Evidence map›Paper›PMID 20124221›Full record

ArticleMolecular & cellular proteomics : MCP2010

Candidate serological biomarkers for cancer identified from the secretomes of 23 cancer cell lines and the human protein atlas.

Chih-Ching Wu, Chia-Wei Hsu, Chi-De Chen, Chia-Jung Yu, Kai-Ping Chang, Dar-In Tai, Hao-Ping Liu, Wen-Hui Su, Yu-Sun Chang, Jau-Song Yu

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 201 citations in OpenAlex.

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  5. A role for mutations inProceedings of the National Academy of Sciences of the United States of America · 2023
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28 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

10 authors at 2 institutions in 1 country.

Chih-Ching WuMolecular Medicine Research Center, Chang Gung University, Tao-Yuan 333, Taiwan.
Chia-Wei Hsu
Chi-De Chen
Chia-Jung Yu
Kai-Ping Chang
Dar-In Tai
Hao-Ping Liu
Wen-Hui Su
Yu-Sun Chang
Jau-Song Yu
Chang Gung Memorial Hospital · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although cancer cell secretome profiling is a promising strategy used to identify potential body fluid-accessible cancer biomarkers, questions remain regarding the depth to which the cancer cell secretome can be mined and the efficiency with which researchers can select useful candidates from the growing list of identified proteins. Therefore, we analyzed the secretomes of 23 human cancer cell lines derived from 11 cancer types using one-dimensional SDS-PAGE and nano-LC-MS/MS performed on an LTQ-Orbitrap mass spectrometer to generate a more comprehensive cancer cell secretome. A total of 31,180 proteins was detected, accounting for 4,584 non-redundant proteins, with an average of 1,300 proteins identified per cell line. Using protein secretion-predictive algorithms, 55.8% of the proteins appeared to be released or shed from cells. The identified proteins were selected as potential marker candidates according to three strategies: (i) proteins apparently secreted by one cancer type but not by others (cancer type-specific marker candidates), (ii) proteins released by most cancer cell lines (pan-cancer marker candidates), and (iii) proteins putatively linked to cancer-relevant pathways. We then examined protein expression profiles in the Human Protein Atlas to identify biomarker candidates that were simultaneously detected in the secretomes and highly expressed in cancer tissues. This analysis yielded 6-137 marker candidates selective for each tumor type and 94 potential pan-cancer markers. Among these, we selectively validated monocyte differentiation antigen CD14 (for liver cancer), stromal cell-derived factor 1 (for lung cancer), and cathepsin L1 and interferon-induced 17-kDa protein (for nasopharyngeal carcinoma) as potential serological cancer markers. In summary, the proteins identified from the secretomes of 23 cancer cell lines and the Human Protein Atlas represent a focused reservoir of potential cancer biomarkers.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorCathepsinsCell DifferentiationCell Line, TumorChemokine CXCL12Cluster AnalysisCytokinesElectrophoresis, Polyacrylamide GelFemaleHumansLipopolysaccharide ReceptorsMaleBiomarkers, TumorCathepsinsChemokine CXCL12CytokinesISG15 protein, humanLipopolysaccharide ReceptorsNeoplasm ProteinsUbiquitins

Identifiers

PMID20124221
PMCPMC2877973
OpenAlexW2096642770

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.