Evidence map›Paper›PMID 25477184›Full record

ArticleJournal of ovarian research2014

Kallikrein family proteases KLK6 and KLK7 are potential early detection and diagnostic biomarkers for serous and papillary serous ovarian cancer subtypes.

Ayala Tamir, Ushma Jag, Sreeja Sarojini, Craig Schindewolf, Takemi Tanaka, Rajendra Gharbaran, Hiren Patel, Anil Sood, Wei Hu, Ruzeen Patwa and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 42 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

17 authors at 4 institutions in 1 country.

Ayala TamirThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. ATamir@HackensackUMC.org.
Ushma JagThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. Ujag@humed.com.
Sreeja SarojiniThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. SSarojini@HackensackUMC.org.
Craig SchindewolfThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. CSchindewolf@HackensackUMC.org.
Takemi TanakaThomas Jefferson University, Philadelphia, PA, 19107, USA. takemi.tanaka@ouhsc.edu.
Rajendra GharbaranThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. RGharbaran@HackensackUMC.org.
Hiren PatelThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. HPatel@humed.com.
Anil SoodDepartments of Gynecologic Oncology and Cancer Biology, MD Anderson Cancer Center, University of Texas, Houston, TX, 77030, USA. asood@mdanderson.org.
Wei HuDepartments of Gynecologic Oncology and Cancer Biology, MD Anderson Cancer Center, University of Texas, Houston, TX, 77030, USA. whu@mdanderson.org.
Ruzeen PatwaThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. RPatwa@humed.com.
Patrick BlakeSophic Systems Alliance, Inc, Rockville, MD, 20850, USA. pat@sophicalliance.com.
Polina ChirinaThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. Pchirina@HackensackUMC.org.
Jin Oh JeongThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. pokey0099@gmail.com.
Heejin LimThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. Heejinlim223@gmail.com.
Andre GoyThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. AGoy@HackensackUMC.org.
Andrew PecoraThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. APecora@HackensackUMC.org.
K Stephen SuhThe Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA. KSuh@HackensackUMC.org.
Hackensack University Medical Center · USThe University of Texas MD Anderson Cancer Center · USDigital Research Alliance of CanadaThomas Jefferson University · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

backgroundEarly detection of ovarian cancer remains a challenge due to widespread metastases and a lack of biomarkers for early-stage disease. This study was conducted to identify relevant biomarkers for both laparoscopic and serum diagnostics in ovarian cancer.

methodsBioinformatics analysis and expression screening in ovarian cancer cell lines were employed. Selected biomarkers were further validated in bio-specimens of diverse cancer types and ovarian cancer subtypes. For non-invasive detection, biomarker proteins were evaluated in serum samples from ovarian cancer patients.

resultsTwo kallikrein (KLK) serine protease family members (KLK6 and KLK7) were found to be significantly overexpressed relative to normal controls in most of the ovarian cancer cell lines examined. Overexpression of KLK6 and KLK7 mRNA was specific to ovarian cancer, in particular to serous and papillary serous subtypes. In situ hybridization and histopathology further confirmed significantly elevated levels of KLK6 and KLK7 mRNA and proteins in tissue epithelium and a lack of expression in neighboring stroma. Lastly, KLK6 and KLK7 protein levels were significantly elevated in serum samples from serous and papillary serous subtypes in the early stages of ovarian cancer, and therefore could potentially decrease the high "false negative" rates found in the same patients with the common ovarian cancer biomarkers human epididymis protein 4 (HE4) and cancer antigen 125 (CA-125).

conclusionKLK6 and KLK7 mRNA and protein overexpression is directly associated with early-stage ovarian tumors and can be measured in patient tissue and serum samples. Assays based on KLK6 and KLK7 expression may provide specific and sensitive information for early detection of ovarian cancer.

Indexed as

Adenocarcinoma, PapillaryBiomarkers, TumorCase-Control StudiesCell Line, TumorEarly Detection of CancerFemaleGene ExpressionHumansKallikreinsNeoplasms, Cystic, Mucinous, and SerousOvarian NeoplasmsBiomarkers, TumorKallikreinsKLK6 protein, humanKLK7 protein, human

Identifiers

PMID25477184
PMCPMC4271347
OpenAlexW2112259007

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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.