Journal of Pathology and Translational Medicine

Original Articles

Correlation of TTF-1 immunoexpression and EGFR mutation spectrum in non–small cell lung carcinoma: Tripti Nakra, Varsha Singh, Aruna Nambirajan, Prabhat Singh Malik, Anant Mohan, Deepali Jain; J Pathol Transl Med. 2021;55(4):279-288. Published online July 8, 2021; DOI: https://doi.org/10.4132/jptm.2021.05.10

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Background
Thyroid transcription factor (TTF-1) is a diagnostic marker expressed in 75%–85% of primary lung adenocarcinomas (ACs). Activating mutations in the tyrosine kinase domain of the epidermal growth factor receptor (EGFR) gene is the most common targetable driver alteration in lung AC. Previous studies have shown a positive correlation between TTF-1 and EGFR mutation status. We aimed to determine the predictive value of TTF-1 immunoexpression for underlying EGFR mutation status in a large Indian cohort.
Methods
This retrospective designed study was conducted with medical record data from 2011 to 2020. All cases of primary lung AC and non–small cell lung carcinoma not otherwise specified (NSCLC, NOS) with known TTF-1 expression diagnosed by immunohistochemistry using 8G7G3/1 antibodies and EGFR mutation status diagnosed by quantitative polymerase chain reaction were retrieved, reviewed, and the
results
were analyzed. Results: Among 909 patient samples diagnosed as lung AC and NSCLC, NOS, TTF-1 was positive in 76.8% cases (698/909) and EGFR mutations were detected in 29.6% (269/909). A strong positive correlation was present between TTF-1 positivity and EGFR mutation status (odds ratio, 3.61; p < .001), with TTF-1 positivity showing high sensitivity (90%) and negative predictive value (87%) for EGFR mutation. TTF-1 immunoexpression did not show significant correlation with uncommon/dual EGFR mutations (odds ratio, 1.69; p = .098). EGFR–tyrosine kinase inhibitor therapy was significantly superior to chemotherapy among EGFR mutant cases irrespective of TTF-1 status; however, no significant differences among survival outcomes were observed.
Conclusions
Our study confirms a strong positive correlation between TTF-1 expression and common EGFR mutations (exon 19 deletion and exon 21 L858R) in advanced lung AC with significantly high negative predictive value of TTF-1 for EGFR mutations.

Citations

Citations to this article as recorded by

Mutation profile and programmed death ligand 1 status of patients with non‐small cell lung cancer diagnosed with “adenocarcinoma” and “non‐small cell carcinoma favor adenocarcinoma”
Naoko Shigeta, Tomoyuki Yokose, Shuji Murakami, Tetsuya Isaka, Kanako Shinada, Emi Yoshioka, Atsuya Narita, Kengo Katakura, Tetsuro Kondo, Terufumi Kato, Takuya Nagashima, Haruhiro Saito, Hiroyuki Ito
Thoracic Cancer.2024; 15(6): 458. CrossRef
Significance of NKX2-1 as a biomarker for clinical prognosis, immune infiltration, and drug therapy in lung squamous cell carcinoma
Huiyue Lin, Juyong Wang, Qing Shi, Minmin Wu
PeerJ.2024; 12: e17338. CrossRef
TTF-1 is a highly sensitive but not fully specific marker for pulmonary and thyroidal cancer: a tissue microarray study evaluating more than 17,000 tumors from 152 different tumor entities
Katharina Möller, Tayyaba Gulzar, Maximilian Lennartz, Florian Viehweger, Martina Kluth, Claudia Hube-Magg, Christian Bernreuther, Ahmed Abdulwahab Bawahab, Ronald Simon, Till S. Clauditz, Guido Sauter, Ria Schlichter, Andrea Hinsch, Simon Kind, Frank Jac
Virchows Archiv.2024; 485(5): 815. CrossRef
Identifying immunohistochemical biomarkers panel for non-small cell lung cancer in optimizing treatment and forecasting efficacy
Xiaoya Zhang, Junhong Meng, Mingyue Gao, Cheng Gong, Cong Peng, Duxian Liu
BMC Cancer.2024;[Epub] CrossRef
Expression landscapes in non-small cell lung cancer shaped by the thyroid transcription factor 1
Herdee Gloriane C. Luna, Marcelo Severino Imasa, Necy Juat, Katherine V. Hernandez, Treah May Sayo, Gloria Cristal-Luna, Sheena Marie Asur-Galang, Mirasol Bellengan, Kent John Duga, Bien Brian Buenaobra, Marvin I. De los Santos, Daniel Medina, Jamirah Sam
Lung Cancer.2023; 176: 121. CrossRef
Malignant pleural effusion cell blocks are reliable resources for PD-L1 analysis in advanced lung adenocarcinomas: a concordance study with matched histologic samples
Swati Mahajan, Aruna Nambirajan, Ishan Gupta, Nalini Gupta, Parikshaa Gupta, Deepali Jain
Journal of the American Society of Cytopathology.2022; 11(5): 253. CrossRef
Clinicopathologic Features and Molecular Biomarkers as Predictors of Epidermal Growth Factor Receptor Gene Mutation in Non-Small Cell Lung Cancer Patients
Lanlan Liu, Xianzhi Xiong
Current Oncology.2021; 29(1): 77. CrossRef

Endobronchial Smooth Muscle Tumors: A Series of Five Cases Highlighting Pitfalls in Diagnosis: Tripti Nakra, Aanchal Kakkar, Shipra Agarwal, Karan Madan, Suresh C Sharma, Deepali Jain; J Pathol Transl Med. 2018;52(4):219-225. Published online July 11, 2018; DOI: https://doi.org/10.4132/jptm.2018.05.16

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Abstract PDF

Background
Primary endobronchial smooth muscle tumors (SMTs), which are extremely rare, include endobronchial leiomyomas and leiomyosarcomas. Clinically, SMTs present with signs and symptoms of bronchial obstruction, and lack specific radiological findings. Thus, histopathological examination is required for accurate diagnosis as well as for tumor grading. We examined the histomorphological and immunohistochemical features of endobronchial SMTs and highlighted pitfalls in diagnosis, particularly when using small biopsies.
Methods
Cases of primary endobronchial SMTs diagnosed at our Institute over the last 6 years (2012–2017) were retrieved from the departmental archives. Histopathological features and immunohistochemistry performed for establishing the diagnosis were reviewed.
Results
Five cases of SMTs occurring in endobronchial locations were identified. These included three cases of leiomyoma, and two cases of leiomyosarcoma. The age distribution of patients ranged from 13 to 65 years. Leiomyomas showed more consistent staining with smooth muscle markers (smooth muscle actin, desmin, and smooth muscle myosin heavy chain), while tumors of higher grade showed variable, focal staining, leading to erroneous diagnosis, especially on small biopsies.
Conclusions
The diagnosis of endobronchial SMTs relies on histopathological examination, for both confirmation of smooth muscle lineage and determination of the malignant potential of the lesion. Appropriate immunohistochemical panels including more than one marker of smooth muscle differentiation are extremely valuable for differential diagnosis from morphological mimics, which is necessary for instituting appropriate management.

Citations

Citations to this article as recorded by

Case report: Successful bronchoscopic interventional treatment of endobronchial leiomyomas
Yinfeng Wang, Yixiang Zhang, Ruirui Tong
Open Life Sciences.2024;[Epub] CrossRef
Pediatric endobronchial tumors with a mimicker: A case series
Kulwiwat Promsawasdi, Teerasak Phewplung
Pediatric Pulmonology.2024; 59(10): 2669. CrossRef
Smooth Muscle Conditions of the Chest
Matthew R. McCann, Lucas R. Massoth, Carlos A. Rojas, Yin P. Hung, John P. Lichtenberger, Gerald F. Abbott, Justin T. Stowell
Journal of Thoracic Imaging.2021; 36(5): 263. CrossRef
A Well-Defined Endobronchial Tumor in a 26-Year-Old Man
Christina Triantafyllidou, Petros Effraimidis, Mirjam Schimanke, Simone Ignatova, Anders Ringman, Susann Skoog, Farkas Vánky, Miklós Boros, Karin Cederquist
Chest.2021; 159(5): e313. CrossRef
Primary Pulmonary Leiomyoma
Mohammad Abu-Hishmeh, Gowthami Kobbari, Fouzia Shakil, Oleg Epelbaum
Journal of Bronchology & Interventional Pulmonology.2020; 27(4): e54. CrossRef

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