Literature DB >> 30271504

The Significance of Liquid Biopsy in Pancreatic Cancer.

Zi-Hao Qi1,2,3,4, Hua-Xiang Xu1,2,3,4, Shi-Rong Zhang1,2,3,4, Jin-Zhi Xu1,2,3,4, Shuo Li1,2,3,4, He-Li Gao1,2,3,4, Wei Jin1,2,3,4, Wen-Quan Wang1,2,3,4, Chun-Tao Wu1,2,3,4, Quan-Xing Ni1,2,3,4, Xian-Jun Yu1,2,3,4, Liang Liu1,2,3,4.   

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal types of cancer. The 5-year survival rate for PDAC remains low because it is always diagnosed at an advanced stage and it is resistant to therapy. A biomarker, which could detect asymptomatic premalignant or early malignant tumors and predict the response to treatment, will benefit patients with PDAC. However, traditional biopsy has its limitations. There is an urgent need for a tumor biomarker that could easily and repeatedly sample and monitor, in real time, the progress of tumor development. Liquid biopsy could be a tool to assess potential biomarkers. In this review, we focused on the latest discoveries and advancements of liquid biopsy technology in pancreatic cancer research and demonstrated how this technology is being used in clinical applications.

Entities:  

Keywords:  Cell-free nucleic acid; Circulating tumor cells; Exosomes; Liquid biopsy; Pancreatic cancer

Year:  2018        PMID: 30271504      PMCID: PMC6160675          DOI: 10.7150/jca.24591

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


1. Introduction

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal types of cancer. Over the past 30 years, although improvements have been developed in the detection and treatment of this disease, the 5-year survival rate remains 8%. This low survival rate is mainly because PDAC is usually diagnosed at an advanced stage and is resistant to therapy.1-4 Most of the patients die from extensive metastatic disease.5 A biomarker that could detect asymptomatic premalignant or early malignant tumors and predict the response to treatment will greatly benefit these patients. However, the widely used carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) in clinical practice have limited sensitivities and specificities.6-8 Because of tumor heterogeneity, a single biopsy sample is very limited, and only provides spatially and temporally limited information of a tumor.9-15 S There is an urgent need for a better tumor biomarker that could be correlated with the tumor burden, correlated with changes in response to treatment or surgery, could reflect tumor progression and metastasis, and could indicate the response to treatment and tumor resistance or recurrence.16-19 In addition, easy and repeated sampling should be an important characteristic of this biomarker.17,19-23 Liquid biopsy is a method to diagnose cancer by detecting the circulating tumor cells (CTCs), cell-free circulating nucleic acids (cfNAs), and microvesicles such as exosomes containing nucleic acids and proteins, which are released into the body fluid, usually into the blood, from the primary or metastatic tumor. Unlike open surgical biopsy and needle biopsy, liquid biopsy is a noninvasive method for tumor diagnosis. It results in real time detection, which provides an effective prognosis (Figure 1).20, 22-26
Figure 1

The difference between liquid biopsy and traditional biopsy.

This review focused on the latest discoveries and advancements of liquid biopsy technology in pancreatic cancer research, and demonstrated the potential applications of this technology in clinical applications, including the early detection of pancreatic cancer, the assessment of prognosis, predicting response to treatments, the development of acquired resistance, and the early detection of disease recurrence.

2. Current types of liquid biopsy in pancreatic cancer

2.1. Circulating tumor cells

CTCs are cells that are released into peripheral blood from tumors of patients with all major solid carcinomas before metastasis. CTCs can be shed from the tumor in the early stages during tumor formation and development.27 CTCs are rare, comprising as few as one cell per 109 hemocytes in the blood of cancer patients. But the number of CTCs in the blood of cancer patients is thought to be correlated with tumor development, treatment response, tumor recurrence, and long-term prognosis for many cancers.27, 28 However, its role in pancreatic cancer has not yet been clearly determined, so it is an extensive field of research in pancreatic cancer.

2.2. Cell-free nucleic acid

Cell-free nucleic acid (cfNA) includes cell-free DNA (cfDNA) and cell-free RNA (cfRNA). It contains information that can be used to examine total cfDNA levels, microsatellite instability, cancer-associated DNA methylation and integrity, loss of heterozygosity, somatic mutations, and expression levels of mRNAs, miRNAs, and other non-coding RNAs in the blood of cancer patients. The cfNAs can be released into the circulation by apoptosis, necrosis, and autophagy of the cells, or secreted by packaging into extracellular vesicles.29-34 Circulating tumor DNA (ctDNA) is a special kind of DNA fragment released into the blood by apoptosis and necrosis of tumor cells. Unlike CTCs, ctDNAs are present at high concentrations in the blood of cancer patients. They are comprised of genomic DNA, mitochondrial DNA, and non-coding gDNA. The ctDNAs that originate from tumor cells can detect tumors, reflect tumor burden, and monitor response to therapies.33, 35 It was found that a significant amount of cfNA in the plasma of pancreatic cancer patients is probably derived from apoptotic or necrotic tumor cells, and the cfNA differed between pancreatic cancer patients and healthy controls.36-39

2.3. Exosomes

Exosomes are membrane vesicles of endocytic origin ranging in size from 30-150 nm. They are secreted by both normal and cancerous cells into the extracellular space and into the blood circulation. These circulating extracellular vesicles are emerging as key players in intercellular communication between cancer cells and their microenvironment via horizontal transfer of information of their cargos, which include protein, DNA, mRNA, and miRNA. 40, 41 Compared with ctDNA, exosomes can be secreted by living cells. As a result, exosomes are present in the blood earlier than necrosis-caused release of cfNAs, and can be found in the early stages of tumors.42

3. Clinical application of liquid biopsy in pancreatic cancer

3.1. Early diagnoses and differential diagnoses

Pancreatic cancer cells were found be present in the circulation of patients before tumors could be detected. Circulating pancreas epithelial cells (CECs) were found only in patients with cystic lesions and pancreatic ductal adenocarcinoma. Moreover, the CEC count was significantly different across healthy donors, patients with PDAC, and patients with cystic lesions.43 CTCs could be found in most patients with PDAC of any stage, whether localized, locally advanced, or metastatic; but no CTCs were detected in blood from healthy donors.44 With different isolation and detection methods, the detection rates of CTCs in PDAC patients were in the range of 21%-100%, while it was nearly 0% in benign patients or healthy controls (Table 1).43, 45-50 All of these studies suggested that CTCs could be used as markers in the early diagnosis and differential diagnosis of pancreatic cancer. Moreover, a combination of CA19-9 and CTC detection increased the detection pancreatic cancers.49
Table 1

Circulating tumor cells in the diagnosis of pancreatic cancer.

Isolation methodDetection methodpositive criteriaPatient/controlDetection rateRef.
GEDI:Anti-EpCAMDAPI+/ CD45-/CK+≥3 cells/ml11 patients with PDAC of all stages8/11(73%)43
21 patients with cystic lesions of the pancreas7/21(33%)
19 patients without cysts or cancer0/19(0%)
ScreenCell: size-based filtrationCytological detection and detection of KRAS mutations≥2 cells/mL or KRAS mutations positive11 patients with pancreatic cancer8/11(73%)44
9 healthy controls0/9(0%)
MACS:Anti-EpCAMRT-PCR: h-TERT, CK20, CEA, C-MET.Amplification of at least one tumor-associated marker mRNA25 pancreatic cancer patients20-25/25(80-100%)47
15 benign patients0-1/15(0-6.8%)
Immunomagnetic enrichment: Anti-EpCAM/mucin1RT-PCR: KRT19, MUC1, EPCAM, CEACAM5, BIRC5.Amplification of at least one tumor-associated marker mRNA34 pancreatic cancer patients before systemic therapy7/34(21%)48
40 healthy controls0/40(0%)
CellSearch/Anti-EpCAMDAPI+/ CD45-/CK+ /EpCAM+≥1 cells/ml35 patients with PDAC of all stages7/35 (20%)45
Immunol staining and FISHDAPI+/ CD45-/CK+ /CEP8+≥2 cells/ml33 patients with PDAC of all stages26/33(79%)49
3 solid pseudopapillary pancreatic tumor2/3(66%)
14 benign pancreatic tumor1/14(7%)
40 healthy individuals0/40(0%)
Immunol staining and FISHCD45-/DAPI+/CEP8>2≥2 cells/3.2 mL95 patients with pancreatic cancer83/95(87%)50
45 healthy controls29/48(60%)

GEDI: geometrically enhanced differential immunocapture; EpCAM: epithelial cell adhesion molecule;

MACS: Magnetic-activated cell separation

Early in 1998, it was found that cfDNAs in human blood plasma were different in patients with pancreatic cancer versus healthy controls. The cfDNAs had diagnostic values in PDAC patients, and could be useful in patients without detectable CTCs.38 The total load of cfDNAs was higher in PDAC patients than that in patients with pancreatic neuroendocrine tumors or chronic pancreatitis 51, and different in patients with different stage tumors.36 Previous studies also found mutated gene fragments present in the blood of cancer patients.34 Zill et al. analyzed 54 genes in PDAC patients, and found that nearly 90% mutations of these genes in tumor biopsies were also detectable in the cfDNAs. They suggested that cfDNAs could be diagnostic markers with high sensitivity and specificity.52 As one of the most important driven gene, K-RAS mutations have also been found frequently in pancreatic cancer patients, and were detected in nearly half of the PDAC patients in their plasma DNA.53 Nearly no K-RAS mutations were detected in healthy control plasma. K-RAS Mutations in ctDNA can be an early diagnostic biomarkers.54-56 In a study by Finkelstein analyzing biliary specimens, it was found that biliary specimens were enriched with DNA. Mutation analyses using these cfDNAs targeted 17 genomic sites (including K-RAS) associated with pancreaticobiliary cancer, showing mutations existed in most patients with malignancy, with no mutations found in benign control patients. In these 17 genomic sites, K-RAS mutations only occurred in patients with pancreatic cancer. Mutational profiling of cfDNA in biliary specimens could be also used as a biomarker with high sensitivity and specificity for PDAC patients.55 As a kind of important part of cfNAs, miRNA was proved to be as a sensitive and specific body fluid based biomarker for pancreatic cancer. (Table 2) Serum miRNAs were differentially found in pancreatic cancer patients compared with controls.57 On the one hand, circulating miRNAs could therefore be used in the early diagnosis of pancreatic cancer, and the miR-155, miR-486-5p, miR-938, miR-744 and miR-223 levels were significantly higher in pancreatic cancer patients than healthy controls.39, 58-60 On the other hand, circulating miRNAs could be used in differential diagnosis. Plasma miR-223 tended to discriminate the malignant potential between benign intraductal papillary mucinous neoplasm (IPMN) and malignant IPMN, and the progressive extent of invasiveness between malignant IPMN and PDAC.60 miR-486-5p and miR-938 were able to discriminate PDAC patients from healthy controls and those with chronic pancreatitis.58 Patients with pancreatic cancer and multifocal PanIN2/3 lesions had significantly higher serum levels of miR-196a and miR-196b than patients with PanIN1, pancreatic neuroendocrine tumors, chronic pancreatitis, or healthy controls.61 In contrast to single miRNAs, a combined panel of single miRNAs may have more potential value.62 In the study by Lee et al., they found that a combination of both miR-196a and miR-196b reached a sensitivity of 100% and specificity of 90% in diagnosing PC or high grade PanIN lesions.61 And, a combination of four miRNAs (miR-21, miR-210, miR-155, and miR-196a) reached a sensitivity of 64% and a specificity of 89% to diagnose pancreatic cancer.59 Not only in serum or plasma, but also in other body fluids, miRNAs have revealed their potential value. Elevated levels of the four miRNAs (miR-205, miR-210, miR-492, and miR-1247), together in pancreatic juice, predicted PDAC with a specificity of 88% and sensitivity of 87%.63 In saliva samples, hsa-miR-21, hsa-miR-23a, hsa-miR-23b, and miR-29c were significantly up-regulated in the saliva of pancreatic cancer patients compared with control patients. 64 Even in stool samples, it was found that PDAC patients had significantly higher miR-21 and miR-155, and lower miR-216 levels compared to normal controls or chronic pancreatitis patients. A combination of miR-21 and miR-155 had a sensitivity of 93.33%, while a combination of miR-21, miR-155, and miR-216 would be best for detecting PDAC with a better balance of sensitivity and specificity.65
Table 2

The candidate miRNA from body fluid in the diagnose of pancreatic cancer.

Sample sourcePatient/control characteristics and size miRNARef.
Peripheral blood94 PDAC patients68 healthy controlsmiR-74439
Peripheral blood197 PDAC patients158 cancer-free controlsmiR-20a, miR-21, miR-24, miR-25, miR-99a, miR-185, miR-191.57
Peripheral blood192 PDAC patients267 cancer-free controlsmiR-486-5p, miR-93858
Peripheral blood39 PDAC patients29 healthy controlsmiR-15559
Peripheral blood71 PDAC patients67 healthy controlsmiR-22360
Peripheral blood19 PDAC patients25 cancer-free controlsmiR-196a, miR-196b61
Pancreatic juice50 PDAC patients38 cancer-free controlsmiR-205, miR-210, miR-492, miR-124763
Saliva7 PDAC patients10 cancer-free controlsmiR-21, miR-23a, miR-23b, miR-29c64
Stool30 PDAC patients25 cancer-free controlsmiR-21, miR-155, miR-21665
Cancer patients exhibit a significantly higher quantity of total exosomes than healthy individuals, because exosomes are secreted in large amounts during carcinogenesis. Compared with ctDNAs, exosomes can be secreted by living cells. This results in exosomes being present in blood earlier than necrosis-caused release of cell-free miRNAs, so they can be found in the early stages of tumors.42 Serum-exosome protein or miRNA markers might be suitable candidates for the diagnosis of PDAC.66, 67 A panel of pancreatic cancer-initiating cell protein markers (CD44v6, Tspan8, EPCAM, and CD104) were selected according to expression in pancreatic cancer-derived exosomes. The miR-1246, miR-4644, miR-3976, and miR-4306 were selected according to abundant recovery in microarrays of patients with pancreatic cancer. The selected panel of protein markers and miRNAs were significantly upregulated in most of pancreatic cancer serum-exosomes, but rarely found in healthy donors and patients with nonmalignant diseases. Thus, combined evaluation with a panel of protein and miRNA serum-exosome biomarkers could serve as a highly sensitive, minimally invasive pancreatic cancer diagnostic tool.68 Exosomes contain RNA and protein, and a previous study investigated whether exosomes from pancreatic cancer cells and serum from patients with pancreatic ductal adenocarcinoma contained genomic DNA. Their results showed that exosomes contained >10 kb fragments of double-stranded genomic DNA. Mutations in K-RAS and p53 have been detected using genomic DNA from exosomes derived from pancreatic cancer cell lines and serum from patients with pancreatic cancer. These results indicated that serum-derived exosomes can be used to determine genomic DNA mutations for cancer diagnoses. It is a distinct source of tumor DNA that may be complementary to other liquid biopsy DNA sources.69, 70 A recent study reported that a kind of protein named GPC1, located in the membranes of exosomes, could be used as a specific marker of cancer exosomes. Exosomes from 190 patients with PDAC exhibited higher levels of GPC1 than that in healthy donors. GPC1 positive exosomes were found before magnetic resonance imaging of detectable masses. The levels of GPC1 positive exosomes can distinguish patients with stage I-IV pancreatic cancer as compared with healthy donors, patients with pancreatic cancer precursor lesions, and patients with benign pancreatic disease. The receiver operating curves showed that GPC1 positive exosomes were nearly perfect markers with a sensitivity and specificity of 100%.71 All these studies suggested that exosomes could be a biomarker in the early diagnosis and differential diagnosis of pancreatic cancer.

3.2. Predicting response to treatments and assessment of prognosis

Because CTCs counts may be a surrogate of cancer metastatic, prognostic values of CTC were studied by many studies. These studies found the presence or absence of CTCs can be an independent prognostic factor. CTC positivity either before treatment or after treatment was associated with poor overall survival (OS).72-74 CTCs can also be used as a biomarker of response to treatment. In patients with fluorouracil chemotherapy, the detection rate of CTCs dramatic declined after the first cycle of therapy. And, apoptotic CTCs could be detected in these patients. These apoptotic CTCs could be used to monitor the efficacy of chemotherapy in pancreatic cancer patients.75, 76 Serial monitoring of the CTC burden may therefore be used as a minimally invasive approach to predict and monitor treatment response for guided therapeutic regimens. Recently study found that, not only CTC numbers but also the CTCs phenotype represents a useful tool for predicting prognoses and therapeutic responses to therapy among patients with pancreatic cancer. CTCs expressing markers of tumor-initiating cells, such as CD133 and CD44, were significantly associated with worse survival.77 Numerous studies have investigated the prognostic potential of cfNAs. In recent studies about ctDNA, it was found that ctDNA could be used as an independent prognostic marker for monitoring treatment efficacy and disease progression in pancreatic cancer patients. Furthermore, it arises as an indicator of shorter survival in resected or metastatic patients when detected after surgery or chemotherapy.[78-80]Among the patients who were ctDNA positive before chemotherapy, 90% experienced disease progression during follow-up, compared to 25% ctDNA negative patients.81 Higher levels of plasma ctDNA were significantly associated with lower overall survival times.82 The survival of patients with K-RAS mutations in ctDNAs was significantly shorter than that of patients without mutations.45, 79 The difference was especially evident in patients with a G12V mutation.83 Some plasma miRNAs have recently been used to predict response to treatments and assess the prognosis for pancreatic cancer (Table 3).84,85 The miR-21 levels in serum were significantly associated with overall survival of pancreatic cancer patients.57 Elevated levels of circulating miR-205, miR-210, miR-492, and miR-1247 in pancreatic fluids were associated with decreased overall survival.63 The presence of miR-196a and miR-196b in patients with pancreatic cancer predicted a curative resection if their levels dropped to normal levels after surgery61, and the levels of miR-744 were significantly reduced in postoperative samples. A high level of plasma miR-744 in postoperative pancreatic cancer patients indicated a poor prognosis, which was correlated with lymph node metastasis, recurrences, and chemotherapy-resistance.39
Table 3

The candidate miRNA from body fluid as prognostic and predictive markers for pancreatic cancer.

Sample sourcemiRNAPrognosticPredictive of treatment efficacyRef.
Peripheral bloodmiR-21 (↑)(-)(-)57
Pancreatic juicemiR-205 (↑), miR-210 (↑),miR-492 (↑), miR-1247 (↑)(-)N.A63
Peripheral bloodmiR-196a (↑), miR-196b (↑)(-)(-)61
Peripheral bloodmiR-744(-)(-)39
Peripheral bloodmiR-21 (↑), miR-210 (↑),miR-221 (↑), miR-7 (↑)(-)(-)84
Plasma exosomemiR-451a (↑)(-)N.A85

(↑): Upregulated; (-): Bad prognosis/response to treatment; N.A: Not available.

Tumor exosomes have a supportive role in the survival and growth of tumor cells and are involved in promoting host tissue invasion and subsequent metastasis and evasion from the immune response. Zech et al. reported that exosomes from the rat pancreatic adenocarcinoma lines BSp73ASML (ASML) bind to and are taken up by all leukocyte subpopulations in vivo and in vitro. ASML exosomes can affect leukocyte proliferation via reduced CD44v6, ZAP70, and ERK1/2 phosphorylation. 86 The role of exosomes in the immune system has been the objective of additional studies. Another study reported that pancreatic cancer-derived exosomes downregulated TLR4 and downstream cytokines in dendritic cells via miR-203.87 However, some studies have reported a possible apoptotic function of tumor-derived nanoparticles on tumor cells. Human pancreatic tumor nanoparticles counteracted the constitutively activated PI3K/AKT survival pathway to induce apoptosis of tumor cells.88 However, in pancreatic cancer, there has been no definitive clinical study about the role of exosomes in the prognosis of pancreatic cancer. Another study of pancreatic cancer suggested that the protein and mRNA of four inhibitors of apoptosis (IAPs)—survivin, XIAP, cIAP1, and cIAP2—were found in exosomes, and that both cellular and exosomal IAPs should be investigated for their possible roles in drug resistance in pancreatic cancer. In contrast, other studies have suggested that exosomes play an antitumor role through immune cells. They suggested that human pancreatic tumor exosomes counteracted the constitutively activated PI3K/AKT survival pathway to induce apoptosis of tumor cells. Their study provided evidence of an apoptotic function of tumor-derived nanoparticles on tumor cells 88, although there has been no clinical study to support this possibility, so additional studies are necessary.

3.3. Monitoring metastasis and tumor recurrence

The detection and increase in the number of CTCs have been shown be predictors of forthcoming metastasis in many cancers. Although the role of CTCs in pancreatic cancer patients has been extensively studied, there is still no definitive evidence of their role. Some studies correlated PDAC metastases with CTCs. They found that, the presence of CTCs in portal vein of the patients undergoing pancreatic resection was associated with a higher rate of liver metastases 89, 90. In consideration of that CTCs disseminate from the primary tumor and travel through the bloodstream. They may mediate the hematogenous spread of cancer to distant organs. It seems to that reduced dissemination of circulating tumor cells will benefit the patients with pancreatic cancer. However, study showed that reducing dissemination of circulating tumor cells with no-touch isolation surgical technique (approaches permit tumor resection without any grasping or squeezing) 91 has no benefits on the patients with pancreatic cancer compared with standard pancreaticoduodenectomy.92 This may be caused by the early releasing of CTCs into peripheral blood from primary tumors.27 It was found that patients with occult metastatic disease had significantly more CTCs than patients with local disease only93. And, dynamically monitoring revealed that CTCs count decreased in 3 days after surgery, but increased in 10 days after surgery in most patients. CTCs count increased patients after surgery showed high metastasis rate.49 So, high CTCs count in peripheral blood before surgery or CTCs count increased after surgery may represent undetectable metastatic disease has been present before surgery. CTCs demonstrate potential as a preoperative biomarker for identifying patients at high risk of occult metastatic disease. The potential mechanism may be that CTCs exhibit a very high expression of stromal-derived extracellular matrix proteins, whose knockdown in cancer cells suppresses cell migration and invasiveness. The aberrant expression by CTCs of stromal extracellular matrix genes points to their contribution of micro-environmental signals for the spread of cancer to distant organs.94 And, some CTCs with the specific phenotype could predictive recurrence, CTCs are an exciting potential strategy for understanding the biology of metastases.74 A promising clinical application for cfNAs is the early detection of relapse after potentially curative treatments. In recent studies, higher levels of plasma cfNAs in pancreatic patients were found to significantly correlate with metastasis and recurrences. 82 Sausen et al. reported that detection of ctDNA after resection predicted clinical relapse and poor outcomes. Recurrences were detected approximately 6.5 months earlier by ctDNA than with computed tomography imaging.95 Higher levels of miR-205, miR-210, and miR-744 were also correlated with lymph node metastasis and recurrence.39, 63 Exosomes could function as a language that mediates neighboring or long-distance cell-cell communication. The potential role of exosomes in cancer metastasis was studied by many investigators. Gesierich el al. reported an abundance of tetraspanin D6.1A in exosomes derived from pancreatic tumor cells that initiated an angiogenic loop in the organs distant from the tumor.96 Marhaba et al. studied rat pancreatic adenocarcinoma, and found that cancer cells could abundantly deliver exosomes, which functioned as long-distance intercellular communicators. These exosomes were the main components in forming the pre-metastatic niche.97 This result was consistent with another study, which also suggested that exosomes played an important role in mutant CD44-mediated pre-metastatic niche formation.98 A recent study also showed that PDAC-derived exosomes induced liver pre-metastatic niche formation in naive mice and increased liver metastatic burden.99 It also reported that macrophage migration inhibitory factor (MIF) was highly expressed in PDAC-derived exosomes. Compared with patients whose pancreatic tumors did not progress, there were significantly higher exosome levels from stage I PDAC patients who later developed liver metastasis. These findings suggested that exosomal MIF levels could serve as an early biomarker for liver pre-metastatic niche formation and a prognostic factor for metastatic risk in patients with pre-tumoral lesions, such as pancreatitis, PanINs, IPMNs, and pre-metastatic PDACs.99 Together, these studies showed that tumor derived exosomes may participate in primary tumor cells organ-specific metastasis. Further studies are required to determine the effects of approaches that inhibit exosomes' function on pre-metastatic niche formation and its therapeutic potential in pancreatic cancer.

4. Current limitations and future perspective

Liquid biopsy is a well-known method to monitor circulating subcellular structures, including CTCs, exosomes, and other biomolecules, such as cell-free nucleic acids. All these biomarkers are obtained from body fluids and are characteristic of the tissue from which they originate. Extensive basic and clinical research has shown that liquid biopsy can be used as a diagnostic, prognostic, and to measure treatment markers for pancreatic cancer because of its less invasive nature. Liquid biopsy research has experienced exponential development. Some platforms for liquid biopsy have already received government approval for clinical use. The Cell-Search System for CTC enumeration100 and liquid biopsy tests for determining patients suitable for EGFR-targeted therapy by analysis of their cfDNA101 have already been granted FDA approval. However, several problems remain to be solved before their applications to clinical practice can occur. One of the important limitations is the lower sensitivity and specificity when compared with traditional biopsies. This is because liquid biopsy detects alterations in body fluids rather than the tumor itself. Both CTCs and ctDNAs are rare in the blood of cancer patients. CTCs may be intermixed with billions of hemocytes. Although ctDNA and tumor-derived exosomes are present at high concentrations in the blood of cancer patients, abundant cfDNA and exosomes can be derived from cellular sources other than the tumor. Liquid biopsy depends on ctDNA that can detect physiologically occurring but clinically inconsequential mutational events. Another limitation is the lack of a consensus about the methodology for the detection and assessment of CTCs and circulating cfNAs. Different research groups have used different methods, making the widespread use of this technology challenging. In spite of these limitations, liquid biopsy still seems to be the ideal tool to identify biomarkers for pancreatic cancer. The repeatable and less invasive nature of liquid biopsies facilitate the evolutional analyses of cancers in real time, which may be difficult with tissue biopsies because of anatomical and clinical difficulties. The most urgent improvement in liquid biopsy involves the improvement of sensitivity and specificity. With technological development and analytical advances, a wide range of assays have been developed. Large prospective studies need to be carried out to assess the feasibility of these new methods. Another issue that needs to be solved is the establishment of standardized techniques and consensus among all processes for the detection, extraction, and assessment of liquid biopsies. This will facilitate a standardization to compare data obtained from different investigators, in order to translate the technology from research to clinical practice.102

5. Conclusion

PDAC is one of the most lethal types of cancer, with a low 5-year survival rate. This is mainly caused by a late diagnosis. Considering the limitations of traditional biopsies, there is an urgent need for new tumor biomarkers. As reviewed here, analyses of liquid biopsy samples provide noninvasive clinical tools for early detection, for prognosis, and for the monitoring of responses of primary tumor and metastatic diseases to treatments. By taking multiple or serial biopsies, it allows us to overcome the limitations of traditional biopsies. Real time monitoring of the tumor facilitates characterization of treatment effects and allows selection of the optimal therapy according to changes in the therapeutic responses. Many questions still remain, and liquid biopsy still needs additional studies to help develop the optimal clinical applications for the diagnosis and treatment of PDAC.
  101 in total

1.  Detection of apoptotic circulating tumor cells in advanced pancreatic cancer following 5-fluorouracil chemotherapy.

Authors:  Chuanli Ren; Chongxu Han; Jinqing Zhang; Ping He; Daxin Wang; Buhai Wang; Ping Zhao; Xiaohang Zhao
Journal:  Cancer Biol Ther       Date:  2011-10-15       Impact factor: 4.742

2.  Usefulness of exosome-encapsulated microRNA-451a as a minimally invasive biomarker for prediction of recurrence and prognosis in pancreatic ductal adenocarcinoma.

Authors:  Kunihiko Takahasi; Hisae Iinuma; Keita Wada; Shunryo Minezaki; Sachiyo Kawamura; Masahiko Kainuma; Yutaka Ikeda; Makoto Shibuya; Fumihiko Miura; Keiji Sano
Journal:  J Hepatobiliary Pancreat Sci       Date:  2018-01-16       Impact factor: 7.027

Review 3.  Cell-free nucleic acids as biomarkers in cancer patients.

Authors:  Heidi Schwarzenbach; Dave S B Hoon; Klaus Pantel
Journal:  Nat Rev Cancer       Date:  2011-05-12       Impact factor: 60.716

4.  High prevalence of mutant KRAS in circulating exosome-derived DNA from early-stage pancreatic cancer patients.

Authors:  K Allenson; J Castillo; F A San Lucas; G Scelo; D U Kim; V Bernard; G Davis; T Kumar; M Katz; M J Overman; L Foretova; E Fabianova; I Holcatova; V Janout; F Meric-Bernstam; P Gascoyne; I Wistuba; G Varadhachary; P Brennan; S Hanash; D Li; A Maitra; H Alvarez
Journal:  Ann Oncol       Date:  2017-04-01       Impact factor: 32.976

Review 5.  Systematic review of carbohydrate antigen (CA 19-9) as a biochemical marker in the diagnosis of pancreatic cancer.

Authors:  K S Goonetilleke; A K Siriwardena
Journal:  Eur J Surg Oncol       Date:  2006-11-09       Impact factor: 4.424

6.  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

7.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

8.  Minimally invasive genomic and transcriptomic profiling of visceral cancers by next-generation sequencing of circulating exosomes.

Authors:  F A San Lucas; K Allenson; V Bernard; J Castillo; D U Kim; K Ellis; E A Ehli; G E Davies; J L Petersen; D Li; R Wolff; M Katz; G Varadhachary; I Wistuba; A Maitra; H Alvarez
Journal:  Ann Oncol       Date:  2015-12-17       Impact factor: 32.976

9.  Detection of circulating tumour cells in peripheral blood with an automated scanning fluorescence microscope.

Authors:  T G Ntouroupi; S Q Ashraf; S B McGregor; B W Turney; A Seppo; Y Kim; X Wang; M W Kilpatrick; P Tsipouras; T Tafas; W F Bodmer
Journal:  Br J Cancer       Date:  2008-09-02       Impact factor: 7.640

10.  Acquisition of Portal Venous Circulating Tumor Cells From Patients With Pancreaticobiliary Cancers by Endoscopic Ultrasound.

Authors:  Daniel V T Catenacci; Christopher G Chapman; Peng Xu; Ann Koons; Vani J Konda; Uzma D Siddiqui; Irving Waxman
Journal:  Gastroenterology       Date:  2015-09-02       Impact factor: 22.682

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Review 1.  Potential role of microRNAs in pancreatic cancer manifestation: a review.

Authors:  Lisa Kabiraj; Atreyee Kundu
Journal:  J Egypt Natl Canc Inst       Date:  2022-06-20

2.  Pancreatic Tumor Microenvironment.

Authors:  Kai Wang; Hong He
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

Review 3.  Clinical Practice Guidelines for Diagnosis, Treatment and Follow-Up of Exocrine Pancreatic Ductal Adenocarcinoma: Evidence Evaluation and Recommendations by the Italian Association of Medical Oncology (AIOM).

Authors:  Nicola Silvestris; Oronzo Brunetti; Alessandro Bittoni; Ivana Cataldo; Domenico Corsi; Stefano Crippa; Mirko D'Onofrio; Michele Fiore; Elisa Giommoni; Michele Milella; Raffaele Pezzilli; Enrico Vasile; Michele Reni
Journal:  Cancers (Basel)       Date:  2020-06-24       Impact factor: 6.639

4.  The value of the plasma circulating cell-free DNA concentration and integrity index as a clinical tool for prostate cancer diagnosis: a prospective case-control cohort study in an Iranian population.

Authors:  Maryam Khani; Jalil Hosseini; Reza Mirfakhraie; Mohsen Habibi; Eznollah Azargashb; Farkhondeh Pouresmaeili
Journal:  Cancer Manag Res       Date:  2019-05-16       Impact factor: 3.989

Review 5.  Update on current pancreatic treatments: from molecular pathways to treatment.

Authors:  Konstantinos Sapalidis; Christoforos Kosmidis; Varvara Funtanidou; Athanasios Katsaounis; Amastasios Barmpas; Georgios Koimtzis; Stylianos Mantalobas; Vyron Alexandrou; Zoi Aidoni; Charilaos Koulouris; Efstathios Pavlidis; Dimitrios Giannakidis; Valeriu Surlin; Stelian Pantea; Victor Strambu; Rogoveanu Otilia Constantina; Aikaterini Amaniti; Paul Zarogoulidis; Stelian Mogoantă; Isaak Kesisoglou; Chrysanthi Sardeli
Journal:  J Cancer       Date:  2019-08-28       Impact factor: 4.207

6.  KRAS Mutant Allele Fraction in Circulating Cell-Free DNA Correlates With Clinical Stage in Pancreatic Cancer Patients.

Authors:  Zhe-Ying Wang; Xiao-Qing Ding; Hui Zhu; Rui-Xian Wang; Xiao-Rong Pan; Jian-Hua Tong
Journal:  Front Oncol       Date:  2019-11-29       Impact factor: 6.244

7.  miR-210 and miR-152 as Biomarkers by Liquid Biopsy in Invasive Ductal Carcinoma.

Authors:  Beatriz C Lopes; Cristine Z Braga; Fabrício V Ventura; Jéssica G de Oliveira; Edson M Kato-Junior; Newton A Bordin-Junior; Debora A P C Zuccari
Journal:  J Pers Med       Date:  2021-01-06

8.  Plasma Extracellular Vesicle Characteristics Correlate with Tumor Differentiation and Predict Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma Undergoing Surgery with Curative Intent.

Authors:  David Badovinac; Katja Goričar; Hana Zavrtanik; Miha Petrič; Teja Lavrin; Nina Mavec; Vita Dolžan; Aleš Tomažič; Metka Lenassi
Journal:  J Pers Med       Date:  2021-01-28

Review 9.  The Promise of Liquid Biopsy to Predict Response to Immunotherapy in Metastatic Melanoma.

Authors:  Luigi Fattore; Ciro Francesco Ruggiero; Domenico Liguoro; Vittorio Castaldo; Angiolina Catizone; Gennaro Ciliberto; Rita Mancini
Journal:  Front Oncol       Date:  2021-03-18       Impact factor: 6.244

10.  Somatic Mutation Profiling in the Liquid Biopsy and Clinical Analysis of Hereditary and Familial Pancreatic Cancer Cases Reveals KRAS Negativity and a Longer Overall Survival.

Authors:  Julie Earl; Emma Barreto; María E Castillo; Raquel Fuentes; Mercedes Rodríguez-Garrote; Reyes Ferreiro; Pablo Reguera; Gloria Muñoz; David Garcia-Seisdedos; Jorge Villalón López; Bruno Sainz; Nuria Malats; Alfredo Carrato
Journal:  Cancers (Basel)       Date:  2021-03-31       Impact factor: 6.639

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