Evidence map›Paper›PMID 36712764›Full record

ArticleCureus2022

Accuracy of Classifying Lung Carcinoma Using Immunohistochemical Markers on Limited Biopsy Material: A Two-Center Study.

Amber Hassan, Shadi Alahmadi, Omer Waqas, Humaira Waseem, Amer Shafie Abdelrahman, Majid Almansouri, Nasser Mulla, Yousef Katib, Salwa I Bakhsh, Mohammed Basheikh and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

14 authors at 1 institution in 1 country.

Amber HassanTranslational Neuroscience Lab, CEINGE-Biotecnologie Avanzate, Naples, ITA.
Shadi AlahmadiDepartment of Anatomic Pathology, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU.
Omer WaqasDepartment of Pathology, Ittefaq Hospital (Trust), Lahore, PAK.
Humaira WaseemDepartment of Research/Biostatistics, Fatima Jinnah Medical University, Lahore, PAK.
Amer Shafie AbdelrahmanDepartment of Pathology, Faculty of Medicine in Rabigh, King Abdelaziz University, Rabigh, SAU.
Majid AlmansouriDepartment of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU.
Nasser MullaDepartment of Internal Medicine, Faculty of Medicine, Taibah University, Medina, SAU.
Yousef KatibDepartment of Radiation Oncology/Internal Medicine, Faculty of Medicine, Taibah University, Medina, SAU.
Salwa I BakhshDepartment of Pathology, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU.
Mohammed BasheikhDepartment of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU.
Samy A AbusikkienDepartment of Anatomy, Faculty of Medicine in Rabigh, King Abdulaziz University, Rabigh, SAU.
Mohamed Matoog KaramiDepartment of Physiology, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU.
Marwan Al-HajeiliDepartment of Oncology, Faculty of Medicine, King Abdulaziz University, Jeddah, SAU.
Samah S ElbasateenyDepartment of Pathology, Faculty of Medicine in Rabigh, King Abdulaziz University, Rabigh, SAU.
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Accurate classification of lung cancer into primary and metastatic carcinomas is critical for treatment approaches. Immunohistochemistry (IHC) has always been pivotal in unveiling the diverse cell differentiation lineages present in lung cancer by using specific biomarkers such as TTF1 and p63/p40, which closely reflect the relationship between genotype and phenotype.. Methods A retrospective cross-sectional study was conducted to evaluate 57 Tru-Cut biopsies over two years, from 2020-2022. Tumour morphology was evaluated, and IHC for TTF-1, Napsin A, CK-7, P-63, P-40, and CD-56 was performed in two steps. Results Of the lung cancer cases, 58.5% were adenocarcinoma (ADC), 24.5% were squamous cell carcinoma (SCC), 9.4% were small cell carcinoma, and 7.5% were poorly differentiated carcinoma. TTF1 stain had sensitivity and specificity of 78.9% and 50% in 33 cases of ADC, respectively, while CK7 and Napsin A had 100% sensitivity. P63 stain had 77% sensitivity and 50% specificity in 15 cases of SCC, while P-40 had 100% sensitivity. The CD56 stain was 100% sensitive in five cases of small cell carcinoma. Conclusion IHC staining on small lung biopsies allows accurate sub-classification of poorly differentiated lung cancers; however, there is still significant variability. Surgical resection specimens can be further classified due to architectural features that biopsies lack. Morphological findings would be beneficial in the development of an algorithm for sub-classifying lung carcinoma using a variety of markers.

Indexed as

adenocarcinomaimmunohistochemistrylcsensitivitysmall cell carcinomaspecificitysquamous cell carcinomatrucut biopsy

Identifiers

PMID36712764
PMCPMC9875635
OpenAlexW4312214997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.