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Background: HER2DX is a 27-gene prognostic (risk-score) and predictive (pathological complete response [pCR]-score) assay in early-stage HER2+ breast cancer (BC) based on clinical data and the expression of 4 gene signatures (immune, proliferation, luminal differentiation, and HER2 amplicon). Here we aim to evaluate, for the first time, the ability of HER2DX to predict pCR following neoadjuvant THP in HER2+ BC. Methods: Standardized HER2DX was evaluated centrally on baseline pre-treatment FFPE tumor biopsies from the DAPHNe phase II trial (Waks et al. NPJ Breast 2022; NCT03716180), in which patients (pts) with newly diagnosed stage II-III HER2+ BC were treated with neoadjuvant weekly paclitaxel × 12 and HP every 3 weeks × 4. Primary aim was to test the ability of HER2DX pCR-score to predict pCR (ypT0/isN0). Secondary objectives were to test the ability of HER2DX pCR-score to predict pCR independent of clinical-pathological variables and PAM50 subtype (HER2-enriched vs not) and to evaluate the association of HER2DX pCR-score with HER2DX risk-score. Five patients who received additional neoadjuvant chemotherapy after THP were excluded from this analysis. Logistic regression and receiver-operator curve (ROC) analysis were assessed. Statistical analyses were performed in R code 4.0.5. Results: HER2DX was evaluated in 80 of 97 pts (82.5%) enrolled in the DAPHNe trial who received study treatment. Clinical T2-4 disease represented 81.3% of cases (n=65), clinical node-negative disease (cN0) represented 65.0% of cases (n=52), and 70.0% of tumors (n=56) were hormone receptor-positive. The overall pCR rate was 60.0% (95% confidence interval [CI] 49.3-70.7): 87.0% (95% CI 79.6-94.4) in hormone receptor-negative disease and 48.2% (95% CI 37.2-59.1) in hormone receptor-positive disease. The proportion of HER2DX low-, medium- and high-pCR groups was 38.8%, 27.5% and 33.7%, respectively. HER2DX pCR-score (as a continuous variable from 0 to 100) was significantly associated with pCR (odds ratio [OR]=1.05, p< 0.0001). In the overall population, the pCR rates in HER2DX pCR-high, pCR-med and pCR-low groups were 92.6%, 63.6% and 29.0% (pCR-high vs pCR-low OR=30.6, p< 0.0001), respectively. The AUC ROC of HER2DX pCR score (as a continuous variable) and pCR status was 0.835. In the ER-negative population, the pCR rates in HER2DX pCR-high, pCR-med and pCR-low groups were 94.7%, 66.7%, and 0%, respectively (Table 1). HER2DX pCR-score was significantly associated with pCR independent of hormone receptor status, HER2 immunohistochemistry (IHC) score, clinical stage, and PAM50 HER2-enriched subtype. The correlation between HER2DX pCR-score and HER2DX risk-score was weak (Pearson coefficient=-0.12), as previously described (Prat et al. EBiomedicine 2022). 51.3% of patients were categorized as HER2DX low-risk. Conclusion: The 27-gene HER2DX genomic test predicts pCR following neoadjuvant THP in newly diagnosed stage II-III HER2+ BC. Patients with HER2DX pCR-low score and HER2DX high-risk score, representing 22.5% of pts, warrant further attention in order to optimize therapeutic strategies in this subset. The combination of HER2DX pCR-score and risk-score might guide therapeutic decisions by identifying patients who are ideal candidates for de-escalated or escalated systemic and locoregional treatments. Table 1 Citation Format: Adrienne Waks, Esther R. Ogayo, Laia Paré, Mercedes Marín-Aguilera, Fara Brasó-Maristany, Patricia Galván, Oleguer Castillo, Olga Martínez-Sáez, Ana Vivancos, Patricia Villagrasa, Paolo Tarantino, Neelam Desai, Jennifer Guerriero, Otto Metzger, Nadine Tung, Ian Krop, Joel S Parker, Charles M. Perou, Aleix Prat, Eric Winer, Sara Tolaney, Elizabeth A. Mittendorf. Independent validation of the HER2DX genomic test in HER2-positive breast cancer treated with neoadjuvant paclitaxel, trastuzumab and pertuzumab (THP): a correlative analysis from the DAPHNe phase II clinical trial [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P1-04-05.

In advanced HER2-positive (HER2+) breast cancer, the new antibody-drug conjugate trastuzumab deruxtecan is more effective compared with trastuzumab emtansine (T-DM1). However, trastuzumab deruxtecan can have considerable toxicities, and the right treatment sequence is unknown. Biomarkers to guide the use of anti-HER2 therapies beyond HER2 status are needed. Here, we evaluated if preestablished levels of ERBB2 mRNA expression according to the HER2DX standardized assay are associated with response and survival following T-DM1. In ERBB2 low, medium, and high groups, the overall response rate was 0%, 29%, and 56%, respectively (P

Obesity promotes triple-negative breast cancer (TNBC), and effective interventions are urgently needed to break the obesity-TNBC link. Epidemiologic studies indicate that bariatric surgery reduces TNBC risk, while evidence is limited or conflicted for weight loss via low-fat diet (LFD) or calorie restriction (CR). Using a murine model of obesity- driven TNBC, we compared the antitumor effects of vertical sleeve gastrectomy (VSG) with LFD, chronic CR, and intermittent CR. Each intervention generated weight and fat loss and suppressed tumor growth relative to obese mice (greatest suppression with CR). VSG and CR regimens exerted both similar and unique effects, as assessed using multi-omic approaches, in reversing obesity-associated transcriptional, epigenetic, secretome, and microbiota changes and restoring antitumor immunity. Thus, in a murine model of TNBC, bariatric surgery and CR each reverse obesity-driven tumor growth via shared and distinct antitumor mechanisms, and CR is superior to VSG in reversing obesity’s procancer effects.

ImportanceBiomarkers to guide the use of pertuzumab in the treatment of early-stage ERBB2 (formerly HER2)-positive breast cancer beyond simple ERBB2 status are needed.ObjectiveTo determine if use of the HER2DX genomic assay (Reveal Genomics) in pretreatment baseline tissue samples of patients with ERBB2-positive breast cancer is associated with response to neoadjuvant trastuzumab-based chemotherapy with or without pertuzumab.Design, Setting, and ParticipantsThis is a retrospective diagnostic/prognostic analysis of a multicenter academic observational study in Spain performed during 2018 to 2022 (GOM-HGUGM-2018-05). In addition, a combined analysis with 2 previously reported trials of neoadjuvant cohorts with results from the assay (DAPHNe and I-SPY2) was performed. All patients had stage I to III ERBB2-positive breast cancer, signed informed consent, and had available formalin-fixed paraffin-embedded tumor specimens obtained prior to starting therapy.ExposuresPatients received intravenous trastuzumab, 8 mg/kg, loading dose, followed by 6 mg/kg every 3 weeks in combination with intravenous docetaxel, 75 mg/m2, every 3 weeks and intravenous carboplatin area under the curve of 6 every 3 weeks for 6 cycles, or this regimen plus intravenous pertuzumab, 840 mg, loading dose, followed by an intravenous 420-mg dose every 3 weeks for 6 cycles.Main Outcome and MeasuresAssociation of baseline assay-reported pathologic complete response (pCR) score with pCR in the breast and axilla, as well as association of baseline assay-reported pCR score with response to pertuzumab.ResultsThe assay was evaluated in 155 patients with ERBB2-positive breast cancer (mean [range] age, 50.3 [26-78] years). Clinical T1 to T2 and node-positive disease was present in 113 (72.9%) and 99 (63.9%) patients, respectively, and 105 (67.7%) tumors were hormone receptor positive. The overall pCR rate was 57.4% (95% CI, 49.2%-65.2%). The proportion of patients in the assay-reported pCR-low, pCR-medium, and pCR-high groups was 53 (34.2%), 54 (34.8%), and 48 (31.0%), respectively. In the multivariable analysis, the assay-reported pCR score (as a continuous variable from 0-100) showed a statistically significant association with pCR (odds ratio [OR] per 10-unit increase, 1.43; 95% CI, 1.22-1.70; P P P P = .77). A statistically significant interaction between the assay-reported pCR score and the effect of pertuzumab in pCR was observed.Conclusions and RelevanceThis diagnostic/prognostic study demonstrated that the genomic assay predicted pCR following neoadjuvant trastuzumab-based chemotherapy with or without pertuzumab. This assay could guide therapeutic decisions regarding the use of neoadjuvant pertuzumab.

T-cell receptor (TCR) repertoire profiling has emerged as a powerful tool for biological discovery and biomarker development in cancer immunology and immunotherapy. A key statistic derived from repertoire profiling data is diversity, which summarizes the frequency distribution of TCRs within a mixed population. Despite the growing use of TCR diversity metrics in clinical trial correlative studies in oncology, their accuracy has not been validated using published ground-truth datasets. Here, we reported the performance characteristics of methods for TCR repertoire profiling from RNA-sequencing data, showed undersampling as a prominent source of bias in diversity estimates, and derived a model via statistical learning that attenuates bias to produce corrected diversity estimates. This modeled diversity improved discrimination in The Cancer Genome Atlas data and associated with survival and treatment response in patients with melanoma treated with anti–PD-1 therapy, where the commonly used diversity normalizations did not. These findings have the potential to increase our understanding of the tumor immune microenvironment and improve the accuracy of predictions of patient responses to immunotherapy.

Supplemental Data File

Combined supplementary figures with legends

Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility complex (MHC) binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity using approaches modeled from tumor-specific antigen data. Here, we describe peptide-intrinsic biochemical features associated with neoantigen and minor histocompatibility mismatch antigen immunogenicity and present a gradient boosting algorithm for predicting tumor antigen immunogenicity. This algorithm was validated in two murine tumor models and demonstrated the capacity to select for therapeutically active antigens. Immune correlates of neoantigen immunogenicity were studied in a pan-cancer data set from The Cancer Genome Atlas and demonstrated an association between expression of immunogenic neoantigens and immunity in colon and lung adenocarcinomas. Lastly, we present evidence for expression of an out-of-frame neoantigen that was capable of driving antitumor cytotoxic T-cell responses. With the growing clinical importance of tumor vaccine therapies, our approach may allow for better selection of therapeutically relevant tumor-specific antigens, including nonclassic out-of-frame antigens capable of driving antitumor immunity.

Supplemental figures and tables

Legend for Supplementary Data

Supplementary Data 1 - tab 1 These supplementary data for Fig. 4 show the expanded statistical results of univariable generalized linear model regressions performed on TCR diversity metrics and features commonly associated with diversity. BH_pValue is the result of a Benjamini-Hochberg FDR correction on the pValue column. Significance was calculated by -log10(BH_pValue). Supplementary Data 2 - tab 2 These supplementary data for Fig 5 show the expanded statistical results of univariable CoxPH regressions on diversity metrics and TCGA overall survival. BH_pValue is the result of a Benjamini-Hochberg FDR correction on the pValue column. Significance was calculated by -log10(BH_pValue).

Cell sorting strategy, Pathway maps for differentially expressed genes, Differentially expressed surface markers, AXL gene set used in analysis. Figure S1: Staining and gating strategy of flow cytometry analysis. Figure S2: Sorting strategy to isolate CD184hi and CD184lo subpopulations. Figure S3: Cell Cycle Pathway Regulation Figure S4: DNA Replication Pathway Regulation Figure S5: G1/S Transition Pathway Regulation Figure S6: Angiogenesis Pathway Regulation Table S1: List of CD surface marker genes differentially regulated (CD184lo/CD184hi) at FDR4. Table S2: AXL gene set and Fold - change in CD184lo vs. CD184hi population. Table S3: Full RNASeq dataset in Excel format.

Supplementary Table from Reversing the Genomic, Epigenetic, and Triple-Negative Breast Cancer–Enhancing Effects of Obesity

Table S6 contains results from the analysis of DNA methylation in SETD2 mutated and BAP1 inactivated samples.

This file contains additional details on the microarray analysis and normalization.

Patients with breast cancer brain metastases have extremely limited survival and no approved systemic therapeutics. Triple-negative breast cancer (TNBC) commonly metastasizes to the brain and predicts poor prognosis. TNBC frequently harbors BRCA mutations translating to platinum sensitivity potentially augmented by additional suppression of DNA repair mechanisms through PARP inhibition. We evaluated brain penetrance and efficacy of carboplatin ± the PARP inhibitor ABT888, and investigated gene-expression changes in murine intracranial TNBC models stratified by BRCA and molecular subtype status. Athymic mice were inoculated intracerebrally with BRCA-mutant: SUM149 (basal), MDA-MB-436 (claudin-low); or BRCA–wild-type (wt): MDA-MB-468 (basal), MDA-MB-231BR (claudin-low). TNBC cells were treated with PBS control [intraperitoneal (IP), weekly], carboplatin (50 mg/kg/wk, IP), ABT888 (25 mg/kg/d, oral gavage), or their combination. DNA damage (γ-H2AX), apoptosis (cleaved caspase-3, cC3), and gene expression were measured in intracranial tumors. Carboplatin ± ABT888 significantly improved survival in BRCA-mutant intracranial models compared with control, but did not improve survival in BRCA-wt intracranial models. Carboplatin + ABT888 revealed a modest survival advantage versus carboplatin in BRCA-mutant models. ABT888 yielded a marginal survival benefit in the MDA-MB-436, but not in the SUM149 model. BRCA-mutant SUM149 expression of γ-H2AX and cC3 proteins was elevated in all treatment groups compared with control, whereas BRCA-wt MDA-MB-468 cC3 expression did not increase with treatment. Carboplatin treatment induced common gene-expression changes in BRCA-mutant models. Carboplatin ± ABT888 penetrates the brain and improves survival in BRCA-mutant intracranial TNBC models with corresponding DNA damage and gene-expression changes. Combination therapy represents a potential promising treatment strategy for patients with TNBC brain metastases warranting further clinical investigation. Mol Cancer Ther; 14(4); 920–30. ©2015 AACR.

Supplementary Figure S1 - PDF file 1194K, Gamma-H2AX foci and Comet assay normalized of LNCaP plus or minus androgen normalized to time 0

Supplementary Table S2 - PDF file 250K, Defining AR-regulated DNA repair genes in LNCaP

This file contains the compiled Supplemental Figures S1-S9. Figure S1 is a flowchart describing the process of normalizing the microarray data for the SUM149 model for the different scanners used. Figure S2 depicts the scanner differences in the microarray data for the SUM149 model before and after normalization. Figure S3 is a flowchart depicting the analytical process used to analyze and compare the SUM149 and MDA-MB-436 models microarray results, and Figure S4 shows the difference in scale between models before and after the scaling process for visual comparison of the SUM149 and MDA-MB-436 models. Figure S5 demonstrates the lack of survival benefit of Carboplatin +/- ABT88 in the two BRCA-wt models, MDA-MB-468 and MDA-MB-231BR. Figure S6 contains representative images of IHC cC3 staining for the BRCA-wt model, MDA-MB-468. Figure S7 shows the unsupervised clustering of the BRCA-mut SUM149 and MDA-MB-436 models with treatment. Figure S8 contains the supervised clustering based on carboplatin treatment in these two models. Figure S9 demonstrates the expression levels of the 38 commonly regulated genes in both models with carboplatin treatment.

This file contains the differentially expressed genes and enriched pathways lists from the gene expression microarray analyses in Supplemental Table S1, with sample information in S1a. Lists are for the following comparisons: SUM149 Control vs. ABT888 (S1b), MDA-MB-436 Control vs. ABT888 (S1c), SUM149 Control vs. Carboplatin (S1d), MDA-MB-436 Control vs. Carboplatin (S1e), SUM149 Control vs Carboplatin+ABT888 (S1f), MDA-MB-436 Control vs Carboplatin+ABT888 (S1g), SUM149 Carboplatin vs Carboplatin+ABT888 (S1h), MDA-MB-436 Carboplatin vs Carboplatin+ABT888 (S1i). DAVID pathway enrichment analysis results are shown for the significantly up-regulated (S1j) and down-regulated (S1k) genes with Carboplatin treatment for both models.

This file contains the figure legends for Supplemental Figures S1-S9.

Supplementary Figure from Reversing the Genomic, Epigenetic, and Triple-Negative Breast Cancer–Enhancing Effects of Obesity

Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune-checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options.Significance:Through a comprehensive integrated genomic study of 74 MPMs, we provide a deeper understanding of histology-independent determinants of aggressive behavior, define a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity, and discovered strong expression of the immune-checkpoint gene VISTA in epithelioid MPM.See related commentary by Aggarwal and Albelda, p. 1508.This article is highlighted in the In This Issue feature, p. 1494

Supplementary materials and methods, as well as supplementary figures S1-S7.

The reversibility of the procancer effects of obesity was interrogated in formerly obese C57BL/6 mice that lost weight via a nonrestricted low-fat diet (LFD) or 3 distinct calorie-restricted (CR) regimens (low-fat CR, Mediterranean-style CR, or intermittent CR). These mice, along with continuously obese mice and lean control mice, were orthotopically injected with E0771 cells, a mouse model of triple-negative breast cancer. Tumor weight, systemic cytokines, and incidence of lung metastases were elevated in the continuously obese and nonrestricted LFD mice relative to the 3 CR groups. Gene expression differed between the obese and all CR groups, but not the nonrestricted LFD group, for numerous tumoral genes associated with epithelial-to-mesenchymal transition as well as several genes in the normal mammary tissue associated with hypoxia, reactive oxygen species production, and p53 signaling. A high degree of concordance existed between differentially expressed mammary tissue genes from obese versus all CR mice and a microarray dataset from overweight/obese women randomized to either no intervention or a CR diet. Assessment of differentially methylated regions in mouse mammary tissues revealed that obesity, relative to the 4 weight loss groups, was associated with significant DNA hypermethylation. However, the anticancer effects of the CR interventions were independent of their ability to reverse obesity-associated mammary epigenetic reprogramming. Taken together, these preclinical data showing that the procancer effects of obesity are reversible by various forms of CR diets strongly support translational exploration of restricted dietary patterns for reducing the burden of obesity-associated cancers.Prevention Relevance:Obesity is an established risk and progression factor for triple-negative breast cancer (TNBC). Given rising global rates of obesity and TNBC, strategies to reduce the burden of obesity-driven TNBC are urgently needed. We report the genomic, epigenetic, and procancer effects of obesity are reversible by various calorie restriction regimens.

XLSX file - 298K, Unique sample IDs allowing TCGA breast and ovarian data sets to be downloaded from CGHub.

Survival outcomes based on the PAM50MET score in the BOLERO-2 trial. (A) Progression-free survival using a predefined cutoff in patients treated with placebo. (B) Progression-free survival using a predefined cutoff in patients treated with everolimus. (C) Overall survival using a predefined cutoff in patients treated with placebo. (D) Overall survival using a predefined cutoff in patients treated with everolimus. Interaction tests between PAM50 and treatment arm for PFS and OS were statistically non-significant (all p-values >0.05). PAM50MET, final model.

Supplementary Data from Integrated DNA and RNA Sequencing Reveals Drivers of Endocrine Resistance in Estrogen Receptor–Positive Breast Cancer

Dataset of 65 tumor samples.

PDF file - 44K

PDF file - 33K, Multivariate survival analysis p values.

Supplementary Figure Legends

Purpose: Response to a complex trastuzumab-based regimen is affected by multiple features of the tumor and its microenvironment. Developing a predictive algorithm is key to optimizing HER2-targeting therapy.Experimental Design: We analyzed 137 pretreatment tumors with mRNA-seq and DNA exome sequencing from CALGB 40601, a neoadjuvant phase III trial of paclitaxel plus trastuzumab with or without lapatinib in stage II to III HER2-positive breast cancer. We adopted an Elastic Net regularized regression approach that controls for covarying features within high-dimensional data. First, we applied 517 known gene expression signatures to develop an Elastic Net model to predict pCR, which we validated on 143 samples from four independent trials. Next, we performed integrative analyses incorporating clinicopathologic information with somatic mutation status, DNA copy number alterations (CNA), and gene signatures.Results: The Elastic Net model using only gene signatures predicted pCR in the validation sets (AUC = 0.76). Integrative analyses showed that models containing gene signatures, clinical features, and DNA information were better pCR predictors than models containing a single data type. Frequently selected variables from the multiplatform models included amplifications of chromosome 6p, TP53 mutation, HER2-enriched subtype, and immune signatures. Variables predicting resistance included Luminal/ER+ features.Conclusions: Models using RNA only, as well as integrated RNA and DNA models, can predict pCR with improved accuracy over clinical variables. Somatic DNA alterations (mutation, CNAs), tumor molecular subtype (HER2E, Luminal), and the microenvironment (immune cells) were independent predictors of response to trastuzumab and paclitaxel-based regimens. This highlights the complexity of predicting response in HER2-positive breast cancer. Clin Cancer Res; 24(21); 5292–304. ©2018 AACR.

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Purpose:In this era of precision-based medicine, for optimal patient care, results reported from commercial next-generation sequencing (NGS) assays should adequately reflect the burden of somatic mutations in the tumor being sequenced. Here, we sought to determine the prevalence of clonal hematopoiesis leading to possible misattribution of tumor mutation calls on unpaired Foundation Medicine NGS assays.Experimental Design:This was a retrospective cohort study of individuals undergoing NGS of solid tumors from two large cancer centers. We identified and quantified mutations in genes known to be frequently altered in clonal hematopoiesis (DNMT3A, TET2, ASXL1, TP53, ATM, CHEK2, SF3B1, CBL, JAK2) that were returned to physicians on clinical Foundation Medicine reports. For a subset of patients, we explored the frequency of true clonal hematopoiesis by comparing mutations on Foundation Medicine reports with matched blood sequencing.Results:Mutations in genes that are frequently altered in clonal hematopoiesis were identified in 65% (1,139/1,757) of patients undergoing NGS. When excluding TP53, which is often mutated in solid tumors, these events were still seen in 35% (619/1,757) of patients. Utilizing paired blood specimens, we were able to confirm that 8% (18/226) of mutations reported in these genes were true clonal hematopoiesis events. The majority of DNMT3A mutations (64%, 7/11) and minority of TP53 mutations (4%, 2/50) were clonal hematopoiesis.Conclusions:Clonal hematopoiesis mutations are commonly reported on unpaired NGS testing. It is important to recognize clonal hematopoiesis as a possible cause of misattribution of mutation origin when applying NGS findings to a patient's care.See related commentary by Pollyea, p. 5790

Purpose: Lymphocytic infiltration of tumors predicts improved survival in patients with breast cancer. Previous studies have suggested that this survival benefit is confined predominantly to the basal-like subtype. Immune infiltration in ovarian tumors is also associated with improved prognosis. Currently, it is unclear what aspects of the immune response mediate this improved outcome.Experimental Design: Using The Cancer Genome Atlas mRNA-seq data and a large microarray dataset, we evaluated adaptive immune gene expression by genomic subtype in breast and ovarian cancer. To investigate B-cells observed to be prognostic within specific subtypes, we developed methods to analyze B-cell population diversity and degree of somatic hypermutation (SHM) from B-cell receptor (BCR) sequences in mRNA-seq data.Results: Improved metastasis-free/progression-free survival was correlated with B-cell gene expression signatures, which were restricted mainly to the basal-like and HER2-enriched breast cancer subtypes and the immunoreactive ovarian cancer subtype. Consistent with a restricted epitope-driven response, a subset of basal-like and HER2-enriched breast tumors and immunoreactive ovarian tumors showed high expression of a low-diversity population of BCR gene segments. More BCR segments showed improved prognosis with increased expression in basal-like breast tumors and immunoreactive ovarian tumors compared with other subtypes. Basal-like and HER2-enriched tumors exhibited more BCR sequence variants in regions consistent with SHM.Conclusion: Taken together, these data suggest the presence of a productive and potentially restricted antitumor B-cell response in basal-like breast and immunoreactive ovarian cancers. Immunomodulatory therapies that support B-cell responses may be a promising therapeutic approach to targeting these B-cell infiltrated tumors. Clin Cancer Res; 20(14); 3818–29. ©2014 AACR.