Evidence map›Paper›PMID 27053844›Full record

ReviewWorld journal of gastroenterology2016

Serrated colorectal cancer: Molecular classification, prognosis, and response to chemotherapy.

Oscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Molecular Oncology in Management of Colorectal Cancer.Indian journal of surgical oncology · 2021
    Article
  10. Article
  11. Relationship betweenAnnals of medicine and surgery (2012) · 2020
    Article
  12. Article
  13. Review
  14. Prevalence of theJournal of investigative medicine : the official publication of the American Federation for Clinical Research · 2020
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Deep Learning With Sampling in Colon Cancer Histology.Frontiers in bioengineering and biotechnology · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Oscar MurciaOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.
Miriam JuárezOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.
Eva Hernández-IllánOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.
Cecilia EgoavilOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.
Mar Giner-CalabuigOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.
María Rodríguez-SolerOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.
Rodrigo JoverOscar Murcia, Miriam Juárez, Eva Hernández-Illán, Cecilia Egoavil, Mar Giner-Calabuig, María Rodríguez-Soler, Rodrigo Jover, Unidad de Gastroenterología, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria Isabial, 03010 Alicante, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular advances support the existence of an alternative pathway of colorectal carcinogenesis that is based on the hypermethylation of specific DNA regions that silences tumor suppressor genes. This alternative pathway has been called the serrated pathway due to the serrated appearance of tumors in histological analysis. New classifications for colorectal cancer (CRC) were proposed recently based on genetic profiles that show four types of molecular alterations: BRAF gene mutations, KRAS gene mutations, microsatellite instability, and hypermethylation of CpG islands. This review summarizes what is known about the serrated pathway of CRC, including CRC molecular and clinical features, prognosis, and response to chemotherapy.

Indexed as

Colorectal NeoplasmsMolecular Diagnostic TechniquesAntineoplastic AgentsBiomarkers, TumorCpG IslandsDNA MethylationGenetic Predisposition to DiseaseHumansMicrosatellite InstabilityMutationNeoplasm StagingPhenotypePredictive Value of TestsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Treatment OutcomeAntineoplastic AgentsBiomarkers, TumorBRAF protein, humanKRAS protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)ChemotherapyCIMPColorectal cancerMethylator phenotypeSerrated pathway

Identifiers

PMID27053844
PMCPMC4814638

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.