Literature DB >> 29218269

Blood-based biomarkers for precision medicine in lung cancer: precision radiation therapy.

Dirk De Ruysscher1,2, Jianyue Jin3, Tim Lautenschlaeger3, Jin-Xiong She4, Zhongxing Liao5, Feng-Ming Spring Kong3.   

Abstract

Both tumors and patients are complex and models that determine survival and toxicity of radiotherapy or any other treatment ideally must take into account this variability as well as its dynamic state. The genetic features of the tumor and the host, and increasingly also the epi-genetic and proteomic characteristics, are being unraveled. Multiple techniques, including histological examination, blood sampling, measurement of circulating tumor cells (CTCs), and functional and molecular imaging, can be used for this purpose. However, the effects of radiation on the tumor and on organs at risk (OARs) are also influenced by the applied dose and volume of irradiated tissues. Combining all these biological, clinical, imaging, and dosimetric parameters in a validated prognostic or predictive model poses a major challenge. Here we aimed to provide an objective review of the potential of blood markers to guide high precision radiation therapy. A combined biological-mathematical approach opens new doors beyond prognostication of patients, as it allows truly precise oncological treatment. Indeed, the core for individualized and precision medicine is not only selection of patients, but even more the optimization of the therapeutic window on an individual basis. A holistic model will allow for determination of an individual dose-response relationship for each organ at risk for each tumor in each individual patient for the complete oncological treatment package. This includes, but is not limited to, radiotherapy alone. Individualized dose-response curves will allow for consideration of different doses of radiation and combinations with other drugs to plan for both optimal toxicity and complete response. Insights into the interactions between a multitude of parameters will lead to the discovery of new pathways and networks that will fuel new biological research on target discovery.

Entities:  

Keywords:  Lung cancer; biomarkers; precision medicine; radiotherapy

Year:  2017        PMID: 29218269      PMCID: PMC5709133          DOI: 10.21037/tlcr.2017.09.12

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  65 in total

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Authors:  M S Anscher; F M Kong; R L Jirtle
Journal:  Lung Cancer       Date:  1998-02       Impact factor: 5.705

Review 2.  Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy.

Authors:  Sarah L Kerns; Harry Ostrer; Barry S Rosenstein
Journal:  Cancer Discov       Date:  2014-01-17       Impact factor: 39.397

Review 3.  Systemic effects of ionizing radiation at the proteome and metabolome levels in the blood of cancer patients treated with radiotherapy: the influence of inflammation and radiation toxicity.

Authors:  Karol Jelonek; Monika Pietrowska; Piotr Widlak
Journal:  Int J Radiat Biol       Date:  2017-03-30       Impact factor: 2.694

4.  Combining physical and biologic parameters to predict radiation-induced lung toxicity in patients with non-small-cell lung cancer treated with definitive radiation therapy.

Authors:  Matthew H Stenmark; Xu-Wei Cai; Kerby Shedden; James A Hayman; Shuanghu Yuan; Timothy Ritter; Randall K Ten Haken; Theodore S Lawrence; Feng-Ming Spring Kong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-10-01       Impact factor: 7.038

5.  Functional polymorphisms of base excision repair genes XRCC1 and APEX1 predict risk of radiation pneumonitis in patients with non-small cell lung cancer treated with definitive radiation therapy.

Authors:  Ming Yin; Zhongxing Liao; Zhensheng Liu; Li-E Wang; Daniel Gomez; Ritsuko Komaki; Qingyi Wei
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-03-21       Impact factor: 7.038

6.  Predicting the risk of symptomatic radiation-induced lung injury using both the physical and biologic parameters V(30) and transforming growth factor beta.

Authors:  X L Fu; H Huang; G Bentel; R Clough; R L Jirtle; F M Kong; L B Marks; M S Anscher
Journal:  Int J Radiat Oncol Biol Phys       Date:  2001-07-15       Impact factor: 7.038

7.  Detection of circulating tumor DNA in early- and late-stage human malignancies.

Authors:  Chetan Bettegowda; Mark Sausen; Rebecca J Leary; Isaac Kinde; Yuxuan Wang; Nishant Agrawal; Bjarne R Bartlett; Hao Wang; Brandon Luber; Rhoda M Alani; Emmanuel S Antonarakis; Nilofer S Azad; Alberto Bardelli; Henry Brem; John L Cameron; Clarence C Lee; Leslie A Fecher; Gary L Gallia; Peter Gibbs; Dung Le; Robert L Giuntoli; Michael Goggins; Michael D Hogarty; Matthias Holdhoff; Seung-Mo Hong; Yuchen Jiao; Hartmut H Juhl; Jenny J Kim; Giulia Siravegna; Daniel A Laheru; Calogero Lauricella; Michael Lim; Evan J Lipson; Suely Kazue Nagahashi Marie; George J Netto; Kelly S Oliner; Alessandro Olivi; Louise Olsson; Gregory J Riggins; Andrea Sartore-Bianchi; Kerstin Schmidt; le-Ming Shih; Sueli Mieko Oba-Shinjo; Salvatore Siena; Dan Theodorescu; Jeanne Tie; Timothy T Harkins; Silvio Veronese; Tian-Li Wang; Jon D Weingart; Christopher L Wolfgang; Laura D Wood; Dongmei Xing; Ralph H Hruban; Jian Wu; Peter J Allen; C Max Schmidt; Michael A Choti; Victor E Velculescu; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos; Luis A Diaz
Journal:  Sci Transl Med       Date:  2014-02-19       Impact factor: 17.956

8.  Use a survival model to correlate single-nucleotide polymorphisms of DNA repair genes with radiation dose-response in patients with non-small cell lung cancer.

Authors:  Jian-Yue Jin; Weili Wang; Randall K Ten Haken; Jie Chen; Nan Bi; Ramses Sadek; Hong Zhang; Theodore S Lawrence; Feng-Ming Spring Kong
Journal:  Radiother Oncol       Date:  2015-08-04       Impact factor: 6.280

9.  Transforming growth factor-beta plasma dynamics and post-irradiation lung injury in lung cancer patients.

Authors:  Alena Novakova-Jiresova; Mieke M Van Gameren; Rob P Coppes; Harm H Kampinga; Harry J M Groen
Journal:  Radiother Oncol       Date:  2004-05       Impact factor: 6.280

10.  The predictive role of plasma TGF-beta1 during radiation therapy for radiation-induced lung toxicity deserves further study in patients with non-small cell lung cancer.

Authors:  Lujun Zhao; Kerby Sheldon; Ming Chen; Moli S Yin; James A Hayman; Gregory P Kalemkerian; Doug Arenberg; Susan E Lyons; Jeffrey L Curtis; Mary Davis; Kemp B Cease; Dean Brenner; Mitchell S Anscher; Theodore S Lawrence; Feng Ming Kong
Journal:  Lung Cancer       Date:  2007-10-01       Impact factor: 5.705

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  3 in total

1.  Potential future consideration for imaging and blood-based biomarkers for precision medicine in lung cancer.

Authors:  Feng-Ming Spring Kong; Fred R Hirsch; Mitchell Machtay
Journal:  Transl Lung Cancer Res       Date:  2017-12

2.  Prediction of Clinical Outcome in Locally Advanced Non-Small Cell Lung Cancer Patients Treated With Chemoradiotherapy by Plasma Markers.

Authors:  Xin Sui; Leilei Jiang; Huajing Teng; Lan Mi; Bo Li; Anhui Shi; Rong Yu; Dongming Li; Xin Dong; Dan Yang; Huiming Yu; Weihu Wang
Journal:  Front Oncol       Date:  2021-02-17       Impact factor: 6.244

3.  Changes in Blood Biomarkers of Angiogenesis and Immune Modulation after Radiation Therapy and Their Association with Outcomes in Thoracic Malignancies.

Authors:  Eleni Gkika; Sonja Adebahr; Anton Brenner; Tanja Schimek-Jasch; Gianluca Radicioni; Jan-Philipp Exner; Alexander Rühle; Simon K B Spohn; Ilinca Popp; Constantinos Zamboglou; Tanja Sprave; Elke Firat; Gabriele Niedermann; Nils Henrik Nicolay; Ursula Nestle; Anca-Ligia Grosu; Dan G Duda
Journal:  Cancers (Basel)       Date:  2021-11-16       Impact factor: 6.639

  3 in total

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