Evidence map›Paper›PMID 29802988›Full record

ArticleNeoplasia (New York, N.Y.)2018

Biologic Response of Colorectal Cancer Xenograft Tumors to Sequential Treatment with Panitumumab and Bevacizumab.

Hiroya Taniguchi, Yuji Baba, Yoji Sagiya, Masamitsu Gotou, Kazuhide Nakamura, Hiroshi Sawada, Kazunori Yamanaka, Yukiko Sakakibara, Ikuo Mori, Yukiko Hikichi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Controversies in the treatment of RAS wild-type metastatic colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Guideline
  2. Trial
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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

12 authors at 3 institutions in 1 country.

Hiroya TaniguchiDepartment of Clinical Oncology, Aichi Cancer Center Hospital, Nagoya 464-8681, Japan.
Yuji BabaPharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.
Yoji SagiyaJapan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Limited, Tokyo 103-8668, Japan.
Masamitsu GotouPharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.
Kazuhide NakamuraPharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.
Hiroshi SawadaPharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.
Kazunori YamanakaPharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.
Yukiko SakakibaraJapan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Limited, Tokyo 103-8668, Japan.
Ikuo MoriJapan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Limited, Tokyo 103-8668, Japan.
Yukiko HikichiProduct Information Group, Japan Oncology Business Unit, Takeda Pharmaceutical Company Limited, Tokyo 103-8668, Japan.
Junpei SoedaJapan Medical Affairs, Japan Oncology Business Unit, Takeda Pharmaceutical Company Limited, Tokyo 103-8668, Japan. Electronic address: jumpei.soeda@takeda.com.
Hideo BabaDepartment of Gastroenterological Surgery, Kumamoto University, Kumamoto 860-8556, Japan.
Takeda (Japan) · JPAichi Cancer Center · JPKumamoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies in RAS wild-type (WT) metastatic colorectal cancer (mCRC) suggest that the survival benefits of therapy using anti-epidermal growth factor receptor (anti-EGFR) and anti-vascular endothelial growth factor (anti-VEGF) antibodies combined with chemotherapy are maximized when the anti-EGFR antibody is given as first-line, followed by subsequent anti-VEGF antibody therapy. We report reverse-translational research using LIM1215 xenografts of RAS WT mCRC to elucidate the biologic mechanisms underlying this clinical observation. Sequential administration of panitumumab then bevacizumab (PB) demonstrated a stronger tendency to inhibit tumor growth than bevacizumab then panitumumab (BP). Cell proliferation was reduced significantly with PB (P < .01) but not with BP based on Ki-67 index. Phosphoproteomic analysis demonstrated reduced phosphorylation of EGFR and EPHA2 with PB and BP compared with control. Western blotting showed reduced EPHA2 expression and S897-phosphorylation with PB; RSK phosphorylation was largely unaffected by PB but increased significantly with BP. In quantitative real-time PCR analyses, PB significantly reduced the expression of both lipogenic (FASN, MVD) and hypoxia-related (CA9, TGFBI) genes versus control. These results suggest that numerous mechanisms at the levels of gene expression, protein expression, and protein phosphorylation may explain the improved clinical activity of PB over BP in patients with RAS WT mCRC.

Indexed as

AnimalsAntibodies, MonoclonalAntineoplastic AgentsBevacizumabBiomarkersCell Line, TumorColorectal NeoplasmsDisease Models, AnimalErbB ReceptorsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansHypoxiaMicePanitumumabPhosphorylationAntibodies, MonoclonalAntineoplastic AgentsBevacizumabBiomarkersErbB ReceptorsPanitumumabProteomeReceptor, EphA2

Identifiers

PMID29802988
PMCPMC6030230
OpenAlexW2803759145

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.