Pancreatic Cancer Clinical Trial
Official title:
Mutation of K-RAS, CDKN2A, SMAD4 and TP53 in Pancreatic Cancer: Role of Liquid Biopsy in Preoperative Diagnosis
Pancreatic cancers represent a challenge for the multidisciplinal team. A patient-tailored
treatment plan requires an accurate preoperative staging. Currently more than 40% of patient
taken to the OR are actually unresectable and another 40% will shortly recur with dismal
prognosis.
Among patients that meet upfront surgery some would have benefit of a neoadjuvant treatment
and vice versa. Accuracy of preoperative staging is of primary importance in treatment
decisional making. Due to its location, invasive preoperative diagnostic tests on pancreatic
cancer are expensive and risky. Liquid biopsy provides a non-invasive signature of the tumor.
Analyzing mutations on cell-free nucleic acids gives translational information on tumor
biology and therefore on its clinic-pathological features and likely on its progression. This
study would be the first -in our knowledge- analyzing the relationship of a pattern of 4
major genes involved in pancreatic cancer progression on liquid biopsy and the time to
recurrence and T-stage, with particular attention to vascular invasion. A properly staged
patient provides a better resource allocation, an optimal treatment plan and improves
patient's outcomes.
BACKGROUND Pancreatic cancer is the 4th cancer-related cause of death in Western countries
and it is expected to become the 2nd leading cause of death by 2030 [1]. Approximately 80% of
patients are unresectable at diagnosis [2] including a 41.4% of patients found unresectable
at exploratory laparoscopy/tomy [3]. Moreover up to 38% of eventually resected patients will
need a vascular resection in order to achieve a radical pancreatectomy [4], just over half of
which because of a histological invasion [2]. Last but not least, successfully resected
patients will recur within 12 months in more than 40% of cases with dismal prognosis [5].
Those early recurrent patients will show local spread or metastatic disease within 12 months
with a post-recurrence survival and overall survival more than halved compared to patients
recurring beyond one year from resection [5]. Laparotomy may be therefore useless in such
patients. In this setting neoadjuvant treatment plays a key-role. It has the potential
advantages to deliver systemic therapy to all patients with an increased efficacy of radio-
and chemotherapies distributed in a virgin field, identify patients with aggressive tumor
biology that could recur shortly after surgery and thus would not benefit form an operation.
Moreover neoadjuvant therapy could downstage the tumor avoiding major vessels resections,
decrease positive margins resections and decrease post-operative pancreatic fistulas [6].
Unfortunately imaging is no longer reliable in predicting resectability after neoadjuvant
treatment [7]. The total mean direct cost of a patient with a resectable disease is $134,700,
while for metastatic or unresectable patients this cost is $49,000-65,300 [8]. A properly
staged patient provides a better resource allocation.
Liquid biopsy provides an non-invasive signature of the tumor, it is based circulating
genetic material coming from cellular turnover and thus especially from the tumor [9].
Analyzing mutations on cell-free nucleic acids gives translational information on tumor
biology and therefore on its clinico-pathological features and likely on its progression.
Pancreatic cancer progression has long been studied. What is clear is that activating K-RAS
mutations are an early event in most lesions, followed by inactivating mutations in CDKN2A,
TP53 and SMAD4 [10]. Those 4 mountain genes are predictive of progression pattern in an
autoptic study: patients with 2 or less genes mutations were more likely to develop
oligometastatic failure and to harbor earlier disease stage at diagnosis compared to those
with 3 or more mutated genes [11]. K-RAS mutations have been associated to a worse overall
survival in particular when found in peripheral blood by liquid biopsy [12]. CDKN2A mutations
have been associated to lymphatic invasion and widespread metastatic recurrence [13]. TP53
mutations have been associated to poor differentiation and locoregional recurrence [13].
Finally SMAD4 mutations have been associated to portal vein invasion, perineural invasion and
lymph vessel invasion [14]. Besides evidences on those mountain genes there is a growing body
of evidence of several stage and prognosis predictors: MET protein over expression
significantly correlated with increased TNM stage and worsened survival [15]; EDIL3
expression was significantly up-regulated in PDAC in both cell lines and clinical specimens
and correlated with patients' TNM stage, T classification and overall survival times [16];
BRCA1/BRCA2 mutation predict significantly shorter disease-free and overall survival [17];
High RAB27A expression was significantly associated with vascular invasion and tumor stage
[18].
Those data have been validated on samples of the tumor and thus usually on specimens since
only 53,3% of ultrasound guided biopsies provides enough material for histopathology and/or
immunohistochemistry [19]. Recent evidences show that pancreatic cancer is one of the 4
cancers, along with colorectal, gastroesophageal and breast cancer, in which detectable ctDNA
levels are present either in localized either in metastatic stages [20]. As seen in previous
studies, the concordance between plasma and primary tumor mutations is as high as 100% in
pancreatic cancer [9, 21].
The study of those mutations on liquid biopsy would provide non-invasive informations on
preoperative staging and pattern progression and therefore a more accurate therapeutic
planning.
AIM OF THE PROJECT This study is a pilot study. Genomic data will be described along with the
clinical features of the disease for each patient.
The primary objective of this study is to evaluate the relationship of mutations of the main
genes responsible for pancreatic cancer progression (K-RAS, CDKN2A, SMAD4 and TP53) along
with others related to stage and prognosis (MET, BRCA1/BRCA2, EDIL3 and RAB27A) detected on
peripheral blood and time to progression and vascular invasion in patients undergoing
pancreatectomy. Other outcomes of interest will be clinicopathological and operative features
such as operative time, type of vascular resection, clinical stage, pathological T-, N- and
M-stage, margin status and overall-survival.
MATERIALS AND METHOD Patients with non-metastatic PaC undergoing pancreatic resection will be
enrolled from surgery departments of a multi center international web. Blood samples in EDTA
will be centrifugated at 2300 rpm for 10min twice. Liquid biopsies will be preoperatively
collected and stored at -80°. An protected anonymous multi parametric database will be filled
with all relevant patient's and disease's informations (sex, birth date, comorbidities, BMI,
lab tests, imaging clinical stage, operation time, operation type, ICU stay, Dindo-Clavien
post-operative morbidity, pathological stage, TNM, Grading, ajcc 8th stage, perineural,
vascular and lymphatic invasion, resection margins, disease free survival, overall survival)
and K-RAS, CDKN2A, SMAD4, TP53, MET, BRCA1/BRCA2, RAB27A and EDIL3 somatic genetic mutations
on liquid biopsy with Next Generation Sequencing (NGS).
Recruitment will be multicentric: AOU sant'andrea di Roma, Policlinico Universitario Gemelli
di Roma, St Vincent University Hospital Dublino, Policlinico Universitario di Modena.
STATISTICAL ANALYSIS Assessment of relationship among gene mutations and vascular invasion
will be performed by means of logistic regression models. An overall score will be prepared
based on rounding of estimated log-odds ratios and its performance evaluated by means of ROC
curves and C-statistic.
An evaluation of the conditional association will also be performed by means of multivariable
logistic regression models, which will be selected by minimizing the Akaike Information
Criterion.
To assess secondary outcomes we will also use Cox regression models in a similar fashion.
To the best of our knowledge, there is information in the literature regarding the frequency
of vascular invasion in pancreatectomies with vascular resection (56.7%), and about mutations
of the genes of interest in pancreatic ductal adenocarcinoma (the lowest mutated allele
frequency being 30% for CDKN2A). Since there is no previous hypothesis on the relationship
among genes and vascular invasion, and since this study simply involves the analysis of a
small amount of blood posing no additional risk for the patient, we decided to perform a
pilot study based on 50 patients. A fully planned and adequately powered study will be then
conducted on the basis of the results of this pilot study. The sample size of 50 is deemed
small enough (considering, as stated, the no additional risk and no use of invasive
techniques) but large enough to guarantee that the final contingency table is not sparse. All
analyses will be conducted with the R software.
CONCLUSIONS Non-metastatic PaC represent a challenge in staging and prognosis definition. A
patient tailored treatment requires an accurate preoperative staging. Up to now more than 40%
of patients thought to be resectable exit the operating room unresected and another 40% of
resected patients recur within one year. Among patients who are offered a surgery, some would
benefit of a neoadjuvant treatment and some others of palliative treatments. This is why a
reliable preoperative staging is essential in therapeutic decisional making. Invasive
diagnostic tests of the pancreas are expensive and risky due to its central retroperitoneal
location. Liquid biopsy offers a non invasive tumor characterization. This study will be the
first analyzing the relationship of the four major genes, along with 5 other prognostic
genes, involved in pancreatic cancer genesis and progression and T stage with special
attention to early recurrence and vascular invasion, by liquid biopsy. This will result in a
better resource allocation, treatment planning and patients outcomes.
REFERENCES
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3. Cochrane Database Syst Rev. 2016 Jul 6;7:CD009323
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5. Ann Surg 2018 Mar 23 Epub ahead of print.
6. J Gastrointest Oncol. 2015 Aug;6(4):418-29.
7. Ann Surg. 2017 Dec 7. doi: 10.1097/SLA.0000000000002600. [Epub ahead of print]
8. Cancer. 2012 Oct 15;118(20):5132-9
9. Science 2018 Feb 23:359(6378):926-930.
10. Oncogene. 2013 Nov 7;32(45):5253-60.
11. Clin Cancer Res 2012 Nov 15;18(22):6229-47.
12. Cancer 2015 Jul 1;121(13):2271-80.
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15. World J Gastroenterol 2014 Jul 14;20(26):8458-70.
16. Oncotarget 2016 Jan 26;7(4):4226-40.
17. J Am Coll Surg 2018 Apr;226(4):630-637.
18. Med Oncol (2015) 32:372.
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20. Sci Transl Med 2014 Feb 19;6(224):224ra24.
21. Proc Natl Acad Sci U S A 2017 Sep 19;114(38):10202-10207.
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