| Literature DB >> 29872715 |
Ellen Heitzer1,2, Samantha Perakis1, Jochen B Geigl1, Michael R Speicher1,2.
Abstract
Precision medicine refers to the choosing of targeted therapies based on genetic data. Due to the increasing availability of data from large-scale tumor genome sequencing projects, genome-driven oncology may have enormous potential to change the clinical management of patients with cancer. To this end, components of tumors, which are shed into the circulation, i.e., circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), or extracellular vesicles, are increasingly being used for monitoring tumor genomes. A growing number of publications have documented that these "liquid biopsies" are informative regarding response to given therapies, are capable of detecting relapse with lead time compared to standard measures, and reveal mechanisms of resistance. However, the majority of published studies relate to advanced tumor stages and the use of liquid biopsies for detection of very early malignant disease stages is less well documented. In early disease stages, strategies for analysis are in principle relatively similar to advanced stages. However, at these early stages, several factors pose particular difficulties and challenges, including the lower frequency and volume of aberrations, potentially confounding phenomena such as clonal expansions of non-tumorous tissues or the accumulation of cancer-associated mutations with age, and the incomplete insight into driver alterations. Here we discuss biology, technical complexities and clinical significance for early cancer detection and their impact on precision oncology.Entities:
Year: 2017 PMID: 29872715 PMCID: PMC5871864 DOI: 10.1038/s41698-017-0039-5
Source DB: PubMed Journal: NPJ Precis Oncol ISSN: 2397-768X
Fig. 1Plasma DNA diagnostics in physiologic and pathologic conditions. a Pregnancy is a physiologic scenario which results in a relatively constant and reproducible, i.e., similar in different pregnancies, release of fetal or placental DNA into the circulation. Hence, diagnostic procedures are easy to standardize. The graph at the bottom indicates the fetal plasma DNA fraction as a function of gestational age and shows a positive correlation. In the majority of pregnancies fetal fractions of more than 4%, which is considered to represent a threshold for reliable non-invasive prenatal testing, are already present at 10th week of pregnancy (graph adapted from ref. 126). b In contrast, cancer is a pathologic process, which is often heterogeneous (various clones within the primary tumor are depicted in different colors and furthermore metastatic sites, which also contribute) including multiple parameters, e.g., the microenvironment (indicated here by tumor infiltrating lymphocytes) and access to blood vessels, which affect the release of tumor DNA and which may cause significant variation from one patient to the next. At the bottom, average ctDNA levels for tumor stages I to IV are depicted. However, as indicated by the bars, these values may vary tremendously for each stage (graph adapted from ref. 42) and are frequently below 4% required for NIPT. For clarity, we only show DNA fragments in the blood vessels, although other factors, e.g., extracellular vesicles, or modifications of the DNA either by epigenetic changes or alterations in the nucleic acid sequence can also be detected in the systematic circulation
Fig. 2Tumors, clonal expansions and their respective lead times. a In breast cancer, tumors with “favorable” biological features (grade 1) may have extensive lead times of up to 19 years and these tumors contribute to significant overdiagnosis by screening mammography. Even if detected at a late stage, these tumors often have an excellent prognosis. In contrast, breast cancers with unfavorable biological features (grade 2–3) usually have short lead times (<2 years) and are therefore less frequently identified by screening mammography. However, because of their biology, early diagnosis would be mandatory to significantly reduce mortality. b In CRC, tumors develop through well-defined stages (i.e., stages I–IV), a process which may take up to 20–40 years and is the result of the accrual of specific mutations in tumor driver genes[127] (image adapted from refs. 127,128). As survival rates are stage-dependent, the earlier the diagnosis is made the better. In the two scenarios depicted in a and b, the primary clinical challenge remains to determine the fate of the specific lesions so that they do not always differ fundamentally, but transitions exist. c Clonal expansions are best characterized in hematopoietic systems and are frequently associated with known driver gene mutations. Their lead time is hard to determine. For CHIP (clonal hematopoiesis of indetermined potential), the odds of progression to overt neoplasia were estimated to be approximately 0.5–1% per year[65]
Fig. 3The three early cancer detection scenarios. a The detection of relapse after surgery with curative intent is facilitated by the option to profile the resected tumor and to use this information for the design of personalized assay panels, which can be used for high-resolution monitoring approaches. b In individuals at-risk, i.e., due to a cancer-predisposition germline mutation, chronic exposure to toxic agents, or due to viral infections, systemic screening approaches can be extended by proximal sampling, i.e., the analysis of other body fluids than blood which are close to the organ with high-risk of malignant transformation. c In the “general population”, i.e., persons without a family history of cancer or known risks for tumors at certain sites, liquid biopsy concepts for screening may include the search for mutations, somatic copy number alterations, or analyses of methylation and chromatin patterns. However, generally accepted strategies do not yet exist. Naturally occurring phenomena such as the aging associated mutation rate or clonal expansions of non-tumorous tissue may hamper early detection efforts (see also Table 1)
Biological and technical differences for applying liquid biopsy technologies on precancers and earlier stages of neoplastic development versus advanced cancers
| Parameter | Precancers/early stages | Advanced cancers |
|---|---|---|
| Size of lesion | Usually small ( < 1 cm3) | Large (≥1 cm3) |
| Clinical signs | Usually none | Apparent |
| Detectable by imaging | Often not detectable | Yes |
| Biology of lesion | May range from favorable to unfavorable (refs. | Advanced cancers have in general unfavorable (sub)clones (ref. |
| Presence of established other tumor markers (e.g., PSA, CEA, CA 125) | Uncertain (ref. | Frequently available, but without high specificity/sensitivity; useful for disease monitoring (ref. |
| Knowledge of genes to be targeted in liquid biopsy assays | Often unknown (refs. | Usually known or can be established from available tumor tissue (refs. |
| Established driver genes | Often unknown (refs. | Usually known (refs. |
| Release of tumor DNA into the circulation | Uncertain (refs. | At stage III and IV disease close to 100% of patients (ref. |
| Applicable plasma DNA technologies | Usually focused high-sensitivity assays (refs. | Broad range of targeted and untargeted approaches (refs. |
| Option of proximal sampling | Only if endangered tissue is known (refs. | In selected tumor entities, but frequently not necessary |
| Option to design personalized assays | Possible, provided that tissue is available (refs. | Tissue is usually available, can be designed for truncal and branch mutations (refs. |
| Expected VAF of somatic mutations in blood | Extremely low, if present at all (refs. | Frequently high (refs. |
| Tumor heterogeneity | Relatively low (refs. | High (refs. |
| Presence of potentially confounding mutations | In particular, persons with increased age may have acquired cancer-associated mutations without ever developing cancer (refs. | Distinction between driver and passenger mutations needed for disease monitoring (ref. |
| Presence of potentially confounding clones | Clonal expansion of non-tumorous tissue may mimic a malignant event (refs. | Likely that all metastatic sites are reflected in plasma DNA analysis (ref. |
| Detection of SCNAs | Hard to detect due to low VAF at this disease stage (refs. | Often informative and may indicate evolution of novel clones (ref. |
| Availability of established clinical guidelines | None | Emerging, e.g., EGFR mutation testing as blood-based companion diagnostic for patients with NSCLC |
PSA prostate-specific antigen, CEA carcinoembryonic antigen, CA 125 cancer antigen 125, VAF variant allelic frequency, SCNAs somatic copy number alterations, NSCLC non-small-cell lung cancer