Madrid, 29 August, 2018
They have identified six protein kinases whose functional status predicts the evolution of triple negative breast cancer
Their research shows that patients in whom these six kinases are inactive have a higher probability of being cured. However, if any of these kinases is active, the risk of relapse increases ten-fold
Drugs have already been developed to combat some of these kinases. Having studied (in animal models) the effectiveness of various combinations of drugs and relating them to the functional status of the six kinases, they have found combinations with "promising anti-tumour activity", write the authors in Nature Communications
The rarest, but also the most aggressive and hard to treat form of breast cancer, is known as triple negative. For this type of cancer, researchers have so far been unable to identify markers that can classify patients by prognosis or probability of responding to different treatments. Researchers from the Spanish National Cancer Research Centre (CNIO) are now publishing in Nature Communications a successful classification of triple breast cancer patients, which for the first time discriminates those who can be cured from those who might suffer a relapse. It also identifies new pharmacological targets, and indicates that in patients with these targets, combined treatments with existing drugs could be effective.
Specifically, they have identified six protein kinases, whose functional status predicts the evolution of triple negative breast cancer. Furthermore, researchers have found a way for these proteins to be studied in hospitals, so that in the future it might be a regular clinical test, just as genetic profile analysis of any tumour is today.
Breast tissue from a relapsed patient with active phosphorylation markers (left; brown colour), compared to breast tissue from a patient without relapse and who does not have these active markers (right). / CNIO
"Until now, it has not been possible to establish a link between the presence of certain mutations in triple negative breast cancer and a prognosis or response to drug treatment", explained oncologist Miguel Ángel Quintela, director of the Breast Cancer Clinical Research Unit at CNIO and lead author on the research paper that is being published now. "We have shown for the first time that proteomics can be used to predict the evolution of triple negative breast cancer, and to select combinations of pairs of drugs as candidates for clinical trials".
From genomics to proteomics
Decades of research into cancer genomics have identified, in many cancers, dominant gene mutations that determine the progression of the tumour and guide the design of personalised treatment pathways. These therapies that target the specific biology of each tumour, more effective than conventional chemotherapy, are largely responsible for the advances made in recent years in cancer treatments.
But triple negative breast cancer is caused by numerous mutations, which act in conjunction and in unique combinations for each patient. So far, it has not been possible to find dominant gene mutations that provide an indicator of prognosis or response to drug treatment.
As the researchers explain in Nature Communications, "although studies based on genetics have provided unprecedented knowledge about breast cancer and its subtypes, in triple negative breast cancer, this new information has revealed major heterogeneity that has prevented us, so far, from defining prognostic or predictive factors. [This fact] has meant that conventional chemotherapy is still the main therapeutic option in triple negative breast cancer".
For that reason "it would be extremely interesting" for this type of cancer to have a classification system associated with different therapeutic options, write the authors.
With this aim, CNIO researchers chose not to analyse the genes involved in triple negative breast cancer, but rather their product: the proteins whose synthesis is ordered by those genes. Their hypothesis was that the numerous genetic alterations of patients could translate into recognisable patterns of the functional status - activation or not - of all the tumour's proteins, its proteome.
They were successful. In samples of tumours from 34 patients, the researchers found the biochemical marks of the activation of tumour proteins; they found more than two million, but with the help of sophisticated bioinformatic tools, they detected that, among all these signals, there is a precise combination that is only found in patients who relapse. These proteins are activated through kinases - which are in turn proteins - and so the next step was to find the kinases responsible for that specific pattern.
Finally, the analysis identified the six kinases responsible for the activation pattern characteristic of the proteome of patients who relapse.
Six kinases indicate probable relapse
So, now we know that these six kinases play a key role in triple negative breast cancer. Some of them had been studied previously, but until now "there was no reason to home in on them", explained Quintela.
The validation of their findings with 170 patients confirmed the value of these six kinases as a marker. Patients in whom none of these proteins was activate had a 95% chance of being cured, or at least not suffering a relapse twelve years after treatment. However, if even one of the six kinases was active, the risk of relapse multiplied by ten.
These six kinases can be inhibited using drugs, and there are already drugs in use against some of them. Furthermore, to prove the clinical relevance of their findings, the researchers studied in xenografts, and in xenografts derived from patients - tumours from patients transplanted onto mice - the anti-tumour activity of 15 different combinations of drugs, and related it with the activation profile of the six kinases.
They found combinations that achieved "promising anti-tumour activity", they write in Nature Communications. Specifically, 15 combinations in ten different models - 150 situations - achieved a superior therapeutic effect to the sum total of the therapeutic effects of each drug separately in 99.3% of cases.
Towards a new clinical trial for kinase activation
Analysis of the functional status of proteins cannot currently be conducted as a routine test in hospitals, but the authors have translated the activation patterns of the kinases into indicators of immunohistochemistry, which can be analysed easily in hospitals. The objective is for the study of the six kinases identified to become in the future a regular clinical test, in the way that the genetic profiling of any tumour is today.
Currently, researchers are focusing on "validating these markers in other stages of diseases, standardising kinase determinations by way of a diagnostic test, and organising clinical trials using the therapeutic combinations described in this paper on patients with advanced disease", said Quintela.
This research paper was financed by the Carlos III Institute of Health (ISCIII), Spain's Ministry of Science, Innovation and Universities, the Spanish Association Against Cancer (AECC), Fundación 'la Caixa', the European Union, the Netherlands' Organisation for Scientific Research (NWO) and Cris Cancer
In vivo phosphoproteomics reveals kinase activity profiles that predict treatment outcome in triple-negative breast cancer. Ivana Zagorac, Sara Fernandez-Gaitero, Renske Penning, Harm Post, Maria J. Bueno, Silvana Mouron, Luis Manso, Manuel M. Morente, Soledad Alonso, Violeta Serra, Javier Muñoz, Gonzalo Gómez-López, Jose Francisco Lopez-Acosta, Veronica Jimenez-Renard, Albert Gris-Oliver, Fatima Al-Shahrour, Elena Piñeiro-Yañez, Jose Luis Montoya-Suarez, Juan V. Apala, Amalia Moreno-Torres, Ramon Colomer, Ana Dopazo, Albert J.R. Heck, Maarten Altelaar, Miguel Quintela-Fandino (Nature Communications 2018). DOI:10.1038/s41467-018-05742-z