Literature DB >> 22208494

Assessing treatment effect in pancreatic cancer.

Douglas J Hartman1, Alyssa M Krasinskas.   

Abstract

CONTEXT: Pancreatic cancer is one of the most deadly forms of cancer (43,140 new cases per year; 36,800 deaths), and most people with pancreatic cancer do not survive past 5 years. New therapeutic regimens are constantly being evaluated in an attempt to reduce the rapid progression of this disease. Although some patients receive neoadjuvant therapy in an attempt to make a nonresectable or borderline-resectable tumor resectable, more patients with resectable disease are being enrolled in clinical trials that provide neoadjuvant therapy. This means more pancreatic resections must be evaluated for therapy effect. Histologic grading schemes for the assessment of posttherapy response have been described, but difficulties associated with determining the histologic features of treatment effect in pancreatic cancer have not been addressed.
OBJECTIVES: To critically review the diagnostic criteria for proposed grading schemes for pancreatic cancer treated with neoadjuvant chemoradiation therapy and to provide guidance to surgical pathologists who encounter treated pancreatic cancer resections. DATA SOURCES: Published peer-reviewed literature and the personal experience of the authors.
CONCLUSIONS: Assessment of treatment effect in pancreatic cancer is difficult. Pathologists need to be aware that some histologic features of treatment effect overlap with histologic features seen in untreated pancreatic cancer, such as tumor cell anaplasia, necrosis, and fibrosis. Careful assessment of pancreatic resections, including detailed gross examination and thorough histologic sampling, is important in accurately assessing treatment effect and improving patient outcomes.

Entities:  

Mesh:

Year:  2012        PMID: 22208494     DOI: 10.5858/arpa.2011-0144-RA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  23 in total

Review 1.  Pathologic assessment of gastrointestinal tract and pancreatic carcinoma after neoadjuvant therapy.

Authors:  Reetesh K Pai; Rish K Pai
Journal:  Mod Pathol       Date:  2017-08-04       Impact factor: 7.842

2.  PARP-1 regulates resistance of pancreatic cancer to TRAIL therapy.

Authors:  Kaiyu Yuan; Yong Sun; Tong Zhou; Jay McDonald; Yabing Chen
Journal:  Clin Cancer Res       Date:  2013-07-05       Impact factor: 12.531

3.  Having pancreatic cancer with tumoral loss of ATM and normal TP53 protein expression is associated with a poorer prognosis.

Authors:  Haeryoung Kim; Burcu Saka; Spencer Knight; Michael Borges; Erica Childs; Alison Klein; Christopher Wolfgang; Joseph Herman; Volkan N Adsay; Ralph H Hruban; Michael Goggins
Journal:  Clin Cancer Res       Date:  2014-01-31       Impact factor: 12.531

4.  Cancer-associated fibroblast-derived annexin A6+ extracellular vesicles support pancreatic cancer aggressiveness.

Authors:  Julie Leca; Sébastien Martinez; Sophie Lac; Jérémy Nigri; Véronique Secq; Marion Rubis; Christian Bressy; Arnauld Sergé; Marie-Noelle Lavaut; Nelson Dusetti; Céline Loncle; Julie Roques; Daniel Pietrasz; Corinne Bousquet; Stéphane Garcia; Samuel Granjeaud; Mehdi Ouaissi; Jean Baptiste Bachet; Christine Brun; Juan L Iovanna; Pascale Zimmermann; Sophie Vasseur; Richard Tomasini
Journal:  J Clin Invest       Date:  2016-10-04       Impact factor: 14.808

5.  Cytoplasmic PARP-1 promotes pancreatic cancer tumorigenesis and resistance.

Authors:  Fei Xu; Yong Sun; Shan-Zhong Yang; Tong Zhou; Nirag Jhala; Jay McDonald; Yabing Chen
Journal:  Int J Cancer       Date:  2019-01-24       Impact factor: 7.396

6.  Reliable Detection of Somatic Mutations in Fine Needle Aspirates of Pancreatic Cancer With Next-generation Sequencing: Implications for Surgical Management.

Authors:  Vicente Valero; Tyler J Saunders; Jin He; Matthew J Weiss; John L Cameron; Avani Dholakia; Aaron T Wild; Eun Ji Shin; Mouen A Khashab; Anne Marie O'Broin-Lennon; Syed Z Ali; Daniel Laheru; Ralph H Hruban; Christine A Iacobuzio-Donahue; Joseph M Herman; Christopher L Wolfgang
Journal:  Ann Surg       Date:  2016-01       Impact factor: 12.969

7.  Histologic parameters predictive of disease outcome in women with advanced stage ovarian carcinoma treated with neoadjuvant chemotherapy.

Authors:  Damanzoopinder Samrao; Dan Wang; Faith Ough; Yvonne G Lin; Song Liu; Teodulo Menesses; Annie Yessaian; Nicole Turner; Tanja Pejovic; Paulette Mhawech-Fauceglia
Journal:  Transl Oncol       Date:  2012-12-01       Impact factor: 4.243

8.  Considerations for the prediction of survival time in pancreatic cancer based on registry data.

Authors:  Gaurav Bajaj; Erin Dombrowsky; Qilu Yu; Banke Agarwal; Jeffrey S Barrett
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-07-12       Impact factor: 2.745

9.  CT prediction of resectability and prognosis in patients with pancreatic ductal adenocarcinoma after neoadjuvant treatment using image findings and texture analysis.

Authors:  Bo Ram Kim; Jung Hoon Kim; Su Joa Ahn; Ijin Joo; Seo-Youn Choi; Sang Joon Park; Joon Koo Han
Journal:  Eur Radiol       Date:  2018-06-21       Impact factor: 5.315

10.  Pan-Tumor Pathologic Scoring of Response to PD-(L)1 Blockade.

Authors:  Julie E Stein; Evan J Lipson; Tricia R Cottrell; Patrick M Forde; Robert A Anders; Ashley Cimino-Mathews; Elizabeth D Thompson; Mohamad E Allaf; Mark Yarchoan; Josephine Feliciano; Hao Wang; Elizabeth M Jaffee; Drew M Pardoll; Suzanne L Topalian; Janis M Taube
Journal:  Clin Cancer Res       Date:  2019-10-31       Impact factor: 12.531

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