Literature DB >> 28814291

Circulating tumor DNA for personalized lung cancer monitoring.

Clare Fiala1, Eleftherios P Diamandis2,3,4.   

Abstract

Advances in deep sequencing technology have led to developments in personalized medicine. Here, we describe the implications of a recent investigation that sequenced ctDNA from the plasma of non-small cell lung cancer patients to develop personalized ctDNA tests. These 'liquid biopsies' have shown promise in monitoring tumor growth and response to treatment, providing a timely overview of mutations present in the tumor. We discuss the advantages of this budding approach, as well as its challenges and drawbacks, while also providing areas for further investigation and an outlook for the future.

Entities:  

Keywords:  Cancer biomarkers; Cancer monitoring; Cancer screening; Circulating tumor DNA; Liquid biopsy; Lung cancer

Mesh:

Substances:

Year:  2017        PMID: 28814291      PMCID: PMC5559853          DOI: 10.1186/s12916-017-0921-6

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   8.775


Background

Recently, much attention has been focused on the diagnostic and therapeutic promise of the ‘liquid biopsy’. Instead of the invasive procedure of surgically removing a piece of tumor, the liquid biopsy proposes the use of tumor DNA fragments found in cancer patients’ serum, harvestable through a simple blood draw [1]. This circulating tumor DNA (ctDNA) is thought to be secreted into the bloodstream by tumor cells undergoing necrosis or apoptosis [1], and can be extracted, sequenced, and analyzed to provide information about the composition of the tumor, just like a traditional biopsy [1].

Personalized cancer monitoring

Results from the TRACERx study using ctDNA analysis to map the evolution of early-stage lung cancer were published, to great attention, by Abbosh et al. [2] in Nature in May 2017. The study cohort was composed of 100 individuals diagnosed with early-stage non-small cell lung cancer (NSCLC) and undergoing surgery to remove their tumors [2]. Using the tumor samples gathered during surgery, the team began by sequencing the protein coding regions of the genome using various samples of the excised tumor, as well as sequencing comparison samples of healthy tissue [2]. The sequences from diseased and healthy tissues were subsequently compared, identifying the genetic differences, specifically the single nucleotide variants (SNV). These SNVs were then used to create a patient-specific tumor profile and to develop an individualized blood plasma test for 96 of the original 100 individuals [2]. The work performed by Abbosh et al. [2] was particularly challenging considering that the amount of ctDNA in a plasma sample is miniscule, sometimes less than 1% [3], especially in early-stage disease, and thus required a very sensitive approach. These personalized tests were then used to follow 24 patients post-surgery, in the longitudinal phase of the study, to identify whether any ctDNA remained or reappeared in their plasma after treatment, indicating relapse [2]. The investigators were able to provide a comprehensive map of cancer development for 96 individuals, testing 10–32 SNVs per person [2]. The most informative SNVs were those found early in tumor development (clonal SNVs), rather than later, due to tumor heterogeneity (subclonal SNVs). For 14 relapsing patients, the authors were also able to observe treatment resistance and recurrence of cancer from ctDNA test results at an average of 70 days (however, at more than 180 days in four patients and up to 346 days in one patient) before tumors appeared on computed tomography scans. Another useful observation was the correlation between increased frequency of SNV mutations in the ctDNA and tumor size, which allowed the investigators to extrapolate tumor size based on variant allele frequency in the sample [2]. While providing a novel way of testing for treatment success and relapse, ctDNA testing could yield many benefits to patients and clinicians, including less discomfort, more personalized treatment, and genetic profiling of tumor heterogeneity and dynamics. A glaring advantage of the liquid biopsy described in this paper is its non-invasiveness, since it can be performed using serum from a simple blood draw, a far more comfortable alternative to the needle biopsy typically used to assess lung tumors [2]. ctDNA could then be extracted from blood serum, sequenced, and analyzed, providing the clinician with insight into the genetic composition of the tumor and, in the future, informing on the most effective treatments [4]. Due to the invasiveness and discomfort of the procedure, biopsies are not often performed. However, the composition of tumors is constantly changing as new mutations occur. Thus, a patient could be receiving chemotherapy medication targeted at mutations that were relevant months or even years prior, limiting the efficacy of treatment [4]. Liquid biopsies could be performed far more often than traditional biopsies, for example, at the same time as other routine cancer bloodwork. Thus, the approach in this paper is truly pioneering because it opens the door to the continuous mapping of tumor evolution. This information will enable clinicians to prescribe chemotherapy regimes targeted specifically to the mutations currently present in their patientstumors. Nevertheless, although ctDNA testing for NSCLC is very promising, it is still in its infancy. Careful consideration of detection sensitivity, cost, and clinical utility is very important as this innovation continues to be developed and refined. Presently, as the authors clearly state, this test falls short of being sensitive enough to be useable as a diagnostic marker to test for the disease [2]. Thus, it is not able to fulfill the single most important clinical need, namely detection of lung cancer in asymptomatic individuals. However, this objective was not part of the investigation. A further challenge with ctDNA testing is cost and time. The authors estimate the combined cost of sequencing a single genome region, creating a custom tumor profile, and finally developing a liquid biopsy test, at US $1750 [2]. Moreover, the ctDNA test described in the paper is technically complex and requires specialized skills and equipment [2]; samples would likely have to be shipped to a central location, making it weeks before clinicians could receive results. Additionally, despite requiring significant expertise and money, this test only provided an average lead time of 2 months (though one patient experienced a lead time of 344 days) [2]. Presently, no treatment exists that would change the outcome of NSCLC if given 2 months earlier, which decreases the present clinical utility of ctDNA testing for NSCLC. However, promising advances are being made in immunotherapy [5], which could improve outcomes for individuals starting this treatment even 2 months earlier as a result of a positive result on a ctDNA test. We also anticipate that technical developments may increase the current sensitivity of this test to allow even longer lead times. A final challenge with the approach discussed is that ctDNA testing was not compared to the lung cancer circulating protein biomarkers that are also measurable in serum. For example, the measurement of CEA and CYFRA 21-1 is recommended by practice guidelines during the treatment of NSCLC, while NSE and ProGRP are recommended in small cell lung cancer treatment (https://www.researchgate.net/publication/242354126_National_Academy_of_Clinical_Biochemistry_Guidelines_for_the_Use_of_Tumor_Markers_in_Lung_Cancer). By not comparing these older biomarkers to the new ones discussed in the paper, it is difficult to determine those with the most clinical utility or whether this new, more expensive test is indeed more effective than traditional tests. Further research is needed to uncover whether traditional protein biomarkers or new ctDNA testing provides the most benefits to the clinic. It is even possible that these tests are synergistic; for example, one would be able to detect the relapsing patients missed by the other, and vice versa, to provide a more comprehensive picture of relapses.

Conclusions

NSCLC testing using ctDNA is a promising step for precision medicine and the liquid biopsy towards a new era where continuous genetic profiling of tumors enables the most effective treatment. The approach discussed in the paper could also be further applied to other cancers, such as breast and colorectal, where ctDNA testing has already been studied [6, 7]. Careful consideration and comparison of this new method with traditional biomarkers and tests is needed to ensure ctDNA testing benefits patients and makes a smooth transition from the lab to the clinic.
  7 in total

1.  Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer.

Authors:  Isaac Garcia-Murillas; Gaia Schiavon; Britta Weigelt; Charlotte Ng; Sarah Hrebien; Rosalind J Cutts; Maggie Cheang; Peter Osin; Ashutosh Nerurkar; Iwanka Kozarewa; Javier Armisen Garrido; Mitch Dowsett; Jorge S Reis-Filho; Ian E Smith; Nicholas C Turner
Journal:  Sci Transl Med       Date:  2015-08-26       Impact factor: 17.956

2.  Medical research: Personalized test tracks cancer relapse.

Authors:  Alberto Bardelli
Journal:  Nature       Date:  2017-05-24       Impact factor: 49.962

Review 3.  Liquid biopsies: genotyping circulating tumor DNA.

Authors:  Luis A Diaz; Alberto Bardelli
Journal:  J Clin Oncol       Date:  2014-01-21       Impact factor: 44.544

4.  Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer.

Authors:  J Tie; I Kinde; Y Wang; H L Wong; J Roebert; M Christie; M Tacey; R Wong; M Singh; C S Karapetis; J Desai; B Tran; R L Strausberg; L A Diaz; N Papadopoulos; K W Kinzler; B Vogelstein; P Gibbs
Journal:  Ann Oncol       Date:  2015-04-07       Impact factor: 32.976

Review 5.  Integrating liquid biopsies into the management of cancer.

Authors:  Giulia Siravegna; Silvia Marsoni; Salvatore Siena; Alberto Bardelli
Journal:  Nat Rev Clin Oncol       Date:  2017-03-02       Impact factor: 66.675

Review 6.  Cancer immunotherapy: the beginning of the end of cancer?

Authors:  Sofia Farkona; Eleftherios P Diamandis; Ivan M Blasutig
Journal:  BMC Med       Date:  2016-05-05       Impact factor: 8.775

7.  Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution.

Authors:  Christopher Abbosh; Nicolai J Birkbak; Gareth A Wilson; Mariam Jamal-Hanjani; Tudor Constantin; Raheleh Salari; John Le Quesne; David A Moore; Selvaraju Veeriah; Rachel Rosenthal; Teresa Marafioti; Eser Kirkizlar; Thomas B K Watkins; Nicholas McGranahan; Sophia Ward; Luke Martinson; Joan Riley; Francesco Fraioli; Maise Al Bakir; Eva Grönroos; Francisco Zambrana; Raymondo Endozo; Wenya Linda Bi; Fiona M Fennessy; Nicole Sponer; Diana Johnson; Joanne Laycock; Seema Shafi; Justyna Czyzewska-Khan; Andrew Rowan; Tim Chambers; Nik Matthews; Samra Turajlic; Crispin Hiley; Siow Ming Lee; Martin D Forster; Tanya Ahmad; Mary Falzon; Elaine Borg; David Lawrence; Martin Hayward; Shyam Kolvekar; Nikolaos Panagiotopoulos; Sam M Janes; Ricky Thakrar; Asia Ahmed; Fiona Blackhall; Yvonne Summers; Dina Hafez; Ashwini Naik; Apratim Ganguly; Stephanie Kareht; Rajesh Shah; Leena Joseph; Anne Marie Quinn; Phil A Crosbie; Babu Naidu; Gary Middleton; Gerald Langman; Simon Trotter; Marianne Nicolson; Hardy Remmen; Keith Kerr; Mahendran Chetty; Lesley Gomersall; Dean A Fennell; Apostolos Nakas; Sridhar Rathinam; Girija Anand; Sajid Khan; Peter Russell; Veni Ezhil; Babikir Ismail; Melanie Irvin-Sellers; Vineet Prakash; Jason F Lester; Malgorzata Kornaszewska; Richard Attanoos; Haydn Adams; Helen Davies; Dahmane Oukrif; Ayse U Akarca; John A Hartley; Helen L Lowe; Sara Lock; Natasha Iles; Harriet Bell; Yenting Ngai; Greg Elgar; Zoltan Szallasi; Roland F Schwarz; Javier Herrero; Aengus Stewart; Sergio A Quezada; Karl S Peggs; Peter Van Loo; Caroline Dive; C Jimmy Lin; Matthew Rabinowitz; Hugo J W L Aerts; Allan Hackshaw; Jacqui A Shaw; Bernhard G Zimmermann; Charles Swanton
Journal:  Nature       Date:  2017-04-26       Impact factor: 49.962

  7 in total
  5 in total

Review 1.  Liquid Biopsy and Therapeutic Targets: Present and Future Issues in Thoracic Oncology.

Authors:  Paul Hofman
Journal:  Cancers (Basel)       Date:  2017-11-10       Impact factor: 6.639

2.  Comparison of Target Enrichment Platforms for Circulating Tumor DNA Detection.

Authors:  So Ngo Lam; Ying Chun Zhou; Yee Man Chan; Ching Man Foo; Po Yi Lee; Wing Yeung Mok; Wing Sum Wong; Yan Yee Fung; Kit Yee Wong; Jun Yuan Huang; Chun Kin Chow
Journal:  Sci Rep       Date:  2020-03-05       Impact factor: 4.379

3.  Negative plasma Epstein-Barr virus DNA nasopharyngeal carcinoma in an endemic region and its influence on liquid biopsy screening programmes.

Authors:  John Malcolm Nicholls; Victor Ho-Fun Lee; Sik-Kwan Chan; Ka-Chun Tsang; Cheuk-Wai Choi; Dora Lai-Wan Kwong; Ka-On Lam; Sum-Yin Chan; Chi-Chung Tong; Tsz-Him So; To-Wai Leung; Mai-Yee Luk; Pek-Lan Khong; Anne Wing-Mui Lee
Journal:  Br J Cancer       Date:  2019-09-17       Impact factor: 7.640

Review 4.  Emerging non-invasive detection methodologies for lung cancer.

Authors:  Zhen Li; Jinian Shu; Bo Yang; Zuojian Zhang; Jingyun Huang; Yang Chen
Journal:  Oncol Lett       Date:  2020-03-12       Impact factor: 2.967

5.  Exploring Volatile Organic Compounds in Breath for High-Accuracy Prediction of Lung Cancer.

Authors:  Ping-Hsien Tsou; Zong-Lin Lin; Yu-Chiang Pan; Hui-Chen Yang; Chien-Jen Chang; Sheng-Kai Liang; Yueh-Feng Wen; Chia-Hao Chang; Lih-Yu Chang; Kai-Lun Yu; Chia-Jung Liu; Li-Ta Keng; Meng-Rui Lee; Jen-Chung Ko; Guan-Hua Huang; Yaw-Kuen Li
Journal:  Cancers (Basel)       Date:  2021-03-21       Impact factor: 6.639

  5 in total

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