PErsonalized TREatment of High-risk MAmmary Cancer - the PETREMAC Trial

Summary

Breast cancer is an optimal "model disease" for studying personalized medicine. Breast cancer was the first malignancy for which a predictive factor forecasting response to therapy was identified nearly 50 years ago; the expression of the estrogen receptor (ER). Furthermore, breast cancer is by far the malignancy in which prognostic and predictive factors have been most extensively studied. Primary medical treatment (pre-surgical medical therapy) offers a unique setting to explore predictive factors due to the fact that primary breast cancers are easily accessible to repeated tissue sampling and evaluation of therapy response both clinically and radiologically. For many years, the investigators have studied predictive factors in primary medical treatment of breast cancer. In the present project, the investigators will implement a new trial concept where the current knowledge from previous trials with respect to predictive markers (hormone receptors, HER2; TP53, CHEK2 and RB1), will be combined with massive parallel sequencing (MPS). Thereby, the investigators aim to design the "next-generation" primary medical treatment where 1) therapy regimens are individualized based on a limited number of known predictive factors and, 2) MPS is used to explore additional predictive factors and their co-regulators in order to fully identify the mechanisms of drug sensitivity / resistance across individual tumours and pave the way for further personalized breast cancer therapy in the future. As for the new era of "genomic medicine", the current trial concept will allow individual tumours to be characterized by their unique gene mutation / epigenetic modification profile upfront, to allocate patients to their optimal personalized medicine as compared to "classical" drug testing through phase II/III trials.

Timeline

Start

2016-04-15

Primary completion

2020-06-01

Completion

2030-06

Publications

• Results Eikesdal HP, Yndestad S, Elzawahry A, Llop-Guevara A, Gilje B, Blix ES, Espelid H, Lundgren S, Geisler J, Vagstad G, Venizelos A, Minsaas L, Leirvaag B, Gudlaugsson EG, Vintermyr OK, Aase HS, Aas T, Balmana J, Serra V, Janssen EAM, Knappskog S, Lonning PE. Olaparib monotherapy as primary treatment in unselected triple negative breast cancer. Ann Oncol. 2021 Feb;32(2):240-249. doi: 10.1016/j.annonc.2020.11.009. Epub 2020 Nov 24.
• Yndestad S, Engebrethsen C, Herencia-Ropero A, Nikolaienko O, Vintermyr OK, Lillestol RK, Minsaas L, Leirvaag B, Iversen GT, Gilje B, Blix ES, Espelid H, Lundgren S, Geisler J, Aase HS, Aas T, Gudlaugsson EG, Llop-Guevara A, Serra V, Janssen EAM, Lonning PE, Knappskog S, Eikesdal HP. Homologous Recombination Deficiency Across Subtypes of Primary Breast Cancer. JCO Precis Oncol. 2023 Sep;7:e2300338. doi: 10.1200/PO.23.00338.
• Wang L, Wang D, Sonzogni O, Ke S, Wang Q, Thavamani A, Batalini F, Stopka SA, Regan MS, Vandal S, Tian S, Pinto J, Cyr AM, Bret-Mounet VC, Baquer G, Eikesdal HP, Yuan M, Asara JM, Heng YJ, Bai P, Agar NYR, Wulf GM. PARP-inhibition reprograms macrophages toward an anti-tumor phenotype. Cell Rep. 2022 Oct 11;41(2):111462. doi: 10.1016/j.celrep.2022.111462.
• Batalini F, Gulhan DC, Mao V, Tran A, Polak M, Xiong N, Tayob N, Tung NM, Winer EP, Mayer EL, Knappskog S, Lonning PE, Matulonis UA, Konstantinopoulos PA, Solit DB, Won H, Eikesdal HP, Park PJ, Wulf GM. Mutational Signature 3 Detected from Clinical Panel Sequencing is Associated with Responses to Olaparib in Breast and Ovarian Cancers. Clin Cancer Res. 2022 Nov 1;28(21):4714-4723. doi: 10.1158/1078-0432.CCR-22-0749.

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Indications