Assessment of Relationship Between CT Features and Serum Tumor Marker Index in Early-stage Lung Adenocarcinoma

Solid tumors involving glandular organs express mucin glycoprotein that is eventually shed into the circulation. As a result, these proteins can easily be measured in the serum and be used as potential tumor markers. The most commonly used tumor markers for breast cancer are CA27-29 and CA15-3, which both measure the glycoprotein product of the mucin-1 (MUC1) gene. CA27-29 has been approved by the US Food and Drug Administration for monitoring disease activity in breast cancer patients. Most oncology clinical practice guidelines do not recommend the use of tumor markers for routine surveillance of early stage disease but recognize their utility in the metastatic setting. We present a patient with stage IIIA breast cancer and preexisting hypersensitivity pneumonitis who was found to have an elevated serum tumor marker CA27-29. After successful curative intent treatment of her early stage breast cancer, she developed gradual and progressive worsening of her lung disease with eventual development of severe pulmonary fibrosis requiring bilateral lung transplantation. As part of the pretransplant evaluation, she was found to have an elevation of serum tumor marker CA27-29. While the diagnostic evaluation, including imaging studies, was negative for the presence of recurrent disease, the serial serum tumor marker CA27-29 levels remained persistently elevated. The decision was made for her to undergo bilateral lung transplantation. Shortly after surgery, her CA27-29 tumor marker level returned to normal range, and it has continued to remain in the normal range with no evidence of breast cancer recurrence.

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Tumor volume and tumor marker index based on CYFRA 21-1 and CEA are strong prognostic factors in operated early stage NSCLC

Lung Cancer ◽

10.1016/j.lungcan.2007.10.026 ◽

2008 ◽

Vol 60 (3) ◽

pp. 408-415 ◽

Cited By ~ 21

Author(s):

Thomas Muley ◽

Timea-Helene Fetz ◽

Hendrik Dienemann ◽

Hans Hoffmann ◽

Felix J.F. Herth ◽

...

Keyword(s):

Prognostic Factors ◽

Tumor Marker ◽

Tumor Volume ◽

Early Stage ◽

Marker Index ◽

Early Stage Nsclc

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Consideration of the Optimal Surgical Procedure Based on the Risk of Recurrence in Clinical Stage 0 or IA Lung Adenocarcinoma

10.21203/rs.3.rs-330128/v1 ◽

2021 ◽

Author(s):

Tomoyoshi Takenaka ◽

Tetsuzo Tagawa ◽

Naoki Hartake ◽

Fumihiko Kinoshita ◽

Yuki Ono ◽

...

Keyword(s):

Lung Adenocarcinoma ◽

Solid Tumors ◽

Surgical Procedures ◽

Early Stage ◽

Tnm Classification ◽

Wedge Resection ◽

Clinical Stage ◽

Sublobar Resection ◽

8Th Edition ◽

Ct Features

Abstract Background Although sublobar resection is widely performed for early-stage non-small cell lung cancer, what kind of patients should be actively indicated for sublobar resection has not yet been established according to 8th edition of tumor node metastasis classification (TNM). We evaluated the computed tomography (CT) features and optimal surgical procedures of clinical stage 0 or IA adenocarcinoma from the perspective of recurrence. Methods We retrospectively investigated 508 lung adenocarcinoma diagnosed as c-stage 0 or IA in the 8th edition of TNM classification. A survival analysis was performed according to the clinical T descriptor, CT features and surgical procedures. Results The tumors were classified as follows: 74 with pure ground glass opacity (GGO), 237 part-solid tumors and 197 solid tumors. The types of surgical procedures were lobectomy (n = 328), segmentectomy (n = 73) and wedge resection (n = 107). Clinical T descriptors were cTis in 74 patients, cT1mi in 68 patients, cT1a in 94 patients, cT1b in 181 patients and cT1c in 91 patients. Recurrence was observed 46 cases (9%), including 3 (3.1%) with cT1a, 23 (12.7%) with cT1b and 20 (22.0%) with cT1c. No recurrence was observed in cTis or cT1mi cases. Solid tumors with cT1b recurred more often than part-solid tumors among cT1b cases (6.8% vs. 16.8%) (p = 0.046). There were no marked differences in the recurrence rate between part-solid and solid tumors in the cT1a and cT1c groups. The patients who received sublobar resection developed recurrence more often than the patients who received lobectomy among cT1b cases (10.1% vs. 21.4%) and cT1c cases (18.0% vs. 46.2%) (p = 0.053 and p = 0.023). Conclusions Pure GGO and cT1mi cases should be actively considered for sublobar resection, while cT1b (especially solid cT1b cases) and cT1c cases should be considered for lobectomy to prevent recurrence.

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Predictive Value of Preoperative Serum Tumor Marker Levels for Pathological Characteristics of Resected Lung Adenocarcinoma

CHEST Journal ◽

10.1016/j.chest.2016.08.794 ◽

2016 ◽

Vol 150 (4) ◽

pp. 699A

Author(s):

Terumoto Koike ◽

Akihiko Kitahara ◽

Seijiro Sato ◽

Takehisa Hashimoto ◽

Shin-ichi Toyabe ◽

...

Keyword(s):

Lung Adenocarcinoma ◽

Tumor Marker ◽

Predictive Value ◽

Serum Tumor Marker ◽

Pathological Characteristics ◽

Preoperative Serum

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Correlations Between Staging and Chemotheraphy Response with Testicular Carcinoma Non-Seminoma at Dr. Soetomo Hospital, Surabaya, Indonesia

Folia Medica Indonesiana ◽

10.20473/fmi.v56i3.22164 ◽

2020 ◽

Vol 56 (3) ◽

pp. 178

Author(s):

Achmad Nugroho ◽

Johan Renaldo ◽

Wahjoe Djatisoesanto

Keyword(s):

Side Effects ◽

Tumor Marker ◽

Complete Blood Count ◽

Early Stage ◽

Tumor Staging ◽

Serum Levels ◽

Chemotherapy Response ◽

Serum Tumor Marker ◽

Regional Lymph Nodes ◽

Response To Chemotherapy

The purpose of this study was to describe patients’ characteristics, correlation between staging non-seminoma cancer and chemotherapy response. Data on age, location of tumor, staging, serum levels of the tumor marker post operative, adjuvant therapy, chemotherapy side effects, and response of patient to chemotherapy were gained from medical records in Soetomo Hospital Surabaya from January 2012 to December 2015, and analyzed with SPSS. Correlation between staging and chemotherapy response, correlation primary tumor staging (pT) and Metastasis (M), correlation regional lymph nodes staging (N) and metastasis (M), correlation serum tumor marker and chemotherapy response was proccessed by Spearman correlation test. There were no significant correlation between pT staging and M and no significant correlation between N and M staging. Based on tumor markers (S), mostly patients were S2. There were no significant correlation between the response to chemotherapy and serum tumor marker levels. In category of staging group, the most are 14 patients stage III. BEP was the most adjuvant Chemotherapy. Nausea and vomiting were The most complained during chemotherapy. Anemia were the most hematologic side effects of chemotherapy. There are no significant correlation between the staging of non-seminoma and the response to chemotherapy. Conclusion: Non seminoma mostly happened in young males. Non-seminoma responses to chemotherapy. Patients in early stage would give a good response to chemotherapy compared to those with advanced stage. After chemotherapy, evaluation should be done to the patients' complaints and complete blood count to detect side effects.

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Correlations Between Staging and Chemotheraphy Response with Testicular Carcinoma Non-Seminoma at Dr. Soetomo Hospital, Surabaya, Indonesia

Folia Medica Indonesiana ◽

10.20473/fmi.v56i3.24536 ◽

2021 ◽

Vol 56 (3) ◽

pp. 178

Author(s):

Ahmad Nugroho ◽

Johan Renaldo ◽

Wahjoe Djatisoesanto

Keyword(s):

Side Effects ◽

Tumor Marker ◽

Complete Blood Count ◽

Early Stage ◽

Tumor Staging ◽

Serum Levels ◽

Chemotherapy Response ◽

Serum Tumor Marker ◽

Regional Lymph Nodes ◽

Response To Chemotherapy

The purpose of this study to describe patientscharacteristics, correlation between stagingnon-seminomacancer and chemotherapyresponse. Data on age, location of tumor, staging, serum levels of the tumor marker post operative, adjuvant therapy, chemotherapy side effects, and response of patient to chemotherapy were gained from medical records inSoetomo Hospital Surabaya from January 2012 to December 2015, and analyzed with SPSS. Correlation between staging and chemotherapyresponse, correlation primary tumor staging (pT) and Metastasis (M), correlation regional lymph nodes staging (N) and metastasis (M), correlation serum tumor marker and chemotherapy response was proccessed by Spearman correlation test. There were no significant correlation between pT staging and M and no significant correlation between N and M staging. Based on tumor markers (S), mostly patients were S2. There were no significant correlation between the response to chemotherapy and serum tumor marker levels. In category of staging group, the mostare 14 patientsstage III. BEP was the most adjuvant Chemotherapy.Nausea and vomiting were The most complained during chemotherapy. Anemia were the most hematologic side effects of chemotherapy.There are no significant correlation between the staging of non-seminoma and the response to chemotherapy. Conclusion: Non seminoma mostly happened in young males. Non-seminoma responses to chemotherapy. Patients in early stage would give a good response to chemotherapy compared to those with advanced stage. After chemotherapy, evaluation should be done to the patients' complaints and complete blood count to detect side effects.

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Relationship between CT features and high preoperative serum carcinoembryonic antigen levels in early-stage lung adenocarcinoma

Clinical Radiology ◽

10.1016/j.crad.2013.12.009 ◽

2014 ◽

Vol 69 (6) ◽

pp. 559-566 ◽

Cited By ~ 7

Author(s):

M. Yamazaki ◽

H. Ishikawa ◽

R. Kunii ◽

A. Tasaki ◽

S. Sato ◽

...

Keyword(s):

Lung Adenocarcinoma ◽

Carcinoembryonic Antigen ◽

Early Stage ◽

Preoperative Serum ◽

Serum Carcinoembryonic Antigen ◽

Ct Features

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Early‐stage lung adenocarcinoma treated with stereotactic body radiation therapy using a combined deep inspiration breath hold and free breathing technique: case report and literature review

Precision Radiation Oncology ◽

10.1002/pro6.1101 ◽

2020 ◽

Vol 4 (4) ◽

pp. 125-128

Author(s):

Mona Arbab ◽

Gregory Bartlett ◽

Colleen DesRosiers ◽

Peter G Maxim ◽

Tim Lautenschlaeger

Keyword(s):

Radiation Therapy ◽

Case Report ◽

Literature Review ◽

Lung Adenocarcinoma ◽

Stereotactic Body Radiation Therapy ◽

Early Stage ◽

Free Breathing ◽

Breath Hold ◽

Deep Inspiration ◽

Deep Inspiration Breath Hold

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DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural Networks

Cancers ◽

10.3390/cancers13133308 ◽

2021 ◽

Vol 13 (13) ◽

pp. 3308

Author(s):

Won Sang Shim ◽

Kwangil Yim ◽

Tae-Jung Kim ◽

Yeoun Eun Sung ◽

Gyeongyun Lee ◽

...

Keyword(s):

Lung Adenocarcinoma ◽

Early Stage ◽

External Validation ◽

Area Under The Curve ◽

The Cancer Genome Atlas ◽

Deep Convolutional Neural Networks ◽

Prognostic Features ◽

Multi Scale ◽

Model Based ◽

Number Of Patients

The prognosis of patients with lung adenocarcinoma (LUAD), especially early-stage LUAD, is dependent on clinicopathological features. However, its predictive utility is limited. In this study, we developed and trained a DeepRePath model based on a deep convolutional neural network (CNN) using multi-scale pathology images to predict the prognosis of patients with early-stage LUAD. DeepRePath was pre-trained with 1067 hematoxylin and eosin-stained whole-slide images of LUAD from the Cancer Genome Atlas. DeepRePath was further trained and validated using two separate CNNs and multi-scale pathology images of 393 resected lung cancer specimens from patients with stage I and II LUAD. Of the 393 patients, 95 patients developed recurrence after surgical resection. The DeepRePath model showed average area under the curve (AUC) scores of 0.77 and 0.76 in cohort I and cohort II (external validation set), respectively. Owing to low performance, DeepRePath cannot be used as an automated tool in a clinical setting. When gradient-weighted class activation mapping was used, DeepRePath indicated the association between atypical nuclei, discohesive tumor cells, and tumor necrosis in pathology images showing recurrence. Despite the limitations associated with a relatively small number of patients, the DeepRePath model based on CNNs with transfer learning could predict recurrence after the curative resection of early-stage LUAD using multi-scale pathology images.

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