Abstract PD6-06: Radiomic phenotypes from dynamic contrast-enhanced MRI (DCE-MRI) parametric maps for early prediction of response to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC) patients

Background and Purpose:Early and accurate assessment ofbreast cancer response to NAST is important for patient management. In this study, we investigated the value of radiomic phenotypes derived from semi-quantitative and quantitative DCE-MRI parametric maps for early prediction of NASTresponse in TNBC patients. MATERIALS AND METHODS:This IRB approved study included 74 patients with stage I-III TNBC who were enrolled in the prospective ARTEMIS trial (NCT02276443). Pathologic complete response (pCR) and non-pCR were assessed by surgical histopathology after NAST (pCR=34; non-pCR=40).MRI scans were obtained at 3 time points during the NAST treatment with every 2-week anthracycline-based chemotherapy (AC): at baseline (BSL=74), post-2 cycles of AC (C2= 27) and post-4 cycles of AC (C4= 27). Patients went on to receive taxane-based chemotherapy prior to surgery. Tumor regions of interest (ROIs) were segmented by a breast radiologist at the early-phase subtractions of DCE-MRI scans using in-house developed software, followed by co-registration of the ROIs with quantitative (Ktrans, Veand Kep), and semi-quantitative DCE parametric maps (Maximum Slope Increase (MSI), Positive Enhancement Integral (PEI) and Peak Signal Enhancement Ratio (SER)).A total of 93 first order radiomic features were extracted from the tumor ROIs of each time point semi-quantitative DCE parametric map, while a total of 390 extracted radiomic features (first order-histogram features and second order grey-level-co-occurrence matrix) were extracted from each quantitative DCE parametric map using an in-house developed Matlab software.Radiomic features at each time point and changes between the 3 time points were compared between pCR and non-pCR using Wilcoxon Rank Sum test and Fisher’s exact test. Area under the receiver operating characteristics curve (AUC) was used to determine which features predicted pCR.Logistic regression was performed for feature selection, and used to build the radiomic phenotype model. The model performance was assessed by leave-one-out cross validation and 3-fold cross validation. RESULTS:Thirty-three radiomic features from PEI map were significantly different between pCR and non-pCR. The PEI most significant features were changesbetween BSL and C4 in skewness, mean and median (AUC=0.87, 0.85 and 0.87, p=<0.001, 0.001 and 0.002 respectively). Additionally, 31 MSI features were significantly different between pCR and non-pCR. The top 2 features were the interscan-change in skewness between BSL and C2 (AUC=0.80, P=0.007) and C4 standard deviation (AUC=0.80, P=0.006). Four BSL Veradiomic features were statistically significant between pCR and non-pCR with the best being range of difference variance (AUC=0.64, P=0.03). One BSL Kepfeature (Angular-Variance of Information measure of correlation-2) was able to differentiate pCR from non-pCR (AUC=0.64, P=0.04). Five C4-Ktrans features were able to differentiate pCR and non-pCR, with the most significant being mean value (AUC=0.86, P=0.001). BSL-Kepradiomic model built from 24 features (AUC=0.80, p=0.003) and combined (Ktrans, Veand Kep)C2-radiomic model consisting of 20 features (AUC=0.97, p=0.01) showed the best performance for prediction of pCR. CONCLUSIONS:Radiomic phenotypes form DCE-MRI parametric maps were useful for differentiation between pCR and non-pCR and showed promise as noninvasive imaging biomarkers for early prediction of NAST response in TNBC. Potentially, DCE-MRI radiomic features may be used for development of diagnostic predictive model for early noninvasive assessment of NAST treatment response in TNBC patients.

Citation Format: Nabil Elshafeey, Beatriz E Adrada, Rosalind P Candelaria, Abeer H Abdelhafez, Benjamin C Musall, Jia Sun, Medine Boge, Rania M.M Mohamed, Hagar S Mahmoud, Jong Bum Son, Aikaterini Kotrosou, Shu Zhang, Jessica Leung, Deanna Lane, Marion Scoggins, David Spak, Elsa Arribas, Lumarie Santiago, Gary J. Whitman, Huong T Le-Petross, Tanya W Moseley, Jason B White, Elizabeth Ravenberg, Ken-Pin Hwang, Peng Wei, Jennifer K Litton, Lei Huo, Debu Tripathy, Vicente Valero, Alastair M Thompson, Stacy Moulder, Wei T Yang, Mark D Pagel, Jingfei Ma, Gaiane M Rauch. Radiomic phenotypes from dynamic contrast-enhanced MRI (DCE-MRI) parametric maps for early prediction of response to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC) patients [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD6-06.

Abstract PD6-07: Volumetric changes on longitudinal dynamic contrast enhanced MR imaging (DCE-MRI) as an early treatment response predictor to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC) patients

Background and Purpose:There is currently a lack of recognized imaging criteria for prediction of treatment response to NAST in breast cancer patients with recent reports showing that breast MRI is the most accurate modality for evaluation of NAST response. DCE-MRI evaluates tumor perfusion that influences tumor enhancement at the post-contrast subtraction images and allows for more accurate measurement of changes in tumor volume during NAST. In this study, we evaluated the ability of tumor volumetric changes after 2 and 4 cycles of NAST by longitudinal ultrafast DCE-MRI to predict pathologic complete response (pCR) in TNBC undergoing NAST. Materials and Methods: Stage I-III TNBC patients enrolled in an IRB approved prospective clinical trial (ARTEMIS, NCT02276433) who had ultrafast DCE-MRI at baseline (BL, N=103), post 2 cycles (C2, N=59), and post 4 cycles (C4, N=103) of anthracycline-based NAST,and had surgery, were included in this analysis. Tumor volume was calculated using 3D measurements of the index lesion at BL, C2, and C4. Percent change of tumor volume (%TV) between BL, C2, and C4 was calculated at early (9-12 sec) and delayed (360-480 sec) phases of DCE-MRI. The largest lesion was used for analysis in patients with multicentric or multifocal disease. Demographic, clinical, and pathologic data and treatment response at surgery (pCR versus non-pCR) were documented. Receiver operating characteristics curve (ROC) analysis was performed for prediction of pCR status. Positive predictive value (PPV), negative predictive value (NPV) and Youden Index were used to select %TV cut-off thresholds for pCR prediction.Results: 103 patients (median age, 53 years; range, 24-79 years) were included, 48 (47%) had pCR, and 55 (53%) had non-pCR at surgical pathology. The %TV reduction at C2 DCE-MRI was predictive of pCR on both early phase DCE MRI (AUC, 0.873; CI:0.779-0.968, p < .0001) and delayed phase DCE MRI (AUC, 0.844; CI:0.742-0.947, p < .0001). Optimal thresholds were as follows: 70% TV reduction on early phase DCE MRI with Youden’s index of 1.58 was able to predict pCR correctly for 79% of patients with PPV of 81%; 75% TV reduction on delayed phase with Youden’s Index of 1.44 was able to predict pCR correctly for 71% of patients with PPV of 85%.%TV reduction was also predictive of pCR at the C4 time point on both early phase DCE MRI (AUC, 0.761; CI:0.665-0.856, p < .0001) and delayed phase DCE MRI (AUC, 0.737; CI:0.641-0.833, p < .0001). Optimal thresholds were as follows: 90% TV reduction on early phase DCE MRI with Youden’s index of 1.43 was able to correctly predict pCR in 72% of patients with PPV of 70%; and 90% TV reduction on delayed phase with Youden’s Index of 1.34 was able to predict pCR correctly in 68% of patients with PPV of 71%.Conclusion: Our data shows that percent tumor volume reduction by DCE-MRI after 2 and 4 cycles of NAST was able to predict pCR in TNBC with high accuracy and can be used as an early imaging biomarker of NAST response prediction. Volumetric changes by longitudinal DCE-MRI can be used to differentiate chemoresistant and chemosensitive TNBC patients as early as after 2 cycles of NAST, and can help to triage patients for treatment de-escalation or targeted therapy.

Citation Format: Gaiane Margishvili Rauch, Adrada E Beatriz, Rosalind P Candelaria, Nabil Elshafeey, Abeer H Abdelhafez, Benjamin C Musall, Jia Sun, Medina Boge, Rania M.M Mohamed, Jong Bum Son, Shu Zhang, Jessica Leung, Deanna Lane, Marion Scoggins, David Spak, Elsa Arribas, Lumarie Santiago, Gary J Whitman, Huong T. Le-Petross, Tanya W Moseley, Jason B. White, Elizabeth Ravenberg, Ken-Pin Hwang, Peng Wei, Lei Huo, Jennifer K Litton, Vicente Valero, Debu Tripathy, Alastair M Thompson, Mark D Pagel, Jingfei Ma, Wei T Yang, Stacy Moulder. Volumetric changes on longitudinal dynamic contrast enhanced MR imaging (DCE-MRI) as an early treatment response predictor to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC) patients [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD6-07.

Abstract PS4-05: Prospective evaluation of the gut microbiome and response to neoadjuvant therapy (NAT) in early-stage triple negative breast cancer (TNBC)

Introduction: Emerging data suggest that the gut microbial composition influences responses to chemotherapy and immunotherapy. However, similar data in patients with TNBC receiving NAT remains limited. Thus, we investigated the association between the gut microbial composition in patients with newly-diagnosed, early-stage TNBC and response to NAT in a cohort of patients enrolled in the ARTEMIS trial (NCT02276443). Methods: We performed 16S sequencing on bacterial genomic DNA extracted from pre-NAT fecal samples using the 2x250 bp paired-end read protocol. Quality-filtered sequences were clustered into Operational Taxonomic Units and classified using Mothur method with the Silva database version 128. Associations between abundance and pathologic response to NAT were assessed using the Mann Whitney U Test. A cohort of 32 patients had longitudinal samples collected. Mann-Whitney U Test and Fishers exact were used to compare clinical variables as appropriate between the pCR and non-pCR groups. Results: There was no significant difference in age, race or stage between the pCR and non-pCR groups (Table 1). As expected, the pCR group was enriched for high TIL (p=0.026). There was no difference in alpha-diversity of the gut microbiome between patients with NAT-sensitive (pCR) and NAT-resistant disease (non-pCR) (p=0.5). Relative to patients with NAT-sensitive disease (pCR), the gut microbiome in patients with NAT-resistant disease was enriched for Fusobacterium (p=0.009), Intestinimonas (p=0.01) and Lachnospiraceae (p=0.003) at the genus level; the median abundances between pCR and non-pCR are provided in Table 1. Longitudinal samples collected during NAT demonstrated no substantial impact of NAT on the gut microbiome.

Conclusions: Taken together, these data suggest that response to NAT may be influenced by the gut microbial composition, which remains unaltered during NAT. Research efforts to modulate the gut microbiome should be further explored as a potential therapeutic strategy in TNBC.

Table 1: Median Microbial Abundance and Clinicopathological Variables (N=43)pCR (n=18)Non-pCR (n=25)p- valueMicrobial AbundanceFusobacterium1 x 10-61.02 x 10-50.009Intestinimonas6.4 x 10-54.8 x 10-40.01Lachnospiraceae6.2 x 10-31.0 x 10-20.003Age median, interquartile range (n=44)45 (38-59)53 (46-58)0.61n (%)Race/EthnicityWhite, non-Hispanic11 (61.1)14 (56.0)0.53White, Hispanic4 (22.2)3 (12.0)Black2 (11.1)7 (28.0)Asian1 (5.6)1 (4.0)T categoryT15 (27.8)4 (16.0)0.15T213 (72.2)17 (68.0)T304 (16.0)T400Nodal statusNegative12 (66.7)14 (56.0)0.54Positive6 (33.3)11 (44.0)StageI3 (16.7)3 (12.0)0.91II11 (61.1)15 (60.0)III4 (22.2)7 (28.0)TIL<20%7 (38.9)19 (76.0)0.026>20%11 (61.1)6 (24.0)

Citation Format: Nour Abuhadra, Chia-Chi Chang, Clinton Yam, Ryan Sun, Lei Huo, Jason White, Elizabeth E Ravenberg, Jennifer Litton, Bora Lim, Naoto T Ueno, Banu Arun, Debu Tripathy, Senthil Damodaran, Rashmi Murthy, Vicente Valero, Gabriel Hortobagyi, Nuhad Ibrahim, Alastair Thompson, Elizabeth Mittendorf, Stacy Moulder, Robert Jenq. Prospective evaluation of the gut microbiome and response to neoadjuvant therapy (NAT) in early-stage triple negative breast cancer (TNBC) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS4-05.

Prognostic Nomogram for Sorafenib Benefit in Hepatitis B Virus-Related Hepatocellular Carcinoma After Partial Hepatectomy

Background

Predicting the long-term prognosis of individuals who experienced sorafenib treatment following partial hepatectomy due to hepatitis B virus (HBV) related hepatocellular carcinoma (HCC) is difficult. This work aims to create an effective prognostic nomogram for HBV related HCC patients who are receiving sorafenib treatment as adjuvant therapy after surgery.

Methods

A total of 233 HBV-related HCC patients treated with or without sorafenib following partial hepatectomy at the Eastern Hepatobiliary Surgery Hospital from 2008 to 2013 were matched with propensity score matching analysis. The optimal cut-off point of the overall survival (OS) factor level was determined by x-tile. The selection of indicators was based on clinical findings. The Cox regression model with an interaction term was employed for evaluating the predictive value. Using a multivariate Cox proportional hazards model, a nomogram was subsequently formulated to analyze 111 patients treated with sorafenib. The nomogram's discriminative ability and predictive accuracy were determined using the concordance index (C-index), calibration, and ROC curve.

Results

The matched sorafenib cohort of 111 patients and control cohort of 118 patients were analyzed. Subgroup analysis revealed that low GPC3, pERK, pAKT, serum AFP levels, without MVI, under 50 years old, male, TNM stage I/II and BCLC stage 0/A were significantly associated with a better OS in patients subjected to sorafenib treatment compared to those without sorafenib treatment after surgery. Multivariate analysis of the sorafenib cohort revealed GPC3, pERK, pAKT, serum AST, and BCLC stage as independent factors for OS, and all were included in the nomogram. The survival probability based on the calibration curve showed that the prediction of the nomogram was in good agreement with the actual observation. The C-index of the nomogram for predicting survival was 0.73(95% CI, 0.67-0.78). The area under the ROC curve (AUC) for the nomogram to predict the survival for 1, 3, and 5-year was 0.726, 0.816, and 0.823, respectively.

Conclusion

This proposed nomogram shows the potential to make a precise prediction regarding the prognosis of HBV-related HCC patients and may help to stratify patients for personalized therapy following partial hepatectomy.

Validation of prognostic significance of the proposed uniform classification framework in neuroendocrine neoplasms of the breast

PURPOSE

A uniform classification framework for neuroendocrine neoplasms (NENs) in all the organ systems has been recently proposed by an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert panel. Based on the new classification system, the NENs of the breast are divided into well-differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). This study is aimed to analysis the prognostic differences between NENs and invasive ductal carcinomas of no special type (IDCs-NST).

METHODS

The surveillance, epidemiology, and end results (SEER) database released on November 2018 was used for this study. Between 2003 and 2016, 361 NENs (NET = 239, NEC = 122) of the breast and 491,908 of IDCs-NST were identified. Survival analysis was performed for disease-specific survival (DSS) and overall survival (OS).

RESULTS

The 5-year DSS of NET, NEC, and IDC-NST was 63.39%, 46.00%, and 89.17%, respectively. And the 5-year OS of NET, NEC, and IDC-NST was 55.66%, 38.87%, and 83.17%, respectively. Within the same clinical stage or grade, NETs and NECs of the breast had worse DSS and OS than corresponding stage or grade IDCs-NST (all P < 0.050). In univariate and multivariate survival analysis, NENs of the breast had significantly worse DSS and OS than IDCs-NST (P < 0.001).

CONCLUSION

The universal classification framework for NEN allowed us to further refine the breast carcinoma with neuroendocrine differentiation as a unique pathologic and clinical entity, which has worse clinical outcome compared to IDC-NST.

YTHDF3 Induces the Translation of m6A-Enriched Gene Transcripts to Promote Breast Cancer Brain Metastasis

Brain metastasis is a major cause of cancer mortality, but its molecular mechanisms are severely understudied. In addition, little is known regarding the role of m⁶A reader YTHDF3 in human diseases. Here, we show that YTHDF3 overexpression clinically correlates with brain metastases in breast cancer patients. YTHDF3 promotes cancer cell interactions with brain endothelial cells and astrocytes, blood-brain barrier extravasation, angiogenesis, and outgrow. Mechanistically, YTHDF3 enhances the translation of m⁶A-enriched transcripts for ST6GALNAC5, GJA1, and EGFR, all associated with brain metastasis. Furthermore, overexpression of YTHDF3 in brain metastases is attributed to increased gene copy number and the autoregulation of YTHDF3 cap-independent translation by binding to m⁶A residues within its own 5' UTR. Our work uncovers an essential role of YTHDF3 in controlling the interaction between cancer cells and brain microenvironment, thereby inducing brain metastatic competence.

Comparison of three FDA-approved diagnostic immunohistochemistry assays of PD-L1 in triple-negative breast carcinoma

The Dako 28-8, Dako 22C3, and Ventana SP142 assays are among the approved programmed death ligand 1 (PD-L1) immunohistochemical companion/complementary diagnostics associated with cancer treatment. To address the concordance of these assays in triple-negative breast cancer (TNBC), we examined PD-L1 expression in 98 TNBC tumors and compared the positive rates using the three assays and three scoring methods: immune cell (IC), tumor cell (TC), and combined tumor cell and immune cell (TCIC) (an equivalent to combined positive score, or CPS). The positive rate for PD-L1 expression with a 1% cutoff was highest with 28-8, followed by the 22C3. These two assays demonstrated almost perfect or substantial agreement in all three scores. There was less agreement between SP142 and the other assays. Using the IC score or the TCIC score at a 1% cutoff (CPS 1), 4% of tumors were positive for PD-L1 with SP142 but negative with the other assays. Using SP142 with a 1% cutoff as a reference, the optimal cutoff for best agreement was at 1% for IC, 30% for TC, and 2% for TCIC (CPS 2) with the other two assays. A 2% cutoff for the 22C3 TCIC (CPS 2) yielded the best agreement with SP142 1% IC cutoff (kappa 0.65). Our study showed the lowest positive rate with SP142 among the three assays. However, the other two assays were not able to identify all tumors that would test positive with SP142 using IC or TCIC/CPS. It is unlikely to achieve high agreement between SP142 and the other two assays by changing the analytical cutoffs.

A phase II study of Mirvetuximab Soravtansine in triple-negative breast cancer

Folate receptor alpha (FRα) has been reported to be expressed in up to 80% of triple-negative breast cancers (TNBC) with limited expression in normal tissues, making it a promising therapeutic target. Mirvetuximab soravtansine (mirvetuximab-s) is an antibody drug conjugate which has shown promise in the treatment of FRα-positive solid tumors in early phase clinical trials. Herein, are the results of the first prospective phase II trial evaluating mirvetuximab-s in metastatic TNBC. Patients with advanced, FRα-positive TNBC were enrolled on this study. Mirvetuximab-s was administered at a dose of 6.0 mg/kg every 3 weeks. 96 patients with advanced TNBC consented for screening. FRα staining was performed on tumor tissue obtained from 80 patients. The rate of FRα positivity by immunohistochemistry was 10.0% (8/80). Two patients were treated on study, with best overall responses of stable disease in one and progressive disease in the other. Adverse events were consistent with earlier studies. The study was terminated early due to the low rate of FRα positivity in the screened patient population and lack of disease response in the two patients treated. The observed rate of FRα positivity was considerably lower than previously reported and none of the patients had a partial or complete response. Treatment with mirvetuximab-s should only be further explored in TNBC if an alternate biomarker strategy is developed for patient selection on the basis of additional preclinical data.

miRNA-182 regulated MTSS1 inhibits proliferation and invasion in Glioma Cells

Human glioma is the most common malignant and fatal primary tumor in the central nervous system. Currently, the high incidence and low cure rate of glioma make it a considerable threat to human health. Thus, elucidating the molecular mechanisms of glioma development and progression has become a major focus to identify new and effective biomarkers and improve the comprehensive neurosurgical treatment of glioma from the basic research and clinical perspectives. In our present study, we aimed to investigate the expression pattern and biological function of Metastasis suppressor protein 1(MTSS1) in glioma and to further explore whether miRNAs were involved in the deregulation of MTSS1. By overexpressing MTSS1 in highly malignant human glioma cells, we discovered a role for MTSS1 in suppressing the proliferation and invasion of glioma cells, and we showed that MTSS1 participated in transforming growth factor-beta 1 (TGF-β1) -induced epithelial-mesenchymal transition (EMT) in glioma cells. Biochemical analyses suggested that miR-182 may target MTSS1 and that miR-182 expression is negatively correlated with MTSS1 expression in glioma tissues. This finding was further confirmed by luciferase reporter experiments. Furthermore, a miR-182 inhibitor induced glioma cell proliferation and invasion by increasing MTSS1 expression. In conclusion, we believed that miR-182 modulates glioma cell migration and invasion by targeting the MTSS1 and suggested that miR-182 was a potential therapeutic target for gliomas.

Abstract 1497: Longitudinal response and selection under neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC): Profiling results from a randomized trial (ARTEMIS; NCT02276443)

Background: The heterogeneity of TNBC results in a spectrum of responses to NAST: 30-40% of patients (pts) have a pathologic complete response (pCR) with an excellent prognosis. Several methods have been used to measure and evaluate residual disease, including ultrasound, MRI scans, histo-pathology. In addition to these, we hypothesize that comprehensive molecular profiling of longitudinal biopsies, with an integrative evaluation of sub-clonal selection and changes in molecular pathways, will serve as a critical biomarker for chemotherapy, and subsequent targeted therapy trials.

Methods: Pts with stage I-III TNBC began a planned 4 cycles of Adriamycin-based chemo (AC). Biopsies were performed pre (mandatory) and post (optional) AC. Volumetric change by ultrasound (VUS) at completion of AC (or progression) was calculated. Pts with sensitive disease received subsequent taxane-based (T) therapy. Pts with insensitive disease were offered phase II trials. Pathologic response was assessed at surgical resection in 85 pts (Training N=55, Validation N=30). Matched samples, pre and post AC (N = 85 pts) underwent transcriptomic and genomic profiling. Samples were classified into six previously identified ARTEMIS subtypes of TNBC (ART-Type) and immune deconvolution and estimation were performed using RNA-Seq profiles. Multiplex IHC using the Vectra platform is being used to validate results from bulk RNASeq experiments. Somatic mutations and copy-number changes were evaluated using, Mutect2, Sequenza (and FACETs), and PhyloWGS (and PyClone).

Results: Predominately, tumors reacted to AC in 4 different patterns with variation in immune and EMT related pathways. Enrichment of EMT (Group 4) was associated with poor prognosis and higher RCB (10.3% vs 42% pCR rates, p&lt;0.05). The global changes in transcription led to ART-Type switching in all subtypes (44% of pts), except LAR subtype. This subtype was enriched in Group 3 (low overall change), and associated with PIK3CA mutations. MYC amplification was more prevalent (40%) in Group 4, associated with higher EMT and poor prognosis than other groups (28%). Multiple time points were leveraged to constrain sub-clonal clustering and enhance the accuracy of phylogenetic tree construction. Significant sub-clonal selection was detected in 22% of evaluable cases with pre and post biopsies (N=55), with analysis of the validation cohort underway. Molecular subtypes were marginally associated with overall and progression-free survival.

Conclusions: Molecular profiling of longitudinal TNBC samples reveals distinct response patterns in tumors and their micro-environments upon treatment with AC. Integrative analysis of genomic and transcriptomic changes can lead to better stratification of response to NAST. These patterns were indicative of pathologic response in the initial cohort (N=55). Analysis of the second cohort (N=30) will be presented as a validation cohort.

Citation Format: Sahil Seth, Lei Huo, Gaiane M. Rauch, Beatriz Adrada, Helen Piwnica-Worms, Bora Lim, Alastair M. Thompson, Elizabeth A. Mittendorf, Timothy Heffernan, Jennifer K. Litton, William F. Symmans, Giulio F. Draetta, Andrew P. Futreal, Jeffrey T. Chang, Stacy L. Moulder. Longitudinal response and selection under neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC): Profiling results from a randomized trial (ARTEMIS; NCT02276443) [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1497.

Arterial hyperenhancement of small intrahepatic cholangiocarcinomas correlates with microvessel counts and patient survival

BACKGROUND

To compare outcomes of patients with arterially hyperenhancing intrahepatic cholangiocarcinomas (ICC) and arterially hypoenhancing ICCs after partial hepatectomy in a cohort with an analysis of prognostic factors.

METHODS

From June 2009 to October 2011, a prospective cohort of 68 patients with single resectable ICCs (≤5 cm in diameter) underwent gadolinium contrast-enhanced dynamic-phase magnetic resonance imaging and were treated with partial hepatectomy. Patients were divided into those with arterially hyperenhancing ICCs (n = 28) or arterially hypoenhancing ICCs (n = 40). Clinic-radiologic-pathologic results and survival of these patients were compared and statistically analyzed.

RESULTS

The median overall survival (OS) time was significantly longer in the arterially hyperenhancing ICCs (56.8 vs. 37.0 months) (p = 0.044). At pathologic evaluation, arterially hyperenhancing ICCs showed significantly higher microvessel count (MVC) than arterially hypoenhancing ICCs (106.2 ± 47.5 vs. 46.9 ± 21.6/mm², p = 0.001). Arterial enhancement of ICCs was found to be an independent prognostic factor for longer survival.

CONCLUSION

The presence of arterially hyperenhancing ICCs is related to higher MVC and exhibit a better OS time than arterially hypoenhancing ICCs after partial hepatectomy.

Comparison of three scoring methods using the FDA-approved 22C3 immunohistochemistry assay to evaluate PD-L1 expression in breast cancer and their association with clinicopathologic factors

BACKGROUND

In the evaluation of PD-L1 expression to select patients for anti-PD-1/PD-L1 treatment, uniform guidelines that account for different immunohistochemistry assays, different cell types and different cutoff values across tumor types are lacking. Data on how different scoring methods compare in breast cancer are scant.

METHODS

Using FDA-approved 22C3 diagnostic immunohistochemistry assay, we retrospectively evaluated PD-L1 expression in 496 primary invasive breast tumors that were not exposed to anti-PD-1/PD-L1 treatment and compared three scoring methods (TC: invasive tumor cells; IC: tumor-infiltrating immune cells; TCIC: a combination of tumor cells and immune cells) in expression frequency and association with clinicopathologic factors.

RESULTS

In the entire cohort, positive PD-L1 expression was observed in 20% of patients by TCIC, 16% by IC, and 10% by TC, with a concordance of 87% between the three methods. In the triple-negative breast cancer patients, positive PD-L1 expression was observed in 35% by TCIC, 31% by IC, and 16% by TC, with a concordance of 76%. Associations between PD-L1 and clinicopathologic factors were investigated according to receptor groups and whether the patients had received neoadjuvant chemotherapy. The three scoring methods showed differences in their associations with clinicopathologic factors in all subgroups studied. Positive PD-L1 expression by IC was significantly associated with worse overall survival in patients with neoadjuvant chemotherapy and showed a trend for worse overall survival and distant metastasis-free survival in triple-negative patients with neoadjuvant chemotherapy. Positive PD-L1 expression by TCIC and TC also showed trends for worse survival in different subgroups.

CONCLUSIONS

Our findings indicate that the three scoring methods with a 1% cutoff are different in their sensitivity for PD-L1 expression and their associations with clinicopathologic factors. Scoring by TCIC is the most sensitive way to identify PD-L1-positive breast cancer by immunohistochemistry. As a prognostic marker, our study suggests that PD-L1 is associated with worse clinical outcome, most often shown by the IC score; however, the other scores may also have clinical implications in some subgroups. Large clinical trials are needed to test the similarities and differences of these scoring methods for their predictive values in anti-PD-1/PD-L1 therapy.

Diffuse alveolar hemorrhage with nivolumab monotherapy

We describe a 60 year old man who developed respiratory insufficiency after treatment with 2 rounds of nivolumab monotherapy. Imaging revealed subtle ground glass infiltrates which progressed to diffuse opacities and consolidation. The patient was treated with high dose corticosteroids, empiric antimicrobial therapy and infliximab. Bronchoscopy with lavage revealed negative cultures and progressive bloody aliquots of fluid consistent with diffuse alveolar hemorrhage. The patient succumbed to respiratory failure. An autopsy study confirmed extensive alveolar hemorrhage. Our reports highlights clinical and diagnostic findings with immunotherapy-induced pneumonitis.

Prognostic impact of high stromal tumor-infiltrating lymphocytes (sTIL) in the absence of pathologic complete response (pCR) to neoadjuvant therapy (NAT) in early stage triple negative breast cancer (TNBC)

583

Background: Pathologic complete response is an excellent surrogate for disease-free survival (DFS) and overall survival (OS) in TNBC. High sTIL is associated with improved pCR rates in TNBC. Recent data suggest that high sTIL is also associated with improved outcomes in patients who received no chemotherapy for early stage TNBC (Park, Annals of Oncology, 2019). Thus, we hypothesized that high sTIL may have prognostic impact in patients who do not achieve pCR to NAT. Methods: Pretreatment core biopsies from 182 patients with early-stage TNBC enrolled on the ARTEMIS trial (NCT02276443) were evaluated for sTIL by H&E. Patients were stratified according to sTIL (low < 30%, and high > 30%) and pCR (patients with pCR vs. no pCR). The primary outcome measure was DFS, defined from the date of diagnosis to the first local recurrence, distant metastases or death. Cox proportional hazards regression model was used. During follow-up 33 events for DFS were observed. Results: Among subjects who achieve pCR, DFS was excellent regardless of sTIL status and significantly better than those without pCR (p < 0.05). However, patients with high sTIL and no pCR demonstrated significantly worse DFS compared to all subjects having pCR (HR 0.18, 95% CI 0.04-0.76, p = 0.02). Additionally, we did not find a significant difference between high and low sTIL patients who did not achieve pCR. Conclusions: In early TNBC receiving NAT, for patients failing to achieve pCR, high sTIL was not associated with improved DFS; outcomes were comparable to those with low sTIL without pCR. Thus, high sTIL at baseline does not appear to confer an intrinsic prognostic benefit in the absence of pCR.

Statistical modeling of a novel clinical trial design using neoadjuvant therapy (NAT) to personalize therapy in patients (pts) with triple-negative breast cancer (TNBC)

595

Background: 40-50% of pts with TNBC develop pathologic complete response (pCR) with adriamycin/cyclophosphamide (AC)àtaxane (T) NAT; thus, most pts treated in randomized trials (RCTs) adding experimental drugs (ED) to standard NAT do not benefit from trial participation. A personalized trial design that enriches for non-pCR to standard NAT would diminish toxicity from ED in pts who do not need them and enrich ED in high-risk pts that are most likely to benefit. Methods: ARTEMIS (NCT02276443) is a non-randomized trial to study personalization of NAT in TNBC. Tumor biopsies were performed pre-NAT and volumetric change by ultrasound (VCU) after 4 cycles of AC (or upon clinical progression) assessed response. Pts with sensitive TNBC (VCU >=70% after AC) had T as the second phase of NAT. Pts with <70% VCU were offered phase II trials. pCR was assessed at surgical resection. 273 pts had available pCR status and 222 had complete data to generate a model predictive of response using multivariate logistic regression with common clinical factors. Data was randomly divided into training (n=111) and validation (n=111) sets. Results: 85 pts (38%) had pCR and VCU after AC x 4 was the strongest predictor of pCR. Other factors significant on multivariate analysis and included in the model were T stage (T1-4), stromal TIL, Ki67 and PD-L1. When applied to the validation data set, the accuracy of this model for predicting pCR was 76.6%, sensitivity 78.6% and specificity 75.4%. The PPV was 66.0% and the NPV was 85.2% with a ROC curve AUC of 82.4%. Using these data, ED exposure (table) was estimated for the ARTEMIS study design vs a 1:1 or a 2:1 RCT design (with an estimated pCR in control arm=40%), with a demonstrated benefit for personalization. Conclusions: This modeling indicates that personalization of NAT trials has the potential to enrich ED exposure for non-responsive disease as well as diminish ED exposure in pts likely to achieve pCR with standard NAT. Improved prediction of pCR would further enhance personalized trial design. Clinical trial information: NCT02276443 . [Table: see text]

Comprehensive profiling of androgen receptor-positive (AR+) triple-negative breast cancer (TNBC) patients (pts) treated with standard neoadjuvant therapy (NAT) +/- enzalutamide

517

Background: The luminal androgen receptor (LAR) subtype of TNBC has a low pathologic complete response (pCR) rate after NAT. We determined the pCR rate of the enzalutamide and paclitaxel (ZT) regimen for pts with anthracycline-insensitive AR+ TNBC (NCT02689427), and related biomarkers. Methods: ARTEMIS (NCT02276443) is a non-randomized trial to determine if NAT can be used to personalized therapy. Pts received 4 cycles of doxorubicin-based NAT (AC). Pts with insensitive disease by imaging were offered clinical trials as the second phase of NAT based upon molecular profiling of pre-treatment biopsies. Immunohistochemistry (IHC) of AR+≥10% was the threshold for selecting ZT (enzalutamide 160 or 120 mg PO qD + paclitaxel 80 mg/m2 qW for 12 cycles). pCR was determined by surgery after NAT. Trial had two-stage Phase II design, and we report the completed first stage. We evaluated the concordance between Vanderbilt LAR subtype by molecular profiling (microarray and RNAseq) and IHC %AR+ cells. Frequency of PI3K pathway alterations within the LAR subtype was assessed. Results: 267 pts had tumors profiled by IHC, 220 by microarray, 187 by RNAseq and 197 by whole exome sequencing. 96 pts had post-AC RNAseq. LAR scores from both RNAseq and microarray profiling (n = 139) were highly concordant (R = 0.89, P < 0.001) and identified ~10% of TNBCs tested as LAR. The %AR+ cells from IHC correlated with LAR subtype scores according to RNAseq (R = 0.6, P < 0.001), with a cut-point of ≥30% AR+ having the best concordance with LAR subtype. Unlike other subtypes, by serial profiling, LAR TNBCs did not change subtype signatures after exposure to AC. LAR TNBCs had low rates of pCR (23%) and high rates of PI3K pathway activating aberrations (85%); however PI3K aberrations did not correlate with pCR. Seventeen patients with AC-insensitive TNBC received ZT. Five of 15 patients (33.3%) had responses (pCR or RCB-I). Toxicities are Grade (Gr) 4 syncope (n = 1), Gr3 abnormal liver function (n = 2), Gr3 neutropenia (n = 4). IHC & LAR subtype scores did not statistically associate with response to ZT (P = 0.8, P = 0.9). However, all responders to ZT had an upregulated androgen response pathway (ssGSEA Z > 1) as measured by transcriptomic analysis in pre-treatment biopsies analysis (P = 0.05, ppv = 0.56, npv = 1). Conclusions: The LAR TNBC subtype has a low pCR rate to NAT. Among pts with AC-insensitive TNBC, baseline upregulated androgen response pathway and LAR subtype may benefit from the ZT regimen, potentially by PI3K targeting. Clinical trial information: NCT02689427 .

Immune phenotype and response to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC)

509

Background: In TNBC patients (pts) receiving NAST, increasing tumor infiltrating lymphocytes (TILs) is associated with higher pathologic complete response (pCR) rates. However, since the presence of TIL do not consistently predict pCR, the current study was undertaken to more fully characterize the immune cell response and its association with pCR. Methods: T cell receptor (TCR) sequencing, PD-L1 immunohistochemistry and multiplex immunofluorescence were performed on prospectively collected pre-NAST tumor samples from 98 pts with stage I-III TNBC enrolled in ARTEMIS (NCT: 02276443). TCR clonality was calculated using Shannon’s entropy. PD-L1+ was defined as ≥1% immune cell staining. Response to NAST was defined using the residual cancer burden (RCB) index. Associations between TCR clonality, immune phenotype, and response were examined with the Wilcoxon rank sum test, Spearman’s rank correlation and multivariable logistic regression using stepwise elimination (threshold p > 0.2), as appropriate. Results: The pCR rate was 39% (38/98). pCR was associated with higher TCR clonality (median = 0.2 [in pts with pCR] vs 0.1 [in pts with residual disease], p = 0.05). Notably, the association between pCR and higher TCR clonality was observed in pts with ≥5% TIL (n = 61; p = 0.05) but not in pts with < 5% TIL (n = 37; p = 0.87). Among pts with ≥5% TIL, TCR clonality emerged as the only independent predictor of response in a multivariable model of tumor immune characteristics (odds ratio/0.1 increase in TCR clonality: 3.0, p = 0.021). PD-L1+ status was associated with higher TCR clonality (median = 0.2 [in PD-L1+] vs 0.1 [in PD-L1-], p = 0.004). Higher TCR clonality was associated with higher CD3+ (rho = 0.32, p = 0.0018) and CD3+CD8+ (rho = 0.33, p = 0.0013) infiltration but lower expression of PD-1 on CD3+ (rho = -0.24, p = 0.021) and CD3+CD8+ cells (rho = -0.21, p = 0.037). Conclusions: In TNBC, a more clonal T cell population is associated with an immunologically active microenvironment (higher CD3+ and CD3/8+ T cell; lower PD-1+CD3+ and PD-1+CD3/8+ T cell; PD-L1+) and favorable response to NAST, especially in pts with ≥5% TIL, suggesting a role for deep immune phenotyping in further refining the predictive value of TILs.

Incidence of PI3K pathway alteration and response to neoadjuvant therapy (NAT) in triple negative breast cancer (TNBC) subtypes

561

Background: Limited cell line and human data suggest that TNBCs characterized as mesenchymal and luminal androgen receptor (LAR) commonly have alterations in the PI3K pathway. More data is needed to better characterize the role of the PI3K pathway across TNBC subtypes. Methods: Pre-treatment tumor biopsies were collected from operable TNBC patients (pts) enrolled on a clinical trial of genomically tailored NAT (ARTEMIS; NCT02276443). Tumors were categorized into 5 groups using the Pietenpol criteria: basal-like (BL) comprised of BL-1 and BL-2, mesenchymal and mesenchymal stem-like (M), immunomodulatory (IM), LAR, or unspecified (UNS). Using whole exome sequencing data, variants (single nucleotide polymorphisms and insertions/deletions) and copy number variations (CNVs) were identified in 32 genes known to activate the PI3K pathway. Results: Tumor subtyping and pathologic response to NAT was available in 127 pts (clinical stage I: 9; II: 84; III: 34). PI3K pathway alteration defined as a variant in one of the evaluated genes and/or deletion of PTEN was seen in 76 (60%) tumors. The most frequent alterations were: PTEN deletion (21%), PIK3CA variant (11%), and PIK3R1 variant (8%). PI3K alteration and residual cancer burden (RCB) rates across TNBC subtypes are shown in the table. There was a significant difference in pathologic complete response (pCR)/RCB 0 rate after NAT across TNBC subtypes (chi2 test; P = 0.02). There was a significant difference in the incidence of PI3K pathway alteration across TNBC subtypes (chi2 test; P < 0.01). Overall, the presence of PI3K alteration was not associated with pCR (Fisher exact test; P = 0.85). Pts with M tumors had a higher rate of substantial residual disease (RCB II-III) after NAT. Presence of PI3K pathway alteration was common in the M subtype and associated with RCB II-III (82% in PI3K-altered vs 33% in wild-type tumors; Fisher exact test; P = 0.02). Presence of PI3K pathway alteration was common but not associated with response in the LAR subtype. Conclusions: The incidence of PI3K pathway alteration varied by TNBC subtype but was not associated with pathologic response to NAT with the exception of increased substantial residual disease (RCB II-III) in the M subtype. [Table: see text]

SNHG7 Facilitates Hepatocellular Carcinoma Occurrence by Sequestering miR-9-5p to Upregulate CNNM1 Expression

Background: Hepatocellular carcinoma (HCC), the fourth leading cause of cancer-related deaths worldwide, has increased public concern. Data from previous work have validated that long noncoding RNAs are active participators in the malignant processes of a host of cancers. Small nucleolar RNA host gene 7 (SNHG7) has been revealed to act as a tumor promoter in several cancers and SNHG7 inhibition was revealed to suppress cell invasion in HCC. Nevertheless, the specific role of SNHG7 in HCC deserves deeper exploration. Aim of the Study: This work aimed to uncover the role and the regulatory mechanisms of SNHG7 in HCC. Materials and Methods: The expression of SNHG7 and cyclin mediator 1 (CNNM1) in HCC cells were analyzed by quantitative real-time polymerase chain reaction. The influences of SNHG7 on HCC occurrence were studied by cell counting kit-8 (CCK-8), colony formation, flow cytometry analysis, and Western blot assays. Luciferase reporter assay or RNA immunoprecipitation assay was conducted to confirm the relationship between miR-9-5p and SNHG7 (or CNNM1). Results: SNHG7 was overexpressed in HCC tissues and cell lines. SNHG7 facilitated cell proliferation, while suppressed cell apoptosis in HCC. Moreover, miR-9-5p expression was negatively modulated by SNHG7 and therefore was downregulated in HCC cells. We also found that CNNM1 existed in miR-9-5p induced RNA-induced silencing complex and a series of assays verified that CNNM1 acted as the target gene of miR-9-5p. Consequently, the messenger RNA and protein level of CNNM1 were detected to be inversely regulated by miR-9-5p. Moreover, rescue assays demonstrated that CNNM1 overexpression could countervail the SNHG7 depletion-mediated cellular functions of HCC cells. Conclusions: SNHG7 sponges miR-9-5p to upregulate CNNM1 in promoting HCC progression.

Abstract P2-16-09: Residual cancer burden in patients with early stage triple negative breast cancer who progress on anthracycline-based neoadjuvant chemotherapy in an ongoing clinical trial (ARTEMIS)

BACKGROUND: Current treatment for early stage triple negative breast cancer (TNBC) includes neoadjuvant systemic chemotherapy (NAST), which is used to assess disease biology and the need for adjuvant treatment in case of residual disease at the time of surgery, also known as residual cancer burden (RCB). Patients with TNBC who experience RCB-0 (pathologic complete response [pCR]) or RCB-I after NAST have an excellent prognosis whereas patients with significant residual disease (RCB-II or RCB-III) are at a high risk of relapse. Standard NAST for TNBC achieves pCR in 30-50% of cases. NAST typically consists of anthracycline-based chemotherapy followed or preceded by a taxane +/- carboplatin. Disease progression (PD) is uncommon in TNBC patients receiving NAST and little is known regarding outcomes in patients who have PD during the initial phase of NAST. METHODS: Total 316 TNBC patients were evaluated from two prospectively accrued clinical trials of NAST (NCT02276443 and NCT01334021). The ARTEMIS trial (NCT02276443) aims to improve pCR rates by adding targeted therapy to chemotherapy as the second phase of NAST for those patients who do not experience at least a 70% volumetric reduction after 4 cycles of doxorubicin/cyclophosphamide (AC). Unique histopathologic features including % stromal tumor-infiltrating lymphocytes (sTIL), presence of mesenchymal histology (high vimentin expression by IHC), and androgen receptor expression are used to guide second phase therapy. RESULTS: 31 TNBC patients had PD while receiving AC as the first phase of NAST (10%; 95% CI= 6.69-13.31%). 9 of 31 patients proceeded to standard chemotherapy and all had RCB II/III disease. 22 of 31 patients were enrolled to targeted therapy trials. 6 were treated with the EGFR inhibitor panitumumab + carboplatin/paclitaxel, 9 with atezolizumab + nab-paclitaxel, and 7 with everolimus, bevacizumab, and liposomal doxorubicin (DAE). Of these 22 patients, 3 (13.6%) had pCR/RCB-0, 1 (4.5%) RCB-I and 18 (81.8%) had RCB II/III. All 4 patients who experienced RCB-0/I had T2N0 disease at diagnosis. 2 had sTIL &lt; 5% and 2 patients had 70% sTIL. CONCLUSION: PD is uncommon while receiving NAST. Patients with TNBC and progression on initial NAST with AC are unlikely to achieve pCR or RCB-I status despite subsequent standard chemotherapy. Combination chemotherapy with targeted therapy on clinical trial resulted in a numerically higher rate of pCR+RCB-I (18%) as salvage therapy, but this was not statistically significant and requires confirmation in larger trials.

Citation Format: Haven Garber, Gaiane Rauch, Beatriz Adrada, Rosalind Candelaria, Elizabeth Mittendorf, Alastair Thompson, Jennifer Litton, Senthil Damodaran, Bora Lim, Banu Arun, Naoto Ueno, Vicente Valero, Nuhad Ibrahim, Rashmi Murthy, Debu Tripathy, Helen Piwnica-Worms, Fraser Symmans, Lei Huo, Stacy Moulder. Residual cancer burden in patients with early stage triple negative breast cancer who progress on anthracycline-based neoadjuvant chemotherapy in an ongoing clinical trial (ARTEMIS) [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-16-09.

Abstract P3-01-10: Ndrg1-egfr axis in inflammatory breast cancer tumorigenesis and brain metastasis

Background: Inflammatory breast cancer (IBC) is a rare (1-2%) but lethal form of primary breast cancer responsible for 10% of breast cancer-related deaths in the United States. IBC tumors grow aggressively and have a high risk of metastasis, particularly to the brain. Unraveling the pathways involved in IBC aggressiveness and metastasis could reveal new therapeutic targets. We recently identified NDRG1 (N-Myc downstream regulated gene1) in a newly isolated subline of MDA-IBC3 cells as a top candidate protein associated with enhanced propensity for brain metastasis. Although the metastasis suppressor properties of NDRG1 are widely described, its function in the pathobiology of IBC is unknown. Here we investigated the function of NDRG1 in tumorigenesis and metastatic progression to brain in IBC.

Methods: NDRG1 gene expression was analyzed in large publically available breast cancer clinical datasets and the IBC Consortium dataset, and median expression level was used to stratify patients into NDRG1-high and NDRG1-low groups. Tissue microarrays of IBC patient samples were immunostained with anti-NDRG1 antibody. Stable knockdown (KD) of NDRG1 in IBC cell lines (HER2+: MDA-IBC3; TNBC: SUM149, BCX010) was obtained by lentiviral gene transfer. For in vivo studies, control and NDRG1 KD IBC cell lines were transplanted into cleared mammary fat pads of SCID/Beige mice and tumor growth monitored via caliper measurements. Reverse phase protein array analysis was used for proteomic profiling.

Results: In several independent cohorts of patients with breast cancer (including The Cancer Genome Atlas), NDRG1 mRNA expression was significantly higher in ER-negative and high-grade breast tumors (p&lt;0.0001) and was associated with poor overall survival (p=0.0003), relapse-free survival (p&lt;0.0001), and metastasis-free survival (p=0.0012). NDRG1 expression was higher in more aggressive, basal-like and HER2+ subtypes than in hormone receptor-positive subtypes (p&lt;0.0001), and was also higher in IBC vs. non-IBC tumors (p=0.007, IBC consortium dataset). Immunostaining showed NDRG1 was frequently expressed in IBC patient tumors (83%) and was associated with worse overall survival (OS, p=0.0129) and disease-specific survival (DSS, p=0.013). On multivariate analysis, NDRG1 was an independent prognostic factor for poor OS [HR 2.5 (95%CI, 1.3-4.7), p=0.0047] and DSS [HR 2.6 (95%CI 1.3-5.1), p=0.006]. Notably, NDRG1 expression was higher in patients with brain metastasis vs. primary tumors (GSE43837, p=0.018) and correlated with shorter time to development of brain metastasis (GSE2034, p=0.026). NDRG1-high sublines had enhanced propensity for brain metastasis as shown by higher incidence (100% vs. 44% for NDRG1-low sublines, p=0.01) and increased brain metastasis burden (p=0.0008). Invitro, silencing NDRG1 in IBC cell lines significantly reduced colony formation, migration, invasion, and cancer stem-like properties. In vivo, silencing of NDRG1 inhibited primary tumor growth of SUM149 (p&lt;0.0001) and MDA-IBC3 (p=0.0426) xenografts. Proteomics analysis showed that NDRG1 correlated positively with activation of the EGFR/STAT3 signaling pathway. Mechanistically, NDRG1 knockdown in IBC cell lines reduced EGFR expression and suppressed phosphorylation of EGFR and STAT3, whereas NDRG1 overexpression increased EGFR expression and enhanced EGFR-STAT3 activation.

Conclusions: We showed that high NDRG1 was associated with worse clinical outcomes in patients with IBC and that NDRG1 drives tumor progression in IBC potentially via activation of the EGFR-STAT3 signaling pathway. Targeting the NDRG1-EGFR axis may be a novel therapeutic approach in IBC and other aggressive breast cancers. Additional investigations are underway to determine the detailed mechanisms of NDRG1-mediated IBC tumorigenesis and brain metastasis

Citation Format: Emilly Schlee Villodre, Xiaoding Hu, Richard Larson, Bedrich L Eckhardt, Yun Gong, Lei Huo, Juhee Song, Savitri Krishnamurthy, Nuhad Ibrahim, Naoto T Ueno, Debu Tripathy, Wendy A Woodward, Bisrat G Debeb. Ndrg1-egfr axis in inflammatory breast cancer tumorigenesis and brain metastasis [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-01-10.

Abstract P2-16-08: Longitudinal response and selection under neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC): Profiling results from a randomized, TNBC enrolling trial to confirm molecular profiling improves survival (ARTEMIS; NCT02276443)

Background: The heterogeneity of TNBC results in a spectrum of responses to NAST: 30-40% of patients (pts) have pathologic complete response (pCR) with excellent prognosis. Several methods have been used to measure and evaluate residual disease, including ultrasound, MRI scans, histo-pathology and transcriptional profiling (Seth, ASCO 2019). In addition, we hypothesize that integrative understanding of sub-clonal selection and changes in molecular pathways would lead to better stratification as a biomarker for chemotherapy, and subsequent targeted therapy trials. Methods: Pts with stage I-III TNBC began a planned 4 cycles of Adriamycin-based chemo (AC). Biopsies were performed pre (mandatory) and post (optional) AC. Volumetric change by ultrasound (VUS) at completion of AC (or progression) was calculated. Pts with sensitive disease received subsequent taxane-based (T) therapy. Pts with insensitive disease were offered phase II trials. Pathologic response was assessed at surgical resection in 55 pts. Matched samples, pre and post AC (N = 55 pts) underwent transcriptomic and genomic profiling. Samples were classified into six previously identified ARTEMIS subtypes of TNBC (ART-Type) and immune deconvolution and estimation was performed using RNA-Seq profiles. Somatic mutations and copy-number changes were evaluated using, Mutect, FACETS, and PyClone. Results: Predominately, tumors reacted to AC in 4 different patterns with variation in immune and EMT related pathways. Enrichment of EMT (Group 4) was associated with poor prognosis and higher RCB (10.3% vs 42% pCR rates, p&lt;0.05). The global changes in transcription led to ART-Type switching in all subtypes (44% of pts), except LAR subtype. MYC amplification was more prevalent (40%) in Group 4, associated with higher EMT and poor prognosis than other groups (28%). Phylogenetic evaluation of selection revealed, sub-clonal selection in 22% of evaluable cases with pre and post biopsies. Conclusions: Molecular profiling of longitudinal TNBC samples reveals distinct response patterns in tumors and their micro-environments upon treatment with AC. Integrative analysis of genomic and transcriptomic changes can lead to better stratification of response to NAST. These patterns were indicative of pathologic response in this cohort; however, they require validation in a separate cohort.

Citation Format: Sahil Seth, Lei Huo, Suhas Vasaikar, Gaiane Rauch, Bora Lim, Jason White, Beatriz Adrada, Helen Piwnica-Worms, Naoto T Ueno, Alastair Mark Thompson, Elizabeth Mittendorf, Debashish Tripathy, Jennifer Keating Litton, William Fraser Symmans, Giulio Draetta, Andrew Futreal, Jeffrey Chang, Stacy Moulder. Longitudinal response and selection under neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC): Profiling results from a randomized, TNBC enrolling trial to confirm molecular profiling improves survival (ARTEMIS; NCT02276443) [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-16-08.