Evidence map›Paper›PMID 27982025›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2017

Morphological characterization of colorectal cancers in The Cancer Genome Atlas reveals distinct morphology-molecular associations: clinical and biological implications.

Jinru Shia, Nikolaus Schultz, Deborah Kuk, Efsevia Vakiani, Sumit Middha, Neil H Segal, Jaclyn F Hechtman, Michael F Berger, Zsofia K Stadler, Martin R Weiser and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

63 citing papers in PubMed, 110 citations in OpenAlex.

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  13. Multiomics Reveals the Immunologic Features and the Immune Checkpoint Blockade Potential of Colorectal Medullary Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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3 more citing papers are in PubMed but not listed here.

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

14 authors at 2 institutions in 1 country.

Jinru ShiaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nikolaus SchultzComputational Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Deborah KukDepartment of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Efsevia VakianiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sumit MiddhaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Neil H SegalDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jaclyn F HechtmanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael F BergerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Zsofia K StadlerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Martin R WeiserDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jedd D WolchokDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
C Richard BolandGI Cancer Research Laboratory, Baylor University Medical Center; GI Cancer Research Laboratory, Baylor Scott & White Research Institute, Dallas, TX, USA.
Mithat GönenDepartment of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
David S KlimstraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USBaylor University Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The Cancer Genome Atlas data on colorectal carcinoma have provided a comprehensive view of the tumor's genomic alterations and their tumorigenic roles. Tumor morphology, however, has not been fully integrated into the analysis. The aim of this study was to explore relevant associations between tumor morphology and the newly characterized genomic alterations in colorectal carcinoma. Two hundred and seven colorectal carcinomas that had undergone whole-exome sequencing as part of The Cancer Genome Atlas project and had adequate virtual images in the cBioPortal for Cancer Genomics constituted our study population. Upon analysis, a tight association between 'microsatellite instability-high histology' and microsatellite instability-high (P<0.001) was readily detected and helped validate our image-based histology evaluation. Further, we showed, (1) among all histologies, the not otherwise specified type had the lowest overall mutation count (P<0.001 for entire cohort, P<0.03 for the microsatellite-instable group), and among the microsatellite-instable tumors, this type also correlated with fewer frameshift mutations in coding mononucleotide repeats of a defined set of relevant genes (P<0.01); (2) cytosine phosphate guanine island methylator phenotype-high colorectal cancers with or without microsatellite instability tended to have different histological patterns: the former more often mucinous and the latter more often not otherwise specified; (3) mucinous histology was associated with more frequent alterations in BRAF, PIK3CA, and the transforming growth factor-β pathway when compared with non-mucinous histologies (P<0.001, P=0.01, and P<0.001, respectively); and (4) few colorectal cancers (<9%) exhibited upregulation of immune-inhibitory genes including major immune checkpoints; these tumors were primarily microsatellite-instable (up to 43%, vs <3% in microsatellite-stable group) and had distinctly non-mucinous histologies with a solid growth. These morphology-molecular associations are interesting and propose important clinical implications. The morphological patterns associated with alterations of immune checkpoint genes bear the potential to guide patient selection for clinical trials that target immune checkpoints in colorectal cancer, and provide directions for future studies.

Indexed as

CarcinomaClass I Phosphatidylinositol 3-KinasesColorectal NeoplasmsDNA MethylationHumansMicrosatellite InstabilityProto-Oncogene Proteins B-rafTransforming Growth Factor betaBRAF protein, humanClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humanProto-Oncogene Proteins B-rafTransforming Growth Factor beta

Identifiers

PMID27982025
PMCPMC5380525
OpenAlexW2565789802

What OpenQuestion holds

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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.