Evidence map›Paper›PMID 17449943›Full record

ArticleJournal of Korean medical science2007

Immunohistochemical analysis of non-small cell lung cancer: correlation with clinical parameters and prognosis.

Jinyoung Yoo, Ji Han Jung, Myung A Lee, Kyung Jin Seo, Byoung Yong Shim, Sung Hwan Kim, Deog Gon Cho, Myeong Im Ahn, Chi Hong Kim, Kyu Do Cho and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of Korean medical science, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
4.2field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 5 syntheses or guidelines pooled it, 48 citations in OpenAlex.

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  10. Classification of malignant and benign tumors of the lung by infrared spectral histopathology (SHP).Laboratory investigation; a journal of technical methods and pathology · 2015
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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

12 authors at 2 institutions in 1 country.

Jinyoung YooDepartment of Pathology, St.Vincent's Hospital, The Catholic University of Korea, 93 Ji-dong, Paldal-gu, Suwon, Korea.
Ji Han Jung
Myung A Lee
Kyung Jin Seo
Byoung Yong Shim
Sung Hwan Kim
Deog Gon Cho
Myeong Im Ahn
Chi Hong Kim
Kyu Do Cho
Seok Jin Kang
Hoon Kyo Kim
Catholic University of Korea · KRSt. Vincent's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancers (NSCLC) vary in their biologic behavior. Recurrence and tumor-related mortality may be attributable to molecular abnormalities in primary tumors. This study evaluated such immunophenotypes with regard to cell cycle regulation and proliferation, apoptosis, and angiogenesis, to determine their significance for patient outcome. Core biopsies from 219 patients with NSCLC were assembled on tissue microarrays, and the expressions of p16, p21, p27, cyclin B1, cyclin E, Ki-67, caspase-3, survivin, bcl-2, VEGF, and endostatin were evaluated by immunohistochemistry. Despite previously described prognostic relevance of some of the investigated molecules, many of those markers were not directly associated with recurrence or survival. However, there was a trend for p16 immunoreactivity to be associated with a good prognosis (57% vs. 42% in 5-yr survival) (p=0.071). bcl-2 expression was strongly correlated with a better outcome (65% vs. 45% in 5-yr survival) (p=0.029), and the hazard of death for bcl-2 positive patients was 0.42 times of that for bcl-2 negative patients (p=0.047). A multivariate analysis with Cox proportional hazards model confirmed that the lymph node status (p=0.043) and stage (p=0.003) were other independent prognostic factors. Our results suggest that p16 and bcl-2 provide prognostic information independent of the TNM stage in NSCLC.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHumansKoreaLung NeoplasmsMaleNeoplasm ProteinsOutcome Assessment, Health CarePrognosisReproducibility of ResultsSensitivity and SpecificityStatistics as TopicSurvival AnalysisSurvival RateBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID17449943
PMCPMC2693601
OpenAlexW2020447985

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.