Literature DB >> 25157833

Circulating cell-free DNA in serum as a biomarker for diagnosis and prognostic prediction of colorectal cancer.

T B Hao1, W Shi2, X J Shen2, J Qi2, X H Wu2, Y Wu1, Y Y Tang1, S Q Ju3.   

Abstract

BACKGROUND: To verify whether the concentrations and integrity index of circulating cell-free DNA (ccf-DNA) in serum may be clinically useful for the diagnosis and progression monitoring of colorectal cancer (CRC) patients.
METHODS: Serum samples were collected from 104 with primary CRC, 85 with operated CRC, 16 with recurrent/metastatic CRC, 63 patients with intestinal polyps and 110 normal controls. Long (247 bp) and short (115 bp) DNA fragments in serum were detected by real-time quantitative PCR by amplifying the ALU repeats (ALU-qPCR). Serum carcinoembryonic antigen (CEA) level was detected by ARCHITECT assay.
RESULTS: The median absolute serum ALU115 and ALU247/115 in primary CRC group was significantly higher than those in intestinal polyp and normal control groups (both P<0.0001), in recurrent/metastatic CRC was significantly higher compared with primary CRC (P=0.0021, P=0.0018) or operated CRC (P<0.0001, respectively) and during follow-up, ALU115 and ALU247/115 were increased before surgery and decreased significantly after surgery.
CONCLUSIONS: Combined detection of ALU115, ALU247/115 and CEA could improve the diagnostic efficiency for CRC. Serum DNA concentrations and integrity index may be valuable in early complementary diagnosis and monitoring of progression and prognosis of CRC.

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Year:  2014        PMID: 25157833      PMCID: PMC4200099          DOI: 10.1038/bjc.2014.470

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Colorectal cancer (CRC) is the third most common newly diagnosed cancer and the third most common cause of cancer death among US men and women. It is also a worldwide problem, with an annual incidence of one million cases and an annual mortality of more than 500 000 cases (Ferlay ; Jemal ). The overall survival of CRC tends to be poor, mainly because most CRC cases are in late stages at the time of diagnosis, and thus losing the opportunity for access to timely and standard treatment. Approximately 50% of CRC patients ultimately died from distant metastasis (Mutch, 2007). Therefore, the key to CRC treatment is early detection and diagnosis. Multiple serum markers including carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) have been well recognised as tumour markers for CRC. However, not all CRC cases can be diagnosed by CEA or CA19-9 alone owing to unstable detection and incremental concentrations in benign diseases (Ludwig and Weinstein, 2005), and CEA only has a sensitivity of 43% (Keesee ). Therefore, there is an urgent need to find a noninvasive biomarker that can be commonly applied for screening diagnosis, ‘early' adjuvant detection of recurrence and monitoring of metastatic CRC (MCRC). Circulating cell-free DNA (ccf-DNA) in serum or plasma is a promising candidate biomarker for detection, monitoring and prognostic prediction of malignant tumours (Taback and Hoon 2004a, 2004b; Fujimoto ; Chan ). A study by Leon suggested that the ccf-DNA concentration was significantly increased in cancer patients compared with that in healthy individuals, which was also confirmed by other studies (Sozzi ; Banki ; Zhong ; Zachariah ; Ellinger ; Hohaus ; Paci ; Hauser ; Czeiger ; Chen ; Qi ). Some recent studies have demonstrated that DNA integrity index measured as the ratio of long to short DNA fragments is higher in patients with gynaecologic and breast tumours (Wang ; Umetani ; Holdenrieder ), gastrointestinal and hepatocellular tumour (Umetani ; Holdenrieder ; Mead ; Chen ; da Silva Filho ), urologic tumour (Hanley ; Holdenrieder ; Gang ; Feng ), head and neck tumour (Jiang ), nasopharyngeal tumour (Chan ), melanoma (Pinzani ), acute leukaemia (Gao ) and malignant pleural effusion (Sriram ) than that in healthy controls. These studies are based on the hypothesis that ccf-DNA released from apoptotic cells is uniformly truncated into 185- to 200-bp fragments (Giacona ; Umetani ). However, ccf-DNA released from necrotic tumour cells varies in length, which may lead to elevation of DNA with long fragments in serum or plasma (Jahr ; Umetani ). Hence, as a minimally invasive biomarker for malignancies, ccf-DNA and its integrity in blood has the high potential for cancer detection and prognosis. In this study, we measured ccf-DNA fragments by real-time quantitative polymerase chain reaction of ALU repeats (ALU-qPCR) on 378 serum samples. Our aim was (1) to extract ccf-DNA by a new accurate and reproducible technique and evaluate this new technique in measuring serum ccf-DNA; (2) compare total levels of ccf-DNA and DNA integrity between normal controls, patients with intestinal polyps and CRC patients to see whether serum ccf-DNA could help diagnose, monitor disease progression and predict prognosis of CRC; and (3) explore the feasibility of combination detection of ccf-DNA and CEA for the diagnosis of CRC and see whether there is any significant correlation between total level of ccf-DNA, DNA integrity and clinical parameters.

Materials and methods

Subjects and sample collection

Serum samples from 205 CRC patients, 63 patients with intestinal polyps and 110 normal controls were collected. The CRC group consisted of 104 primary CRC patients, 85 operated patients and 16 patients with recurrent CRC/MCRC. Continuously, serum samples were collected in 20 of the 104 primary CRC patients who received surgery and were followed up for 1–120 days. The blood samples were obtained from the Departments of General Surgery and Gastroenterology at the Affiliated Hospital of Nantong University between August 2012 and November 2013. The diagnosis of all 205 CRC patients was histologically confirmed. The 110 normal controls were selected from volunteer blood donors of Nantong Blood Center who had no history of autoimmune disease or tissue injury or trauma at the time of examination. Informed consent was obtained from all volunteers before the blood was drawn. All samples were anonymous with written informed consent. The study was approved by the Human Research Ethics Committee of the Affiliated Hospital of Nantong University. Sera were separated by centrifuging the blood samples at 1600 g for 10 min and stored at −80 °C for DNA extraction and ARCHITECT assay.

Serum DNA extraction

Serum DNA was extracted using a fast high-throughput automated extraction method that can produce high yields of DNA from serum samples. Based on the principle of magnetic bead adsorption, magnetic beads were released through special magnet adsorption to accomplish the shift between magnetic beads and nucleic acids. After automatic extraction and purification of nucleic acid, DNA from 200 μl equivalent volume of serum was extracted using Magnetic Bead DNA Extraction Kit (Tianlong, Xi'an, China) by Nucleic Acid Extraction System (Tianlong NP968, Xi'an, China) following the manufacturer's instructions. DNA was then stored at −80 °C until further analysis.

Real-time ALU-PCR

To assess the concentration and integrity index of serum ccf-DNA, both short fragment (115 bp) and long fragment (247 bp) from a consensus sequence with abundant genomic ALU repeats were amplified and quantified as described previously (Umetani , 2006b). The ALU115-bp primer amplified both short (apoptotic) and long (non-apoptotic) DNA fragments, whereas the ALU247-bp primer amplified long non-apoptotic DNA fragments only. The ALU-qPCR result obtained with ALU115 primers represents the total amount of serum DNA. DNA integrity index was calculated as the ratio of ALU-qPCR result (ALU247 and ALU115). The sequences of the primers were as follows: ALU115 – forward, 5′-CCTGAGGTCAGGAGTTCGAG-3′ and reverse, 5′-CCCGAGTAGCTGGGATTACA-3′ ALU247 – forward, 5′-GTGGCTCACGCCTGTAATC-3′ and reverse, 5′-CAGGCTGGAGTGCAGTGG-3′. The reaction mixture for each ALU-qPCR contained 5 μl DNA template, 0.5 μl of the each forward and reverse primer (ALU115 or ALU247), 10 μl SYBR Green Master Mix (Rox, Weitefeld, Germany) and 4 μl double-distilled water in a total reaction volume of 20 μl with 95 °C for 10 min, followed by 35 cycles of 95 °C for 15 s, and annealing at 64 °C for 1 min in 7500 Real-Time PCR System (ABI, Abilene, TX, USA). ALU-qPCR reaction conditions were optimised to yield optimal results to suit the equipment, reagents and conditions of our laboratory. The absolute equivalent amount of serum DNA fragments in each sample was determined using a standard curve with serial dilutions (from 0.222 to 22 200 ng ml−1) of human genomic DNA (Promega, Madison, WI, USA) from multiple anonymous donors. Standard curves were created for both ALU115 and ALU247 primer sets by PCR amplifying 10-fold serially diluted human genomic DNA samples (Supplementary Figure 1A). A melting curve was drawn after each PCR to insure only one peak was amplified for all samples (Supplementary Figure 1B). Each plate consisted of a serum DNA sample and a negative control (water template) and a positive control (human genomic DNA) in each plate run. Each assay was carried out in duplicate. Laboratory personnel performing the qPCR assays was blinded to the clinical diagnoses of the patients.

Reference value of serum DNA

The concentration of ccf-DNA (ALU115 and ALU247) in each sample was calculated according to the standard curve. DNA integrity index was calculated as the ratio of qPCR result (ALU247/115). A receiver-operating characteristic (ROC) curve was created to select the Youden's index (Youden's index=sensitivity+specificity−1) (Fluss ; Nakas ; Yin and Tian, 2014), and the highest sensitivity and specificity were selected as the cutoff values. A value greater than or equal to the cutoff value was considered positive, and smaller values were regarded as negative.

ARCHITECT assay

The concentrations of CEA in the serum samples from CRC patients were determined in the Clinical Pathology Laboratory of the Affiliated Hospital of Nantong University by ARCHITECT I2000 SR (Abbott, Chicago, IL, USA). A content of CEA >5 ng ml−1 was considered abnormal.

Statistical analysis

The Mann–Whiney U-test was used to compare the ALU115 or ALU247/115 of serum DNA between CRC patients and controls. Kruskal–Wallis H-test was used for multiple comparisons between the groups. Receiver-operating characteristic curves and area under the ROC curve (AUC) were used to assess the diagnostic value of using ALU115, ALU247/115 and CEA for CRC. Statistical analyses were performed using SPSS Statistics 17.0 software (SPSS Inc., Chicago, IL, USA) and results were considered statistically significant at P<0.05 (two tailed). The corresponding experimental figures were drawn using GraphPad Prism v 5.0 software (Graphpad Software Inc, La Jolla, CA, USA).

Results

The absolute concentration and integrity index of serum DNA in normal controls, intestinal polyp patients and primary CRC patients

Normal controls

The median (IQR 25–75) age of the 110 normal controls (56 males and 54 females) was 49 (40.75–59.00) years. The median absolute serum DNA concentration (ALU115) was 385.4 (205.7–597.1) ng ml−1 and the median serum DNA integrity index (ALU247/115) was 0.38 (0.29–0.49) in normal controls. The ALU115 and ALU247/115 of serum DNA in normal controls were independent of sex and age.

Intestinal polyps

The median age of the 63 intestinal polyp patients (44 males and 19 females) was 61 (52.00–68.00) years, in whom the median ALU115 was 423.3 (254.5–608.9) ng ml−1 and the median ALU247/115 was 0.41 (0.33–0.50). There was no statistical difference in ALU115 and ALU247/115 of serum DNA between the patients with intestinal polyps and normal controls (P>0.05) (Figure 1).
Figure 1

Scatter plots of ALU115 and ALU247/115 in serum from normal controls, intestinal polyp patients and primary CRC patients. (A) ALU115 and (B) ALU247/115 were determined by ALU-qPCR. The Mann–Whiney U-test was used to compare the ALU115 and ALU247/115 of serum DNA between the primary CRC patients and controls. P-values <0.05 were considered statistically significant. Horizontal lines indicate the median for each group. The dashed line indicates the cutoff value. Abbreviation: NS=no statistically significant difference.

Primary CRC patients

The median age of the 104 primary CRC patients (58 males and 46 females) was 66 (53.25–74.00) years. The median ALU115 and ALU247/115 in primary CRC patients were 1046.0 (582.7–1694.0) ng ml−1 and 0.62 (0.51–0.65), respectively, which were significantly higher than those in normal controls and intestinal polyp patients (both P<0.0001). Youden index was maximal when ALU115 was 694.0 ng ml−1 and ALU247/115 was 0.52, and therefore these two values were defined as the cutoff value of ALU115 and ALU247/115, respectively (Figure 1).

Clinical characteristics of primary CRC patients

Serum samples were enrolled from a total of 104 primary CRC patients. An analysis on ALU115 and ALU247/115 in different subgroups of primary CRC patients with respect to gender, age, tumour size, tumour site, histologic differentiation, tumour stage (TNM) and intestinal polyps indicates that ALU115 and ALU247/115 in primary CRC patients were correlated with age, histologic differentiation and tumour stage (P<0.05) (Table 1).
Table 1

ALU115 and ALU247/115 of serum DNA in subgroups of primary CRC patients (n=104)

 
 
ALU115 (ngml−1)
ALU247/115
Clinical characteristicsNo.Median (IQR 25–75)P-valueMedian (IQR 25–75)P-value
All
104
1046.0 (582.7–1694.0)
 
0.62 (0.51–0.65)
 
Age (years)
 
 
0.026
 
0.043
 ⩽60451262.0 (749.0–2359.0) 0.63 (0.53–0.68) 
 >60
59
857.5 (479.4–1449.0)
 
0.59 (0.47–0.64)
 
Gender
 
 
0.255
 
0.191
 Male581098.0 (639.9–1993.0) 0.62 (0.53–0.67) 
 Female
46
1028.0 (500.3–1456.0)
 
0.61 (0.47–0.64)
 
Tumour size (cm)
 
 
0.869
 
0.683
 ⩽5661125.0 (604.6–1709.0) 0.62 (0.51–0.66) 
 >5
38
937.8 (541.7–2051.0)
 
0.60 (0.49–0.66)
 
Tumour site
 
 
0.87
 
0.604
 Left191374.0 (593.0–2182.0) 0.64 (0.46–0.68) 
 Right231079.0 (611.0–2007.0) 0.61 (0.51–0.65) 
 Transverse61343.0 (1052.0–2387.0) 0.63 (0.58–0.68) 
 Rectal
56
930.1 (536.7–1577.0)
 
0.60 (0.48–0.65)
 
Histologic differentiation
 
 
0.022
 
0.038
 High21555.5 (419.1–864.7) 0.52 (0.45–0.60) 
 Middle691079.0 (609.7–1470.0) 0.62 (0.51–0.64) 
 Low
14
2679.0 (1910.0–3310.0)
 
0.69 (0.65–0.75)
 
Tumour stage (TNM)
 
 
0.005
 
0.011
 I–II54935.9 (412.4–1456.0) 0.60 (0.46–0.64) 
 III–IV351374.0 (785.0–2535.0) 0.63 (0.58–0.68) 
 Not evaluable
15
828.7 (510.4–2124.0)
 
0.59 (0.47–0.67)
 
Intestinal polyps
 
 
0.577
 
0.685
 With221296.0 (410.9–2362.0) 0.63 (0.47–0.68) 
 Without821028.0 (584.7–1690.0) 0.61 (0.51–0.65) 

Abbreviations: CRC=colorectal cancer; IQR=interquartile range; TNM=tumour node metastasis.

Quantitative detection of CEA

The median serum CEA concentration was 3.4 (<0.5–710.5) ng ml−1 in primary CRC patients vs 1.6 (0.3–4) ng ml−1 in the normal controls, showing a significant difference between them (P<0.05).

Diagnostic utility of serum ALU115, ALU247/115 and CEA in primary CRC patients

Serum ALU115, ALU247/115 and CEA levels were determined in the 104 primary CRC patients and 110 normal controls (Table 2). Receiver-operating characteristic curves were drawn for distinguishing primary CRC patients from normal controls (Figure 2).
Table 2

ALU115, ALU247/115 and CEA in primary CRC patients and normal controls, median (IQR 25–75)

MarkerPrimary CRCNormal controlsCutoffAUCP-value
ALU115 (ng ml−1)
1046.0 (582.7–1694.0)
385.4 (205.7–597.1)
694
0.85
<0.0001
ALU247/115
0.62 (0.51–0.65)
0.38 (0.29–0.49)
0.52
0.89
<0.0001
CEA (ng ml−1)3.4 (<0.5–710.5)1.6 (0.3–4.0)50.78<0.0001

Abbreviations: AUC=area under the ROC curve; CEA=carcinoembryonic antigen; CRC=colorectal cancer; IQR=interquartile range.

Figure 2

Receiver-operating characteristic curves for distinguishing primary CRC patients from normal controls. The AUC of ALU115, ALU247/115 and CEA was 0.85 (95% CI: 0.81–0.91), 0.89 (95% CI: 0.85–0.93) and 0.78 (95% CI: 0.72–0.84), respectively.

The AUC for distinguishing primary CRC patients from normal controls by ALU115 was 0.85 (95% CI: 0.81–0.91). Youden index was maximal when the concentration of ccf-DNA was 694.0 ng ml−1, and therefore it was defined as the cutoff value. At this cutoff value, the sensitivity was 69.23% (95% CI: 59.42–77.90) at a specificity of 99.09% (95% CI: 95.04–99.98), the accuracy was 84.58%, the positive predictive value was 98.63% and the negative predictive value was 77.30%. The AUC of serum ALU247/115 was 0.89 (95% CI: 0.85–0.93). When 0.52 was defined as the cutoff value, the sensitivity was 73.08% (95% CI: 63.49–81.31) at a specificity of 97.27% (95% CI: 92.24–99.43), and the accuracy, positive predictive value and negative predictive value were 85.51%, 96.20% and 79.26%, respectively. The AUC of serum CEA was 0.78 (95% CI: 72.9–84.9). When 5 ng ml−1 was defined as the cutoff value, the sensitivity was 42.31% (95% CI: 31.77–51.42) at a specificity of 100% (95% CI: 96.70–100), and the accuracy, positive predictive value and negative predictive value were 71.96%, 100% and 64.71%, respectively (Figure 2 and Table 3).
Table 3

Diagnostic value of ALU115, ALU247/115 and CEA for primary CRC patients

Marker% Sensitivity% Specificity% Accuracy% Positive predictive value% Negative predictive value
ALU115
69.23 (72/104)
99.09 (109/110)
84.58 (181/214)
98.63 (72/73)
77.3 (109/141)
ALU247/115
73.08 (76/104)
97.27 (107/110)
85.51 (183/214)
96.2 (76/79)
79.26 (107/135)
CEA
42.31 (44/104)
100 (110/110)
71.96 (154/214)
100 (44/44)
64.71 (110/170)
ALU115+CEA
82.69 (86/104)
99.09 (109/110)
91.12 (195/214)
98.85 (86/87)
85.82 (109/127)
ALU247/115+CEA
84.62 (88/104)
97.27 (107/110)
91.12 (195/214)
96.7 (88/91)
86.99 (107/123)
ALU115+ALU247/115+CEA85.57 (89/104)97.27 (107/110)91.59 (196/214)96.74 (89/92)87.7 (107/122)

Abbreviations: CEA=carcinoembryonic antigen; CRC=colorectal cancer.

Detection of ALU115 and ALU247/115 in combination with CEA

Compared with the diagnostic efficiency of ALU115, ALU247/115 or CEA alone, combined detection improved the diagnostic efficiency of primary CRC to some extent (Table 3).

The absolute concentration and integrity index of serum DNA in operated, recurrent CRC/MCRC patients

The median (IQR 25–75) age of the 85 operated CRC patients (46 males and 39 females) was 62 (51.00–69.00) years. The median ALU115 and ALU247/115 in these operated CRC patients were 524.1 (247.7–775.1) ng ml−1 and 0.48 (0.35–0.55), respectively, which were significantly lower than those in primary CRC and recurrent CRC/MCRC patients (both P<0.0001) (Figure 3).
Figure 3

Scatter plots of serum ALU115 and ALU247/115 from primary, operated and recurrent CRC/MCRC patients. (A) ALU115 and (B) ALU247/115 were determined by ALU-qPCR. The Mann–Whiney U-test was used to assess the ALU115 and ALU247/115 of serum DNA between primary, operated and recurrent CRC/MCRC patients. P-values <0.05 were considered statistically significant. Horizontal lines indicate the median for each group.

The median age of the 16 recurrent CRC/MCRC patients (11 males and 5 females) was 68 (52.50–72.75) years. The median ALU115 and ALU247/115 in these patients were 2228.1 (1293.0–3478.0) ng ml−1 and 0.68 (0.63–0.77), respectively, which were significantly higher than those in primary (P=0.0021, P=0.0018) and operated CRC patients (both P<0.0001) (Figure 3).

Ccf-DNA dynamics in postoperative CRC patients

Pre- and postoperative ccf-DNA was measured in 20 of the 104 primary CRC who received surgery and were followed up. ALU115 and ALU247/115 of serum DNA determined before surgery (day 0) in these patients varied widely, ranging from 695.5 to 6987 (median 1142.0) ng ml−1 and 0.49–0.95 (median 0.62), respectively (Table 4).
Table 4

Ccf-DNA in pre- and postoperative CRC, median (IQR 25–75) (n=20)

 
Preoperative
Postoperative
MarkerDay 0Days 1–10Days 20–50Days 60–120
ALU115 (ng ml−1)
1142 (927.0–1835.0)
1268 (1045.0–1949.0)
668.3 (563.8–811.8)
282.2 (214.5–424.9)
ALU247/1150.62 (0.59–0.66)0.63 (0.61–0.66)0.48 (0.45–0.55)0.35 (0.33–0.44)

Abbreviations: Ccf=circulating cell-free; CRC=colorectal cancer; IQR=interquartile range.

At the first postoperative follow-up visit on 1–10 days, 75% of CRC patients displayed a slight increase in ALU115 and ALU247/115, and the remaining 25% of CRC patients displayed a linear or sharp decrease in ALU115 and ALU247/115. In general, ALU115 ranged from 929.7 to 2652.0 (median 1268.0) ng ml−1, and ALU247/115 ranged from 0.59 to 0.68 (median 0.63). At 20–50 days after surgical intervention, a sharp drop in ALU115 and ALU247/115 was observed in these 20 subjects. ALU115 ranged from 234.7 to 974.0 (median 668.3) ng ml−1, and ALU247/115 ranged from 0.34 to 0.59 (median 0.48). At 60–120 days after surgery, ALU115 ranged from 90.0 (median 282.2) ng ml−1, and ALU247/115 ranged from 0.23 to 0.48 (median 0.35) (Figure 4).
Figure 4

Line charts of pre- and postoperative serum ALU115 and ALU247/115 in CRC patients. (A) ALU115 and (B) ALU247/115 were determined by ALU-qPCR, and ccf-DNA was monitored in the 20 surgical CRC patients.

There was a general trend that ALU115 and ALU247/115 were significantly higher before surgery, and decreased progressively in the follow-up period after surgery.

Discussion

The detection of ccf-DNA has been recognised as a promising candidate biomarker for early detection and prognosis monitoring of CRC. The extraction methods for ccf-DNA mainly included the phenolchloroform method (PCI-glycogen), the sodium iodide method (NaI method), various commercial DNA isolation kits and the magnetic bead method. Different DNA extraction methods from serum of CRC were compared (Supplementary Table 1). Analogously, comparison of serum/plasma DNA extraction methods for detecting Mycobacterium tuberculosis (MTB) by real-time PCR was published by Pan . Their study was to compare the four DNA extraction methods (phenolchloroform method, Qiagen Kit (Qiagen, Hilden, Germany), Omega Kit (Omega, Norcross, GA, USA) and magnetic bead method) for detecting MTB, and use the best one in the diagnosis of MTB. The highest MTB DNA concentration was observed using the magnetic bead method, which is the best one for the DNA extraction of MTB (Supplementary Table 2). In our study, ccf-DNA from 200 μl equivalent volume of serum was extracted using a novel nucleic acid-automated magnetic bead-based approach; furthermore, we measured the serum DNA concentration (ALU115) and DNA integrity index (ALU247/115) by real-time PCR amplification of 115- and 247-bp sequence within ALU repeats on the basis of previous frameworks (Wang ; Umetani , 2006b). The result showed that the median serum ALU115 in 104 primary CRC patients was 1046.0 ng ml−1, in 85 operated CRC patients was 524.1 ng ml−1 and in 16 recurrent CRC/MCRC patients was 2228.1 ng ml−1. We also repeated this extracting method for 81 gastric cancer (GC) patients, 13 patients with gastric polyps and 17 pancreatic cancer (PC) patients, and detected serum ALU115 and ALU247/115 by ALU-qPCR. Results indicated that the median serum ALU115 was 1034 (449.5–2045.0) ng ml−1 and the median ALU247/115 was 0.58 (0.42–0.68) in GC patients, which were significantly higher than those in gastric polyps (394.2 ng ml−1, 0.39) and 110 normal controls (385.4 ng ml−1, 0.38) (both P<0.01). The median serum ALU115 and ALU247/115 in PC patients were 1239 (820.2–1924.0) ng ml−1 and 0.60 (0.52–0.70), respectively, which were remarkably higher than those in 110 normal controls (385.4 ng ml−1, 0.38) (P<0.01). The new magnetic bead method has proved to be fast and high throughput, and can produce high yields of DNA with minimum human errors, thus guaranteeing high reproducibility. The ALU sequences were chosen, knowing that they are the most abundant and active repeated elements in the human genome, typically 300 nucleotides in length, accounting for more than 10% of the genome (Dagan ; Cardelli, 2011). Species specificity and highly repeatability of ALU sequences can be used for sensitive quantification of human genomic DNA in neoplastic specimen extracts (Umetani , 2006b; Zou ; Mead ; Sriram ; Feng ; Qi ) or quantify human tumour xenograft burden in murine and integrated HIV-1 DNA in infected HeLa cells (Brussel and Sonigo, 2003). It was found that ccf-DNA in patients with primary CRC was significantly higher than that in patients with intestinal polyps and healthy controls (both P<0.0001). In addition, ccf-DNA was found to be significant correlated with age, histologic differentiation and tumour stage (TNM) in patients with primary CRC (P<0.05). Compared with colorectal polyps, primary CRC patients with low levels of the ccf-DNA were found in 33 out of 104 specimens, and 9 had stage I (T1–2N0M0) disease, 12 had stage II (T3–4N0M0), 6 had stage III (TanyN1–2M0) and 6 had not been evaluated. Additional patients would need to be recruited to our study to explore further the role of the aggressive cancers at different stages of CRC. In this translational study, we evaluated the diagnostic utility of ccf-DNA absolute concentration, DNA integrity index and CEA by ALU-qPCR in 277 serum samples from patients with primary CRC or intestinal polyps and normal controls. Receiver-operating characteristic curve AUC of ALU115, ALU247/115 index and CEA levels for distinguishing primary CRC patients from normal controls was 0.85, 0.89 and 0.78, respectively, indicating that the AUC of DNA integrity index is higher than ALU115 and CEA. Compared with the diagnostic efficiency of ALU115, ALU247/115 or CEA alone, combined detection improved the diagnostic efficiency of primary CRC to some extent. Flamini compared the sensitivity and specificity of ccf-DNA with the conventional serum marker CEA and found that ccf-DNA, when used in combination with CEA, was a potentially useful tool for the diagnosis of early-stage CRC. Our results showed that combined detection of ALU115, ALU247/115 and CEA improved the diagnostic efficiency of primary CRC. To the best of our knowledge, this is the first study that reported combined detection of DNA integrity index and CEA to improve the diagnostic efficiency of CRC through quantification of ALU repeats. Many studies (Frattini ; Diehl ) have demonstrated that ccf-DNA level is remarkably high in CRC patients during recurrence/metastasis. It was found in our study that ccf-DNA was detectable in 101 serum samples from operated and recurrent CRC/MCRC patients, and that ALU115 and ALU247/115 were significantly higher in recurrent CRC/MCRC patients than those in operated CRC patients, suggesting that ccf-DNA may prove to be a promising candidate biomarker for prognostic prediction of CRC. Finally, we assessed ccf-DNA dynamics in surgical CRC patients. Follow-up data obtained from 20 of these patients showed that there was a general trend of decrease in ALU115 and ALU247/115 after surgery as compared with those before surgery, although the rate of decrease after surgery was different in all cases. For instance, a linear or sharp decrease was observed in some cases, whereas there was a slight increase in some other cases at the first follow-up visit 1–10 days. This slight increase may be because of the residual tumour tissue during the surgical procedure or postoperative inflammation, with subsequent release of ccf-DNA. A marked decrease was observed almost in all cases 20–120 days after surgery. Therefore, detection of changes in the serum concentration of ccf-DNA and integrity index may prove useful for dynamic monitoring of the prognosis of CRC patients who underwent surgical intervention. In conclusion, the automated magnetic bead-based technique is accurate and reproducible for extraction of ccf-DNA in serum samples, and a routine test for ccf-DNA fragments by real-time PCR with ALU repeats is feasible. ALU115 and ALU247/115 index in serum are significantly higher in patients with primary CRC than those in patients with intestinal polyps and healthy controls. Combined detection of ALU115, ALU247/115 and CEA could improve the diagnostic efficiency for CRC. Serum DNA concentrations and integrity index may be valuable in early complementary diagnosis and monitoring of progression and prognosis of CRC. Further larger-scale and longer prospective studies are needed to confirm the clinical utility of serum DNA in the diagnosis and prognostic prediction of CRC.
  48 in total

1.  Increased integrity of circulating cell-free DNA in plasma of patients with acute leukemia.

Authors:  Yu-Jie Gao; Yu-Juan He; Zai-Lin Yang; Hui-Yuan Shao; Yan Zuo; Yao Bai; Hui Chen; Xian-Chun Chen; Feng-Xian Qin; Shi Tan; Jian Wang; Li Wang; Ling Zhang
Journal:  Clin Chem Lab Med       Date:  2010-09-13       Impact factor: 3.694

Review 2.  Biomarkers in cancer staging, prognosis and treatment selection.

Authors:  Joseph A Ludwig; John N Weinstein
Journal:  Nat Rev Cancer       Date:  2005-11       Impact factor: 60.716

3.  Joint confidence region estimation for area under ROC curve and Youden index.

Authors:  Jingjing Yin; Lili Tian
Journal:  Stat Med       Date:  2013-09-30       Impact factor: 2.373

4.  Elevated level of cell-free plasma DNA is associated with breast cancer.

Authors:  Xiao Yan Zhong; Ariane Ladewig; Seraina Schmid; Edward Wight; Sinuhe Hahn; Wolfgang Holzgreve
Journal:  Arch Gynecol Obstet       Date:  2007-03-13       Impact factor: 2.344

5.  Value of circulating cell-free DNA in diagnosis of hepatocelluar carcinoma.

Authors:  Ken Chen; Hong Zhang; Li-Na Zhang; Shao-Qing Ju; Jing Qi; Dong-Feng Huang; Feng Li; Qun Wei; Jing Zhang
Journal:  World J Gastroenterol       Date:  2013-05-28       Impact factor: 5.742

Review 6.  Utilization of nuclear matrix proteins for cancer diagnosis.

Authors:  S K Keesee; J V Briggman; G Thill; Y J Wu
Journal:  Crit Rev Eukaryot Gene Expr       Date:  1996       Impact factor: 1.807

7.  Quantification of free circulating DNA as a diagnostic marker in lung cancer.

Authors:  Gabriella Sozzi; Davide Conte; MariaElena Leon; Rosalia Ciricione; Luca Roz; Cathy Ratcliffe; Elena Roz; Nicola Cirenei; Massimo Bellomi; Giuseppe Pelosi; Marco A Pierotti; Ugo Pastorino
Journal:  J Clin Oncol       Date:  2003-09-24       Impact factor: 44.544

8.  Increased plasma DNA integrity in cancer patients.

Authors:  Brant G Wang; Han-Yao Huang; Yu-Chi Chen; Robert E Bristow; Keyanunoosh Kassauei; Chih-Chien Cheng; Richard Roden; Lori J Sokoll; Daniel W Chan; Ie-Ming Shih
Journal:  Cancer Res       Date:  2003-07-15       Impact factor: 12.701

9.  Cell-free circulating DNA in Hodgkin's and non-Hodgkin's lymphomas.

Authors:  S Hohaus; M Giachelia; G Massini; G Mansueto; B Vannata; V Bozzoli; M Criscuolo; F D'Alò; M Martini; L M Larocca; M T Voso; G Leone
Journal:  Ann Oncol       Date:  2009-05-22       Impact factor: 32.976

10.  Cell-free DNA in human blood plasma: length measurements in patients with pancreatic cancer and healthy controls.

Authors:  M B Giacona; G C Ruben; K A Iczkowski; T B Roos; D M Porter; G D Sorenson
Journal:  Pancreas       Date:  1998-07       Impact factor: 3.327

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  67 in total

1.  Detection of PIK3CA Mutations in Plasma DNA of Colorectal Cancer Patients by an Ultra-Sensitive PNA-Mediated PCR.

Authors:  Qian Zeng; Li Xie; Na Zhou; Min Liu; Xianrang Song
Journal:  Mol Diagn Ther       Date:  2017-08       Impact factor: 4.074

Review 2.  Acoustic tweezers for the life sciences.

Authors:  Adem Ozcelik; Joseph Rufo; Feng Guo; Yuyang Gu; Peng Li; James Lata; Tony Jun Huang
Journal:  Nat Methods       Date:  2018-11-26       Impact factor: 28.547

Review 3.  Liquid Biopsy and its Potential for Management of Hepatocellular Carcinoma.

Authors:  Jian Zhou; Ao Huang; Xin-Rong Yang
Journal:  J Gastrointest Cancer       Date:  2016-06

Review 4.  Circulating tumor markers: harmonizing the yin and yang of CTCs and ctDNA for precision medicine.

Authors:  I S Batth; A Mitra; S Manier; I M Ghobrial; D Menter; S Kopetz; S Li
Journal:  Ann Oncol       Date:  2017-03-01       Impact factor: 32.976

5.  Cell-Free DNA Integrity Analysis in Urine Samples.

Authors:  Valentina Casadio; Samanta Salvi; Filippo Martignano; Roberta Gunelli; Sara Ravaioli; Daniele Calistri
Journal:  J Vis Exp       Date:  2017-01-05       Impact factor: 1.355

6.  Sensitive detection of DNA from Chlamydia trachomatis by using flap endonuclease-assisted amplification and graphene oxide-based fluorescence signaling.

Authors:  Chang Yeol Lee; Hyowon Jang; Hansol Kim; Yujin Jung; Ki Soo Park; Hyun Gyu Park
Journal:  Mikrochim Acta       Date:  2019-05-06       Impact factor: 5.833

Review 7.  Non-Invasive Colorectal Cancer Screening: An Overview.

Authors:  Melanie Tepus; Tung On Yau
Journal:  Gastrointest Tumors       Date:  2020-05-20

8.  Simultaneous isolation and preconcentration of exosomes by ion concentration polarization.

Authors:  Steven Marczak; Katherine Richards; Zeinab Ramshani; Elaine Smith; Satyajyoti Senapati; Reginald Hill; David B Go; Hsueh-Chia Chang
Journal:  Electrophoresis       Date:  2018-02-27       Impact factor: 3.535

9.  Quantification of plasma cell-free DNA levels in dogs with various tumors.

Authors:  Michihito Tagawa; Genya Shimbo; Hisashi Inokuma; Kazuro Miyahara
Journal:  J Vet Diagn Invest       Date:  2019-10-04       Impact factor: 1.279

10.  Selective gene amplification to detect the T790M mutation in plasma from patients with advanced non-small cell lung cancer (NSCLC) who have developed epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) resistance.

Authors:  Shingo Nishikawa; Hideharu Kimura; Hayato Koba; Taro Yoneda; Satoshi Watanabe; Tamami Sakai; Johsuke Hara; Takashi Sone; Kazuo Kasahara; Shinji Nakao
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

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