Evidence map›Paper›PMID 28424201›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2017

Jian-Ming Xu, Yan Wang, You-Liang Wang, Yan Wang, Tao Liu, Ming Ni, Man-Sheng Li, Li Lin, Fei-Jiao Ge, Chun Gong and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. In Silico Analysis of Squamous Cell Carcinoma.Advances in experimental medicine and biology · 2026
    Review
  6. International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Development ofJournal of cancer research and clinical oncology · 2023
    Article
  12. Review
  13. Asparaginyl endopeptidase contributes to cetuximab resistance via MEK/ERK signaling in RAS wide-type metastatic colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. NSAIDs OvercomeCancers · 2022
    Article
  20. 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

21 authors at 7 institutions in 2 countries.

Jian-Ming XuAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China. jmxu2003@yahoo.com.
Yan WangAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
You-Liang WangBeijing Institute of Biotechnology, Beijing, China.
Yan WangQuestGenomics Biotechnology Co, Ltd. Nanjing, Jiangsu, China.
Tao LiuCenter of Computational Biology, Institute of Basic Medical Sciences, Beijing, China.
Ming NiBeijing Institute of Radiation Medicine, Beijing, China.
Man-Sheng LiBeijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China.
Li LinAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Fei-Jiao GeAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Chun GongQuestGenomics Biotechnology Co, Ltd. Nanjing, Jiangsu, China.
Jun-Yan GuQuestGenomics Biotechnology Co, Ltd. Nanjing, Jiangsu, China.
Ru JiaAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
He-Fei WangAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Yu-Ling ChenAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Rong-Rui LiuAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Chuan-Hua ZhaoAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Zhao-Li TanAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Yang JinAffiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing, China.
Yun-Ping ZhuBeijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, China.
Shuji OginoDivision of MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts.
Zhi-Rong QianDepartment of Oncologic Pathology, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, Massachusetts.
Academy of Military Medical Sciences · CNBeijing Proteome Research Center · CNMedomics (China) · CNBeijing Radiation Center · CNBrigham and Women's Hospital · USDana-Farber Cancer Institute · USInstitute of Applied Physics and Computational Mathematics · CN

Funding

Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
NCI NIH HHS R35 CA197735
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

MutationAdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalCetuximabCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesColorectal NeoplasmsDisease-Free SurvivalDNA Mutational AnalysisDrug Resistance, NeoplasmFemaleHumansMaleMiddle AgedAntineoplastic Agents, ImmunologicalCetuximabCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesKRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID28424201
PMCPMC5559326
OpenAlexW2606050648

What OpenQuestion holds

Textmetadata
LicenceTDM
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.