Literature DB >> 27385985

Evaluation of a novel saliva-based epidermal growth factor receptor mutation detection for lung cancer: A pilot study.

Dan Pu1, Hao Liang1, Fang Wei2, David Akin2, Ziding Feng3, QingXiang Yan3, Yin Li4, Yan Zhen4, Lin Xu5, Gaochao Dong5, Huajing Wan6, Jingsi Dong1, Xiaoming Qiu1, Changlong Qin1, Daxing Zhu1, Xi Wang1, Tong Sun1, Wenbiao Zhang1, Canjun Li1, Xiaojun Tang1, Youlin Qiao7, David T W Wong2, Qinghua Zhou1.   

Abstract

BACKGROUND: This article describes a pilot study evaluating a novel liquid biopsy system for non-small cell lung cancer (NSCLC) patients. The electric field-induced release and measurement (EFIRM) method utilizes an electrochemical biosensor for detecting oncogenic mutations in biofluids.
METHODS: Saliva and plasma of 17 patients were collected from three cancer centers prior to and after surgical resection. The EFIRM method was then applied to the collected samples to assay for exon 19 deletion and p.L858 mutations. EFIRM results were compared with cobas results of exon 19 deletion and p.L858 mutation detection in cancer tissues.
RESULTS: The EFIRM method was found to detect exon 19 deletion with an area under the curve (AUC) of 1.0 in both saliva and plasma samples in lung cancer patients. For L858R mutation detection, the AUC of saliva was 1.0, while the AUC of plasma was 0.98. Strong correlations were also found between presurgery and post-surgery samples for both saliva (0.86 for exon 19 and 0.98 for L858R) and plasma (0.73 for exon 19 and 0.94 for L858R).
CONCLUSION: Our study demonstrates the feasibility of utilizing EFIRM to rapidly, non-invasively, and conveniently detect epidermal growth factor receptor mutations in the saliva of patients with NSCLC, with results corresponding perfectly with the results of cobas tissue genotyping.

Entities:  

Keywords:  EGFR mutation; liquid biopsy; lung cancer; saliva diagnostics

Year:  2016        PMID: 27385985      PMCID: PMC4930962          DOI: 10.1111/1759-7714.12350

Source DB:  PubMed          Journal:  Thorac Cancer        ISSN: 1759-7706            Impact factor:   3.500


Introduction

Lung cancer is the most common cancer and leading cause of cancer death in China and worldwide.1, 2, 3, 4, 5, 6, 7, 8 Non‐small cell lung cancer (NSCLC) constitutes 80% of all lung cancer cases, and is typically diagnosed at an advanced stage when survival rates are low.9, 10, 11, 12, 13, 14, 15 The discovery of a relationship between epidermal growth factor receptor (EGFR)‐activating mutations and EGFR‐tyrosine kinase inhibitors (TKI) has taken the treatment of patients with EGFR mutations into an era of precision medicine.16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 The 2009 Iressa Pan‐Asia Study (IPASS) demonstrated that EGFR‐TKIs are superior to traditional chemotherapeutic agents for patients with EGFR mutant lung cancer, and the current clinical EGFR‐TKIs have become a standard first‐line treatment for patients with non‐squamous NSCLC carrying EGFR mutations.20 Genotyping for EGFR mutations in advanced non‐squamous NSCLC patients is highly recommended in current clinical practice. Epidermal growth factor receptor testing for mutations is traditionally performed on tissues acquired by surgery or biopsy. However, the majority of these diagnoses are on late stage patients in poor physical condition. In these instances, the performance of biopsy or surgery is often impractical because of poor patient health and the risk of additional clinical complications. Moreover, a high proportion of NSCLC patients will develop EGFR‐TKI treatment resistance, and performing additional surgeries or biopsies to monitor for an additional change in EGFR mutation status would further increase the risk to patient health.21, 22, 23, 24, 25, 26 As a result of these limitations, explorations have been made into the feasibility of detecting actionable EGFR oncogenic mutations in biofluids, such as serum or plasma.3, 4, 5, 6, 7, 8 Recent emerging work from the University of California, Los Angeles (UCLA) has demonstrated the feasibility of performing saliva‐based EGFR mutation detection (SABER) based on a core technology called electric field‐induced release and measurement (EFIRM).21 This method is an electrochemical method based on immobilized nucleic acid probes for capturing mutated sequences and applying electric fields to facilitate the hybridization process. Because of the speed and simplicity of the method, EFIRM has the potential to be a suitable tool for oncogenic mutation monitoring in a clinical context. Recently, a randomized, blind study using SABER for NSCLC patients demonstrated high concordance with tumor tissue based genotyping.23 Here, we report the first clinical validation pilot study of EFIRM in Mainland China.

Methods

Patients and clinical specimens

Inpatients with suspicious lesions for lung cancer, treated at three large‐scale major hospitals in China, West China Hospital, Henan Cancer Hospital, and Jiangsu Cancer Hospital, were recruited as subjects for our study. Each study participant had 5 mL saliva and 10 mL blood collected twice on the day before surgery, the day after surgery, and approximately seven days after surgery. Blood plasma samples were collected by drawing blood into ethylenediaminetetraacetic acid tubes, centrifuging at 2500g for 10 minutes at −4°C, and then collecting the upper plasma layer. Samples were stored at −80 °C until analysis. As per previous studies in salivary biomarkers, saliva samples were kept on ice during collection from patients and then centrifuged at 2600g for 15 minutes at 4°C.22 The supernatant was removed from the pellet, treated with RNase inhibitor (Superase‐In, Ambion Inc., Austin, TX, USA), and stored at −80°C for future analyses. All subjects provided informed consent.

Saliva‐based epidermal growth factor receptor (EGFR) mutation detection in bodily fluids

Epidermal growth factor receptor mutations in serum and saliva were detected by EFIRM in blinded samples by trained laboratory personnel. Each plasma and saliva sample was measured in duplicate. Paired probes (capture and detector; TsingKe, Beijing, China) specific to the two TKI‐sensitive mutations were used: for the exon 19 deletion (19 del), a capture probe 5′‐TGT TGC TTC CTTGAT AGC GAC G‐3′ and a detector probe 5′‐GGA ATT TTA ACT TTC TCA CCT‐FITC‐3′; for the L858R point mutation, a capture probe: 5′‐CAG TTT GGC CCG CCC AAA ATC‐3′and detector probe: 5′‐TTG ACA TGC TGC GGT GTT TTC A‐FITC‐3′. The detector probes were labeled with fluorescein isothiocyanate. The EFIRM detection method involves four primary steps.21 First, copolymerization of capture probes with pyrrole onto the bare gold electrodes by applying a cyclic square wave electric. Second, hybridization of the samples with detector and capture probes. Third, the combination of anti‐fluorescein antibody conjugated to horseradish peroxidase (1:1000 dilution; Roche, Indianapolis, IN, USA). Fourth, chromogenesis by 3,3′, 5,5′‐tetramethylbenzidine substrate for horseradish peroxidase and measurement of the amperometric signal. The total detection time of the protocol was less than 10 minutes, and the procedure required 20 to 40 μL of the biological sample.

EGFR mutation detection in tumor tissues

Epidermal growth factor receptor mutations in tumor tissues were detected by cobas assay, which is an allele‐specific real‐time polymerase chain reaction (PCR) system that qualitatively measures the amplification of DNA to detect EGFR gene mutation from DNA derived from freshly frozen tissues. DNA from these tissue specimens was extracted according to the standard procedure delineated in the cobas DNA Sample Preparation Kit (Roche Molecular Systems Inc., Pleasanton, CA, USA).21 This processed involved first incubating the sample with protease and buffer ATL at 56°C until dissolution. Buffer AL was then added for an additional 10 minutes at 70°C. Next, DNA samples were collected by the DNeasy Mini spin column (Qiagen, Valencia, CA, USA). After DNA samples were collected, the amount of DNA was analyzed by spectrophotometer and adjusted to a concentration of 2 ng/μL. Finally, the prepared DNA was amplified and detected by cobas 4800 (Roche Molecular Systems Inc.) following the instructions for the cobas EGFR mutation test. The results were automatically reported in cobas 4800 software.

Statistical analysis

Receiver operating characteristic curves (ROC) and the area under the curve (AUC) with 95% confidence intervals (CI) were calculated to access the ability of EFIRM in detecting EGFR mutations. Correlation coefficients were calculated using Pearson parametric methods. All analyses were performed using SAS 9.2 (SAS Institute Inc., Cary, NC, USA).

Results

The clinical characteristics of patients

A total of 17 randomized patients with adenocarcinoma with EGFR mutation from three different cancer centers in China (10 from West China Hospital, 4 from Henan Cancer Hospital, and 3 from Jiangsu Cancer Hospital) were enrolled. The clinical characteristics of these patients, including gender, age, smoking status, cancer stage, and pathological type, are presented in Table 1.
Table 1

The clinical characteristics of patients in the study

Patient No.GenderAgeSmoking statusHistologic typeStage EGFR status
CobasEFIRM
SalivaPlasma
BeforeAfterBeforeAfter
1M76NNSCLCpT2bN0M0, IIANoNoNoNoNo
2M53YAdenopT2aN1M0, IIAEx19 delEx19 delEx19 delEx19 delEx19 del
3M53YSquapT2bN0M1a, IVNoNoNoNoNo
4M53YAdenopT2bN2M0, IIIAEx19 delEx19 delEx19 delEx19 delEx19 del
5M65YSquapT3N0M0, IIBNoNoNoNoNo
6F72NNSCLCpT3N0M0, IIBG719XNoNoNoNo
7M71YAdenoPT2aN0M0, IBL858RL858RL858RL858RL858R
8M46YAdenopT3N3M0, IIIBNoNoNoNoNo
9M57YSquapT4N0M0, IIIANoNoNoNoNo
10F61NAdenopT2aN20M, IIIAEx19 delNEEx19 delNEEx19 del
11M47YAdenopT2bN2M0, IIIANoNoNoNoNo
12M62YSquapT2aN0M0, IBNoNoNoNoNo
13F51NAdenopT2aN0M0, IIBL858RL858RL858RL858RL858R
14M71NSquapT1aN1M0, IIANoNoNoNoNo
15M50NAdenopT2N2M0, IIIANoNoNoL858RL858R
16M60YSquapT2N0M0, IBNoNoNoNoNo
17M51NAdenopT2N2M0, IIIAL858RL858RL858RL858RL858R

Stage was based on National Comprehensive Cancer Network guidelines 2014, V3.

Adeno, adenocarcinoma; EGFR, epidermal growth factor receptor; EFIRM, electric field‐induced release and measurement; F, female; M, male; NE, no samples; NSCLC, non‐small cell lung cancer; Squa, squamous lung cancer.

The clinical characteristics of patients in the study Stage was based on National Comprehensive Cancer Network guidelines 2014, V3. Adeno, adenocarcinoma; EGFR, epidermal growth factor receptor; EFIRM, electric field‐induced release and measurement; F, female; M, male; NE, no samples; NSCLC, non‐small cell lung cancer; Squa, squamous lung cancer.

Electric field‐induced release and measurement detection of EGFR mutations in saliva and plasma

The strength of the amperometric currents detected by EFIRM represented the status of the EGFR mutation. The saliva samples of three patients taken prior to surgery showed significantly higher currents using exon 19 probes, which meant that they were detected to have EGFR exon 19 del mutations (Fig 1a; 85.3 ± 0.3 nA in the exon 19 del group vs. 51.2 ± 5.6 nA in the L858R mutant and 49.7 ± 7.4 nA in the wild‐type; P < 0.01). Similarly, three patients, whose saliva samples had higher current readouts on EFIRM using the L858R mutant probes, were detected to harbor EGFR L858R mutants (Fig 1b; 114.9 ± 26.5 nA in the L858R mutant group vs. 45.6 ± 0.2 nA in the exon 19 del and 53.6 ± 12.0 nA in the wild‐type; P < 0.01). This detection included the samples collected both before and after surgery to avoid the possibility of tumor cells or DNA dropping into the circulation system by outside forces, and the results showed high consistency (Figs 1a, 2a and 1b, 2b). ROC analysis indicated AUCs of 1 for the probe carrying the exon 19 del and L858R mutation (Figs 1c, 2c).
Figure 1

Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in saliva collected before surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion in saliva; (b) the probe for L858R in saliva; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC] = 1) and L858R mutations (AUC = 1), respectively.

Figure 2

Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in saliva collected after surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion in saliva; (b) the probe for L858R in saliva; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC]= 1) and L858R mutations (AUC = 1), respectively.

Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in saliva collected before surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion in saliva; (b) the probe for L858R in saliva; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC] = 1) and L858R mutations (AUC = 1), respectively. Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in saliva collected after surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion in saliva; (b) the probe for L858R in saliva; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC]= 1) and L858R mutations (AUC = 1), respectively. Plasma samples were collected before and after surgery by EFIRM, except in one patient who only had samples taken after surgery. The results showed three exon 19 deletions (Fig 3a, 85.6 ± 9.6 nA in the exon 19 del group vs. 48.9 ± 8.0 nA in the L858R mutant and 51.1 ± 9.5 nA in the wild‐type; P = 0.001) and four L858R mutations (Fig 4a, 111.4 ± 27.8 nA in the L858R mutant group vs. 46.2 ± 0.7 nA in the exon 19 del and 51.9 ± 11.8 nA in the wild‐type; P < 0.001) before surgery. Similar results were obtained from plasma collected after surgery (Fig 3b, 92.6 ± 18.8 nA in the exon 19 del group vs. 52.9 ± 6.1 nA in the L858R mutant and 51.8 ± 5.4 nA in the wild‐type; P < 0.001; Fig 4b, 108.9 ± 22.2 in the L858R mutant group vs. 45.9 ± 1.7 nA in the exon 19 del and 52.4 ± 13.6 nA in the wild‐type; P < 0.001). The AUCs are shown in Fig 4c, respectively.
Figure 3

Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in plasma collected before surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion; (b) the probe for L858R; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC]= 1) and L858R mutations (AUC = 0.98), respectively.

Figure 4

Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in plasma collected after surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion; (b) the probe for L858R; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC = 1) and L858R mutations (AUC = 0.96), respectively.

Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in plasma collected before surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion; (b) the probe for L858R; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC]= 1) and L858R mutations (AUC = 0.98), respectively. Blinded and randomized detection of epidermal growth factor receptor (EGFR) mutations by electric field‐induced release and measurement assay in plasma collected after surgery from patients with non‐small cell lung cancer: (a) the probe for EGFR exon 19 deletion; (b) the probe for L858R; and (c) receiver operating characteristic curves for detecting EGFR exon 19 deletion (area under the curve [AUC = 1) and L858R mutations (AUC = 0.96), respectively.

Cobas detection of EGFR mutations in tumor tissues

As a result of the approval of cobas for clinical use by the United States Food and Drug Administration and the China Food and Drug Administration, cobas assay is used as the gold standard method of EGFR mutation detection. We detected 17 tissue samples and found six samples harboring EGFR mutation (35.3%; 3 exon 19 del and 3 L858R mutations). We compared the results from EFIRM assay using saliva and plasma with the cobas assay using tumor tissues to evaluate the sensitivity and specificity of EFIRM assay in detecting EGFR mutation. The saliva and plasma samples of three patients that were identified to harbor EGFR exon 19 del with EFIRM were confirmed by cobas assay. Furthermore, these three patients with EGFR L858R mutations also perfectly matched the mutation results for saliva, plasma, and tissue samples. The other 11 patients were EGFR wild‐type in both saliva and tissue samples, which meant that there was a single false positive L858R mutation in plasma sample detection by EFIRM. The specificity and sensitivity was 90.9% and 100%, respectively, by plasma. In addition, all of the patients with EGFR mutation were histologically diagnosed with adenocarcinoma (3 stage III, 2 stage II, and 1 stage I), which indicated that EFIRM assay could maintain a high sensitivity in different cancer stages.

The correlation of EGFR mutation detected before and after surgery

We compared the results from the saliva and plasma collected before and after surgery to evaluate whether surgery affected EGFR mutation status. The strength of the amperometric currents in the saliva samples collected before surgery correlated with those after surgery using the L858R and exon 19 probes (Table 2, R = 0.86 in exon 19 del; R = 0.98 in L858R). Similar results were obtained in plasma samples (Table 2, R = 0.73 in exon 19 del; R = 0.94 in L858R). Additionally, regardless of whether samples were collected before or after surgery, the amperometric currents between saliva and plasma had a strong correlation (Table 2, before surgery: R = 0.87 in exon 19 del and R = 0.67 in L858R; after surgery: R = 0.79 in exon 19 del and R = 0.70 in L858R).
Table 2

The correlation of EGFR mutation detected before and after surgery or biopsy

Probe typePearson
Saliva: pre/post surgery
Exon 19 del0.86
L8580.98
Plasma: pre/post surgery
Exon 19 del0.73
L8580.94
Pre surgery: saliva/plasma
Exon 19 del0.87
L8580.67
Post surgery: saliva/plasma
Exon 19 del0.79
L8580.70

EGFR, epidermal growth factor receptor.

The correlation of EGFR mutation detected before and after surgery or biopsy EGFR, epidermal growth factor receptor.

Discussion

Liquid biopsy to detect actionable mutations in NSCLC in clinical practice is primarily based on digital droplet PCR (ddPCR) and/or next generation sequencing technologies with performance at ~70–80% concordance with tissue‐based genotyping. Technologies that will permit 100% concordance detection (sensitivity) will provide the ultimate complementation to the tumor‐specific fingerprint (specificity) for unambiguous detection of the tumor in a non‐invasive setting.3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 To our knowledge, this is the first pilot study aimed at evaluating a novel saliva‐based EGFR mutation detection system for lung cancer in Mainland China. Our findings clearly show that saliva and plasma assays conducted using the EFIRM method have high concordance with biopsy tissue‐based testing for lung cancer EGFR mutation status. EFIRM liquid biopsy is accurate, non‐invasive, and rapid. It is can be used in continuous monitoring EGFR mutation status during EGFR‐TKI treatment. We demonstrated that the amperometric currents of the EFIRM signals from saliva were highly correlated with those from plasma using the probe designed for p.E746‐A750del and p.L858R, regardless of whether the sample was collected presurgery or post‐surgery (0.70s range). These results suggest that the amount of EGFR mutant DNA in saliva and plasma is correlated. This may have a mechanistic implication, suggesting a link between the peripheral circulatory system and the salivary glands. Previous studies of this link have also found similarly strong correlations.22 However, the precise mechanism by which lung cancer cells release the EGFR mutant DNA and disperse it via the blood to distal sites remains to be established. Another interesting finding in our study was the strong correlations found between presurgery and post‐surgery saliva assays (0.86 and 0.98) and plasma (0.73 and 0.94). This data implies that surgery may not influence EGFR mutant DNA status in saliva or plasma. Saliva collected after biopsy may result in tumor cells or cell‐free DNA that make their way into the saliva after tissue disruption, demonstrating that the detection of EGFR mutation in saliva was not a result of biopsy materials leaking into saliva. Although this cohort of tests was only conducted on a small scale, there were still overlapping current values of EGFR wild type and mutation type at exon 21 L858R in plasma, which may have led to false‐positive results. Previous studies have demonstrated a similar phenomenon at L858R with an unclear threshold between wild type and mutation type.22 A large prospective study will be conducted to determine the adequate and optimal estimate of a threshold to decide the balance between false positive and false negative rates. Electric field‐induced release and measurement can detect EGFR mutations in liquid biopsy from NSCLC patients, but at present this work has mainly focused on EGFR L858R and exon 19 del mutations. Because the second T790M EGFR mutation accounts for half of the TKI‐resistant cases, monitoring the T790M mutation would be useful to estimate EGFR‐TKI resistance. Therefore, development of a new probe designed for EFIRM based on T790M mutation is necessary, and this approach, as with other liquid biopsy‐based EGFR mutation assays (such as circulating tumor cells or cell‐free circulating tumor DNA), might be a valid noninvasive alternative to biopsy, as well as a better tailoring of individualized precision therapy by monitoring the response to treatment in NSCLC patients. In conclusion, our results provide evidence that EFIRM detection of EGFR mutation in the saliva of patients with lung cancer is accurate, non‐invasive, and rapid.

Disclosure

David Wong is a co‐founder of RNAmeTRIX Inc., a molecular diagnostic company. He holds equity in RNAmeTRIX, and serves as a company Director and Scientific Advisor. The University of California also holds equity in RNAmeTRIX. Intellectual property invented by David Wong and patented by the University of California has been licensed to RNAmeTRIX.
  29 in total

1.  [Methodology comparison and influence factors analysis of epidermal growth factor receptor mutation detection].

Authors:  Xiaoyan Qian; Shuai Wang; Yinchen Shen; Di Wu; Zhishang Zhang; Yun Feng; Xiaohong Han; Yuankai Shi
Journal:  Zhonghua Yi Xue Za Zhi       Date:  2015-01-13

2.  Noninvasive saliva-based EGFR gene mutation detection in patients with lung cancer.

Authors:  Fang Wei; Chien-Chung Lin; Aron Joon; Ziding Feng; Gabriel Troche; Maruja E Lira; David Chia; Mao Mao; Chung-Liang Ho; Wu-Chou Su; David T W Wong
Journal:  Am J Respir Crit Care Med       Date:  2014-11-15       Impact factor: 21.405

3.  Report of cancer incidence and mortality in China, 2010.

Authors:  Wanqing Chen; Rongshou Zheng; Siwei Zhang; Ping Zhao; Hongmei Zeng; Xiaonong Zou
Journal:  Ann Transl Med       Date:  2014-07

4.  Cost-effectiveness of multiplexed predictive biomarker screening in non-small-cell lung cancer.

Authors:  Dorothy Romanus; Stephanie Cardarella; David Cutler; Mary Beth Landrum; Neal I Lindeman; G Scott Gazelle
Journal:  J Thorac Oncol       Date:  2015-04       Impact factor: 15.609

5.  Dynamic plasma EGFR mutation status as a predictor of EGFR-TKI efficacy in patients with EGFR-mutant lung adenocarcinoma.

Authors:  Jeng-Sen Tseng; Tsung-Ying Yang; Chi-Ren Tsai; Kun-Chieh Chen; Kuo-Hsuan Hsu; Meen-Hsin Tsai; Sung-Liang Yu; Kang-Yi Su; Jeremy J W Chen; Gee-Chen Chang
Journal:  J Thorac Oncol       Date:  2015-04       Impact factor: 15.609

6.  Detection of epidermal growth factor receptor mutation in non-small-cell lung carcinoma using cytological and histological specimens.

Authors:  Haimiao Xu; Wenyong Sun; Gu Zhang; Yue Cheng
Journal:  J BUON       Date:  2015 Jan-Feb       Impact factor: 2.533

7.  Changes in circulating tumor cell detection in patients with localized breast cancer before and after surgery.

Authors:  Maria T Sandri; Laura Zorzino; Maria C Cassatella; Fabio Bassi; Alberto Luini; Chiara Casadio; Edoardo Botteri; Nicole Rotmensz; Laura Adamoli; Franco Nolè
Journal:  Ann Surg Oncol       Date:  2010-02-05       Impact factor: 5.344

8.  Highly Sensitive Droplet Digital PCR Method for Detection of EGFR-Activating Mutations in Plasma Cell-Free DNA from Patients with Advanced Non-Small Cell Lung Cancer.

Authors:  Guanshan Zhu; Xin Ye; Zhengwei Dong; Ya Chao Lu; Yun Sun; Yi Liu; Rose McCormack; Yi Gu; Xiaoqing Liu
Journal:  J Mol Diagn       Date:  2015-03-11       Impact factor: 5.568

9.  Picoliter-Droplet Digital Polymerase Chain Reaction-Based Analysis of Cell-Free Plasma DNA to Assess EGFR Mutations in Lung Adenocarcinoma That Confer Resistance to Tyrosine-Kinase Inhibitors.

Authors:  Yoshitaka Seki; Yutaka Fujiwara; Takashi Kohno; Erina Takai; Kuniko Sunami; Yasushi Goto; Hidehito Horinouchi; Shintaro Kanda; Hiroshi Nokihara; Shun-ichi Watanabe; Hitoshi Ichikawa; Noboru Yamamoto; Kazuyoshi Kuwano; Yuichiro Ohe
Journal:  Oncologist       Date:  2016-01-14

10.  A new rapid method for detecting epidermal growth factor receptor mutations in non-small cell lung cancer.

Authors:  Miyako Takata; Hiroki Chikumi; Keiji Matsunami; Masahiro Kodani; Tomohiro Sakamoto; Kazuhiro Hashimoto; Masaki Nakamoto; Kensaku Okada; Tsuyoshi Kitaura; Shingo Matsumoto; Jun Kurai; Akira Yamasaki; Tadashi Igishi; Naoto Burioka; Eiji Shimizu
Journal:  Oncol Rep       Date:  2015-01-14       Impact factor: 3.906

View more
  30 in total

1.  Role of Saliva and Salivary Diagnostics in the Advancement of Oral Health.

Authors:  C Dawes; D T W Wong
Journal:  J Dent Res       Date:  2019-02       Impact factor: 6.116

Review 2.  Clinical validity of saliva and novel technology for cancer detection.

Authors:  Karolina Elżbieta Kaczor-Urbanowicz; Fang Wei; Shannon Liu Rao; Jinseok Kim; Heebum Shin; Jordan Cheng; Michael Tu; David T W Wong; Yong Kim
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2019-05-30       Impact factor: 10.680

Review 3.  Circulating Tumor DNA for Mutation Detection and Identification of Mechanisms of Resistance in Non-Small Cell Lung Cancer.

Authors:  Kay T Yeung; Soham More; Brian Woodward; Victor Velculescu; Hatim Husain
Journal:  Mol Diagn Ther       Date:  2017-08       Impact factor: 4.074

Review 4.  Liquid Biopsy in Primary Brain Tumors: Looking for Stardust!

Authors:  Maxime Fontanilles; Alberto Duran-Peña; Ahmed Idbaih
Journal:  Curr Neurol Neurosci Rep       Date:  2018-03-09       Impact factor: 5.081

5.  Salivary biomarkers for cancer diagnosis: a meta-analysis.

Authors:  Óscar Rapado-González; Cristina Martínez-Reglero; Ángel Salgado-Barreira; Bahi Takkouche; Rafael López-López; María Mercedes Suárez-Cunqueiro; Laura Muinelo-Romay
Journal:  Ann Med       Date:  2020-04-11       Impact factor: 4.709

Review 6.  Saliva Diagnostics.

Authors:  Taichiro Nonaka; David T W Wong
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2022-06-13       Impact factor: 12.400

Review 7.  Salivary biomarkers in cancer detection.

Authors:  Xiaoqian Wang; Karolina Elżbieta Kaczor-Urbanowicz; David T W Wong
Journal:  Med Oncol       Date:  2016-12-10       Impact factor: 3.064

Review 8.  Saliva-Exosomics in Cancer: Molecular Characterization of Cancer-Derived Exosomes in Saliva.

Authors:  Taichiro Nonaka; David T W Wong
Journal:  Enzymes       Date:  2017-10-09

Review 9.  Circulating Tumor DNA Assays in Clinical Cancer Research.

Authors:  Miguel R Ossandon; Lokesh Agrawal; Eric J Bernhard; Barbara A Conley; Sumana M Dey; Rao L Divi; Ping Guan; Tracy G Lively; Tawnya C McKee; Brian S Sorg; James V Tricoli
Journal:  J Natl Cancer Inst       Date:  2018-09-01       Impact factor: 13.506

10.  Electric Field-Induced Release and Measurement Liquid Biopsy for Noninvasive Early Lung Cancer Assessment.

Authors:  Fang Wei; Charles M Strom; Jordan Cheng; Chien-Chung Lin; Ching-Yun Hsu; Guy W Soo Hoo; David Chia; Yong Kim; Feng Li; David Elashoff; Tristan Grognan; Michael Tu; Wei Liao; Rena Xian; Wayne W Grody; Wu-Chou Su; David T W Wong
Journal:  J Mol Diagn       Date:  2018-10-08       Impact factor: 5.568

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.