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World J Gastroenterol. Jul 14, 2014; 20(26): 8482-8490
Published online Jul 14, 2014. doi: 10.3748/wjg.v20.i26.8482
hENT1 expression is predictive of gemcitabine outcome in pancreatic cancer: A systematic review
Stina Nordh, Daniel Ansari, Roland Andersson, Department of Surgery, Clinical Sciences Lund, Lund University and Skåne University Hospital, SE-221 85 Lund, Sweden
Author contributions: Nordh S performed the literature search; Nordh S and Ansari D were involved in data analysis and manuscript writing; Andersson R designed the study and revised the manuscript; all authors read and approved the final manuscript.
Correspondence to: Roland Andersson, MD, PhD, Department of Surgery, Clinical Sciences Lund, Lund University and Skåne University Hospital, Paradisgatan 2, SE-221 85 Lund, Sweden. roland.andersson@med.lu.se
Telephone: +46-46-172359
Received: October 8, 2013
Revised: March 3, 2014
Accepted: March 12, 2014
Published online: July 14, 2014

Abstract

High human equilibrative nucleoside transporter 1 (hENT1)-expression has shown a survival benefit in pancreatic cancer patients treated with gemcitabine in several studies. The aim of this systematic review was to summarize the results and try to assess the predictive value of hENT1 for determining gemcitabine outcome in pancreatic cancer. Relevant articles were obtained from PubMed, Embase and Cochrane databases. Studies evaluating hENT1-expression in pancreatic tumor cells from patients treated with gemcitabine were selected. Outcome measures were overall survival, disease-free survival (DFS), toxicity and response rate. The database searches identified 10 studies that met the eligibility criteria, and a total of 855 patients were included. Nine of 10 studies showed a statistically significant longer overall survival in univariate analyses in patients with high hENT1-expression compared to those with low expression. In the 7 studies that reported DFS as an outcome measure, 6 had statistically longer DFS in the high hENT1 groups. Both toxicity and response rate were reported in only 2 articles and it was therefore hard to draw any major conclusions. This review provides evidence that hENT1 is a predictive marker for pancreatic cancer patients treated with gemcitabine. Some limitations of the review have to be taken into consideration, the majority of the included studies had a retrospective design, and there was no standardized scoring protocol for hENT1-expression.

Key Words: Pancreatic cancer, Gemcitabine, hENT1, Predictive, Survival

Core tip: Human equilibrative nucleoside transporter 1 is a predictive marker for pancreatic cancer patients treated with gemcitabine.



INTRODUCTION

Gemcitabine is the standard chemotherapy treatment for pancreatic cancer[1-3], but its efficacy is limited; only 15% of patients with advanced pancreatic cancer[4] and up to 30% in general[5] can be expected to respond to treatment. Gemcitabine is hydrophilic and therefore passive diffusion through hydrophobic cellular membranes is slow[1]. Permeation through the membranes requires specialized membrane transporters[1,3], and human equilibrative nucleoside transporter 1 (hENT1) is the most important for gemcitabine[6,7]. Because gemcitabine is a prodrug, it has to be phosphorylated after intracellular uptake[1] in order to have a cytotoxic effect[6]. This rate-limiting step is carried out by the enzyme deoxycytidine kinase (dCK)[8].

Recent research has revealed that differences in the expression of genes, including hENT1[9,10] and enzymes involved with gemcitabine metabolism, such as dCK, may be predictors of the efficacy of gemcitabine treatment for pancreatic cancer[11]. Several studies have indicated that high expression of hENT1 is associated with longer overall survival (OS) and longer disease-free survival (DFS)[9,10,12].

The aim of this review was to evaluate and summarize the potential predictive value of hENT1 expression in pancreatic tumor cells in patients treated with gemcitabine.

STUDY SELECTION

To identify all relevant English-language articles published from 1966 to March 2013, a computerized search of PubMed, Embase and Cochrane databases was performed. The following search terms were used: (hENT1 OR nucleoside transporter), (gemcitabine OR gemzar), (pancreatic OR pancreas), (cancer OR adenocarcinoma OR neoplasm). The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)[13] was used as a guideline for the processing and reporting of the results. The initial search yielded 230 publications (54 in PubMed, 1 in the Cochrane database, 175 in Embase). To find studies that might have been missing in the database search, a manual search was made by reading through reference lists of relevant articles and systematic reviews. The results of the search and the selection of studies are shown in Figure 1. The quality of the included articles was assessed using the Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)[14].

Figure 1
Figure 1 Flowchart showing article selection process.
ELIGIBILITY CRITERIA

For inclusion in this systematic review, the following criteria had to be met: retrospective or prospective studies of patients with pancreatic cancer, all stages, treated with gemcitabine with or without additional radiation; the expression of hENT1 had to be reported and related to patient outcome; and the articles had to be available in full text and published in English. Exclusion criteria were conference abstracts, overlapping patient cohorts and studies in which the relevant outcomes of interest were not addressed.

DATA EXTRACTION

A data extraction form was completed before the extraction process began. The form was reviewed by a second author (RA) to ensure that all relevant information was being extracted. The data extraction was done by a single reviewer (SN) and the following data were extracted from each study: publication details [author(s), date of publication, location, study center], study design, population details (age, sex, pT-stage, pN-stage), patient number, type of intervention (dose, schedule, duration), method to determine hENT1-expression, hENT1-scoring, primary and secondary outcome measurements, and results correlated with hENT1-expression.

OUTCOMES OF INTEREST AND DEFINITION

The primary outcome measures were OS and DFS correlated with hENT1 expression. Secondary outcome measures were toxicity according to the Common Toxicity Criteria (http://www.eortc.be/services/doc/ctc/), and response rate according to RECIST[15] criteria.

LITERATURE SEARCH

The search identified 230 references in the 3 databases. Of these, 120 were excluded after identification of duplicates and exclusion based on irrelevant titles. Abstracts from 110 articles were screened and 75 were excluded. The main reasons for exclusion were: nonclinical trials (such as review articles), hENT1-expression was not being assessed, and irrelevant outcome measurements. The remaining 35 studies were retrieved for further assessment. Of these, 25 references were excluded for the following reasons: they were conference abstracts and not full-text articles; hENT1-subgroups were measured[16,17]; hENT1 was evaluated as a prognostic factor rather than a predictive factor of gemcitabine treatment[18]; there were overlapping patient populations[19]; and too small sample size/case reports[20]. An additional 5 article abstracts were screened for eligibility after identification in a manual search of reference lists of relevant articles. All of these were excluded based on irrelevance. In total, 10 studies fulfilled our inclusion criteria and were included in this systemic review.

CHARACTERISTICS OF SELECTED STUDIES

The included articles were published between 2004 and 2012. They originated from Belgium (2 studies)[1,3], Canada (one study)[9], United States (one study)[12] and Japan (5 studies)[2,8,21-23]. The 5 studies from Japan originated from 5 different universities, Kyushu, Osaka, Yokohama, Mie and Hiroshima. One author had published 2 articles[1,3], for one of these the patient population was recruited from 2 centers, while for the other the patient population was recruited from 5 centers. The potential bias of overlapping patient populations was therefore small, but must nevertheless be taken into consideration in the analysis of the results.

Nine of 10 studies were retrospective[1-3,8-10,21-23] and one was a post hoc analysis of a randomized controlled study[12]. The 10 studies involved a total of 855 patients and the sample size varied from 21 to 234 (Tables 1 and 2).

Table 1 Characteristics of the identified studies.
Ref.Year of publicationCountryInclusion periodNo. of patientsStudy designFollow-up median (95%CI), mo
Spratlin et al[9]2004Canada1998–200221RSNR
Giovannetti et al[10]2006Italy2001–20041021RS11.2 (0.4–32.1)
Farrell et al[12]2009United States1998–200291Post hoc2NR
Maréchal et al[3]2009Belgium2000–200345RS21.9 (3.3–107.4)
Fujita et al[8]2010Japan1992–200770RS15.7 (0.5–114)
Maréchal et al[1]2012Belgium1996–2009234RS55.7 (46.4–61.2)
Kawada et al[2]2012Japan2002–200763RS31
Morinaga et al[21]2012Japan2006–200827RSNR
Murata et al[22]2012Japan2005–201093RS15 (3.5–57.2)
Nakagawa et al[23]2012Japan2002–2011109RS39.7 (2–122)
Total: 855
Table 2 Characteristics of the identified studies.
Ref.Age median, yr (range)Sex m/tot n (%)hENT1 methodChemotherapyRadiation dose Gy/(Gy/frac)Outcome measurementQuality REMARK
Spratlin et al[9]58 (51-64)111 (52)IHCPall GemNoOS10
Giovannetti et al[10]65 (22-83)53 (50)RT-PCRPall Gem Adj Gem45OS, DFS, TTP, RR12
Farrell et al[12]53/63/65245 (49)IHCAdj Gem50.4OS, DFS, Tox17
Maréchal et al[3]56 (34-83)23 (51)IHCAdj Gem40-50.4OS, DFS, Tox13
Fujita et al[8]65 (36-86)42 (60)RT-PCRAdj Gem or Resection onlyNoOS, DFS12
Maréchal et al[1]NR129 (53)IHCAdj Gem50.4OS15
Kawada et al[2]- (41-81)33 (52)IHCNeo Gem Adj 5-FU50/2DSS9
Morinaga et al[21]64 (45-74)17 (63)IHCAdj GemNoOS, DFS12
Murata et al[22]68 (44-87)38 (69)IHCNeo Gem Adj Gem45/2OS, DFS, RR13
Nakagawa et al[23]67 (41-83)52 (48)IHCAdj Gem + S1NoOS, DFS13

Four studies[1,8,10,12] used parallel groups, while the remainder were single-arm studies. The treatment protocols, which differed between the studies, included adjuvant gemcitabine monotherapy, palliative gemcitabine treatment, neoadjuvant gemcitabine chemotherapy, adjuvant gemcitabine chemotherapy + radiation, neoadjuvant gemcitabine + radiation (and adjuvant 5-fluorouracil), resection only and neoadjuvant gemcitabine-based chemoradiation + adjuvant gemcitabine (Table 2). All protocols were based on gemcitabine treatment and resection of the tumor.

hENT1 EXPRESSION

To quantify hENT1-expression, 8 studies used immunohistochemistry (IHC) and 2 used reverse transcription polymerase chain reaction. Grading of the expression differed between the studies, as is described in more detail in Table 3. The majority of the studies dichotomized the expression in high/positive vs low/negative hENT1 expression. There were no standardized scoring procedures available.

Table 3 hENT1 expression levels, cut-offs and grouping.
Ref.MethodGradingReference cellsGroups (n)
Spratlin et al[9]IHC0-2 based on relative intensities of staining.Langerhans cells, lymphocytes.Dichotomized:
0 = absence of stainingLow = 0 (12)
1 = intermediate stainingHigh = 1 and 2 (9)
2 = most intense staining
Giovannetti et al[10]RT-PCRGene-expression ratio with GAPDH, expressed as tertilesGene expression tertiles:
GAPDH/target gene ratioLow < 1.06 (27)
Intermediate 1.06-1.38 (28)
High ≥ 1.38 (26)
Dichotomized:
By medians
Low < 1.23 (44)
High ≥ 1.23 (37)
Farrell et al[12]IHCBased on relative intensities.LymphocytesDichotomized:
High = strong reactivity in > 50% of neoplastic cells.No (18)1
No = no staining in > 50%vs
Low = all cases between High and No.Low/high (73)1
Maréchal et al[3]IHC0-3 based on staining intensitiesLangerhans cellsDichotomized:
0 = no stainingLymphocytesLow < 80 (26)
1 = weakly positive(final score)
2 = moderately positive
3 = strongly positiveHigh = ≥ 80 (19)
Final score calculated: multiplying intensity score and the percentage of the specimen. Weighted score 0-300
Fujita et al[8]RT-PCRLevel of mRNA calculated from standard curve constructed with total RNA from Capan-1, a human pancreatic cancer cell linemRNA split into high/low groups using recursive descent partitioning. Cut-off 0.5
Low (26)1
High (14)
Maréchal et al[1]IHC0-2 based on staining intensitiesLymphocytesDichotomized:
Quantified as FarrellLow/moderate (136)1
High (86)1
Kawada et al[2]IHC0-2 based on staining intensities.Langerhans cellsNegative = 0-1 (41)
1 = same intensity as control.Positive = 2 (22)
Morinaga et al[21]IHCStaining intensity and percentage of positive tumor cells scored and given a hENT1-score by calculating the twoLow = hENT1 score 0-3 (11)
Staining 0-3 whereHigh = hENT1 score 4-6 (16)
0 = no
1= weakly pos
2 = moderately pos
3 = strongly pos
Percentage:
0 = no positive
1 ≤ 50% positive cells
2 = 50%-80% positive cells
3 = ≥ 80%
Murata et al[22]IHCStaining intensity + extent of positive stainingLangerhans cellsDichotomized:
Intensity:Negative = low and intermediate (16)
0 = no staining
1 = weakly positivePositive = high (39)
2 = moderately positive
3 = strongly positive
Extent staining:
High = score 3 > 50% cells
Low = score 0 or 1 > 50%
Intermediate = all others
Nakagawa et al[23]IHCStaining intensities:Langerhans cellsLow = grade 0 or 1 in > 50% (31)
0 = not stainedHigh = grade 2 or 3 in > 50% of cells (78)
1 = faintly stained
2 = weakly stained
3 = as strongly as islet cells
OVERALL SURVIVAL

Nine of the 10 included studies had OS as an outcome measurement of interest (Table 4). Kawada et al[2] was the sole study that only reported disease-specific survival (DSS) as the primary outcome. The definition of DSS is the length of time from either the date of diagnosis or start of treatment for a specific disease (e.g., pancreatic cancer), and that the patients with the disease still are alive. The difference from OS is that OS measures death from any cause, not just death from a particular disease. Survival times for the individual studies were calculated based on: diagnosis, in one study[10]; the start of gemcitabine treatment in 2 studies[9,22]; resection, in 5 studies[1,3,8,21,23]; and randomization in one study[12].

Table 4 Results.
Ref.Median survival all patients (95%CI)OS
DFS
Main conclusions
Univariate analysis median (95%CI) or HR (95%CI) P-valueMultivariate analysis HR (95%CI)Univariate analysis median (95%CI) or HR (95%CI) P-valueMultivariate analysis HR (95%CI)
Spratlin et al[9]11.01 (6.8-17.5)(mo):NRPat with detectable hENT1 had sig longer OS compared with pat with low hENT1
High = 13 (4.2-20.4)
5.01 (2.8-12.2)Low = 4 (1.5-6.9)
P = 0.01
Giovannetti et al[10]13.3 (10.9-15.7)(mo):Low = 5.34 (2.28-12.50)Palliative (mo):hENT1 expression was significantly correlated with outcome - pat with high hENT1 had longer OS
Low = 8.48 (7.01-9.95)Low = 5.85 (2.75-8.95)
Inter = 15.74 (13.84-17.63)Inter = 1.07 (0.46-2.49)Inter = 10.09 (9.63-10.54)
High = 25.69 (17.64-33.74)High = 1High = 12.68 (2.89-22.47)
P ≤ 0.001P < 0.0001P = 0.02
2 groups:
2 groups:HR = 4.21Adjuvant (mo):
Low = 12.42 (8.18-16.66)P ≤ 0.001Low = 9.26 (3.86-14.67)
High = 22.34 (16.34-28.34)Inter = 12.91 (9.31-16.51)
P ≤ 0.001High = 20.43 (13.27-27.60)
P ≤ 0.01
Farrell et al[12]NR(HR):Low/high = 0.40 (0.22-0.75)(HR):Low/high = 0.39 (0.21-0.73)hENT1 expression was ass with longer OS, DFS in pat receiving gem. hENT1 is a relevant predictive marker for gem outcome
Low/High = 0.51 (0.29-0.91)Low/High = 0.57 (0.32-1.001)
No = 1No = 1No = 1No = 1
P = 0.02P = 0.03P = 0.05P = 0.003
Maréchal et al[3]21.9 (3.3-107.4)(HR):High = 1(HR):High = 1Pat with high hENT1 had sig longer OS and DFS compared to low hENT1
High = 1Low = 3.42 (1.44-8.81)High = 1Low = 3.17 (1.43-6.73)
Low = 3.88 (1.78-8.92)P = 0.0005Low = 3.55 (1.65-7.63)P = 0.0004
P = 0.0007P = 0.02
Fujita et al[8]NR(mo):(RR):(mo):NRLow hENT1 ass with shorter OS in gem-group
High = 45Low = 2.980 (0.964-10.86)High = 25
Low = 16.5Low = 8
P = 0.011P = 0.2 (not sig)P = 0.11 (not sig)
Maréchal et al[1]32.0 (26.4-34.3)(HR):n = 2222NRNRHigh hENT1 predicts longer OS in pat treated with adj gem. Absence of gem - hENT1 lacks prognostic value
High = 0.43 (0.29-0.63)High = 0.34 (0.22-0.53)
(GEM-group)Low/Mod = 1Low/Mod = 1
P < 0.0001P < 0.0001
Kawada et al[2]NRPositive vs negativePositive/negativeNRNRDSS tended to be better in the hENT1-neg group but not statistically sig
P = 0.352P = 0.503
Morinaga et al[21]NR(mo):Low = 1(mo):Low = 1High hENT1 sig ass with longer OS in pat receiving adj gem after resection
Low = 11.8 (6.9-16.6)High = 0.327 (0.128-0.835)Low = 7.3 (3.6-11.1)High = 0.558 (0.214-1.452)
High = 22.2 (11.5-32.9)High = 9.3 (4.2-14.5)
P = 0.024P = 0.019P = 0.022P = 0.232
(HR):(HR):
Low = 1Low = 1
High = 0.366 (0.148-0.906)High = 0.362 (0.146-0.898)
P = 0.030P = 0.028
Murata et al[22]24.3(HR):Positive = 1(HR):Positive = 1Sig longer OS, RFS in pat with pos hENT1
Positive = 1Negative = 3.15 (1.35-7.37)Positive = 1Negative = 1.76 (0.85-3.66)
Negative = 3.04 (1.45-6.37)Negative = 2.34 (1.22-4-47)
P = 0.0037P = 0.008P = 0.011P = 0.129
Nakagawa et al[23]OS: 34.9(5y-SR %):High = 1(5y-SR %):High = 1hEN1 expression is predictive of the efficacy of adj gem-based chemotherapy after resection
DFS: 17.8High = 38Low = 3.16 (1.65-6.06)High = 30Low = 2.70 (1.52-4.83)
Low = 13Low = 17
P = 0.001P = 0.001P = 0.004P = 0.001

In univariate analyses, all 9 studies that had OS as an outcome measurement of interest showed a survival benefit with gemcitabine treatment and high/positive expression of hENT1 compared with patients with low/negative hENT1 expression. Multivariate analyses were conducted in 8 of the 9 studies. Seven of these identified high/positive hENT1 as an indicator of longer OS in patients with pancreatic cancer who received gemcitabine treatment. One study[8] indicated a trend towards better OS in the multivariate analysis, but this was not statistically significant (P = 0.2).

DISEASE-FREE SURVIVAL

In 7 studies, DFS was reported as an outcome measurement (Table 4). DFS was calculated from the same starting points as reported above for OS. Six of these studies showed a statistically significant longer DFS in univariate analyses. One study[8] was not statistically significant with regard to hENT1. Multivariate analyses were conducted in 5 studies but of these only 3[3,12,23] reported statistically significant results with longer DFS in regard to hENT1 in patients with pancreatic cancer treated with gemcitabine. Morinaga et al[21] and Murata et al[22] also performed multivariate analyses, but the results did not prove to be statistically significant with reported P-values ranging from 0.129 to 0.232.

TOXICITY

Only 2 studies addressed the issue of toxicity[3,12], but the numbers published were inadequate for further analysis. Farrell et al[12] tried to find a relationship between hENT1-levels and the incidence of grade III or higher toxicities; however no relationship was found using a logistic regression model. The analysis data were not shown in the article. Maréchal et al[3] reported that grade III/IV hematological toxicities were noted in 10/45 patients and grade III/IV nonhematological in 3/45 patients. They did not relate this finding to hENT1 expression and no further data or data analysis was shown in the article with regard to toxicity.

RESPONSE RATE

Of the 10 included studies only 2[10,22] reported the outcome measurement response rate (RR). Giovannetti et al[10] evaluated RR in 34/36 patients in a group of patients receiving palliative treatment with gemcitabine. Two of the patients were not evaluable because of early death and refusal. The results showed that 5 patients had a partial response, 13 had stable disease and 16 had progressive disease. No further evaluation or data analysis was made with respect to RR. Murata et al[22] evaluated RR in respect to hENT1 expression; radiographic RR was judged according to RECIST (Response Evaluation Criteria in Solid Tumors). Radiographic RR was not significantly correlated with hENT1 expression (P = 0.665).

DISCUSSION

Based on the data collected from the selected studies, there is evidence that hENT1 expression is a predictive marker for pancreatic cancer patients treated with gemcitabine. Patients with high expression of hENT1 had significantly longer OS in all included studies that evaluated this outcome measurement. These results are in accordance with other studies of gemcitabine outcome correlated with hENT1 expression in other types of tumors, including biliary tract cancer[24], cholangiocarcinoma[25], bladder cancer[26] and non-small cell lung cancer[27].

Since there is no standardized protocol for the grading of hENT1 expression, the methods used differed between the included studies (Table 3). The majority used immunohistochemistry to evaluate hENT1 expression in the tumor cells. This is the main method for assessing biomarkers in histopathology. Most studies in this review using this method of evaluation had 2 independent assessors (blinded to each other and to patient outcomes) to make the grading for higher quality and better precision. The different ways of grading protein expression is an issue that needs to be considered when assessing the results of independent studies as well as the results of this review. There is a need for standardized protocols to achieve better homogeneity across studies when it comes to grading the protein expression of hENT1 in pancreatic tumor cells.

Gemcitabine is the standard treatment for patients with pancreatic cancer. This is based on several studies where gemcitabine has shown a survival benefit compared with other treatment regimes[1,28-30]. In this review, the treatment differed amongst the included studies, but they all used gemcitabine as the basis for chemotherapy. Most studies were performed in resectable patients, but the predictive value of hENT1 was also confirmed in unresectable patients[9,10]. Kawada et al[2] used neoadjuvant chemoradiation and their results showed, in contrast with all the others, a trend towards better DSS in patients with low expression of hENT1, although the results were not statistically significant. They did use a slightly different outcome measurement that may have influenced the results. Even though the result was not statistically significant it raises some questions that are important in the discussion about the different treatment regimens across the studies. In the case of neoadjuvant treatment or neoadjuvant chemoradiation, tumor cells with high expression of hENT1 may be destroyed before the tumor samples are collected and will therefore give misleading information. This creates interesting issues as to when and how the tumor cells should be analyzed. Fine needle aspiration is discussed as an option for retrieving tumor cells for evaluation of hENT1. This method can be used before resection and may therefore be an effective tool to identify which patients may benefit from neoadjuvant treatment with gemcitabine. Future studies are needed in this area.

One study[12] was a post hoc analysis of a randomized controlled trial, which is of course rated higher methodologically than are retrospective cohort studies. The common opinion is that a systematic review exhibits the greatest strength if the majority of the included studies are randomized controlled trials or at least prospective trials. However, no such trials have been made within this area, but the need for a review was still considered to be necessary. The retrospective design of the included studies implies that we need to consider reporting and selection bias when analyzing the results.

REMARK[14], which is a relatively new assessment tool, was used for quality evaluation in this review. The maximum score in REMARK is 20, and the average score in the included articles was 12.6 within the range of 9-17. Since this is a relatively new tool, there is not much information as to what quality is considered high, and what is low. In this review, the included articles were of relatively similar quality (Table 2) according to REMARK.

The results of this review are important to the consideration of future treatment options for patients with pancreatic cancer. According to this review, hENT1 has been proven to be a predictive marker for gemcitabine outcome, thus there are a few considerations to be made. First, if we can alter the expression of hENT1 in the tumor cells to create a higher expression, more patients would benefit from gemcitabine treatment and survive longer. Pretreatment with thymidylate synthase inhibitors has proven to increase the expression of hENT1 in tumor cells in vitro[6]. This might be a way to alter the expression in vivo as well, but further studies are needed. The second option is to find another way for gemcitabine to enter the tumor cells and exert its toxic effect. Research in this area is currently under way, and progress should enable more personalized treatment options for pancreatic cancer patients.

Another aspect for the future is the cost of overtreatment with gemcitabine in patients who do not benefit from it. According to one study conducted on a Swedish pancreatic cancer cohort, EUR 8.6 million would be saved each year in Sweden if hENT1 testing were used to select patients for gemcitabine therapy[31].

CONCLUSION

This review provides evidence that hENT1 is a predictive marker for pancreatic cancer patients treated with gemcitabine. However, standardized procedures for evaluating and grading hENT1 expression need to be established. Additionally, more research and preferably prospective trials or randomized controlled trials in this area are needed to confirm the results of this review.

Footnotes

P- Reviewers: Macedo FI, Rossi RE, Yun S, Zhang Q S- Editor: Wen LL L- Editor: Cant MR E- Editor: Zhang DN

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