Immunomodulation of carcinogens-induced steroids-dependent human diseases.

Andrew N Glushkov, Elena G Polenok

Open access · hybridAbstract readReview

In one paragraph

Review in Saudi journal of biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Andrew N GlushkovInstitute of Human Ecology, Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, Kemerovo 650065, Russian Federation.

Elena G PolenokInstitute of Human Ecology, Federal Research Center of Coal and Coal Chemistry of Siberian Branch of the Russian Academy of Sciences, Kemerovo 650065, Russian Federation.

Institute of Coal of the Siberian Branch of the RAS · RUSiberian Branch of the Russian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The experimental and clinical data about antibodies against environmental chemical carcinogens and endogenous steroids are represented. The conception of immunomodulation of carcinogens- and steroids-dependent human diseases is proposed. It is postulated that antibodies to polycyclic aromatic hydrocarbons and heterocyclic amines in cooperation with antibodies to cholesterol, sex hormones, mineralo- and glucocorticoids stimulate or inhibit cancer, malformation, cardiovascular and autoimmune diseases depending on their personal combination. It is recommended to use immunoassay of these antibodies for the human diseases prediction. The alternative approaches for prevention using the probiotics transformed by anti-carcinogen antibodies are substantiated.

Indexed as

Abs, antibodiesAntibody formationBC, breast cancerBCP, breast cancer patientsBenzo[a]pyreneBp, benzo[a]pyrenecAhR, cytoplasmicCg, chemical carcinogensCholesterolCYP, cytochrome P-450ER, estrogen receptorsER−, estrogen receptors negativeER+, estrogen receptors positiveEs, estradiolEstradiolHW, healthy womenLC, lung cancerLCP, lung cancer patientsmAhR, membrane aril hydrocarbon receptorsMW, women with malformationPAH, polycyclic aromatic hydrocarbonsPE, phytoestrogensPg, progesteronePredictionPreventionProgesteronePR, progesterone receptorsPR−, progesterone receptors negativePR+, progesterone receptors positiveS, steroids

Identifiers

PMID31485161

DOI10.1016/j.sjbs.2017.09.014

PMCPMC6717089

OpenAlexW2762841056

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.