Literature DB >> 34797780

The Impact of KRAS Mutation in Patients With Sporadic Nonampullary Duodenal Epithelial Tumors.

Hideaki Kinugasa1, Hiromitsu Kanzaki1, Takehiro Tanaka2, Shumpei Yamamoto1, Yasushi Yamasaki1, Kazuhiro Nouso1, Kouichi Ichimura3, Masahiro Nakagawa4, Toshiharu Mitsuhashi5, Hiroyuki Okada1.   

Abstract

INTRODUCTION: The genomic characterization of primary nonampullary duodenal adenocarcinoma indicates a genetic resemblance to gastric and colorectal cancers. However, a correlation between the clinical and molecular characteristics of these cancers has not been established. This study aimed to elucidate the clinicopathological features of sporadic nonampullary duodenal epithelial tumors, including their molecular characteristics and prognostic factors.
METHODS: One hundred forty-eight patients with sporadic nonampullary duodenal epithelial tumors were examined in this study. Patient sex, age, TNM stage, tumor location, treatment methods, histology, KRAS mutation, BRAF mutation, Fusobacterium nucleatum, mucin phenotype, and programmed death-ligand 1 (PD-L1) status were evaluated. KRAS and BRAF mutations, Fusobacterium nucleatum, mucin phenotype, and PD-L1 status were analyzed by direct sequencing, quantitative polymerase chain reaction, and immunochemical staining.
RESULTS: The median follow-up duration was 119.4 months. There were no deaths from duodenal adenoma (the primary disease). Kaplan-Meier analysis for duodenal adenocarcinoma showed a significant effect of TNM stage (P < 0.01). In univariate analysis of primary deaths from duodenal adenocarcinoma, TNM stage II or higher, undifferentiated, KRAS mutations, gastric phenotype, intestinal phenotype, and PD-L1 status were significant factors. In multivariate analysis, TNM stage II or higher (hazard ratio: 1.63 × 1010, 95% confidence interval: 18.66-6.69 × 1036) and KRAS mutation (hazard ratio: 3.49, confidence interval: 1.52-7.91) were significant factors. DISCUSSION: Only KRAS mutation was a significant prognostic factor in primary sporadic nonampullary duodenal adenocarcinoma in cases in which TNM stage was considered.
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology.

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Year:  2021        PMID: 34797780      PMCID: PMC8604005          DOI: 10.14309/ctg.0000000000000424

Source DB:  PubMed          Journal:  Clin Transl Gastroenterol        ISSN: 2155-384X            Impact factor:   4.488


INTRODUCTION

In recent years, the clarification of gastrointestinal tumor characteristics has been enabled by instrumentation and reagent developments in endoscopy and DNA sequencing (1). In particular, the molecular biological characteristics of colorectal cancer have been determined, and the choice of treatment such as EGFR inhibitors, BRAF inhibitors, angiogenesis inhibitors, and immune checkpoint inhibitors differs in clinical practice depending on the presence or absence of KRAS mutation, BRAF mutation, and microsatellite instability (2). Tumor characteristics also contribute to prognosis, with anatomical location, such as the right or left side of the colon, identified as an important factor in determining treatment selection (3). Sporadic nonampullary duodenal epithelial tumors (SNADETs) have been reported periodically. However, low detection rates compared with gastric and colorectal tumors have hampered efforts to analyze their clinicopathology. The prevalence of SNADETs is extremely low (0.02%–0.5%) (4–6), and primary sporadic nonampullary duodenal adenocarcinoma accounts for only 0.5% of all gastrointestinal malignancies (7). However, SNADET detection rates have improved with the development of endoscopic diagnosis techniques (8). Furthermore, SNADETs cases with a poor prognosis are on the rise (9). Consequently, the importance of research into SNADETs clinicopathology has been recognized, and their characteristics are becoming clearer as a result (10–12). Whole-genome sequencing has revealed new insights into the genes involved in primary sporadic nonampullary duodenal adenocarcinoma (13). The genomic characterization of primary sporadic nonampullary duodenal adenocarcinoma indicates a genetic resemblance to gastric and colorectal cancers (13). However, a correlation between the clinical and molecular characteristics of these cancers has not been elucidated. On the other hand, the anatomical location of the tumor on the oral side of the papilla of Vater (oral side of Vater) (14,15), gastric mucin phenotype, which is one of the mucin phenotypes of the tumor (15,16), and programmed death-ligand 1 (PD-L1) status (17) are currently being investigated as factors potentially contributing to the prognosis of SNADETs. However, because of its rarity, the role of these factors has not been revealed in specific types of SNADETs, including duodenal adenoma and early- to advanced-stage duodenal adenocarcinoma. In this study, prognostic factors were investigated in 148 patients with SNADETs. The analysis focused not only on tumor location, mucin phenotype, and PD-L1 status but also on factors such as KRAS and BRAF mutations, which are important in colorectal cancer. Furthermore, Fusobacterium nucleatum (Fn) (18), which has attracted research attention regarding its role in the progression of colorectal cancer, was also included in this investigation.

METHODS

Patients

One hundred forty-eight patients with SNADETs, treated at the Okayama University Hospital and Hiroshima City Hospital in Japan from 2006 to 2018, were enrolled in this study. Tissue samples were collected in all cases. Demographic, clinicopathological, and tumor characteristics were investigated and included patient sex, age, TNM stage, tumor location, treatment methods, histology, KRAS mutation, BRAF mutation, Fn, mucin phenotype, and PD-L1 status. The SNADETs were staged in accordance with the Union for International Cancer Control TNM staging system (19). In this study, stages 0 and Ⅰ were defined as early stage and stages II, III, and IV as advanced stage. The median follow-up duration was 47.7 months (range, 0.2–163 months). Somatic mutations of KRAS and BRAF, Fn, mucin phenotype, and PD-L1 status were examined by direct sequencing, real-time quantitative polymerase chain reaction (qPCR), and immunohistochemistry. Endoscopic treatment was used for adenomas and duodenal adenocarcinoma (stage 0), surgery for duodenal cancer without distant metastasis (stage II and stage III), and chemotherapy for duodenal adenocarcinoma with distant metastasis (stage IV). The Institutional Review Boards of Okayama University Hospital and Hiroshima City Hospital approved this study (2103-051/2021-8), which was conducted in accordance with the Declaration of Helsinki. Patients provided either written informed consent to participate or were required to opt out if their data were accessed retrospectively.

DNA extraction

Formalin-fixed, paraffin-embedded (FFPE) tissue blocks were obtained from patients who had been biopsied, or resected by endoscopy or surgery, for SNADETs. All tissue sections were reviewed by expert gastrointestinal pathologists (T.T. and K.I.). Histological examinations confirmed that the samples contained a minimum of 30% tumor cells. DNA was extracted from five 10-μm-thick sections of the FFPE samples using a QIAamp DNA FFPE Tissue Kit (Qiagen, Valencia, CA), according to the manufacturer's instructions. All DNAs were eluted in a final volume of 50 μL and stored at −30 C. DNAs extracted from FFPE were quantified using a Qubit fluorometer (Thermo Fisher Scientific, Waltham, MA).

Direct sequencing analysis

KRAS and BRAF were amplified using polymerase chain reaction (PCR) with forward and reverse primers (see Supplemental Table 1, Supplementary Digital Content 1, http://links.lww.com/CTG/A718). Each 50 μL PCR reaction contained 100 nM of each primer, 1 ng template DNA, and master mix reagent (AmpliTaq Gold 360 PCR Master Mix; Applied Biosystems, Foster City, CA). Amplification conditions consisted of 10 minutes at 94 C, followed by 40 cycles at 94 C for 10 seconds, 55 C for 30 seconds, and 72 C for 30 seconds, in a thermal cycler (GeneAmp PCR System 9700; Applied Biosystems). The PCR products were separated by electrophoresis on 2% agarose gels, stained with ethidium bromide, and visualized under ultraviolet light. Then, the PCR products were purified before direct sequencing was performed using the Big Dye Terminator Cycle Sequencing kit (Applied Biosystems) on an ABI Prism 310 genetic analyzer (Applied Biosystems). KRAS mutations in codons 12 and 13 and BRAF mutation in codon 600 were examined according to the raw nucleotide sequencing data in waveform obtained by direct sequencing.

Fn analysis

The amount of Fn DNA in tissues was measured by qPCR. Custom-made primer/probe sets were used to amplify Fn and the reference human gene solute carrier organic anion transporter family number 2A1 (SLCO2A1), as previously described (20). The primer and probe sequences are summarized in Supplemental Table 1 (Supplementary Digital Content 1, http://links.lww.com/CTG/A718). The qPCR was performed in 20 μL reactions containing 30 ng of genomic DNA (2 μL), 1× final concentration Prime time gene expression Master Mix 2.0 (IDT, Coralville, IA) (10 μL), each Prime qPCR assay (FAM/HEX) (1 μL), and deionized distilled water (6 μL). The DNA was amplified and detected with a Roche LightCycler 96 system (Roche, Basel, Switzerland) under the following conditions: 10 minutes at 95 C, then 45 cycles of 15 seconds at 95 C and 60 seconds at 60 C. All specimens were analyzed in duplicate. To exclude nonspecific PCR amplification, we regarded a specimen as Fn positive when both specimens were positive. The amount of Fn DNA in each tissue was calculated by 2−ΔCt, where ΔCt was the difference in the Ct value of Fn and SLCO2A1. The mean of the 2 Ct values for each reaction was used for analysis.

Histopathological examinations and Vienna classification

For histological analysis, SNADETs tissue specimens were routinely fixed with formalin and completely embedded in paraffin. Tissue blocks were thinly sectioned, routinely processed, and stained with hematoxylin and eosin. All SNADETs were histologically graded based on the revised Vienna classification (VCL) system (21). We defined VCL category 3 as low-grade adenoma/dysplasia, 4.1 as high-grade adenoma/dysplasia, and 4.2 as carcinoma in situ. VCL categories 5.1 and 5.2 were considered as intramucosal carcinoma and submucosal carcinoma or beyond, respectively. We classified VCL categories 3 and 4.1 as adenoma and 4.2 or more as adenocarcinoma. Adenocarcinoma was subdivided into differentiated or undifferentiated types depending on histopathological grading. Two investigators (T.T. and K.I.) assessed histological grade independently, and any disagreements were resolved through consensus.

Immunohistochemical examinations

FFPE tissue blocks were cut into 3-μm-thick tissue sections and subjected to hematoxylin and eosin and immunohistochemical staining. Immunohistochemical staining was performed by the standard avidin-biotin-peroxidase complex method with an automated immunostainer (BenchMark XT; Ventana Medical System, Tucson, AZ). Mucin phenotype of SNADETs was examined using MUC2 (Ccp58, monoclonal mouse; Dako, Denmark, UK), MUC5AC (CLH2, monoclonal mouse; Dako), MUC6 (CLH5, monoclonal mouse; Novus Biologicals, Littleton, CO), and CD10 (56C6, monoclonal mouse; Leica Biosystems, Newcastle, UK). The tumor's cytoplasmic immunoreactivity was judged positive for MUC2, MUC5AC, and MUC6. Luminal membranous immunoreactivity was judged positive for CD10. Immunohistochemical staining for gastric phenotype markers (MUC5AC and MUC6) and intestinal phenotype markers (MUC2 and CD10) were considered positive when distinct staining was observed in >10% of the cancer cells. The SNADETs were classified into 4 subtypes based on mucin immunohistochemistry: (1) gastric phenotype, (2) intestinal phenotype, (3) gastric and intestinal phenotype (mixed phenotype), and (4) not staining (null phenotype) (see Supplemental Figure 1, Supplementary Digital Content 1, http://links.lww.com/CTG/A717). For PD-L1 staining, sections were retrieved in EDTA buffer (pH 8.0) at 98 C for 20 minutes. A monoclonal antibody was used against the membranous and cytoplasmic domain of PD-L1 (SP263, monoclonal rabbit; Ventana Medical Systems) in immunostaining, and reactivity was evaluated for cancer cells. PD-L1 positivity was defined as a positive cell staining of any intensity on ≥1% of the cell membrane and cytoplasm. Two investigators (T.T. and K.I.), blinded to the patients' clinical information, collaboratively assessed the immunohistochemical results as well as the histological analysis and VCL classification.

Statistical analysis

All continuous variables are reported as the median (range), and comparisons were made using the Wilcoxon rank-sum test. All categorical variables are summarized as frequencies (percentages), with Pearson χ2 or Fisher exact tests used for examining comparisons. Overall survival (OS) was estimated by the Kaplan-Meier method, and differences were evaluated using the log-rank test. A Cox proportional hazard model was used to assess OS by TNM stage, tumor location, treatment methods, KRAS mutation, BRAF mutation, Fn, mucin phenotype, and PD-L1 status. All statistical tests were 2 sided, and a P value less than 0.05 was considered statistically significant. Statistical analyses were performed using the JMP 14 software program (SAS Institute, Cary, NC).

RESULTS

Patient characteristics

Of the 148 patients with SNADETs, 55 and 93 had duodenal adenomas and duodenal adenocarcinomas, respectively. The median age was 67 years, and there were 97 men and 51 women. Tumors were located on the oral (n = 79) or anal (n = 69) side of the papilla of Vater. Some patients also received endoscopic treatment (n = 71), surgical procedures (n = 59), chemotherapy (n = 9), and other treatments (n = 9; Table 1).
Table 1.

Patient and tumor characteristics

Neoplasia (n = 148)P valueAdenocarcinoma (n = 93)P value
Adenoma (n = 55)Adenocarcinoma (n = 93)Stages 0 and I (n = 45)Stages II, III, and IV (n = 48)
Sex (male/female)36/1961/320.9828/1733/150.50
Age, median (range)65 (36–83)68 (29–90)0.3368 (36–84)68 (29–90)0.54
VCL (3/4.1/4.2/5.1/5.2)52/3/0/0/00/0/30/8/550/0/30/8/70/0/0/0/48
TNM stage (0/I/II/III/IV)30/15/11/16/2130/15/0/0/00/0/11/16/21
Location (oral Vater/anal Vater)20/3559/34<0.01[a]24/2135/130.04[a]
Treatment (endoscopy/surgery/chemo/others)50/5/0/021/54/9/9<0.01[a]21/24/0/00/30/9/9<0.01[a]
Histology (differentiated/undifferentiated)81/1244/137/11<0.01[a]
KRAS, n (%)10 (18.1)23 (24.7)0.348 (17.7)15 (31.2)0.12
BRAF, n (%)1 (1.8)12 (12.9)0.01[a]2 (4.4)10 (20.8)0.01[a]
Fusobacterium, n (%)6 (10.9)23 (24.7)0.03[a]11 (24.4)12 (25.0)0.95
Mucin phenotype (gastric/intestinal/mix/null)2/40/12/139/34/12/8<0.01[a]11/26/8/028/8/4/8<0.01[a]
PD-L1 (negative/positive)68/2541/427/21<0.01[a]

Chemo, chemotherapy; PD-L1, programmed death-ligand 1; VCL, Vienna classification.

Statistically significant difference.

Patient and tumor characteristics Chemo, chemotherapy; PD-L1, programmed death-ligand 1; VCL, Vienna classification. Statistically significant difference. There were no cases of primary mortality from duodenal adenoma. On the other hand, primary mortality from duodenal adenocarcinoma increased with TNM stage, involving 0, 0, 4, 11, and 16 patient deaths from stages 0, I, II, III, and IV, respectively. Kaplan-Meier analysis divided on TNM stage revealed a significant effect on OS, as median survival was 93.1 months in stage II, 42.9 months in stage III, and 9.5 months in stage IV (P < 0.01; Figure 1).
Figure 1.

Kaplan-Meier plots for duodenal adenocarcinoma with TNM stage. There were no cases of primary mortality from duodenal adenocarcinoma in stages 0 and I. Median survival times in stages II, III, and IV were 93.1 months, 42.9 months, and 9.5 months, respectively (P < 0.01). This figure indicates disease specific survival.

Kaplan-Meier plots for duodenal adenocarcinoma with TNM stage. There were no cases of primary mortality from duodenal adenocarcinoma in stages 0 and I. Median survival times in stages II, III, and IV were 93.1 months, 42.9 months, and 9.5 months, respectively (P < 0.01). This figure indicates disease specific survival.

Genetic and epigenetic characteristics

Of the 148 patients with SNADETs, 33 had KRAS mutation, 13 had BRAF mutation, and 29 were Fn positive. Furthermore, a range of patients demonstrated gastric phenotype (n = 41), intestinal phenotype (n = 74), mixed phenotype (n = 24), and null phenotype (n = 9; Table 1). Comparing the 55 patients with duodenal adenoma with the 93 patients with duodenal adenocarcinoma showed significant differences in anatomical location (P < 0.01), treatment methods (P < 0.01), BRAF mutation (P = 0.01), Fn (P = 0.03), and mucin phenotype (P < 0.01). On the other hand, the 45 patients with early-stage duodenal adenocarcinoma showed significant differences in anatomical location (P = 0.04), treatment methods (P < 0.01), tumor histology (P < 0.01), BRAF mutation (P = 0.01), mucin phenotype (P < 0.01), and PD-L1 status (P < 0.01) compared with the 48 patients with advanced-stage duodenal adenocarcinoma (Table 1).

Duodenal adenocarcinoma

Kaplan-Meier analysis of survival in duodenal adenocarcinoma showed that TNM stage II or higher (P < 0.01), anatomical location (oral side of Vater; P = 0.03), undifferentiated (P < 0.01), KRAS mutation (P < 0.01), gastric phenotype (P = 0.01), intestinal phenotype (P < 0.01), and PD-L1 status (P < 0.01) significantly influenced patient outcomes (Figures 1–3).
Figure 3.

Kaplan-Meier plots for duodenal adenocarcinoma with Fn, mucin phenotype, and PD-L1 status. Kaplan-Meier analysis of Fn, mucin phenotype, and PD-L1 status showed that gastric phenotype (P = 0.01), intestinal phenotype (P < 0.01), and PD-L1 status (P < 0.01) had significant effects on overall survival. Fn, Fusobacterium nucleatum; PD-L1, programmed death-ligand 1.

Kaplan-Meier plots for duodenal adenocarcinoma with location, histology, KRAS, and BRAF. Kaplan-Meier analysis of anatomical location (oral side of the papilla of Vater), histology (undifferentiated), KRAS mutation, and BRAF mutation showed that anatomical location (oral side of Vater; P = 0.03), undifferentiated (P < 0.01), and KRAS mutation (P < 0.01) had significant effects on overall survival. Kaplan-Meier plots for duodenal adenocarcinoma with Fn, mucin phenotype, and PD-L1 status. Kaplan-Meier analysis of Fn, mucin phenotype, and PD-L1 status showed that gastric phenotype (P = 0.01), intestinal phenotype (P < 0.01), and PD-L1 status (P < 0.01) had significant effects on overall survival. Fn, Fusobacterium nucleatum; PD-L1, programmed death-ligand 1. In univariate analysis of primary mortality from duodenal adenocarcinoma, TNM stage II or higher (hazard ratio [HR]: 1.8 × 1010, 95% confidence interval [CI]: not calculable; P < 0.01), undifferentiated (HR: 3.66, CI: 1.43–8.24; P < 0.01), KRAS mutation (HR: 2.44, CI: 1.14–4.99; P = 0.02), gastric phenotype (HR: 2.45, CI: 1.19–5.30; P = 0.01), intestinal phenotype (HR: 0.15, CI: 0.03–0.43; P < 0.01), and PD-L1 status (HR: 2.84, CI:1.37–5.77; P < 0.01) were significant factors (Table 2). In multivariate analysis, TNM stage II or higher (HR: 1.63 × 1010, CI: 18.66–6.69 × 1036; P < 0.01) and KRAS mutation (HR: 3.49, CI: 1.52–7.91; P < 0.01) were found to be significant factors (Table 2).
Table 2.

Univariate and multivariate analyses of primary mortality from duodenal adenocarcinoma

UnivariateMultivariate
HRP valueHRP value
TNM stage (II, III, IV/0I)1.80 × 1010 (NA)<0.01[a]1.63 × 1010 (18.66–6.69 × 1036)<0.01[a]
Location (anal Vater/oral Vater)0.53 (0.23–1.13)0.10
Histology (undifferentiated/differentiated)3.66 (1.43–8.24)<0.01[a]1.41 (0.43–4.24)0.54
KRAS (mutation/wild)2.44 (1.14–4.99)0.02[a]3.49 (1.52–7.91)<0.01[a]
BRAF (mutation/wild)1.71 (0.63–3.91)0.26
Fusobacterium (positive/negative)1.51 (0.65–3.21)0.31
Mucin phenotype (gastric/others)2.45 (1.19–5.30)0.01[a]0.58 (0.22–1.64)0.29
Mucin phenotype (intestinal/others)0.15 (0.03–0.43)<0.01[a]0.24 (0.04–1.05)0.05
Mucin phenotype (mix/others)0.92 (0.22–2.63)0.90
Mucin phenotype (null/others)2.76 (0.92–6.74)0.06
PD-L1 (positive/negative)2.84 (1.37–5.77)<0.01[a]1.02 (0.43–2.37)0.95

NA: calculation was not possible due to the absence of primary deaths in stages 0 and I.

HR, hazard ratio; NA, not available; PD-L1, programmed death-ligand 1.

Statistically significant difference.

Univariate and multivariate analyses of primary mortality from duodenal adenocarcinoma NA: calculation was not possible due to the absence of primary deaths in stages 0 and I. HR, hazard ratio; NA, not available; PD-L1, programmed death-ligand 1. Statistically significant difference.

Characteristics of the patients with KRAS mutation

Patients with (n = 33) and without (n = 115) KRAS mutation exhibited significant differences in sex (P = 0.02), BRAF mutation (P < 0.01), and mucin phenotype (P < 0.01; Table 3). Moreover, of the 55 patients with duodenal adenoma, there were 10 patients with KRAS mutation, but no significant differences were found between these patients and the other 45 patients without KRAS mutation. However, among the 93 patients with duodenal adenocarcinoma, there were 23 patients with KRAS mutation, and they were significantly different from the 70 patients without KRAS mutation in terms of sex (P = 0.01), BRAF mutation (P < 0.01), and mucin phenotype (P = 0.01; Table 3).
Table 3.

Clinicopathological features focusing on the KRAS gene

Neoplasia (n = 148)P valueAdenoma (n = 55)P valueAdenocarcinoma (n = 93)P value
KRAS negative (n = 115)KRAS positive (n = 33)KRAS negative (n = 45)KRAS positive (n = 10)KRAS negative (n = 70)KRAS positive (n = 23)
Sex (male/female)81/3416/170.02a30/156/40.6951/1910/130.01a
Age, median (range)67 (29–84)68 (46–90)0.1865 (36–83)67.5 (46–80)0.8567 (29–84)69 (51–90)0.16
Tumor (adenoma/adenocarcinoma)45/7010/230.34
TNM stage (0/I/II/III/IV)25/12/8/10/155/3/3/6/60.59
Location (oral Vater/anal Vater)57/5822/110.0714/316/40.0943/2716/70.47
Treatment (endoscopy/surgery/chemo/others)57/46/6/614/13/3/30.6941/4/0/09/1/0/00.9116/42/6/65/12/3/30.83
Histology (differentiated/undifferentiated)60/1021/20.47
KRAS, n (%)
BRAF, n (%)13 (11.3)0 (0)<0.01a1 (2.2)0 (0)0.5212 (17.1)0 (0)<0.01a
Fusobacterium, n (%)21 (18.2)8 (24.2)0.455 (11.1)1 (10.0)0.9116 (22.8)7 (30.4)0.47
Mucin phenotype (gastric/intestinal/mix/null)24/65/18/817/9/6/1<0.01a1/36/7/11/4/5/00.0623/29/11/716/5/1/10.01a
PD-L1 (negative/positive)52/1816/70.66

PD-L1, programmed death-ligand 1.

Statistically significant difference.

Clinicopathological features focusing on the KRAS gene PD-L1, programmed death-ligand 1. Statistically significant difference.

DISCUSSION

We analyzed prognostic factors in 148 patients with SNADETs, focusing on TNM stage, the anatomical location of the tumor, KRAS mutation, BRAF mutation, Fn, mucin phenotype, and PD-L1 status. There were no primary deaths from nonampullary duodenal adenoma in this study. KRAS mutation was an independent factor for primary mortality in nonampullary duodenal adenocarcinoma, regardless of TNM stage (stage II or higher). These results indicate that KRAS mutation is a more important prognostic factor than anatomical location (oral side of Vater), gastric phenotype, and PD-L1 status, which have previously been reported as poor prognostic factors in sporadic nonampullary duodenal adenocarcinoma (14–16). In the present study, anatomical location, mucin phenotype, and PD-L1 were significant factors influencing OS (Kaplan-Meier analysis), but its effects were not supported in multivariate analysis. These findings demonstrate that careful consideration should be given to a patient's background information when evaluating mucin phenotype and PD-L1 status as prognostic factors. However, there seems to be some correlation between higher TNM stage and mucin phenotype and PD-L1 status (Table 1), suggesting that early detection may be difficult due to rapid clinical progression. The high prevalence of PD-L1 in more advanced TNM stages suggests that a more personalized treatment strategy, such as immune checkpoint inhibitors, could be possible for advanced-stage duodenal adenocarcinoma. With regard to the importance of KRAS mutations, there have been no previous reports showing a relationship between KRAS mutation and prognosis. Although some studies have reported subanalyses, all of which might have lacked significance because of the small number of patients included and the distribution of TNM stages (17,22). In our study, KRAS mutation was an independent prognostic factor along with TNM stage (stage II or higher), unlike anatomical location, mucinous phenotype, and PD-L1 status. Moreover, even if stages II, III, and IV were analyzed separately, KRAS mutation remained the only significant factor in stages II and III. Considering the poor prognosis of stage IV, the importance of KRAS mutation as a prognostic factor in stages II and III is even more distinguished (HR: 4.01 × 109, CI: 2.70–4.90 × 10308; P = 0.01; HR: 17.04, CI: 2.01–433.72; P < 0.01). Also, it is very interesting to note from Table 3 that there is a relationship between KRAS and sex or gastric phenotype. However, KRAS and BRAF could be understood from the perspective of a paradoxical relationship. The incidence of KRAS mutation in duodenal adenoma, early-stage duodenal adenocarcinoma, and advanced-stage duodenal adenocarcinoma was 18.1%, 17.7%, and 31.2%, respectively, with no significant differences (P = 0.20). There were cases of duodenal adenoma and early-stage duodenal adenocarcinoma with KRAS mutation but without primary mortality. Therefore, KRAS mutation in advanced-stage duodenal adenocarcinoma might have specific implications, and active treatment might be important for preventing advanced-stage neoplasia. Relationships between the role of KRAS mutation and prognosis have been reported in various carcinomas such as colorectal cancer (23,24) and pancreatic cancer (25). Among the KRAS mutations, mutations in codon 12 and codon 13 are particularly noteworthy. Some basic studies have shown that the basic GTPase activity of G12V is about one-fourth that of G12D and one-tenth that of wild-type KRAS (26,27). Furthermore, Rat-1 cells with G12V mutations have been shown to be significantly more invasive in vitro than clones with G12D mutations or wild-type KRAS (28,29). Based on these results, it is easy to speculate that cells with G12V mutations are more invasive and contribute to a worse prognosis. In our current results, we could not find any significant difference between G12V and other type of KRAS mutation in relation to prognosis (P = 0.20), although median survival time in G12V was shorter than others (11 months and 31.5 months, respectively). To clarify which type of KRAS mutation is particularly associated with prognosis, we will continue to accumulate more cases. The importance of Fn in colorectal tumors has recently been revealed. We have previously reported the presence of Fn in colorectal adenoma and colorectal cancer (20), and we hypothesized that Fn might play an important role in SNADETs as well. The incidence of Fn in duodenal adenoma, early-stage duodenal adenocarcinoma, and advanced-stage duodenal adenocarcinoma was 10.9%, 24.4%, and 25.0%, respectively (P = 0.10). However, Fn was not found to be a prognostic factor in this study. Several limitations of the present study should be noted. First, this was a retrospective study, which may not provide the same level of evidence that could be achieved with a prospective study. Furthermore, comparisons based on other demographic factors, such as race, were not possible. It is hoped that international collaborative studies will enable the collection of more cases for investigation. Second, the prognosis shown in Kaplan-Meier analysis requires careful interpretation because sample size of this study is inevitable small due to the focus on rare disease. Third, although some previous study demonstrated higher risk of malignant transformation in duodenal adenocarcinoma with CpG island methylator phenotype (30), current study did not evaluate CpG island methylation. Although conventional endoscopic treatment for duodenal adenomas and early-stage duodenal adenocarcinomas may be acceptable, the present findings suggest that treatment strategies for advanced-stage duodenal adenocarcinomas could potentially undergo a major shift. In light of our new findings, it is likely that molecularly targeted therapies, such as KRAS inhibitors, BRAF inhibitors, angiogenesis inhibitors, and immune checkpoint inhibitors, should be validated for treating advanced-stage duodenal adenocarcinoma, similar to the studies of colorectal cancer. If the response of duodenal adenocarcinoma was similar to that of colorectal cancer, angiogenesis inhibitors would be better than EGFR inhibitors for the treatment of duodenal adenocarcinoma with KRAS mutation. KRAS status might also be useful when considering adjuvant or neoadjuvant chemotherapy for duodenal adenocarcinoma, although the effect is still unclear at present. Also, liquid biopsy, which has been attracting attention as a noninvasive method in recent years (31), could be used to monitor treatment resistance in duodenal adenocarcinoma by targeting KRAS mutations. In conclusion, KRAS mutation was found to be a significant independent factor for prognosis, in addition to TNM stage. Although further molecular biological analysis is required to investigate the usefulness of candidate genes other than KRAS and BRAF, assessing KRAS mutation could be a very useful tool for treating sporadic nonampullary duodenal adenocarcinoma.

CONFLICTS OF INTEREST

Guarantor of the article: Hideaki Kinugasa, MD, PhD. Specific author contributions: H. Kinugasa designed and drafted the manuscript. H. Kinugasa, Y.Y., and M.N. collected the clinical data. H. Kinugasa, H. Kanzaki, T.T., S.Y., K.I., and T.M. were responsible for experiments. H. Kinugasa and T.M. analyzed the data. H. Kinugasa, K.N., and H.O. supervised the manuscript preparation. All authors approved the final manuscript. Financial support: This study was supported by JSPS KAKENHI (19k17433). Potential competing interests: None to report. This study was approved by the Institutional Review Boards of Okayama University Hospital and Hiroshima City Hospital and conducted in accordance with the Declaration of Helsinki.

WHAT IS KNOWN

✓ Sporadic nonampullary duodenal epithelial tumor detection rates are rising; however, their clinicopathology is poorly documented.

WHAT IS NEW HERE

✓ Sporadic nonampullary duodenal adenoma and early-stage adenocarcinoma had better survival. ✓ KRAS mutation of sporadic nonampullary duodenal adenocarcinoma was a significant prognostic factor.
  31 in total

1.  Primary neoplasms of the duodenum.

Authors:  S K Shukla; E G Elias
Journal:  Surg Gynecol Obstet       Date:  1976-06

Review 2.  Eighth Edition of the UICC Classification of Malignant Tumours: an overview of the changes in the pathological TNM classification criteria-What has changed and why?

Authors:  Luca Bertero; Federica Massa; Jasna Metovic; Roberto Zanetti; Isabella Castellano; Umberto Ricardi; Mauro Papotti; Paola Cassoni
Journal:  Virchows Arch       Date:  2017-12-05       Impact factor: 4.064

3.  Differences in in vitro invasive capacity induced by differences in Ki-Ras protein mutations.

Authors:  F Al-Mulla; E M MacKenzie
Journal:  J Pathol       Date:  2001-12       Impact factor: 7.996

4.  Cellular responsiveness to growth factors correlates with a cell's ability to express the transformed phenotype.

Authors:  P L Kaplan; B Ozanne
Journal:  Cell       Date:  1983-07       Impact factor: 41.582

5.  Usefulness of endoscopic treatment for duodenal adenoma.

Authors:  Masaki Endo; Yukito Abiko; Syuhei Oana; Norihiko Kudara; Toshimi Chiba; Kazuyuki Suzuki; Hitohiko Koizuka; Noriyuki Uesugi; Tamotsu Sugai
Journal:  Dig Endosc       Date:  2010-10       Impact factor: 7.559

6.  Whole-exome sequencing of duodenal adenocarcinoma identifies recurrent Wnt/β-catenin signaling pathway mutations.

Authors:  Wei Yuan; Zhou Zhang; Binghua Dai; Qing Wei; Jinjin Liu; Yuzhen Liu; Yun Liu; Lin He; Daizhan Zhou
Journal:  Cancer       Date:  2016-03-21       Impact factor: 6.860

7.  Kirsten ras mutations in patients with colorectal cancer: the 'RASCAL II' study.

Authors:  H J Andreyev; A R Norman; D Cunningham; J Oates; B R Dix; B J Iacopetta; J Young; T Walsh; R Ward; N Hawkins; M Beranek; P Jandik; R Benamouzig; E Jullian; P Laurent-Puig; S Olschwang; O Muller; I Hoffmann; H M Rabes; C Zietz; C Troungos; C Valavanis; S T Yuen; J W Ho; C T Croke; D P O'Donoghue; W Giaretti; A Rapallo; A Russo; V Bazan; M Tanaka; K Omura; T Azuma; T Ohkusa; T Fujimori; Y Ono; M Pauly; C Faber; R Glaesener; A F de Goeij; J W Arends; S N Andersen; T Lövig; J Breivik; G Gaudernack; O P Clausen; P D De Angelis; G I Meling; T O Rognum; R Smith; H S Goh; A Font; R Rosell; X F Sun; H Zhang; J Benhattar; L Losi; J Q Lee; S T Wang; P A Clarke; S Bell; P Quirke; V J Bubb; J Piris; N R Cruickshank; D Morton; J C Fox; F Al-Mulla; N Lees; C N Hall; D Snary; K Wilkinson; D Dillon; J Costa; V E Pricolo; S D Finkelstein; J S Thebo; A J Senagore; S A Halter; S Wadler; S Malik; K Krtolica; N Urosevic
Journal:  Br J Cancer       Date:  2001-09-01       Impact factor: 7.640

8.  Mutational heterogeneity in cancer and the search for new cancer-associated genes.

Authors:  Michael S Lawrence; Petar Stojanov; Paz Polak; Gregory V Kryukov; Kristian Cibulskis; Andrey Sivachenko; Scott L Carter; Chip Stewart; Craig H Mermel; Steven A Roberts; Adam Kiezun; Peter S Hammerman; Aaron McKenna; Yotam Drier; Lihua Zou; Alex H Ramos; Trevor J Pugh; Nicolas Stransky; Elena Helman; Jaegil Kim; Carrie Sougnez; Lauren Ambrogio; Elizabeth Nickerson; Erica Shefler; Maria L Cortés; Daniel Auclair; Gordon Saksena; Douglas Voet; Michael Noble; Daniel DiCara; Pei Lin; Lee Lichtenstein; David I Heiman; Timothy Fennell; Marcin Imielinski; Bryan Hernandez; Eran Hodis; Sylvan Baca; Austin M Dulak; Jens Lohr; Dan-Avi Landau; Catherine J Wu; Jorge Melendez-Zajgla; Alfredo Hidalgo-Miranda; Amnon Koren; Steven A McCarroll; Jaume Mora; Brian Crompton; Robert Onofrio; Melissa Parkin; Wendy Winckler; Kristin Ardlie; Stacey B Gabriel; Charles W M Roberts; Jaclyn A Biegel; Kimberly Stegmaier; Adam J Bass; Levi A Garraway; Matthew Meyerson; Todd R Golub; Dmitry A Gordenin; Shamil Sunyaev; Eric S Lander; Gad Getz
Journal:  Nature       Date:  2013-06-16       Impact factor: 49.962

9.  The consensus molecular subtypes of colorectal cancer.

Authors:  Justin Guinney; Rodrigo Dienstmann; Xin Wang; Aurélien de Reyniès; Andreas Schlicker; Charlotte Soneson; Laetitia Marisa; Paul Roepman; Gift Nyamundanda; Paolo Angelino; Brian M Bot; Jeffrey S Morris; Iris M Simon; Sarah Gerster; Evelyn Fessler; Felipe De Sousa E Melo; Edoardo Missiaglia; Hena Ramay; David Barras; Krisztian Homicsko; Dipen Maru; Ganiraju C Manyam; Bradley Broom; Valerie Boige; Beatriz Perez-Villamil; Ted Laderas; Ramon Salazar; Joe W Gray; Douglas Hanahan; Josep Tabernero; Rene Bernards; Stephen H Friend; Pierre Laurent-Puig; Jan Paul Medema; Anguraj Sadanandam; Lodewyk Wessels; Mauro Delorenzi; Scott Kopetz; Louis Vermeulen; Sabine Tejpar
Journal:  Nat Med       Date:  2015-10-12       Impact factor: 53.440

10.  The characteristics and outcomes of small bowel adenocarcinoma: a multicentre retrospective observational study.

Authors:  Hiroyuki Sakae; Hiromitsu Kanzaki; Junichiro Nasu; Yutaka Akimoto; Kazuhiro Matsueda; Masao Yoshioka; Masahiro Nakagawa; Shinichiro Hori; Masafumi Inoue; Tomoki Inaba; Atsushi Imagawa; Masahiro Takatani; Ryuta Takenaka; Seiyu Suzuki; Toshiyoshi Fujiwara; Hiroyuki Okada
Journal:  Br J Cancer       Date:  2017-10-05       Impact factor: 7.640

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