Kooperativer Bibliotheksverbund

In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 10, No. 8 ( 2020-08-01), p. 1174-1193

Abstract: Mechanisms driving resistance to cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) in hormone receptor–positive (HR+) breast cancer have not been clearly defined. Whole-exome sequencing of 59 tumors with CDK4/6i exposure revealed multiple candidate resistance mechanisms including RB1 loss, activating alterations in AKT1, RAS, AURKA, CCNE2, ERBB2, and FGFR2, and loss of estrogen receptor expression. In vitro experiments confirmed that these alterations conferred CDK4/6i resistance. Cancer cells cultured to resistance with CDK4/6i also acquired RB1, KRAS, AURKA, or CCNE2 alterations, which conferred sensitivity to AURKA, ERK, or CHEK1 inhibition. Three of these activating alterations—in AKT1, RAS, and AURKA—have not, to our knowledge, been previously demonstrated as mechanisms of resistance to CDK4/6i in breast cancer preclinically or in patient samples. Together, these eight mechanisms were present in 66% of resistant tumors profiled and may define therapeutic opportunities in patients. Significance: We identified eight distinct mechanisms of resistance to CDK4/6i present in 66% of resistant tumors profiled. Most of these have a therapeutic strategy to overcome or prevent resistance in these tumors. Taken together, these findings have critical implications related to the potential utility of precision-based approaches to overcome resistance in many patients with HR+ metastatic breast cancer. This article is highlighted in the In This Issue feature, p. 1079

Type of Medium: Online Resource

ISSN: 2159-8274 , 2159-8290

URL: Article

DOI: 10.1158/2159-8290.CD-19-1390

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2020

detail.hit.zdb_id: 2607892-2

In: Cancer Research, American Association for Cancer Research (AACR), Vol. 80, No. 4_Supplement ( 2020-02-15), p. GS2-02-GS2-02

Abstract: While recent studies have begun characterizing the metastatic breast cancer (MBC) genomics, our understanding of mechanisms of acquired endocrine-resistance, their induced cell-state, and their altered drug-response profile, remains lacking. We collected biopsies from patients with MBC with detailed clinicopathologic features. To date we profiled 520 exomes, and 291 transcriptomes, with 126 patients having multiple biopsy exomes. Curated endocrine-relapse set include 60 patients with pre-treatment and post-relapse exomes. Characterization of candidate mechanisms of resistance (MOR) included 909 RNA-seq profiles of T47D cells with introduced MOR under various drugs. In the acquired endocrine resistance cohort, as expected, we found frequent ESR1 acquired mutations (13 pt, 22%). Additionally, we identified acquired activating SNVs and amplifications in oncogenic receptor tyrosine kinases (RTKs) in 18/60 (30%), including EGF family - HER2 (n=7), ERRB3 (R525Q), and EGFR (S116F), and FGF family - FGFR1 (n=5), FGFR2 (n=4), and FGF3 amplicon (n=4). RNA-seq of T47D cells overexpressing HER2 activating mutations revealed a distinct cell-state (HER2-ACT). Similarly, FGFR activation revealed a district FGFR-ACT state. The transcriptional signatures of these HER2 and FGFR states were remarkably similar (odd-ratio= 91, p= 2.64E-94). To characterize the cell-state common to HER and FGFR, we defined RTK-ACT with 358 overlapping marker genes (see table). Canonical (estradiol) ER signaling is slightly elevated in RTK-ACT, however this state is strongly associated with growth-factor driven ER signaling, suggesting reprogramming of ER from AF2, to AF1 signaling. Consistent with this, RTK-ACT had significantly higher MAPK activation. Additionally, RTK-ACT Induced stronger similarity to Basal-state, enrichment in motility/migration, mesenchymal, and stem-like features, with top genes including CDH3, MBP7, and S100, ETV, DUSP, SPRY families (see table). To study RTK-driven state in-vivo, we analyzed RNA-seq from our MBC biopsies, and compared tumors with activating RTK mutations (n=38) with WT (n=118), and inferred activated RTK in-vivo (RTK.ACT.iv). Our in-vitro and in-vivo states show significant overlap (OR=4.71, p=9.42E-20). Furthermore, characterization of RTK.ACT.iv, recapitulated all the cell-state features observed in RTK.ACT - including higher growth-factors ER signaling, MAPK, and basal-like state (see table). We further studied the viability and transcription of these RTKs under various drugs (12 treatments), including fulvestrant, palbociclib, and specific tyrosine kinase inhibitors (TKIs) - Neratinib (pan-HER inhibitor) and FIIN-3 (FGFR-i). We found that HER2-ACT and FGFR-ACT signatures remain robust when treated with fulvestrant, palbociclib, and their combinations, as compared to TKIs suppression (see table). in-line with our viability results - suggesting intrinsic resistance to CDK4/6i and sensitivity to TKIs. This study demonstrated that activating RTKs constitute of prevalent modality of acquired resistance to endocrine therapies, inducing a distinct state with clinical implications - suggesting the potential benefit of combination therapies with specific TKIs over CDK4/6i. The common MAPK activity and our preliminary results - suggests the potential of convergence-node targeting strategy with added MEK or SHP2 inhibition. TableGene set AGene set BOdds-ratioP-value (two-sided)Fisher''s Exact test matHER2-ACT -FGFR-ACT -912.64E-9469, 131, 131, 22704HER2 S653C, L755S, V777L, L869R vs. GFP, under DMSO, rank genes based on the logFC (top 200)FGFR1, FGFR2 (WT, N550K, M538I, K660N) vs. GFP, Parental, Under DMSO, rank genes based on the logFC (top 200)HER2-ACT_1000 -FGFR-ACT_1000 -18.98.28E-248358, 642, 642, 21758HER2 S653C, L755S, V777L, L869R vs. GFP, under DMSO, rank genes based on the logFC- top 1000FGFR1, FGFR2 (WT, N550K, M538I, K660N) vs. GFP, Parental, Under DMSO, rank genes based on the logFC - top 1000RTK-ACTHALLMARK_ESTROGEN_RESPONSE_EARLY, MSigDB3.030.004229, 191, 349, 22474RTK-ACTER driven by Growth Factors, PMID: 208897186.771.74E-059, 86, 349, 22585RTK-ACTMEK_UP.V1_UP (MAPK), MSigDB10.95.72E-1827, 169, 331, 22496RTK-ACTRAS ONCOGENE (MAPK), PMID: 162730928.445.77E-1220, 158, 338, 22553RTK-ACTWU_CELL_MIGRATION, PMID 187243907.648.96E-1119, 165, 339, 22502RTK-ACTHUPER_BREAST_BASAL_VS_LUMINAL_UP, PMID 17409405131.38E-079, 45, 349, 22621RTK-ACTHALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION, MSigDB3.770.00031411, 189, 347, 22477RTK-ACTLIM_MAMMARY_STEM_CELL_UP, PMID 203461513.119.56E-0622, 467, 336, 22205RTK-ACTRTK-ACT.iv -4.719.42E-2060, 940, 298, 21992In MBC biopsies, compare RTK mutations with WT, rank genes based on the logFC - top 1000RTK-ACT.iv (in-vivo)HALLMARK_ESTROGEN_RESPONSE_EARLY, MSigDB1.950.020316, 184, 984, 22088RTK-ACT.ivER driven by Growth Factors, PMID: 208897182.640.0076310, 85, 990, 22193RTK-ACT.ivMEK_UP.V1_UP (MAPK), MSigDB2.863.91E-0522, 174, 978, 22098RTK-ACT.ivRAS ONCOGENE (MAPK), PMID: 162730921.620.13212, 166, 988, 22152RTK-ACT.ivWU_CELL_MIGRATION, PMID 187243903.573.60E-0725, 159, 975, 22115RTK-ACT.ivHUPER_BREAST_BASAL_VS_LUMINAL_UP, PMID 174094059.515.43E-1016, 38, 984, 22235RTK-ACT.ivHALLMARK_EPITHELIAL_MESENCHYMAL_TRANSITION, MSigDB2.090.0073817, 183, 983, 22090RTK-ACT.ivLIM_MAMMARY_STEM_CELL_UP, PMID 203461511.420.089229, 460, 971, 21819HER2-ACTHER2-ACT - Fulv3006.53E-183109, 91, 91, 22750HER2-ACTHER2-ACT - Palbo2331.46E-163101, 99, 99, 22749HER2-ACTHER2.ACT - Fulv + Palbo2197.64E-15999, 101, 101, 22742HER2-ACTHER2.ACT - Neratinib63.19.78E-7257, 143, 143, 22707HER2-ACTHER2.ACT - Fulv + Neratinib59.33.53E-6855, 145, 145, 22724FGFR-ACTFGFR.ACT - Palbo19003.2e-319157, 43, 43, 22778FGFR-ACTFGFR.ACT - Fulv + Palbo12501.38E-290148, 52, 52, 22767FGFR-ACTFGFR.ACT - Fulv8661.72E-266140, 60, 60, 22764FGFR-ACTFGFR.ACT - Palbo + FIIN.31062.88E-10474, 126, 126, 22710FGFR-ACTFGFR.ACT - Fulv + Palbo + FIIN.378.41.14E-8464, 136, 136, 22705FGFR-ACTFGFR.ACT - FIIN.367.42.16E-7559, 141, 141, 22730FGFR-ACTFGFR.ACT - Fulv + FIIN.336.89.47E-4541, 159, 159, 22733 Citation Format: Ofir Cohen, Pingping Mao, Utthara Nayar, Jorge E Buendia-Bue, Dewey Kim, Esha Jain, Karla Helvie, Daniel Abravanel, Kailey J Kowalski, Christian Kapstad, Samuel Freeman, Victor Adalsteinsson, Seth A Wander, Adrienne G Waks, Gad Getz, Aviv Regev, Eric Winer P Winer, Nancy U Nancy U. Lin, Nikhil Wagle. Acquired activating mutations in RTKs confer endocrine resistance in ER+ metastatic breast cancer through ER-reprogramming, MAPK signaling, and an induced stem-like cell state [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 GS2-02.

Type of Medium: Online Resource

ISSN: 0008-5472 , 1538-7445

URL: Article

DOI: 10.1158/1538-7445.SABCS19-GS2-02

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2020

detail.hit.zdb_id: 2036785-5

detail.hit.zdb_id: 1432-1

detail.hit.zdb_id: 410466-3

In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 26, No. 22 ( 2020-11-15), p. 5974-5989

Abstract: To identify clinically relevant mechanisms of resistance to ER-directed therapies in ER+ breast cancer. Experimental Design: We conducted a genome-scale functional screen spanning 10,135 genes to investigate genes whose overexpression confer resistance to selective estrogen receptor degraders. In parallel, we performed whole-exome sequencing in paired pretreatment and postresistance biopsies from 60 patients with ER+ metastatic breast cancer who had developed resistance to ER-targeted therapy. Furthermore, we performed experiments to validate resistance genes/pathways and to identify drug combinations to overcome resistance. Results: Pathway analysis of candidate resistance genes demonstrated that the FGFR, ERBB, insulin receptor, and MAPK pathways represented key modalities of resistance. The FGFR pathway was altered via FGFR1, FGFR2, or FGF3 amplifications or FGFR2 mutations in 24 (40%) of the postresistance biopsies. In 12 of the 24 postresistance tumors exhibiting FGFR/FGF alterations, these alterations were acquired or enriched under the selective pressure of ER-directed therapy. In vitro experiments in ER+ breast cancer cells confirmed that FGFR/FGF alterations led to fulvestrant resistance as well as cross-resistance to the CDK4/6 inhibitor palbociclib. RNA sequencing of resistant cell lines demonstrated that FGFR/FGF induced resistance through ER reprogramming and activation of the MAPK pathway. The resistance phenotypes were reversed by FGFR inhibitors, a MEK inhibitor, and/or a SHP2 inhibitor. Conclusions: Our results suggest that FGFR pathway is a distinct mechanism of acquired resistance to ER-directed therapy that can be overcome by FGFR and/or MAPK pathway inhibitors.

Type of Medium: Online Resource

ISSN: 1078-0432 , 1557-3265

URL: Article

DOI: 10.1158/1078-0432.CCR-19-3958

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2020

detail.hit.zdb_id: 1225457-5

detail.hit.zdb_id: 2036787-9

In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 675-675

Abstract: Durable control of invasive solid tumors is thwarted by the lack of knowledge of effective drug combinations and of the acquired and intrinsic resistance mechanisms of drugs. In an effort to tackle this problem, the SU2C-NSF-TVF Drug Combination Convergence Team is using mechanistic models of cancer cell signaling based on therapeutic and cell line data in order to identify elements within cancer cells that might eventually be exploited through therapeutic combinations. Here we present a comprehensive mechanistic network model of signal transduction in ER+ PIK3CA-mutant breast cancer. Focusing on PI3K inhibitors, the model recapitulates known resistance mechanisms and predicts other possibilities for resistance: loss of RB1, FOXO3, P27, or PRAS40. To test these predictions, we analyzed genome-wide CRISPR screens of two breast cell lines in the presence of PI3K inhibitors (BYL719 and GDC0032) and found that the predicted genes (RB1, FOXO3, P27, and PRAS40) were significantly enriched in the screens. Some of these resistance genes (e.g. loss of RB1) were found to be cell-line specific and follow-up experiments in RB1-KO cells confirmed the cell-line-specific nature of PI3K-inhibitor resistance. The model also reveals known and novel combinatorial interventions that are more effective than PI3K inhibition alone. For example, the model predicts that the combination of PI3K inhibitors with inhibitors of anti-apoptotic protein MCL1 would be effective. Follow up experiments in cell lines using cell viability assays, cell death analyses, and dynamic BH3 profiling experiments to determine increases in apoptotic priming upon treatment confirmed that MCL1 inhibitors (S63845) enhance the effect of PI3K inhibitors (BYL719) and that this combinatorial effect is cell-line-specific, similarly to what was found in the resistance genes case. In conclusion, the model predicted drug resistance mechanisms and effective drug combinations, some of which were verified experimentally and found to be cell-line-specific. Next iterations of the model will incorporate the identified discrepancies and newly identified resistance mechanisms to drugs of clinical interest. Citation Format: Jorge Gómez Tejeda Zañudo, Pingping Mao, Joan Montero, Guotai Xu, Kailey J. Kowalski, Gabriela N. Johnson, José Baselga, Maurizio Scaltriti, Anthony G. Letai, Nikhil Wagle, Reka Albert. Network modeling of drug resistance mechanisms and drug combinations in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 675.

Type of Medium: Online Resource

ISSN: 0008-5472 , 1538-7445

URL: Article

DOI: 10.1158/1538-7445.AM2019-675

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2019

detail.hit.zdb_id: 2036785-5

detail.hit.zdb_id: 1432-1

detail.hit.zdb_id: 410466-3

In: Cureus, Springer Science and Business Media LLC

Type of Medium: Online Resource

ISSN: 2168-8184

URL: Article

DOI: 10.7759/cureus.41043

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2023

detail.hit.zdb_id: 2747273-5