Evidence map›Paper›PMID 26604782›Full record

ArticleOncoTargets and therapy2015

A high LDL-C to HDL-C ratio predicts poor prognosis for initially metastatic colorectal cancer patients with elevations in LDL-C.

Fangxin Liao, Wenzhuo He, Chang Jiang, Chenxi Yin, Guifang Guo, Xuxian Chen, Huijuan Qiu, Yuming Rong, Bei Zhang, Dazhi Xu and 1 more

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Fangxin LiaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Wenzhuo HeState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Chang JiangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Chenxi YinState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Guifang GuoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Xuxian ChenState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Huijuan QiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Yuming RongState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Bei ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Dazhi XuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; Gastric and Pancreatic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Liangping XiaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China ; VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNState Key Laboratory of Oncology in South China

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although lipid disequilibrium has been documented for several types of cancer including colorectal cancer (CRC), it remains unknown whether lipid parameters are associated with the outcome of metastatic CRC (mCRC) patients. Here, we retrospectively examined the lipid profiles of 453 mCRC patients and investigated whether any of the lipid parameters correlated with the outcome of mCRC patients. Pretreatment serum lipids, including triglyceride, cholesterol, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were collected in 453 initially mCRC patients. The LDL-C to HDL-C ratio (LHR) was calculated and divided into the first, second, and third tertiles. Univariate and multivariate analyses were performed to evaluate the impact of lipids on overall survival (OS) and progression-free survival (PFS). Nearly two-fifths of the patients (41.3%) exhibited elevations in LDL-C while most patients (88.3%) showed normal HDL-C levels. Decreased HDL-C (P=0.542) and increased LDL-C (P=0.023) were prognostic factors for poor OS, while triglyceride (P=0.542) and cholesterol (P=0.215) were not. Multivariate analysis revealed that LDL-C (P=0.031) was an independent prognostic factor. Triglyceride, cholesterol, HDL-C, and LDL-C did not correlate with PFS. Among patients with elevations in LDL-C levels, patients in the third tertile of the LHR had a markedly shorter median OS compared to those in the first or second tertile (P=0.012). Thus, increased LDL-C level is an independent prognostic factor for poor prognosis in mCRC patients, and a high LHR predicts poor prognosis for initially mCRC patients with elevations in LDL-C.

Indexed as

high-density lipoprotein cholesterolhigh low-density lipoprotein cholesterolmetastatic colorectal cancer

Identifiers

PMID26604782
PMCPMC4629979
OpenAlexW1849799796

What OpenQuestion holds

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LicenceCC BY-NC
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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.