Evidence map›Paper›PMID 10023676›Full record

ArticleOncogene1999

Correlation between the status of the p53 gene and survival in patients with stage I non-small cell lung carcinoma.

Y Tomizawa, T Kohno, T Fujita, M Kiyama, R Saito, M Noguchi, Y Matsuno, S Hirohashi, N Yamaguchi, T Nakajima and 1 more

Abstract read
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In one paragraph

Article in Oncogene, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Role of DMP1 and its future in lung cancer diagnostics.Expert review of molecular diagnostics · 2008
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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.

Y TomizawaBiology Division, National Cancer Center Research Institute, Tokyo, Japan.
T Kohno
T Fujita
M Kiyama
R Saito
M Noguchi
Y Matsuno
S Hirohashi
N Yamaguchi
T Nakajima
J Yokota

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association of p53 abnormalities with the prognosis of patients with non-small cell lung carcinoma (NSCLC) has been extensively investigated to date, however, this association is still controversial. Therefore, we investigated the prognostic significance of p53 mutations through exons 2 to 11 and p53 protein expression in 103 cases of stage I NSCLC. p53 mutations were detected in 49 of 103 (48%) tumors. Two separate mutations were detected in four tumors giving a total of 53 unique mutations in 49 tumors. Ten (19%) of mutations occurred outside exons 5-8. Positive immunohistochemical staining of p53 protein was detected in 41 of 103 (40%) tumors. The concordance rate between mutations and protein overexpression was only 69%. p53 mutations, but not expression, were significantly associated with a shortened survival of patients (P<0.001). Furthermore, we investigated the correlation between the types of p53 mutations and prognosis. p53 missense mutations rather than null mutations were associated with poor prognosis (P < 0.001 in missense mutations and P=0.243 in null mutations). These results indicated that p53 mutations, in particular missense mutations, rather than p53 expression could be a useful molecular marker for the prognosis of patients with surgically resected stage I NSCLC.

Indexed as

Point MutationAllelesCarcinoma, Non-Small-Cell LungChromosomes, Human, Pair 17DNA Mutational AnalysisDNA, NeoplasmExonsGenes, p53Genetic MarkersHumansLung NeoplasmsNeoplasm StagingPrognosisTumor Suppressor Protein p53DNA, NeoplasmGenetic MarkersTumor Suppressor Protein p53

Identifiers

PMID10023676

What OpenQuestion holds

Texttitle and abstract
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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.