Evidence map›Paper›PMID 27153549›Full record

ArticleOncotarget2016

Predictive value of APAF-1 and COX-2 expression in pathologic complete response to neoadjuvant chemoradiotherapy for patients with locally advanced rectal adenocarcinoma.

Haihua Peng, Kaiyun You, Rong Zhang, Shaoyan Xi, Tian Zhang, Jun Dong, Muyan Cai, Chengtao Wang, Huizhong Zhang, Tongchong Zhou and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. 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
1.6field-weighted citation impact, top 17% 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, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. CoA Synthase (Cancer research · 2020
    Article
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  8. Review
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 5 institutions in 1 country.

Haihua PengDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Kaiyun YouDepartment of Radiation Oncology, SunYat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Guangzhou 510060, China.
Rong ZhangDepartment of Endoscopy and Laser, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Shaoyan XiDepartment of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Tian ZhangDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Jun DongDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Muyan CaiDepartment of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Chengtao WangDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Huizhong ZhangDepartment of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Tongchong ZhouDepartment of Radiation Oncology, Cancer Center of Guangzhou Medical University, Guangzhou 510075, China.
Yuanhong GaoDepartment of Radiation Oncology, SunYat-Sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Guangzhou 510060, China.
Bixiu WenDepartment of Radiation Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNState Key Laboratory of Oncology in South ChinaGuangzhou Medical University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate predictive value of APAF-1 and COX-2 expression in pathologic complete response (pCR) for patients with rectal adenocarcinoma (RAC) who were treated with neoadjuvant chemoradiotherapy (neo-CRT) followed by total mesorectal excision (TME). MATERIALS AND

methodsImmunohistochemistry assay was used to detect expression of APAF-1 and COX-2 in paraffin-wax embedded tissues obtained before neo-CRT for patients with RAC. A 5-point tumor-regression grade (TRG) based on the ratio of residual tumor to fibrosis according to Dworak's scoring system was used to assess neo-CRT response. The relationship between expression of APAF-1 and COX-2 genes and pCR was explored.

resultspCR (TRG4) was observed in 23 patients (28.0%). pCR were more likely to be achieved for those with APAF-1 over-expression or lower expression of COX-2. pCR rate in patients with combination of high APAF-1 and low COX-2 expression was 56.0%, significantly higher than those with other combination of APAF1 and COX-2 expression. Multivariate analysis showed that over-expression of APAF-1 and suppressed expression of COX-2 were independent predictive factors for pCR.

conclusionImmunohistochemical evaluation of APAF-1 and COX-2 expression on pretreatment specimen may be used to predict pCR to neo-CRT in patients with RAC. The potential of the markers in monitoring pCR patient merits further investigation.

Indexed as

AdenocarcinomaAdolescentAdultAgedApoptotic Protease-Activating Factor 1Biomarkers, TumorChemotherapy, AdjuvantCyclooxygenase 2FemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoadjuvant TherapyPredictive Value of TestsRectal NeoplasmsAPAF1 protein, humanApoptotic Protease-Activating Factor 1Biomarkers, TumorCyclooxygenase 2PTGS2 protein, humanAPAF-1complete pathological responseCOX-2neoadjuvant chemoradiotherapyrectal adenocarcinoma

Identifiers

PMID27153549
PMCPMC5085224
OpenAlexW2346521476

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Registered trials

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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.