Relation of fine structure to prognosis for papillary adenocarcinoma of the lung

Horie, Akio; Kotoo, Yasunori; Ohta, Mitsuo; Kurita, Yukio

doi:10.1016/s0046-8177(84)80149-5

Cited by 17 publications

(3 citation statements)

References 11 publications

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“…[22][23][24] In the case of lung adenocarcinoma, several studies have described tubular-type nuclear inclusion and its relation to the inner nuclear membrane. 3,4,7,11 Conversely, to our knowledge amorphous-type nuclear inclusion in lung adenocarcinoma previously was reported in only one study. 4 In the current study, it occasionally was bounded by an inner nuclear membrane-like single membrane.…”

Section: Discussionmentioning

confidence: 74%

“…[7][8][9] Tumor differentiation grade is a prognostic factor of many carcinomas, including pulmonary adenocarcinoma, 10 and if ANI is found to indicate some functional differentiation of tumor cells, the frequency of ANIs, as well as tumor differentiation grade, may have prognostic significance. Some studies have reported that the incidence of ANIs was higher in well differentiated adenocarcinoma 4,6 and one study suggested that papillary adenocarcinoma with ANIs may have a more favorable prognosis based on anecdotal observations of only a small number of cases; 11 however, statistically significant prognostic findings were not shown.…”

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confidence: 99%

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Prognostic significance of frequent acidophilic nuclear inclusions in adenocarcinoma of the lung with immunohistochemical and ultrastructural studies

Aida

Shimazaki

Sato

et al. 2001

Cancer

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Section: Discussionmentioning

confidence: 74%

mentioning

confidence: 99%

Prognostic significance of frequent acidophilic nuclear inclusions in adenocarcinoma of the lung with immunohistochemical and ultrastructural studies

Aida

Shimazaki

Sato

et al. 2001

Cancer

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“…In particular, primary lung papillary adenocarcinoma (LPADC) is a rare subtype, accounting for approximately 0.84% of all lung cancer cases 7 . This subtype may originate from glandular follicular cells and often exhibits a prominent inflammatory stromal response 8 . In the early stages of LPADC, patients do not develop clinical symptoms (e.g., cough, phlegm, and fever), and are not effective in antibiotic treatment for pneumonia.…”

Section: Introductionmentioning

confidence: 99%

Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models

Xia,

Chen,

Jin

et al. 2023

Sci Rep

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Accurate prognostic prediction is crucial for treatment decision-making in lung papillary adenocarcinoma (LPADC). The aim of this study was to predict cancer-specific survival in LPADC using ensemble machine learning and classical Cox regression models. Moreover, models were evaluated to provide recommendations based on quantitative data for personalized treatment of LPADC. Data of patients diagnosed with LPADC (2004–2018) were extracted from the Surveillance, Epidemiology, and End Results database. The set of samples was randomly divided into the training and validation sets at a ratio of 7:3. Three ensemble models were selected, namely gradient boosting survival (GBS), random survival forest (RSF), and extra survival trees (EST). In addition, Cox proportional hazards (CoxPH) regression was used to construct the prognostic models. The Harrell’s concordance index (C-index), integrated Brier score (IBS), and area under the time-dependent receiver operating characteristic curve (time-dependent AUC) were used to evaluate the performance of the predictive models. A user-friendly web access panel was provided to easily evaluate the model for the prediction of survival and treatment recommendations. A total of 3615 patients were randomly divided into the training and validation cohorts (n = 2530 and 1085, respectively). The extra survival trees, RSF, GBS, and CoxPH models showed good discriminative ability and calibration in both the training and validation cohorts (mean of time-dependent AUC: > 0.84 and > 0.82; C-index: > 0.79 and > 0.77; IBS: < 0.16 and < 0.17, respectively). The RSF and GBS models were more consistent than the CoxPH model in predicting long-term survival. We implemented the developed models as web applications for deployment into clinical practice (accessible through https://shinyshine-820-lpaprediction-model-z3ubbu.streamlit.app/). All four prognostic models showed good discriminative ability and calibration. The RSF and GBS models exhibited the highest effectiveness among all models in predicting the long-term cancer-specific survival of patients with LPADC. This approach may facilitate the development of personalized treatment plans and prediction of prognosis for LPADC.

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The pathobiologic features of carcinomas of type II pneumocytes. An immunocytologic study

Singh

Scheithauer

Katyal

1986

Cancer

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Adenocarcinomas of the lung without squamous differentiation or obvious mucus production from 51 patients were studied. Twenty-eight tumors (55%), when stained with rabbit anti-human surfactant apoprotein antiserum by the peroxidase-antiperoxidase method, demonstrated characteristic nuclear inclusions. Most of these tumors could be identified histochemically by the presence of eosinophilic, periodic acid-Schiff (PAS)-positive nuclear inclusions. In patients with apoprotein-immunoreactive tumors there were nine deaths due to tumor (32%) within 5 years of diagnosis. Eight of the nine deaths occurred in patients whose tumors exceeded 3 cm in diameter; an equal number of patients were smokers. The average age of patients with apoprotein-positive tumors was 67.3 years, a figure greater than that for patients with apoprotein-negative tumors (61.4 years). Five of the 23 patients with apoprotein-negative tumors died of their neoplasms; in two of the subjects the tumors exceeded 3 cm in diameter. In that no significant difference in survival was observed in patients with apoprotein-positive and apoprotein-negative tumors, it was concluded that subclassification of adenocarcinomas of the lung as apoprotein-positive, i.e., type II pneumocytic, or as apoprotein-negative, is of no clinical or prognostic significance. Nonetheless, peripheral tumors measuring less than 3 cm in size and showing neither squamous differentiation nor obvious mucus production should be recognized as a prognostically favorable group in comparison with other types of lung carcinomas.

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Relation of fine structure to prognosis for papillary adenocarcinoma of the lung

Cited by 17 publications

References 11 publications

Prognostic significance of frequent acidophilic nuclear inclusions in adenocarcinoma of the lung with immunohistochemical and ultrastructural studies

Prognostic significance of frequent acidophilic nuclear inclusions in adenocarcinoma of the lung with immunohistochemical and ultrastructural studies

Prediction of lung papillary adenocarcinoma-specific survival using ensemble machine learning models

The pathobiologic features of carcinomas of type II pneumocytes. An immunocytologic study

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