Altered metabolism and machine learning for pancreatic cancer early detection

改变新陈代谢和机器学习以实现胰腺癌早期检测

基本信息

  • 批准号:
    10705708
  • 负责人:
  • 金额:
    $ 81.16万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-16 至 2027-08-31
  • 项目状态:
    未结题

项目摘要

PROJECT SUMMARY Pancreatic cancer is the 3rd leading cause of cancer death in the United States. The high mortality of pancreatic ductal adenocarcinoma (PDAC) is largely a consequence of diagnosis at an advanced stage when the tumor is no longer treatable for cure. Currently, asymptomatic screening for PDAC is not recommended for the general population, with screening pursued only for a small subset of patients with pancreatic cystic lesions or strong genetic risk for PDAC. Even when cancer is identified early, patients can have rapid recurrence after surgical resection, most often with liver metastases. To improve outcomes for patients with PDAC, a number of important advancements are urgently needed, including improved risk assessment to identify those at elevated risk for PDAC, new non-invasive biomarkers to select individuals for intensive imaging surveillance, and better strategies to identify those with localized tumors who are at risk for rapid recurrence after surgical resection. In the current proposal, we directly address these critical areas of need, focusing on: (a) machine learning models for risk assessment from electronic medical record data (Aim 1), (b) development of non-invasive biomarkers from stool and computed tomography (CT) imaging that measure metabolic alterations caused by early PDAC (Aim 2), and (c) characterization of CT imaging and circulating cell-free DNA methylation patterns to predict presence of occult metastases at the time of surgical resection (Aim 3). Furthermore, we will collect and make available clinical data, blood samples, stool samples, imaging studies, and tumor tissue from multiple patient populations critical to PDAC early detection research, including those with early-stage PDAC, chronic pancreatitis, genetic PDAC risk, pancreatic cystic lesions, and non-cancer controls (Aim 4). To accomplish the proposed work, we have assembled a highly experienced and collaborative team that is fully committed to working together and with other Pancreatic Cancer Detection Consortium units. Thus, we will leverage cutting- edge machine learning approaches, develop multiple innovative, non-invasive biomarker technologies, and collect a large array of data and clinical samples for collaborative activities within and outside the Pancreatic Cancer Detection Consortium. With a highly dedicated expert team and clear scientific plan, we expect to achieve our near-term goal of reducing pancreatic cancer mortality by finding PDAC earlier and treating it more effectively for cure.
项目总结

项目成果

期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease.
  • DOI:
    10.1038/s41467-018-07466-6
  • 发表时间:
    2018-11-29
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Moss J;Magenheim J;Neiman D;Zemmour H;Loyfer N;Korach A;Samet Y;Maoz M;Druid H;Arner P;Fu KY;Kiss E;Spalding KL;Landesberg G;Zick A;Grinshpun A;Shapiro AMJ;Grompe M;Wittenberg AD;Glaser B;Shemer R;Kaplan T;Dor Y
  • 通讯作者:
    Dor Y
Association Between Polycystic Ovary Syndrome and Risk of Pancreatic Cancer.
多囊卵巢综合症与胰腺癌风险之间的关联。
  • DOI:
    10.1001/jamaoncol.2022.4540
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    28.4
  • 作者:
    Peeri,NoahC;Landicino,MarcoV;Saldia,CAmethyst;Kurtz,RobertC;Rolston,VineetS;Du,Mengmeng
  • 通讯作者:
    Du,Mengmeng
Liquid biopsy reveals collateral tissue damage in cancer.
  • DOI:
    10.1172/jci.insight.153559
  • 发表时间:
    2022-01-25
  • 期刊:
  • 影响因子:
    8
  • 作者:
    Lubotzky A;Zemmour H;Neiman D;Gotkine M;Loyfer N;Piyanzin S;Ochana BL;Lehmann-Werman R;Cohen D;Moss J;Magenheim J;Loftus MF;Brais L;Ng K;Mostoslavsky R;Wolpin BM;Zick A;Maoz M;Grinshpun A;Kustanovich A;Makranz C;Cohen JE;Peretz T;Hubert A;Temper M;Salah A;Avniel-Polak S;Grozinsky-Glasberg S;Spalding KL;Rokach A;Kaplan T;Glaser B;Shemer R;Dor Y
  • 通讯作者:
    Dor Y
Reply to the letter to the editor 'Borderline resectable pancreatic cancer: an evolving concept' by Petrucciani et al.
回复 Petrucciani 等人给编辑的信“边缘性可切除胰腺癌:一个不断发展的概念”。
Islet cells share promoter hypomethylation independently of expression, but exhibit cell-type-specific methylation in enhancers.
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Michael H. Rosenthal其他文献

Diagnosis and management of duodenal adenocarcinomas: a comprehensive review for the radiologist
  • DOI:
    10.1007/s00261-014-0309-4
  • 发表时间:
    2014-11-27
  • 期刊:
  • 影响因子:
    2.200
  • 作者:
    Chong Hyun Suh;Sree Harsha Tirumani;Atul B. Shinagare;Kyung Won Kim;Michael H. Rosenthal;Nikhil H. Ramaiya;Akshay D. Baheti
  • 通讯作者:
    Akshay D. Baheti
An Aggressive Presentation of Colorectal Cancer With an Atypical Lymphoproliferative Pattern of Metastatic Disease: A Case Report and Review of the Literature
  • DOI:
    10.1016/j.clcc.2014.05.002
  • 发表时间:
    2014-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sonali M. Shah;Michael H. Rosenthal;Gabriel K. Griffin;Eric D. Jacobsen;Nadine J. McCleary
  • 通讯作者:
    Nadine J. McCleary
568 ASSOCIATION OF VISCERAL ADIPOSITY WITH INCIDENT AND RECURRENT DIVERTICULITIS IN AN ELECTRONIC HEALTH RECORDBASED COHORT STUDY
  • DOI:
    10.1016/s0016-5085(24)00800-x
  • 发表时间:
    2024-05-18
  • 期刊:
  • 影响因子:
  • 作者:
    Jane Ha;Christopher P. Bridge;Katherine P. Andriole;Avinash Kambadakone;Florian J. Fintelmann;Michael H. Rosenthal;Randy L. Gollub;Edward Giovannucci;Lisa L. Strate;Wenjie Ma;Andrew T. Chan
  • 通讯作者:
    Andrew T. Chan
The management of retroperitoneal lymphadenopathy in spermatocytic seminoma of the testicle
  • DOI:
    10.1016/j.clinimag.2013.11.006
  • 发表时间:
    2014-03-01
  • 期刊:
  • 影响因子:
  • 作者:
    Farhana Sharmeen;Michael H. Rosenthal;Stephanie A.H. Howard
  • 通讯作者:
    Stephanie A.H. Howard

Michael H. Rosenthal的其他文献

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{{ truncateString('Michael H. Rosenthal', 18)}}的其他基金

Altered metabolism and machine learning for pancreatic cancer early detection
改变新陈代谢和机器学习以实现胰腺癌早期检测
  • 批准号:
    10526719
  • 财政年份:
    2022
  • 资助金额:
    $ 81.16万
  • 项目类别:

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