Right now we use the same conventional staging system for BAC as with other lung cancers. I don’t have a great alternative just yet. I can tell you that as the lead investigator on several BAC trials, there are huge differences in the natural history of their cancer, regardless of what our treatment does. For instance, the trials for BAC are generally for metastatic/recurrent disease, which can mean anything from a single 1 cm spot coming up 4 years after a lobectomy for lung cancer (expect years and years of doing well, whether on treatment or not), to both lungs filled with BAC lesions (still can be variable, but often a lot less favorable). That’s all still in the same patient group, making it pretty hard to figure out what the treatment is really doing. A trial will look great even if you give sugar cubes if it’s filled with people who have a small amount of
slow-moving BAC.
Using “response rates”, or the frequency of the measured tumors shrinking by 50% or more is a challenge because BAC can appear more like wispy clouds that don’t have clear edges than discrete masses you can draw circles around. So the wisps or cloudy infiltrates in the lungs can become less dense from a useful treatment, and you might breathe easier, but it may not be a response because the edges don’t change.
A recent trial by Olaussen and colleagues was just published in the New England Journal of Medicine that suggested that in the future oncologists may become better at identifying the patients who are more or less likely to benefit from chemotherapy after surgery for early stage non-small cell lung cancer. At this point, the marker that was being evaluated is not readily available and hasn’t been validated, but it’s a very promising lead. In this trial, the group with tumors that have low expression of this protein, called ERCC-1 (which repairs DNA damage induced from cisplatin-based chemo), did better with chemo than if they didn’t get it. The other group, who had high expression of ERCC-1 on their tumors, did better if they didn’t get chemo than if they did. Because chemo can have some unpleasant and sometimes dangerous side effects, clarifying who is more likely to benefit and who will get just side effects and no benefits would be a great help.
This adds to the conclusions from work of others, such as Dr. Rafael Rosell in Barcelona, Spain and by Dr. Gerold Bepler at Moffett Cancer Center in Tampa, FL, who have both done studies suggesting that tumor markers can soon help us predict who will benefit from certain types of chemotherapy and who will be less likely to benefit.
The limits of this study are that it was retrospective, or reviewing what was available after the fact, and that it included only tissue from a subgroup, about 40% of tumors from patients on the study. This work needs to be corroborated by further trials, especially ones that look at these questions prospectively (planned going into the study, so everyone’s tissue is included). These marker studies are not routinely performed or widely available. Before using such markers for clinical decision-making, we need to standardize how the marker studies are done and interpreted. However, this work is an early indication of how we hope to further treatment recommendations for patients with cancer in the near future.
The clinical syndrome of BAC is characterized by spread primarily through the lungs, a higher proportion of never-smokers or light former smokers, a greater proportion of women, and often progresses more slowly than most other lung cancers. This clinical and radiographic (scans) scenario isn’t necessarily seen only with “pure BAC” under the microscrope from a biopsy, but rather can be a spectrum from pure BAC to part non-invasive BAC pattern and part invasive adenocarcinoma, and on the other end of the continuum is invasive adenocarcinoma, as shown in the illustration of how these appear under a microscope.
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| Pure BAC | Adeno w/BAC Features | Invasive Adeno |