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Prognostic markers are biomarkers used to measure the progress of a disease in the patient sample. [1] Prognostic markers are useful to stratify the patients into groups, guiding towards precise medicine discovery. The widely used prognostic markers in cancers include stage, size, grade, node and metastasis. In addition to these common markers, there are prognostic markers specific to different cancer types. For example estrogen level, progesterone and HER2 are markers specific to breast cancer patients. There is evidence showing that genes behaving as tumor suppressors or carcinogens could act as prognostic markers due to altered gene expression or mutation. Besides genetic biomarkers, there are also biomarkers that are detected in plasma or body fluid which can be metabolic or protein biomarkers.
Traditional prognostic markers in oncology include tumor size, staging, lymph node spreading status, and metastasis. Large tumor, late staging, presence of cancer cells in multiple distant lymph nodes, and observation of metastasis often associate with poor prognosis.
In recent years, advances in molecular techniques, genomics, cancer biology and sequencing technology have provided opportunities to discover and validate new biomarkers for prognosis, particularly molecular prognostic markers. The newly developed prognostic biomarker can roughly be divided into DNA, epigenetic , RNA, signaling pathway, protein, and metabolic tumor biomarkers. [2]
Carcinogenesis involves critical mutations on genes regulating cell cycle checkpoints which cause a normal cell to grow in an uncontrolled manner and thus DNA marker provide the first-hand information on carcinogenesis. DNA markers tend to be cancer type-specific, for instance, FLT3 mutations in acute myeloid leukemia, BRCA mutations in breast cancer, BRAF mutations in melanoma, and FGFR3 mutations in bladder cancer. Detection of cancer hotspot mutations are made feasible by the advance of next-generation sequencing (NGS) that offers high-throughput sequencing of target amplicons.
Table1: DNA prognostic markers for common cancer types [3]
Cancer | DNA markers |
Thyroid cancer | RET-PTC, NTRK1, PTEN, TP53, PI3K, AKT, CTNNB1, PAX8, RAS, BRAF, TSHR |
Bladder cancer | FGFR3, TERT, STAG2, AURKA |
Ovarian cancer | TP53, WT1, Ki67, Topo-II, BRCA1, BRCA2 |
Cervical cancer | Ki67, MYC, p16INK4a, PTEN, Bm-3a |
Breast cancer | BRCA1, BRCA2, HER-2, TP53, EGFR |
Prostate cancer | GSTP1, MYC, PTEN, APC, PCA3, PSMA, AMACR, BRCA1, BRCA2 |
Colorectal cancer | KRAS, BRAF, PIK3CA, TP53, APC, SFRP2, ITGA4, GATA4, GATA5, OSMR |
For liquid tumors, sufficient amount of DNA could be easily obtained since blood draw from patient is simple and noninvasive; for solid tumors, needle biopsy is often performed to collect tumor DNA, a process more invasive with limited DNA quantity for downstream analysis. An alternative DNA source is circulating tumor DNA (ctDNA). ctDNA primarily originates from apoptotic and necrotic tumor cells that release their fragmented DNA into the circulation. [4] It is believed that the amount of ctDNA in plasma is correlated with tumor progression and thus it has the potential to be utilized as a cancer prognostic marker. Collection of ctDNA is less invasive compared to tumor biopsy in that only a blood draw is need. But the challenge lies in extraction of ctDNA from total blood, the DNA quantity obtained, and methods to analyze highly fragmented ctDNA.
Epigenetics are inheritable changes in gene expression that are not caused by alterations in DNA sequence. One of the most frequently seen prognostic markers is DNA methylation, primarily methylation of CpG islands, where cytosines in CpG dinucleotides can be methylated to form 5-methylcytosines. A panel of epigenetic methylation marker has been explored for prognosis of ovarian cancer, and it is reported that the panel exhibited high specificity and sensitivity (both above 70%) as a screen marker. [5] Epigenetic markers have also shown promising potential as prognostic markers for bladder cancer. [6]
While DNA sequence infers what the cells could possibly do, the expression profile indicates what is actually being done at a particular time point. Whether specific mRNA molecules exist and the degree at which they are expressed suggest whether a certain gene is “on” and its expression level. Therefore, mRNA profiling could provide downstream transcriptional information about cancer in a more detailed and more timely manner. Technologies for mRNA profiling include RT-qPCR for highly sensitive analysis of few mRNA targets, microarrays for multiplexing profiling up to whole transcriptome level, and next generation RNA sequencing, i.e., RNA-seq, [7] for analysis of all RNA molecules within a cancer cell (alternative splicing variants, mRNAs, noncoding RNAs and microRNAs).
mRNA profiling panels have been established for breast cancer and other cancers as well. A set of 97-mRNA profile has achieved satisfactory molecular grading of breast cancer and has been commercialized as the MapQuant Dx Genomic Grade assay. [8]
The technique used for identifying protein markers is immunohistochemistry (IHC). IHC staining of the intended protein markers are performed on tumor tissues and stained tissue would demonstrate the presence and distribution of the intended protein markers. The advantage of this technology is that it could provide morphological information about protein expression levels and the procedures are standardized and of low cost. [9] However, assessment of IHC-stained tissue is less quantitative and are subject to bias. Besides, the number of validated protein markers for a certain type of cancer is limited.
Metabolites are potentially useful for predicting treatment response since they are the endpoint of many molecular pathways. [10] For example, Sreekumar et al reported that the level of sarcosine, which is a derivative of glycine, in the urine of men is correlated with metastasis of prostate cancer. [11]
An oncogene is a gene that has the potential to cause cancer. In tumor cells, these genes are often mutated, or expressed at high levels.
In biology, epigenetics is the study of heritable traits, or a stable change of cell function, that happen without changes to the DNA sequence. The Greek prefix epi- in epigenetics implies features that are "on top of" or "in addition to" the traditional genetic mechanism of inheritance. Epigenetics usually involves a change that is not erased by cell division, and affects the regulation of gene expression. Such effects on cellular and physiological phenotypic traits may result from environmental factors, or be part of normal development. They can lead to cancer.
Metastasis is a pathogenic agent's spread from an initial or primary site to a different or secondary site within the host's body; the term is typically used when referring to metastasis by a cancerous tumor. The newly pathological sites, then, are metastases (mets). It is generally distinguished from cancer invasion, which is the direct extension and penetration by cancer cells into neighboring tissues.
Carcinoma is a malignancy that develops from epithelial cells. Specifically, a carcinoma is a cancer that begins in a tissue that lines the inner or outer surfaces of the body, and that arises from cells originating in the endodermal, mesodermal or ectodermal germ layer during embryogenesis.
Malignant transformation is the process by which cells acquire the properties of cancer. This may occur as a primary process in normal tissue, or secondarily as malignant degeneration of a previously existing benign tumor.
MammaPrint is a prognostic and predictive diagnostic test for early stage breast cancer patients that assess the risk that a tumor will metastasize to other parts of the body. It gives a binary result, high-risk or low-risk classification, and helps physicians determine whether or not a patient will benefit from chemotherapy. Women with a low risk result can safely forego chemotherapy without decreasing likelihood of disease free survival. MammaPrint is part of the personalized medicine portfolio marketed by Agendia.
In medicine, a biomarker is a measurable indicator of the severity or presence of some disease state. It may be defined as a "cellular, biochemical or molecular alteration in cells, tissues or fluids that can be measured and evaluated to indicate normal biological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention." More generally a biomarker is anything that can be used as an indicator of a particular disease state or some other physiological state of an organism. According to the WHO, the indicator may be chemical, physical, or biological in nature - and the measurement may be functional, physiological, biochemical, cellular, or molecular.
Oncogenomics is a sub-field of genomics that characterizes cancer-associated genes. It focuses on genomic, epigenomic and transcript alterations in cancer.
Methylated-DNA--protein-cysteine methyltransferase(MGMT), also known as O6-alkylguanine DNA alkyltransferaseAGT, is a protein that in humans is encoded by the MGMT gene. MGMT is crucial for genome stability. It repairs the naturally occurring mutagenic DNA lesion O6-methylguanine back to guanine and prevents mismatch and errors during DNA replication and transcription. Accordingly, loss of MGMT increases the carcinogenic risk in mice after exposure to alkylating agents. The two bacterial isozymes are Ada and Ogt.
The basal-like carcinoma is a recently proposed subtype of breast cancer defined by its gene expression and protein expression profile.
A metastasis suppressor is a protein that acts to slow or prevent metastases from spreading in the body of an organism with cancer. Metastasis is one of the most lethal cancer processes. This process is responsible for about ninety percent of human cancer deaths. Proteins that act to slow or prevent metastases are different from those that act to suppress tumor growth. Genes for about a dozen such proteins are known in humans and other animals.
Breast cancer classification divides breast cancer into categories according to different schemes criteria and serving a different purpose. The major categories are the histopathological type, the grade of the tumor, the stage of the tumor, and the expression of proteins and genes. As knowledge of cancer cell biology develops these classifications are updated.
A gene signature or gene expression signature is a single or combined group of genes in a cell with a uniquely characteristic pattern of gene expression that occurs as a result of an altered or unaltered biological process or pathogenic medical condition. This is not to be confused with the concept of gene expression profiling. Activating pathways in a regular physiological process or a physiological response to a stimulus results in a cascade of signal transduction and interactions that elicit altered levels of gene expression, which is classified as the gene signature of that physiological process or response. The clinical applications of gene signatures breakdown into prognostic, diagnostic and predictive signatures. The phenotypes that may theoretically be defined by a gene expression signature range from those that predict the survival or prognosis of an individual with a disease, those that are used to differentiate between different subtypes of a disease, to those that predict activation of a particular pathway. Ideally, gene signatures can be used to select a group of patients for whom a particular treatment will be effective.
Cancer is a category of disease characterized by uncontrolled cell growth and proliferation. For cancer to develop, genes regulating cell growth and differentiation must be altered; these mutations are then maintained through subsequent cell divisions and are thus present in all cancerous cells. Gene expression profiling is a technique used in molecular biology to query the expression of thousands of genes simultaneously. In the context of cancer, gene expression profiling has been used to more accurately classify tumors. The information derived from gene expression profiling often helps in predicting the patient's clinical outcome.
Yippee-like 3 (Drosophila) is a protein that in humans is encoded by the YPEL3 gene. YPEL3 has growth inhibitory effects in normal and tumor cell lines. One of five family members (YPEL1-5), YPEL3 was named in reference to its Drosophila melanogaster orthologue. Initially discovered in a gene expression profiling assay of p53 activated MCF7 cells, induction of YPEL3 has been shown to trigger permanent growth arrest or cellular senescence in certain human normal and tumor cell types. DNA methylation of a CpG island near the YPEL3 promoter as well as histone acetylation may represent possible epigenetic mechanisms leading to decreased gene expression in human tumors.
A cancer biomarker refers to a substance or process that is indicative of the presence of cancer in the body. A biomarker may be a molecule secreted by a tumor or a specific response of the body to the presence of cancer. Genetic, epigenetic, proteomic, glycomic, and imaging biomarkers can be used for cancer diagnosis, prognosis, and epidemiology. Ideally, such biomarkers can be assayed in non-invasively collected biofluids like blood or serum.
Cancer epigenetics is the study of epigenetic modifications to the DNA of cancer cells that do not involve a change in the nucleotide sequence, but instead involve a change in the way the genetic code is expressed. Epigenetic mechanisms are necessary to maintain normal sequences of tissue specific gene expression and are crucial for normal development. They may be just as important, if not even more important, than genetic mutations in a cell's transformation to cancer. The disturbance of epigenetic processes in cancers, can lead to a loss of expression of genes that occurs about 10 times more frequently by transcription silencing than by mutations. As Vogelstein et al. points out, in a colorectal cancer there are usually about 3 to 6 driver mutations and 33 to 66 hitchhiker or passenger mutations. However, in colon tumors compared to adjacent normal-appearing colonic mucosa, there are about 600 to 800 heavily methylated CpG islands in the promoters of genes in the tumors while these CpG islands are not methylated in the adjacent mucosa. Manipulation of epigenetic alterations holds great promise for cancer prevention, detection, and therapy. In different types of cancer, a variety of epigenetic mechanisms can be perturbed, such as the silencing of tumor suppressor genes and activation of oncogenes by altered CpG island methylation patterns, histone modifications, and dysregulation of DNA binding proteins. There are several medications which have epigenetic impact, that are now used in a number of these diseases.
J. William Harbour is an American ophthalmologist, ocular oncologist and cancer researcher. He is Chair of the Department of Ophthalmology at the University of Texas Southwestern Medical Center in Dallas. He previously served as the vice chair and director of ocular oncology at the Bascom Palmer Eye Institute and associate director for basic science at the Sylvester Comprehensive Cancer Center of the University of Miami's Miller School of Medicine.
DNA methylation in cancer plays a variety of roles, helping to change the healthy cells by regulation of gene expression to a cancer cells or a diseased cells disease pattern. One of the most widely studied DNA methylation dysregulation is the promoter hypermethylation where the CPGs islands in the promoter regions are methylated contributing or causing genes to be silenced.
CpG island hypermethylation is a phenomenon that is important for the regulation of gene expression in cancer cells, as an epigenetic control aberration responsible for gene inactivation. Hypermethylation of CpG islands has been described in almost every type of tumor.