (TNBC) is an aggressive yet immunogenic subtype of breast cancer (BC) and the only one with FDA-approved immune checkpoint inhibitor (ICI) - pembrolizumab. Currently, PD-L1 (22C3) is the companion biomarker for predicting pembrolizumab benefit, but its utility is limited by spatial/temporal heterogeneity, assay variability, and modest correlation with treatment response. Chemokines such as CXCL9, CXCL10, and CCL5 recruit CD8+ T cells into the tumor microenvironment and have been associated with improved response to ICI, but their predictive value alongside PD-L1 remains unclear. Here, we examined the relationship between these chemokines, PD-L1, and pembrolizumab efficacy in TNBC. Methods: We analyzed 3662 TNBC tumors profiled by NGS (592, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences). Immune cells were estimated using WTS deconvolution (Quantiseq). PD-L1 positivity was defined as >10% CPS (PharmDx 22C3). CXCL9/CXCL10/CCL5-high (H) and -low (L) TNBC were classified by RNA expression above or below 50th percentile. Real-world median overall survival (mOS) was derived from insurance claims and calculated from start of pembrolizumab to last contact using Kaplan-Meier. Statistical significance was assessed by chi-square and Mann-Whitney U with multiple comparison adjustments (q<0.05). Results: TNBC expressed higher levels of CXCL9, CXCL10, and CCL5 (N = 3662, median TPM: 5.3, 14.8, and 15.1) compared to HER2+ (N = 1344; 4.8, 10.1, 10.6) and HR+HER2- BC (N = 6097; 2.7, 6.6, 9.4), all q<0.05. Moderate correlations were observed between PD-L1 CPS and each chemokine (r = 0.41, p<.01). PD-L1-positive tumors had better mOS (24.3 months (m) vs 18.6 m, HR 0.75, 95% CI 0.6-0.92, p=0.007) compared to PD-L1-negative TNBC post-pembrolizumab. Among PD-L1-negative tumors, those with CXCL9-H had better mOS (26.9 m vs 15.8 m for CXCL9-L, HR 0.61, 95% CI 0.45-0.82, p=0.001) post-pembrolizumab. Among PD-L1-positive tumors, CXCL10-H and CCL5-H was associated with improved mOS (CXCL10-H: 25.7 m vs. 20.7 m for CXC10-L, p = 0.03; CCL5-H: 26.7 vs. 18.5 m for CCL5-L, p = 0.03) post-pembrolizumab. PD-L1 negative CXCL9-H, PD-L1 positive CXCL10-H and PD-L1 positive CCL5-H groups showed higher infiltration of CD8+ T cell, B cells, M1/M2 macrophages, Tregs. They also exhibited higher T cell inflamed score, IFNy score and MAPK activation score vs. CXCL9-L, CXCL10-L and CCL5-L groups (Table). Conclusions: In TNBC, a chemokine signature comprising CXCL9, CXCL10 and CCL5 refines PD-L1 based prediction of pembrolizumab benefit. Specifically, high CXCL10 or CCL5 expression in PD-L1-positive tumors, and high CXCL9 expression in PD-L1-negative tumors, were associated with improved survival post pembrolizumab and immune-rich microenvironment. These findings support the use of chemokine profiling to complement PD-L1 and enhance patient selection for ICI therapy in TNBC. Citation Format: S. Gandhi, S. Deshmukh, S. Wu, J. Xiu, G. Sledge Jr., D. Trapani, J. Leone, S. Chumsri, M. Lustberg, C. Hong, S. Yao, K. Takabe, M. Ernstoff, M. Opyrchal, P. Chalasani, C. Paulos, G. Lesinski, A. Madabhushi, S. Badve, K. Kalinsky, P. Kalinski. Chemokine signatures improve PD-L1-based prediction of pembrolizumab response in triple-negative breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-08-14.
Comprehensive molecular and immune characterization of adrenergic stress-signaling receptor ADRB2 in triple negative breast cancer (TNBC).
Deshmukh, Sachin Kumar , Wu, Sharon , Xiu, Joanne , Yao, Song, Sudmeier, Lisa , Kaliński, Paweł , Repasky, Elizabeth A. , Leone, José Pablo , Chumsri, Saranya , Sledge, G. W., Hong, Chi‐Chen , Yao, Song , Chalasani, Pavani , Ernstoff, Marc S. , Graff, Stephanie L. , Lustberg, Maryam B. , Kalinsky, Kevin M. , Gandhi, Shipra

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 1107-1107

10.1200/jco.2025.43.16_suppl.1107 Get It

1107 Background: Chronic stress-mediated β2-adrenergic receptor (β2-AR) signaling promotes tumor growth via immunosuppression in the tumor microenvironment (TME) in preclinical models. Blockade of β2-AR has shown higher survival benefit in patients with TNBC in observational studies compared to other breast cancer (BC) subtypes. However, the molecular and immunological features associated with ADRB2 (gene for β2-AR) gene expression in TNBC are unknown, prompting this investigation. Methods: 3,038 TNBC samples were analyzed via NGS (592-gene panel, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences, Phoenix, AZ). Immune cell fractions were calculated by deconvolution of WTS: Quantiseq. TNBC ADRB2 -high(H) and ADRB2 -low(L) RNA expression were classified as above or below the 50 th percentile, respectively. Real-world overall survival (OS) was obtained from insurance claims and calculated from tissue collection to last contact using Kaplan-Meier estimates. Statistical significance was assessed using chi-square and Mann-Whitney U tests with multiple comparison adjustments (q < 0.05). Results: ADRB2 gene expression was lowest in TNBC (median (TPM: 1.6) compared to N = 453 HR-HER2+ (1.9), N = 629 HR+HER2+ (2.0) and N = 4,918 HR+HER2- (2.2) BC (all q < 0.05). African American or Black patients (N = 670) had lower expression of ADRB2 compared to European American or White (N = 1,412) TNBC patients (1.3 vs 1.7, q < 0.05). ADRB2 -H TNBC had higher mutation frequency of PIK3CA (21% vs 15.4%), CDH1 (7% vs 3.5%), NF1 (8% vs 4%), AKT1 (3.5% vs 2.1%), but lower frequency of TP53 (81.6% vs 87.5%), NOTCH1 (2.5% vs 4.5%) and NOTCH3 (4.4% vs 11.7%) compared to ADRB2 -L, all q < 0.05. ADRB2 -H had greater PD-L1 (22C3) positivity (39.1% vs 30.2%, q < 0.05), higher % of B cells (4.5 vs 3.4), M1 Mφ (3.4 vs 2.8), M2 Mφ (3.9 vs 2.2), Tregs (2.2 vs 1.3), NK cells (3.1 vs 2.6), DC (3.1 vs 2.9), CD8 + T cells (0.9 vs 0.2), all q < 0.05. ADRB2 -H TNBC had higher T-cell inflamed score (95 vs -80), IFN γ score (-0.23 vs -0.37), MAPK activation score (-0.46 vs -1.7), all q < 0.05; and higher expression of immune checkpoint genes ( CD274, PDCD1, PDCD1LG2, CTLA4, LAG3, HAVCR2, FOXP3, IDO1, TNFSF14, TIGIT, BTLA, CEACAM1, CD47, CD274 ; fold change: 1.6-3.7, all q < 0.05). ADRB2 -H tumors had higher expression of genes related to inflammatory response, IFNγ response, IL6-JAK-STAT3 signaling (normalized enrichment score (NES): 1.9 – 2.1), while ADRB2 -L had enrichment of MYC targets V1, MYC targets V2, E2F targets and G2M checkpoint (NES: 2.5 – 4.2), all FDR < 0.01. ADRB2 -H TNBC had better OS (mOS: 23.6 vs 18.6 months; HR 0.81, 95% CI 0.73-0.89, p < 0.0001) compared to ADRB2 -L. Conclusions: High ADRB2 expression in TNBC is associated with better survival and an immune enriched TME, elevated immune checkpoints and other targetable vulnerabilities. Future studies are needed to investigate ADRB2 as a potential stress biomarker and therapeutic target.
Quality-of-Life (QOL) during Screening for Phase 1 Trial Studies in Patients with Advanced Solid Tumors and Its Impact on Risk for Serious Adverse Events
Anwar, Sidra , Tan, Wei, Hong, Chi-Chen, Admane, Sonal , Dozier, Askia, Siedlecki, Francine, Whitworth, Amy, DiRaddo, Ann Marie, DePaolo, Dawn, Jacob, Sandra M, Miller, Austin , Adjei, Alex A. , Dy, Grace K. , Ma, Wen Wee, Hong, Chi‐Chen , Wee, Wen , Miller, Austin

Cancers | June 27, 2017 | Volume: 9 | Issue: 7 | Pages: 73

10.3390/cancers9070073 Get It

Background: Serious adverse events (SAEs) and subject replacements occur frequently in phase 1 oncology clinical trials. Whether baseline quality-of-life (QOL) or social support can predict risk for SAEs or subject replacement among these patients is not known. Methods: Between 2011–2013, 92 patients undergoing screening for enrollment into one of 22 phase 1 solid tumor clinical trials at Roswell Park Cancer Institute were included in this study. QOL Questionnaires (EORTC QLQ-C30 and FACT-G), Medical Outcomes Study Social Support Survey (MOSSSS), Charlson comorbidity scores (CCS) and Royal Marsden scores (RMS) were obtained at baseline. Frequency of dose limiting toxicities (DLTs), subject replacement and SAEs that occurred within the first 4 cycles of treatment were recorded. Fisher’s exact test and Mann-Whitney-Wilcoxon test were used to study the association between categorical and continuous variables, respectively. A linear transformation was used to standardize QOL scores. p-value ≤ 0.05 was considered statistically significant. Results: Baseline QOL, MOSSSS, CCS and RMS were not associated with subject replacement nor DLTs. Baseline EORTC QLQ-C30 scores were significantly lower among patients who encountered SAEs within the first 4 cycles (p = 0.04). Conclusions: Lower (worse) EORTC QLQ-C30 score at baseline is associated with SAE occurrence during phase 1 oncology trials.
Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer
Hampras, Shalaka , Sucheston‐Campbell, Lara, Cannioto, Rikki , Chang‐Claude, Jenny , Dörk, Thilo , Hillemanns, Peter , Preus, Leah, Knutson, Keith L. , Wallace, Paul K. , Friel, Grace , Davis, Warren , Nesline, Mary , Pearce, Celeste Leigh, Kelemen, Linda E. , Goodman, Marc T. , Terry, Kathryn L. , Schoof, Nils , Eng, Kevin H., Clay‐Gilmour, Alyssa , Joseph, Janine M. , Aben, Katja K.H. , Antonenkova, Natalia, Baker, Helen , Bean, Yukie T., Beckmann, Matthias W. , Bisogna, Maria, Bogdanova, Natalia , Brinton, Louise A. , Bruinsma, Fiona , Campbell, Ian , Carty, Karen , Dansonka‐Mieszkowska, Agnieszka , Despierre, Evelyn, Dicks, Ed , Easton, Doug , Eccles, Diana , Edwards, Robert P., Ekici, Arif B. , Fasching, Peter A. , Gao, Yu‐Tang , Harrington, Patricia, Harter, Philipp , Hasmad, Hanis Nazihah, Hein, Alexander , Heitz, Florian , Hildebrandt, Michelle A.T., Høgdall, Claus , Høgdall, Estrid , Hosono, Satoyo , Iversen, Edwin S., Jakubowska, Anna , Jensen, Allan , Ji, Bu‐Tian , Kellar, Melissa, Kelley, Joseph L., Kiemeney, Lambertus A. , Klapdor, Rüdiger , Kolomeyevskaya, Nonna, Krakstad, Camilla , Kruszka, Bridget, Kupryjańczyk, Jolanta , Lambrechts, Diether , Lambrechts, Sandrina, Le, Nhu D. , Lee, Alice W. , Lele, Shashikant , Leminen, Arto, Lester, Jenny, Levine, Douglas A. , Liang, Dong , Lissowska, Jolanta , Liu, Song , Lu, Karen, Lubiński, Jan , Lundvall, Lene, Massuger, Leon F.A.G. , Matsuo, Keitaro , McGuire, V., McLaughlin, John R., McNeish, Iain A. , Menon, Usha , Moes-Sosnowska, Joanna , Narod, Steven A., Nedergaard, Lotte , Nickels, Stefan , Olson, Sara H. , Weber, Rachel Palmieri , Paul, James , Pelttari, Liisa M. , Perkins, Barbara, Permuth‐Wey, Jenny, Pike, Malcolm C., Plisiecka-Hałasa, Joanna, Rossing, Mary Anne, Rothstein, Joseph H. , Runnebaum, Ingo B. , Rzepecka, Iwona K. , Salvesen, Helga B., Schernhammer, Eva , Schmitt, Kristina, Schwaab, Ira, Shvetsov, Yurii B. , Sieh, Weiva , Song, Honglin , Southey, Melissa C. , Tangen, Ingvild L. , Teo, Soo‐Hwang , Thompson, Pamela J., Timorek, Agnieszka, Tworoger, Shelley S. , Altena, Anna M. van, Vergote, Ignace , Vierkant, Robert A. , Walsh, Christine , Wang‐Gohrke, Shan , Wentzensen, Nicolas, Whittemore, Alice S. , Wicklund, Kristine G. , Wu, Anna H. , Wu, Xifeng , Woo, Yin Ling , Zheng, Wei , Gayther, Simon A. , Ramus, Susan J. , Sellers, Thomas A. , Schildkraut, Joellen M. , Phelan, Catherine M., Chenevix‐Trench, Georgia , Cunningham, Julie M. , Ness, Roberta B., Odunsi, Kunle , Goode, Ellen L. , Moysich, Kirsten B., Lu, Karen H. , Lambrechts, Diether , Modugno, Francesmary , Knutson, Keith L. , Hong, Chi‐Chen , Bandera, Elisa V. , Singh, Prashant Kumar , Anton‐Culver, Hoda , Bjørge, Line , Brooks‐Wilson, Angela , Bützow, Ralf C. , Cook, Linda S. , Cramer, Daniel W. , Cybulski, Cezary , Dennis, Joe , Doherty, Jennifer A. , Bois, Andreas du , Dürst, Matthias , Fridley, Brooke L. , Gentry‐Maharaj, Aleksandra , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Hildebrandt, Michelle A.T. , Karlan, Beth Y. , Kjær, Susanne K. , Lu, Karen, McLaughlin, John R., Nevanlinna, Heli , Orlow, Irene , Pejovic, Tanja B. , Poole, Elizabeth M. , Risch, Harvey A. , Rudolph, Anja , Shu, Xiao‐Ou , Siddiqui, Nadeem , Tyrer, Jonathan P. , Wentzensen, Nicolas , Wilkens, Lynne R. , Yang, Hannah , Ziogas, Argyrios , Berchuck, Andrew , Pharoah, Paul D.P. , Pelttari, L M , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Ramus, Susan J , Teo, Soo H , Tworoger, Shelley S , Hein, Alexander , Hillemanns, Peter , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Paul, James , Moysich, Kirsten , Lissowska, Jolanta , Campbell, Ian G , Southey, Melissa C , Matsuo, Keitaro , Heitz, Florian , Jakubowska, Anna , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Ekici, Arif B , Bogdanova, Natalia V , Chenevix-Trench, Georgia , Zheng, Wei , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T

Oncotarget | July 6, 2016 | Volume: 7 | Issue: 43 | Pages: 69097-69110

10.18632/oncotarget.10215 Get It

Chronic Recreational Physical Inactivity and Epithelial Ovarian Cancer Risk: Evidence from the Ovarian Cancer Association Consortium
Cannioto, Rikki , LaMonte, Michael J. , Sucheston‐Campbell, Lara, Eng, Kevin H., Szender, J. Brian, Chang‐Claude, Jenny, Schmalfeldt, Barbara , Klapdor, R, Gower, Emily, Minlikeeva, Albina N. , Zirpoli, Gary , Edwards, Robert P., Goode, Ellen L. , Goodman, Marc T. , Høgdall, Estrid , Hosono, Satoyo , Jensen, Allan , Jordan, Susan J. , Group, on behalf of The Australian Ovarian Cancer Study, Matsuo, Keitaro , Ness, Roberta B., Olsen, Catherine M. , Olson, Sara H. , Pearce, Celeste Leigh , Pike, Malcolm C. , Rossing, Mary Anne, Szamreta, Elizabeth A. , Thompson, Pamela J., Tseng, Chiu-Chen , Vierkant, Robert A. , Webb, Penelope M. , Wentzensen, Nicolas , Wicklund, Kristine G. , Winham, Stacey J. , Wu, Anna H. , Schildkraut, Joellen M. , Terry, Kathryn L. , Kelemen, Linda E. , Moysich, Kirsten B. , Risch, Harvey A. , Hong, Chi‐Chen , Bandera, Elisa V. , Berchuck, Andrew , Cramer, Daniel W. , Doherty, Jennifer A. , Fridley, Brooke L. , Group, on behalf of The Australian Ovarian Cancer Study, Kjær, Susanne K. , Modugno, Francesmary , Winham, Stacey J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Moysich, Kirsten , Matsuo, Keitaro , Høgdall, Estrid , Zirpoli, Gary , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | May 7, 2016 | Volume: 25 | Issue: 7 | Pages: 1114-1124

10.1158/1055-9965.epi-15-1330 Get It

Abstract Background: Despite a large body of literature evaluating the association between recreational physical activity and epithelial ovarian cancer (EOC) risk, the extant evidence is inconclusive, and little is known about the independent association between recreational physical inactivity and EOC risk. We conducted a pooled analysis of nine studies from the Ovarian Cancer Association Consortium to investigate the association between chronic recreational physical inactivity and EOC risk. Methods: In accordance with the 2008 Physical Activity Guidelines for Americans, women reporting no regular, weekly recreational physical activity were classified as inactive. Multivariable logistic regression was utilized to estimate the ORs and 95% confidence intervals (CI) for the association between inactivity and EOC risk overall and by subgroups based upon histotype, menopausal status, race, and body mass index. Results: The current analysis included data from 8,309 EOC patients and 12,612 controls. We observed a significant positive association between inactivity and EOC risk (OR = 1.34; 95% CI, 1.14–1.57), and similar associations were observed for each histotype. Conclusions: In this large pooled analysis examining the association between recreational physical inactivity and EOC risk, we observed consistent evidence of an association between chronic inactivity and all EOC histotypes. Impact: These data add to the growing body of evidence suggesting that inactivity is an independent risk factor for cancer. If the apparent association between inactivity and EOC risk is substantiated, additional work via targeted interventions should be pursued to characterize the dose of activity required to mitigate the risk of this highly fatal disease. Cancer Epidemiol Biomarkers Prev; 25(7); 1114–24. ©2016 AACR.
Abstract 4681: Effect of physician recommendation on multivitamin and antioxidant supplement use during chemotherapy in an adjuvant trial for breast cancer (SWOG S0221)
McCann, Susan E. , Budd, G. Thomas , Stewart, James A. , Hobday, Timothy J. , Salim, Muhammad , Albain, Kathy S. , Hayes, Daniel F. , Zirpoli, Gary , Brennan, Patrick M. , Hong, Chi‐Chen , Unger, Joseph M. , Hershman, Dawn L. , Isaacs, Claudine , Hortobágyi, Gabriel N. , Gralow, Julie R. , Ambrosone, Christine B.

Cancer Research | June 27, 2012 | Volume: 71 | Issue: 8_Supplement | Pages: 4681-4681

10.1158/1538-7445.am2011-4681 Get It

Abstract Because numerous chemotherapeutic agents exert their cytotoxic effects through generation of reactive oxygen species, the use of antioxidant supplements during treatment is controversial. There are published recommendations to suspend antioxidant supplement use during treatment, despite lack of empirical data from clinical studies; however, it is unclear if patients follow these recommendations. We examined use of multivitamins and vitamin supplements (MV/SP) during treatment for breast cancer, particularly in relation to physician recommendations. High-risk breast cancer patients (n=855) were queried regarding physician recommendations and use of MV/SP via self-administered questionnaires in an ancillary study embedded in a phase III trial of dose-dense compared to metronomic administration of doxorubicin/cyclophosphamide + paclitaxel (SWOG S0221). Of the 658 patients who reported discussing use of supplements during treatment with their physicians, 390 (59%) received no counseling regarding MV/SP use, 85 (13%) received recommendations not to take MV/SP, and 183 (28%) received recommendations to use MV/SP. MV/SP use during treatment was compared to use prior to diagnosis in relation to physician recommendations, with the reference group comprised of those receiving no recommendations. Of those using MV ≥ once/week before diagnosis, recommendations not to take MV/SP were associated with a tenfold reduction in MV use to &lt; once/week during treatment. (OR=10.0, 95% CI=3.7-27.0). MV use was less likely to decrease among patients receiving recommendations to use MV/SP (OR=0.23, 95% CI=0.12-0.44). Similar findings were observed among patients who reported use of vitamin C and vitamin E supplements ≥ once/week before diagnosis, with patients who were advised to take no supplements other than a MV more than 5 times as likely to decrease use of antioxidant supplements. MV use during treatment among previous non-users increased almost sixfold among those whose physicians recommended MV/SP use during treatment (OR=5.92, 95% CI=3.29-10.6). For those reporting vitamin C or vitamin E use &lt; once/week before diagnosis, patients whose physicians recommended MV/SP during treatment were more likely to increase their use of vitamin C (OR=2.05, 95% CI=1.00-4.19) and vitamin E (OR=5.28, 95% CI=2.24-12.4). In this study, physician recommendations were strongly associated with patient use of MV/SP during chemotherapy, regardless of the patient's frequency of use prior to diagnosis. These findings highlight the critical need to better understand the mechanisms by which antioxidants may influence chemotherapeutic outcomes, and to determine if supplement use affects toxicity and/or recurrence. Yearly follow-up in this ongoing study will allow us to assess the impact of MV/SP use treatment outcomes, providing a basis for physician recommendations. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4681. doi:10.1158/1538-7445.AM2011-4681