Breast cancer could be detected up to five years before there are any clinical signs of it, using a blood test that identifies the body’s immune response to substances produced by tumour cells, according to new research presented at the 2019 NCRI Cancer Conference today (Sunday).
Cancer cells produce proteins called antigens that trigger the body to make antibodies against them – autoantibodies. Researchers at the University of Nottingham (UK) have found that these tumour-associated antigens (TAAs) are good indicators of cancer, and now they have developed panels of TAAs that are known already to be associated with breast cancer to detect whether or not there are autoantibodies against them in blood samples taken from patients.
In a pilot study the researchers, who are part of the Centre of Excellence for Autoimmunity in Cancer (CEAC) group at the School of Medicine, University of Nottingham, took blood samples from 90 breast cancer patients at the time they were diagnosed with breast cancer and matched them with samples taken from 90 patients without breast cancer (the control group).
They used screening technology (protein microarray) that allowed them to screen the blood samples rapidly for the presence of autoantibodies against 40 TAAs associated with breast cancer, and also 27 TAAs that were not known to be linked with the disease.
Presenting the research at the NCRI Conference, Ms Daniyah Alfattani, a Ph.D. student in the group, said: “The results of our study showed that breast cancer does induce autoantibodies against panels of specific tumour-associated antigens. We were able to detect cancer with reasonable accuracy by identifying these autoantibodies in the blood.”
The researchers identified three panels of TAAs against which to test for autoantibodies. The accuracy of the test improved in the panels that contained more TAAs.
The panel of five TAAs correctly detected breast cancer in 29% of the samples from the cancer patients and correctly identified 84% of the control samples as being cancer-free.
The panel of seven TAAs correctly identified cancer in 35% of cancer samples and no cancer in 79% of control samples.
The panel of nine antigens correctly identified cancer in 37% of cancer samples and no cancer in 79% of the controls.
“We need to develop and further validate this test,” said Ms Alfattani. “However, these results are encouraging and indicate that it’s possible to detect a signal for early breast cancer. Once we have improved the accuracy of the test, then it opens the possibility of using a simple blood test to improve early detection of the disease.”
The researchers are now testing samples from 800 patients against a panel of nine TAAs, and they expect the accuracy of the test to improve with these larger numbers.
“A blood test for early breast cancer detection would be cost effective, which would be of particular value in low and middle income countries. It would also be an easier screening method to implement compared to current methods, such as mammography,” said Ms Alfattani.
The researchers estimate that, with a fully-funded development programme, the test might become available in the clinic in about four to five years.
A similar test for lung cancer is currently being tested in a randomised controlled trial in Scotland, involving 12,000 people at high risk of developing lung cancer because they smoke. They have been randomised to have (or not) an autoantibody blood test called ELISA (Early CDT-Lung).
Participants who test positive for the autoantibodies are then followed up with a CT scan every two years in order to detect lung cancer in its early stages when it is easier to treat.
The CEAC group is also working on similar tests for pancreatic, colorectal and liver cancers. Solid tumours like these, as well as lung and breast cancer, represent around 70% of all cancers.
“A blood test capable of detecting any of these cancers at an early stage is the over-riding objective of our work,” concluded Ms Alfattani.
Dr. Iain Frame, CEO of NCRI said: “Early diagnosis using simple, non-invasive ways of detecting the first signs of cancer is a key strategic priority for NCRI and something we’d all like to see working in practice.
The results from this pilot study for a blood test to detect early breast cancer are promising and build on this research group’s expertise in other cancers, such as lung cancer. It’s obviously early days but we look forward to seeing the results from the larger group of patients that are now being investigated.”
More information: Abstract no: Poster 2966, poster board number 37, area 2. “Clinical utility of autoantibodies in early detection of breast cancer,” by Daniyah Alfattani et al. 19.20 hrs GMT. Silent theatre 2, Exhibition Hall, Sunday 3 November.
Proposed guidelines for global analyses of the tumor-antigen landscape
The study by Löffler and colleagues shows that MS is the most robust method for high-throughput analyses of the MAP repertoire of tumor cells . Notably, the breadth and sensitivity of MS analyses can be adjusted according to sample size and user preferences.
We therefore suggest that MS analyses should be included at the discovery and/or validation stages of pipelines for tumor-antigen discovery. Furthermore, we strongly encourage the sharing of MS datasets via the SysteMHC Atlas .
In the short term, sharing of immunopeptidomic data will accelerate further analyses of the features of tumor antigens: whether they are shared among different tumors, their abundance in tumor cells (at the RNA and peptide levels), their immunogenicity and so on.
In the long term, sharing will provide large validated tumor-antigen datasets that can be used as learning material for artificial neural networks, giving rise to more precise predictions.
Rapid progress in the field and the lack of a standardized nomenclature has led to some confusion in the classification of tumor antigens. We therefore offer a simple classification of tumor antigens based on three criteria: tissue-expression profile, genomic origin and mutational status (Table 1).
Tumor-associated antigens (TAAs) are MAPs that show superior abundance on tumor cells but are nonetheless present on normal cells, and may therefore induce central immune tolerance .
TSAs are segregated into two main groups: mutated TSAs (mTSAs) and aeTSAs . mTSAs derive from mutated DNA sequences that can be either exonic or non-exonic. aeTSAs result from the aberrant expression of transcripts that are not expressed in any normal somatic cell, including mTECs. Finally, a peculiar antigen family, the cancer-germline antigens (CGAs), sits astride the TAA and aeTSA categories.
Classes of tumor antigens
|Genomic origin||Exonic ++++||Exonic++|
|Exonic + (some CGAs)|
|Expression in mTECs/normal tissues||Yes||No||No|
|Shared among tumors||Often||No/rarely||Often|
|Derivation||Overexpression due to genetic and epigenetic changes||Somatic mutations||Epigenetic changes|
The relative frequency of exonic vs non-exonic antigens is indicated using a scale of + (rare) to ++++ (very common) for each class of tumor antigens. aeTSA, Aberrantly expressed tumor-specific antigen; CGA Cancer-germline antigen, mTEC Medullary thymic cell, mTSA Mutated tumor-specific antigen, TAA Tumor-associated antigen
CGAs are coded by canonical exons that are normally expressed only by germ cells, and their aberrant expression in cancer cells is mostly driven by epigenetic alterations. However, some CGAs are expressed by adult mTECs . Accordingly, we propose to classify those CGAs that are expressed in mTECs (or other somatic tissues) as TAAs, and those not expressed by any normal tissue (including mTECs) as genuine aeTSAs.
One advantage of this simple classification is that antigen classes are linked to functional features. Thus, in contrast to TAAs, mTSAs and aeTSAs should not induce central immune tolerance and are expected to display superior immunogenicity.
In addition, TAAs and aeTSAs may have two advantages as potential therapeutic targets over mTSAs: they are more numerous and evidence suggests that some are shared by many tumors [6, 10]. One major advantage presented by antigens that are shared by many tumors over mTSAs is they can be can be incorporated into off-the-shelf cancer vaccines.
In principle, aeTSAs may offer the best of both worlds—being shared by many tumors without inducing central immune tolerance—but much more work is needed in order to evaluate the value of various classes of tumor antigens cogently.
A deep exploration of the immunopeptidomic dark matter will be necessary before conclusions can be reached. Substantial attention should be paid to three features of tumor antigens that will influence their potential for therapeutic translation: the proportion of tumors on which they are present, their abundance on tumor cells and their immunogenicity. Ultimately, clinical studies will determine what is the best way to target tumor antigens. T
he fact that multiple antigens can be incorporated into a single vaccine makes this approach very attractive. On the other hand, therapies that are based in T-cell receptors (using the injection of cells or bispecific biologics) would make it possible to launch potent attacks on tumor cells, even when the patient is immunodeficient.